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Sample records for gene context analysis

  1. Joint genetic analysis using variant sets reveals polygenic gene-context interactions.

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    Francesco Paolo Casale

    2017-04-01

    Full Text Available Joint genetic models for multiple traits have helped to enhance association analyses. Most existing multi-trait models have been designed to increase power for detecting associations, whereas the analysis of interactions has received considerably less attention. Here, we propose iSet, a method based on linear mixed models to test for interactions between sets of variants and environmental states or other contexts. Our model generalizes previous interaction tests and in particular provides a test for local differences in the genetic architecture between contexts. We first use simulations to validate iSet before applying the model to the analysis of genotype-environment interactions in an eQTL study. Our model retrieves a larger number of interactions than alternative methods and reveals that up to 20% of cases show context-specific configurations of causal variants. Finally, we apply iSet to test for sub-group specific genetic effects in human lipid levels in a large human cohort, where we identify a gene-sex interaction for C-reactive protein that is missed by alternative methods.

  2. New Insights into the Phylogeny and Gene Context Analysis of Binder of Sperm Proteins (BSPs.

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    Edith Serrano

    Full Text Available Seminal plasma (SP proteins support the survival of spermatozoa acting not only at the plasma membrane but also by inhibition of capacitation, resulting in higher fertilizing ability. Among SP proteins, BSP (binder of sperm proteins are the most studied, since they may be useful for the improvement of semen diluents, storage and subsequent fertilization results. However, an updated and detailed phylogenetic analysis of the BSP protein superfamily has not been carried out with all the sequences described in the main databases. The update view shows for the first time an equally distributed number of sequences between the three families: BSP, and their homologs 1 (BSPH1 and 2 (BSPH2. The BSP family is divided in four subfamilies, BSP1 subfamily being the predominant, followed by subfamilies BSP3, BSP5 and BSP2. BSPH proteins were found among placental mammals (Eutheria belonging to the orders Proboscidea, Primates, Lagomorpha, Rodentia, Chiroptera, Perissodactyla and Cetartiodactyla. However, BSPH2 proteins were also found in the Scandentia order and Metatheria clade. This phylogenetic analysis, when combined with a gene context analysis, showed a completely new evolutionary scenario for the BSP superfamily of proteins with three defined different gene patterns, one for BSPs, one for BSPH1/BSPH2/ELSPBP1 and another one for BSPH1/BSPH2 without ELSPBP1. In addition, the study has permitted to define concise conserved blocks for each family (BSP, BSPH1 and BSPH2, which could be used for a more reliable assignment for the incoming sequences, for data curation of current databases, and for cloning new BSPs, as the one described in this paper, ram seminal vesicle 20 kDa protein (RSVP20, Ovis aries BSP5b.

  3. New Insights into the Phylogeny and Gene Context Analysis of Binder of Sperm Proteins (BSPs)

    Science.gov (United States)

    Arruga, Diana; Pérez-Pé, Rosaura; Sánchez-Ferrer, Álvaro; Muiño-Blanco, Teresa; Cebrián-Pérez, José A.

    2015-01-01

    Seminal plasma (SP) proteins support the survival of spermatozoa acting not only at the plasma membrane but also by inhibition of capacitation, resulting in higher fertilizing ability. Among SP proteins, BSP (binder of sperm) proteins are the most studied, since they may be useful for the improvement of semen diluents, storage and subsequent fertilization results. However, an updated and detailed phylogenetic analysis of the BSP protein superfamily has not been carried out with all the sequences described in the main databases. The update view shows for the first time an equally distributed number of sequences between the three families: BSP, and their homologs 1 (BSPH1) and 2 (BSPH2). The BSP family is divided in four subfamilies, BSP1 subfamily being the predominant, followed by subfamilies BSP3, BSP5 and BSP2. BSPH proteins were found among placental mammals (Eutheria) belonging to the orders Proboscidea, Primates, Lagomorpha, Rodentia, Chiroptera, Perissodactyla and Cetartiodactyla. However, BSPH2 proteins were also found in the Scandentia order and Metatheria clade. This phylogenetic analysis, when combined with a gene context analysis, showed a completely new evolutionary scenario for the BSP superfamily of proteins with three defined different gene patterns, one for BSPs, one for BSPH1/BSPH2/ELSPBP1 and another one for BSPH1/BSPH2 without ELSPBP1. In addition, the study has permitted to define concise conserved blocks for each family (BSP, BSPH1 and BSPH2), which could be used for a more reliable assignment for the incoming sequences, for data curation of current databases, and for cloning new BSPs, as the one described in this paper, ram seminal vesicle 20 kDa protein (RSVP20, Ovis aries BSP5b). PMID:26333091

  4. Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method.

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    Luis Tobalina

    Full Text Available Gene Essentiality Analysis based on Flux Balance Analysis (FBA-based GEA is a promising tool for the identification of novel metabolic therapeutic targets in cancer. The reconstruction of cancer-specific metabolic networks, typically based on gene expression data, constitutes a sensible step in this approach. However, to our knowledge, no extensive assessment on the influence of the reconstruction process on the obtained results has been carried out to date.In this article, we aim to study context-specific networks and their FBA-based GEA results for the identification of cancer-specific metabolic essential genes. To that end, we used gene expression datasets from the Cancer Cell Line Encyclopedia (CCLE, evaluating the results obtained in 174 cancer cell lines. In order to more clearly observe the effect of cancer-specific expression data, we did the same analysis using randomly generated expression patterns. Our computational analysis showed some essential genes that are fairly common in the reconstructions derived from both gene expression and randomly generated data. However, though of limited size, we also found a subset of essential genes that are very rare in the randomly generated networks, while recurrent in the sample derived networks, and, thus, would presumably constitute relevant drug targets for further analysis. In addition, we compare the in-silico results to high-throughput gene silencing experiments from Project Achilles with conflicting results, which leads us to raise several questions, particularly the strong influence of the selected biomass reaction on the obtained results. Notwithstanding, using previous literature in cancer research, we evaluated the most relevant of our targets in three different cancer cell lines, two derived from Gliobastoma Multiforme and one from Non-Small Cell Lung Cancer, finding that some of the predictions are in the right track.

  5. Context Sensitive Article Ranking with Citation Context Analysis

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    Doslu, Metin

    2015-01-01

    It is hard to detect important articles in a specific context. Information retrieval techniques based on full text search can be inaccurate to identify main topics and they are not able to provide an indication about the importance of the article. Generating a citation network is a good way to find most popular articles but this approach is not context aware. The text around a citation mark is generally a good summary of the referred article. So citation context analysis presents an opportunity to use the wisdom of crowd for detecting important articles in a context sensitive way. In this work, we analyze citation contexts to rank articles properly for a given topic. The model proposed uses citation contexts in order to create a directed and weighted citation network based on the target topic. We create a directed and weighted edge between two articles if citation context contains terms related with the target topic. Then we apply common ranking algorithms in order to find important articles in this newly cre...

  6. Gene set analysis for GWAS

    DEFF Research Database (Denmark)

    Debrabant, Birgit; Soerensen, Mette

    2014-01-01

    Abstract We discuss the use of modified Kolmogorov-Smirnov (KS) statistics in the context of gene set analysis and review corresponding null and alternative hypotheses. Especially, we show that, when enhancing the impact of highly significant genes in the calculation of the test statistic...... parameter and the genesis and distribution of the gene-level statistics, and illustrate the effects of differential weighting in a real-life example....

  7. Structure-guided mutational analysis of gene regulation by the Bacillus subtilis pbuE adenine-responsive riboswitch in a cellular context.

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    Marcano-Velázquez, Joan G; Batey, Robert T

    2015-02-13

    Riboswitches are a broadly distributed form of RNA-based gene regulation in Bacteria and, more rarely, Archaea and Eukarya. Most often found in the 5'-leader sequence of bacterial mRNAs, they are generally composed of two functional domains: a receptor (aptamer) domain that binds an effector molecule and a regulatory domain (or expression platform) that instructs the expression machinery. One of the most studied riboswitches is the Bacillus subtilis adenine-responsive pbuE riboswitch, which regulates gene expression at the transcriptional level, up-regulating expression in response to increased intracellular effector concentrations. In this work, we analyzed sequence and structural elements that contribute to efficient ligand-dependent regulatory activity in a co-transcriptional and cellular context. Unexpectedly, we found that the P1 helix, which acts as the antitermination element of the switch in this RNA, supported ligand-dependent activation of a reporter gene over a broad spectrum of lengths from 3 to 10 bp. This same trend was also observed using a minimal in vitro single-turnover transcription assay, revealing that this behavior is intrinsic to the RNA sequence. We also found that the sequences at the distal tip of the terminator not directly involved in alternative secondary structure formation are highly important for efficient regulation. These data strongly support a model in which the switch is highly localized to the P1 helix adjacent to the ligand-binding pocket that likely presents a local kinetic block to invasion of the aptamer by the terminator.

  8. Gene perturbation and intervention in context-sensitive stochastic Boolean networks

    Science.gov (United States)

    2014-01-01

    Background In a gene regulatory network (GRN), gene expressions are affected by noise, and stochastic fluctuations exist in the interactions among genes. These stochastic interactions are context dependent, thus it becomes important to consider noise in a context-sensitive manner in a network model. As a logical model, context-sensitive probabilistic Boolean networks (CSPBNs) account for molecular and genetic noise in the temporal context of gene functions. In a CSPBN with n genes and k contexts, however, a computational complexity of O(nk222n ) (or O(nk2 n )) is required for an accurate (or approximate) computation of the state transition matrix (STM) of the size (2 n ∙ k) × (2 n ∙ k) (or 2 n × 2 n ). The evaluation of a steady state distribution (SSD) is more challenging. Recently, stochastic Boolean networks (SBNs) have been proposed as an efficient implementation of an instantaneous PBN. Results The notion of stochastic Boolean networks (SBNs) is extended for the general model of PBNs, i.e., CSPBNs. This yields a novel structure of context-sensitive SBNs (CSSBNs) for modeling the stochasticity in a GRN. A CSSBN enables an efficient simulation of a CSPBN with a complexity of O(nLk2 n ) for computing the state transition matrix, where L is a factor related to the required sequence length in CSSBN for achieving a desired accuracy. A time-frame expanded CSSBN can further efficiently simulate the stationary behavior of a CSPBN and allow for a tunable tradeoff between accuracy and efficiency. The CSSBN approach is more efficient than an analytical method and more accurate than an approximate analysis. Conclusions Context-sensitive stochastic Boolean networks (CSSBNs) are proposed as an efficient approach to modeling the effects of gene perturbation and intervention in gene regulatory networks. A CSSBN analysis provides biologically meaningful insights into the oscillatory dynamics of the p53-Mdm2 network in a context-switching environment. It is shown that

  9. Spatiochromatic Context Modeling for Color Saliency Analysis.

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    Zhang, Jun; Wang, Meng; Zhang, Shengping; Li, Xuelong; Wu, Xindong

    2016-06-01

    Visual saliency is one of the most noteworthy perceptual abilities of human vision. Recent progress in cognitive psychology suggests that: 1) visual saliency analysis is mainly completed by the bottom-up mechanism consisting of feedforward low-level processing in primary visual cortex (area V1) and 2) color interacts with spatial cues and is influenced by the neighborhood context, and thus it plays an important role in a visual saliency analysis. From a computational perspective, the most existing saliency modeling approaches exploit multiple independent visual cues, irrespective of their interactions (or are not computed explicitly), and ignore contextual influences induced by neighboring colors. In addition, the use of color is often underestimated in the visual saliency analysis. In this paper, we propose a simple yet effective color saliency model that considers color as the only visual cue and mimics the color processing in V1. Our approach uses region-/boundary-defined color features with spatiochromatic filtering by considering local color-orientation interactions, therefore captures homogeneous color elements, subtle textures within the object and the overall salient object from the color image. To account for color contextual influences, we present a divisive normalization method for chromatic stimuli through the pooling of contrary/complementary color units. We further define a color perceptual metric over the entire scene to produce saliency maps for color regions and color boundaries individually. These maps are finally globally integrated into a one single saliency map. The final saliency map is produced by Gaussian blurring for robustness. We evaluate the proposed method on both synthetic stimuli and several benchmark saliency data sets from the visual saliency analysis to salient object detection. The experimental results demonstrate that the use of color as a unique visual cue achieves competitive results on par with or better than 12 state

  10. Automatic, context-specific generation of Gene Ontology slims

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    Sehgal Muhammad

    2010-10-01

    Full Text Available Abstract Background The use of ontologies to control vocabulary and structure annotation has added value to genome-scale data, and contributed to the capture and re-use of knowledge across research domains. Gene Ontology (GO is widely used to capture detailed expert knowledge in genomic-scale datasets and as a consequence has grown to contain many terms, making it unwieldy for many applications. To increase its ease of manipulation and efficiency of use, subsets called GO slims are often created by collapsing terms upward into more general, high-level terms relevant to a particular context. Creation of a GO slim currently requires manipulation and editing of GO by an expert (or community familiar with both the ontology and the biological context. Decisions about which terms to include are necessarily subjective, and the creation process itself and subsequent curation are time-consuming and largely manual. Results Here we present an objective framework for generating customised ontology slims for specific annotated datasets, exploiting information latent in the structure of the ontology graph and in the annotation data. This framework combines ontology engineering approaches, and a data-driven algorithm that draws on graph and information theory. We illustrate this method by application to GO, generating GO slims at different information thresholds, characterising their depth of semantics and demonstrating the resulting gains in statistical power. Conclusions Our GO slim creation pipeline is available for use in conjunction with any GO-annotated dataset, and creates dataset-specific, objectively defined slims. This method is fast and scalable for application to other biomedical ontologies.

  11. Context-driven discovery of gene cassettes in mobile integrons using a computational grammar

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    Schaeffer Jaron

    2009-09-01

    Full Text Available Abstract Background Gene discovery algorithms typically examine sequence data for low level patterns. A novel method to computationally discover higher order DNA structures is presented, using a context sensitive grammar. The algorithm was applied to the discovery of gene cassettes associated with integrons. The discovery and annotation of antibiotic resistance genes in such cassettes is essential for effective monitoring of antibiotic resistance patterns and formulation of public health antibiotic prescription policies. Results We discovered two new putative gene cassettes using the method, from 276 integron features and 978 GenBank sequences. The system achieved κ = 0.972 annotation agreement with an expert gold standard of 300 sequences. In rediscovery experiments, we deleted 789,196 cassette instances over 2030 experiments and correctly relabelled 85.6% (α ≥ 95%, E ≤ 1%, mean sensitivity = 0.86, specificity = 1, F-score = 0.93, with no false positives. Error analysis demonstrated that for 72,338 missed deletions, two adjacent deleted cassettes were labeled as a single cassette, increasing performance to 94.8% (mean sensitivity = 0.92, specificity = 1, F-score = 0.96. Conclusion Using grammars we were able to represent heuristic background knowledge about large and complex structures in DNA. Importantly, we were also able to use the context embedded in the model to discover new putative antibiotic resistance gene cassettes. The method is complementary to existing automatic annotation systems which operate at the sequence level.

  12. Analysis and modeling of "focus" in context

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    Hovy, Dirk; Anumanchipalli, Gopala; Parlikar, Alok

    2013-01-01

    This paper uses a crowd-sourced definition of a speech phenomenon we have called focus. Given sentences, text and speech, in isolation and in context, we asked annotators to identify what we term the focus word. We present their consistency in identifying the focused word, when presented with text...

  13. Investigating meta-approaches for reconstructing gene networks in a mammalian cellular context.

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    Azree Nazri

    Full Text Available The output of state-of-the-art reverse-engineering methods for biological networks is often based on the fitting of a mathematical model to the data. Typically, different datasets do not give single consistent network predictions but rather an ensemble of inconsistent networks inferred under the same reverse-engineering method that are only consistent with the specific experimentally measured data. Here, we focus on an alternative approach for combining the information contained within such an ensemble of inconsistent gene networks called meta-analysis, to make more accurate predictions and to estimate the reliability of these predictions. We review two existing meta-analysis approaches; the Fisher transformation combined coefficient test (FTCCT and Fisher's inverse combined probability test (FICPT; and compare their performance with five well-known methods, ARACNe, Context Likelihood or Relatedness network (CLR, Maximum Relevance Minimum Redundancy (MRNET, Relevance Network (RN and Bayesian Network (BN. We conducted in-depth numerical ensemble simulations and demonstrated for biological expression data that the meta-analysis approaches consistently outperformed the best gene regulatory network inference (GRNI methods in the literature. Furthermore, the meta-analysis approaches have a low computational complexity. We conclude that the meta-analysis approaches are a powerful tool for integrating different datasets to give more accurate and reliable predictions for biological networks.

  14. Context Dependent Analysis of BioAmbients

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    Pilegaard, Henrik; Nielson, Flemming; Nielson, Hanne Riis

    2006-01-01

    BioAmbients is a derivative of mobile ambients that has shown promise of describing interesting features of the behaviour of biological systems. The technical contribution of this paper is to extend the Flow Logic approach to static analysis with a couple of new techniques in order to give precise...... information about the behaviour of systems written in BioAmbients. Applying the development to a simple model of a cell releasing nutrients from food compunds we illustrate how the proposed analysis does indeed improve on previous efforts....

  15. Context Dependent Analysis of BioAmbients

    DEFF Research Database (Denmark)

    Pilegaard, Henrik; Nielson, Flemming; Nielson, Hanne Riis

    2006-01-01

    BioAmbients is a derivative of mobile ambients that has shown promise of describing interesting features of the behaviour of biological systems. The technical contribution of this paper is to extend the Flow Logic approach to static analysis with a couple of new techniques in order to give precise...... information about the behaviour of systems written in BioAmbients. Applying the development to a simple model of a cell releasing nutrients from food compunds we illustrate how the proposed analysis does indeed improve on previous efforts....

  16. Computational Understanding: Analysis of Sentences and Context

    Science.gov (United States)

    1974-05-01

    to take English texts, disambxguate the words and semantic relationships in- volved, and settle questions like anaphoric reference, to the point...rather than what the word in isolation might mean. Tfit theory of text analysis ?.l*o stresses binding by predictions. To assume that a word is...cluster is basically the bundle of predictions and structures, knowledge that can bind a ’.ext into a unit. The cluster has much the same theoretical

  17. Characterizing genes with distinct methylation patterns in the context of protein-protein interaction network: application to human brain tissues.

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    Li, Yongsheng; Xu, Juan; Chen, Hong; Zhao, Zheng; Li, Shengli; Bai, Jing; Wu, Aiwei; Jiang, Chunjie; Wang, Yuan; Su, Bin; Li, Xia

    2013-01-01

    DNA methylation is an essential epigenetic mechanism involved in transcriptional control. However, how genes with different methylation patterns are assembled in the protein-protein interaction network (PPIN) remains a mystery. In the present study, we systematically dissected the characterization of genes with different methylation patterns in the PPIN. A negative association was detected between the methylation levels in the brain tissues and topological centralities. By focusing on two classes of genes with considerably different methylation levels in the brain tissues, namely the low methylated genes (LMGs) and high methylated genes (HMGs), we found that their organizing principles in the PPIN are distinct. The LMGs tend to be the center of the PPIN, and attacking them causes a more deleterious effect on the network integrity. Furthermore, the LMGs express their functions in a modular pattern and substantial differences in functions are observed between the two types of genes. The LMGs are enriched in the basic biological functions, such as binding activity and regulation of transcription. More importantly, cancer genes, especially recessive cancer genes, essential genes, and aging-related genes were all found more often in the LMGs. Additionally, our analysis presented that the intra-classes communications are enhanced, but inter-classes communications are repressed. Finally, a functional complementation was revealed between methylation and miRNA regulation in the human genome. We have elucidated the assembling principles of genes with different methylation levels in the context of the PPIN, providing key insights into the complex epigenetic regulation mechanisms.

  18. Function analysis of unknown genes

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    Rogowska-Wrzesinska, A.

    2002-01-01

      This thesis entitled "Function analysis of unknown genes" presents the use of proteome analysis for the characterisation of yeast (Saccharomyces cerevisiae) genes and their products (proteins especially those of unknown function). This study illustrates that proteome analysis can be used...... to describe different aspects of molecular biology of the cell, to study changes that occur in the cell due to overexpression or deletion of a gene and to identify various protein modifications. The biological questions and the results of the described studies show the diversity of the information that can...... genes and proteins. It reports the first global proteome database collecting 36 yeast single gene deletion mutants and selecting over 650 differences between analysed mutants and the wild type strain. The obtained results show that two-dimensional gel electrophoresis and mass spectrometry based proteome...

  19. Chromatin analysis of occluded genes

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    Lee, Jae Hyun; Gaetz, Jedidiah; Bugarija, Branimir; Fernandes, Croydon J.; Snyder, Gregory E.; Bush, Eliot C.; Lahn, Bruce T.

    2009-01-01

    We recently described two opposing states of transcriptional competency. One is termed ‘competent’ whereby a gene is capable of responding to trans-acting transcription factors of the cell, such that it is active if appropriate transcriptional activators are present, though it can also be silent if activators are absent or repressors are present. The other is termed ‘occluded’ whereby a gene is silenced by cis-acting, chromatin-based mechanisms in a manner that blocks it from responding to trans-acting factors, such that it is silent even when activators are present in the cellular milieu. We proposed that gene occlusion is a mechanism by which differentiated cells stably maintain their phenotypic identities. Here, we describe chromatin analysis of occluded genes. We found that DNA methylation plays a causal role in maintaining occlusion for a subset of occluded genes. We further examined a variety of other chromatin marks typically associated with transcriptional silencing, including histone variants, covalent histone modifications and chromatin-associated proteins. Surprisingly, we found that although many of these marks are robustly linked to silent genes (which include both occluded genes and genes that are competent but silent), none is linked specifically to occluded genes. Although the observation does not rule out a possible causal role of these chromatin marks in occlusion, it does suggest that these marks might be secondary effect rather than primary cause of the silent state in many genes. PMID:19380460

  20. Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data

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    Biecek Przemysław

    2011-06-01

    Full Text Available Abstract Background Deregulation between two different cell populations manifests itself in changing gene expression patterns and changing regulatory interactions. Accumulating knowledge about biological networks creates an opportunity to study these changes in their cellular context. Results We analyze re-wiring of regulatory networks based on cell population-specific perturbation data and knowledge about signaling pathways and their target genes. We quantify deregulation by merging regulatory signal from the two cell populations into one score. This joint approach, called JODA, proves advantageous over separate analysis of the cell populations and analysis without incorporation of knowledge. JODA is implemented and freely available in a Bioconductor package 'joda'. Conclusions Using JODA, we show wide-spread re-wiring of gene regulatory networks upon neocarzinostatin-induced DNA damage in Human cells. We recover 645 deregulated genes in thirteen functional clusters performing the rich program of response to damage. We find that the clusters contain many previously characterized neocarzinostatin target genes. We investigate connectivity between those genes, explaining their cooperation in performing the common functions. We review genes with the most extreme deregulation scores, reporting their involvement in response to DNA damage. Finally, we investigate the indirect impact of the ATM pathway on the deregulated genes, and build a hypothetical hierarchy of direct regulation. These results prove that JODA is a step forward to a systems level, mechanistic understanding of changes in gene regulation between different cell populations.

  1. Exploiting multi-context analysis in semantic image classification

    Institute of Scientific and Technical Information of China (English)

    TIAN Yong-hong; HUANG Tie-jun; GAO Wen

    2005-01-01

    As the popularity of digital images is rapidly increasing on the Internet, research on technologies for semantic image classification has become an important research topic. However, the well-known content-based image classification methods do not overcome the so-called semantic gap problem in which low-level visual features cannot represent the high-level semantic content of images. Image classification using visual and textual information often performs poorly since the extracted textual features are often too limited to accurately represent the images. In this paper, we propose a semantic image classification approach using multi-context analysis. For a given image, we model the relevant textual information as its multi-modal context, and regard the related images connected by hyperlinks as its link context. Two kinds of context analysis models, i.e., cross-modal correlation analysis and link-based correlation model, are used to capture the correlation among different modals of features and the topical dependency among images induced by the link structure. We propose a new collective classification model called relational support vector classifier (RSVC) based on the well-known Support Vector Machines (SVMs) and the link-based correlation model. Experiments showed that the proposed approach significantly improved classification accuracy over that of SVM classifiers using visual and/or textual features.

  2. Sentiment analysis using common-sense and context information.

    Science.gov (United States)

    Agarwal, Basant; Mittal, Namita; Bansal, Pooja; Garg, Sonal

    2015-01-01

    Sentiment analysis research has been increasing tremendously in recent times due to the wide range of business and social applications. Sentiment analysis from unstructured natural language text has recently received considerable attention from the research community. In this paper, we propose a novel sentiment analysis model based on common-sense knowledge extracted from ConceptNet based ontology and context information. ConceptNet based ontology is used to determine the domain specific concepts which in turn produced the domain specific important features. Further, the polarities of the extracted concepts are determined using the contextual polarity lexicon which we developed by considering the context information of a word. Finally, semantic orientations of domain specific features of the review document are aggregated based on the importance of a feature with respect to the domain. The importance of the feature is determined by the depth of the feature in the ontology. Experimental results show the effectiveness of the proposed methods.

  3. The Drosophila Perlecan gene trol regulates multiple signaling pathways in different developmental contexts

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    Perry Trinity L

    2007-11-01

    Full Text Available Abstract Background Heparan sulfate proteoglycans modulate signaling by a variety of growth factors. The mammalian proteoglycan Perlecan binds and regulates signaling by Sonic Hedgehog, Fibroblast Growth Factors (FGFs, Vascular Endothelial Growth Factor (VEGF and Platelet Derived Growth Factor (PDGF, among others, in contexts ranging from angiogenesis and cardiovascular development to cancer progression. The Drosophila Perlecan homolog trol has been shown to regulate the activity of Hedgehog and Branchless (an FGF homolog to control the onset of stem cell proliferation in the developing brain during first instar. Here we extend analysis of trol mutant phenotypes to show that trol is required for a variety of developmental events and modulates signaling by multiple growth factors in different situations. Results Different mutations in trol allow developmental progression to varying extents, suggesting that trol is involved in multiple cell-fate and patterning decisions. Analysis of the initiation of neuroblast proliferation at second instar demonstrated that trol regulates this event by modulating signaling by Hedgehog and Branchless, as it does during first instar. Trol protein is distributed over the surface of the larval brain, near the regulated neuroblasts that reside on the cortical surface. Mutations in trol also decrease the number of circulating plasmatocytes. This is likely to be due to decreased expression of pointed, the response gene for VEGF/PDGF signaling that is required for plasmatocyte proliferation. Trol is found on plasmatocytes, where it could regulate VEGF/PDGF signaling. Finally, we show that in second instar brains but not third instar brain lobes and eye discs, mutations in trol affect signaling by Decapentaplegic (a Transforming Growth Factor family member, Wingless (a Wnt growth factor and Hedgehog. Conclusion These studies extend the known functions of the Drosophila Perlecan homolog trol in both developmental and

  4. Prosecutor: parameter-free inference of gene function for prokaryotes using DNA microarray data, genomic context and multiple gene annotation sources

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    van Hijum Sacha AFT

    2008-10-01

    Full Text Available Abstract Background Despite a plethora of functional genomic efforts, the function of many genes in sequenced genomes remains unknown. The increasing amount of microarray data for many species allows employing the guilt-by-association principle to predict function on a large scale: genes exhibiting similar expression patterns are more likely to participate in shared biological processes. Results We developed Prosecutor, an application that enables researchers to rapidly infer gene function based on available gene expression data and functional annotations. Our parameter-free functional prediction method uses a sensitive algorithm to achieve a high association rate of linking genes with unknown function to annotated genes. Furthermore, Prosecutor utilizes additional biological information such as genomic context and known regulatory mechanisms that are specific for prokaryotes. We analyzed publicly available transcriptome data sets and used literature sources to validate putative functions suggested by Prosecutor. We supply the complete results of our analysis for 11 prokaryotic organisms on a dedicated website. Conclusion The Prosecutor software and supplementary datasets available at http://www.prosecutor.nl allow researchers working on any of the analyzed organisms to quickly identify the putative functions of their genes of interest. A de novo analysis allows new organisms to be studied.

  5. Transcriptional analysis of Pleurotus ostreatus laccase genes.

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    Pezzella, Cinzia; Lettera, Vincenzo; Piscitelli, Alessandra; Giardina, Paola; Sannia, Giovanni

    2013-01-01

    Fungal laccases (p-diphenol:oxygen oxidoreductase; EC 1.10.3.2) are multi-copper-containing oxidases that catalyse the oxidation of a great variety of phenolic compounds and aromatic amines through simultaneous reduction of molecular oxygen to water. Fungi generally produce several laccase isoenzymes encoded by complex multi-gene families. The Pleurotus ostreatus genome encodes 11 putative laccase coding genes, and only six different laccase isoenzymes have been isolated and characterised so far. Laccase expression was found to be regulated by culture conditions and developmental stages even if the redundancy of these genes still raises the question about their respective functions in vivo. In this context, laccase transcript profiling analysis has been used to unravel the physiological role played by the different isoforms produced by P. ostreatus. Even if reported results depict a complex picture of the transcriptional responses exhibited by the analysed laccase genes, they were allowed to speculate on the isoform role in vivo. Among the produced laccases, LACC10 (POXC) seems to play a major role during vegetative growth, since its transcription is downregulated when the fungus starts the fructification process. Furthermore, a new tessera has been added to the puzzling mosaic of the heterodimeric laccase LACC2 (POXA3). LACC2 small subunit seems to play an additional physiological role during fructification, beside that of LACC2 complex activation/stabilisation.

  6. LINGUISTIC ANALYSIS OF ECONOMIC TERMS IN CULTURAL CONTEXTS

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    Gurenkova, Y.V.

    2017-06-01

    Full Text Available This article is the result of a comparative analysis of five economic terms ("business", "competition", "salary", "boss", "profit" in the context of the culture of Russia and the United States. The research shows that some words were borrowed in both languages from different sources (for example, "salary", some of them were borrowed from one source (for example, "business", and some were received from own original words (for example, "profit", "boss". Comparison of cultural contexts and dictionary entries shows that the terms analyzed in this paper primarily help to understand how the two countries (Russia and the US can be culturally different. The study also illustrates how these terms have developed their own additional meanings, characteristic of their cultural and social development. Consequently, certain concepts can be transformed through the prism of a cultural vision of the world of different peoples.

  7. Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering.

    Science.gov (United States)

    Gao, Chuan; McDowell, Ian C; Zhao, Shiwen; Brown, Christopher D; Engelhardt, Barbara E

    2016-07-01

    Identifying latent structure in high-dimensional genomic data is essential for exploring biological processes. Here, we consider recovering gene co-expression networks from gene expression data, where each network encodes relationships between genes that are co-regulated by shared biological mechanisms. To do this, we develop a Bayesian statistical model for biclustering to infer subsets of co-regulated genes that covary in all of the samples or in only a subset of the samples. Our biclustering method, BicMix, allows overcomplete representations of the data, computational tractability, and joint modeling of unknown confounders and biological signals. Compared with related biclustering methods, BicMix recovers latent structure with higher precision across diverse simulation scenarios as compared to state-of-the-art biclustering methods. Further, we develop a principled method to recover context specific gene co-expression networks from the estimated sparse biclustering matrices. We apply BicMix to breast cancer gene expression data and to gene expression data from a cardiovascular study cohort, and we recover gene co-expression networks that are differential across ER+ and ER- samples and across male and female samples. We apply BicMix to the Genotype-Tissue Expression (GTEx) pilot data, and we find tissue specific gene networks. We validate these findings by using our tissue specific networks to identify trans-eQTLs specific to one of four primary tissues.

  8. Comparative analysis of codon usage bias and codon context patterns between dipteran and hymenopteran sequenced genomes.

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    Susanta K Behura

    Full Text Available BACKGROUND: Codon bias is a phenomenon of non-uniform usage of codons whereas codon context generally refers to sequential pair of codons in a gene. Although genome sequencing of multiple species of dipteran and hymenopteran insects have been completed only a few of these species have been analyzed for codon usage bias. METHODS AND PRINCIPAL FINDINGS: Here, we use bioinformatics approaches to analyze codon usage bias and codon context patterns in a genome-wide manner among 15 dipteran and 7 hymenopteran insect species. Results show that GAA is the most frequent codon in the dipteran species whereas GAG is the most frequent codon in the hymenopteran species. Data reveals that codons ending with C or G are frequently used in the dipteran genomes whereas codons ending with A or T are frequently used in the hymenopteran genomes. Synonymous codon usage orders (SCUO vary within genomes in a pattern that seems to be distinct for each species. Based on comparison of 30 one-to-one orthologous genes among 17 species, the fruit fly Drosophila willistoni shows the least codon usage bias whereas the honey bee (Apis mellifera shows the highest bias. Analysis of codon context patterns of these insects shows that specific codons are frequently used as the 3'- and 5'-context of start and stop codons, respectively. CONCLUSIONS: Codon bias pattern is distinct between dipteran and hymenopteran insects. While codon bias is favored by high GC content of dipteran genomes, high AT content of genes favors biased usage of synonymous codons in the hymenopteran insects. Also, codon context patterns vary among these species largely according to their phylogeny.

  9. Temporal dynamics of Arc gene induction in hippocampus: relationship to context memory formation.

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    Pevzner, Aleksandr; Miyashita, Teiko; Schiffman, Aaron J; Guzowski, John F

    2012-03-01

    Past studies have proposed a role for the hippocampus in the rapid encoding of context memories. Despite this, there is little data regarding the molecular processes underlying the stable formation of a context representation that occurs in the time window established through such behavioral studies. One task that is useful for investigating the rapid encoding of context is contextual fear conditioning (CFC). Behavioral studies demonstrate that animals require approximately 30 s of exploration prior to a footshock to form a contextual representation supporting CFC. Thus, any potential molecular process required for the stabilization of the cellular representation for context must be activated within this narrow and behaviorally defined time window. Detection of the immediate-early gene Arc presents an ideal method to assess the activation of specific neuronal ensembles, given past studies showing the context specific expression of Arc in CA3 and CA1 subfields and the role of Arc in hippocampal long-term synaptic plasticity. Therefore, we examined the temporal dynamics of Arc induction within the hippocampus after brief context exposure to determine whether experience-dependent Arc expression could be involved in the rapid encoding of incidental context memories. We found that the duration of context exposure differentially activated Arc expression in hippocampal subfields, with CA3 showing rapid engagement within as little as 3 s of exposure. By contrast, Arc induction in CA1 required 30 s of context exposure to reach maximal levels. A parallel behavioral experiment revealed that 30 s, but not 3 s, exposure to a context resulted in strong conditioned freezing 24 h later, consistent with past studies from other laboratories. The current study is the first to examine the rapid temporal dynamics of Arc induction in hippocampus in a well-defined context memory paradigm. These studies demonstrate within 30 s of context exposure Arc is fully activated in CA3 and CA1

  10. Knowledge-guided gene ranking by coordinative component analysis.

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    Wang, Chen; Xuan, Jianhua; Li, Huai; Wang, Yue; Zhan, Ming; Hoffman, Eric P; Clarke, Robert

    2010-03-30

    In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those genes that are strongly associated with the functionality of a network. Traditional statistical methods are often inept to identify biologically relevant member genes, motivating researchers to incorporate biological knowledge into gene ranking methods. However, current integration strategies are often heuristic and fail to incorporate fully the true interplay between biological knowledge and gene expression data. To improve knowledge-guided gene ranking, we propose a novel method called coordinative component analysis (COCA) in this paper. COCA explicitly captures those genes within a specific biological context that are likely to be expressed in a coordinative manner. Formulated as an optimization problem to maximize the coordinative effort, COCA is designed to first extract the coordinative components based on a partial guidance from knowledge genes and then rank the genes according to their participation strengths. An embedded bootstrapping procedure is implemented to improve statistical robustness of the solutions. COCA was initially tested on simulation data and then on published gene expression microarray data to demonstrate its improved performance as compared to traditional statistical methods. Finally, the COCA approach has been applied to stem cell data to identify biologically relevant genes in signaling pathways. As a result, the COCA approach uncovers novel pathway members that may shed light into the pathway deregulation in cancers. We have developed a new integrative strategy to combine biological knowledge and microarray data for gene ranking. The method utilizes knowledge genes for a guidance to first extract coordinative components, and then rank the genes according to their contribution related to a network or pathway. The experimental results show that such a knowledge-guided strategy

  11. Survivor in the cancer context: a concept analysis.

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    Hebdon, Megan; Foli, Karen; McComb, Sara

    2015-08-01

    The aim of this analysis was to define survivor in the cancer context. Cancer survivor has been used in the cancer lexicon, but may not represent the individuals it defines. This concept analysis was completed according to Walker and Avant's method. PubMed, PsychInfo, CINAHL, JSTOR, Google and medical and public health websites. Thirty sources from multiple disciplines, published between 1987-2013, were analysed for recurrent themes and conceptual meaning. Critical attributes, antecedents and consequences were extrapolated. Model, related and contrary cases were developed based on an amalgamation of clinical observations. Illegitimate, borderline and invented cases were excluded for this reason. Survivor in the cancer context is an individual with a history of malignancy, who has lived through a personalized challenge and has ongoing positive and negative consequences. Not all cancer survivors would identify themselves using the term survivor. This contributes to the paradigm shift of cancer as a chronic disease as it establishes the unique nature of the cancer experience while highlighting the long-term concerns related to this set of diseases. The Theory of Uncertainty in Illness provides a framework to understand the individualized nature of being a cancer survivor. Nursing research and practice should address the personal experiences of cancer survivors while still focusing on general survivorship needs. © 2015 John Wiley & Sons Ltd.

  12. A sequence-based approach to identify reference genes for gene expression analysis

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    Chari Raj

    2010-08-01

    Full Text Available Abstract Background An important consideration when analyzing both microarray and quantitative PCR expression data is the selection of appropriate genes as endogenous controls or reference genes. This step is especially critical when identifying genes differentially expressed between datasets. Moreover, reference genes suitable in one context (e.g. lung cancer may not be suitable in another (e.g. breast cancer. Currently, the main approach to identify reference genes involves the mining of expression microarray data for highly expressed and relatively constant transcripts across a sample set. A caveat here is the requirement for transcript normalization prior to analysis, and measurements obtained are relative, not absolute. Alternatively, as sequencing-based technologies provide digital quantitative output, absolute quantification ensues, and reference gene identification becomes more accurate. Methods Serial analysis of gene expression (SAGE profiles of non-malignant and malignant lung samples were compared using a permutation test to identify the most stably expressed genes across all samples. Subsequently, the specificity of the reference genes was evaluated across multiple tissue types, their constancy of expression was assessed using quantitative RT-PCR (qPCR, and their impact on differential expression analysis of microarray data was evaluated. Results We show that (i conventional references genes such as ACTB and GAPDH are highly variable between cancerous and non-cancerous samples, (ii reference genes identified for lung cancer do not perform well for other cancer types (breast and brain, (iii reference genes identified through SAGE show low variability using qPCR in a different cohort of samples, and (iv normalization of a lung cancer gene expression microarray dataset with or without our reference genes, yields different results for differential gene expression and subsequent analyses. Specifically, key established pathways in lung

  13. Genome-scale study of the importance of binding site context for transcription factor binding and gene regulation

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    Ronne Hans

    2008-11-01

    Full Text Available Abstract Background The rate of mRNA transcription is controlled by transcription factors that bind to specific DNA motifs in promoter regions upstream of protein coding genes. Recent results indicate that not only the presence of a motif but also motif context (for example the orientation of a motif or its location relative to the coding sequence is important for gene regulation. Results In this study we present ContextFinder, a tool that is specifically aimed at identifying cases where motif context is likely to affect gene regulation. We used ContextFinder to examine the role of motif context in S. cerevisiae both for DNA binding by transcription factors and for effects on gene expression. For DNA binding we found significant patterns of motif location bias, whereas motif orientations did not seem to matter. Motif context appears to affect gene expression even more than it affects DNA binding, as biases in both motif location and orientation were more frequent in promoters of co-expressed genes. We validated our results against data on nucleosome positioning, and found a negative correlation between preferred motif locations and nucleosome occupancy. Conclusion We conclude that the requirement for stable binding of transcription factors to DNA and their subsequent function in gene regulation can impose constraints on motif context.

  14. Global gene expression analysis for evaluation and design of biomaterials

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    Nobutaka Hanagata, Taro Takemura and Takashi Minowa

    2010-01-01

    Full Text Available Comprehensive gene expression analysis using DNA microarrays has become a widespread technique in molecular biological research. In the biomaterials field, it is used to evaluate the biocompatibility or cellular toxicity of metals, polymers and ceramics. Studies in this field have extracted differentially expressed genes in the context of differences in cellular responses among multiple materials. Based on these genes, the effects of materials on cells at the molecular level have been examined. Expression data ranging from several to tens of thousands of genes can be obtained from DNA microarrays. For this reason, several tens or hundreds of differentially expressed genes are often present in different materials. In this review, we outline the principles of DNA microarrays, and provide an introduction to methods of extracting information which is useful for evaluating and designing biomaterials from comprehensive gene expression data.

  15. Comparative genomic analysis of eutherian kallikrein genes

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    Marko Premzl

    2017-03-01

    Full Text Available The present study made attempts to update and revise eutherian kallikrein genes implicated in major physiological and pathological processes and in medical molecular diagnostics. Using eutherian comparative genomic analysis protocol and free available genomic sequence assemblies, the tests of reliability of eutherian public genomic sequences annotated most comprehensive curated third party data gene data set of eutherian kallikrein genes including 121 complete coding sequences among 335 potential coding sequences. The present analysis first described 13 major gene clusters of eutherian kallikrein genes, and explained their differential gene expansion patterns. One updated classification and nomenclature of eutherian kallikrein genes was proposed, as new framework of future experiments.

  16. Gene set analysis for longitudinal gene expression data

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    Piepho Hans-Peter

    2011-07-01

    Full Text Available Abstract Background Gene set analysis (GSA has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. GSA performs statistical tests for independent microarray samples at the level of gene sets rather than individual genes. Nowadays, an increasing number of microarray studies are conducted to explore the dynamic changes of gene expression in a variety of species and biological scenarios. In these longitudinal studies, gene expression is repeatedly measured over time such that a GSA needs to take into account the within-gene correlations in addition to possible between-gene correlations. Results We provide a robust nonparametric approach to compare the expressions of longitudinally measured sets of genes under multiple treatments or experimental conditions. The limiting distributions of our statistics are derived when the number of genes goes to infinity while the number of replications can be small. When the number of genes in a gene set is small, we recommend permutation tests based on our nonparametric test statistics to achieve reliable type I error and better power while incorporating unknown correlations between and within-genes. Simulation results demonstrate that the proposed method has a greater power than other methods for various data distributions and heteroscedastic correlation structures. This method was used for an IL-2 stimulation study and significantly altered gene sets were identified. Conclusions The simulation study and the real data application showed that the proposed gene set analysis provides a promising tool for longitudinal microarray analysis. R scripts for simulating longitudinal data and calculating the nonparametric statistics are posted on the North Dakota INBRE website http://ndinbre.org/programs/bioinformatics.php. Raw microarray data is available in Gene Expression Omnibus (National Center for Biotechnology Information with

  17. The Analysis of Communicative Context Adaptation in English Advertisements

    Institute of Scientific and Technical Information of China (English)

    向凤雅; 杨婧; 张明耀

    2015-01-01

    Communicative context adaptation,a non-linguistic context is one of Verschueren’s Adaptation Theory.To master key elements of communicative of communicative context adaptation help us in the process of advertisements translation.Here,we will detail it from the three aspects-the adaptation to the physical world,the mental world and the social world.

  18. The Analysis of Communicative Context Adaptation in English Advertisements

    Institute of Scientific and Technical Information of China (English)

    向凤雅; 杨婧; 张明耀

    2015-01-01

    Communicative context adaptation,a non-linguistic context is one of Verschueren's Adaptation Theory.To master key elements of communicative of communicative context adaptation help us in the process of advertisements translation. Here,we will detail it from the three aspects -the adaptation to the physical world,the mental world and the social world.

  19. Normalizing for individual cell population context in the analysis of high-content cellular screens

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    Knapp Bettina

    2011-12-01

    Full Text Available Abstract Background High-content, high-throughput RNA interference (RNAi offers unprecedented possibilities to elucidate gene function and involvement in biological processes. Microscopy based screening allows phenotypic observations at the level of individual cells. It was recently shown that a cell's population context significantly influences results. However, standard analysis methods for cellular screens do not currently take individual cell data into account unless this is important for the phenotype of interest, i.e. when studying cell morphology. Results We present a method that normalizes and statistically scores microscopy based RNAi screens, exploiting individual cell information of hundreds of cells per knockdown. Each cell's individual population context is employed in normalization. We present results on two infection screens for hepatitis C and dengue virus, both showing considerable effects on observed phenotypes due to population context. In addition, we show on a non-virus screen that these effects can be found also in RNAi data in the absence of any virus. Using our approach to normalize against these effects we achieve improved performance in comparison to an analysis without this normalization and hit scoring strategy. Furthermore, our approach results in the identification of considerably more significantly enriched pathways in hepatitis C virus replication than using a standard analysis approach. Conclusions Using a cell-based analysis and normalization for population context, we achieve improved sensitivity and specificity not only on a individual protein level, but especially also on a pathway level. This leads to the identification of new host dependency factors of the hepatitis C and dengue viruses and higher reproducibility of results.

  20. Human Behavior Analysis by Means of Multimodal Context Mining.

    Science.gov (United States)

    Banos, Oresti; Villalonga, Claudia; Bang, Jaehun; Hur, Taeho; Kang, Donguk; Park, Sangbeom; Huynh-The, Thien; Le-Ba, Vui; Amin, Muhammad Bilal; Razzaq, Muhammad Asif; Khan, Wahajat Ali; Hong, Choong Seon; Lee, Sungyoung

    2016-01-01

    There is sufficient evidence proving the impact that negative lifestyle choices have on people's health and wellness. Changing unhealthy behaviours requires raising people's self-awareness and also providing healthcare experts with a thorough and continuous description of the user's conduct. Several monitoring techniques have been proposed in the past to track users' behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters. This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion. The proposed approach extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner. Namely, low-level contexts, including activities, emotions and locations, are identified from heterogeneous sensory data through machine learning techniques. Low-level contexts are combined using ontological mechanisms to derive a more abstract representation of the user's context, here referred to as high-level context. An initial implementation of the proposed framework supporting real-time context identification is also presented. The developed system is evaluated for various realistic scenarios making use of a novel multimodal context open dataset and data on-the-go, demonstrating prominent context-aware capabilities at both low and high levels.

  1. NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities.

    Science.gov (United States)

    da Rocha, Edroaldo Lummertz; Ung, Choong Yong; McGehee, Cordelia D; Correia, Cristina; Li, Hu

    2016-06-02

    The sequential chain of interactions altering the binary state of a biomolecule represents the 'information flow' within a cellular network that determines phenotypic properties. Given the lack of computational tools to dissect context-dependent networks and gene activities, we developed NetDecoder, a network biology platform that models context-dependent information flows using pairwise phenotypic comparative analyses of protein-protein interactions. Using breast cancer, dyslipidemia and Alzheimer's disease as case studies, we demonstrate NetDecoder dissects subnetworks to identify key players significantly impacting cell behaviour specific to a given disease context. We further show genes residing in disease-specific subnetworks are enriched in disease-related signalling pathways and information flow profiles, which drive the resulting disease phenotypes. We also devise a novel scoring scheme to quantify key genes-network routers, which influence many genes, key targets, which are influenced by many genes, and high impact genes, which experience a significant change in regulation. We show the robustness of our results against parameter changes. Our network biology platform includes freely available source code (http://www.NetDecoder.org) for researchers to explore genome-wide context-dependent information flow profiles and key genes, given a set of genes of particular interest and transcriptome data. More importantly, NetDecoder will enable researchers to uncover context-dependent drug targets.

  2. Histone hyperacetylation within the β-globin locus is context-dependent and precedes high-level gene expression

    Science.gov (United States)

    Fromm, George; de Vries, Christina; Byron, Rachel; Fields, Jennifer; Fiering, Steven; Groudine, Mark; Bender, M. A.; Palis, James

    2009-01-01

    Active gene promoters are associated with covalent histone modifications, such as hyperacetylation, which can modulate chromatin structure and stabilize binding of transcription factors that recognize these modifications. At the β-globin locus and several other loci, however, histone hyperacetylation extends beyond the promoter, over tens of kilobases; we term such patterns of histone modifications “hyperacetylated domains.” Little is known of either the mechanism by which these domains form or their function. Here, we show that domain formation within the murine β-globin locus occurs before either high-level gene expression or erythroid commitment. Analysis of β-globin alleles harboring deletions of promoters or the locus control region demonstrates that these sequences are not required for domain formation, suggesting the existence of additional regulatory sequences within the locus. Deletion of embryonic globin gene promoters, however, resulted in the formation of a hyperacetylated domain over these genes in definitive erythroid cells, where they are otherwise inactive. Finally, sequences within β-globin domains exhibit hyperacetylation in a context-dependent manner, and domains are maintained when transcriptional elongation is inhibited. These data narrow the range of possible mechanisms by which hyperacetylated domains form. PMID:19690338

  3. Histone hyperacetylation within the beta-globin locus is context-dependent and precedes high-level gene expression.

    Science.gov (United States)

    Fromm, George; de Vries, Christina; Byron, Rachel; Fields, Jennifer; Fiering, Steven; Groudine, Mark; Bender, M A; Palis, James; Bulger, Michael

    2009-10-15

    Active gene promoters are associated with covalent histone modifications, such as hyperacetylation, which can modulate chromatin structure and stabilize binding of transcription factors that recognize these modifications. At the beta-globin locus and several other loci, however, histone hyperacetylation extends beyond the promoter, over tens of kilobases; we term such patterns of histone modifications "hyperacetylated domains." Little is known of either the mechanism by which these domains form or their function. Here, we show that domain formation within the murine beta-globin locus occurs before either high-level gene expression or erythroid commitment. Analysis of beta-globin alleles harboring deletions of promoters or the locus control region demonstrates that these sequences are not required for domain formation, suggesting the existence of additional regulatory sequences within the locus. Deletion of embryonic globin gene promoters, however, resulted in the formation of a hyperacetylated domain over these genes in definitive erythroid cells, where they are otherwise inactive. Finally, sequences within beta-globin domains exhibit hyperacetylation in a context-dependent manner, and domains are maintained when transcriptional elongation is inhibited. These data narrow the range of possible mechanisms by which hyperacetylated domains form.

  4. A Culturally Sensitive Analysis of Culture in the Context of Context: When Is Enough Enough?

    Science.gov (United States)

    Kahn, Peter H., Jr.

    Cultural context is not the sole source of human knowledge. Postmodern theory, in both its deconstructionist and affirmative approaches, offers an incomplete basis by which to study race, class, and gender, and undermines ethical interaction. Deconstructionism calls for the abandonment of generalizable research findings, asserting that the concept…

  5. Identification of genes that regulate multiple cellular processes/responses in the context of lipotoxicity to hepatoma cells

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    Yedwabnick Matthew

    2007-10-01

    Full Text Available Abstract Background In order to devise efficient treatments for complex, multi-factorial diseases, it is important to identify the genes which regulate multiple cellular processes. Exposure to elevated levels of free fatty acids (FFAs and tumor necrosis factor alpha (TNF-α alters multiple cellular processes, causing lipotoxicity. Intracellular lipid accumulation has been shown to reduce the lipotoxicity of saturated FFA. We hypothesized that the genes which simultaneously regulate lipid accumulation as well as cytotoxicity may provide better targets to counter lipotoxicity of saturated FFA. Results As a model system to test this hypothesis, human hepatoblastoma cells (HepG2 were exposed to elevated physiological levels of FFAs and TNF-α. Triglyceride (TG accumulation, toxicity and the genomic responses to the treatments were measured. Here, we present a framework to identify such genes in the context of lipotoxicity. The aim of the current study is to identify the genes that could be altered to treat or ameliorate the cellular responses affected by a complex disease rather than to identify the causal genes. Genes that regulate the TG accumulation, cytotoxicity or both were identified by a modified genetic algorithm partial least squares (GA/PLS analysis. The analyses identified NADH dehydrogenase and mitogen activated protein kinases (MAPKs as important regulators of both cytotoxicity and lipid accumulation in response to FFA and TNF-α exposure. In agreement with the predictions, inhibiting NADH dehydrogenase and c-Jun N-terminal kinase (JNK reduced cytotoxicity significantly and increased intracellular TG accumulation. Inhibiting another MAPK pathway, the extracellular signal regulated kinase (ERK, on the other hand, improved the cytotoxicity without changing TG accumulation. Much greater reduction in the toxicity was observed upon inhibiting the NADH dehydrogenase and MAPK (which were identified by the dual-response analysis, than for the

  6. Integrative Genomics with Mediation Analysis in a Survival Context

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    Szilárd Nemes

    2013-01-01

    Full Text Available DNA copy number aberrations (DCNA and subsequent altered gene expression profiles may have a major impact on tumor initiation, on development, and eventually on recurrence and cancer-specific mortality. However, most methods employed in integrative genomic analysis of the two biological levels, DNA and RNA, do not consider survival time. In the present note, we propose the adoption of a survival analysis-based framework for the integrative analysis of DCNA and mRNA levels to reveal their implication on patient clinical outcome with the prerequisite that the effect of DCNA on survival is mediated by mRNA levels. The specific aim of the paper is to offer a feasible framework to test the DCNA-mRNA-survival pathway. We provide statistical inference algorithms for mediation based on asymptotic results. Furthermore, we illustrate the applicability of the method in an integrative genomic analysis setting by using a breast cancer data set consisting of 141 invasive breast tumors. In addition, we provide implementation in R.

  7. Understanding The Decision Context: DPSIR, Decision Landscape, And Social Network Analysis

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    Establishing the decision context for a management problem is the critical first step for effective decision analysis. Understanding the decision context allow stakeholders and decision-makers to integrate the societal, environmental, and economic considerations that must be con...

  8. Strategic planning effectiveness comparative analysis of the Macedonian context

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    Bobek Šuklev

    2012-01-01

    Full Text Available Strategic planning is an important element in the organizational success and the key to effectiveness and overall competitiveness of the organizations. Strategic planning practice and effectiveness has been the subject of much academic debate in the Western context, but little empirical research and comparative analysis exists on this subject in emerging and developing countries. The aim of this study is to investigate the relationship between strategic planning and the organizational effectiveness with the examination of a wider list of strategic planning dimensions and different approaches and measures to assess the strategic planning effectiveness in the case of the Republic of Macedonia, as well as to conduct comparative analysis of the strategic planning effectiveness in different emerging and developing countries. After the initial processing of the total number of received questionnaires, 113 questionnaires proceeded to the next phase of processing, as companies were found to be strategic planners. Two regression models were performed, enclosed with necessary tests, as well as in order to achieve unidimensionality, factor analysis was performed for all stated items for each of the investigated variables. The empirical analysis conducted in Macedonian companies shows that strategic planning can generally contribute to organizational effectiveness. A significant correlation between different strategic planning dimensions and the strategic planning effectiveness was found in the relationship between the formality of strategic planning, the management participation in strategic planning and the employee participation in strategic planning. The comparative analysis conducted in this study with the purpose of comparing the case of Republic of Macedonia with the studies in the other emerging and developing counties, and indicating the probable reasons for potential differences in strategic planning effectiveness in different counties, refers to

  9. The RING finger/B-Box factor TAM-1 and a retinoblastoma-like protein LIN-35 modulate context-dependent gene silencing in Caenorhabditis elegans

    Science.gov (United States)

    Hsieh, Jenny; Liu, Jing; Kostas, Stephen A.; Chang, Chieh; Sternberg, Paul W.; Fire, Andrew

    1999-01-01

    Context-dependent gene silencing is used by many organisms to stably modulate gene activity for large chromosomal regions. We have used tandem array transgenes as a model substrate in a screen for Caenorhabditis elegans mutants that affect context-dependent gene silencing in somatic tissues. This screen yielded multiple alleles of a previously uncharacterized gene, designated tam-1 (for tandem-array-modifier). Loss-of-function mutations in tam-1 led to a dramatic reduction in the activity of numerous highly repeated transgenes. These effects were apparently context dependent, as nonrepetitive transgenes retained activity in a tam-1 mutant background. In addition to the dramatic alterations in transgene activity, tam-1 mutants showed modest alterations in expression of a subset of endogenous cellular genes. These effects include genetic interactions that place tam-1 into a group called the class B synMuv genes (for a Synthetic Multivulva phenotype); this family plays a negative role in the regulation of RAS pathway activity in C. elegans. Loss-of-function mutants in other members of the class-B synMuv family, including lin-35, which encodes a protein similar to the tumor suppressor Rb, exhibit a hypersilencing in somatic transgenes similar to that of tam-1 mutants. Molecular analysis reveals that tam-1 encodes a broadly expressed nuclear protein with RING finger and B-box motifs. PMID:10580003

  10. Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans.

    Directory of Open Access Journals (Sweden)

    Maria D Chikina

    2009-06-01

    Full Text Available Tissue-specific gene expression plays a fundamental role in metazoan biology and is an important aspect of many complex diseases. Nevertheless, an organism-wide map of tissue-specific expression remains elusive due to difficulty in obtaining these data experimentally. Here, we leveraged existing whole-animal Caenorhabditis elegans microarray data representing diverse conditions and developmental stages to generate accurate predictions of tissue-specific gene expression and experimentally validated these predictions. These patterns of tissue-specific expression are more accurate than existing high-throughput experimental studies for nearly all tissues; they also complement existing experiments by addressing tissue-specific expression present at particular developmental stages and in small tissues. We used these predictions to address several experimentally challenging questions, including the identification of tissue-specific transcriptional motifs and the discovery of potential miRNA regulation specific to particular tissues. We also investigate the role of tissue context in gene function through tissue-specific functional interaction networks. To our knowledge, this is the first study producing high-accuracy predictions of tissue-specific expression and interactions for a metazoan organism based on whole-animal data.

  11. Genome-wide Analysis of Gene Regulation

    DEFF Research Database (Denmark)

    Chen, Yun

    cells are capable of regulating their gene expression, so that each cell can only express a particular set of genes yielding limited numbers of proteins with specialized functions. Therefore a rigid control of differential gene expression is necessary for cellular diversity. On the other hand, aberrant...... gene regulation will disrupt the cell’s fundamental processes, which in turn can cause disease. Hence, understanding gene regulation is essential for deciphering the code of life. Along with the development of high throughput sequencing (HTS) technology and the subsequent large-scale data analysis......, genome-wide assays have increased our understanding of gene regulation significantly. This thesis describes the integration and analysis of HTS data across different important aspects of gene regulation. Gene expression can be regulated at different stages when the genetic information is passed from gene...

  12. Identifying context-specific gene profiles of social, reproductive, and mate preference behavior in a fish species with female mate choice.

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    Ramsey, Mary E; Maginnis, Tara L; Wong, Ryan Y; Brock, Chad; Cummings, Molly E

    2012-01-01

    Sensory and social inputs interact with underlying gene suites to coordinate social behavior. Here we use a naturally complex system in sexual selection studies, the swordtail, to explore how genes associated with mate preference, receptivity, and social affiliation interact in the female brain under specific social conditions. We focused on 11 genes associated with mate preference in this species (neuroserpin, neuroligin-3, NMDA receptor, tPA, stathmin-2, β-1 adrenergic receptor) or with female sociosexual behaviors in other taxa (vasotocin, isotocin, brain aromatase, α-1 adrenergic receptor, tyrosine hydroxylase). We exposed females to four social conditions, including pairings of differing mate choice complexity (large males, large/small males, small males), and a social control (two females). Female mate preference differed significantly by context. Multiple discriminant analysis (MDA) of behaviors revealed a primary axis (explaining 50.2% between-group variance) highlighting differences between groups eliciting high preference behaviors (LL, LS) vs. other contexts, and a secondary axis capturing general measures distinguishing a non-favored group (SS) from other groups. Gene expression MDA revealed a major axis (68.4% between-group variance) that distinguished amongst differential male pairings and was driven by suites of "preference and receptivity genes"; whereas a second axis, distinguishing high affiliation groups (large males, females) from low (small males), was characterized by traditional affiliative-associated genes (isotocin, vasotocin). We found context-specific correlations between behavior and gene MDA, suggesting gene suites covary with behaviors in a socially relevant context. Distinct associations between "affiliative" and "preference" axes suggest mate preference may be mediated by distinct clusters from those of social affiliation. Our results highlight the need to incorporate natural complexity of mating systems into behavioral genomics.

  13. Visual analysis of transcriptome data in the context of anatomical structures and biological networks

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    Astrid eJunker

    2012-11-01

    Full Text Available The complexity and temporal as well as spatial resolution of transcriptome datasets is constantly increasing due to extensive technological developments. Here we present methods for advanced visualization and intuitive exploration of transcriptomics data as necessary prerequisites in order to facilitate the gain of biological knowledge. Color-coding of structural images based on the expression level enables a fast visual data analysis in the background of the examined biological system. The network-based exploration of these visualizations allows for comparative analysis of genes with specific transcript patterns and supports the extraction of functional relationships even from large datasets. In order to illustrate the presented methods, the tool HIVE was applied for visualization and exploration of database-retrieved expression data for master regulators of Arabidopsis thaliana flower and seed development in the context of corresponding tissue-specific regulatory networks.

  14. Identifying context-specific gene profiles of social, reproductive and mate preference behavior in a fish species with female mate choice

    Directory of Open Access Journals (Sweden)

    Mary E Ramsey

    2012-05-01

    Full Text Available Sensory and social inputs interact with underlying gene suites to coordinate social behavior. Here we use a naturally complex system in sexual selection studies, the swordtail, to explore how genes associated with mate preference, receptivity, and social affiliation interact in the female brain under specific social conditions. We focused on 11 genes associated with mate preference in this species (neuroserpin, neuroligin-3, NMDA-receptor, tPA, stathmin-2,β-1 adrenergic receptor or with female sociosexual behaviors in other taxa (vasotocin, isotocin, brain aromatase, α-1 adrenergic receptor, tyrosine hydroxylase. We exposed females to four social conditions, including pairings of differing mate choice complexity (large males, large/small males, small males, and a social control (two females. Female mate preference differed significantly by context. Multiple discriminant analysis (MDA of behaviors revealed a primary axis (explaining 50.2% between-group variance highlighting differences between groups eliciting high preference behaviors (LL, LS versus other contexts, and a secondary axis capturing general measures distinguishing a non-favored group (SS from other groups. Gene expression MDA revealed a major axis (68.4% between-group variance that distinguished amongst differential male pairings and was driven by suites of ‘preference and receptivity genes’; whereas a second axis, distinguishing high affiliation groups (large males, females from low (small males, was characterized by traditional affiliative-associated genes (isotocin, vasotocin. We found context-specific correlations between behavior and gene MDA, suggesting gene suites covary with behaviors in a socially relevant context. Distinct associations between ‘affiliative’ and ‘preference’ axes suggest mate preference may be mediated by distinct clusters from those of social affiliation. Our results highlight the need to incorporate natural complexity of mating systems into

  15. Intrapreneurship in the Spanish context : a regional analysis

    NARCIS (Netherlands)

    Turro Sol, A.; Alvarez, Claudia; Urbano, David

    2016-01-01

    The objective of this article is to examine the influence of internal and external (environmental) factors on intrapreneurship in the Spanish context, considering differences among regions. Methodologically, the study applies logistic regression and uses data from the Spanish Global Entrepreneurship

  16. Gene set analysis using variance component tests

    Science.gov (United States)

    2013-01-01

    Background Gene set analyses have become increasingly important in genomic research, as many complex diseases are contributed jointly by alterations of numerous genes. Genes often coordinate together as a functional repertoire, e.g., a biological pathway/network and are highly correlated. However, most of the existing gene set analysis methods do not fully account for the correlation among the genes. Here we propose to tackle this important feature of a gene set to improve statistical power in gene set analyses. Results We propose to model the effects of an independent variable, e.g., exposure/biological status (yes/no), on multiple gene expression values in a gene set using a multivariate linear regression model, where the correlation among the genes is explicitly modeled using a working covariance matrix. We develop TEGS (Test for the Effect of a Gene Set), a variance component test for the gene set effects by assuming a common distribution for regression coefficients in multivariate linear regression models, and calculate the p-values using permutation and a scaled chi-square approximation. We show using simulations that type I error is protected under different choices of working covariance matrices and power is improved as the working covariance approaches the true covariance. The global test is a special case of TEGS when correlation among genes in a gene set is ignored. Using both simulation data and a published diabetes dataset, we show that our test outperforms the commonly used approaches, the global test and gene set enrichment analysis (GSEA). Conclusion We develop a gene set analyses method (TEGS) under the multivariate regression framework, which directly models the interdependence of the expression values in a gene set using a working covariance. TEGS outperforms two widely used methods, GSEA and global test in both simulation and a diabetes microarray data. PMID:23806107

  17. Comparative genomic analysis of soybean flowering genes.

    Directory of Open Access Journals (Sweden)

    Chol-Hee Jung

    Full Text Available Flowering is an important agronomic trait that determines crop yield. Soybean is a major oilseed legume crop used for human and animal feed. Legumes have unique vegetative and floral complexities. Our understanding of the molecular basis of flower initiation and development in legumes is limited. Here, we address this by using a computational approach to examine flowering regulatory genes in the soybean genome in comparison to the most studied model plant, Arabidopsis. For this comparison, a genome-wide analysis of orthologue groups was performed, followed by an in silico gene expression analysis of the identified soybean flowering genes. Phylogenetic analyses of the gene families highlighted the evolutionary relationships among these candidates. Our study identified key flowering genes in soybean and indicates that the vernalisation and the ambient-temperature pathways seem to be the most variant in soybean. A comparison of the orthologue groups containing flowering genes indicated that, on average, each Arabidopsis flowering gene has 2-3 orthologous copies in soybean. Our analysis highlighted that the CDF3, VRN1, SVP, AP3 and PIF3 genes are paralogue-rich genes in soybean. Furthermore, the genome mapping of the soybean flowering genes showed that these genes are scattered randomly across the genome. A paralogue comparison indicated that the soybean genes comprising the largest orthologue group are clustered in a 1.4 Mb region on chromosome 16 of soybean. Furthermore, a comparison with the undomesticated soybean (Glycine soja revealed that there are hundreds of SNPs that are associated with putative soybean flowering genes and that there are structural variants that may affect the genes of the light-signalling and ambient-temperature pathways in soybean. Our study provides a framework for the soybean flowering pathway and insights into the relationship and evolution of flowering genes between a short-day soybean and the long-day plant

  18. Understanding gene sequence variation in the context of transcription regulation in yeast.

    Directory of Open Access Journals (Sweden)

    Irit Gat-Viks

    2010-01-01

    Full Text Available DNA sequence polymorphism in a regulatory protein can have a widespread transcriptional effect. Here we present a computational approach for analyzing modules of genes with a common regulation that are affected by specific DNA polymorphisms. We identify such regulatory-linkage modules by integrating genotypic and expression data for individuals in a segregating population with complementary expression data of strains mutated in a variety of regulatory proteins. Our procedure searches simultaneously for groups of co-expressed genes, for their common underlying linkage interval, and for their shared regulatory proteins. We applied the method to a cross between laboratory and wild strains of S. cerevisiae, demonstrating its ability to correctly suggest modules and to outperform extant approaches. Our results suggest that middle sporulation genes are under the control of polymorphism in the sporulation-specific tertiary complex Sum1p/Rfm1p/Hst1p. In another example, our analysis reveals novel inter-relations between Swi3 and two mitochondrial inner membrane proteins underlying variation in a module of aerobic cellular respiration genes. Overall, our findings demonstrate that this approach provides a useful framework for the systematic mapping of quantitative trait loci and their role in gene expression variation.

  19. Teaching technical writing in multilingual contexts: a meta-analysis

    NARCIS (Netherlands)

    Winberg, Christine; Geest, van der Thea; Lehman, Barbara; Nduna, Joyce

    2010-01-01

    Teachers of technical and professional writing in Science, Engineering and Technology (SET) Programmes need to understand the particular needs and social contexts of students for whom English is not a first language. The focus of this paper is on technical writing, and the paper presents the finding

  20. Teaching technical writing in multilingual contexts: a meta-analysis

    NARCIS (Netherlands)

    Winberg, Christine; van der Geest, Thea; Lehman, Barbara; Nduna, Joyce

    2010-01-01

    Teachers of technical and professional writing in Science, Engineering and Technology (SET) Programmes need to understand the particular needs and social contexts of students for whom English is not a first language. The focus of this paper is on technical writing, and the paper presents the finding

  1. Characterisation of the Context-Dependence of the Gene Concept in Research Articles. Possible Consequences for Teaching Concepts with Multiple Meanings

    Science.gov (United States)

    Flodin, Veronica S.

    2017-03-01

    The purpose of this study is to interpret and qualitatively characterise the content in some research articles and evaluate cases of possible difference in meanings of the gene concept used. Using a reformulation of Hirst's criteria of forms of knowledge, articles from five different sub-disciplines in biology (transmission genetic, molecular biology, genomics, developmental biology and population genetics) were characterised according to knowledge project, methods used and conceptual contexts. Depending on knowledge project, the gene may be used as a location of recombination, a target of regulatory proteins, a carrier of regulatory sequences, a cause in organ formation or a basis for a genetic map. Methods used range from catching wild birds and dissecting beetle larvae to growing yeast cells in 94 small wells as well as mapping of recombinants, doing statistical calculations, immunoblotting analysis of protein levels, analysis of gene expression with PCR, immunostaining of embryos and automated constructions of multi-locus linkage maps. The succeeding conceptual contexts focused around concepts as meiosis and chromosome, DNA and regulation, cell fitness and production, development and organ formation, conservation and evolution. These contextual differences lead to certain content leaps in relation to different conceptual schemes. The analysis of the various uses of the gene concept shows how differences in methodologies and questions entail a concept that escapes single definitions and "drift around" in meanings. These findings make it important to ask how science might use concepts as tools of specific inquiries and to discuss possible consequences for biology education.

  2. Application of multidisciplinary analysis to gene expression.

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Xuefel (University of New Mexico, Albuquerque, NM); Kang, Huining (University of New Mexico, Albuquerque, NM); Fields, Chris (New Mexico State University, Las Cruces, NM); Cowie, Jim R. (New Mexico State University, Las Cruces, NM); Davidson, George S.; Haaland, David Michael; Sibirtsev, Valeriy (New Mexico State University, Las Cruces, NM); Mosquera-Caro, Monica P. (University of New Mexico, Albuquerque, NM); Xu, Yuexian (University of New Mexico, Albuquerque, NM); Martin, Shawn Bryan; Helman, Paul (University of New Mexico, Albuquerque, NM); Andries, Erik (University of New Mexico, Albuquerque, NM); Ar, Kerem (University of New Mexico, Albuquerque, NM); Potter, Jeffrey (University of New Mexico, Albuquerque, NM); Willman, Cheryl L. (University of New Mexico, Albuquerque, NM); Murphy, Maurice H. (University of New Mexico, Albuquerque, NM)

    2004-01-01

    Molecular analysis of cancer, at the genomic level, could lead to individualized patient diagnostics and treatments. The developments to follow will signal a significant paradigm shift in the clinical management of human cancer. Despite our initial hopes, however, it seems that simple analysis of microarray data cannot elucidate clinically significant gene functions and mechanisms. Extracting biological information from microarray data requires a complicated path involving multidisciplinary teams of biomedical researchers, computer scientists, mathematicians, statisticians, and computational linguists. The integration of the diverse outputs of each team is the limiting factor in the progress to discover candidate genes and pathways associated with the molecular biology of cancer. Specifically, one must deal with sets of significant genes identified by each method and extract whatever useful information may be found by comparing these different gene lists. Here we present our experience with such comparisons, and share methods developed in the analysis of an infant leukemia cohort studied on Affymetrix HG-U95A arrays. In particular, spatial gene clustering, hyper-dimensional projections, and computational linguistics were used to compare different gene lists. In spatial gene clustering, different gene lists are grouped together and visualized on a three-dimensional expression map, where genes with similar expressions are co-located. In another approach, projections from gene expression space onto a sphere clarify how groups of genes can jointly have more predictive power than groups of individually selected genes. Finally, online literature is automatically rearranged to present information about genes common to multiple groups, or to contrast the differences between the lists. The combination of these methods has improved our understanding of infant leukemia. While the complicated reality of the biology dashed our initial, optimistic hopes for simple answers from

  3. Bicluster pattern of codon context usages between flavivirus and vector mosquito Aedes aegypti: relevance to infection and transcriptional response of mosquito genes.

    Science.gov (United States)

    Behura, Susanta K; Severson, David W

    2014-10-01

    The mosquito Aedes aegypti is the primary vector of dengue virus (DENV) infection in most of the subtropical and tropical countries. Besides DENV, yellow fever virus (YFV) is also transmitted by A. aegypti. Susceptibility of A. aegypti to West Nile virus (WNV) has also been confirmed. Although studies have indicated correlation of codon bias between flaviviridae and their animal/insect hosts, it is not clear if codon sequences have any relation to susceptibility of A. aegypti to DENV, YFV and WNV. In the current study, usages of codon context sequences (codon pairs for neighboring amino acids) of the vector (A. aegypti) genome as well as the flaviviral genomes are investigated. We used bioinformatics methods to quantify codon context bias in a genome-wide manner of A. aegypti as well as DENV, WNV and YFV sequences. Mutual information statistics was applied to perform bicluster analysis of codon context bias between vector and flaviviral sequences. Functional relevance of the bicluster pattern was inferred from published microarray data. Our study shows that codon context bias of DENV, WNV and YFV sequences varies in a bicluster manner with that of specific sets of genes of A. aegypti. Many of these mosquito genes are known to be differentially expressed in response to flaviviral infection suggesting that codon context sequences of A. aegypti and the flaviviruses may play a role in the susceptible interaction between flaviviruses and this mosquito. The bias in usages of codon context sequences likely has a functional association with susceptibility of A. aegypti to flaviviral infection. The results from this study will allow us to conduct hypothesis-driven tests to examine the role of codon context bias in evolution of vector-virus interactions at the molecular level.

  4. An Analysis of Context of Situation in Public Speaking

    Institute of Scientific and Technical Information of China (English)

    杨帆

    2013-01-01

      The research mainly discuss that public speeches should be made and delivered in accordance of speaking situation. By investigating different sample public speeches, it can be found that proper use of“context of situation”plays an important role in making public speeches appropriate both in linguistic scope and in social scope. The research also gives some suggestions on writ⁃ing of public speeches.

  5. Gene family level comparative analysis of gene expression in mammals validates the ortholog conjecture.

    Science.gov (United States)

    Rogozin, Igor B; Managadze, David; Shabalina, Svetlana A; Koonin, Eugene V

    2014-04-01

    The ortholog conjecture (OC), which is central to functional annotation of genomes, posits that orthologous genes are functionally more similar than paralogous genes at the same level of sequence divergence. However, a recent study challenged the OC by reporting a greater functional similarity, in terms of Gene Ontology (GO) annotations and expression profiles, among within-species paralogs compared with orthologs. These findings were taken to indicate that functional similarity of homologous genes is primarily determined by the cellular context of the genes, rather than evolutionary history. However, several subsequent studies suggest that GO annotations and microarray data could artificially inflate functional similarity between paralogs from the same organism. We sought to test the OC using approaches distinct from those used in previous studies. Analysis of a large RNAseq data set from multiple human and mouse tissues shows that expression similarity (correlations coefficients, rank's, or Z-scores) between orthologs is substantially greater than that for between-species paralogs with the same sequence divergence, in agreement with the OC and the results of recent detailed analyses. These findings are further corroborated by a fine-grain analysis in which expression profiles of orthologs and paralogs were compared separately for individual gene families. Expression profiles of within-species paralogs are more strongly correlated than profiles of orthologs but it is shown that this is caused by high background noise, that is, correlation between profiles of unrelated genes in the same organism. Z-scores and rank scores show a nonmonotonic dependence of expression profile similarity on sequence divergence. This complexity of gene expression evolution after duplication might be at least partially caused by selection for protein dosage rebalancing following gene duplication.

  6. Gene flow in Prunus species in the context of novel trait risk assessment.

    Science.gov (United States)

    Cici, S Zahra H; Van Acker, Rene C

    2010-01-01

    Prunus species are important commercial fruit (plums, apricot, peach and cherries), nut (almond) and ornamental trees cultivated broadly worldwide. This review compiles information from available literature on Prunus species in regard to gene flow and hybridization within this complex of species. The review serves as a resource for environmental risk assessment related to pollen mediated gene flow and the release of transgenic Prunus. It reveals that Prunus species, especially plums and cherries show high potential for transgene flow. A range of characteristics including; genetic diversity, genetic bridging capacity, inter- and intra-specific genetic compatibility, self sterility (in most species), high frequency of open pollination, insect assisted pollination, perennial nature, complex phenotypic architecture (canopy height, heterogeneous crown, number of flowers produced in an individual plant), tendency to escape from cultivation, and the existence of ornamental and road side Prunus species suggest that there is a tremendous and complicated ability for pollen mediated gene movement among Prunus species. Ploidy differences among Prunus species do not necessarily provide genetic segregation. The characteristics of Prunu s species highlight the complexity of maintaining coexistence between GM and non-GM Prunus if there were commercial production of GM Prunus species. The results of this review suggest that the commercialization of one GM Prunus species can create coexistence issues for commercial non-GM Prunus production. Despite advances in molecular markers and genetic analysis in agroecology, there remains limited information on the ecological diversity, metapopulation nature, population dynamics, and direct measures of gene flow among different subgenera represented in the Prunus genus. Robust environmental impact, biosafety and coexistence assessments for GM Prunus species will require better understanding of the mechanisms of gene flow and hybridization

  7. Filtering Genes for Cluster and Network Analysis

    Directory of Open Access Journals (Sweden)

    Parkhomenko Elena

    2009-06-01

    Full Text Available Abstract Background Prior to cluster analysis or genetic network analysis it is customary to filter, or remove genes considered to be irrelevant from the set of genes to be analyzed. Often genes whose variation across samples is less than an arbitrary threshold value are deleted. This can improve interpretability and reduce bias. Results This paper introduces modular models for representing network structure in order to study the relative effects of different filtering methods. We show that cluster analysis and principal components are strongly affected by filtering. Filtering methods intended specifically for cluster and network analysis are introduced and compared by simulating modular networks with known statistical properties. To study more realistic situations, we analyze simulated "real" data based on well-characterized E. coli and S. cerevisiae regulatory networks. Conclusion The methods introduced apply very generally, to any similarity matrix describing gene expression. One of the proposed methods, SUMCOV, performed well for all models simulated.

  8. Expression of human AID in yeast induces mutations in context similar to the context of somatic hypermutation at G-C pairs in immunoglobulin genes

    Directory of Open Access Journals (Sweden)

    Kunkel Thomas A

    2005-06-01

    Full Text Available Abstract Background Antibody genes are diversified by somatic hypermutation (SHM, gene conversion and class-switch recombination. All three processes are initiated by the activation-induced deaminase (AID. According to a DNA deamination model of SHM, AID converts cytosine to uracil in DNA sequences. The initial deamination of cytosine leads to mutation and recombination in pathways involving replication, DNA mismatch repair and possibly base excision repair. The DNA sequence context of mutation hotspots at G-C pairs during SHM is DGYW/WRCH (G-C is a hotspot position, R = A/G, Y = T/C, W = A/T, D = A/G/T. Results To investigate the mechanisms of AID-induced mutagenesis in a model system, we studied the genetic consequences of AID expression in yeast. We constructed a yeast vector with an artificially synthesized human AID gene insert using codons common to highly expressed yeast genes. We found that expression of the artificial hAIDSc gene was moderately mutagenic in a wild-type strain and highly mutagenic in an ung1 uracil-DNA glycosylase-deficient strain. A majority of mutations were at G-C pairs. In the ung1 strain, C-G to T-A transitions were found almost exclusively, while a mixture of transitions with 12% transversions was characteristic in the wild-type strain. In the ung1 strain mutations that could have originated from deamination of the transcribed stand were found more frequently. In the wild-type strain, the strand bias was reversed. DGYW/WRCH motifs were preferential sites of mutations. Conclusion The results are consistent with the hypothesis that AID-mediated deamination of DNA is a major cause of mutations at G-C base pairs in immunoglobulin genes during SHM. The sequence contexts of mutations in yeast induced by AID and those of somatic mutations at G-C pairs in immunoglobulin genes are significantly similar. This indicates that the intrinsic substrate specificity of AID itself is a primary determinant of mutational hotspots at G

  9. Using GenePattern for Gene Expression Analysis

    Science.gov (United States)

    Kuehn, Heidi; Liberzon, Arthur; Reich, Michael; Mesirov, Jill P.

    2013-01-01

    The abundance of genomic data now available in biomedical research has stimulated the development of sophisticated statistical methods for interpreting the data, and of special visualization tools for displaying the results in a concise and meaningful manner. However, biologists often find these methods and tools difficult to understand and use correctly. GenePattern is a freely available software package that addresses this issue by providing more than 100 analysis and visualization tools for genomic research in a comprehensive user-friendly environment for users at all levels of computational experience and sophistication. This unit demonstrates how to prepare and analyze microarray data in GenePattern. PMID:18551415

  10. Network Analysis of Human Genes Influencing Susceptibility to Mycobacterial Infections.

    Directory of Open Access Journals (Sweden)

    Ettie M Lipner

    Full Text Available Tuberculosis and nontuberculous mycobacterial infections constitute a high burden of pulmonary disease in humans, resulting in over 1.5 million deaths per year. Building on the premise that genetic factors influence the instance, progression, and defense of infectious disease, we undertook a systems biology approach to investigate relationships among genetic factors that may play a role in increased susceptibility or control of mycobacterial infections. We combined literature and database mining with network analysis and pathway enrichment analysis to examine genes, pathways, and networks, involved in the human response to Mycobacterium tuberculosis and nontuberculous mycobacterial infections. This approach allowed us to examine functional relationships among reported genes, and to identify novel genes and enriched pathways that may play a role in mycobacterial susceptibility or control. Our findings suggest that the primary pathways and genes influencing mycobacterial infection control involve an interplay between innate and adaptive immune proteins and pathways. Signaling pathways involved in autoimmune disease were significantly enriched as revealed in our networks. Mycobacterial disease susceptibility networks were also examined within the context of gene-chemical relationships, in order to identify putative drugs and nutrients with potential beneficial immunomodulatory or anti-mycobacterial effects.

  11. Context and Identity Formation: A Theoretical Analysis and a Case Study

    Science.gov (United States)

    Schachter, Elli P.

    2005-01-01

    This article examines the possible implications of reintegrating the concept of context into identity theory. Through the analysis of a case study of one individual attempting to form an identity within the larger juxtaposed sociocultural contexts of premodernity, modernity, and postmodernity, the article demonstrates how diversity of…

  12. Clinical gait analysis in a rehabilitation context : some controversial issues

    NARCIS (Netherlands)

    Mulder, T; Nienhuis, B; Pauwels, J

    1998-01-01

    Objective: To determine the focus of clinical gait analysis in order to explain the observed mismatch between the available technology for movement analysis and the aims of clinical rehabilitation medicine. Design: Literature search using two different interactive computerized search systems. Outcom

  13. Mutation Analysis of the LH Receptor Gene in Leydig Cell Adenoma and Hyperplasia and Functional and Biochemical Studies of Activating Mutations of the LH Receptor Gene

    NARCIS (Netherlands)

    Boot, Annemieke M.; Lumbroso, Serge; Verhoef-Post, Miriam; Richter-Unruh, Annette; Looijenga, Leendert H. J.; Funaro, Ada; Beishuizen, Auke; van Marle, Andre; Drop, Stenvert L. S.; Themmen, Axel P. N.

    2011-01-01

    Context: Germline and somatic activating mutations in the LH receptor (LHR) gene have been reported. Objective: Our objective was to perform mutation analysis of the LHR gene of patients with Leydig cell adenoma or hyperplasia. Functional studies were conducted to compare the D578H-LHR mutant with t

  14. A Comparative Analysis of Fuzzy Inference Engines in Context of ...

    African Journals Online (AJOL)

    PROF. O. E. OSUAGWU

    automatic control, data classification, decision analysis, expert engines, time series prediction, robotics ... inference engines, max-product, max-min and root sum in fuzzy controllers using profitability ...... Hall, Upper Saddle River, NJ, 1991. [4].

  15. Security Governance – An Empirical Analysis of the Norwegian Context

    Directory of Open Access Journals (Sweden)

    Martin Nøkleberg

    2016-05-01

    Full Text Available This article explores the local security governance in the city of Bergen, and it thus highlights what characterizes security governance within a Norwegian context. The burgeoning policing literature suggests that we live in a pluralized and networked society – ideas of cooperation have thus been perceived as important features for the effectiveness in security governance. Cooperative relations between public and private actors are the main focus of this article and such arrangements are empirically explored in the city of Bergen. These relations are explored on the basis of the theoretical framework state anchored pluralism and nodal governance. The key finding is that there seems to be an unfulfilled potential in the security governance in Bergen. The public police have difficulties with cooperating with and exploiting the potential possessed by the private security industry. It is suggested that these difficulties are related to a mentality problem within the police institution, derived from nodal governance, that is, the police are influenced by a punishment mentality and view themselves as the only possible actor which can and should maintain the security.

  16. Risk analysis of colorectal cancer incidence by gene expression analysis

    Science.gov (United States)

    Shangkuan, Wei-Chuan; Lin, Hung-Che; Chang, Yu-Tien; Jian, Chen-En; Fan, Hueng-Chuen; Chen, Kang-Hua; Liu, Ya-Fang; Hsu, Huan-Ming; Chou, Hsiu-Ling; Yao, Chung-Tay

    2017-01-01

    Background Colorectal cancer (CRC) is one of the leading cancers worldwide. Several studies have performed microarray data analyses for cancer classification and prognostic analyses. Microarray assays also enable the identification of gene signatures for molecular characterization and treatment prediction. Objective Microarray gene expression data from the online Gene Expression Omnibus (GEO) database were used to to distinguish colorectal cancer from normal colon tissue samples. Methods We collected microarray data from the GEO database to establish colorectal cancer microarray gene expression datasets for a combined analysis. Using the Prediction Analysis for Microarrays (PAM) method and the GSEA MSigDB resource, we analyzed the 14,698 genes that were identified through an examination of their expression values between normal and tumor tissues. Results Ten genes (ABCG2, AQP8, SPIB, CA7, CLDN8, SCNN1B, SLC30A10, CD177, PADI2, and TGFBI) were found to be good indicators of the candidate genes that correlate with CRC. From these selected genes, an average of six significant genes were obtained using the PAM method, with an accuracy rate of 95%. The results demonstrate the potential of utilizing a model with the PAM method for data mining. After a detailed review of the published reports, the results confirmed that the screened candidate genes are good indicators for cancer risk analysis using the PAM method. Conclusions Six genes were selected with 95% accuracy to effectively classify normal and colorectal cancer tissues. We hope that these results will provide the basis for new research projects in clinical practice that aim to rapidly assess colorectal cancer risk using microarray gene expression analysis. PMID:28229027

  17. Listening as an Easy Skill: Analysis of a Particular Context

    OpenAIRE

    Marcela Morchino

    2009-01-01

    In this paper I want to focus on the difficulty perceived by seventh grade students in connection to listening activities in the English class, at some public schools in San Juan, Argentina. This analysis will lead to the examination of contextual factors that might act as unforeseen constraints on the language learning situation.

  18. Listening as an Easy Skill: Analysis of a Particular Context

    Directory of Open Access Journals (Sweden)

    Marcela Morchino

    2009-06-01

    Full Text Available In this paper I want to focus on the difficulty perceived by seventh grade students in connection to listening activities in the English class, at some public schools in San Juan, Argentina. This analysis will lead to the examination of contextual factors that might act as unforeseen constraints on the language learning situation.

  19. Efficient Context Switching for the Stack Cache: Implementation and Analysis

    DEFF Research Database (Denmark)

    Abbaspourseyedi, Sahar; Brandner, Florian; Naji, Amine

    2015-01-01

    The design of tailored hardware has proven a successful strategy to reduce the timing analysis overhead for (hard) real-time systems. The stack cache is an example of such a design that has been proven to provide good average-case performance, while being easy to analyze. So far, however, the ana...

  20. Content Recognition and Context Modeling for Document Analysis and Retrieval

    Science.gov (United States)

    Zhu, Guangyu

    2009-01-01

    The nature and scope of available documents are changing significantly in many areas of document analysis and retrieval as complex, heterogeneous collections become accessible to virtually everyone via the web. The increasing level of diversity presents a great challenge for document image content categorization, indexing, and retrieval.…

  1. Gene set analysis for interpreting genetic studies

    DEFF Research Database (Denmark)

    Pers, Tune H

    2016-01-01

    Interpretation of genome-wide association study (GWAS) results is lacking behind the discovery of new genetic associations. Consequently, there is an urgent need for data-driven methods for interpreting genetic association studies. Gene set analysis (GSA) can identify aetiologic pathways and func......Interpretation of genome-wide association study (GWAS) results is lacking behind the discovery of new genetic associations. Consequently, there is an urgent need for data-driven methods for interpreting genetic association studies. Gene set analysis (GSA) can identify aetiologic pathways...

  2. Genetic selection for context-dependent stochastic phenotypes: Sp1 and TATA mutations increase phenotypic noise in HIV-1 gene expression.

    Directory of Open Access Journals (Sweden)

    Kathryn Miller-Jensen

    Full Text Available The sequence of a promoter within a genome does not uniquely determine gene expression levels and their variability; rather, promoter sequence can additionally interact with its location in the genome, or genomic context, to shape eukaryotic gene expression. Retroviruses, such as human immunodeficiency virus-1 (HIV, integrate their genomes into those of their host and thereby provide a biomedically-relevant model system to quantitatively explore the relationship between promoter sequence, genomic context, and noise-driven variability on viral gene expression. Using an in vitro model of the HIV Tat-mediated positive-feedback loop, we previously demonstrated that fluctuations in viral Tat-transactivating protein levels generate integration-site-dependent, stochastically-driven phenotypes, in which infected cells randomly 'switch' between high and low expressing states in a manner that may be related to viral latency. Here we extended this model and designed a forward genetic screen to systematically identify genetic elements in the HIV LTR promoter that modulate the fraction of genomic integrations that specify 'Switching' phenotypes. Our screen identified mutations in core promoter regions, including Sp1 and TATA transcription factor binding sites, which increased the Switching fraction several fold. By integrating single-cell experiments with computational modeling, we further investigated the mechanism of Switching-fraction enhancement for a selected Sp1 mutation. Our experimental observations demonstrated that the Sp1 mutation both impaired Tat-transactivated expression and also altered basal expression in the absence of Tat. Computational analysis demonstrated that the observed change in basal expression could contribute significantly to the observed increase in viral integrations that specify a Switching phenotype, provided that the selected mutation affected Tat-mediated noise amplification differentially across genomic contexts. Our study

  3. Multidimensional gene set analysis of genomic data.

    Directory of Open Access Journals (Sweden)

    David Montaner

    Full Text Available Understanding the functional implications of changes in gene expression, mutations, etc., is the aim of most genomic experiments. To achieve this, several functional profiling methods have been proposed. Such methods study the behaviour of different gene modules (e.g. gene ontology terms in response to one particular variable (e.g. differential gene expression. In spite to the wealth of information provided by functional profiling methods, a common limitation to all of them is their inherent unidimensional nature. In order to overcome this restriction we present a multidimensional logistic model that allows studying the relationship of gene modules with different genome-scale measurements (e.g. differential expression, genotyping association, methylation, copy number alterations, heterozygosity, etc. simultaneously. Moreover, the relationship of such functional modules with the interactions among the variables can also be studied, which produces novel results impossible to be derived from the conventional unidimensional functional profiling methods. We report sound results of gene sets associations that remained undetected by the conventional one-dimensional gene set analysis in several examples. Our findings demonstrate the potential of the proposed approach for the discovery of new cell functionalities with complex dependences on more than one variable.

  4. Function analysis of unknown genes

    DEFF Research Database (Denmark)

    Rogowska-Wrzesinska, A.

    2002-01-01

    leading to decreased growth rate, decreased glucose metabolism, decreased amino acid and protein synthesis and increased protein degradation. Some of these responses define a new type of stress that results from changes in the internal cell environment by overexpression of a membrane protein. Chapter 5...... that have been post-translationally modified by N- or C-terminal truncation and we show that this protein processing is not random and shows a specific pattern for a given yeast strain. Chapter 7 illustrates the construction of yeast proteome database and its potential application in characterising yeast...... analysis is a powerful tool to study yeast proteome and the complex proteome database gives a broad view on the molecular cell biology of yeast. The global database approach allows combining proteome data from different mutants and experiment conditions (e.g. heat stress, phosphate labelling, N...

  5. Social context-induced song variation affects female behavior and gene expression.

    Directory of Open Access Journals (Sweden)

    Sarah C Woolley

    2008-03-01

    Full Text Available Social cues modulate the performance of communicative behaviors in a range of species, including humans, and such changes can make the communication signal more salient. In songbirds, males use song to attract females, and song organization can differ depending on the audience to which a male sings. For example, male zebra finches (Taeniopygia guttata change their songs in subtle ways when singing to a female (directed song compared with when they sing in isolation (undirected song, and some of these changes depend on altered neural activity from a specialized forebrain-basal ganglia circuit, the anterior forebrain pathway (AFP. In particular, variable activity in the AFP during undirected song is thought to actively enable syllable variability, whereas the lower and less-variable AFP firing during directed singing is associated with more stereotyped song. Consequently, directed song has been suggested to reflect a "performance" state, and undirected song a form of vocal motor "exploration." However, this hypothesis predicts that directed-undirected song differences, despite their subtlety, should matter to female zebra finches, which is a question that has not been investigated. We tested female preferences for this natural variation in song in a behavioral approach assay, and we found that both mated and socially naive females could discriminate between directed and undirected song-and strongly preferred directed song. These preferences, which appeared to reflect attention especially to aspects of song variability controlled by the AFP, were enhanced by experience, as they were strongest for mated females responding to their mate's directed songs. We then measured neural activity using expression of the immediate early gene product ZENK, and found that social context and song familiarity differentially modulated the number of ZENK-expressing cells in telencephalic auditory areas. Specifically, the number of ZENK-expressing cells in the

  6. AN ANALYSIS OF CURRICULUM RENEWAL IN EAP CONTEXT

    Directory of Open Access Journals (Sweden)

    Aynur Yürekli

    2012-01-01

    Full Text Available This study aims at describing the new approach to English for Academic Purposes (EAP teaching based on the results of the curriculum renewal conducted for the freshman “Academic Skills in English” courses (ENG 101 and ENG 102 with reference to the Faculty of Computer Sciences. The study is based on the results of the needs analysis carried out with 1005 Freshman students, 17 Freshman EAP course instructors, and 35 departmental teachers. Taking the results of the needs analysis as the starting point, semi-structured interviews were conducted with department teachers to elicit their expectations from freshman students in terms of English language skills and academic skills. The sum of the gathered data formed the basis for the curriculum renewal, the target objectives and the approach for their achievement in the classroom. The findings of the study refer to a need for an integrated approach to EAP teaching which centers around the achievements of certain tasks expected by students’ department teachers. The findings also highlight the need for an approach which is content-based and specific to students’ study areas.

  7. Genome-wide Analysis of Gene Regulation

    DEFF Research Database (Denmark)

    Chen, Yun

    IP-seq and small RNA-seq, we delineated the landscape of the promoters with bidirectional transcriptions that yield steady-state RNA in only one directions (Paper III). A subsequent motif analysis enabled us to uncover specific DNA signals – early polyA sites – that make RNA on the reverse strand sensitive...... they regulated or if the sites had global elevated usage rates by multiple TFs. Using RNA-seq, 5’end-seq in combination with depletion of 5’exonuclease as well as nonsensemediated decay (NMD) factors, we systematically analyzed NMD substrates as well as their degradation intermediates in human cells (Paper V......). Gene enrichment analysis on the detected NMD substrates revealed an unappreciated NMD-based regulatory mechanism of the genes hosting multiple intronic snoRNAs, which can facilitate differential expression of individual snoRNAs from a single host gene locus. Finally, supported by RNA-seq and small RNA-seq...

  8. Context-specific microRNA analysis: identification of functional microRNAs and their mRNA targets.

    Science.gov (United States)

    Bossel Ben-Moshe, Noa; Avraham, Roi; Kedmi, Merav; Zeisel, Amit; Yitzhaky, Assif; Yarden, Yosef; Domany, Eytan

    2012-11-01

    MicroRNAs (miRs) function primarily as post-transcriptional negative regulators of gene expression through binding to their mRNA targets. Reliable prediction of a miR's targets is a considerable bioinformatic challenge of great importance for inferring the miR's function. Sequence-based prediction algorithms have high false-positive rates, are not in agreement, and are not biological context specific. Here we introduce CoSMic (Context-Specific MicroRNA analysis), an algorithm that combines sequence-based prediction with miR and mRNA expression data. CoSMic differs from existing methods--it identifies miRs that play active roles in the specific biological system of interest and predicts with less false positives their functional targets. We applied CoSMic to search for miRs that regulate the migratory response of human mammary cells to epidermal growth factor (EGF) stimulation. Several such miRs, whose putative targets were significantly enriched by migration processes were identified. We tested three of these miRs experimentally, and showed that they indeed affected the migratory phenotype; we also tested three negative controls. In comparison to other algorithms CoSMic indeed filters out false positives and allows improved identification of context-specific targets. CoSMic can greatly facilitate miR research in general and, in particular, advance our understanding of individual miRs' function in a specific context.

  9. GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data.

    Science.gov (United States)

    Ben-Ari Fuchs, Shani; Lieder, Iris; Stelzer, Gil; Mazor, Yaron; Buzhor, Ella; Kaplan, Sergey; Bogoch, Yoel; Plaschkes, Inbar; Shitrit, Alina; Rappaport, Noa; Kohn, Asher; Edgar, Ron; Shenhav, Liraz; Safran, Marilyn; Lancet, Doron; Guan-Golan, Yaron; Warshawsky, David; Shtrichman, Ronit

    2016-03-01

    Postgenomics data are produced in large volumes by life sciences and clinical applications of novel omics diagnostics and therapeutics for precision medicine. To move from "data-to-knowledge-to-innovation," a crucial missing step in the current era is, however, our limited understanding of biological and clinical contexts associated with data. Prominent among the emerging remedies to this challenge are the gene set enrichment tools. This study reports on GeneAnalytics™ ( geneanalytics.genecards.org ), a comprehensive and easy-to-apply gene set analysis tool for rapid contextualization of expression patterns and functional signatures embedded in the postgenomics Big Data domains, such as Next Generation Sequencing (NGS), RNAseq, and microarray experiments. GeneAnalytics' differentiating features include in-depth evidence-based scoring algorithms, an intuitive user interface and proprietary unified data. GeneAnalytics employs the LifeMap Science's GeneCards suite, including the GeneCards®--the human gene database; the MalaCards-the human diseases database; and the PathCards--the biological pathways database. Expression-based analysis in GeneAnalytics relies on the LifeMap Discovery®--the embryonic development and stem cells database, which includes manually curated expression data for normal and diseased tissues, enabling advanced matching algorithm for gene-tissue association. This assists in evaluating differentiation protocols and discovering biomarkers for tissues and cells. Results are directly linked to gene, disease, or cell "cards" in the GeneCards suite. Future developments aim to enhance the GeneAnalytics algorithm as well as visualizations, employing varied graphical display items. Such attributes make GeneAnalytics a broadly applicable postgenomics data analyses and interpretation tool for translation of data to knowledge-based innovation in various Big Data fields such as precision medicine, ecogenomics, nutrigenomics, pharmacogenomics, vaccinomics

  10. ErmineJ: Tool for functional analysis of gene expression data sets

    Directory of Open Access Journals (Sweden)

    Braynen William

    2005-11-01

    Full Text Available Abstract Background It is common for the results of a microarray study to be analyzed in the context of biologically-motivated groups of genes such as pathways or Gene Ontology categories. The most common method for such analysis uses the hypergeometric distribution (or a related technique to look for "over-representation" of groups among genes selected as being differentially expressed or otherwise of interest based on a gene-by-gene analysis. However, this method suffers from some limitations, and biologist-friendly tools that implement alternatives have not been reported. Results We introduce ErmineJ, a multiplatform user-friendly stand-alone software tool for the analysis of functionally-relevant sets of genes in the context of microarray gene expression data. ErmineJ implements multiple algorithms for gene set analysis, including over-representation and resampling-based methods that focus on gene scores or correlation of gene expression profiles. In addition to a graphical user interface, ErmineJ has a command line interface and an application programming interface that can be used to automate analyses. The graphical user interface includes tools for creating and modifying gene sets, visualizing the Gene Ontology as a table or tree, and visualizing gene expression data. ErmineJ comes with a complete user manual, and is open-source software licensed under the Gnu Public License. Conclusion The availability of multiple analysis algorithms, together with a rich feature set and simple graphical interface, should make ErmineJ a useful addition to the biologist's informatics toolbox. ErmineJ is available from http://microarray.cu.genome.org.

  11. School violence: An analysis from different interaction contexts

    Directory of Open Access Journals (Sweden)

    Rosa María Varela Garay

    2013-04-01

    Full Text Available The aim of the current study was to analyze the differences between adolescents scoring high and low on school violence in the following areas: individual (self-esteem, loneliness, satisfaction with life, and empathy; family (family climate, communication with father and mother; academic (classroom climate, attitudes toward authority, and sociometric status; and community (community involvement, community participation, social support from formal systems, and social support from informal systems. Differences in these relationships between boys and girls scoring high on school violence were also examined. Participants in the study were 1723 adolescents, aged 12 to 18 years old, in four secondary schools. Multivariate and univariate analysis of variance were performed. Results showed that adolescents with high levels of school violence scored higher on loneliness, depressive symptomatology, offensive and avoidance communication with father and mother, family conflict, and attitude towards transgression, as compared to adolescents with low levels of school violence. Furthermore, girls scoring high on school violence reported higher scores on academic self-esteem, empathy, and sociometric status, and lower scores on open communication with father and community participation, as compared to boys scoring high in school violence. Finally, these results and their practical implications are discussed.

  12. Towards Context-Aware Search and Analysis on Social Media Data

    DEFF Research Database (Denmark)

    Derczynski, Leon; Yang, Bin; Jensen, Christian S.

    2013-01-01

    Social media has changed the way we communicate. Social media data capture our social interactions and utterances in machine readable format. Searching and analysing massive and frequently updated social media data brings significant and diverse rewards across many different application domains...... with spatial and temporal contexts. We identify challenges relevant to each context, which we intend to subject to context aware querying and analysis, specifically including longitudinal analyses on social media archives, spatial keyword search, local intent search, and spatio-temporal intent search. Finally...

  13. An Analysis of Different Addressing Terms in High Context Communication and Low Context Communication from the Perspective of Frame Theory

    Institute of Scientific and Technical Information of China (English)

    LIU Peng-li

    2014-01-01

    Within the scope of human beings, some addressing terms are similar. However, different addressing terms still exist, which are influenced by the background of high context communication or low context communication. A good example is that Chinese traditional culture, a typical instance of high context communication, puts much emphasis on etiquette, which is repre-sented in addressing terms as more complex and definite;In western, with the background of low context communication, every individual is more equal and they address each other more generally and much simpler. This paper tries to explore the addressing terms both in Chinese and in English from the perspective of frame theory.

  14. Molecular analysis of the glucocerebrosidase gene locus

    Energy Technology Data Exchange (ETDEWEB)

    Winfield, S.L.; Martin, B.M.; Fandino, A. [Clinical Neuroscience Branch, Bethesda, MD (United States)] [and others

    1994-09-01

    Gaucher disease is due to a deficiency in the activity of the lysosomal enzyme glucocerebrosidase. Both the functional gene for this enzyme and a pseudogene are located in close proximity on chromosome 1q21. Analysis of the mutations present in patient samples has suggested interaction between the functional gene and the pseudogene in the origin of mutant genotypes. To investigate the involvement of regions flanking the functional gene and pseudogene in the origin of mutations found in Gaucher disease, a YAC clone containing DNA from this locus has been subcloned and characterized. The original YAC containing {approximately}360 kb was truncated with the use of fragmentation plasmids to about 85 kb. A lambda library derived from this YAC was screened to obtain clones containing glucocerebrosidase sequences. PCR amplification was used to identify subclones containing 5{prime}, central, or 3{prime} sequences of the functional gene or of the pseudogene. Clones spanning the entire distance from the last exon of the functional gene to intron 1 of the pseudogene, the 5{prime} end of the functional gene and 16 kb of 5{prime} flanking region and approximately 15 kb of 3{prime} flanking region of the pseudogene were sequenced. Sequence data from 48 kb of intergenic and flanking regions of the glucocerebrosidase gene and its pseudogene has been generated. A large number of Alu sequences and several simple repeats have been found. Two of these repeats exhibit fragment length polymorphism. There is almost 100% homology between the 3{prime} flanking regions of the functional gene and the pseudogene, extending to about 4 kb past the termination codons. A much lower degree of homology is observed in the 5{prime} flanking region. Patient samples are currently being screened for polymorphisms in these flanking regions.

  15. GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data

    Science.gov (United States)

    Ben-Ari Fuchs, Shani; Lieder, Iris; Mazor, Yaron; Buzhor, Ella; Kaplan, Sergey; Bogoch, Yoel; Plaschkes, Inbar; Shitrit, Alina; Rappaport, Noa; Kohn, Asher; Edgar, Ron; Shenhav, Liraz; Safran, Marilyn; Lancet, Doron; Guan-Golan, Yaron; Warshawsky, David; Shtrichman, Ronit

    2016-01-01

    Abstract Postgenomics data are produced in large volumes by life sciences and clinical applications of novel omics diagnostics and therapeutics for precision medicine. To move from “data-to-knowledge-to-innovation,” a crucial missing step in the current era is, however, our limited understanding of biological and clinical contexts associated with data. Prominent among the emerging remedies to this challenge are the gene set enrichment tools. This study reports on GeneAnalytics™ (geneanalytics.genecards.org), a comprehensive and easy-to-apply gene set analysis tool for rapid contextualization of expression patterns and functional signatures embedded in the postgenomics Big Data domains, such as Next Generation Sequencing (NGS), RNAseq, and microarray experiments. GeneAnalytics' differentiating features include in-depth evidence-based scoring algorithms, an intuitive user interface and proprietary unified data. GeneAnalytics employs the LifeMap Science's GeneCards suite, including the GeneCards®—the human gene database; the MalaCards—the human diseases database; and the PathCards—the biological pathways database. Expression-based analysis in GeneAnalytics relies on the LifeMap Discovery®—the embryonic development and stem cells database, which includes manually curated expression data for normal and diseased tissues, enabling advanced matching algorithm for gene–tissue association. This assists in evaluating differentiation protocols and discovering biomarkers for tissues and cells. Results are directly linked to gene, disease, or cell “cards” in the GeneCards suite. Future developments aim to enhance the GeneAnalytics algorithm as well as visualizations, employing varied graphical display items. Such attributes make GeneAnalytics a broadly applicable postgenomics data analyses and interpretation tool for translation of data to knowledge-based innovation in various Big Data fields such as precision medicine, ecogenomics, nutrigenomics

  16. Religion priming and an oxytocin receptor gene (OXTR) polymorphism interact to affect self-control in a social context.

    Science.gov (United States)

    Sasaki, Joni Y; Mojaverian, Taraneh; Kim, Heejung S

    2015-02-01

    Using a genetic moderation approach, this study examines how an experimental prime of religion impacts self-control in a social context, and whether this effect differs depending on the genotype of an oxytocin receptor gene (OXTR) polymorphism (rs53576). People with different genotypes of OXTR seem to have different genetic orientations toward sociality, which may have consequences for the way they respond to religious cues in the environment. In order to determine whether the influence of religion priming on self-control is socially motivated, we examine whether this effect is stronger for people who have OXTR genotypes that should be linked to greater rather than less social sensitivity (i.e., GG vs. AA/AG genotypes). The results showed that experimentally priming religion increased self-control behaviors for people with GG genotypes more so than people with AA/AG genotypes. Furthermore, this Gene × Religion interaction emerged in a social context, when people were interacting face to face with another person. This research integrates genetic moderation and social psychological approaches to address a novel question about religion's influence on self-control behavior, which has implications for coping with distress and psychopathology. These findings also highlight the importance of the social context for understanding genetic moderation of psychological effects.

  17. Context-dependent regulation of Th17-associated genes and IFNγ expression by the transcription factor NFAT5.

    Science.gov (United States)

    Alberdi, Maria; Iglesias, Marcos; Tejedor, Sonia; Merino, Ramón; López-Rodríguez, Cristina; Aramburu, Jose

    2017-01-01

    Stress-activated transcription factors influence T-cell function in different physiopathologic contexts. NFAT5, a relative of nuclear factor κB and the calcineurin-activated NFATc transcription factors, protects mammalian cells from hyperosmotic stress caused by the elevation of extracellular sodium levels. In T cells exposed to hypernatremia, NFAT5 not only induces osmoprotective gene products but also cytokines and immune receptors, which raises the question of whether this factor could regulate other T-cell functions in osmostress-independent contexts. Here we have used mice with a conditional deletion of Nfat5 in mature T lymphocytes to explore osmostress-dependent and -independent functions of this factor. In vitro experiments with CD4 T cells stimulated in hyperosmotic medium showed that NFAT5 enhanced the expression of IL-2 and the Th17-associated gene products RORγt and IL-23R. By contrast, NFAT5-deficient CD4 T cells activated in vivo by anti-CD3 antibody exhibited a different activation profile and were skewed towards enhanced interferon γ (IFNγ) and IL-17 expression and attenuated Treg responses. Using a model of experimental colitis, we observed that mice lacking NFAT5 in T cells exhibited exacerbated intestinal colitis and enhanced expression of IFNγ in draining lymph nodes and colon. These results show that NFAT5 can modulate different T-cell responses depending on stress conditions and stimulatory context.

  18. Gene Dosage Analysis in a Clinical Environment: Gene-Targeted Microarrays as the Platform-of-Choice

    Directory of Open Access Journals (Sweden)

    Donald R. Love

    2013-03-01

    Full Text Available The role of gene deletion and duplication in the aetiology of disease has become increasingly evident over the last decade. In addition to the classical deletion/duplication disorders diagnosed using molecular techniques, such as Duchenne Muscular Dystrophy and Charcot-Marie-Tooth Neuropathy Type 1A, the significance of partial or whole gene deletions in the pathogenesis of a large number single-gene disorders is becoming more apparent. A variety of dosage analysis methods are available to the diagnostic laboratory but the widespread application of many of these techniques is limited by the expense of the kits/reagents and restrictive targeting to a particular gene or portion of a gene. These limitations are particularly important in the context of a small diagnostic laboratory with modest sample throughput. We have developed a gene-targeted, custom-designed comparative genomic hybridisation (CGH array that allows twelve clinical samples to be interrogated simultaneously for exonic deletions/duplications within any gene (or panel of genes on the array. We report here on the use of the array in the analysis of a series of clinical samples processed by our laboratory over a twelve-month period. The array has proven itself to be robust, flexible and highly suited to the diagnostic environment.

  19. DNA context represents transcription regulation of the gene in mouse embryonic stem cells

    Science.gov (United States)

    Ha, Misook; Hong, Soondo

    2016-04-01

    Understanding gene regulatory information in DNA remains a significant challenge in biomedical research. This study presents a computational approach to infer gene regulatory programs from primary DNA sequences. Using DNA around transcription start sites as attributes, our model predicts gene regulation in the gene. We find that H3K27ac around TSS is an informative descriptor of the transcription program in mouse embryonic stem cells. We build a computational model inferring the cell-type-specific H3K27ac signatures in the DNA around TSS. A comparison of embryonic stem cell and liver cell-specific H3K27ac signatures in DNA shows that the H3K27ac signatures in DNA around TSS efficiently distinguish the cell-type specific H3K27ac peaks and the gene regulation. The arrangement of the H3K27ac signatures inferred from the DNA represents the transcription regulation of the gene in mESC. We show that the DNA around transcription start sites is associated with the gene regulatory program by specific interaction with H3K27ac.

  20. The Armc10/SVH gene: genome context, regulation of mitochondrial dynamics and protection against Aβ-induced mitochondrial fragmentation

    Science.gov (United States)

    Serrat, R; Mirra, S; Figueiro-Silva, J; Navas-Pérez, E; Quevedo, M; López-Doménech, G; Podlesniy, P; Ulloa, F; Garcia-Fernàndez, J; Trullas, R; Soriano, E

    2014-01-01

    Mitochondrial function and dynamics are essential for neurotransmission, neural function and neuronal viability. Recently, we showed that the eutherian-specific Armcx gene cluster (Armcx1–6 genes), located in the X chromosome, encodes for a new family of proteins that localise to mitochondria, regulating mitochondrial trafficking. The Armcx gene cluster evolved by retrotransposition of the Armc10 gene mRNA, which is present in all vertebrates and is considered to be the ancestor gene. Here we investigate the genomic organisation, mitochondrial functions and putative neuroprotective role of the Armc10 ancestor gene. The genomic context of the Armc10 locus shows considerable syntenic conservation among vertebrates, and sequence comparisons and CHIP-data suggest the presence of at least three conserved enhancers. We also show that the Armc10 protein localises to mitochondria and that it is highly expressed in the brain. Furthermore, we show that Armc10 levels regulate mitochondrial trafficking in neurons, but not mitochondrial aggregation, by controlling the number of moving mitochondria. We further demonstrate that the Armc10 protein interacts with the KIF5/Miro1-2/Trak2 trafficking complex. Finally, we show that overexpression of Armc10 in neurons prevents Aβ-induced mitochondrial fission and neuronal death. Our data suggest both conserved and differential roles of the Armc10/Armcx gene family in regulating mitochondrial dynamics in neurons, and underscore a protective effect of the Armc10 gene against Aβ-induced toxicity. Overall, our findings support a further degree of regulation of mitochondrial dynamics in the brain of more evolved mammals. PMID:24722288

  1. The Histone Demethylase KDM5 Activates Gene Expression by Recognizing Chromatin Context through Its PHD Reader Motif

    Directory of Open Access Journals (Sweden)

    Xingyin Liu

    2015-12-01

    Full Text Available KDM5 family proteins are critically important transcriptional regulators whose physiological functions in the context of a whole animal remain largely unknown. Using genome-wide gene expression and binding analyses in Drosophila adults, we demonstrate that KDM5 (Lid is a direct regulator of genes required for mitochondrial structure and function. Significantly, this occurs independently of KDM5’s well-described JmjC domain-encoded histone demethylase activity. Instead, it requires the PHD motif of KDM5 that binds to histone H3 that is di- or trimethylated on lysine 4 (H3K4me2/3. Genome-wide, KDM5 binding overlaps with the active chromatin mark H3K4me3, and a fly strain specifically lacking H3K4me2/3 binding shows defective KDM5 promoter recruitment and gene activation. KDM5 therefore plays a central role in regulating mitochondrial function by utilizing its ability to recognize specific chromatin contexts. Importantly, KDM5-mediated regulation of mitochondrial activity is likely to be key in human diseases caused by dysfunction of this family of proteins.

  2. Gene expression analysis of flax seed development

    Directory of Open Access Journals (Sweden)

    Sharpe Andrew

    2011-04-01

    Full Text Available Abstract Background Flax, Linum usitatissimum L., is an important crop whose seed oil and stem fiber have multiple industrial applications. Flax seeds are also well-known for their nutritional attributes, viz., omega-3 fatty acids in the oil and lignans and mucilage from the seed coat. In spite of the importance of this crop, there are few molecular resources that can be utilized toward improving seed traits. Here, we describe flax embryo and seed development and generation of comprehensive genomic resources for the flax seed. Results We describe a large-scale generation and analysis of expressed sequences in various tissues. Collectively, the 13 libraries we have used provide a broad representation of genes active in developing embryos (globular, heart, torpedo, cotyledon and mature stages seed coats (globular and torpedo stages and endosperm (pooled globular to torpedo stages and genes expressed in flowers, etiolated seedlings, leaves, and stem tissue. A total of 261,272 expressed sequence tags (EST (GenBank accessions LIBEST_026995 to LIBEST_027011 were generated. These EST libraries included transcription factor genes that are typically expressed at low levels, indicating that the depth is adequate for in silico expression analysis. Assembly of the ESTs resulted in 30,640 unigenes and 82% of these could be identified on the basis of homology to known and hypothetical genes from other plants. When compared with fully sequenced plant genomes, the flax unigenes resembled poplar and castor bean more than grape, sorghum, rice or Arabidopsis. Nearly one-fifth of these (5,152 had no homologs in sequences reported for any organism, suggesting that this category represents genes that are likely unique to flax. Digital analyses revealed gene expression dynamics for the biosynthesis of a number of important seed constituents during seed development. Conclusions We have developed a foundational database of expressed sequences and collection of plasmid

  3. Hierarchical Parallelization of Gene Differential Association Analysis

    Directory of Open Access Journals (Sweden)

    Dwarkadas Sandhya

    2011-09-01

    Full Text Available Abstract Background Microarray gene differential expression analysis is a widely used technique that deals with high dimensional data and is computationally intensive for permutation-based procedures. Microarray gene differential association analysis is even more computationally demanding and must take advantage of multicore computing technology, which is the driving force behind increasing compute power in recent years. In this paper, we present a two-layer hierarchical parallel implementation of gene differential association analysis. It takes advantage of both fine- and coarse-grain (with granularity defined by the frequency of communication parallelism in order to effectively leverage the non-uniform nature of parallel processing available in the cutting-edge systems of today. Results Our results show that this hierarchical strategy matches data sharing behavior to the properties of the underlying hardware, thereby reducing the memory and bandwidth needs of the application. The resulting improved efficiency reduces computation time and allows the gene differential association analysis code to scale its execution with the number of processors. The code and biological data used in this study are downloadable from http://www.urmc.rochester.edu/biostat/people/faculty/hu.cfm. Conclusions The performance sweet spot occurs when using a number of threads per MPI process that allows the working sets of the corresponding MPI processes running on the multicore to fit within the machine cache. Hence, we suggest that practitioners follow this principle in selecting the appropriate number of MPI processes and threads within each MPI process for their cluster configurations. We believe that the principles of this hierarchical approach to parallelization can be utilized in the parallelization of other computationally demanding kernels.

  4. Functional analysis of plastid-encoded genes

    OpenAIRE

    Swiatek, Magdalena

    2002-01-01

    Plastid chromosomes from the variety of plant species contain several conserved open reading frames of unknown function, which most probably represent functional genes. The primary aim of this thesis was the analysis of the role of two such ORFs, designated ycfs or hypothetical chloroplast reading frames, namely ycf9 (ORF62) and ycf10 (ORF229, cemA). Both were analyzed in Nicotiana tabacum (tobacco) via their inactivation using biolistic plastid transformation. A new experiment...

  5. Computational Analysis of PTEN Gene Mutation

    Directory of Open Access Journals (Sweden)

    Siew-Kien Mah

    2012-01-01

    Full Text Available Post-genomic data can be efficiently analyzed using computational tools. It has the advantage over the biochemical and biophysical methods in term of higher coverage. In this research, we adopted a computational analysis on PTEN gene mutation.  Mutation in PTEN is responsible for many human diseases. The results of this research provide insights into the protein domains of PTEN and the distribution of mutation.

  6. Ubiquitous Geo-Sensing for Context-Aware Analysis: Exploring Relationships between Environmental and Human Dynamics

    Directory of Open Access Journals (Sweden)

    Euro Beinat

    2012-07-01

    Full Text Available Ubiquitous geo-sensing enables context-aware analyses of physical and social phenomena, i.e., analyzing one phenomenon in the context of another. Although such context-aware analysis can potentially enable a more holistic understanding of spatio-temporal processes, it is rarely documented in the scientific literature yet. In this paper we analyzed the collective human behavior in the context of the weather. We therefore explored the complex relationships between these two spatio-temporal phenomena to provide novel insights into the dynamics of urban systems. Aggregated mobile phone data, which served as a proxy for collective human behavior, was linked with the weather data from climate stations in the case study area, the city of Udine, Northern Italy. To identify and characterize potential patterns within the weather-human relationships, we developed a hybrid approach which integrates several spatio-temporal statistical analysis methods. Thereby we show that explanatory factor analysis, when applied to a number of meteorological variables, can be used to differentiate between normal and adverse weather conditions. Further, we measured the strength of the relationship between the ‘global’ adverse weather conditions and the spatially explicit effective variations in user-generated mobile network traffic for three distinct periods using the Maximal Information Coefficient (MIC. The analyses result in three spatially referenced maps of MICs which reveal interesting insights into collective human dynamics in the context of weather, but also initiate several new scientific challenges.

  7. Globaltest and GOEAST: two different approaches for Gene Ontology analysis

    NARCIS (Netherlands)

    Hulsegge, B.; Kommadath, A.; Smits, M.A.

    2009-01-01

    Background Gene set analysis is a commonly used method for analysing microarray data by considering groups of functionally related genes instead of individual genes. Here we present the use of two gene set analysis approaches: Globaltest and GOEAST. Globaltest is a method for testing whether sets of

  8. Polymorphism Interaction Analysis (PIA: a method for investigating complex gene-gene interactions

    Directory of Open Access Journals (Sweden)

    Chanock Stephen J

    2008-03-01

    Full Text Available Abstract Background The risk of common diseases is likely determined by the complex interplay between environmental and genetic factors, including single nucleotide polymorphisms (SNPs. Traditional methods of data analysis are poorly suited for detecting complex interactions due to sparseness of data in high dimensions, which often occurs when data are available for a large number of SNPs for a relatively small number of samples. Validation of associations observed using multiple methods should be implemented to minimize likelihood of false-positive associations. Moreover, high-throughput genotyping methods allow investigators to genotype thousands of SNPs at one time. Investigating associations for each individual SNP or interactions between SNPs using traditional approaches is inefficient and prone to false positives. Results We developed the Polymorphism Interaction Analysis tool (PIA version 2.0 to include different approaches for ranking and scoring SNP combinations, to account for imbalances between case and control ratios, stratify on particular factors, and examine associations of user-defined pathways (based on SNP or gene with case status. PIA v. 2.0 detected 2-SNP interactions as the highest ranking model 77% of the time, using simulated data sets of genetic models of interaction (minor allele frequency = 0.2; heritability = 0.01; N = 1600 generated previously [Velez DR, White BC, Motsinger AA, Bush WS, Ritchie MD, Williams SM, Moore JH: A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genet Epidemiol 2007, 31:306–315.]. Interacting SNPs were detected in both balanced (20 SNPs and imbalanced data (case:control 1:2 and 1:4, 10 SNPs in the context of non-interacting SNPs. Conclusion PIA v. 2.0 is a useful tool for exploring gene*gene or gene*environment interactions and identifying a small number of putative associations which may be investigated further using other

  9. Psychometric analysis of export market orientation measurement scale in Croatian SME exporters’ context

    Directory of Open Access Journals (Sweden)

    Dario Miočević

    2009-07-01

    Full Text Available Market orientation is a vital construct of the marketing concept. Although different conceptualization approaches to market orientation have been discussed by literature so far, a common denominator is its interdependence with business performance. Increasing globalization trends affect both the markets’ convergence and competition. Consequently, focusing on market orientation within an international context is of utmost importance. Export market orientation (EMO is relatively new concept, which puts market orientation into the international context. Since export is a dominant international entry strategy in the Croatian economy which comprises mostly SMEs, it is crucial to investigate the importance of the EMO in the Croatian SME context. Determining an appropriate measurement scale of the EMO to be applied in various national research contexts leading to generalization represents a challenge for marketing academicians. The paper aims to find out whether the EMO construct and measurement scale can be applied within the Croatian SME context. The authors have used the exploratory and the confirmatory factor analysis to determine the psychometric properties of the EMO scale. The results of psychometric assessment of the EMO scale confirm its dimensionability, reliability, validity and applicability in the Croatian SME context. Results clearly indicate the necessity of pursuing EMO activities in order to achieve a high level of export performance.

  10. Immediate-Early Gene Transcriptional Activation in Hippocampus Ca1 and Ca3 Does Not Accurately Reflect Rapid, Pattern Completion-Based Retrieval of Context Memory

    Science.gov (United States)

    Pevzner, Aleksandr; Guzowski, John F.

    2015-01-01

    No studies to date have examined whether immediate-early gene (IEG) activation is driven by context memory recall. To address this question, we utilized the context preexposure facilitation effect (CPFE) paradigm. In CPFE, animals acquire contextual fear conditioning through hippocampus-dependent rapid retrieval of a previously formed contextual…

  11. Separate enrichment analysis of pathways for up- and downregulated genes.

    Science.gov (United States)

    Hong, Guini; Zhang, Wenjing; Li, Hongdong; Shen, Xiaopei; Guo, Zheng

    2014-03-06

    Two strategies are often adopted for enrichment analysis of pathways: the analysis of all differentially expressed (DE) genes together or the analysis of up- and downregulated genes separately. However, few studies have examined the rationales of these enrichment analysis strategies. Using both microarray and RNA-seq data, we show that gene pairs with functional links in pathways tended to have positively correlated expression levels, which could result in an imbalance between the up- and downregulated genes in particular pathways. We then show that the imbalance could greatly reduce the statistical power for finding disease-associated pathways through the analysis of all-DE genes. Further, using gene expression profiles from five types of tumours, we illustrate that the separate analysis of up- and downregulated genes could identify more pathways that are really pertinent to phenotypic difference. In conclusion, analysing up- and downregulated genes separately is more powerful than analysing all of the DE genes together.

  12. Analysis of gene expression in rabbit muscle

    Directory of Open Access Journals (Sweden)

    Alena Gálová

    2014-02-01

    Full Text Available Increasing consumer knowledge of the link between diet and health has raised the demand for high quality food. Meat and meat products may be considered as irreplaceable in human nutrition. Breeding livestock to higher content of lean meat and the use of modern hybrids entails problems with the quality of meat. Analysing of livestock genomes could get us a great deal of important information, which may significantly affect the improvement process. Domestic animals are invaluable resources for study of the molecular architecture of complex traits. Although the mapping of quantitative trait loci (QTL responsible for economically important traits in domestic animals has achieved remarkable results in recent decades, not all of the genetic variation in the complex traits has been captured because of the low density of markers used in QTL mapping studies. The genome wide association study (GWAS, which utilizes high-density single-nucleotide polymorphism (SNP, provides a new way to tackle this issue. New technologies now allow producing microarrays containing thousands of hybridization probes on a single membrane or other solid support. We used microarray analysis to study gene expression in rabbit muscle during different developmental age stages. The outputs from GeneSpring GX sotware are presented in this work. After the evaluation of gene expression in rabbits, will be selected genes of interest in relation to meat quality parameters and will be further analyzed by the available methods of molecular biology and genetics.

  13. The Peer Context of Adolescent Substance Use: Findings from Social Network Analysis

    Science.gov (United States)

    Ennett, Susan T.; Bauman, Karl E.; Hussong, Andrea; Faris, Robert; Foshee, Vangie A.; Cai, Li; DuRant, Robert H.

    2006-01-01

    To examine the peer context of adolescent substance use, social network analysis was used to measure three domains of attributes of peer networks: social embeddedness, social status, and social proximity to substance users. The sample was a panel of 5,104 sixth, seventh, and eighth graders in three public school systems surveyed every 6 months for…

  14. Patterns of Change in Willingness to Communicate in Public Speaking Contexts: A Latent Growth Modeling Analysis

    Science.gov (United States)

    Hodis, Georgeta M.; Bardhan, Nilanjana R.; Hodis, Flaviu A.

    2010-01-01

    This study offers a comprehensive analysis of change in willingness to communicate (WTC) in public speaking contexts (i.e., PS-WTC). The proposed conceptualization of change was tested using longitudinal data collected from a sample of 706 undergraduate students enrolled in an introductory communication course in a US university. Results of latent…

  15. An Empirical Analysis of Chinese College Learners' Obstacles to MOOC Learning in an English Context

    Science.gov (United States)

    Liu, Liangxing

    2017-01-01

    This article reports a study applying an exploratory factor analysis to discovering the underlying factor structure of Chinese college students' obstacles to learning MOOC in an English context. Seven obstacle factors are identified: 1. academic and language skills; 2. internet skills; 3. course instruction/management; 4. learning motivations; 5.…

  16. Sexually dimorphic gene expressions in eels: useful markers for early sex assessment in a conservation context

    Science.gov (United States)

    Geffroy, Benjamin; Guilbaud, Florian; Amilhat, Elsa; Beaulaton, Laurent; Vignon, Matthias; Huchet, Emmanuel; Rives, Jacques; Bobe, Julien; Fostier, Alexis; Guiguen, Yann; Bardonnet, Agnès

    2016-09-01

    Environmental sex determination (ESD) has been detected in a range of vertebrate reptile and fish species. Eels are characterized by an ESD that occurs relatively late, since sex cannot be histologically determined before individuals reach 28 cm. Because several eel species are at risk of extinction, assessing sex at the earliest stage is a crucial management issue. Based on preliminary results of RNA sequencing, we targeted genes susceptible to be differentially expressed between ovaries and testis at different stages of development. Using qPCR, we detected testis-specific expressions of dmrt1, amh, gsdf and pre-miR202 and ovary-specific expressions were obtained for zar1, zp3 and foxn5. We showed that gene expressions in the gonad of intersexual eels were quite similar to those of males, supporting the idea that intersexual eels represent a transitional stage towards testicular differentiation. To assess whether these genes would be effective early molecular markers, we sampled juvenile eels in two locations with highly skewed sex ratios. The combined expression of six of these genes allowed the discrimination of groups according to their potential future sex and thus this appears to be a useful tool to estimate sex ratios of undifferentiated juvenile eels.

  17. Extending gene ontology in the context of extracellular RNA and vesicle communication

    NARCIS (Netherlands)

    Cheung, Kei-Hoi; Keerthikumar, Shivakumar; Roncaglia, Paola; Subramanian, Sai Lakshmi; Roth, Matthew E; Samuel, Monisha; Anand, Sushma; Gangoda, Lahiru; Gould, Stephen; Alexander, Roger; Galas, David; Gerstein, Mark B; Hill, Andrew F; Kitchen, Robert R; Lötvall, Jan; Patel, Tushar; Procaccini, Dena C; Quesenberry, Peter; Rozowsky, Joel; Raffai, Robert L; Shypitsyna, Aleksandra; Su, Andrew I; Théry, Clotilde; Vickers, Kasey; Wauben, Marca H M; Mathivanan, Suresh; Milosavljevic, Aleksandar; Laurent, Louise C

    2016-01-01

    BACKGROUND: To address the lack of standard terminology to describe extracellular RNA (exRNA) data/metadata, we have launched an inter-community effort to extend the Gene Ontology (GO) with subcellular structure concepts relevant to the exRNA domain. By extending GO in this manner, the exRNA

  18. Siberian Regional Identity in the Context of Historical Consciousness (Content Analysis of Tomsk Regional Media

    Directory of Open Access Journals (Sweden)

    A V Bocharov

    2011-12-01

    Full Text Available The article presents a model to study the Siberian regional identity in the context of historical consciousness, as well as the results of its practical application in the content analysis of the publications by the Tomsk regional media. On the basis of the content analysis procedures the author demonstrates how, through historical memory, the regional identity is formed and manifested in the regional media in various spheres of society.

  19. Exploring factors that influence work analysis data: A meta-analysis of design choices, purposes, and organizational context.

    Science.gov (United States)

    DuVernet, Amy M; Dierdorff, Erich C; Wilson, Mark A

    2015-09-01

    Work analysis is fundamental to designing effective human resource systems. The current investigation extends previous research by identifying the differential effects of common design decisions, purposes, and organizational contexts on the data generated by work analyses. The effects of 19 distinct factors that span choices of descriptor, collection method, rating scale, and data source, as well as project purpose and organizational features, are explored. Meta-analytic results cumulated from 205 articles indicate that many of these variables hold significant consequences for work analysis data. Factors pertaining to descriptor choice, collection method, rating scale, and the purpose for conducting the work analysis each showed strong associations with work analysis data. The source of the work analysis information and organizational context in which it was conducted displayed fewer relationships. Findings can be used to inform choices work analysts make about methodology and postcollection evaluations of work analysis information.

  20. Large scale comparative codon-pair context analysis unveils general rules that fine-tune evolution of mRNA primary structure.

    Directory of Open Access Journals (Sweden)

    Gabriela Moura

    Full Text Available BACKGROUND: Codon usage and codon-pair context are important gene primary structure features that influence mRNA decoding fidelity. In order to identify general rules that shape codon-pair context and minimize mRNA decoding error, we have carried out a large scale comparative codon-pair context analysis of 119 fully sequenced genomes. METHODOLOGIES/PRINCIPAL FINDINGS: We have developed mathematical and software tools for large scale comparative codon-pair context analysis. These methodologies unveiled general and species specific codon-pair context rules that govern evolution of mRNAs in the 3 domains of life. We show that evolution of bacterial and archeal mRNA primary structure is mainly dependent on constraints imposed by the translational machinery, while in eukaryotes DNA methylation and tri-nucleotide repeats impose strong biases on codon-pair context. CONCLUSIONS: The data highlight fundamental differences between prokaryotic and eukaryotic mRNA decoding rules, which are partially independent of codon usage.

  1. Gene expression analysis identifies global gene dosage sensitivity in cancer

    DEFF Research Database (Denmark)

    Fehrmann, Rudolf S. N.; Karjalainen, Juha M.; Krajewska, Malgorzata;

    2015-01-01

    expression. We reanalyzed 77,840 expression profiles and observed a limited set of 'transcriptional components' that describe well-known biology, explain the vast majority of variation in gene expression and enable us to predict the biological function of genes. On correcting expression profiles...... for these components, we observed that the residual expression levels (in 'functional genomic mRNA' profiling) correlated strongly with copy number. DNA copy number correlated positively with expression levels for 99% of all abundantly expressed human genes, indicating global gene dosage sensitivity. By applying...

  2. SERVICES MARKETING WITHIN BUSINESS-TO-BUSINESS CONTEXT: A CONTENT ANALYSIS OF 1996 – 2014 PERIOD

    Directory of Open Access Journals (Sweden)

    Ceren Akman Biyik

    2017-06-01

    Full Text Available The aim of the study is to conduct a content analysis of services marketing within business-tobusiness context that were published between years 1996-2014. A qualitative approach was used and content analysis was conducted on 71 articles from 24 journals in this study. Firstly, thematic investigation was conducted, and then coding process was completed. According to the results of content analysis, top research topics are determined based on services marketing and business-to-business context. The findings of the study also showed the least studied topics and shed light on new research areas to the researchers in the field of services marketing and business-to-business.

  3. Comparative Analysis of Context-Dependent Mutagenesis Using Human and Mouse Models

    Directory of Open Access Journals (Sweden)

    Sofya A. Medvedeva

    2013-01-01

    Full Text Available Substitution rates strongly depend on their nucleotide context. One of the most studied examples is the excess of C > T mutations in the CG context in various groups of organisms, including vertebrates. Studies on the molecular mechanisms underlying this mutation regularity have provided insights into evolution, mutagenesis, and cancer development. Recently several other hypermutable motifs were identified in the human genome. There is an increased frequency of T > C mutations in the second position of the words ATTG and ATAG and an increased frequency of A > C mutations in the first position of the word ACAA. For a better understanding of evolution, it is of interest whether these mutation regularities are human specific or present in other vertebrates, as their presence might affect the validity of currently used substitution models and molecular clocks. A comprehensive analysis of mutagenesis in 4 bp mutation contexts requires a vast amount of mutation data. Such data may be derived from the comparisons of individual genomes or from single nucleotide polymorphism (SNP databases. Using this approach, we performed a systematical comparison of mutation regularities within 2–4 bp contexts in Mus musculus and Homo sapiens and uncovered that even closely related organisms may have notable differences in context-dependent mutation regularities.

  4. Gene by Social-Context Interactions for Number of Sexual Partners Among White Male Youths: Genetics-informed Sociology

    Science.gov (United States)

    Guo, Guang; Tong, Yuying; Cai, Tianji

    2010-01-01

    In this study, we set out to investigate whether introducing molecular genetic measures into an analysis of sexual partner variety will yield novel sociological insights. The data source is the white male DNA sample in the National Longitudinal Study of Adolescent Health. Our empirical analysis has produced a robust protective effect of the 9R/9R genotype relative to the Any10R genotype in the dopamine transporter gene (DAT1). The gene-environment interaction analysis demonstrates that the protective effect of 9R/9R tends to be lost in schools in which higher proportions of students start having sex early or among those with relatively low levels of cognitive ability. Our genetics-informed sociological analysis suggests that the “one size” of a single social theory may not fit all. Explaining a human trait or behavior may require a theory that accommodates the complex interplay between social contextual and individual influences and genetic predispositions. PMID:19569400

  5. The Serratia gene cluster encoding biosynthesis of the red antibiotic, prodigiosin, shows species- and strain-dependent genome context variation

    DEFF Research Database (Denmark)

    Harris, Abigail K P; Williamson, Neil R; Slater, Holly

    2004-01-01

    The prodigiosin biosynthesis gene cluster (pig cluster) from two strains of Serratia (S. marcescens ATCC 274 and Serratia sp. ATCC 39006) has been cloned, sequenced and expressed in heterologous hosts. Sequence analysis of the respective pig clusters revealed 14 ORFs in S. marcescens ATCC 274 and...

  6. Realtime Interaction Analysis of Social Interplay in a Multimodal Musical-Sonic Interaction Context

    DEFF Research Database (Denmark)

    Hansen, Anne-Marie

    2010-01-01

    This paper presents an approach to the analysis of social interplay among users in a multimodal interaction and musical performance situation. The approach consists of a combined method of realtime sensor data analysis for the description and interpretation of player gestures and video micro......-analysis methods used to describe the interaction situation and the context in which the social interplay takes place. This combined method is used in an iterative process, where the design of interactive games with musical-sonic feedback is improved according to newly discovered understandings and interpretations...

  7. Gene coexpression network analysis as a source of functional annotation for rice genes.

    Directory of Open Access Journals (Sweden)

    Kevin L Childs

    Full Text Available With the existence of large publicly available plant gene expression data sets, many groups have undertaken data analyses to construct gene coexpression networks and functionally annotate genes. Often, a large compendium of unrelated or condition-independent expression data is used to construct gene networks. Condition-dependent expression experiments consisting of well-defined conditions/treatments have also been used to create coexpression networks to help examine particular biological processes. Gene networks derived from either condition-dependent or condition-independent data can be difficult to interpret if a large number of genes and connections are present. However, algorithms exist to identify modules of highly connected and biologically relevant genes within coexpression networks. In this study, we have used publicly available rice (Oryza sativa gene expression data to create gene coexpression networks using both condition-dependent and condition-independent data and have identified gene modules within these networks using the Weighted Gene Coexpression Network Analysis method. We compared the number of genes assigned to modules and the biological interpretability of gene coexpression modules to assess the utility of condition-dependent and condition-independent gene coexpression networks. For the purpose of providing functional annotation to rice genes, we found that gene modules identified by coexpression analysis of condition-dependent gene expression experiments to be more useful than gene modules identified by analysis of a condition-independent data set. We have incorporated our results into the MSU Rice Genome Annotation Project database as additional expression-based annotation for 13,537 genes, 2,980 of which lack a functional annotation description. These results provide two new types of functional annotation for our database. Genes in modules are now associated with groups of genes that constitute a collective functional

  8. Material flows in a social context : a Vietnamese case study combining the materials flow analysis and action-in-context frameworks

    NARCIS (Netherlands)

    Hobbes, M.; Stalpers, S.I.P.; Kooijman, J.

    2007-01-01

    Materials flow analysis (MFA) is one of the central achievements of industrial ecology. One direction in which one can move MFA beyond mere accounting is by putting the material flows in their social context. This "socially extended MFA" may be carried out at various levels of aggregation. In this

  9. Operation Context

    DEFF Research Database (Denmark)

    Stüben, Henning; Tietjen, Anne

    2006-01-01

    Abstract: This paper seeks to challenge the notion of context from an operational perspective. Can we grasp the forces that shape the complex conditions for an architectural or urban design within the notion of context? By shifting the gaze towards the agency of architecture, contextual analysis...

  10. Concept analysis of empowerment from survivor and nurse perspectives within the context of cancer survivorship.

    Science.gov (United States)

    Jerofke, Teresa A

    2013-01-01

    The liberal usage of the concept of empowerment has led to the development of a broad and ambiguous term. In health care, empowerment is a core principle of patient-centered care that promotes patient engagement in health management. This is an analysis of the concept of empowerment within the context of cancer survivorship using both Rodgers' evolutionary concept analysis and Caron and Bower's dimensional analysis. The dimensional analysis followed the evolutionary concept analysis as the perspectives of patients and nurse providers emerged in the analysis. Data sources included a sample of 249 papers from multiple disciplines covering the period 2000-2013. Empowerment is defined as power-with that is actualized through a beneficial relationship of mutual trust and respect for autonomy that develops within a dynamic and patient-centered process. The attributes, along with the antecedents and consequences, provide a foundation for future theory development of empowerment in the context of cancer survivorship. This analysis demonstrated that although nurses and survivors may have a similar definition of the concept of empowerment, the uses and assumptions of that definition may differ. Future studies should be conducted measuring the effectiveness of an intervention that uses the components of the process of empowerment from survivors' perspectives.

  11. Inter-genomic displacement via lateral gene transfer of bacterial trp operons in an overall context of vertical genealogy

    Directory of Open Access Journals (Sweden)

    Keyhani Nemat O

    2004-06-01

    Full Text Available Abstract Background The growing conviction that lateral gene transfer plays a significant role in prokaryote genealogy opens up a need for comprehensive evaluations of gene-enzyme systems on a case-by-case basis. Genes of tryptophan biosynthesis are frequently organized as whole-pathway operons, an attribute that is expected to facilitate multi-gene transfer in a single step. We have asked whether events of lateral gene transfer are sufficient to have obscured our ability to track the vertical genealogy that underpins tryptophan biosynthesis. Results In 47 complete-genome Bacteria, the genes encoding the seven catalytic domains that participate in primary tryptophan biosynthesis were distinguished from any paralogs or xenologs engaged in other specialized functions. A reliable list of orthologs with carefully ascertained functional roles has thus been assembled and should be valuable as an annotation resource. The protein domains associated with primary tryptophan biosynthesis were then concatenated, yielding single amino-acid sequence strings that represent the entire tryptophan pathway. Lateral gene transfer of several whole-pathway trp operons was demonstrated by use of phylogenetic analysis. Lateral gene transfer of partial-pathway trp operons was also shown, with newly recruited genes functioning either in primary biosynthesis (rarely or specialized metabolism (more frequently. Conclusions (i Concatenated tryptophan protein trees are congruent with 16S rRNA subtrees provided that the genomes represented are of sufficiently close phylogenetic spacing. There are currently seven tryptophan congruency groups in the Bacteria. Recognition of a succession of others can be expected in the near future, but ultimately these should coalesce to a single grouping that parallels the 16S rRNA tree (except for cases of lateral gene transfer. (ii The vertical trace of evolution for tryptophan biosynthesis can be deduced. The daunting complexities engendered

  12. Inter-genomic displacement via lateral gene transfer of bacterial trp operons in an overall context of vertical genealogy.

    Science.gov (United States)

    Xie, Gary; Bonner, Carol A; Song, Jian; Keyhani, Nemat O; Jensen, Roy A

    2004-06-23

    The growing conviction that lateral gene transfer plays a significant role in prokaryote genealogy opens up a need for comprehensive evaluations of gene-enzyme systems on a case-by-case basis. Genes of tryptophan biosynthesis are frequently organized as whole-pathway operons, an attribute that is expected to facilitate multi-gene transfer in a single step. We have asked whether events of lateral gene transfer are sufficient to have obscured our ability to track the vertical genealogy that underpins tryptophan biosynthesis. In 47 complete-genome Bacteria, the genes encoding the seven catalytic domains that participate in primary tryptophan biosynthesis were distinguished from any paralogs or xenologs engaged in other specialized functions. A reliable list of orthologs with carefully ascertained functional roles has thus been assembled and should be valuable as an annotation resource. The protein domains associated with primary tryptophan biosynthesis were then concatenated, yielding single amino-acid sequence strings that represent the entire tryptophan pathway. Lateral gene transfer of several whole-pathway trp operons was demonstrated by use of phylogenetic analysis. Lateral gene transfer of partial-pathway trp operons was also shown, with newly recruited genes functioning either in primary biosynthesis (rarely) or specialized metabolism (more frequently). (i) Concatenated tryptophan protein trees are congruent with 16S rRNA subtrees provided that the genomes represented are of sufficiently close phylogenetic spacing. There are currently seven tryptophan congruency groups in the Bacteria. Recognition of a succession of others can be expected in the near future, but ultimately these should coalesce to a single grouping that parallels the 16S rRNA tree (except for cases of lateral gene transfer). (ii) The vertical trace of evolution for tryptophan biosynthesis can be deduced. The daunting complexities engendered by paralogy, xenology, and idiosyncrasies of

  13. Context based Coding of Binary Shapes by Object Boundary Straightness Analysis

    DEFF Research Database (Denmark)

    Aghito, Shankar Manuel; Forchhammer, Søren

    2004-01-01

    A new lossless compression scheme for bilevel images targeted at binary shapes of image and video objects is presented. The scheme is based on a local analysis of the digital straightness of the causal part of the object boundary, which is used in the context definition for arithmetic encoding. T...... more efficient than the state-of-the-art and more complex free tree coder for most of the binary shape and map test images....

  14. Geographic context scanning & analysis: il Modello Di Riferimento e le Operazioni

    Directory of Open Access Journals (Sweden)

    Maurizio Rosina

    2013-12-01

    Full Text Available The aim of the article is to define a Reference Model and the operators which allow to perform the activities of Geographic ContextScanning & Analysis. The theory and methods exposed will contribute to the evolution of the framework GEOPOI 2.0, developed and delivered by Sogei and acc essed as a SaaS (Software as a Serv ice by a number of Public Administrations for your own institutional tasks.

  15. Analysis of Duplicate Genes in Soybean

    Institute of Scientific and Technical Information of China (English)

    C.M. Cai; K.J. Van; M.Y. Kim; S.H. Lee

    2007-01-01

    @@ Gene duplication is a major determinant of the size and gene complement of eukaryotic genomes (Lockton and Gaut, 2005). There are a number of different ways in which duplicate genes can arise (Sankoff, 2001), but the most spectacular method of gene duplication may be whole genome duplication via polyploidization.

  16. Genome-wide analysis of homeobox genes from Mesobuthus martensii reveals Hox gene duplication in scorpions.

    Science.gov (United States)

    Di, Zhiyong; Yu, Yao; Wu, Yingliang; Hao, Pei; He, Yawen; Zhao, Huabin; Li, Yixue; Zhao, Guoping; Li, Xuan; Li, Wenxin; Cao, Zhijian

    2015-06-01

    Homeobox genes belong to a large gene group, which encodes the famous DNA-binding homeodomain that plays a key role in development and cellular differentiation during embryogenesis in animals. Here, one hundred forty-nine homeobox genes were identified from the Asian scorpion, Mesobuthus martensii (Chelicerata: Arachnida: Scorpiones: Buthidae) based on our newly assembled genome sequence with approximately 248 × coverage. The identified homeobox genes were categorized into eight classes including 82 families: 67 ANTP class genes, 33 PRD genes, 11 LIM genes, five POU genes, six SINE genes, 14 TALE genes, five CUT genes, two ZF genes and six unclassified genes. Transcriptome data confirmed that more than half of the genes were expressed in adults. The homeobox gene diversity of the eight classes is similar to the previously analyzed Mandibulata arthropods. Interestingly, it is hypothesized that the scorpion M. martensii may have two Hox clusters. The first complete genome-wide analysis of homeobox genes in Chelicerata not only reveals the repertoire of scorpion, arachnid and chelicerate homeobox genes, but also shows some insights into the evolution of arthropod homeobox genes.

  17. Sequencing and Gene Expression Analysis of Leishmania tropica LACK Gene.

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    Nour Hammoudeh

    2014-12-01

    Full Text Available Leishmania Homologue of receptors for Activated C Kinase (LACK antigen is a 36-kDa protein, which provokes a very early immune response against Leishmania infection. There are several reports on the expression of LACK through different life-cycle stages of genus Leishmania, but only a few of them have focused on L.tropica.The present study provides details of the cloning, DNA sequencing and gene expression of LACK in this parasite species. First, several local isolates of Leishmania parasites were typed in our laboratory using PCR technique to verify of Leishmania parasite species. After that, LACK gene was amplified and cloned into a vector for sequencing. Finally, the expression of this molecule in logarithmic and stationary growth phase promastigotes, as well as in amastigotes, was evaluated by Reverse Transcription-PCR (RT-PCR technique.The typing result confirmed that all our local isolates belong to L.tropica. LACK gene sequence was determined and high similarity was observed with the sequences of other Leishmania species. Furthermore, the expression of LACK gene in both promastigotes and amastigotes forms was confirmed.Overall, the data set the stage for future studies of the properties and immune role of LACK gene products.

  18. RNA amplification for successful gene profiling analysis

    Directory of Open Access Journals (Sweden)

    Wang Ena

    2005-07-01

    Full Text Available Abstract The study of clinical samples is often limited by the amount of material available to study. While proteins cannot be multiplied in their natural form, DNA and RNA can be amplified from small specimens and used for high-throughput analyses. Therefore, genetic studies offer the best opportunity to screen for novel insights of human pathology when little material is available. Precise estimates of DNA copy numbers in a given specimen are necessary. However, most studies investigate static variables such as the genetic background of patients or mutations within pathological specimens without a need to assess proportionality of expression among different genes throughout the genome. Comparative genomic hybridization of DNA samples represents a crude exception to this rule since genomic amplification or deletion is compared among different specimens directly. For gene expression analysis, however, it is critical to accurately estimate the proportional expression of distinct RNA transcripts since such proportions directly govern cell function by modulating protein expression. Furthermore, comparative estimates of relative RNA expression at different time points portray the response of cells to environmental stimuli, indirectly informing about broader biological events affecting a particular tissue in physiological or pathological conditions. This cognitive reaction of cells is similar to the detection of electroencephalographic patterns which inform about the status of the brain in response to external stimuli. As our need to understand human pathophysiology at the global level increases, the development and refinement of technologies for high fidelity messenger RNA amplification have become the focus of increasing interest during the past decade. The need to increase the abundance of RNA has been met not only for gene specific amplification, but, most importantly for global transcriptome wide, unbiased amplification. Now gene

  19. Evaluating the consistency of gene sets used in the analysis of bacterial gene expression data

    Directory of Open Access Journals (Sweden)

    Tintle Nathan L

    2012-08-01

    Full Text Available Abstract Background Statistical analyses of whole genome expression data require functional information about genes in order to yield meaningful biological conclusions. The Gene Ontology (GO and Kyoto Encyclopedia of Genes and Genomes (KEGG are common sources of functionally grouped gene sets. For bacteria, the SEED and MicrobesOnline provide alternative, complementary sources of gene sets. To date, no comprehensive evaluation of the data obtained from these resources has been performed. Results We define a series of gene set consistency metrics directly related to the most common classes of statistical analyses for gene expression data, and then perform a comprehensive analysis of 3581 Affymetrix® gene expression arrays across 17 diverse bacteria. We find that gene sets obtained from GO and KEGG demonstrate lower consistency than those obtained from the SEED and MicrobesOnline, regardless of gene set size. Conclusions Despite the widespread use of GO and KEGG gene sets in bacterial gene expression data analysis, the SEED and MicrobesOnline provide more consistent sets for a wide variety of statistical analyses. Increased use of the SEED and MicrobesOnline gene sets in the analysis of bacterial gene expression data may improve statistical power and utility of expression data.

  20. Typical Responses in Giving Evaluation: An Analysis of High and Low Context Culture Communication

    Directory of Open Access Journals (Sweden)

    Ferany Arifin

    2013-05-01

    Full Text Available This paper aims at discussing high and low context in responses given by the students to evaluate their friend’s impromptu speech performance. The study focuses on the characteristics of high and low context represented specifically on (1 direct-indirect (2 simple-complex response, and (3 relationship orientation. The study is based on the analysis of ten responses given by ten students with different sexes. Classroom observation followed by transcription analysis is used. The data were collected naturally at undergraduate campus. The result shows that using indirect and complex responses can maintain harmonious relationship with others. The basic asumption is that the students tend to communicate in high level context. Penelitian ini bertujuan untuk membahas konteks tinggi dan rendah dalam mengevaluasi performansi pidato tanpa persiapan temannya. Penelitian ini memusatkan perhatian pada ciri konteks tinggi dan rendah yang direpresentasikan oleh (1 tanggapan langsung-tak langsung (2 sederhana-kompleks, dan (3 orientasi hubungan. Penelitian ini didasarkan pada sepuluh tanggapan yang diberikan oleh sepuluh mahasiswa pria dan wanita. Pengamatan kelas yang diikuti dengan analisis transkripsi digunakan untuk pengumpulan data. Data dikumpulkan di kampus diploma. Analisis menunjukkan bahwa siswa cenderung menggunakan tanggapan kompleks dan tak langsung agar dapat menjaga keharmonisan hubungan dengan temannya. Oleh karena itu asumsi dasarnya adalah bahwa siswa cenderung berkomunikasi dalam konteks level tinggi.

  1. Gene expression profile analysis of type 2 diabetic mouse liver.

    Directory of Open Access Journals (Sweden)

    Fang Zhang

    Full Text Available Liver plays a key role in glucose metabolism and homeostasis, and impaired hepatic glucose metabolism contributes to the development of type 2 diabetes. However, the precise gene expression profile of diabetic liver and its association with diabetes and related diseases are yet to be further elucidated. In this study, we detected the gene expression profile by high-throughput sequencing in 9-week-old normal and type 2 diabetic db/db mouse liver. Totally 12132 genes were detected, and 2627 genes were significantly changed in diabetic mouse liver. Biological process analysis showed that the upregulated genes in diabetic mouse liver were mainly enriched in metabolic processes. Surprisingly, the downregulated genes in diabetic mouse liver were mainly enriched in immune-related processes, although all the altered genes were still mainly enriched in metabolic processes. Similarly, KEGG pathway analysis showed that metabolic pathways were the major pathways altered in diabetic mouse liver, and downregulated genes were enriched in immune and cancer pathways. Analysis of the key enzyme genes in fatty acid and glucose metabolism showed that some key enzyme genes were significantly increased and none of the detected key enzyme genes were decreased. In addition, FunDo analysis showed that liver cancer and hepatitis were most likely to be associated with diabetes. Taken together, this study provides the digital gene expression profile of diabetic mouse liver, and demonstrates the main diabetes-associated hepatic biological processes, pathways, key enzyme genes in fatty acid and glucose metabolism and potential hepatic diseases.

  2. Mutation analysis of the preproghrelin gene

    DEFF Research Database (Denmark)

    Larsen, Lesli H; Gjesing, Anette P; Sørensen, Thorkild I A;

    2005-01-01

    To investigate the preproghrelin gene for variants and their association with obesity and type 2 diabetes.......To investigate the preproghrelin gene for variants and their association with obesity and type 2 diabetes....

  3. Analysis of Decision Trees in Context Clustering of Hidden Markov Model Based Thai Speech Synthesis

    Directory of Open Access Journals (Sweden)

    Suphattharachai Chomphan

    2011-01-01

    Full Text Available Problem statement: In Thai speech synthesis using Hidden Markov model (HMM based synthesis system, the tonal speech quality is degraded due to tone distortion. This major problem must be treated appropriately to preserve the tone characteristics of each syllable unit. Since tone brings about the intelligibility of the synthesized speech. It is needed to establish the tone questions and other phonetic questions in tree-based context clustering process accordingly. Approach: This study describes the analysis of questions in tree-based context clustering process of an HMM-based speech synthesis system for Thai language. In the system, spectrum, pitch or F0 and state duration are modeled simultaneously in a unified framework of HMM, their parameter distributions are clustered independently by using a decision-tree based context clustering technique. The contextual factors which affect spectrum, pitch and duration, i.e., part of speech, position and number of phones in a syllable, position and number of syllables in a word, position and number of words in a sentence, phone type and tone type, are taken into account for constructing the questions of the decision tree. All in all, thirteen sets of questions are analyzed in comparison. Results: In the experiment, we analyzed the decision trees by counting the number of questions in each node coming from those thirteen sets and by calculating the dominance score given to each question as the reciprocal of the distance from the root node to the question node. The highest number and dominance score are of the set of phonetic type, while the second, third highest ones are of the set of part of speech and tone type. Conclusion: By counting the number of questions in each node and calculating the dominance score, we can set the priority of each question set. All in all, the analysis results bring about further development of Thai speech synthesis with efficient context clustering process in

  4. Identification of Human HK Genes and Gene Expression Regulation Study in Cancer from Transcriptomics Data Analysis

    Science.gov (United States)

    Zhang, Zhang; Liu, Jingxing; Wu, Jiayan; Yu, Jun

    2013-01-01

    The regulation of gene expression is essential for eukaryotes, as it drives the processes of cellular differentiation and morphogenesis, leading to the creation of different cell types in multicellular organisms. RNA-Sequencing (RNA-Seq) provides researchers with a powerful toolbox for characterization and quantification of transcriptome. Many different human tissue/cell transcriptome datasets coming from RNA-Seq technology are available on public data resource. The fundamental issue here is how to develop an effective analysis method to estimate expression pattern similarities between different tumor tissues and their corresponding normal tissues. We define the gene expression pattern from three directions: 1) expression breadth, which reflects gene expression on/off status, and mainly concerns ubiquitously expressed genes; 2) low/high or constant/variable expression genes, based on gene expression level and variation; and 3) the regulation of gene expression at the gene structure level. The cluster analysis indicates that gene expression pattern is higher related to physiological condition rather than tissue spatial distance. Two sets of human housekeeping (HK) genes are defined according to cell/tissue types, respectively. To characterize the gene expression pattern in gene expression level and variation, we firstly apply improved K-means algorithm and a gene expression variance model. We find that cancer-associated HK genes (a HK gene is specific in cancer group, while not in normal group) are expressed higher and more variable in cancer condition than in normal condition. Cancer-associated HK genes prefer to AT-rich genes, and they are enriched in cell cycle regulation related functions and constitute some cancer signatures. The expression of large genes is also avoided in cancer group. These studies will help us understand which cell type-specific patterns of gene expression differ among different cell types, and particularly for cancer. PMID:23382867

  5. Comprehensive analysis of plant rapid alkalization factor (RALF) genes.

    Science.gov (United States)

    Sharma, Arti; Hussain, Adil; Mun, Bong-Gyu; Imran, Qari Muhammad; Falak, Noreen; Lee, Sang-Uk; Kim, Jae Young; Hong, Jeum Kyu; Loake, Gary John; Ali, Asad; Yun, Byung-Wook

    2016-09-01

    Receptor mediated signal carriers play a critical role in the regulation of plant defense and development. Rapid alkalization factor (RALF) proteins potentially comprise important signaling components which may have a key role in plant biology. The RALF gene family contains large number of genes in several plant species, however, only a few RALF genes have been characterized to date. In this study, an extensive database search identified 39, 43, 34 and 18 RALF genes in Arabidopsis, rice, maize and soybean, respectively. These RALF genes were found to be highly conserved across the 4 plant species. A comprehensive analysis including the chromosomal location, gene structure, subcellular location, conserved motifs, protein structure, protein-ligand interaction and promoter analysis was performed. RALF genes from four plant species were divided into 7 groups based on phylogenetic analysis. In silico expression analysis of these genes, using microarray and EST data, revealed that these genes exhibit a variety of expression patterns. Furthermore, RALF genes showed distinct expression patterns of transcript accumulation in vivo following nitrosative and oxidative stresses in Arabidopsis. Predicted interaction between RALF and heme ligand also showed that RALF proteins may contribute towards transporting or scavenging oxygen moieties. This suggests a possible role for RALF genes during changes in cellular redox status. Collectively, our data provides a valuable resource to prime future research in the role of RALF genes in plant growth and development.

  6. Self-Contained Statistical Analysis of Gene Sets

    Science.gov (United States)

    Cannon, Judy L.; Ricoy, Ulises M.; Johnson, Christopher

    2016-01-01

    Microarrays are a powerful tool for studying differential gene expression. However, lists of many differentially expressed genes are often generated, and unraveling meaningful biological processes from the lists can be challenging. For this reason, investigators have sought to quantify the statistical probability of compiled gene sets rather than individual genes. The gene sets typically are organized around a biological theme or pathway. We compute correlations between different gene set tests and elect to use Fisher’s self-contained method for gene set analysis. We improve Fisher’s differential expression analysis of a gene set by limiting the p-value of an individual gene within the gene set to prevent a small percentage of genes from determining the statistical significance of the entire set. In addition, we also compute dependencies among genes within the set to determine which genes are statistically linked. The method is applied to T-ALL (T-lineage Acute Lymphoblastic Leukemia) to identify differentially expressed gene sets between T-ALL and normal patients and T-ALL and AML (Acute Myeloid Leukemia) patients. PMID:27711232

  7. Time-Course Gene Set Analysis for Longitudinal Gene Expression Data.

    Directory of Open Access Journals (Sweden)

    Boris P Hejblum

    2015-06-01

    Full Text Available Gene set analysis methods, which consider predefined groups of genes in the analysis of genomic data, have been successfully applied for analyzing gene expression data in cross-sectional studies. The time-course gene set analysis (TcGSA introduced here is an extension of gene set analysis to longitudinal data. The proposed method relies on random effects modeling with maximum likelihood estimates. It allows to use all available repeated measurements while dealing with unbalanced data due to missing at random (MAR measurements. TcGSA is a hypothesis driven method that identifies a priori defined gene sets with significant expression variations over time, taking into account the potential heterogeneity of expression within gene sets. When biological conditions are compared, the method indicates if the time patterns of gene sets significantly differ according to these conditions. The interest of the method is illustrated by its application to two real life datasets: an HIV therapeutic vaccine trial (DALIA-1 trial, and data from a recent study on influenza and pneumococcal vaccines. In the DALIA-1 trial TcGSA revealed a significant change in gene expression over time within 69 gene sets during vaccination, while a standard univariate individual gene analysis corrected for multiple testing as well as a standard a Gene Set Enrichment Analysis (GSEA for time series both failed to detect any significant pattern change over time. When applied to the second illustrative data set, TcGSA allowed the identification of 4 gene sets finally found to be linked with the influenza vaccine too although they were found to be associated to the pneumococcal vaccine only in previous analyses. In our simulation study TcGSA exhibits good statistical properties, and an increased power compared to other approaches for analyzing time-course expression patterns of gene sets. The method is made available for the community through an R package.

  8. A Systematic Mapping on the Learning Analytics Field and Its Analysis in the Massive Open Online Courses Context

    Science.gov (United States)

    Moissa, Barbara; Gasparini, Isabela; Kemczinski, Avanilde

    2015-01-01

    Learning Analytics (LA) is a field that aims to optimize learning through the study of dynamical processes occurring in the students' context. It covers the measurement, collection, analysis and reporting of data about students and their contexts. This study aims at surveying existing research on LA to identify approaches, topics, and needs for…

  9. Effective methods of consumer protection in Brazil. An analysis in the context of property development contracts

    Directory of Open Access Journals (Sweden)

    Deborah Alcici Salomão

    2015-12-01

    Full Text Available This study examines consumer protection in arbitration, especially under the example of property development contract disputes in Brazil. This is a very current issue in light of the presidential veto of consumer arbitration on May 26, 2015. The article discusses the arbitrability of these disputes based on Brazilian legislation and relevant case law. It also analyzes of the advantages, disadvantages and trends of consumer arbitration in the context of real estate contracts. The paper concludes by providing suggestions specific to consumer protection in arbitration based on this analysis.

  10. Context-based coding of bilevel images enhanced by digital straight line analysis

    DEFF Research Database (Denmark)

    Aghito, Shankar Manuel; Forchhammer, Søren

    2006-01-01

    , or segmentation maps are also encoded efficiently. The algorithm is not targeted at document images with text, which can be coded efficiently with dictionary-based techniques as in JBIG2. The scheme is based on a local analysis of the digital straightness of the causal part of the object boundary, which is used...... in the context definition for arithmetic encoding. Tested on individual images of standard TV resolution binary shapes and the binary layers of a digital map, the proposed algorithm outperforms PWC, JBIG, JBIG2, and MPEG-4 CAE. On the binary shapes, the code lengths are reduced by 21%, 27 %, 28 %, and 41...

  11. The top skin-associated genes: a comparative analysis of human and mouse skin transcriptomes.

    Science.gov (United States)

    Gerber, Peter Arne; Buhren, Bettina Alexandra; Schrumpf, Holger; Homey, Bernhard; Zlotnik, Albert; Hevezi, Peter

    2014-06-01

    The mouse represents a key model system for the study of the physiology and biochemistry of skin. Comparison of skin between mouse and human is critical for interpretation and application of data from mouse experiments to human disease. Here, we review the current knowledge on structure and immunology of mouse and human skin. Moreover, we present a systematic comparison of human and mouse skin transcriptomes. To this end, we have recently used a genome-wide database of human gene expression to identify genes highly expressed in skin, with no, or limited expression elsewhere - human skin-associated genes (hSAGs). Analysis of our set of hSAGs allowed us to generate a comprehensive molecular characterization of healthy human skin. Here, we used a similar database to generate a list of mouse skin-associated genes (mSAGs). A comparative analysis between the top human (n=666) and mouse (n=873) skin-associated genes (SAGs) revealed a total of only 30.2% identity between the two lists. The majority of shared genes encode proteins that participate in structural and barrier functions. Analysis of the top functional annotation terms revealed an overlap for morphogenesis, cell adhesion, structure, and signal transduction. The results of this analysis, discussed in the context of published data, illustrate the diversity between the molecular make up of skin of both species and grants a probable explanation, why results generated in murine in vivo models often fail to translate into the human.

  12. The promoter analysis of the human C17orf25 gene, a novel chromosome 17p13.3 gene

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The human C17orf25 gene (Accession No. AF177342) is one of thirteen genes cloned from a regiondisplaying a high score of loss of heterozygosity within chromosome 17p13.3 in human hepatocellular car-cinoma in China[1]. To unveil the underlying mechanisms for the transcription regulation of this gene andunderstand its implication to the hepatocellular carcinogenesis, we looked into the relevant aspects by bothbioinformatic and experimental executions. We found: 1, The abundant expression of the C17orf25 genewas evident in all the cell lines and tissue samples tested, showing little hepatoma-selectivity; 2, Its tran-scription starts at a single site, locating at -60 from the translation initiation codon; 3, A 58 bp fragmentcontaining the transcription start, extending from -112 to -55, represents the minimal promoter; 4, Theconsensus sequence within this fragment recognized by SP1 contributes predominantly to the activity of theminimal promoter; 5, The bioinformatic analysis suggests that the C17orf25 gene may encode a protein inthe family of the glyoxalase. Our data has provided some deep insight into both function and regulation ofthe C17orf25 gene in the context of the normal liver and hepatocellular carcinoma.

  13. GIFtS: annotation landscape analysis with GeneCards

    Directory of Open Access Journals (Sweden)

    Dalah Irina

    2009-10-01

    Full Text Available Abstract Background Gene annotation is a pivotal component in computational genomics, encompassing prediction of gene function, expression analysis, and sequence scrutiny. Hence, quantitative measures of the annotation landscape constitute a pertinent bioinformatics tool. GeneCards® is a gene-centric compendium of rich annotative information for over 50,000 human gene entries, building upon 68 data sources, including Gene Ontology (GO, pathways, interactions, phenotypes, publications and many more. Results We present the GeneCards Inferred Functionality Score (GIFtS which allows a quantitative assessment of a gene's annotation status, by exploiting the unique wealth and diversity of GeneCards information. The GIFtS tool, linked from the GeneCards home page, facilitates browsing the human genome by searching for the annotation level of a specified gene, retrieving a list of genes within a specified range of GIFtS value, obtaining random genes with a specific GIFtS value, and experimenting with the GIFtS weighting algorithm for a variety of annotation categories. The bimodal shape of the GIFtS distribution suggests a division of the human gene repertoire into two main groups: the high-GIFtS peak consists almost entirely of protein-coding genes; the low-GIFtS peak consists of genes from all of the categories. Cluster analysis of GIFtS annotation vectors provides the classification of gene groups by detailed positioning in the annotation arena. GIFtS also provide measures which enable the evaluation of the databases that serve as GeneCards sources. An inverse correlation is found (for GIFtS>25 between the number of genes annotated by each source, and the average GIFtS value of genes associated with that source. Three typical source prototypes are revealed by their GIFtS distribution: genome-wide sources, sources comprising mainly highly annotated genes, and sources comprising mainly poorly annotated genes. The degree of accumulated knowledge for a

  14. Integrated analysis of gene expression by association rules discovery

    Directory of Open Access Journals (Sweden)

    Carazo Jose M

    2006-02-01

    Full Text Available Abstract Background Microarray technology is generating huge amounts of data about the expression level of thousands of genes, or even whole genomes, across different experimental conditions. To extract biological knowledge, and to fully understand such datasets, it is essential to include external biological information about genes and gene products to the analysis of expression data. However, most of the current approaches to analyze microarray datasets are mainly focused on the analysis of experimental data, and external biological information is incorporated as a posterior process. Results In this study we present a method for the integrative analysis of microarray data based on the Association Rules Discovery data mining technique. The approach integrates gene annotations and expression data to discover intrinsic associations among both data sources based on co-occurrence patterns. We applied the proposed methodology to the analysis of gene expression datasets in which genes were annotated with metabolic pathways, transcriptional regulators and Gene Ontology categories. Automatically extracted associations revealed significant relationships among these gene attributes and expression patterns, where many of them are clearly supported by recently reported work. Conclusion The integration of external biological information and gene expression data can provide insights about the biological processes associated to gene expression programs. In this paper we show that the proposed methodology is able to integrate multiple gene annotations and expression data in the same analytic framework and extract meaningful associations among heterogeneous sources of data. An implementation of the method is included in the Engene software package.

  15. Phylogenetic analysis of cubilin (CUBN) gene.

    Science.gov (United States)

    Shaik, Abjal Pasha; Alsaeed, Abbas H; Kiranmayee, S; Bammidi, Vk; Sultana, Asma

    2013-01-01

    Cubilin, (CUBN; also known as intrinsic factor-cobalamin receptor [Homo sapiens Entrez Pubmed ref NM_001081.3; NG_008967.1; GI: 119606627]), located in the epithelium of intestine and kidney acts as a receptor for intrinsic factor - vitamin B12 complexes. Mutations in CUBN may play a role in autosomal recessive megaloblastic anemia. The current study investigated the possible role of CUBN in evolution using phylogenetic testing. A total of 588 BLAST hits were found for the cubilin query sequence and these hits showed putative conserved domain, CUB superfamily (as on 27(th) Nov 2012). A first-pass phylogenetic tree was constructed to identify the taxa which most often contained the CUBN sequences. Following this, we narrowed down the search by manually deleting sequences which were not CUBN. A repeat phylogenetic analysis of 25 taxa was performed using PhyML, RAxML and TreeDyn softwares to confirm that CUBN is a conserved protein emphasizing its importance as an extracellular domain and being present in proteins mostly known to be involved in development in many chordate taxa but not found in prokaryotes, plants and yeast.. No horizontal gene transfers have been found between different taxa.

  16. Recovery and evolutionary analysis of complete integron gene cassette arrays from Vibrio

    Directory of Open Access Journals (Sweden)

    Gillings Michael R

    2006-01-01

    Full Text Available Abstract Background Integrons are genetic elements capable of the acquisition, rearrangement and expression of genes contained in gene cassettes. Gene cassettes generally consist of a promoterless gene associated with a recombination site known as a 59-base element (59-be. Multiple insertion events can lead to the assembly of large integron-associated cassette arrays. The most striking examples are found in Vibrio, where such cassette arrays are widespread and can range from 30 kb to 150 kb. Besides those found in completely sequenced genomes, no such array has yet been recovered in its entirety. We describe an approach to systematically isolate, sequence and annotate large integron gene cassette arrays from bacterial strains. Results The complete Vibrio sp. DAT722 integron cassette array was determined through the streamlined approach described here. To place it in an evolutionary context, we compare the DAT722 array to known vibrio arrays and performed phylogenetic analyses for all of its components (integrase, 59-be sites, gene cassette encoded genes. It differs extensively in terms of genomic context as well as gene cassette content and organization. The phylogenetic tree of the 59-be sites collectively found in the Vibrio gene cassette pool suggests frequent transfer of cassettes within and between Vibrio species, with slower transfer rates between more phylogenetically distant relatives. We also identify multiple cases where non-integron chromosomal genes seem to have been assembled into gene cassettes and others where cassettes have been inserted into chromosomal locations outside integrons. Conclusion Our systematic approach greatly facilitates the isolation and annotation of large integrons gene cassette arrays. Comparative analysis of the Vibrio sp. DAT722 integron obtained through this approach to those found in other vibrios confirms the role of this genetic element in promoting lateral gene transfer and suggests a high rate of gene

  17. Gene expression profile analysis of human intervertebral disc degeneration

    OpenAIRE

    Kai Chen; Dajiang Wu; Xiaodong Zhu; Haijian Ni; Xianzhao Wei; Ningfang Mao; Yang Xie; Yunfei Niu; Ming Li

    2013-01-01

    In this study, we used microarray analysis to investigate the biogenesis and progression of intervertebral disc degeneration. The gene expression profiles of 37 disc tissue samples obtained from patients with herniated discs and degenerative disc disease collected by the National Cancer Institute Cooperative Tissue Network were analyzed. Differentially expressed genes between more and less degenerated discs were identified by significant analysis of microarray. A total of 555 genes were signi...

  18. Economic solvency in the context of violence against women: a concept analysis.

    Science.gov (United States)

    Gilroy, Heidi; Symes, Lene; McFarlane, Judith

    2015-03-01

    The aim of this concept analysis is to define economic solvency in the context of violence against women. Poverty, or lack of resources, is often discussed as a risk factor for intimate partner violence. The concept of economic solvency, which may be a protective factor for women, is less often discussed and not well defined. Databases searched for the analysis included EBSCOhost, CINAHL, PubMed and Gender Watch. The Rodgers evolutionary method was used to perform the concept analysis. A total of 134 articles were retrieved, using the specified search terms 'economic solvency and women', 'economic self-reliance and women' and 'economic self-sufficiency and women'. Articles were included if they were peer reviewed, contained the keywords with sufficient context to determine the author's intended meaning, and focused on women only or contrasted men to women. Thirty-five articles were used in the concept analysis. The definition of economic solvency drawn from the concept analysis is: a long-term state that occurs when there is societal structure that supports gender equity and external resources are available and can be used by a woman who has necessary human capital, sustainable employment and independence. Just as poverty and violence are cyclical, so are economic solvency and empowerment of women. To decrease women's risk of intimate partner violence around the world and further improve the status of women, we recommend continued research on economic solvency, including the individual, family, community and societal resources required to obtain economic solvency and the human capital characteristics needed for sustainability. © 2014 John Wiley & Sons Ltd.

  19. Single-Cell and Single-Molecule Analysis of Gene Expression Regulation

    Science.gov (United States)

    Vera, Maria; Biswas, Jeetayu; Senecal, Adrien

    2016-01-01

    Recent advancements in single-cell and single-molecule imaging technologies have resolved biological processes in time and space that are fundamental to understanding the regulation of gene expression. Observations of single-molecule events in their cellular context have revealed highly dynamic aspects of transcriptional and post-transcriptional control in eukaryotic cells. This approach can relate transcription with mRNA abundance and lifetimes. Another key aspect of single-cell analysis is the cell-to-cell variability among populations of cells. Definition of heterogeneity has revealed stochastic processes, determined characteristics of under-represented cell types or transitional states, and integrated cellular behaviors in the context of multicellular organisms. In this review, we discuss novel aspects of gene expression of eukaryotic cells and multicellular organisms revealed by the latest advances in single-cell and single-molecule imaging technology. PMID:27893965

  20. A method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elements

    Directory of Open Access Journals (Sweden)

    Hicks Chindo

    2010-01-01

    Full Text Available Abstract Background Polymorphic variants and mutations disrupting canonical splicing isoforms are among the leading causes of human hereditary disorders. While there is a substantial evidence of aberrant splicing causing Mendelian diseases, the implication of such events in multi-genic disorders is yet to be well understood. We have developed a new tool (SpliceScan II for predicting the effects of genetic variants on splicing and cis-regulatory elements. The novel Bayesian non-canonical 5'GC splice site (SS sensor used in our tool allows inference on non-canonical exons. Results Our tool performed favorably when compared with the existing methods in the context of genes linked to the Autism Spectrum Disorder (ASD. SpliceScan II was able to predict more aberrant splicing isoforms triggered by the mutations, as documented in DBASS5 and DBASS3 aberrant splicing databases, than other existing methods. Detrimental effects behind some of the polymorphic variations previously associated with Alzheimer's and breast cancer could be explained by changes in predicted splicing patterns. Conclusions We have developed SpliceScan II, an effective and sensitive tool for predicting the detrimental effects of genomic variants on splicing leading to Mendelian and complex hereditary disorders. The method could potentially be used to screen resequenced patient DNA to identify de novo mutations and polymorphic variants that could contribute to a genetic disorder.

  1. A Brief Analysis on the Construction of Context and Conversation in Middle School Teaching

    Institute of Scientific and Technical Information of China (English)

    钱雪颜

    2015-01-01

    Context is important in communication and conversation.Without a certain context we don’t know what the speaker is talking about.So it is necessary for us to make clear the relationship between context and conversation.In this paper I will discuss what is context,the characteristics of it and how it affects conversation.

  2. Opportunities and limits of the one gene approach: the ability of Atoh1 to differentiate and maintain hair cells depends on the molecular context.

    Directory of Open Access Journals (Sweden)

    Israt eJahan

    2015-02-01

    Full Text Available Atoh1 (Math1 was the first gene discovered in ear development that showed no hair cell (HC differentiation when absent and could induce HC differentiation when misexpressed. These data implied that Atoh1 was both necessary and sufficient for hair cell development. However, other gene mutations also result in loss of initially forming HCs, notably null mutants for Pou4f3, Barhl1 and Gfi1. HC development and maintenance also depend on the expression of other genes (Sox2, Eya1, Gata3, Pax2 and several genes have been identified that can induce HCs when misexpressed (Jag1 or knocked out (Lmo4. In the ear Atoh1 is not only expressed in HCs but also in some supporting cells and neurons that do not differentiate into HCs. Simple removal of one gene, Neurod1, can de-repress Atoh1 and turns those neurons into HCs suggesting that Neurod1 blocks Atoh1 function in neurons. Atoh1 expression in inner pillar cells may also be blocked by too many Hes/Hey factors but conversion into HCs has only partially been achieved through Hes/Hey removal. Detailed analysis of cell cycle exit confirmed an apex to base cell cycle exit progression of HCs of the organ of Corti. In contrast, Atoh1 expression progresses from the base towards the apex with a variable delay relative to the cell cycle exit. Most HCs exit the cell cycle and are thus defined as precursors before Atoh1 is expressed. Atoh1 is a potent differentiation factor but can differentiate and maintain HCs only in the ear and when other factors are co-expressed. Upstream factors are essential to regulate Atoh1 level of expression duration while downstream, co-activated by other factors, will define the context of Atoh1 action. We suggest that these insights need to be taken into consideration and approaches beyond the simple Atoh1 expression need to be designed able to generate the radial and longitudinal variations in hair cell types for normal function of the organ of Corti.

  3. Bioinformatics analysis of estrogen-responsive genes

    Science.gov (United States)

    Handel, Adam E.

    2016-01-01

    Estrogen is a steroid hormone that plays critical roles in a myriad of intracellular pathways. The expression of many genes is regulated through the steroid hormone receptors ESR1 and ESR2. These bind to DNA and modulate the expression of target genes. Identification of estrogen target genes is greatly facilitated by the use of transcriptomic methods, such as RNA-seq and expression microarrays, and chromatin immunoprecipitation with massively parallel sequencing (ChIP-seq). Combining transcriptomic and ChIP-seq data enables a distinction to be drawn between direct and indirect estrogen target genes. This chapter will discuss some methods of identifying estrogen target genes that do not require any expertise in programming languages or complex bioinformatics. PMID:26585125

  4. Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues.

    Science.gov (United States)

    Kosti, Idit; Jain, Nishant; Aran, Dvir; Butte, Atul J; Sirota, Marina

    2016-05-04

    The central dogma of molecular biology describes the translation of genetic information from mRNA to protein, but does not specify the quantitation or timing of this process across the genome. We have analyzed protein and gene expression in a diverse set of human tissues. To study concordance and discordance of gene and protein expression, we integrated mass spectrometry data from the Human Proteome Map project and RNA-Seq measurements from the Genotype-Tissue Expression project. We analyzed 16,561 genes and the corresponding proteins in 14 tissue types across nearly 200 samples. A comprehensive tissue- and gene-specific analysis revealed that across the 14 tissues, correlation between mRNA and protein expression was positive and ranged from 0.36 to 0.5. We also identified 1,012 genes whose RNA and protein expression was correlated across all the tissues and examined genes and proteins that were concordantly and discordantly expressed for each tissue of interest. We extended our analysis to look for genes and proteins that were differentially correlated in cancer compared to normal tissues, showing higher levels of correlation in normal tissues. Finally, we explored the implications of these findings in the context of biomarker and drug target discovery.

  5. The Clinical Isolate Pseudomonas aeruginosa MMA83 Carries Two Copies of the blaNDM-1 Gene in a Novel Genetic Context

    OpenAIRE

    Jovčić, Branko; Lepsanović, Zorica; Begović, Jelena; Rakonjac, Bojan; Perovanović, Jelena; Topisirović, Ljubiša; Kojić, Milan

    2013-01-01

    The genetic context of the blaNDM-1 gene in the genome of Pseudomonas aeruginosa MMA83 was investigated. Sequencing of the cosmid selected for the blaNDM-1 gene revealed the presence of two blaNDM-1 copies in the genome of P. aeruginosa MMA83 in a unique genetic environment. Additionally, mating assays, DNA-DNA hybridization, and an S1 nuclease assay strongly suggest that the blaNDM-1 gene in P. aeruginosa MMA83 is chromosome borne.

  6. The Context of Current Content Analysis of Gender Roles: An Introduction to a Special Issue.

    Science.gov (United States)

    Rudy, Rena M; Popova, Lucy; Linz, Daniel G

    2010-06-01

    The aim of this paper is to provide context for the quantitative content analyses of gender roles that are to be included in both parts of this special issue. First, a timeline of historical uses of the content analysis methodology is presented. Second, research objectives that frequently drive content analysis of gender roles are described; these include: to support feminist claims, to compare media with real life, to predict effects on audiences, and to detect effects of media producers on content. Third, previous content analyses published in Sex Roles and other gender-focused journals are reviewed and categorized in terms of medium, genre, time span, gender, and nationality. Finally, contributions of each of the articles in this special issue are outlined.

  7. The Context of Current Content Analysis of Gender Roles: An Introduction to a Special Issue

    Science.gov (United States)

    Popova, Lucy; Linz, Daniel G.

    2010-01-01

    The aim of this paper is to provide context for the quantitative content analyses of gender roles that are to be included in both parts of this special issue. First, a timeline of historical uses of the content analysis methodology is presented. Second, research objectives that frequently drive content analysis of gender roles are described; these include: to support feminist claims, to compare media with real life, to predict effects on audiences, and to detect effects of media producers on content. Third, previous content analyses published in Sex Roles and other gender-focused journals are reviewed and categorized in terms of medium, genre, time span, gender, and nationality. Finally, contributions of each of the articles in this special issue are outlined. PMID:20694031

  8. Analysis of multiplex gene expression maps obtained by voxelation

    Directory of Open Access Journals (Sweden)

    Smith Desmond J

    2009-04-01

    Full Text Available Abstract Background Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological disease. Researchers have previously used voxelation in combination with microarrays for acquisition of genome-wide atlases of expression patterns in the mouse brain. On the other hand, some work has been performed on studying gene functions, without taking into account the location information of a gene's expression in a mouse brain. In this paper, we present an approach for identifying the relation between gene expression maps obtained by voxelation and gene functions. Results To analyze the dataset, we chose typical genes as queries and aimed at discovering similar gene groups. Gene similarity was determined by using the wavelet features extracted from the left and right hemispheres averaged gene expression maps, and by the Euclidean distance between each pair of feature vectors. We also performed a multiple clustering approach on the gene expression maps, combined with hierarchical clustering. Among each group of similar genes and clusters, the gene function similarity was measured by calculating the average gene function distances in the gene ontology structure. By applying our methodology to find similar genes to certain target genes we were able to improve our understanding of gene expression patterns and gene functions. By applying the clustering analysis method, we obtained significant clusters, which have both very similar gene expression maps and very similar gene functions respectively to their corresponding gene ontologies. The cellular component ontology resulted in prominent clusters expressed in cortex and corpus callosum. The molecular function ontology gave prominent clusters in cortex, corpus callosum and hypothalamus. The biological process ontology resulted in clusters in cortex, hypothalamus and choroid plexus. Clusters from all three ontologies combined were most prominently expressed in

  9. Heat-inducible RNAi for gene functional analysis in plants.

    Science.gov (United States)

    Masclaux, Frédéric; Galaud, Jean-Philippe

    2011-01-01

    Controlling gene expression during plant development is an efficient method to explore gene function and RNA interference (RNAi) is now considered as a powerful technology for gene functional analysis. However, constitutive gene silencing cannot be used with genes involved in fundamental processes such as embryo viability or plant growth and alternative silencing strategies avoiding these limitations should be preferred. Tissue-specific and inducible promoters, able to control gene expression at spatial and/or temporal level, can be used to circumvent viability problems. In this chapter, after a rapid overview of the inducible promoters currently used for transgenic approaches in plants, we describe a method we have developed to study gene function by heat-inducible RNAi. This system is easy to use and complementary to those based on chemical gene inducer treatments and might be useful for both research and biotechnological applications.

  10. Database for exchangeable gene trap clones: pathway and gene ontology analysis of exchangeable gene trap clone mouse lines.

    Science.gov (United States)

    Araki, Masatake; Nakahara, Mai; Muta, Mayumi; Itou, Miharu; Yanai, Chika; Yamazoe, Fumika; Miyake, Mikiko; Morita, Ayaka; Araki, Miyuki; Okamoto, Yoshiyuki; Nakagata, Naomi; Yoshinobu, Kumiko; Yamamura, Ken-ichi; Araki, Kimi

    2014-02-01

    Gene trapping in embryonic stem (ES) cells is a proven method for large-scale random insertional mutagenesis in the mouse genome. We have established an exchangeable gene trap system, in which a reporter gene can be exchanged for any other DNA of interest through Cre/mutant lox-mediated recombination. We isolated trap clones, analyzed trapped genes, and constructed the database for Exchangeable Gene Trap Clones (EGTC) [http://egtc.jp]. The number of registered ES cell lines was 1162 on 31 August 2013. We also established 454 mouse lines from trap ES clones and deposited them in the mouse embryo bank at the Center for Animal Resources and Development, Kumamoto University, Japan. The EGTC database is the most extensive academic resource for gene-trap mouse lines. Because we used a promoter-trap strategy, all trapped genes were expressed in ES cells. To understand the general characteristics of the trapped genes in the EGTC library, we used Kyoto Encyclopedia of Genes and Genomes (KEGG) for pathway analysis and found that the EGTC ES clones covered a broad range of pathways. We also used Gene Ontology (GO) classification data provided by Mouse Genome Informatics (MGI) to compare the functional distribution of genes in each GO term between trapped genes in the EGTC mouse lines and total genes annotated in MGI. We found the functional distributions for the trapped genes in the EGTC mouse lines and for the RefSeq genes for the whole mouse genome were similar, indicating that the EGTC mouse lines had trapped a wide range of mouse genes. © 2014 The Authors Development, Growth & Differentiation © 2014 Japanese Society of Developmental Biologists.

  11. The limitations of simple gene set enrichment analysis assuming gene independence.

    Science.gov (United States)

    Tamayo, Pablo; Steinhardt, George; Liberzon, Arthur; Mesirov, Jill P

    2016-02-01

    Since its first publication in 2003, the Gene Set Enrichment Analysis method, based on the Kolmogorov-Smirnov statistic, has been heavily used, modified, and also questioned. Recently a simplified approach using a one-sample t-test score to assess enrichment and ignoring gene-gene correlations was proposed by Irizarry et al. 2009 as a serious contender. The argument criticizes Gene Set Enrichment Analysis's nonparametric nature and its use of an empirical null distribution as unnecessary and hard to compute. We refute these claims by careful consideration of the assumptions of the simplified method and its results, including a comparison with Gene Set Enrichment Analysis's on a large benchmark set of 50 datasets. Our results provide strong empirical evidence that gene-gene correlations cannot be ignored due to the significant variance inflation they produced on the enrichment scores and should be taken into account when estimating gene set enrichment significance. In addition, we discuss the challenges that the complex correlation structure and multi-modality of gene sets pose more generally for gene set enrichment methods.

  12. Genome-wide analysis of homeobox gene family in legumes: identification, gene duplication and expression profiling.

    Science.gov (United States)

    Bhattacharjee, Annapurna; Ghangal, Rajesh; Garg, Rohini; Jain, Mukesh

    2015-01-01

    Homeobox genes encode transcription factors that are known to play a major role in different aspects of plant growth and development. In the present study, we identified homeobox genes belonging to 14 different classes in five legume species, including chickpea, soybean, Medicago, Lotus and pigeonpea. The characteristic differences within homeodomain sequences among various classes of homeobox gene family were quite evident. Genome-wide expression analysis using publicly available datasets (RNA-seq and microarray) indicated that homeobox genes are differentially expressed in various tissues/developmental stages and under stress conditions in different legumes. We validated the differential expression of selected chickpea homeobox genes via quantitative reverse transcription polymerase chain reaction. Genome duplication analysis in soybean indicated that segmental duplication has significantly contributed in the expansion of homeobox gene family. The Ka/Ks ratio of duplicated homeobox genes in soybean showed that several members of this family have undergone purifying selection. Moreover, expression profiling indicated that duplicated genes might have been retained due to sub-functionalization. The genome-wide identification and comprehensive gene expression profiling of homeobox gene family members in legumes will provide opportunities for functional analysis to unravel their exact role in plant growth and development.

  13. A GeneTrek analysis of the maize genome.

    Science.gov (United States)

    Liu, Renyi; Vitte, Clémentine; Ma, Jianxin; Mahama, A Assibi; Dhliwayo, Thanda; Lee, Michael; Bennetzen, Jeffrey L

    2007-07-10

    Analysis of the sequences of 74 randomly selected BACs demonstrated that the maize nuclear genome contains approximately 37,000 candidate genes with homologues in other plant species. An additional approximately 5,500 predicted genes are severely truncated and probably pseudogenes. The distribution of genes is uneven, with approximately 30% of BACs containing no genes. BAC gene density varies from 0 to 7.9 per 100 kb, whereas most gene islands contain only one gene. The average number of genes per gene island is 1.7. Only 72% of these genes show collinearity with the rice genome. Particular LTR retrotransposon families (e.g., Gyma) are enriched on gene-free BACs, most of which do not come from pericentromeres or other large heterochromatic regions. Gene-containing BACs are relatively enriched in different families of LTR retrotransposons (e.g., Ji). Two major bursts of LTR retrotransposon activity in the last 2 million years are responsible for the large size of the maize genome, but only the more recent of these is well represented in gene-containing BACs, suggesting that LTR retrotransposons are more efficiently removed in these domains. The results demonstrate that sample sequencing and careful annotation of a few randomly selected BACs can provide a robust description of a complex plant genome.

  14. Rice Transcriptome Analysis to Identify Possible Herbicide Quinclorac Detoxification Genes

    Directory of Open Access Journals (Sweden)

    Wenying eXu

    2015-09-01

    Full Text Available Quinclorac is a highly selective auxin-type herbicide, and is widely used in the effective control of barnyard grass in paddy rice fields, improving the world’s rice yield. The herbicide mode of action of quinclorac has been proposed and hormone interactions affect quinclorac signaling. Because of widespread use, quinclorac may be transported outside rice fields with the drainage waters, leading to soil and water pollution and environmental health problems.In this study, we used 57K Affymetrix rice whole-genome array to identify quinclorac signaling response genes to study the molecular mechanisms of action and detoxification of quinclorac in rice plants. Overall, 637 probe sets were identified with differential expression levels under either 6 or 24 h of quinclorac treatment. Auxin-related genes such as GH3 and OsIAAs responded to quinclorac treatment. Gene Ontology analysis showed that genes of detoxification-related family genes were significantly enriched, including cytochrome P450, GST, UGT, and ABC and drug transporter genes. Moreover, real-time RT-PCR analysis showed that top candidate P450 families such as CYP81, CYP709C and CYP72A genes were universally induced by different herbicides. Some Arabidopsis genes for the same P450 family were up-regulated under quinclorac treatment.We conduct rice whole-genome GeneChip analysis and the first global identification of quinclorac response genes. This work may provide potential markers for detoxification of quinclorac and biomonitors of environmental chemical pollution.

  15. Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer

    Directory of Open Access Journals (Sweden)

    Yun-Xia Zhang

    2016-01-01

    Full Text Available Purpose. The objective of our study was to predicate candidate genes in cervical cancer (CC using a network-based strategy and to understand the pathogenic process of CC. Methods. A pathogenic network of CC was extracted based on known pathogenic genes (seed genes and differentially expressed genes (DEGs between CC and normal controls. Subsequently, cluster analysis was performed to identify the subnetworks in the pathogenic network using ClusterONE. Each gene in the pathogenic network was assigned a weight value, and then candidate genes were obtained based on the weight distribution. Eventually, pathway enrichment analysis for candidate genes was performed. Results. In this work, a total of 330 DEGs were identified between CC and normal controls. From the pathogenic network, 2 intensely connected clusters were extracted, and a total of 52 candidate genes were detected under the weight values greater than 0.10. Among these candidate genes, VIM had the highest weight value. Moreover, candidate genes MMP1, CDC45, and CAT were, respectively, enriched in pathway in cancer, cell cycle, and methane metabolism. Conclusion. Candidate pathogenic genes including MMP1, CDC45, CAT, and VIM might be involved in the pathogenesis of CC. We believe that our results can provide theoretical guidelines for future clinical application.

  16. Using Habitat Equivalency Analysis to Assess the Cost Effectiveness of Restoration Outcomes in Four Institutional Contexts

    Science.gov (United States)

    Scemama, Pierre; Levrel, Harold

    2016-01-01

    At the national level, with a fixed amount of resources available for public investment in the restoration of biodiversity, it is difficult to prioritize alternative restoration projects. One way to do this is to assess the level of ecosystem services delivered by these projects and to compare them with their costs. The challenge is to derive a common unit of measurement for ecosystem services in order to compare projects which are carried out in different institutional contexts having different goals (application of environmental laws, management of natural reserves, etc.). This paper assesses the use of habitat equivalency analysis (HEA) as a tool to evaluate ecosystem services provided by restoration projects developed in different institutional contexts. This tool was initially developed to quantify the level of ecosystem services required to compensate for non-market impacts coming from accidental pollution in the US. In this paper, HEA is used to assess the cost effectiveness of several restoration projects in relation to different environmental policies, using case studies based in France. Four case studies were used: the creation of a market for wetlands, public acceptance of a port development project, the rehabilitation of marshes to mitigate nitrate loading to the sea, and the restoration of streams in a protected area. Our main conclusion is that HEA can provide a simple tool to clarify the objectives of restoration projects, to compare the cost and effectiveness of these projects, and to carry out trade-offs, without requiring significant amounts of human or technical resources.

  17. Couches decorated with bone and ivory: an analysis of findings in habitative and funerary contexts

    Directory of Open Access Journals (Sweden)

    Chiara Bianchi

    2010-07-01

    Full Text Available Normal 0 14 This article analyses a particular class of Roman Age furnishings: couches decorated with bone and ivory, so as to indicate their typological features and the area of their diffusion. Furthermore, differently from what has been discussed only marginally in the past, a distinction has been made between examples coming from dwellings and those from a funerary context in order to identify the specific characteristics of each particular type. A census of couch in bone and ivory originating in non-funerary contexts, which may have been used as dining couches in the triclinium or as sleeping beds in cubiculi in the domus, has shown that examples are rather rare and almost exclusively comprised of rising head and foot boards, the finials in particular; these were predominantly of two types: heads of waterbirds and Silenus heads. A more detailed analysis of findings has been made for the Cisalpine area with a direct comparison between those found in necropolis and those coming from a domestic environment. (traduzione di Virginia Ridsdale.

  18. Broken Robustness Analysis: How to make proper climate change conclusions in contradictory multimodal measurement contexts.

    Science.gov (United States)

    Keyser, V.

    2015-12-01

    Philosophers of science discuss how multiple modes of measurement can generate evidence for the existence and character of a phenomenon (Horwich 1982; Hacking 1983; Franklin and Howson 1984; Collins 1985; Sober 1989; Trout 1993; Culp 1995; Keeley 2002; Staley 2004; Weber 2005; Keyser 2012). But how can this work systematically in climate change measurement? Additionally, what conclusions can scientists and policy-makers draw when different modes of measurement fail to be robust by producing contradictory results? First, I present a new technical account of robust measurement (RAMP) that focuses on the physical independence of measurement processes. I detail how physically independent measurement processes "check each other's results." (This account is in contrast to philosophical accounts of robustness analysis that focus on independent model assumptions or independent measurement products or results.) Second, I present a puzzle about contradictory and divergent climate change measures, which has consistently re-emerged in climate measurement. This discussion will focus on land, drilling, troposphere, and computer simulation measures. Third, to systematically solve this climate measurement puzzle, I use RAMP in the context of drought measurement in order to generate a classification of measurement processes. Here, I discuss how multimodal precipitation measures—e.g., measures of precipitation deficit like the Standard Precipitation Index vs. air humidity measures like the Standardized Relative Humidity Index--can help with the classification scheme of climate change measurement processes. Finally, I discuss how this classification of measures can help scientists and policy-makers draw effective conclusions in contradictory multimodal climate change measurement contexts.

  19. AnGeLi: A Tool for the Analysis of Gene Lists from Fission Yeast

    Directory of Open Access Journals (Sweden)

    Danny A Bitton

    2015-11-01

    Full Text Available Genome-wide assays and screens typically result in large lists of genes or proteins. Enrichments of functional or other biological properties within such lists can provide valuable insights and testable hypotheses. To systematically detect these enrichments can be challenging and time-consuming, because relevant data to compare against query gene lists are spread over many different sources. We have developed AnGeLi (Analysis of Gene Lists, an intuitive, integrated web-tool for comprehensive and customized interrogation of gene lists from the fission yeast, Schizosaccharomyces pombe. AnGeLi searches for significant enrichments among multiple qualitative and quantitative information sources, including gene and phenotype ontologies, genetic and protein interactions, numerous features of genes, transcripts, translation, and proteins such as copy numbers, chromosomal positions, genetic diversity, RNA polymerase II and ribosome occupancy, localization, conservation, half-lives, domains and molecular weight among others, as well as diverse sets of genes that are co-regulated or lead to the same phenotypes when mutated. AnGeLi uses robust statistics which can be tailored to specific needs. It also provides the option to upload user-defined gene sets to compare against the query list. Through an integrated data submission form, AnGeLi encourages the community to contribute additional curated gene lists to further increase the usefulness of this resource and to get the most from the ever increasing large-scale experiments. AnGeLi offers a rigorous yet flexible statistical analysis platform for rich insights into functional enrichments and biological context for query gene lists, thus providing a powerful exploratory tool through which S. pombe researchers can uncover fresh perspectives and unexpected connections from genomic data. AnGeLi is freely available at: www.bahlerlab.info/AnGeLi

  20. Predicting RNA Secondary Structure Using Profile Stochastic Context-Free Grammars and Phylogenic Analysis

    Institute of Scientific and Technical Information of China (English)

    Xiao-Yong Fang; Zhi-Gang Luo; Zheng-Hua Wang

    2008-01-01

    Stochastic context-free grammars (SCFGs) have been applied to predicting RNA secondary structure. The prediction of RNA secondary structure can be facilitated by incorporating with comparative sequence analysis. However,most of existing SCFG-based methods lack explicit phylogenic analysis of homologous RNA sequences, which is probably the reason why these methods are not ideal in practical application. Hence, we present a new SCFG-based method by integrating phylogenic analysis with the newly defined profile SCFG. The method can be summarized as: 1) we define a new profile SCFG, M, to depict consensus secondary structure of multiple RNA sequence alignment; 2) we introduce two distinct hidden Markov models, λ and λ', to perform phylogenic analysis of homologous RNA sequences. Here, λ is for non-structural regions of the sequence and λ' is for structural regions of the sequence; 3) we mergeλ and λ' in to M todevise a combined model for prediction of RNA secondary structure. We tested our method on data sets constructed from the Rfam database. The sensitivity and specificity of our method are more accurate than those of the predictions by Pfold.

  1. Health systems context(s) for integrating mental health into primary health care in six Emerald countries: a situation analysis.

    Science.gov (United States)

    Mugisha, James; Abdulmalik, Jibril; Hanlon, Charlotte; Petersen, Inge; Lund, Crick; Upadhaya, Nawaraj; Ahuja, Shalini; Shidhaye, Rahul; Mntambo, Ntokozo; Alem, Atalay; Gureje, Oye; Kigozi, Fred

    2017-01-01

    Mental, neurological and substance use disorders contribute to a significant proportion of the world's disease burden, including in low and middle income countries (LMICs). In this study, we focused on the health systems required to support integration of mental health into primary health care (PHC) in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda. A checklist guided by the World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS) was developed and was used for data collection in each of the six countries participating in the Emerging mental health systems in low and middle-income countries (Emerald) research consortium. The documents reviewed were from the following domains: mental health legislation, health policies/plans and relevant country health programs. Data were analyzed using thematic content analysis. Three of the study countries (Ethiopia, Nepal, Nigeria, and Uganda) were working towards developing mental health legislation. South Africa and India were ahead of other countries, having enacted recent Mental Health Care Act in 2004 and 2016, respectively. Among all the 6 study countries, only Nepal, Nigeria and South Africa had a standalone mental health policy. However, other countries had related health policies where mental health was mentioned. The lack of fully fledged policies is likely to limit opportunities for resource mobilization for the mental health sector and efforts to integrate mental health into PHC. Most countries were found to be allocating inadequate budgets from the health budget for mental health, with South Africa (5%) and Nepal (0.17%) were the countries with the highest and lowest proportions of health budgets spent on mental health, respectively. Other vital resources that support integration such as human resources and health facilities for mental health services were found to be in adequate in all the study countries. Monitoring and evaluation systems to support the integration of mental

  2. A DSRPCL-SVM Approach to Informative Gene Analysis

    Institute of Scientific and Technical Information of China (English)

    Wei Xiong; Zhibin Cai; Jinwen Ma

    2008-01-01

    Microarray data based tumor diagnosis is a very interesting topic in bioinformatics. One of the key problems is the discovery and analysis of informative genes of a tumor. Although there are many elaborate approaches to this problem, it is still difficult to select a reasonable set of informative genes for tumor diagnosis only with microarray data. In this paper, we classify the genes expressed through microarray data into a number of clusters via the distance sensitive rival penalized competitive learning (DSRPCL) algorithm and then detect the informative gene cluster or set with the help of support vector machine (SVM). Moreover, the critical or powerful informative genes can be found through further classifications and detections on the obtained informative gene clusters. It is well demonstrated by experiments on the colon, leukemia, and breast cancer datasets that our proposed DSRPCL-SVM approach leads to a reasonable selection of informative genes for tumor diagnosis.

  3. Bioinformatics analysis of the gene expression profile in Bladder carcinoma

    Directory of Open Access Journals (Sweden)

    Jing Xiao

    2013-01-01

    Full Text Available Bladder carcinoma, which has the ninth highest incidence among malignant tumors in the world, is a complex, multifactorial disease. The malignant transformation of bladder cells results from DNA mutations and alterations in gene expression levels. In this work, we used a bioinformatics approach to investigate the molecular mechanisms of bladder carcinoma. Biochips downloaded from the Gene Expression Omnibus (GEO were used to analyze the gene expression profile in urinary bladder cells from individuals with carcinoma. The gene expression profile of normal genomes was used as a control. The analysis of gene expression revealed important alterations in genes involved in biological processes and metabolic pathways. We also identified some small molecules capable of reversing the altered gene expression in bladder carcinoma; these molecules could provide a basis for future therapies for the treatment of this disease.

  4. Serial Analysis of Gene Expression: Applications in Human Studies

    OpenAIRE

    2004-01-01

    Serial analysis of gene expression (SAGE) is a powerful tool, which provides quantitative and comprehensive expression profile of genes in a given cell population. It works by isolating short fragments of genetic information from the expressed genes that are present in the cell being studied. These short sequences, called SAGE tags, are linked together for efficient sequencing. The frequency of each SAGE tag in the cloned multimers directly reflects the transcript abundance. Therefore, SAGE r...

  5. Identification of candidate genes in osteoporosis by integrated microarray analysis

    OpenAIRE

    Li, J J; Wang, B. Q.; Fei, Q.; Yang, Y; Li, D.

    2017-01-01

    Objectives In order to screen the altered gene expression profile in peripheral blood mononuclear cells of patients with osteoporosis, we performed an integrated analysis of the online microarray studies of osteoporosis. Methods We searched the Gene Expression Omnibus (GEO) database for microarray studies of peripheral blood mononuclear cells in patients with osteoporosis. Subsequently, we integrated gene expression data sets from multiple microarray studies to obtain differentially expressed...

  6. Cluster Analysis of Gene Expression Data

    CERN Document Server

    Domany, E

    2002-01-01

    The expression levels of many thousands of genes can be measured simultaneously by DNA microarrays (chips). This novel experimental tool has revolutionized research in molecular biology and generated considerable excitement. A typical experiment uses a few tens of such chips, each dedicated to a single sample - such as tissue extracted from a particular tumor. The results of such an experiment contain several hundred thousand numbers, that come in the form of a table, of several thousand rows (one for each gene) and 50 - 100 columns (one for each sample). We developed a clustering methodology to mine such data. In this review I provide a very basic introduction to the subject, aimed at a physics audience with no prior knowledge of either gene expression or clustering methods. I explain what genes are, what is gene expression and how it is measured by DNA chips. Next I explain what is meant by "clustering" and how we analyze the massive amounts of data from such experiments, and present results obtained from a...

  7. When noisy neighbors are a blessing: analysis of gene expression noise identifies coregulated genes

    NARCIS (Netherlands)

    Junker, J.P.; van Oudenaarden, A.

    2012-01-01

    In this issue of Molecular Cell, Stewart-Ornstein et al. (2012) use systematic pair-wise correlation analysis of expression noise in a large number of yeast genes to identify clusters of functionally related genes and signaling pathways responsible for elevated noise.

  8. An analysis of teacher news in Turkish printed media within the context of teachers’ image

    Directory of Open Access Journals (Sweden)

    Hüseyin Polat

    2016-12-01

    Full Text Available The purpose of this study was to analyze the news about teachers in daily newspapers circulated in Turkey. To this end, the newspapers of Zaman, Posta, Hurriyet, Sabah, and Cumhuriyet were selected and scanned for the teacher news between the dates of 01 January 2014 and 31 December 2014. Document analysis technique was used for the scanned news. The data obtained were expressed in frequencies and percentages according to the aim. News about the teachers was grouped on the basis of type, content, and characteristics and the teacher profile presented from this data was set forth. Teachers are mainly covered in the newspapers in sexual abuse and violence contexts; besides, the teacher profile formed on the basis of newspaper reports was found to be a negative one.

  9. Aspects of incidence of convergence telejournalism: analysis of fragments of context instances Brazilian

    Directory of Open Access Journals (Sweden)

    Eloisa Joseane da Cunha Klein

    2012-12-01

    Full Text Available This text reflects on the affectations of mediatization on the field of journalism in the context of digital convergence, considering changes in news production, shift in the relationship of the actors in the field and with the reception. The text makes preliminary considerations on the ways in which television journalism interacts with digital tools - from partial analysis of how television program Profession Reporter uses such tools. Also stressed are two cases on the affectation of the social uses of digital media on the television news: the first, linked to the impact of a Profession Reporter edition on domestic violence (2009, the second, the impact of a case highlighted in social networks in TV journalism. Thus, we consider the issues of communication circulation, accentuated by digital convergence

  10. Characterization of sample entropy in the context of biomedical signal analysis.

    Science.gov (United States)

    Aboy, Mateo; Cuesta-Frau, David; Austin, Daniel; Mico-Tormos, Pau

    2007-01-01

    Sample Entropy (SampEn) has been proposed as a method to overcome limitations associated with approximate entropy (ApEn). The initial paper describing the SampEn metric included a characterization study comparing both ApEn and SampEn against theoretical results and concluded that SampEn is both more consistent and agrees more closely with theory for known random processes than ApEn. SampEn has been used in several studies to analyze the regularity of clinical and experimental time series. However, questions regarding how to interpret SampEn in certain clinical situations and its relationship to classical signal parameters remain unanswered. In this paper we report the results of a characterization study intended to provide additional insights regarding the interpretability of SampEn in the context of biomedical signal analysis.

  11. Narrative thematic analysis of baccalaureate nursing students' reflections: critical thinking in the clinical education context.

    Science.gov (United States)

    Naber, Jessica L; Hall, Joanne; Schadler, Craig Matthew

    2014-09-01

    This study sought to identify characteristics of clinically situated critical thinking in nursing students' reflections, originally part of a study guided by Richard Paul's model of critical thinking. Nurses are expected to apply critical thinking in all practice situations to improve health outcomes, including patient safety and satisfaction. In a previous study, Paul's model of critical thinking was used to develop questions for reflective writing assignments. Within that study, 30 nursing students completed six open-ended narratives of nurse-patient clinical encounters during an 8-week period. Improvements were seen in critical thinking scores after the intervention. This article reports the qualitative analysis of the content of six open-ended narratives. Six overarching themes were identified and combined into a tentative conceptual model. Faculty's understanding of the characteristics of critical thinking in the context of clinical education will help them to teach and evaluate students' progress and competencies for future practice.

  12. A Framework for an Organic Approach for the Analysis of Institutional Transplants in the Economic Context

    Directory of Open Access Journals (Sweden)

    Dyanko Minchev

    2014-08-01

    Full Text Available Institutional transplants is the name given to formal institutions which are transferred from one institutional setting to another. They are one of the possible channels for institutional change. The success of an institutional transplant depends on its interaction with its new environment. Previous research, based on the methodology of neoclassical economics (and to some extent - of the new institutional economics, is limited in its ability to predict the success of such transplants. We propose a framework for an organic approach for the analysis of institutional transplants in the economic context, which has a potential to overcome these limitations. This could enable policy-makers to take better decisions when undertaking institutional reforms.

  13. AN ANALYSIS OF TURKISH NATIONAL AND MILITARY CULTURE IN THE CONTEXT OF KOREAN WAR

    Directory of Open Access Journals (Sweden)

    Ünsal Sığrı

    2014-12-01

    Full Text Available The aim of this paper is to analyze Turkish national and military culture in the context of Korean War. The Korean War is the first international military contribution of modern Turkish Republic and Turkish Armed Forces. This was the first contact with other countries’ and cultures’ armies since the foundation of the modern republic. Following the war Turkey joined to NATO and became a certain member of western block of cold war era. Turkish troops’ efforts and involvement in the Korean War did not only contribute to independence of Korea but also contributed to the world peace. Turkish military has a cultural background, which mainly stems from sociological and managerial characteristics of Turkish national culture. In this study an analysis of Turkish military culture is made within scope of Korean War according to Hofstede’s (1980 four cultural dimensions

  14. Curating Scientific Research Data for the Long Term: A Preservation Analysis Method in Context

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    Esther Conway

    2011-10-01

    Full Text Available The challenge of digital preservation of scientific data lies in the need to preserve not only the dataset itself but also the ability it has to deliver knowledge to a future user community. A true scientific research asset allows future users to reanalyze the data within new contexts. Thus, in order to carry out meaningful preservation we need to ensure that future users are equipped with the necessary information to re-use the data. This paper presents an overview of a preservation analysis methodology which was developed in response to that need on the CASPAR and Digital Curation Centre SCARP projects. We intend to place it in relation to other digital preservation practices, discussing how they can interact to provide archives caring for scientific data sets with the full arsenal of tools and techniques necessary to rise to this challenge.

  15. Probabilistic cost-benefit analysis of disaster risk management in a development context.

    Science.gov (United States)

    Kull, Daniel; Mechler, Reinhard; Hochrainer-Stigler, Stefan

    2013-07-01

    Limited studies have shown that disaster risk management (DRM) can be cost-efficient in a development context. Cost-benefit analysis (CBA) is an evaluation tool to analyse economic efficiency. This research introduces quantitative, stochastic CBA frameworks and applies them in case studies of flood and drought risk reduction in India and Pakistan, while also incorporating projected climate change impacts. DRM interventions are shown to be economically efficient, with integrated approaches more cost-effective and robust than singular interventions. The paper highlights that CBA can be a useful tool if certain issues are considered properly, including: complexities in estimating risk; data dependency of results; negative effects of interventions; and distributional aspects. The design and process of CBA must take into account specific objectives, available information, resources, and the perceptions and needs of stakeholders as transparently as possible. Intervention design and uncertainties should be qualified through dialogue, indicating that process is as important as numerical results.

  16. Integration Framework for Heterogeneous Analysis Components: Building a Context Aware Virtual Analyst

    Science.gov (United States)

    2014-11-01

    widget—Ozone Widget Framework (OWF) user tab . . . . 13 Figure 8 User context widget—User tab . . . . . . . . . . . . . . . . . . . 14 Figure 9 User...context widget—Context basic information tab . . . . . . . . . . 14 Figure 10 User context widget—User work description tab . . . . . . . . . . . . 15...anomaly occurs, and anticipate such occurrences in the future. It should be able to reconfigure itself in response to contextual changes, and should be

  17. DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis

    Directory of Open Access Journals (Sweden)

    Baseler Michael W

    2007-11-01

    Full Text Available Abstract Background Due to the complex and distributed nature of biological research, our current biological knowledge is spread over many redundant annotation databases maintained by many independent groups. Analysts usually need to visit many of these bioinformatics databases in order to integrate comprehensive annotation information for their genes, which becomes one of the bottlenecks, particularly for the analytic task associated with a large gene list. Thus, a highly centralized and ready-to-use gene-annotation knowledgebase is in demand for high throughput gene functional analysis. Description The DAVID Knowledgebase is built around the DAVID Gene Concept, a single-linkage method to agglomerate tens of millions of gene/protein identifiers from a variety of public genomic resources into DAVID gene clusters. The grouping of such identifiers improves the cross-reference capability, particularly across NCBI and UniProt systems, enabling more than 40 publicly available functional annotation sources to be comprehensively integrated and centralized by the DAVID gene clusters. The simple, pair-wise, text format files which make up the DAVID Knowledgebase are freely downloadable for various data analysis uses. In addition, a well organized web interface allows users to query different types of heterogeneous annotations in a high-throughput manner. Conclusion The DAVID Knowledgebase is designed to facilitate high throughput gene functional analysis. For a given gene list, it not only provides the quick accessibility to a wide range of heterogeneous annotation data in a centralized location, but also enriches the level of biological information for an individual gene. Moreover, the entire DAVID Knowledgebase is freely downloadable or searchable at http://david.abcc.ncifcrf.gov/knowledgebase/.

  18. Assessing the context of health care utilization in Ecuador: A spatial and multilevel analysis

    Directory of Open Access Journals (Sweden)

    Chi Chunhuei

    2010-03-01

    Full Text Available Abstract Background There are few studies that have analyzed the context of health care utilization, particularly in Latin America. This study examines the context of utilization of health services in Ecuador; focusing on the relationship between provision of services and use of both preventive and curative services. Methods This study is cross-sectional and analyzes data from the 2004 National Demographic and Maternal & Child Health dataset. Provider variables come from the Ecuadorian System of Social Indicators (SIISE. Global Moran's I statistic is used to assess spatial autocorrelation of the provider variables. Multilevel modeling is used for the simultaneous analysis of provision of services at the province-level with use of services at the individual level. Results Spatial analysis indicates no significant differences in the density of health care providers among Ecuadorian provinces. After adjusting for various predisposing, enabling, need factors and interaction terms, density of public practice health personnel was positively associated with use of preventive care, particularly among rural households. On the other hand, density of private practice physicians was positively associated with use of curative care, particularly among urban households. Conclusions There are significant public/private, urban/rural gaps in provision of services in Ecuador; which in turn affect people's use of services. It is necessary to strengthen the public health care delivery system (which includes addressing distribution of health workers and national health information systems. These efforts could improve access to health care, and inform the civil society and policymakers on the advances of health care reform.

  19. Bioinformatics analysis and detection of gelatinase encoded gene in Lysinibacillussphaericus

    Science.gov (United States)

    Repin, Rul Aisyah Mat; Mutalib, Sahilah Abdul; Shahimi, Safiyyah; Khalid, Rozida Mohd.; Ayob, Mohd. Khan; Bakar, Mohd. Faizal Abu; Isa, Mohd Noor Mat

    2016-11-01

    In this study, we performed bioinformatics analysis toward genome sequence of Lysinibacillussphaericus (L. sphaericus) to determine gene encoded for gelatinase. L. sphaericus was isolated from soil and gelatinase species-specific bacterium to porcine and bovine gelatin. This bacterium offers the possibility of enzymes production which is specific to both species of meat, respectively. The main focus of this research is to identify the gelatinase encoded gene within the bacteria of L. Sphaericus using bioinformatics analysis of partially sequence genome. From the research study, three candidate gene were identified which was, gelatinase candidate gene 1 (P1), NODE_71_length_93919_cov_158.931839_21 which containing 1563 base pair (bp) in size with 520 amino acids sequence; Secondly, gelatinase candidate gene 2 (P2), NODE_23_length_52851_cov_190.061386_17 which containing 1776 bp in size with 591 amino acids sequence; and Thirdly, gelatinase candidate gene 3 (P3), NODE_106_length_32943_cov_169.147919_8 containing 1701 bp in size with 566 amino acids sequence. Three pairs of oligonucleotide primers were designed and namely as, F1, R1, F2, R2, F3 and R3 were targeted short sequences of cDNA by PCR. The amplicons were reliably results in 1563 bp in size for candidate gene P1 and 1701 bp in size for candidate gene P3. Therefore, the results of bioinformatics analysis of L. Sphaericus resulting in gene encoded gelatinase were identified.

  20. Experimental analysis of the influence of context awareness on service discovery in PNs

    DEFF Research Database (Denmark)

    Olsen, Rasmus Løvenstein; Nickelsen, Anders; Nielsen, Jimmy Jessen

    2006-01-01

    In this paper we present an experimental prototype for context aware service discovery specifically aimed for Personal Networks. In the paper the concept of context aware service discovery, an architecture and the necessary components for performing context aware service discovery in Personal Net...

  1. An improved method for functional similarity analysis of genes based on Gene Ontology.

    Science.gov (United States)

    Tian, Zhen; Wang, Chunyu; Guo, Maozu; Liu, Xiaoyan; Teng, Zhixia

    2016-12-23

    Measures of gene functional similarity are essential tools for gene clustering, gene function prediction, evaluation of protein-protein interaction, disease gene prioritization and other applications. In recent years, many gene functional similarity methods have been proposed based on the semantic similarity of GO terms. However, these leading approaches may make errorprone judgments especially when they measure the specificity of GO terms as well as the IC of a term set. Therefore, how to estimate the gene functional similarity reliably is still a challenging problem. We propose WIS, an effective method to measure the gene functional similarity. First of all, WIS computes the IC of a term by employing its depth, the number of its ancestors as well as the topology of its descendants in the GO graph. Secondly, WIS calculates the IC of a term set by means of considering the weighted inherited semantics of terms. Finally, WIS estimates the gene functional similarity based on the IC overlap ratio of term sets. WIS is superior to some other representative measures on the experiments of functional classification of genes in a biological pathway, collaborative evaluation of GO-based semantic similarity measures, protein-protein interaction prediction and correlation with gene expression. Further analysis suggests that WIS takes fully into account the specificity of terms and the weighted inherited semantics of terms between GO terms. The proposed WIS method is an effective and reliable way to compare gene function. The web service of WIS is freely available at http://nclab.hit.edu.cn/WIS/ .

  2. NaviGO: interactive tool for visualization and functional similarity and coherence analysis with gene ontology.

    Science.gov (United States)

    Wei, Qing; Khan, Ishita K; Ding, Ziyun; Yerneni, Satwica; Kihara, Daisuke

    2017-03-20

    The number of genomics and proteomics experiments is growing rapidly, producing an ever-increasing amount of data that are awaiting functional interpretation. A number of function prediction algorithms were developed and improved to enable fast and automatic function annotation. With the well-defined structure and manual curation, Gene Ontology (GO) is the most frequently used vocabulary for representing gene functions. To understand relationship and similarity between GO annotations of genes, it is important to have a convenient pipeline that quantifies and visualizes the GO function analyses in a systematic fashion. NaviGO is a web-based tool for interactive visualization, retrieval, and computation of functional similarity and associations of GO terms and genes. Similarity of GO terms and gene functions is quantified with six different scores including protein-protein interaction and context based association scores we have developed in our previous works. Interactive navigation of the GO function space provides intuitive and effective real-time visualization of functional groupings of GO terms and genes as well as statistical analysis of enriched functions. We developed NaviGO, which visualizes and analyses functional similarity and associations of GO terms and genes. The NaviGO webserver is freely available at: http://kiharalab.org/web/navigo .

  3. Genome-wide analysis of the p53 gene regulatory network in the developing mouse kidney.

    Science.gov (United States)

    Li, Yuwen; Liu, Jiao; McLaughlin, Nathan; Bachvarov, Dimcho; Saifudeen, Zubaida; El-Dahr, Samir S

    2013-10-16

    Despite mounting evidence that p53 senses and responds to physiological cues in vivo, existing knowledge regarding p53 function and target genes is largely derived from studies in cancer or stressed cells. Herein we utilize p53 transcriptome and ChIP-Seq (chromatin immunoprecipitation-high throughput sequencing) analyses to identify p53 regulated pathways in the embryonic kidney, an organ that develops via mesenchymal-epithelial interactions. This integrated approach allowed identification of novel genes that are possible direct p53 targets during kidney development. We find the p53-regulated transcriptome in the embryonic kidney is largely composed of genes regulating developmental, morphogenesis, and metabolic pathways. Surprisingly, genes in cell cycle and apoptosis pathways account for kidney lie within proximal promoters of annotated genes compared with 7% in a representative cancer cell line; 25% of the differentially expressed p53-bound genes are present in nephron progenitors and nascent nephrons, including key transcriptional regulators, components of Fgf, Wnt, Bmp, and Notch pathways, and ciliogenesis genes. The results indicate widespread p53 binding to the genome in vivo and context-dependent differences in the p53 regulon between cancer, stress, and development. To our knowledge, this is the first comprehensive analysis of the p53 transcriptome and cistrome in a developing mammalian organ, substantiating the role of p53 as a bona fide developmental regulator. We conclude p53 targets transcriptional networks regulating nephrogenesis and cellular metabolism during kidney development.

  4. Genome-wide gene expression analysis of anguillid herpesvirus 1

    NARCIS (Netherlands)

    Beurden, van S.J.; Peeters, B.P.H.; Rottier, P.J.M.; Davison, A.A.; Engelsma, M.Y.

    2013-01-01

    Background Whereas temporal gene expression in mammalian herpesviruses has been studied extensively, little is known about gene expression in fish herpesviruses. Here we report a genome-wide transcription analysis of a fish herpesvirus, anguillid herpesvirus 1, in cell culture, studied during the

  5. Global Analysis of Horizontal Gene Transfer in Fusarium verticillioides

    Science.gov (United States)

    The co-occurrence of microbes within plants and other specialized niches may facilitate horizontal gene transfer (HGT) affecting host-pathogen interactions. We recently identified fungal-to-fungal HGTs involving metabolic gene clusters. For a global analysis of HGTs in the maize pathogen Fusarium ve...

  6. Frequency domain analysis of noise in autoregulated gene circuits

    Science.gov (United States)

    Simpson, Michael L.; Cox, Chris D.; Sayler, Gary S.

    2003-01-01

    We describe a frequency domain technique for the analysis of intrinsic noise within negatively autoregulated gene circuits. This approach is based on the transfer function around the feedback loop (loop transmission) and the equivalent noise bandwidth of the system. The loop transmission, T, is shown to be a determining factor of the dynamics and the noise behavior of autoregulated gene circuits, and this T-based technique provides a simple and flexible method for the analysis of noise arising from any source within the gene circuit. We show that negative feedback not only reduces the variance of the noise in the protein concentration, but also shifts this noise to higher frequencies where it may have a negligible effect on the noise behavior of following gene circuits within a cascade. This predicted effect is demonstrated through the exact stochastic simulation of a two-gene cascade. The analysis elucidates important aspects of gene circuit structure that control functionality, and may provide some insights into selective pressures leading to this structure. The resulting analytical relationships have a simple form, making them especially useful as synthetic gene circuit design equations. With the exception of the linearization of Hill kinetics, this technique is general and may be applied to the analysis or design of networks of higher complexity. This utility is demonstrated through the exact stochastic simulation of an autoregulated two-gene cascade operating near instability. PMID:12671069

  7. A general modular framework for gene set enrichment analysis

    Directory of Open Access Journals (Sweden)

    Strimmer Korbinian

    2009-02-01

    Full Text Available Abstract Background Analysis of microarray and other high-throughput data on the basis of gene sets, rather than individual genes, is becoming more important in genomic studies. Correspondingly, a large number of statistical approaches for detecting gene set enrichment have been proposed, but both the interrelations and the relative performance of the various methods are still very much unclear. Results We conduct an extensive survey of statistical approaches for gene set analysis and identify a common modular structure underlying most published methods. Based on this finding we propose a general framework for detecting gene set enrichment. This framework provides a meta-theory of gene set analysis that not only helps to gain a better understanding of the relative merits of each embedded approach but also facilitates a principled comparison and offers insights into the relative interplay of the methods. Conclusion We use this framework to conduct a computer simulation comparing 261 different variants of gene set enrichment procedures and to analyze two experimental data sets. Based on the results we offer recommendations for best practices regarding the choice of effective procedures for gene set enrichment analysis.

  8. The Iterative Signature Algorithm for the analysis of large scale gene expression data

    CERN Document Server

    Bergmann, S R; Barkai, N; Bergmann, Sven; Ihmels, Jan; Barkai, Naama

    2003-01-01

    We present a new approach for the analysis of genome-wide expression data. Our method is designed to overcome the limitations of traditional techniques, when applied to large-scale data. Rather than alloting each gene to a single cluster, we assign both genes and conditions to context-dependent and potentially overlapping transcription modules. We provide a rigorous definition of a transcription module as the object to be retrieved from the expression data. An efficient algorithm, that searches for the modules encoded in the data by iteratively refining sets of genes and conditions until they match this definition, is established. Each iteration involves a linear map, induced by the normalized expression matrix, followed by the application of a threshold function. We argue that our method is in fact a generalization of Singular Value Decomposition, which corresponds to the special case where no threshold is applied. We show analytically that for noisy expression data our approach leads to better classificatio...

  9. Remote sensing analysis for flood risk management in urban sprawl contexts

    Directory of Open Access Journals (Sweden)

    Francesca Franci

    2015-07-01

    Full Text Available Remote sensing can play a key role in risk assessment and management, especially when several concurrent factors coexist, such as a predisposition to natural disasters and the urban sprawl, spreading over highly vulnerable areas. In this context, multitemporal analysis can provide decision-makers with tools and information to reduce the impacts of disasters (e.g. flooding and to encourage a sustainable development. The present work focuses on the employment of multispectral satellite imagery to produce multitemporal land use/cover maps for the city of Dhaka, which is subject to frequent flooding events. In particular, the evaluation of the urban growth, the analysis of the annual dynamics of flooding and the study of the 2004 catastrophic event were performed. For the change-detection procedure, Landsat images were used. These images allow the quantification of the very rapid growth of the metropolis, with an increase in built-up areas from 75 to 111 km2. The image of 2009 showed that an ordinary flood affects about 115 km2 (on a studied area of 591 km2. On the other hand, the analysis of the 2004 extreme flooding event, performed on a wider area, showed that the affected lands added up to 750 km2 (on about 3845 km2.

  10. An overview of the electricity externality analysis in South Africa within the international context

    Directory of Open Access Journals (Sweden)

    George A. Thopil

    2010-10-01

    Full Text Available Externalities are an integral part of South Africa’s electricity power generation sector as the country is highly dependent on coal as the primary fuel source. While there have been significant efforts to account for the constantly increasing externalities in developed countries, it has not been the case in the developing world. This paper attempts to observe the trend of externalities research in South Africa’s power generation sector and to analyse the gaps by placing externality research in context with other studies performed internationally. A statistical analysis adjusted for currency conversions puts into perspective the range of externalities. It also provides an overview of South Africa’s energy supply and demand scene, with emphasis on the role of coal in the electricity sector. The paper provides motivation to perform a revised externality analysis along international lines. The aim is to add to the body of literature on externality studies in South Africa by providing an updated comparative analysis. This will enable future research to contextualise studies that were performed during different time periods.

  11. Positive Psychological Capital Concept: A Critical Analysis in the Context of Participatory Management

    Directory of Open Access Journals (Sweden)

    Agnieszka Bożek

    2015-09-01

    Full Text Available Purpose: The purpose of the study was a critical analysis of the concept of positive psychological  capital (PsyCap and an indication of ts applicability in organizations that implemented participatory management. Methodology: The study was based on the review and comparative analysis of literature. The theoretical foundations of the concept and its practical translation into organization reality, as well as the results of a meta-analysis of the impact of PsyCap on employee attitudes, behavior and performance, was presented. The limitations of this concept in the context of participatory management were also indicated. Findings: Conducted debate supported the conclusion that the development of employee self-efficacy, hope, optimism and resilience can contribute to strengthening participatory attitudes among workers, and thus enhancing the efficiency of the entire organization. However under several conditions, employee positive psychological states were treated not as organizational resources but as an integral part of themselves. Employees felt responsible for their personal development and development of their own PsyCap was optional. Originality: The study dealt with the relatively new issue of a psychological capital management in organizations that could provide an alternative to the classical human capital management. Its implementation in organizations with participatory management has not yet been discussed in the management literature.

  12. Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data

    Energy Technology Data Exchange (ETDEWEB)

    Data Analysis and Visualization (IDAV) and the Department of Computer Science, University of California, Davis, One Shields Avenue, Davis CA 95616, USA,; nternational Research Training Group ``Visualization of Large and Unstructured Data Sets,' ' University of Kaiserslautern, Germany; Computational Research Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA; Genomics Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley CA 94720, USA; Life Sciences Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley CA 94720, USA,; Computer Science Division,University of California, Berkeley, CA, USA,; Computer Science Department, University of California, Irvine, CA, USA,; All authors are with the Berkeley Drosophila Transcription Network Project, Lawrence Berkeley National Laboratory,; Rubel, Oliver; Weber, Gunther H.; Huang, Min-Yu; Bethel, E. Wes; Biggin, Mark D.; Fowlkes, Charless C.; Hendriks, Cris L. Luengo; Keranen, Soile V. E.; Eisen, Michael B.; Knowles, David W.; Malik, Jitendra; Hagen, Hans; Hamann, Bernd

    2008-05-12

    The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses of the complex gene regulatory networks controlling animal development. We present an integrated visualization and analysis framework that supports user-guided data clustering to aid exploration of these new complex datasets. The interplay of data visualization and clustering-based data classification leads to improved visualization and enables a more detailed analysis than previously possible. We discuss (i) integration of data clustering and visualization into one framework; (ii) application of data clustering to 3D gene expression data; (iii) evaluation of the number of clusters k in the context of 3D gene expression clustering; and (iv) improvement of overall analysis quality via dedicated post-processing of clustering results based on visualization. We discuss the use of this framework to objectively define spatial pattern boundaries and temporal profiles of genes and to analyze how mRNA patterns are controlled by their regulatory transcription factors.

  13. Analysis of reelin as a candidate gene for autism.

    Science.gov (United States)

    Bonora, E; Beyer, K S; Lamb, J A; Parr, J R; Klauck, S M; Benner, A; Paolucci, M; Abbott, A; Ragoussis, I; Poustka, A; Bailey, A J; Monaco, A P

    2003-10-01

    Genetic studies indicate that chromosome 7q is likely to contain an autism susceptibility locus (AUTS1). We have followed a positional candidate gene approach to identify relevant gene(s) and report here the analysis of reelin (RELN), a gene located under our peak of linkage. Screening RELN for DNA changes identified novel missense variants absent in a large control group; however, the low frequency of these mutations does not explain the relatively strong linkage results on 7q. Furthermore, analysis of a previously reported triplet repeat polymorphism and intragenic single nucleotide polymorphisms, using the transmission disequilibrium test, provided no evidence for association with autism in IMGSAC and German singleton families. The analysis of RELN suggests that it probably does not play a major role in autism aetiology, although further analysis of several missense mutations is warranted in additional affected individuals.

  14. Identification of housekeeping genes suitable for gene expression analysis in Jian carp (Cyprinus carpio var. jian).

    Science.gov (United States)

    Tang, Yong-kai; Yu, Ju-hua; Xu, Pao; Li, Jian-lin; Li, Hong-xia; Ren, Hong-tao

    2012-10-01

    Jian carp (Cyprinus carpio var. jian) is an important economic fish species cultured in China. In this report, we performed a systematic analysis to identify an appropriate housekeeping (HK) gene for the study of gene expression in Jian carp. For this purpose, partial DNA sequences of four potential candidate genes (elongation factor 1 alpha (EF-1α), glyceraldehyde-3-phosphate (GAPDH), beta-actin (ACTB), and 18S ribosomal RNA (18S rRNA) were isolated, and their expression levels were studied using RNA extracted from nine tissues (forebrain, hypothalamus, liver, fore-intestine, hind-intestine, ovary, muscle, heart, kidney) in juvenile and adult Jian carp. Gene expression levels were quantified by quantitative real time RT-PCR (qRT-PCR), and expression stability was evaluated by comparing the coefficients of variation (CV) of the Ct values. The results showed that EF-1α was the most suitable HK gene in all tissues of juvenile and adult Jian carp. However, at distinct juvenile and adult developmental stages, there was not a single optimal gene for normalization of expression levels in all tissues. EF-1α was the most stable gene only in forebrain, hypothalamus, liver, heart, and kidney. These results provide data that can be expected to aid gene expression analysis in Jian carp research, but underline the importance of identifying the optimal HK gene for each new experimental paradigm.

  15. Investigation of gene expression profiles in coronary heart disease and functional analysis of target gene

    Institute of Scientific and Technical Information of China (English)

    YIN HuiJun; MA Xiaoduan; JIANG YueRong; SHI DaZhuo; CHEN KeJi

    2009-01-01

    The research outlined here includes constitution of the differential gene expression profile by means of oligonucleotide gene microarray and functional analysis of the target gene for coronary heart disease (CHD). In a microarray screening experiment, the predominance of inflammation-and immune-related genes is presented in the expression profile of 107 differential genes based on the analysis of gene ontology and gene pathway. IL-8, an inflammatory factor, is identified as one of the genes that were markedly up-regulated in CHD. The plasma level of IL-8 is significantly raised in patients with CHD (n = 30) compared with healthy controls (n = 40), which underscores the clinical relevance of the in vitro finding. The further functional analysis shows that IL-8 affects platelet aggregation percentage, ex-pression of CD62p and platelet aggregation morphology in 12 healthy volunteers to some extent. These findings suggest the relevance of inflammation and immune responses to CHD at the DNA level. Moreover, IL-8 may be involved in the pathogenesis of CHD through the pathway of platelet activation.

  16. Gene set analysis of the EADGENE chicken data-set

    DEFF Research Database (Denmark)

    Skarman, Axel; Jiang, Li; Hornshøj, Henrik

    2009-01-01

     Abstract Background: Gene set analysis is considered to be a way of improving our biological interpretation of the observed expression patterns. This paper describes different methods applied to analyse expression data from a chicken DNA microarray dataset. Results: Applying different gene set...... analyses to the chicken expression data led to different ranking of the Gene Ontology terms tested. A method for prediction of possible annotations was applied. Conclusion: Biological interpretation based on gene set analyses dependent on the statistical method used. Methods for predicting the possible...

  17. Gene Expression Divergence and Evolutionary Analysis of the Drosomycin Gene Family in Drosophila melanogaster

    Directory of Open Access Journals (Sweden)

    Xiao-Juan Deng

    2009-01-01

    Full Text Available Drosomycin (Drs encoding an inducible 44-residue antifungal peptide is clustered with six additional genes, Dro1, Dro2, Dro3, Dro4, Dro5, and Dro6, forming a multigene family on the 3L chromosome arm in Drosophila melanogaster. To get further insight into the regulation of each member of the drosomycin gene family, here we investigated gene expression patterns of this family by either microbe-free injury or microbial challenges using real time RT-PCR. The results indicated that among the seven drosomycin genes, Drs, Dro2, Dro3, Dro4, and Dro5 showed constitutive expressions. Three out of five, Dro2, Dro3, and Dro5, were able to be upregulated by simple injury. Interestingly, Drs is an only gene strongly upregulated when Drosophila was infected with microbes. In contrast to these five genes, Dro1 and Dro6 were not transcribed at all in either noninfected or infected flies. Furthermore, by 5′ rapid amplification of cDNA ends, two transcription start sites were identified in Drs and Dro2, and one in Dro3, Dro4, and Dro5. In addition, NF-κB binding sites were found in promoter regions of Drs, Dro2, Dro3, and Dro5, indicating the importance of NF-κB binding sites for the inducibility of drosomycin genes. Based on the analyses of flanking sequences of each gene in D. melanogaster and phylogenetic relationship of drosomycins in D. melanogaster species-group, we concluded that gene duplications were involved in the formation of the drosomycin gene family. The possible evolutionary fates of drosomycin genes were discussed according to the combining analysis of gene expression pattern, gene structure, and functional divergence of these genes.

  18. Dynamic association rules for gene expression data analysis.

    Science.gov (United States)

    Chen, Shu-Chuan; Tsai, Tsung-Hsien; Chung, Cheng-Han; Li, Wen-Hsiung

    2015-10-14

    The purpose of gene expression analysis is to look for the association between regulation of gene expression levels and phenotypic variations. This association based on gene expression profile has been used to determine whether the induction/repression of genes correspond to phenotypic variations including cell regulations, clinical diagnoses and drug development. Statistical analyses on microarray data have been developed to resolve gene selection issue. However, these methods do not inform us of causality between genes and phenotypes. In this paper, we propose the dynamic association rule algorithm (DAR algorithm) which helps ones to efficiently select a subset of significant genes for subsequent analysis. The DAR algorithm is based on association rules from market basket analysis in marketing. We first propose a statistical way, based on constructing a one-sided confidence interval and hypothesis testing, to determine if an association rule is meaningful. Based on the proposed statistical method, we then developed the DAR algorithm for gene expression data analysis. The method was applied to analyze four microarray datasets and one Next Generation Sequencing (NGS) dataset: the Mice Apo A1 dataset, the whole genome expression dataset of mouse embryonic stem cells, expression profiling of the bone marrow of Leukemia patients, Microarray Quality Control (MAQC) data set and the RNA-seq dataset of a mouse genomic imprinting study. A comparison of the proposed method with the t-test on the expression profiling of the bone marrow of Leukemia patients was conducted. We developed a statistical way, based on the concept of confidence interval, to determine the minimum support and minimum confidence for mining association relationships among items. With the minimum support and minimum confidence, one can find significant rules in one single step. The DAR algorithm was then developed for gene expression data analysis. Four gene expression datasets showed that the proposed

  19. Website Analysis in an EFL Context: Content Comprehension, Perceptions on Web Usability and Awareness of Reading Strategies

    Science.gov (United States)

    Roy, Debopriyo; Crabbe, Stephen

    2015-01-01

    Website analysis is an interdisciplinary field of inquiry that focuses on both digital literacy and language competence (Brugger, 2009). Website analysis in an EFL learning context has the potential to facilitate logical thinking and in the process develop functional language proficiency. This study reported on an English language website…

  20. Frequency domain analysis of noise in autoregulated gene circuits

    OpenAIRE

    Simpson, Michael L.; Cox, Chris D.; Sayler, Gary S.

    2003-01-01

    We describe a frequency domain technique for the analysis of intrinsic noise within negatively autoregulated gene circuits. This approach is based on the transfer function around the feedback loop (loop transmission) and the equivalent noise bandwidth of the system. The loop transmission, T, is shown to be a determining factor of the dynamics and the noise behavior of autoregulated gene circuits, and this T-based technique provides a simple and flexible method for the analysis of noise arisin...

  1. Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data

    Science.gov (United States)

    Jiang, Bing; Li, Shuwen; Jiang, Zhi

    2017-01-01

    Gastric cancer is one of the most severe complex diseases with high morbidity and mortality in the world. The molecular mechanisms and risk factors for this disease are still not clear since the cancer heterogeneity caused by different genetic and environmental factors. With more and more expression data accumulated nowadays, we can perform integrative analysis for these data to understand the complexity of gastric cancer and to identify consensus players for the heterogeneous cancer. In the present work, we screened the published gene expression data and analyzed them with integrative tool, combined with pathway and gene ontology enrichment investigation. We identified several consensus differentially expressed genes and these genes were further confirmed with literature mining; at last, two genes, that is, immunoglobulin J chain and C-X-C motif chemokine ligand 17, were screened as novel gastric cancer associated genes. Experimental validation is proposed to further confirm this finding. PMID:28232943

  2. Identifying suitable reference genes for gene expression analysis in developing skeletal muscle in pigs

    Directory of Open Access Journals (Sweden)

    Guanglin Niu

    2016-12-01

    Full Text Available The selection of suitable reference genes is crucial to accurately evaluate and normalize the relative expression level of target genes for gene function analysis. However, commonly used reference genes have variable expression levels in developing skeletal muscle. There are few reports that systematically evaluate the expression stability of reference genes across prenatal and postnatal developing skeletal muscle in mammals. Here, we used quantitative PCR to examine the expression levels of 15 candidate reference genes (ACTB, GAPDH, RNF7, RHOA, RPS18, RPL32, PPIA, H3F3, API5, B2M, AP1S1, DRAP1, TBP, WSB, and VAPB in porcine skeletal muscle at 26 different developmental stages (15 prenatal and 11 postnatal periods. We evaluated gene expression stability using the computer algorithms geNorm, NormFinder, and BestKeeper. Our results indicated that GAPDH and ACTB had the greatest variability among the candidate genes across prenatal and postnatal stages of skeletal muscle development. RPS18, API5, and VAPB had stable expression levels in prenatal stages, whereas API5, RPS18, RPL32, and H3F3 had stable expression levels in postnatal stages. API5 and H3F3 expression levels had the greatest stability in all tested prenatal and postnatal stages, and were the most appropriate reference genes for gene expression normalization in developing skeletal muscle. Our data provide valuable information for gene expression analysis during different stages of skeletal muscle development in mammals. This information can provide a valuable guide for the analysis of human diseases.

  3. Identifying suitable reference genes for gene expression analysis in developing skeletal muscle in pigs.

    Science.gov (United States)

    Niu, Guanglin; Yang, Yalan; Zhang, YuanYuan; Hua, Chaoju; Wang, Zishuai; Tang, Zhonglin; Li, Kui

    2016-01-01

    The selection of suitable reference genes is crucial to accurately evaluate and normalize the relative expression level of target genes for gene function analysis. However, commonly used reference genes have variable expression levels in developing skeletal muscle. There are few reports that systematically evaluate the expression stability of reference genes across prenatal and postnatal developing skeletal muscle in mammals. Here, we used quantitative PCR to examine the expression levels of 15 candidate reference genes (ACTB, GAPDH, RNF7, RHOA, RPS18, RPL32, PPIA, H3F3, API5, B2M, AP1S1, DRAP1, TBP, WSB, and VAPB) in porcine skeletal muscle at 26 different developmental stages (15 prenatal and 11 postnatal periods). We evaluated gene expression stability using the computer algorithms geNorm, NormFinder, and BestKeeper. Our results indicated that GAPDH and ACTB had the greatest variability among the candidate genes across prenatal and postnatal stages of skeletal muscle development. RPS18, API5, and VAPB had stable expression levels in prenatal stages, whereas API5, RPS18, RPL32, and H3F3 had stable expression levels in postnatal stages. API5 and H3F3 expression levels had the greatest stability in all tested prenatal and postnatal stages, and were the most appropriate reference genes for gene expression normalization in developing skeletal muscle. Our data provide valuable information for gene expression analysis during different stages of skeletal muscle development in mammals. This information can provide a valuable guide for the analysis of human diseases.

  4. Gene Bionetwork Analysis of Ovarian Primordial Follicle Development

    Science.gov (United States)

    Nilsson, Eric E.; Savenkova, Marina I.; Schindler, Ryan; Zhang, Bin; Schadt, Eric E.; Skinner, Michael K.

    2010-01-01

    Ovarian primordial follicles are critical for female reproduction and comprise a finite pool of gametes arrested in development. A systems biology approach was used to identify regulatory gene networks essential for primordial follicle development. Transcriptional responses to eight different growth factors known to influence primordial follicles were used to construct a bionetwork of regulatory genes involved in rat primordial follicle development. Over 1,500 genes were found to be regulated by the various growth factors and a network analysis identified critical gene modules involved in a number of signaling pathways and cellular processes. A set of 55 genes was identified as potential critical regulators of these gene modules, and a sub-network associated with development was determined. Within the network two previously identified regulatory genes were confirmed (i.e., Pdgfa and Fgfr2) and a new factor was identified, connective tissue growth factor (CTGF). CTGF was tested in ovarian organ cultures and found to stimulate primordial follicle development. Therefore, the relevant gene network associated with primordial follicle development was validated and the critical genes and pathways involved in this process were identified. This is one of the first applications of network analysis to a normal developmental process. These observations provide insights into potential therapeutic targets for preventing ovarian disease and promoting female reproduction. PMID:20661288

  5. Genome-Wide Detection and Analysis of Multifunctional Genes

    Science.gov (United States)

    Pritykin, Yuri; Ghersi, Dario; Singh, Mona

    2015-01-01

    Many genes can play a role in multiple biological processes or molecular functions. Identifying multifunctional genes at the genome-wide level and studying their properties can shed light upon the complexity of molecular events that underpin cellular functioning, thereby leading to a better understanding of the functional landscape of the cell. However, to date, genome-wide analysis of multifunctional genes (and the proteins they encode) has been limited. Here we introduce a computational approach that uses known functional annotations to extract genes playing a role in at least two distinct biological processes. We leverage functional genomics data sets for three organisms—H. sapiens, D. melanogaster, and S. cerevisiae—and show that, as compared to other annotated genes, genes involved in multiple biological processes possess distinct physicochemical properties, are more broadly expressed, tend to be more central in protein interaction networks, tend to be more evolutionarily conserved, and are more likely to be essential. We also find that multifunctional genes are significantly more likely to be involved in human disorders. These same features also hold when multifunctionality is defined with respect to molecular functions instead of biological processes. Our analysis uncovers key features about multifunctional genes, and is a step towards a better genome-wide understanding of gene multifunctionality. PMID:26436655

  6. Gene bionetwork analysis of ovarian primordial follicle development.

    Directory of Open Access Journals (Sweden)

    Eric E Nilsson

    Full Text Available Ovarian primordial follicles are critical for female reproduction and comprise a finite pool of gametes arrested in development. A systems biology approach was used to identify regulatory gene networks essential for primordial follicle development. Transcriptional responses to eight different growth factors known to influence primordial follicles were used to construct a bionetwork of regulatory genes involved in rat primordial follicle development. Over 1,500 genes were found to be regulated by the various growth factors and a network analysis identified critical gene modules involved in a number of signaling pathways and cellular processes. A set of 55 genes was identified as potential critical regulators of these gene modules, and a sub-network associated with development was determined. Within the network two previously identified regulatory genes were confirmed (i.e., Pdgfa and Fgfr2 and a new factor was identified, connective tissue growth factor (CTGF. CTGF was tested in ovarian organ cultures and found to stimulate primordial follicle development. Therefore, the relevant gene network associated with primordial follicle development was validated and the critical genes and pathways involved in this process were identified. This is one of the first applications of network analysis to a normal developmental process. These observations provide insights into potential therapeutic targets for preventing ovarian disease and promoting female reproduction.

  7. Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG.

    Science.gov (United States)

    Li, Zhen; Li, Bi-Qing; Jiang, Min; Chen, Lei; Zhang, Jian; Liu, Lin; Huang, Tao

    2013-01-01

    One of the most important and challenging problems in biomedicine is how to predict the cancer related genes. Retinoblastoma (RB) is the most common primary intraocular malignancy usually occurring in childhood. Early detection of RB could reduce the morbidity and promote the probability of disease-free survival. Therefore, it is of great importance to identify RB genes. In this study, we developed a computational method to predict RB related genes based on Dagging, with the maximum relevance minimum redundancy (mRMR) method followed by incremental feature selection (IFS). 119 RB genes were compiled from two previous RB related studies, while 5,500 non-RB genes were randomly selected from Ensemble genes. Ten datasets were constructed based on all these RB and non-RB genes. Each gene was encoded with a 13,126-dimensional vector including 12,887 Gene Ontology enrichment scores and 239 KEGG enrichment scores. Finally, an optimal feature set including 1061 GO terms and 8 KEGG pathways was obtained. Analysis showed that these features were closely related to RB. It is anticipated that the method can be applied to predict the other cancer related genes as well.

  8. Prediction and Analysis of Retinoblastoma Related Genes through Gene Ontology and KEGG

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    Zhen Li

    2013-01-01

    Full Text Available One of the most important and challenging problems in biomedicine is how to predict the cancer related genes. Retinoblastoma (RB is the most common primary intraocular malignancy usually occurring in childhood. Early detection of RB could reduce the morbidity and promote the probability of disease-free survival. Therefore, it is of great importance to identify RB genes. In this study, we developed a computational method to predict RB related genes based on Dagging, with the maximum relevance minimum redundancy (mRMR method followed by incremental feature selection (IFS. 119 RB genes were compiled from two previous RB related studies, while 5,500 non-RB genes were randomly selected from Ensemble genes. Ten datasets were constructed based on all these RB and non-RB genes. Each gene was encoded with a 13,126-dimensional vector including 12,887 Gene Ontology enrichment scores and 239 KEGG enrichment scores. Finally, an optimal feature set including 1061 GO terms and 8 KEGG pathways was obtained. Analysis showed that these features were closely related to RB. It is anticipated that the method can be applied to predict the other cancer related genes as well.

  9. A microfluidic DNA computing processor for gene expression analysis and gene drug synthesis.

    Science.gov (United States)

    Zhang, Yu; Yu, Hao; Qin, Jianhua; Lin, Bingcheng

    2009-11-06

    Boolean logic performs a logical operation on one or more logic input and produces a single logic output. Here, we describe a microfluidic DNA computing processor performing Boolean logic operations for gene expression analysis and gene drug synthesis. Multiple cancer-related genes were used as input molecules. Their expression levels were identified by interacting with the computing related DNA strands, which were designed according to the sequences of cancer-related genes and the suicide gene. When all the expressions of the cancer-related genes fit in with the diagnostic criteria, positive diagnosis would be confirmed and then a complete suicide gene (gene drug) could be synthesized as an output molecule. Microfluidic chip was employed as an effective platform to realize the computing process by integrating multistep biochemical reactions involving hybridization, displacement, denaturalization, and ligation. By combining the specific design of the computing related molecules and the integrated functions of the microfluidics, the microfluidic DNA computing processor is able to analyze the multiple gene expressions simultaneously and realize the corresponding gene drug synthesis with simplicity and fast speed, which demonstrates the potential of this platform for DNA computing in biomedical applications.

  10. Gene-network analysis identifies susceptibility genes related to glycobiology in autism.

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    Bert van der Zwaag

    Full Text Available The recent identification of copy-number variation in the human genome has opened up new avenues for the discovery of positional candidate genes underlying complex genetic disorders, especially in the field of psychiatric disease. One major challenge that remains is pinpointing the susceptibility genes in the multitude of disease-associated loci. This challenge may be tackled by reconstruction of functional gene-networks from the genes residing in these loci. We applied this approach to autism spectrum disorder (ASD, and identified the copy-number changes in the DNA of 105 ASD patients and 267 healthy individuals with Illumina Humanhap300 Beadchips. Subsequently, we used a human reconstructed gene-network, Prioritizer, to rank candidate genes in the segmental gains and losses in our autism cohort. This analysis highlighted several candidate genes already known to be mutated in cognitive and neuropsychiatric disorders, including RAI1, BRD1, and LARGE. In addition, the LARGE gene was part of a sub-network of seven genes functioning in glycobiology, present in seven copy-number changes specifically identified in autism patients with limited co-morbidity. Three of these seven copy-number changes were de novo in the patients. In autism patients with a complex phenotype and healthy controls no such sub-network was identified. An independent systematic analysis of 13 published autism susceptibility loci supports the involvement of genes related to glycobiology as we also identified the same or similar genes from those loci. Our findings suggest that the occurrence of genomic gains and losses of genes associated with glycobiology are important contributors to the development of ASD.

  11. Validation of suitable reference genes for quantitative gene expression analysis in Panax ginseng

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    Meizhen eWang

    2016-01-01

    Full Text Available Reverse transcription-qPCR (RT-qPCR has become a popular method for gene expression studies. Its results require data normalization by housekeeping genes. No single gene is proved to be stably expressed under all experimental conditions. Therefore, systematic evaluation of reference genes is necessary. With the aim to identify optimum reference genes for RT-qPCR analysis of gene expression in different tissues of Panax ginseng and the seedlings grown under heat stress, we investigated the expression stability of eight candidate reference genes, including elongation factor 1-beta (EF1-β, elongation factor 1-gamma (EF1-γ, eukaryotic translation initiation factor 3G (IF3G, eukaryotic translation initiation factor 3B (IF3B, actin (ACT, actin11 (ACT11, glyceraldehyde-3-phosphate dehydrogenase (GAPDH and cyclophilin ABH-like protein (CYC, using four widely used computational programs: geNorm, Normfinder, BestKeeper, and the comparative ΔCt method. The results were then integrated using the web-based tool RefFinder. As a result, EF1-γ, IF3G and EF1-β were the three most stable genes in different tissues of P. ginseng, while IF3G, ACT11 and GAPDH were the top three-ranked genes in seedlings treated with heat. Using three better reference genes alone or in combination as internal control, we examined the expression profiles of MAR, a multiple function-associated mRNA-like non-coding RNA (mlncRNA in P. ginseng. Taken together, we recommended EF1-γ/IF3G and IF3G/ACT11 as the suitable pair of reference genes for RT-qPCR analysis of gene expression in different tissues of P. ginseng and the seedlings grown under heat stress, respectively. The results serve as a foundation for future studies on P. ginseng functional genomics.

  12. Candidate gene copy number analysis by PCR and multicapillary electrophoresis.

    Science.gov (United States)

    Szantai, Eszter; Elek, Zsuzsanna; Guttman, András; Sasvari-Szekely, Maria

    2009-04-01

    Genetic polymorphisms are often considered as risk factors of complex diseases serving as valuable and easily detectable biomarkers, also stable during the whole lifespan. A novel type of genetic polymorphism has been identified just recently, referred to as gene copy number variation (CNV) or copy number polymorphism. CNV of glycogen synthase kinase 3 beta and its adjacent gene, Nr1i2 (pregnane X receptor isoform), has been reported to associate with bipolar depression. In our study we introduced multicapillary electrophoresis for gene copy number analysis as an affordable alternative to real-time PCR quantification with TaqMan gene probes. Our results show the reliability of the developed method based on conventional PCR followed by separation of products by multicapillary electrophoresis with quantitative evaluation. This method can be readily implemented for the analysis of candidate gene CNVs in high throughput clinical laboratories and also in personalized medicine care of depression-related risk factors.

  13. The correspondence between the concepts in description logics for contexts and formal concept analysis

    Institute of Scientific and Technical Information of China (English)

    MA Yue; SUI YueFei; CAO CunGen

    2012-01-01

    Formal concept analysis (FCA) and description logic (DL) are meant to be formalizations of concepts.A formal concept in the former consists of its intent and extent,where the intent is the set of all the attributes shared by each object in the extent of the concept,and the extent is the set of all the objects sharing each property in the intent of the concept.A concept in the latter formalization is simply a concept name,the interpretation of which is a subset of a universe.To consider the correspondence between concepts in both formalizations,a multi-valued formal context must be represented both as a knowledge base and as a model of the DL for contexts,where concepts are decomposed into tuple concepts C,interpreted as a set of tuples and value concepts V,interpreted as a set of attribute-value pairs.We show that there is a difference between the interpretation of concepts (V)R.V/(V)R-.C and the Galois connection between the extent/intent of formal concepts in FCA.According to the Galois connection,there should be concepts of the form +(V)/R.V and +(V)R-.C interpreted in FCA,and hence the logical language L for DL is extended to be L+ together with +(V) as a constructor so that +(V)R.V and +(V)R-.C are well-defined concepts.Conversely,according to the interpretation in DL there should be pseudo concepts in FCA so that the interpretation of concepts (V)R.V/(V)R-.C is the extent/intent of pseudo concepts. The correspondence between formal concepts and concepts in L+,and between pseudo concepts and concepts in L are presented in this paper.

  14. Offline analysis of context contribution to ERP-based typing BCI performance

    Science.gov (United States)

    Orhan, Umut; Erdogmus, Deniz; Roark, Brian; Oken, Barry; Fried-Oken, Melanie

    2013-12-01

    Objective. We aim to increase the symbol rate of electroencephalography (EEG) based brain-computer interface (BCI) typing systems by utilizing context information. Approach. Event related potentials (ERP) corresponding to a stimulus in EEG can be used to detect the intended target of a person for BCI. This paradigm is widely utilized to build letter-by-letter BCI typing systems. Nevertheless currently available BCI typing systems still require improvement due to low typing speeds. This is mainly due to the reliance on multiple repetitions before making a decision to achieve higher typing accuracy. Another possible approach to increase the speed of typing while not significantly reducing the accuracy of typing is to use additional context information. In this paper, we study the effect of using a language model (LM) as additional evidence for intent detection. Bayesian fusion of an n-gram symbol model with EEG features is proposed, and a specifically regularized discriminant analysis ERP discriminant is used to obtain EEG-based features. The target detection accuracies are rigorously evaluated for varying LM orders, as well as the number of ERP-inducing repetitions. Main results. The results demonstrate that the LMs contribute significantly to letter classification accuracy. For instance, we find that a single-trial ERP detection supported by a 4-gram LM may achieve the same performance as using 3-trial ERP classification for the non-initial letters of words. Significance. Overall, the fusion of evidence from EEG and LMs yields a significant opportunity to increase the symbol rate of a BCI typing system.

  15. FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

    DEFF Research Database (Denmark)

    Manijak, Mieszko P.; Nielsen, Henrik Bjørn

    2011-01-01

    BACKGROUND: Although, systematic analysis of gene annotation is a powerful tool for interpreting gene expression data, it sometimes is blurred by incomplete gene annotation, missing expression response of key genes and secondary gene expression responses. These shortcomings may be partially...... circumvented by instead matching gene expression signatures to signatures of other experiments. FINDINGS: To facilitate this we present the Functional Association Response by Overlap (FARO) server, that match input signatures to a compendium of 242 gene expression signatures, extracted from more than 1700...

  16. Transcriptome meta-analysis reveals common differential and global gene expression profiles in cystic fibrosis and other respiratory disorders and identifies CFTR regulators.

    Science.gov (United States)

    Clarke, Luka A; Botelho, Hugo M; Sousa, Lisete; Falcao, Andre O; Amaral, Margarida D

    2015-11-01

    A meta-analysis of 13 independent microarray data sets was performed and gene expression profiles from cystic fibrosis (CF), similar disorders (COPD: chronic obstructive pulmonary disease, IPF: idiopathic pulmonary fibrosis, asthma), environmental conditions (smoking, epithelial injury), related cellular processes (epithelial differentiation/regeneration), and non-respiratory "control" conditions (schizophrenia, dieting), were compared. Similarity among differentially expressed (DE) gene lists was assessed using a permutation test, and a clustergram was constructed, identifying common gene markers. Global gene expression values were standardized using a novel approach, revealing that similarities between independent data sets run deeper than shared DE genes. Correlation of gene expression values identified putative gene regulators of the CF transmembrane conductance regulator (CFTR) gene, of potential therapeutic significance. Our study provides a novel perspective on CF epithelial gene expression in the context of other lung disorders and conditions, and highlights the contribution of differentiation/EMT and injury to gene signatures of respiratory disease.

  17. Analysis of Italian Earthquake catalogs in the context of intermediate-term prediction problem

    Science.gov (United States)

    Romashkova, Leontina; Peresan, Antonella

    2013-06-01

    We perform a comparative analysis of regional and global earthquake catalogs currently available for the territory of Italy. We consider: (a) instrumental seismic catalogs provided by the Istituto Nazionale di Geofisica e Vulcanologia, Roma (INGV) for earthquake forecasting experiment in Italy within the Collaboratory for the Study of Earthquake Predictability (CSEP); (b) Global Hypocenters' Data provided by the USGS/NEIC, which is currently used in the real-time earthquake prediction experiment by CN and M8S algorithms in Italy, and (c) seismological Bulletin provided by the International Seismological Centre (ISC). We discuss advantages and shortcomings of these catalogs in the context of intermediate-term middle-range earthquake prediction problem in Italy, including the possibility of the catalog's combined or integrated use. Magnitude errors in the catalog can distort statistics of success-to-failure scoring and eventually falsify testing results. Therefore, the analysis of systematic and random errors in magnitude presented in Appendixes can be of significance in its own right.

  18. ANALYSIS OF THE INSOLVENCY OF ROMANIAN COMPANIES IN THE CONTEXT OF THE ECONOMIC CRISIS

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    Daniela CIOTINA

    2013-12-01

    Full Text Available This paper approaches an important topic in the field of insolvency, a present field, considering that bankruptcy threatens the development in good conditions of the activity of companies. Our approach concerns the analysis of the insolvency of Romanian trading companies in the context of the economic-financial crisis. Considering the current economic crisis, the problem of insolvency is very present. From an economic and financial perspective, insolvency is a reality of entrepreneurship, with a negative impact: it is conditioned and triggers inopportune and inappropriate management of the patrimony of economic units. Our aim is to perform a comparative analysis in time and space of the evaluation of the insolvency of trading companies, in order to grasp the common and specific elements in defining and presenting insolvency. In the practical part of the paper, for processing the data collected from the financial statements, we will use the SPSS software - Statistical Package for the Social Sciences. The database includes 30 insolvent companies in Romania, analyzed over a 5-year period. For a rigorous structure of the database, we will select the companies that perform their activity in several activity branches. The results of the research show the crisis that affects the analyzed Romanian companies.

  19. Discriminant Context Information Analysis for Post-Ranking Person Re-Identification.

    Science.gov (United States)

    Garcia, Jorge; Martinel, Niki; Gardel, Alfredo; Bravo, Ignacio; Foresti, Gian Luca; Micheloni, Christian

    2017-01-16

    Existing approaches for person re-identification are mainly based on creating distinctive representations or on learning optimal metrics. The achieved results are then provided in form of a list of ranked matching persons. It often happens that the true match is not ranked first but it is in the first positions. This is mostly due to the visual ambiguities shared between the true match and other "similar" persons. At the current state, there is a lack of a study of such visual ambiguities which limit the re-identification performance within the first ranks. We believe that an analysis of the similar appearances of the first ranks can be helpful in detecting, hence removing, such visual ambiguities. We propose to achieve such a goal by introducing an unsupervised post-ranking framework. Once the initial ranking is available, content and context sets are extracted. Then, these are exploited to remove the visual ambiguities and to obtain the discriminant feature space which is finally exploited to compute the new ranking. An in-depth analysis of the performance achieved on three public benchmark datasets support our believes. For every dataset, the proposed method remarkably improves the first ranks results and outperforms state-of-the-art approaches.

  20. Understanding the health of lorry drivers in context: A critical discourse analysis.

    Science.gov (United States)

    Caddick, Nick; Varela-Mato, Veronica; Nimmo, Myra A; Clemes, Stacey; Yates, Tom; King, James A

    2017-01-01

    This article moves beyond previous attempts to understand health problems in the lives of professional lorry drivers by placing the study of drivers' health in a wider social and cultural context. A combination of methods including focus groups, interviews and observations were used to collect data from a group of 24 lorry drivers working at a large transport company in the United Kingdom. Employing a critical discourse analysis, we identified the dominant discourses and subject positions shaping the formation of drivers' health and lifestyle choices. This analysis was systematically combined with an exploration of the gendered ways in which an almost exclusively male workforce talked about health. Findings revealed that drivers were constituted within a neoliberal economic discourse, which is reflective of the broader social structure, and which partly restricted drivers' opportunities for healthy living. Concurrently, drivers adopted the subject position of 'average man' as a way of defending their personal and masculine status in regards to health and to justify jettisoning approaches to healthy living that were deemed too extreme or irrational in the face of the constraints of their working lives. Suggestions for driver health promotion include refocusing on the social and cultural - rather than individual - underpinnings of driver health issues and a move away from moralistic approaches to health promotion.

  1. In Silico Analysis of FMR1 Gene Missense SNPs.

    Science.gov (United States)

    Tekcan, Akin

    2016-06-01

    The FMR1 gene, a member of the fragile X-related gene family, is responsible for fragile X syndrome (FXS). Missense single-nucleotide polymorphisms (SNPs) are responsible for many complex diseases. The effect of FMR1 gene missense SNPs is unknown. The aim of this study, using in silico techniques, was to analyze all known missense mutations that can affect the functionality of the FMR1 gene, leading to mental retardation (MR) and FXS. Data on the human FMR1 gene were collected from the Ensembl database (release 81), National Centre for Biological Information dbSNP Short Genetic Variations database, 1000 Genomes Browser, and NHLBI Exome Sequencing Project Exome Variant Server. In silico analysis was then performed. One hundred-twenty different missense SNPs of the FMR1 gene were determined. Of these, 11.66 % of the FMR1 gene missense SNPs were in highly conserved domains, and 83.33 % were in domains with high variety. The results of the in silico prediction analysis showed that 31.66 % of the FMR1 gene SNPs were disease related and that 50 % of SNPs had a pathogenic effect. The results of the structural and functional analysis revealed that although the R138Q mutation did not seem to have a damaging effect on the protein, the G266E and I304N SNPs appeared to disturb the interaction between the domains and affect the function of the protein. This is the first study to analyze all missense SNPs of the FMR1 gene. The results indicate the applicability of a bioinformatics approach to FXS and other FMR1-related diseases. I think that the analysis of FMR1 gene missense SNPs using bioinformatics methods would help diagnosis of FXS and other FMR1-related diseases.

  2. Microarray gene expression profiling and analysis in renal cell carcinoma

    Directory of Open Access Journals (Sweden)

    Sadhukhan Provash

    2004-06-01

    Full Text Available Abstract Background Renal cell carcinoma (RCC is the most common cancer in adult kidney. The accuracy of current diagnosis and prognosis of the disease and the effectiveness of the treatment for the disease are limited by the poor understanding of the disease at the molecular level. To better understand the genetics and biology of RCC, we profiled the expression of 7,129 genes in both clear cell RCC tissue and cell lines using oligonucleotide arrays. Methods Total RNAs isolated from renal cell tumors, adjacent normal tissue and metastatic RCC cell lines were hybridized to affymatrix HuFL oligonucleotide arrays. Genes were categorized into different functional groups based on the description of the Gene Ontology Consortium and analyzed based on the gene expression levels. Gene expression profiles of the tissue and cell line samples were visualized and classified by singular value decomposition. Reverse transcription polymerase chain reaction was performed to confirm the expression alterations of selected genes in RCC. Results Selected genes were annotated based on biological processes and clustered into functional groups. The expression levels of genes in each group were also analyzed. Seventy-four commonly differentially expressed genes with more than five-fold changes in RCC tissues were identified. The expression alterations of selected genes from these seventy-four genes were further verified using reverse transcription polymerase chain reaction (RT-PCR. Detailed comparison of gene expression patterns in RCC tissue and RCC cell lines shows significant differences between the two types of samples, but many important expression patterns were preserved. Conclusions This is one of the initial studies that examine the functional ontology of a large number of genes in RCC. Extensive annotation, clustering and analysis of a large number of genes based on the gene functional ontology revealed many interesting gene expression patterns in RCC. Most

  3. Fine mapping and candidate gene analysis of purple pericarp gene Pb in rice (Oryza sativa L.)

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Purple rice is a type of rice with anthocyanins deposited in its grain pericarp. The rice Pb gene controlling purple pericarp character is known to be on chromosome 4, and the purple color is dominant over white color. In this study, we fine mapped the Pb gene using two F2 segregating populations, i.e. Pei'ai 64S (white) × Yunanheixiannuo (purple) and Pei'ai 64S × Chuanheinuo (purple). In the first-pass mapping, the Pb gene was located in the region downstream the SSR marker RM3820. In the fine mapping, the candidate region was saturated with InDel and CAPS markers developed specifically for this study. Eventually, the Pb gene was mapped within the 25-kb region delimited by the upstream marker RID3 and the downstream marker RID4. The delimited region contained two annotated genes, Ra and bhlh16 (TIGR Rice Genome, R.5). The former is a homologue of the Myc transcription factor Lc controlling anthocyanin biosynthesis in maize, and the latter is a homologue of the TT8 gene, which is also an Myc transcription factor gene controlling the pericarp pigmentation in Arabidopsis thaliana. Sequence analysis showed that the exon 7 of the Ra gene of Yunanheixiannuo and Chuanheinuo had a 2-bp (GT) deletion compared with those of the white rice varieties Pei'ai 64S, 9311 and Nipponbare. A CAPS marker, CAPSRa, was developed according to the GT deletion for analysis of the two F2 segregating populations and 106 rice lines. The results showed that all F2 plants with white pericarp, and all non-purple rice lines (63 white and 22 red) contained no GT deletion, but all 20 purple rice lines contained the GT deletion. These results suggested that the Ra gene may be the Pb gene and the purple pericarp characteristic of rice is caused by the GT deletion within exon 7 of the Ra gene.

  4. The influence of educational context on science learning: a cross-national analysis of PISA

    Science.gov (United States)

    Coll, Richard K.; Dahsah, Chanyah; Faikhamta, Chatree

    2010-04-01

    The literature is replete with studies about the importance of context in relation to teaching and learning. Major international studies such as PISA, among others, attempt to develop an understanding of achievement in science learning in a variety of educational contexts. Here we explore the influence of educational context itself on science learning as measured by PISA. Comparison is made between two countries: one developed or 'western' nation, New Zealand, and one non-western developing nation from southeast Asia, Thailand. In this work the authors seek to establish links between the nature of the educational context (based on Lave's notion of situated cognition) and achievement in the PISA science evaluation exercise.

  5. ANALYSIS DYNAMICS VALUES FORMULATION IN THE CONTEXT OF THE BUSINESS ORGANIZATION’ S MISSION

    Directory of Open Access Journals (Sweden)

    Marius Costel Esi

    2015-02-01

    Full Text Available The economic activity goals reveal a number of aspects which express the need for re-evaluating the way in which the dynamics analysis values may be correlated with the wording business mission. Under these conditions, managerial undertaken strategies at the level of business may be validated in so far as they reveal purpose/ objectives assumed/ undertaken by decision makers (particularly top-managers. Moreover, compliance with eligibility criteria according to which management strategies are reflected, should be aimed at in our opinion improving decision-making process. But such a decision-making process involves an understanding of the judicious economic actors/ labor with regard to the way in which it is possible to analyze the dynamics values in relation to formulation  of  business organization's mission. In these circumstances, a first objective of this research is analysis dynamics values in the context of formulation of business mission. In this way, by this approach, we strive to show you those conditionings that make it possible formulation of business mission in relation to organizational culture.  On the other hand, a second objective that we have in view is given of the way in which is to bring about the process of defining and statement of organizational mission, a process linked to the size of axiological mission statement of business organization. This status as a matter of fact, in the light of the analysis we take into account,  a business model in which the objectives, strategies, organization mission business become materialized in so far as that contextuality  venture is validated in relation to socio-economic prospects. Therefore, the existence of phenomena such as social and economic situation involves a series of connections between different levels of displacing of the organization of business which provides, in fact, its legitimacy

  6. GSMA: Gene Set Matrix Analysis, An Automated Method for Rapid Hypothesis Testing of Gene Expression Data

    Directory of Open Access Journals (Sweden)

    Chris Cheadle

    2007-01-01

    Full Text Available Background: Microarray technology has become highly valuable for identifying complex global changes in gene expression patterns. The assignment of functional information to these complex patterns remains a challenging task in effectively interpreting data and correlating results from across experiments, projects and laboratories. Methods which allow the rapid and robust evaluation of multiple functional hypotheses increase the power of individual researchers to data mine gene expression data more efficiently.Results: We have developed (gene set matrix analysis GSMA as a useful method for the rapid testing of group-wise up- or downregulation of gene expression simultaneously for multiple lists of genes (gene sets against entire distributions of gene expression changes (datasets for single or multiple experiments. The utility of GSMA lies in its flexibility to rapidly poll gene sets related by known biological function or as designated solely by the end-user against large numbers of datasets simultaneously.Conclusions: GSMA provides a simple and straightforward method for hypothesis testing in which genes are tested by groups across multiple datasets for patterns of expression enrichment.

  7. The CanOE strategy: integrating genomic and metabolic contexts across multiple prokaryote genomes to find candidate genes for orphan enzymes.

    Directory of Open Access Journals (Sweden)

    Adam Alexander Thil Smith

    2012-05-01

    Full Text Available Of all biochemically characterized metabolic reactions formalized by the IUBMB, over one out of four have yet to be associated with a nucleic or protein sequence, i.e. are sequence-orphan enzymatic activities. Few bioinformatics annotation tools are able to propose candidate genes for such activities by exploiting context-dependent rather than sequence-dependent data, and none are readily accessible and propose result integration across multiple genomes. Here, we present CanOE (Candidate genes for Orphan Enzymes, a four-step bioinformatics strategy that proposes ranked candidate genes for sequence-orphan enzymatic activities (or orphan enzymes for short. The first step locates "genomic metabolons", i.e. groups of co-localized genes coding proteins catalyzing reactions linked by shared metabolites, in one genome at a time. These metabolons can be particularly helpful for aiding bioanalysts to visualize relevant metabolic data. In the second step, they are used to generate candidate associations between un-annotated genes and gene-less reactions. The third step integrates these gene-reaction associations over several genomes using gene families, and summarizes the strength of family-reaction associations by several scores. In the final step, these scores are used to rank members of gene families which are proposed for metabolic reactions. These associations are of particular interest when the metabolic reaction is a sequence-orphan enzymatic activity. Our strategy found over 60,000 genomic metabolons in more than 1,000 prokaryote organisms from the MicroScope platform, generating candidate genes for many metabolic reactions, of which more than 70 distinct orphan reactions. A computational validation of the approach is discussed. Finally, we present a case study on the anaerobic allantoin degradation pathway in Escherichia coli K-12.

  8. SIGNATURE: A workbench for gene expression signature analysis

    Directory of Open Access Journals (Sweden)

    Chang Jeffrey T

    2011-11-01

    Full Text Available Abstract Background The biological phenotype of a cell, such as a characteristic visual image or behavior, reflects activities derived from the expression of collections of genes. As such, an ability to measure the expression of these genes provides an opportunity to develop more precise and varied sets of phenotypes. However, to use this approach requires computational methods that are difficult to implement and apply, and thus there is a critical need for intelligent software tools that can reduce the technical burden of the analysis. Tools for gene expression analyses are unusually difficult to implement in a user-friendly way because their application requires a combination of biological data curation, statistical computational methods, and database expertise. Results We have developed SIGNATURE, a web-based resource that simplifies gene expression signature analysis by providing software, data, and protocols to perform the analysis successfully. This resource uses Bayesian methods for processing gene expression data coupled with a curated database of gene expression signatures, all carried out within a GenePattern web interface for easy use and access. Conclusions SIGNATURE is available for public use at http://genepattern.genome.duke.edu/signature/.

  9. Gene Ontology-Based Analysis of Zebrafish Omics Data Using the Web Tool Comparative Gene Ontology.

    Science.gov (United States)

    Ebrahimie, Esmaeil; Fruzangohar, Mario; Moussavi Nik, Seyyed Hani; Newman, Morgan

    2017-09-05

    Gene Ontology (GO) analysis is a powerful tool in systems biology, which uses a defined nomenclature to annotate genes/proteins within three categories: "Molecular Function," "Biological Process," and "Cellular Component." GO analysis can assist in revealing functional mechanisms underlying observed patterns in transcriptomic, genomic, and proteomic data. The already extensive and increasing use of zebrafish for modeling genetic and other diseases highlights the need to develop a GO analytical tool for this organism. The web tool Comparative GO was originally developed for GO analysis of bacterial data in 2013 ( www.comparativego.com ). We have now upgraded and elaborated this web tool for analysis of zebrafish genetic data using GOs and annotations from the Gene Ontology Consortium.

  10. Functional analysis of fungal polyketide biosynthesis genes.

    Science.gov (United States)

    Fujii, Isao

    2010-05-01

    Fungal polyketides have huge structural diversity from simple aromatics to highly modified complex reduced-type compounds. Despite such diversty, single modular iterative type I polyketide synthases (iPKSs) are responsible for their carbon skeleton construction. Using heterologous expression systems, we have studied on ATX, a 6-methylsalicylic acid synthase from Aspergillus terreus as a model iPKS. In addition, iPKS functions involved in fungal spore pigment biosynthesis were analyzed together with polyketide-shortening enzymes that convert products of PKSs to shorter ketides by hydrolytic C-C bond cleavage. In our studies on reducing-type iPKSs, we cloned and expressed PKS genes, pksN, pksF, pksK and sol1 from Alternaria solani. The sol gene cluster was found to be involved in solanapyrone biosynthesis and sol5 was identified to encode solanapyrone synthase, a Diels-Alder enzyme. Our fungal PKS studies were further extended to identify the function of PKS-nonribosomal peptide synthase involved in cyclopiazonic acid biosynthesis.

  11. Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases.

    Science.gov (United States)

    Shervais, Stephen; Kramer, Patricia L; Westaway, Shawn K; Cox, Nancy J; Zwick, Martin

    2010-01-01

    There are a number of common human diseases for which the genetic component may include an epistatic interaction of multiple genes. Detecting these interactions with standard statistical tools is difficult because there may be an interaction effect, but minimal or no main effect. Reconstructability analysis (RA) uses Shannon's information theory to detect relationships between variables in categorical datasets. We applied RA to simulated data for five different models of gene-gene interaction, and find that even with heritability levels as low as 0.008, and with the inclusion of 50 non-associated genes in the dataset, we can identify the interacting gene pairs with an accuracy of > or =80%. We applied RA to a real dataset of type 2 non-insulin-dependent diabetes (NIDDM) cases and controls, and closely approximated the results of more conventional single SNP disease association studies. In addition, we replicated prior evidence for epistatic interactions between SNPs on chromosomes 2 and 15.

  12. GenePublisher: automated analysis of DNA microarray data

    DEFF Research Database (Denmark)

    Knudsen, Steen; Workman, Christopher; Sicheritz-Ponten, T.

    2003-01-01

    GenePublisher, a system for automatic analysis of data from DNA microarray experiments, has been implemented with a web interface at http://www.cbs.dtu.dk/services/GenePublisher. Raw data are uploaded to the server together with aspecification of the data. The server performs normalization......, statistical analysis and visualization of the data. The results are run against databases of signal transduction pathways, metabolic pathways and promoter sequences in order to extract more information. The results of the entire analysis are summarized in report form and returned to the user....

  13. Teachers Implementing Context-Based Teaching Materials: A Framework for Case-Analysis in Chemistry

    Science.gov (United States)

    Vos, Martin A. J.; Taconis, Ruurd; Jochems, Wim M. G.; Pilot, Albert

    2010-01-01

    We present a framework for analysing the interplay between context-based teaching material and teachers, and for evaluating the adequacy of the resulting implementation of context-based pedagogy in chemistry classroom practice. The development of the framework is described, including an account of its theoretical foundations. The framework needs…

  14. Teachers Implementing Context-Based Teaching Materials: A Framework for Case-Analysis in Chemistry

    Science.gov (United States)

    Vos, Martin A. J.; Taconis, Ruurd; Jochems, Wim M. G.; Pilot, Albert

    2010-01-01

    We present a framework for analysing the interplay between context-based teaching material and teachers, and for evaluating the adequacy of the resulting implementation of context-based pedagogy in chemistry classroom practice. The development of the framework is described, including an account of its theoretical foundations. The framework needs…

  15. Towards model-driven requirements analysis for context-aware well-being systems

    NARCIS (Netherlands)

    Bosems, Steven

    2012-01-01

    Over the years, the interest in the field of pervasive computing has increased. A specific class of applications in this domain is that of context-aware applications. These programs utilize context information to adapt to their current environment. This quality can be used, among others, when dealin

  16. Context Sensing System Analysis for Privacy Preservation Based on Game Theory.

    Science.gov (United States)

    Wang, Shengling; Li, Luyun; Sun, Weiman; Guo, Junqi; Bie, Rongfang; Lin, Kai

    2017-02-10

    In a context sensing system in which a sensor-equipped mobile phone runs an unreliable context-aware application, the application can infer the user's contexts, based on which it provides personalized services. However, the application may sell the user's contexts to some malicious adversaries to earn extra profits, which will hinder its widespread use. In the real world, the actions of the user, the application and the adversary in the context sensing system affect each other, so that their payoffs are constrained mutually. To figure out under which conditions they behave well (the user releases, the application does not leak and the adversary does not retrieve the context), we take advantage of game theory to analyze the context sensing system. We use the extensive form game and the repeated game, respectively, to analyze two typical scenarios, single interaction and multiple interaction among three players, from which Nash equilibriums and cooperation conditions are obtained. Our results show that the reputation mechanism for the context-sensing system in the former scenario is crucial to privacy preservation, so is the extent to which the participants are concerned about future payoffs in the latter one.

  17. Gene expression profiling of human erythroid progenitors by micro-serial analysis of gene expression.

    Science.gov (United States)

    Fujishima, Naohito; Hirokawa, Makoto; Aiba, Namiko; Ichikawa, Yoshikazu; Fujishima, Masumi; Komatsuda, Atsushi; Suzuki, Yoshiko; Kawabata, Yoshinari; Miura, Ikuo; Sawada, Ken-ichi

    2004-10-01

    We compared the expression profiles of highly purified human CD34+ cells and erythroid progenitor cells by micro-serial analysis of gene expression (microSAGE). Human CD34+ cells were purified from granulocyte colony-stimulating factor-mobilized blood stem cells, and erythroid progenitors were obtained by cultivating these cells in the presence of stem cell factor, interleukin 3, and erythropoietin. Our 10,202 SAGE tags allowed us to identify 1354 different transcripts appearing more than once. Erythroid progenitor cells showed increased expression of LRBA, EEF1A1, HSPCA, PILRB, RANBP1, NACA, and SMURF. Overexpression of HSPCA was confirmed by real-time polymerase chain reaction analysis. MicroSAGE revealed an unexpected preferential expression of several genes in erythroid progenitor cells in addition to the known functional genes, including hemoglobins. Our results provide reference data for future studies of gene expression in various hematopoietic disorders, including myelodysplastic syndrome and leukemia.

  18. A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context

    Directory of Open Access Journals (Sweden)

    Alexandros Andre Chaaraoui

    2014-05-01

    Full Text Available Due to progress and demographic change, society is facing a crucial challenge related to increased life expectancy and a higher number of people in situations of dependency. As a consequence, there exists a significant demand for support systems for personal autonomy. This article outlines the vision@home project, whose goal is to extend independent living at home for elderly and impaired people, providing care and safety services by means of vision-based monitoring. Different kinds of ambient-assisted living services are supported, from the detection of home accidents, to telecare services. In this contribution, the specification of the system is presented, and novel contributions are made regarding human behaviour analysis and privacy protection. By means of a multi-view setup of cameras, people’s behaviour is recognised based on human action recognition. For this purpose, a weighted feature fusion scheme is proposed to learn from multiple views. In order to protect the right to privacy of the inhabitants when a remote connection occurs, a privacy-by-context method is proposed. The experimental results of the behaviour recognition method show an outstanding performance, as well as support for multi-view scenarios and real-time execution, which are required in order to provide the proposed services.

  19. Self-Determination Theory Applied to Health Contexts: A Meta-Analysis.

    Science.gov (United States)

    Ng, Johan Y Y; Ntoumanis, Nikos; Thøgersen-Ntoumani, Cecilie; Deci, Edward L; Ryan, Richard M; Duda, Joan L; Williams, Geoffrey C

    2012-07-01

    Behavior change is more effective and lasting when patients are autonomously motivated. To examine this idea, we identified 184 independent data sets from studies that utilized self-determination theory (SDT; Deci & Ryan, 2000) in health care and health promotion contexts. A meta-analysis evaluated relations between the SDT-based constructs of practitioner support for patient autonomy and patients' experience of psychological need satisfaction, as well as relations between these SDT constructs and indices of mental and physical health. Results showed the expected relations among the SDT variables, as well as positive relations of psychological need satisfaction and autonomous motivation to beneficial health outcomes. Several variables (e.g., participants' age, study design) were tested as potential moderators when effect sizes were heterogeneous. Finally, we used path analyses of the meta-analyzed correlations to test the interrelations among the SDT variables. Results suggested that SDT is a viable conceptual framework to study antecedents and outcomes of motivation for health-related behaviors.

  20. Analysis and Design of a Context Adaptable SAD/MSE Architecture

    Directory of Open Access Journals (Sweden)

    Arvind Sudarsanam

    2009-01-01

    Full Text Available Design of flexible multimedia accelerators that can cater to multiple algorithms is being aggressively pursued in the media processors community. Such an approach is justified in the era of sub-45 nm technology where an increasingly dominating leakage power component is forcing designers to make the best possible use of on-chip resources. In this paper we present an analysis of two commonly used window-based operations (sum of absolute differences and mean squared error across a variety of search patterns and block sizes (2×3, 5×5, etc.. We propose a context adaptable architecture that has (i configurable 2D systolic array and (ii 2D Configurable Register Array (CRA. CRA can cater to variable pixel access patterns while reusing fetched pixels across search windows. Benefits of proposed architecture when compared to 15 other published architectures are adaptability, high throughput, and low latency at a cost of increased footprint, when ported on a Xilinx FPGA.

  1. The Sustainability Analysis Framework: An Effective Knowledge Communication Tool in a Whole of Government Context

    Directory of Open Access Journals (Sweden)

    Kendal Hodgman

    2007-06-01

    Full Text Available This paper focuses on the structural formation of the Sustainability Analysis Framework (SAF, which has proved to be an effective knowledge communication tool in the largest state administration in Australia, the Government of New South Wales. The SAF, devised by the author, has been implemented across thirty-eight state agencies and demonstrates that a whole of government Sustainability perspective is achievable. The level of the NSW Government's commitment to this process is evidenced by the fact that it was coordinated at the highest levels of the administration and engaged high-level input from a comprehensive portfolio of its agencies. The SAF's successful deployment across this significant bureaucracy shows that the generally applicable mechanism is effective in data collation, information sharing, knowledge organisation and the communication of Sustainability practice and wisdom. At the heart of the paper is the author's contention that one of the key problems which jeopardises our common future on Earth is the lack of effective tools to communicate Sustainability thinking and practice. In the course of the project, upon which this paper is based, the author identified the need for a visually and conceptually accessible mechanism to accelerate the uptake of Sustainability practice in a whole of organization context. In designing the SAF, which has successfully bridged this knowledge communication gap, the author employed two of humanity's fundamental learning tools – the diagram and the story.

  2. Candidate gene analysis and exome sequencing confirm LBX1 as a susceptibility gene for idiopathic scoliosis

    DEFF Research Database (Denmark)

    Grauers, Anna; Wang, Jingwen; Einarsdottir, Elisabet

    2015-01-01

    BACKGROUND CONTEXT: Idiopathic scoliosis is a spinal deformity affecting approximately 3% of otherwise healthy children or adolescents. The etiology is still largely unknown but has an important genetic component. Genome-wide association studies have identified a number of common genetic variants...... that are significantly associated with idiopathic scoliosis in Asian and Caucasian populations, rs11190870 close to the LBX1 gene being the most replicated finding. PURPOSE: The aim of the present study was to investigate the genetics of idiopathic scoliosis in a Scandinavian cohort by performing a candidate gene study...... of four variants previously shown to be associated with idiopathic scoliosis and exome sequencing of idiopathic scoliosis patients with a severe phenotype to identify possible novel scoliosis risk variants. STUDY DESIGN: This was a case control study. PATIENT SAMPLE: A total of 1,739 patients...

  3. Independent component analysis of Alzheimer's DNA microarray gene expression data

    Directory of Open Access Journals (Sweden)

    Vanderburg Charles R

    2009-01-01

    Full Text Available Abstract Background Gene microarray technology is an effective tool to investigate the simultaneous activity of multiple cellular pathways from hundreds to thousands of genes. However, because data in the colossal amounts generated by DNA microarray technology are usually complex, noisy, high-dimensional, and often hindered by low statistical power, their exploitation is difficult. To overcome these problems, two kinds of unsupervised analysis methods for microarray data: principal component analysis (PCA and independent component analysis (ICA have been developed to accomplish the task. PCA projects the data into a new space spanned by the principal components that are mutually orthonormal to each other. The constraint of mutual orthogonality and second-order statistics technique within PCA algorithms, however, may not be applied to the biological systems studied. Extracting and characterizing the most informative features of the biological signals, however, require higher-order statistics. Results ICA is one of the unsupervised algorithms that can extract higher-order statistical structures from data and has been applied to DNA microarray gene expression data analysis. We performed FastICA method on DNA microarray gene expression data from Alzheimer's disease (AD hippocampal tissue samples and consequential gene clustering. Experimental results showed that the ICA method can improve the clustering results of AD samples and identify significant genes. More than 50 significant genes with high expression levels in severe AD were extracted, representing immunity-related protein, metal-related protein, membrane protein, lipoprotein, neuropeptide, cytoskeleton protein, cellular binding protein, and ribosomal protein. Within the aforementioned categories, our method also found 37 significant genes with low expression levels. Moreover, it is worth noting that some oncogenes and phosphorylation-related proteins are expressed in low levels. In

  4. Identification of candidate genes in osteoporosis by integrated microarray analysis

    Science.gov (United States)

    Li, J. J.; Wang, B. Q.; Yang, Y.; Li, D.

    2016-01-01

    Objectives In order to screen the altered gene expression profile in peripheral blood mononuclear cells of patients with osteoporosis, we performed an integrated analysis of the online microarray studies of osteoporosis. Methods We searched the Gene Expression Omnibus (GEO) database for microarray studies of peripheral blood mononuclear cells in patients with osteoporosis. Subsequently, we integrated gene expression data sets from multiple microarray studies to obtain differentially expressed genes (DEGs) between patients with osteoporosis and normal controls. Gene function analysis was performed to uncover the functions of identified DEGs. Results A total of three microarray studies were selected for integrated analysis. In all, 1125 genes were found to be significantly differentially expressed between osteoporosis patients and normal controls, with 373 upregulated and 752 downregulated genes. Positive regulation of the cellular amino metabolic process (gene ontology (GO): 0033240, false discovery rate (FDR) = 1.00E + 00) was significantly enriched under the GO category for biological processes, while for molecular functions, flavin adenine dinucleotide binding (GO: 0050660, FDR = 3.66E-01) and androgen receptor binding (GO: 0050681, FDR = 6.35E-01) were significantly enriched. DEGs were enriched in many osteoporosis-related signalling pathways, including those of mitogen-activated protein kinase (MAPK) and calcium. Protein-protein interaction (PPI) network analysis showed that the significant hub proteins contained ubiquitin specific peptidase 9, X-linked (Degree = 99), ubiquitin specific peptidase 19 (Degree = 57) and ubiquitin conjugating enzyme E2 B (Degree = 57). Conclusion Analysis of gene function of identified differentially expressed genes may expand our understanding of fundamental mechanisms leading to osteoporosis. Moreover, significantly enriched pathways, such as MAPK and calcium, may involve in osteoporosis through osteoblastic differentiation and

  5. APOE gene polymorphism analysis in Barranquilla, Colombia.

    Science.gov (United States)

    Ruiz, Martha; Arias, Isis; Rolón, Gloria; Hernández, Enio; Garavito, Pilar; Silvera-Redondo, Carlos

    2016-03-03

    The genetic variability present in the APOE gene polymorphism is considered an important factor associated with predisposition to diseases affecting lipid metabolism, as well as heart diseases and Alzheimer's disease, among others. Understanding it as a risk factor in different populations and ethnic groups is a useful tool.  To analyze the APOE gene polymorphism and determine allelic and genotypic frequencies of a representative sample of population from Barranquilla, Colombia.  We performed a descriptive and comparative study. The sample size was 227 unrelated individuals from Barranquilla, Colombia.  The most frequent allele was the ε3, with 85%, followed by the ε4 allele (13%) and ε2 (1.8%). The genotypes found were: ε3/ε3: 71.8%, ε3/ε4: 24.2%, ε2/ε3: 2.2%, ε2/ε4: 1.3% and ε4/ε4: 0.4%. The ε2/ε2 genotype was not found in this study. The sample exhibited the Hardy-Weinberg equilibrium.  The frequency of the ε3 allele and the ε3/ε3 genotype was similar to that reported in the literature in countries like Brazil, Mexico, Colombia, and in some Colombian Amerindian ethnic groups. The ε2/ε2 genotype was absent. This result is consistent with those found in other population groups worldwide. The frequency of the ε4 allele and the genotypes associated in this population could be related to the presence of diseases such as hypercholesterolemia, myocardial infarction and Alzheimer.

  6. Analysis on Gene Expression Data using Confidence Margin

    Science.gov (United States)

    Yoshioka, Michifumi; Shimoda, Norihiro; Omatu, Shigeru

    Due to recent advances in biotechnology, we can get activation level of each gene within an organism at a particular point of time. The data is called “gene expression data”. Analysis of gene expression data can provide understanding and insight into gene function and regulatory mechanism. However, these tasks are made more difficult from the empirical nature of array data and the overwhelming number of gene feature. One of our previous works in our field is GASVM. GASVM is a hybrid method of Genetic Algorithm and Support Vector Machine by Saberi et al.(1). GASVM has a large computational cost and a possibility of overfitting. Therefore, we have introduced a new criterion “Confidence Margin” and proposed a new method using it. The experimental result using two famous datasets confirmed the effectiveness of our proposed method.

  7. Gene profile analysis of osteoblast genes differentially regulated by histone deacetylase inhibitors

    Directory of Open Access Journals (Sweden)

    Lamblin Anne-Francoise

    2007-10-01

    Full Text Available Abstract Background Osteoblast differentiation requires the coordinated stepwise expression of multiple genes. Histone deacetylase inhibitors (HDIs accelerate the osteoblast differentiation process by blocking the activity of histone deacetylases (HDACs, which alter gene expression by modifying chromatin structure. We previously demonstrated that HDIs and HDAC3 shRNAs accelerate matrix mineralization and the expression of osteoblast maturation genes (e.g. alkaline phosphatase, osteocalcin. Identifying other genes that are differentially regulated by HDIs might identify new pathways that contribute to osteoblast differentiation. Results To identify other osteoblast genes that are altered early by HDIs, we incubated MC3T3-E1 preosteoblasts with HDIs (trichostatin A, MS-275, or valproic acid for 18 hours in osteogenic conditions. The promotion of osteoblast differentiation by HDIs in this experiment was confirmed by osteogenic assays. Gene expression profiles relative to vehicle-treated cells were assessed by microarray analysis with Affymetrix GeneChip 430 2.0 arrays. The regulation of several genes by HDIs in MC3T3-E1 cells and primary osteoblasts was verified by quantitative real-time PCR. Nine genes were differentially regulated by at least two-fold after exposure to each of the three HDIs and six were verified by PCR in osteoblasts. Four of the verified genes (solute carrier family 9 isoform 3 regulator 1 (Slc9a3r1, sorbitol dehydrogenase 1, a kinase anchor protein, and glutathione S-transferase alpha 4 were induced. Two genes (proteasome subunit, beta type 10 and adaptor-related protein complex AP-4 sigma 1 were suppressed. We also identified eight growth factors and growth factor receptor genes that are significantly altered by each of the HDIs, including Frizzled related proteins 1 and 4, which modulate the Wnt signaling pathway. Conclusion This study identifies osteoblast genes that are regulated early by HDIs and indicates pathways that

  8. Measuring the Meaning of Words in Contexts: An automated analysis of controversies about Monarch butterflies, Frankenfoods, and stem cells

    CERN Document Server

    Leydesdorff, Loet

    2009-01-01

    Co-words have been considered as carriers of meaning across different domains in studies of science, technology, and society. Words and co-words, however, obtain meaning in sentences, and sentences obtain meaning in their contexts of use. At the science/society interface, words can be expected to have different meanings: the codes of communication that provide meaning to words differ on the varying sides of the interface. Furthermore, meanings and interfaces may change over time. Given this structuring of meaning across interfaces and over time, we distinguish between metaphors and diaphors as reflexive mechanisms that facilitate the translation between contexts. Our empirical focus is on three recent scientific controversies: Monarch butterflies, Frankenfoods, and stem-cell therapies. This study explores new avenues that relate the study of co-word analysis in context with the sociological quest for the analysis and processing of meaning.

  9. Bioinformatics Analysis of the Duck Enteritis Virus UL54 Gene

    Directory of Open Access Journals (Sweden)

    Chaoyue Liu

    2014-04-01

    Full Text Available In this study, we analyze the Duck Enteritis Virus (DEV UL54 gene, which has been isolated and identified in our lab (GenBank accession NO EU071033, to help deeply research on DEV. DNA sequence analysis showed that the identified ORF which composed of 1377 bp nucleotides encoded 458 amino acids with a predicted Mr. of 51.75 kDa. Multiple sequence alignment suggested that the UL54 gene was highly conserved in Alphaherpesvirinae and was similar to the other herpesviral UL54 gene. Phylogenetic analysis of the DEV UL54 gene revealed that DEV had a close evolutionary relationship with Gallid, Herpesvirus 2 (GaHV-2, Gallid Herpesvirus 3 (GaHV-3, Meleagrid Herpesvirus1 (MeHV-1 and should belong to a single cluster within the Alphaherpesvirinae subfamily.

  10. Confirmatory factor analysis of the Multi-dimensional Emotional Empathy Scale in the South African context

    Directory of Open Access Journals (Sweden)

    Chantal Olckers

    2010-03-01

    Full Text Available Orientation: Empathy is a core competency in aiding individuals to address the challenges of social living. An indicator of emotional intelligence, it is useful in a globalising and cosmopolitan world. Moreover, managing staff, stakeholders and conflict in many social settings relies on communicative skills, of which empathy forms a large part. Empathy plays a pivotal role in negotiating, persuading and influencing behaviour. The skill of being able to empathise thus enables the possessor to attune to the needs of clients and employees and provides opportunities to become responsive to these needs.Research purpose: This study attempted to determine the construct validity of the Multi-dimensional Emotional Empathy Scale within the South African context.Motivation for the study: In South Africa, a large number of psychometrical instruments have been adopted directly from abroad. Studies determining the construct validity of several of these imported instruments, however, have shown that these instruments are not suited for use in the South African context.Research design, approach and method: The study was based on a quantitative research method with a survey design. A convenience sample of 212 respondents completed the Multi-dimensional Emotional Empathy Scale. The constructs explored were Suffering, Positive Sharing, Responsive Crying, Emotional Attention, a Feel for Others and Emotional Contagion. The statistical procedure used was a confirmatory factor analysis.Main findings: The study showed that, from a South African perspective, the Multi-dimensional Emotional Empathy Scale lacks sufficient construct validity.Practical/managerial implications: Further refinement of the model would provide valuable information that would aid people to be more appreciative of individual contributions, to meet client needs and to understand the motivations of others.Contribution/value-add: From a South African perspective, the findings of this study are

  11. Analysis of Properties of the North Polar Layered Deposits: THEMIS Data in Context of MGS Data

    Science.gov (United States)

    Ivanov, A. B.; Byrne, S.; Richardson, M. I.; Vasavada, A. R.; Titus, T. N.; Bell, J. F.; McConnochie, T. H.; Christensen, P. R.

    2003-01-01

    One of the many questions of Martian exploration is to uncover the history of Mars, through analysis of the polar layered deposits (PLD). Martian polar ice caps hold most of the exposed water on the surface on Mars and yet their history and physical processed involved in their formation are unclear. We will attempt to contribute to our knowledge of the composition and stratigraphy of the polar deposits. In this work we present the latest imaging data acquired by the Mars Odyssey THermal EMission Imaging System (THEMIS) and place it into context of the Mars Global Surveyor (MGS) data. THEMIS provides capabilities for imaging in both thermal IR and visible color wavelengths. These observations are affected by atmospheric scattering and topography. The Mars Orbiter Laser Altimeter (MOLA) and Thermal Emission Spectrometer (TES) instruments on board of the MGS spacecraft can provide context information for THEMIS data. Of particular interest are Mars Orbiter Camera (MOC) images, which provide high resolution data. We are primarily interested in the seasonal evolution of ice cap temperatures during the first northern summer of THEMIS observations. Morphology, stratigraphy and composition of the layered deposits can be addressed by THEMIS VIS color images, along with MOC high resolution data and MOLA Digital Elevation Models (DEM). This work is intentionally descriptive. Based on the knowledge obtained by the orbiting spacecraft and described here, we will attempt to expose major directions for modeling and further understanding of of the physical processes involved in the formation of the polar layered terrain 2 Available data 2.1 THEMIS IR The THEMIS IR camera has 10 bands from 6 to 15 m. Due to to signal-to-noise restrictions the most useful band for polar observations is band 9 (12.57 m ). Band 10 (14.88 m ) data can be used for atmospheric calibration. An example of seasonal evolution observed by the THEMIS IR subsystem is shown in Figure 1. We have projected all IR

  12. Genome-level identification, gene expression, and comparative analysis of porcine ß-defensin genes

    Directory of Open Access Journals (Sweden)

    Choi Min-Kyeung

    2012-11-01

    Full Text Available Abstract Background Beta-defensins (β-defensins are innate immune peptides with evolutionary conservation across a wide range of species and has been suggested to play important roles in innate immune reactions against pathogens. However, the complete β-defensin repertoire in the pig has not been fully addressed. Result A BLAST analysis was performed against the available pig genomic sequence in the NCBI database to identify β-defensin-related sequences using previously reported β-defensin sequences of pigs, humans, and cattle. The porcine β-defensin gene clusters were mapped to chromosomes 7, 14, 15 and 17. The gene expression analysis of 17 newly annotated porcine β-defensin genes across 15 tissues using semi-quantitative reverse transcription polymerase chain reaction (RT-PCR showed differences in their tissue distribution, with the kidney and testis having the largest pBD expression repertoire. We also analyzed single nucleotide polymorphisms (SNPs in the mature peptide region of pBD genes from 35 pigs of 7 breeds. We found 8 cSNPs in 7 pBDs. Conclusion We identified 29 porcine β-defensin (pBD gene-like sequences, including 17 unreported pBDs in the porcine genome. Comparative analysis of β-defensin genes in the pig genome with those in human and cattle genomes showed structural conservation of β-defensin syntenic regions among these species.

  13. Genes responsive to elevated CO2 concentrations in triploid white poplar and integrated gene network analysis.

    Directory of Open Access Journals (Sweden)

    Juanjuan Liu

    Full Text Available BACKGROUND: The atmospheric CO2 concentration increases every year. While the effects of elevated CO2 on plant growth, physiology and metabolism have been studied, there is now a pressing need to understand the molecular mechanisms of how plants will respond to future increases in CO2 concentration using genomic techniques. PRINCIPAL FINDINGS: Gene expression in triploid white poplar ((Populus tomentosa ×P. bolleana ×P. tomentosa leaves was investigated using the Affymetrix poplar genome gene chip, after three months of growth in controlled environment chambers under three CO2 concentrations. Our physiological findings showed the growth, assessed as stem diameter, was significantly increased, and the net photosynthetic rate was decreased in elevated CO2 concentrations. The concentrations of four major endogenous hormones appeared to actively promote plant development. Leaf tissues under elevated CO2 concentrations had 5,127 genes with different expression patterns in comparison to leaves under the ambient CO2 concentration. Among these, 8 genes were finally selected for further investigation by using randomized variance model corrective ANOVA analysis, dynamic gene expression profiling, gene network construction, and quantitative real-time PCR validation. Among the 8 genes in the network, aldehyde dehydrogenase and pyruvate kinase were situated in the core and had interconnections with other genes. CONCLUSIONS: Under elevated CO2 concentrations, 8 significantly changed key genes involved in metabolism and responding to stimulus of external environment were identified. These genes play crucial roles in the signal transduction network and show strong correlations with elevated CO2 exposure. This study provides several target genes, further investigation of which could provide an initial step for better understanding the molecular mechanisms of plant acclimation and evolution in future rising CO2 concentrations.

  14. Analysis of magnitude and duration of floods and droughts in the context of climate change

    Science.gov (United States)

    Eshetu Debele, Sisay; Bogdanowicz, Ewa; Strupczewski, Witold

    2016-04-01

    Research and scientific information are key elements of any decision-making process. There is also a strong need for tools to describe and compare in a concise way the regime of hydrological extreme events in the context of presumed climate change. To meet these demands, two complementary methods for estimating high and low-flow frequency characteristics are proposed. Both methods deal with duration and magnitude of extreme events. The first one "flow-duration-frequency" (known as QdF) has already been applied successfully to low-flow analysis, flood flows and rainfall intensity. The second one called "duration-flow-frequency" (DqF) was proposed by Strupczewski et al. in 2010 to flood frequency analysis. The two methods differ in the treatment of flow and duration. In the QdF method the duration (d-consecutive days) is a chosen fixed value and the frequency analysis concerns the annual or seasonal series of mean value of flows exceeded (in the case of floods) or non-exceeded (in the case of droughts) within d-day period. In the second method, DqF, the flows are treated as fixed thresholds and the duration of flows exceeding (floods) and non-exceeding (droughts) these thresholds are a subject of frequency analysis. The comparison of characteristics of floods and droughts in reference period and under future climate conditions for catchments studied within the CHIHE project is presented and a simple way to show the results to non-professionals and decision-makers is proposed. The work was undertaken within the project "Climate Change Impacts on Hydrological Extremes (CHIHE)", which is supported by the Norway-Poland Grants Program administered by the Norwegian Research Council. The observed time series were provided by the Institute of Meteorology and Water Management (IMGW), Poland. Strupczewski, W. G., Kochanek, K., Markiewicz, I., Bogdanowicz, E., Weglarczyk, S., & Singh V. P. (2010). On the Tails of Distributions of Annual Peak Flow. Hydrology Research, 42, 171

  15. Human gene correlation analysis (HGCA): a tool for the identification of transcriptionally co-expressed genes.

    Science.gov (United States)

    Michalopoulos, Ioannis; Pavlopoulos, Georgios A; Malatras, Apostolos; Karelas, Alexandros; Kostadima, Myrto-Areti; Schneider, Reinhard; Kossida, Sophia

    2012-06-06

    Bioinformatics and high-throughput technologies such as microarray studies allow the measure of the expression levels of large numbers of genes simultaneously, thus helping us to understand the molecular mechanisms of various biological processes in a cell. We calculate the Pearson Correlation Coefficient (r-value) between probe set signal values from Affymetrix Human Genome Microarray samples and cluster the human genes according to the r-value correlation matrix using the Neighbour Joining (NJ) clustering method. A hyper-geometric distribution is applied on the text annotations of the probe sets to quantify the term overrepresentations. The aim of the tool is the identification of closely correlated genes for a given gene of interest and/or the prediction of its biological function, which is based on the annotations of the respective gene cluster. Human Gene Correlation Analysis (HGCA) is a tool to classify human genes according to their coexpression levels and to identify overrepresented annotation terms in correlated gene groups. It is available at: http://biobank-informatics.bioacademy.gr/coexpression/.

  16. Analysis of pan-genome to identify the core genes and essential genes of Brucella spp.

    Science.gov (United States)

    Yang, Xiaowen; Li, Yajie; Zang, Juan; Li, Yexia; Bie, Pengfei; Lu, Yanli; Wu, Qingmin

    2016-04-01

    Brucella spp. are facultative intracellular pathogens, that cause a contagious zoonotic disease, that can result in such outcomes as abortion or sterility in susceptible animal hosts and grave, debilitating illness in humans. For deciphering the survival mechanism of Brucella spp. in vivo, 42 Brucella complete genomes from NCBI were analyzed for the pan-genome and core genome by identification of their composition and function of Brucella genomes. The results showed that the total 132,143 protein-coding genes in these genomes were divided into 5369 clusters. Among these, 1710 clusters were associated with the core genome, 1182 clusters with strain-specific genes and 2477 clusters with dispensable genomes. COG analysis indicated that 44 % of the core genes were devoted to metabolism, which were mainly responsible for energy production and conversion (COG category C), and amino acid transport and metabolism (COG category E). Meanwhile, approximately 35 % of the core genes were in positive selection. In addition, 1252 potential essential genes were predicted in the core genome by comparison with a prokaryote database of essential genes. The results suggested that the core genes in Brucella genomes are relatively conservation, and the energy and amino acid metabolism play a more important role in the process of growth and reproduction in Brucella spp. This study might help us to better understand the mechanisms of Brucella persistent infection and provide some clues for further exploring the gene modules of the intracellular survival in Brucella spp.

  17. Analysis of gene and protein name synonyms in Entrez Gene and UniProtKB resources

    KAUST Repository

    Arkasosy, Basil

    2013-05-11

    Ambiguity in texts is a well-known problem: words can carry several meanings, and hence, can be read and interpreted differently. This is also true in the biological literature; names of biological concepts, such as genes and proteins, might be ambiguous, referring in some cases to more than one gene or one protein, or in others, to both genes and proteins at the same time. Public biological databases give a very useful insight about genes and proteins information, including their names. In this study, we made a thorough analysis of the nomenclatures of genes and proteins in two data sources and for six different species. We developed an automated process that parses, extracts, processes and stores information available in two major biological databases: Entrez Gene and UniProtKB. We analysed gene and protein synonyms, their types, frequencies, and the ambiguities within a species, in between data sources and cross-species. We found that at least 40% of the cross-species ambiguities are caused by names that are already ambiguous within the species. Our study shows that from the six species we analysed (Homo Sapiens, Mus Musculus, Arabidopsis Thaliana, Oryza Sativa, Bacillus Subtilis and Pseudomonas Fluorescens), rice (Oriza Sativa) has the best naming model in Entrez Gene database, with low ambiguities between data sources and cross-species.

  18. Semi-supervised consensus clustering for gene expression data analysis

    OpenAIRE

    Wang, Yunli; Pan, Youlian

    2014-01-01

    Background Simple clustering methods such as hierarchical clustering and k-means are widely used for gene expression data analysis; but they are unable to deal with noise and high dimensionality associated with the microarray gene expression data. Consensus clustering appears to improve the robustness and quality of clustering results. Incorporating prior knowledge in clustering process (semi-supervised clustering) has been shown to improve the consistency between the data partitioning and do...

  19. Cloning and Analysis of Genes SAMS From Glycine soja

    Institute of Scientific and Technical Information of China (English)

    FAN Jinping; BAI Xi; LI Yong; JI Wei; WANG Xi; ZHU Yanming

    2008-01-01

    S-adenosylmethionine (SAM) plays important role in trans-methyl reactions. Under the condition of drought (30%PEG),salinity (200 mmol·L-1 NaCI) and low temperature (4℃),total RNA was extracted from the leaf and the first strand of eDNA was synthesized with reverse transcription.S-adenosylmethionine synthetase gene (SAMS gene) was amplified by PeR with the first strand eDNA as template and a pair of primers which was based on constructed ESTs sequence.Full-length SAMS gene sequence was obtained by BLAST comparison. According to the analysis, completed sequence of SAMS gene was integrality.The sequence of the SAMS gene was 1185 bp in length with an opening reading frame (ORF) encoding 394 amino acids.The cDNA sequence showed a significant homology to the SAM genes from Phaseolus lunatus (89%),Medicago sativa (85%).A prokaryotie expression vectors based on pET-32b had been constructed and prokaryotie expression was analyzed in order to lay a strong foundation for resist adversity function analysis through situation of genie expression analysis.

  20. Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis

    Directory of Open Access Journals (Sweden)

    Xi Wang

    2015-05-01

    Full Text Available Kashin-Beck Disease (KBD is an endemic osteochondropathy with an unknown pathogenesis. Diagnosis of KBD is effective only in advanced cases, which eliminates the possibility of early treatment and leads to an inevitable exacerbation of symptoms. Therefore, we aim to identify an accurate blood-based gene signature for the detection of KBD. Previously published gene expression profile data on cartilage and peripheral blood mononuclear cells (PBMCs from adults with KBD were compared to select potential target genes. Microarray analysis was conducted to evaluate the expression of the target genes in a cohort of 100 KBD patients and 100 healthy controls. A gene expression signature was identified using a training set, which was subsequently validated using an independent test set with a minimum redundancy maximum relevance (mRMR algorithm and support vector machine (SVM algorithm. Fifty unique genes were differentially expressed between KBD patients and healthy controls. A 20-gene signature was identified that distinguished between KBD patients and controls with 90% accuracy, 85% sensitivity, and 95% specificity. This study identified a 20-gene signature that accurately distinguishes between patients with KBD and controls using peripheral blood samples. These results promote the further development of blood-based genetic biomarkers for detection of KBD.

  1. A Latent Class Growth Analysis of School Bullying and Its Social Context: The Self-Determination Theory Perspective

    Science.gov (United States)

    Lam, Shui-fong; Law, Wilbert; Chan, Chi-Keung; Wong, Bernard P. H.; Zhang, Xiao

    2015-01-01

    The contribution of social context to school bullying was examined from the self-determination theory perspective in this longitudinal study of 536 adolescents from 3 secondary schools in Hong Kong. Latent class growth analysis of the student-reported data at 5 time points from grade 7 to grade 9 identified 4 groups of students: bullies (9.8%),…

  2. Behavior Analysis and Ecological Psychology: Past, Present, and Future. A Review of Harry Heft's Ecological Psychology in Context

    OpenAIRE

    Morris, Edward K

    2009-01-01

    Relations between behavior analysis and ecological psychology have been strained for years, notwithstanding the occasional comment on their affinities. Harry Heft's (2001) Ecological Psychology in Context provides an occasion for reviewing anew those relations and affinities. It describes the genesis of ecological psychology in James's radical empiricism; addresses Holt's neorealism and Gestalt psychology; and synthesizes Gibson's ecological psychology and Barker's ecobehavioral science as a ...

  3. English "in the Context of" European Integration: A Corpus-Driven Analysis of Lexical Bundles in English EU Documents

    Science.gov (United States)

    Jablonkai, Reka

    2010-01-01

    This study extends research into the use of English as a lingua franca in the European context by investigating the most frequent word combinations in English documents issued by EU institutions. As there is little research on the use of the English language within the European Union for ESP pedagogic purposes, as part of a larger scale analysis,…

  4. Chemistry and Chemical Education through Text and Image: Analysis of Twentieth Century Textbooks Used in Brazilian Context

    Science.gov (United States)

    Souza, Karina Ap F. D.; Porto, Paulo Alves

    2012-01-01

    Assuming that textbooks give literary expression to cultural and ideological values of a nation or group, we propose the analysis of chemistry textbooks used in Brazilian universities throughout the twentieth century. We analyzed iconographic and textual aspects of 31 textbooks which had significant diffusion in the context of Brazilian…

  5. Microarray based gene expression analysis of Sus Scrofa duodenum exposed to zearalenone: significance to human health.

    Science.gov (United States)

    Braicu, Cornelia; Cojocneanu-Petric, Roxana; Jurj, Ancuta; Gulei, Diana; Taranu, Ionelia; Gras, Alexandru Mihail; Marin, Daniela Eliza; Berindan-Neagoe, Ioana

    2016-08-17

    Zearalenone (ZEA) is a secondary metabolite produced by Fusarium species. ZEA was proved to exert a wide range of unwanted side effects, but its mechanism of action, particularly at duodenum levels, remains unclear. In our study based on the microarray technology we assessed the alteration of gene expression pattern Sus scrofa duodenum which has been previously exposed to ZEA. Gene expression data was validated by qRT-PCR and ELISA. The gene expression data were further extrapolated the results to their human orthologues and analyzed the data in the context of human health using IPA (Ingenuity Pathways Analysis). Using Agilent microarray technology, we found that gene expression pattern was significantly affected by ZEA exposure, considering a 2-fold expression difference as a cut-off level and a p-value < 0.05. In total, we found 1576 upregulated and 2446 downregulated transcripts. About 1084 genes (764 downregulated and 751 overexpressed) were extrapolated to their human orthologues. IPA analysis showed various altered key cellular and molecular pathways. As expected, we observed a significant alteration of immune response related genes, MAPK (mitogen activate protein kinases) pathways or Toll-Like Receptors (TLRs). What captured our attention was the modulation of pathways related to the activation of early carcinogenesis. Our data demonstrate that ZEA has a complex effect at duodenum level. ZEA is able to activate not only the immune response related genes, but also those relate to colorectal carcinogenesis. The effects can be more dramatic when connected with the exposure to other environmental toxic agents or co-occurrence with different microorganisms.

  6. Haplotype sharing analysis with SNPs in candidate genes : The genetic analysis workshop 12 example

    NARCIS (Netherlands)

    Fischer, C; Beckmann, L; Majoram, P; Meerman, GT; Chang-Claude, J

    2003-01-01

    Haplotype sharing analysis was used to investigate the association of affection status with single nucleotide polymorphism (SNP) haplotypes within candidate gene 1 in one sample each from the isolated and the general population of Genetic Analysis Workshop (GAW) 12 simulated data. Gene 1 has direct

  7. Genome-wide gene-gene interaction analysis for next-generation sequencing.

    Science.gov (United States)

    Zhao, Jinying; Zhu, Yun; Xiong, Momiao

    2016-03-01

    The critical barrier in interaction analysis for next-generation sequencing (NGS) data is that the traditional pairwise interaction analysis that is suitable for common variants is difficult to apply to rare variants because of their prohibitive computational time, large number of tests and low power. The great challenges for successful detection of interactions with NGS data are (1) the demands in the paradigm of changes in interaction analysis; (2) severe multiple testing; and (3) heavy computations. To meet these challenges, we shift the paradigm of interaction analysis between two SNPs to interaction analysis between two genomic regions. In other words, we take a gene as a unit of analysis and use functional data analysis techniques as dimensional reduction tools to develop a novel statistic to collectively test interaction between all possible pairs of SNPs within two genome regions. By intensive simulations, we demonstrate that the functional logistic regression for interaction analysis has the correct type 1 error rates and higher power to detect interaction than the currently used methods. The proposed method was applied to a coronary artery disease dataset from the Wellcome Trust Case Control Consortium (WTCCC) study and the Framingham Heart Study (FHS) dataset, and the early-onset myocardial infarction (EOMI) exome sequence datasets with European origin from the NHLBI's Exome Sequencing Project. We discovered that 6 of 27 pairs of significantly interacted genes in the FHS were replicated in the independent WTCCC study and 24 pairs of significantly interacted genes after applying Bonferroni correction in the EOMI study.

  8. Gene expression correlation analysis predicts involvement of high- and low-confidence risk genes in different stages of prostate carcinogenesis.

    Science.gov (United States)

    Yano, Kojiro

    2010-12-01

    Whole genome association studies have identified many loci associated with the risk of prostate cancer (PC). However, very few of the genes associated with these loci have been related to specific processes of prostate carcinogenesis. Therefore I inferred biological functions associated with these risk genes using gene expression correlation analysis. PC risk genes reported in the literature were classified as having high (Plow (Phigh-confidence genes and other genes in the microarray dataset, whereas correlation between low-confidence genes and other genes in PC showed smaller decrease. Genes involved in developmental processes were significantly correlated with all risk gene categories. Ectoderm development genes, which may be related to squamous metaplasia, and genes enriched in fetal prostate stem cells (PSCs) showed strong association with the high-confidence genes. The association between the PSC genes and the low-confidence genes was weak, but genes related to neural system genes showed strong association with low-confidence genes. The high-confidence risk genes may be associated with an early stage of prostate carcinogenesis, possibly involving PSCs and squamous metaplasia. The low-confidence genes may be involved in a later stage of carcinogenesis. © 2010 Wiley-Liss, Inc.

  9. Analysis of Interpersonal Relationship in the Consumer Society Context in Sister Carrie

    Institute of Scientific and Technical Information of China (English)

    张恩秀

    2009-01-01

    Carrie's characterization is a familiar topic in the criticism in Sister Carrie. However, how it could be re-viewed in the context of the consumer society is relalively a new issue. This paper attempts to analyze the interpersonal relationship in the context of a consumer society. It explores the consumer society's influences on the lovers and family. In addition, it points out Dreiser's ambivalent attitude towards consumer ideology.

  10. Functional analysis of prognostic gene expression network genes in metastatic breast cancer models.

    Directory of Open Access Journals (Sweden)

    Thomas R Geiger

    Full Text Available Identification of conserved co-expression networks is a useful tool for clustering groups of genes enriched for common molecular or cellular functions [1]. The relative importance of genes within networks can frequently be inferred by the degree of connectivity, with those displaying high connectivity being significantly more likely to be associated with specific molecular functions [2]. Previously we utilized cross-species network analysis to identify two network modules that were significantly associated with distant metastasis free survival in breast cancer. Here, we validate one of the highly connected genes as a metastasis associated gene. Tpx2, the most highly connected gene within a proliferation network specifically prognostic for estrogen receptor positive (ER+ breast cancers, enhances metastatic disease, but in a tumor autonomous, proliferation-independent manner. Histologic analysis suggests instead that variation of TPX2 levels within disseminated tumor cells may influence the transition between dormant to actively proliferating cells in the secondary site. These results support the co-expression network approach for identification of new metastasis-associated genes to provide new information regarding the etiology of breast cancer progression and metastatic disease.

  11. Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia.

    Science.gov (United States)

    Lips, E S; Cornelisse, L N; Toonen, R F; Min, J L; Hultman, C M; Holmans, P A; O'Donovan, M C; Purcell, S M; Smit, A B; Verhage, M; Sullivan, P F; Visscher, P M; Posthuma, D

    2012-10-01

    Schizophrenia is a highly heritable disorder with a polygenic pattern of inheritance and a population prevalence of ~1%. Previous studies have implicated synaptic dysfunction in schizophrenia. We tested the accumulated association of genetic variants in expert-curated synaptic gene groups with schizophrenia in 4673 cases and 4965 healthy controls, using functional gene group analysis. Identifying groups of genes with similar cellular function rather than genes in isolation may have clinical implications for finding additional drug targets. We found that a group of 1026 synaptic genes was significantly associated with the risk of schizophrenia (P=7.6 × 10(-11)) and more strongly associated than 100 randomly drawn, matched control groups of genetic variants (P<0.01). Subsequent analysis of synaptic subgroups suggested that the strongest association signals are derived from three synaptic gene groups: intracellular signal transduction (P=2.0 × 10(-4)), excitability (P=9.0 × 10(-4)) and cell adhesion and trans-synaptic signaling (P=2.4 × 10(-3)). These results are consistent with a role of synaptic dysfunction in schizophrenia and imply that impaired intracellular signal transduction in synapses, synaptic excitability and cell adhesion and trans-synaptic signaling play a role in the pathology of schizophrenia.

  12. A multicolor panel of novel lentiviral "gene ontology" (LeGO) vectors for functional gene analysis.

    Science.gov (United States)

    Weber, Kristoffer; Bartsch, Udo; Stocking, Carol; Fehse, Boris

    2008-04-01

    Functional gene analysis requires the possibility of overexpression, as well as downregulation of one, or ideally several, potentially interacting genes. Lentiviral vectors are well suited for this purpose as they ensure stable expression of complementary DNAs (cDNAs), as well as short-hairpin RNAs (shRNAs), and can efficiently transduce a wide spectrum of cell targets when packaged within the coat proteins of other viruses. Here we introduce a multicolor panel of novel lentiviral "gene ontology" (LeGO) vectors designed according to the "building blocks" principle. Using a wide spectrum of different fluorescent markers, including drug-selectable enhanced green fluorescent protein (eGFP)- and dTomato-blasticidin-S resistance fusion proteins, LeGO vectors allow simultaneous analysis of multiple genes and shRNAs of interest within single, easily identifiable cells. Furthermore, each functional module is flanked by unique cloning sites, ensuring flexibility and individual optimization. The efficacy of these vectors for analyzing multiple genes in a single cell was demonstrated in several different cell types, including hematopoietic, endothelial, and neural stem and progenitor cells, as well as hepatocytes. LeGO vectors thus represent a valuable tool for investigating gene networks using conditional ectopic expression and knock-down approaches simultaneously.

  13. Environmental indicators for sustainability: a strategic analysis for the sugarcane ethanol context in Brazil.

    Science.gov (United States)

    Gomes, Priscila; Malheiros, Tadeu; Fernandes, Valdir; Sobral, Maria do Carmo

    2016-01-01

    Sugarcane ethanol is considered a renewable energy source and has emerged as a potential alternative to reduce dependency on fossil fuels, particularly in Brazil. However, there are some questions about how sustainable this energy source is, given the impacts from its production and use on a larger scale. To understand and achieve sustainability, it is essential to build tools that can assess an integrated conception and help decision-makers to establish public policies for a sustainable development. The indicators appear as such tools by capturing the complexity without reducing the significance of each system's component. The environmental indicators such as water quality indicator represent the level of water pollution, considering several parameters. The importance of the development, selection and validation of environmental indicators through a structured and cohesive process becomes essential. In the State of São Paulo, in Brazil, the environmental indicators, as well as policies based on them, are defined by the Environmental Secretariat (SMA/SP). This article presents an environmental indicator's evaluation method and reports based on the discussions about sustainability for the ethanol sugarcane context in the State of São Paulo. The method consists of interviews and an expert's workshop which pointed out a set of benchmarks for the evaluation of environmental indicators. The procedures were applied to an indicator used by the SMA/SP to illustrate the method's effectiveness. The results show that a strategic analysis framework can improve the environmental indicators required for the discussion on sustainability, providing a better guide to decision-makers.

  14. THE INFLUENCE OF CULTURAL VARIABLES ON SUSTAINABLE DEVELOPMENT. AN ANALYSIS IN THE EUROPEAN CONTEXT

    Directory of Open Access Journals (Sweden)

    Mihai TALMACIU

    2015-10-01

    Full Text Available Economic and social cohesion policy is the most important of EU policies to mitigate inequalities in economic development between member states, which tend to increase in the context of globalization. For this reason it becomes increasingly important to identify the causes of underdevelopment of lagging countries or regions, by analyzing the influence of economic, socio demographic, cultural, institutional and political variables on growth and development. Economic development is an evolutionary process in which people / society is the purpose and means, causes and effects thereof. The sustainable development must be an anthropocentric one, because the human factor has the decisive role in ensuring its success. In nowadays the economic progress of lagging countries or regions dramatically depends on their ability to harness the potential of creativity, skills and abilities of the human factor, by promoting those cultural values that can contribute to the higher growth. The development can be boosted when the population is driven by a strong work ethic, fierce desire to learn from the experiences of other countries, the attachment to the principles of quality and professional excellence, etc., and all this are closely related to the cultural matrix of the country. This article aims to identify the cultural aspects with a major impact on national or regional economic development and to provide an analysis of the implications of cultural differences between EU countries on disparities in development. In order to achieve these objectives will be used data on the situation of development indices (HDI, Legatum Prosperity Index, etc. and regarding the situation of some cultural variables in European countries, offered by the World Values Survey.

  15. LINGUISTIC ANALYSIS OF THE NUCLEOPROTEIN GENE OF INFLUENZA A VIRUS

    Energy Technology Data Exchange (ETDEWEB)

    A. SKOURIKHINE; T. BURR

    2000-05-01

    We applied linguistic analysis approach, specifically N-grams, to classify nucleotide and amino acids sequences of nucleoprotein (NP) gene of the Influenza A virus isolated from a range of hosts and geographic regions. We considered letter frequency (1-grams), letter pairs frequency (2-grams) and triplets' frequency (3-grams). Classification trees based on 1,2,3-grams variables were constructed for the same NP nucleotide and amino acids strains and their classification efficiency were compared with the clustering obtained using phylogenetic analysis. The results have shown that disregarding positional information for a NP gene can provide the same level of recognition accuracy like alternative more complex classification techniques.

  16. High-throughput Binary Vectors for Plant Gene Function Analysis

    Institute of Scientific and Technical Information of China (English)

    Zhi-Yong Lei; Ping Zhao; Min-Jie Cao; Rong Cui; Xi Chen; Li-Zhong Xiong; Qi-Fa Zhang; David J. Oliver; Cheng-Bin Xiang

    2007-01-01

    A series of high-throughput binary cloning vectors were constructed to facilitate gene function analysis in higher plants. This vector series consists of plasmids designed for plant expression, promoter analysis, gene silencing,and green fluorescent protein fusions for protein localization. These vectors provide for high-throughput and efficient cloning utilizing sites for λ phage integrase/excisionase. In addition, unique restriction sites are incorporated in a multiple cloning site and enable promoter replacement. The entire vector series are available with complete sequence information and detailed annotations and are freely distributed to the scientific community for non-commercial uses.

  17. Meta-analysis based variable selection for gene expression data.

    Science.gov (United States)

    Li, Quefeng; Wang, Sijian; Huang, Chiang-Ching; Yu, Menggang; Shao, Jun

    2014-12-01

    Recent advance in biotechnology and its wide applications have led to the generation of many high-dimensional gene expression data sets that can be used to address similar biological questions. Meta-analysis plays an important role in summarizing and synthesizing scientific evidence from multiple studies. When the dimensions of datasets are high, it is desirable to incorporate variable selection into meta-analysis to improve model interpretation and prediction. According to our knowledge, all existing methods conduct variable selection with meta-analyzed data in an "all-in-or-all-out" fashion, that is, a gene is either selected in all of studies or not selected in any study. However, due to data heterogeneity commonly exist in meta-analyzed data, including choices of biospecimens, study population, and measurement sensitivity, it is possible that a gene is important in some studies while unimportant in others. In this article, we propose a novel method called meta-lasso for variable selection with high-dimensional meta-analyzed data. Through a hierarchical decomposition on regression coefficients, our method not only borrows strength across multiple data sets to boost the power to identify important genes, but also keeps the selection flexibility among data sets to take into account data heterogeneity. We show that our method possesses the gene selection consistency, that is, when sample size of each data set is large, with high probability, our method can identify all important genes and remove all unimportant genes. Simulation studies demonstrate a good performance of our method. We applied our meta-lasso method to a meta-analysis of five cardiovascular studies. The analysis results are clinically meaningful.

  18. Prosecutor : parameter-free inference of gene function for prokaryotes using DNA microarray data, genomic context and multiple gene annotation sources

    NARCIS (Netherlands)

    Blom, E.J.; Breitling, R.; Hofstede, K.J.; Roerdink, J.B.T.M.; van Hijum, S.A F T; Kuipers, O.P.

    2008-01-01

    Background: Despite a plethora of functional genomic efforts, the function of many genes in sequenced genomes remains unknown. The increasing amount of microarray data for many species allows employing the guilt-by-association principle to predict function on a large scale: genes exhibiting similar

  19. Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer.

    Science.gov (United States)

    Bi, Dongbin; Ning, Hao; Liu, Shuai; Que, Xinxiang; Ding, Kejia

    2015-06-01

    To explore molecular mechanisms of bladder cancer (BC), network strategy was used to find biomarkers for early detection and diagnosis. The differentially expressed genes (DEGs) between bladder carcinoma patients and normal subjects were screened using empirical Bayes method of the linear models for microarray data package. Co-expression networks were constructed by differentially co-expressed genes and links. Regulatory impact factors (RIF) metric was used to identify critical transcription factors (TFs). The protein-protein interaction (PPI) networks were constructed by the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and clusters were obtained through molecular complex detection (MCODE) algorithm. Centralities analyses for complex networks were performed based on degree, stress and betweenness. Enrichment analyses were performed based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Co-expression networks and TFs (based on expression data of global DEGs and DEGs in different stages and grades) were identified. Hub genes of complex networks, such as UBE2C, ACTA2, FABP4, CKS2, FN1 and TOP2A, were also obtained according to analysis of degree. In gene enrichment analyses of global DEGs, cell adhesion, proteinaceous extracellular matrix and extracellular matrix structural constituent were top three GO terms. ECM-receptor interaction, focal adhesion, and cell cycle were significant pathways. Our results provide some potential underlying biomarkers of BC. However, further validation is required and deep studies are needed to elucidate the pathogenesis of BC. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. A new gene superfamily of pathogen-response (repat) genes in Lepidoptera: classification and expression analysis.

    Science.gov (United States)

    Navarro-Cerrillo, G; Hernández-Martínez, P; Vogel, H; Ferré, J; Herrero, S

    2013-01-01

    Repat (REsponse to PAThogens) genes were first identified in the midgut of Spodoptera exigua (Lepidoptera: Noctuidae) in response to Bacillus thuringiensis and baculovirus exposure. Since then, additional repat gene homologs have been identified in different studies. In this study the comprehensive larval transcriptome from S. exigua was analyzed for the presence of novel repat-homolog sequences. These analyses revealed the presence of at least 46 repat genes in S. exigua, establishing a new gene superfamily in this species. Phylogenetic analysis and studies of conserved motifs in these hypothetical proteins have allowed their classification in two main classes, αREPAT and βREPAT. Studies on the transcriptional response of repat genes have shown that αREPAT and βREPAT differ in their sequence but also in the pattern of regulation. The αREPAT were mainly regulated in response to the Cry1Ca toxin from B. thuringiensis but not to the increase in the midgut microbiota load. In contrast, βREPAT were neither responding to Cry1Ca toxin nor to midgut microbiota. Differential expression between midgut stem cells and the whole midgut tissue was studied for the different repat genes revealing changes in the gene expression distribution between midgut stem cells and midgut tissue in response to midgut microbiota. This high diversity found in their sequence and in their expression profile suggests that REPAT proteins may be involved in multiple processes that could be of relevance for the understanding of the insect gut physiology.

  1. Quantitative DNA methylation analysis of candidate genes in cervical cancer.

    Directory of Open Access Journals (Sweden)

    Erin M Siegel

    Full Text Available Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2. A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97-1.00, p-value = 0.003. Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated.

  2. Quantitative DNA methylation analysis of candidate genes in cervical cancer.

    Science.gov (United States)

    Siegel, Erin M; Riggs, Bridget M; Delmas, Amber L; Koch, Abby; Hakam, Ardeshir; Brown, Kevin D

    2015-01-01

    Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2). A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site) per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC) of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97-1.00, p-value = 0.003). Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated.

  3. Candidate gene analysis of GH1 for effects on growth and carcass composition of cattle.

    Science.gov (United States)

    Taylor, J F; Coutinho, L L; Herring, K L; Gallagher, D S; Brenneman, R A; Burney, N; Sanders, J O; Turner, J W; Smith, S B; Miller, R K; Savell, J W; Davis, S K

    1998-06-01

    We present an approach to evaluate the support for candidate genes as quantitative trait loci (QTLs) within the context of genome-wide map-based cloning strategies. To establish candidacy, a bacterial artificial chromosome (BAC) clone containing a putative candidate gene is physically assigned to an anchored linkage map to localise the gene relative to an identified QTL effect. Microsatellite loci derived from BAC clones containing an established candidate gene are integrated into the linkage map facilitating the evaluation by interval analysis of the statistical support for QTL identity. Permutation analysis is employed to determine experiment-wise statistical support. The approach is illustrated for the growth hormone 1 (GH1) gene and growth and carcass phenotypes in cattle. Polymerase chain reaction (PCR) primers which amplify a 441 bp fragment of GH1 were used to systematically screen a bovine BAC library comprising 60,000 clones and with a 95% probability of containing a single copy sequence. The presence of GH1 in BAC-110R2C3 was confirmed by sequence analysis of the PCR product from this clone and by the physical assignment of BAC110R2C3 to bovine chromosome 19 (BTA19) band 22 by fluorescence in situ hybridisation (FISH). Microsatellite KHGH1 was isolated from BAC110R2C3 and scored in 529 reciprocal backcross and F2 fullsib progeny from 41 resource families derived from Angus (Bos taurus) and Brahman (Bos indicus). The microsatellite KHGH1 was incorporated into a framework genetic map of BTA19 comprising 12 microsatellite loci, the erythrocyte antigen T and a GH1-TaqI restriction fragment length polymorphism (RFLP). Interval analysis localised effects of taurus vs. indicus alleles on subcutaneous fat and the percentage of either extractable fat from the Iongissimus dorsi muscle to the region of BTA19 harbouring GH1.

  4. Identifying glioblastoma gene networks based on hypergeometric test analysis.

    Directory of Open Access Journals (Sweden)

    Vasileios Stathias

    Full Text Available Patient specific therapy is emerging as an important possibility for many cancer patients. However, to identify such therapies it is essential to determine the genomic and transcriptional alterations present in one tumor relative to control samples. This presents a challenge since use of a single sample precludes many standard statistical analysis techniques. We reasoned that one means of addressing this issue is by comparing transcriptional changes in one tumor with those observed in a large cohort of patients analyzed by The Cancer Genome Atlas (TCGA. To test this directly, we devised a bioinformatics pipeline to identify differentially expressed genes in tumors resected from patients suffering from the most common malignant adult brain tumor, glioblastoma (GBM. We performed RNA sequencing on tumors from individual GBM patients and filtered the results through the TCGA database in order to identify possible gene networks that are overrepresented in GBM samples relative to controls. Importantly, we demonstrate that hypergeometric-based analysis of gene pairs identifies gene networks that validate experimentally. These studies identify a putative workflow for uncovering differentially expressed patient specific genes and gene networks for GBM and other cancers.

  5. Functional analysis of soybean genes involved in flavonoid biosynthesis by virus-induced gene silencing.

    Science.gov (United States)

    Nagamatsu, Atsushi; Masuta, Chikara; Senda, Mineo; Matsuura, Hideyuki; Kasai, Atsushi; Hong, Jin-Sung; Kitamura, Keisuke; Abe, Jun; Kanazawa, Akira

    2007-11-01

    Virus-induced gene silencing (VIGS) is a powerful tool for functional analysis of genes in plants. A wide-host-range VIGS vector, which was developed based on the Cucumber mosaic virus (CMV), was tested for its ability to silence endogenous genes involved in flavonoid biosynthesis in soybean. Symptomless infection was established using a pseudorecombinant virus, which enabled detection of specific changes in metabolite content by VIGS. It has been demonstrated that the yellow seed coat phenotype of various cultivated soybean lines that lack anthocyanin pigmentation is induced by natural degradation of chalcone synthase (CHS) mRNA. When soybean plants with brown seed coats were infected with a virus that contains the CHS gene sequence, the colour of the seed coats changed to yellow, which indicates that the naturally occurring RNA silencing is reproduced by VIGS. In addition, CHS VIGS consequently led to a decrease in isoflavone content in seeds. VIGS was also tested on the putative flavonoid 3'-hydroxylase (F3'H) gene in the pathway. This experiment resulted in a decrease in the content of quercetin relative to kaempferol in the upper leaves after viral infection, which suggests that the putative gene actually encodes the F3'H protein. In both experiments, a marked decrease in the target mRNA and accumulation of short interfering RNAs were detected, indicating that sequence-specific mRNA degradation was induced. The present report is a successful demonstration of the application of VIGS for genes involved in flavonoid biosynthesis in plants; the CMV-based VIGS system provides an efficient tool for functional analysis of soybean genes.

  6. COST - EFFECTIVENESS ANALYSIS IN CONTEXT OF THE NEW LEGISLATION ON ENERGY EFFICIENCY

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    Ionescu Sas Mihaela

    2015-07-01

    Full Text Available In this paper the author presents some aspects of a broader analysis on the macroeconomic effects it generates new energy regulations on energy efficiency in the European Union. Are presented for this purpose EU targets for achieving targets 20% reduction in energy consumption by 2020 and improve the prospect of cuts in 2030. In a time when environmental concerns, economic and social becoming increasingly important, being represented by climate change or the endangering energy security, resource depletion or ability to pay energy bills, reduce energy consumption in buildings and industrial sector of strategic importance, both nationally and internationally. In addition to efforts to build new buildings and industrial facilities with low energy requirements, obtained from conventional sources of energy is essential to address the high levels of consumption of existing buildings and facilities. Improving the energy efficiency of the existing buildings and facilities is essential not only for achieving national targets for energy efficiency in the medium term, but also to meet long-term objectives of the strategy on climate change and the transition to a competitive, low carbon dioxide by 2030. The analysis consists in determining and assessing costs, benefits on energy efficiency in the European Union and national level. In Romania the gradual liberalization of the electricity market and gas is unsustainable in the context of the energy sector, which faces a variety of challenges, including high energy losses. In the medium term, the energy market liberalization leads to an appreciable increase in electricity prices, gas and heat, a process that takes place very late and that will put high pressure on the capacity of all energy consumers (industrial and residential to pay energy bills. An obvious solution, but not convenient, is to reduce energy consumption through energy efficiency or by reducing energy losses. The article ends with the

  7. Prioritisation and network analysis of Crohn's disease susceptibility genes.

    Directory of Open Access Journals (Sweden)

    Daniele Muraro

    Full Text Available Recent Genome-Wide Association Studies (GWAS have revealed numerous Crohn's disease susceptibility genes and a key challenge now is in understanding how risk polymorphisms in associated genes might contribute to development of this disease. For a gene to contribute to disease phenotype, its risk variant will likely adversely communicate with a variety of other gene products to result in dysregulation of common signaling pathways. A vital challenge is to elucidate pathways of potentially greatest influence on pathological behaviour, in a manner recognizing how multiple relevant genes may yield integrative effect. In this work we apply mathematical analysis of networks involving the list of recently described Crohn's susceptibility genes, to prioritise pathways in relation to their potential development of this disease. Prioritisation was performed by applying a text mining and a diffusion based method (GRAIL, GPEC. Prospective biological significance of the resulting prioritised list of proteins is highlighted by changes in their gene expression levels in Crohn's patients intestinal tissue in comparison with healthy donors.

  8. CANDIDATE GENE ANALYSIS IN ISRAELI SOLDIERS WITH STRESS FRACTURES

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    Ran Yanovich

    2012-03-01

    Full Text Available To investigate the association of polymorphisms within candidate genes which we hypothesized may contribute to stress fracture predisposition, a case-control, cross- sectional study design was employed. Genotyping 268 Single Nucleotide Polymorphisms- SNPs within 17 genes in 385 Israeli young male and female recruits (182 with and 203 without stress fractures. Twenty-five polymorphisms within 9 genes (NR3C1, ANKH, VDR, ROR2, CALCR, IL6, COL1A2, CBG, and LRP4 showed statistically significant differences (p < 0.05 in the distribution between stress fracture cases and non stress fracture controls. Seventeen genetic variants were associated with an increased stress fracture risk, and eight variants with a decreased stress fracture risk. None of the SNP associations remained significant after correcting for multiple comparisons (false discovery rate- FDR. Our findings suggest that genes may be involved in stress fracture pathogenesis. Specifically, the CALCR and the VDR genes are intriguing candidates. The putative involvement of these genes in stress fracture predisposition requires analysis of more cases and controls and sequencing the relevant genomic regions, in order to define the specific gene mutations

  9. Does your gene need a background check? How genetic background impacts the analysis of mutations, genes, and evolution.

    Science.gov (United States)

    Chandler, Christopher H; Chari, Sudarshan; Dworkin, Ian

    2013-06-01

    The premise of genetic analysis is that a causal link exists between phenotypic and allelic variation. However, it has long been documented that mutant phenotypes are not a simple result of a single DNA lesion, but are instead due to interactions of the focal allele with other genes and the environment. Although an experimentally rigorous approach focused on individual mutations and isogenic control strains has facilitated amazing progress within genetics and related fields, a glimpse back suggests that a vast complexity has been omitted from our current understanding of allelic effects. Armed with traditional genetic analyses and the foundational knowledge they have provided, we argue that the time and tools are ripe to return to the underexplored aspects of gene function and embrace the context-dependent nature of genetic effects. We assert that a broad understanding of genetic effects and the evolutionary dynamics of alleles requires identifying how mutational outcomes depend upon the 'wild type' genetic background. Furthermore, we discuss how best to exploit genetic background effects to broaden genetic research programs.

  10. Inferring hypotheses on functional relationships of genes: Analysis of the Arabidopsis thaliana subtilase gene family.

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    Carsten Rautengarten

    2005-09-01

    Full Text Available The gene family of subtilisin-like serine proteases (subtilases in Arabidopsis thaliana comprises 56 members, divided into six distinct subfamilies. Whereas the members of five subfamilies are similar to pyrolysins, two genes share stronger similarity to animal kexins. Mutant screens confirmed 144 T-DNA insertion lines with knockouts for 55 out of the 56 subtilases. Apart from SDD1, none of the confirmed homozygous mutants revealed any obvious visible phenotypic alteration during growth under standard conditions. Apart from this specific case, forward genetics gave us no hints about the function of the individual 54 non-characterized subtilase genes. Therefore, the main objective of our work was to overcome the shortcomings of the forward genetic approach and to infer alternative experimental approaches by using an integrative bioinformatics and biological approach. Computational analyses based on transcriptional co-expression and co-response pattern revealed at least two expression networks, suggesting that functional redundancy may exist among subtilases with limited similarity. Furthermore, two hubs were identified, which may be involved in signalling or may represent higher-order regulatory factors involved in responses to environmental cues. A particular enrichment of co-regulated genes with metabolic functions was observed for four subtilases possibly representing late responsive elements of environmental stress. The kexin homologs show stronger associations with genes of transcriptional regulation context. Based on the analyses presented here and in accordance with previously characterized subtilases, we propose three main functions of subtilases: involvement in (i control of development, (ii protein turnover, and (iii action as downstream components of signalling cascades. Supplemental material is available in the Plant Subtilase Database (PSDB (http://csbdb.mpimp-golm.mpg.de/psdb.html, as well as from the CSB.DB (http://csbdb.mpimp-golm.mpg.de.

  11. Inferring Hypotheses on Functional Relationships of Genes: Analysis of the Arabidopsis thaliana Subtilase Gene Family.

    Directory of Open Access Journals (Sweden)

    2005-09-01

    Full Text Available The gene family of subtilisin-like serine proteases (subtilases in Arabidopsis thaliana comprises 56 members, divided into six distinct subfamilies. Whereas the members of five subfamilies are similar to pyrolysins, two genes share stronger similarity to animal kexins. Mutant screens confirmed 144 T-DNA insertion lines with knockouts for 55 out of the 56 subtilases. Apart from SDD1, none of the confirmed homozygous mutants revealed any obvious visible phenotypic alteration during growth under standard conditions. Apart from this specific case, forward genetics gave us no hints about the function of the individual 54 non-characterized subtilase genes. Therefore, the main objective of our work was to overcome the shortcomings of the forward genetic approach and to infer alternative experimental approaches by using an integrative bioinformatics and biological approach. Computational analyses based on transcriptional co-expression and co-response pattern revealed at least two expression networks, suggesting that functional redundancy may exist among subtilases with limited similarity. Furthermore, two hubs were identified, which may be involved in signalling or may represent higher-order regulatory factors involved in responses to environmental cues. A particular enrichment of co-regulated genes with metabolic functions was observed for four subtilases possibly representing late responsive elements of environmental stress. The kexin homologs show stronger associations with genes of transcriptional regulation context. Based on the analyses presented here and in accordance with previously characterized subtilases, we propose three main functions of subtilases: involvement in (i control of development, (ii protein turnover, and (iii action as downstream components of signalling cascades. Supplemental material is available in the Plant Subtilase Database (PSDB (http://csbdb.mpimp-golm.mpg.de/psdb.html , as well as from the CSB.DB (http://csbdb.mpimp-golm.mpg.de.

  12. Comparative and functional analysis of cardiovascular-related genes

    Energy Technology Data Exchange (ETDEWEB)

    Cheng, Jan-Fang; Pennacchio, Len A.

    2003-09-01

    The ability to detect putative cis-regulatory elements in cardiovascular-related genes has been accelerated by the availability of genomic sequence data from numerous vertebrate species and the recent development of comparative genomic tools. This improvement is anticipated to lead to a better understanding of the complex regulatory architecture of cardiovascular (CV) genes and how genetic variants in these non-coding regions can potentially play a role in cardiovascular disease. This manuscript reviews a recently established database dedicated to the comparative sequence analysis of 250 human CV genes of known importance, 37 of which currently contain sequence comparison data for organisms beyond those of human, mouse and rat. These data have provided a glimpse into the variety of possible insights from deep vertebrate sequence comparisons and the identification of putative gene regulatory elements.

  13. Putative psychosis genes in the prefrontal cortex: combined analysis of gene expression microarrays

    Directory of Open Access Journals (Sweden)

    Yolken Robert H

    2008-11-01

    Full Text Available Abstract Background Recent studies have shown similarities between schizophrenia and bipolar disorder in phenotypes and in genotypes, and those studies have contributed to an ongoing re-evaluation of the traditional dichotomy between schizophrenia and bipolar disorder. Bipolar disorder with psychotic features may be closely related to schizophrenia and therefore, psychosis may be an alternative phenotype compared to the traditional diagnosis categories. Methods We performed a cross-study analysis of 7 gene expression microarrays that include both psychosis and non-psychosis subjects. These studies include over 400 microarray samples (163 individual subjects on 3 different Affymetrix microarray platforms. Results We found that 110 transcripts are differentially regulated (p Conclusion This study demonstrates the advantages of cross-study analysis in detecting consensus changes in gene expression across multiple microarray studies. Differential gene expression between individuals with and without psychosis suggests that psychosis may be a useful phenotypic variable to complement the traditional diagnosis categories.

  14. Coupled Two-Way Clustering Analysis of Gene Microarray Data

    CERN Document Server

    Getz, G; Domany, E

    2000-01-01

    We present a novel coupled two-way clustering approach to gene microarray data analysis. The main idea is to identify subsets of the genes and samples, such that when one of these is used to cluster the other, stable and significant partitions emerge. The search for such subsets is a computationally complex task: we present an algorithm, based on iterative clustering, which performs such a search. This analysis is especially suitable for gene microarray data, where the contributions of a variety of biological mechanisms to the gene expression levels are entangled in a large body of experimental data. The method was applied to two gene microarray data sets, on colon cancer and leukemia. By identifying relevant subsets of the data and focusing on them we were able to discover partitions and correlations that were masked and hidden when the full dataset was used in the analysis. Some of these partitions have clear biological interpretation; others can serve to identify possible directions for future research.

  15. Coupled two-way clustering analysis of gene microarray data

    Science.gov (United States)

    Getz, Gad; Levine, Erel; Domany, Eytan

    2000-10-01

    We present a coupled two-way clustering approach to gene microarray data analysis. The main idea is to identify subsets of the genes and samples, such that when one of these is used to cluster the other, stable and significant partitions emerge. The search for such subsets is a computationally complex task. We present an algorithm, based on iterative clustering, that performs such a search. This analysis is especially suitable for gene microarray data, where the contributions of a variety of biological mechanisms to the gene expression levels are entangled in a large body of experimental data. The method was applied to two gene microarray data sets, on colon cancer and leukemia. By identifying relevant subsets of the data and focusing on them we were able to discover partitions and correlations that were masked and hidden when the full dataset was used in the analysis. Some of these partitions have clear biological interpretation; others can serve to identify possible directions for future research.

  16. Identification of differentially expressed genes in mouse kidney after irradiation using microarray analysis.

    Science.gov (United States)

    Kruse, Jacqueline J C M; te Poele, Johannes A M; Velds, Arno; Kerkhoven, Ron M; Boersma, Liesbeth J; Russell, Nicola S; Stewart, Fiona A

    2004-01-01

    Irradiation of the kidney induces dose-dependent, progressive renal functional impairment, which is partly mediated by vascular damage. The molecular mechanisms underlying the development of radiation-induced nephropathy are unclear. Given the complexity of radiation-induced responses, microarrays may offer new opportunities to identify a wider range of genes involved in the development of radiation injury. The aim of the present study was to determine whether microarrays are a useful tool for identifying time-related changes in gene expression and potential mechanisms of radiation-induced nephropathy. Microarray experiments were performed using amplified RNA from irradiated mouse kidneys (1 x 16 Gy) and from sham-irradiated control tissue at different intervals (1-30 weeks) after irradiation. After normalization procedures (using information from straight-color, color-reverse and self-self experiments), the differentially expressed genes were identified. Control and repeat experiments were done to confirm that the observations were not artifacts of the array procedure (RNA amplification, probe synthesis, hybridizations and data analysis). To provide independent confirmation of microarray data, semi-quantitative PCR was performed on a selection of genes. At 1 week after irradiation (before the onset of vascular and functional damage), 16 genes were significantly up-regulated and 9 genes were down-regulated. During the period of developing nephropathy (10 to 20 weeks), 31 and 42 genes were up-regulated and 9 and 4 genes were down-regulated. At the later time of 30 weeks, the vast majority of differentially expressed genes (191 out of 203) were down-regulated. Potential genes of interest included TSA-1 (also known as Ly6e) and Jagged 1 (Jag1). Increased expression of TSA-1, a member of the Ly-6 family, has previously been reported in response to proteinuria. Jagged 1, a ligand for the Notch receptor, is known to play a role in angiogenesis, and is particularly

  17. Descriptive analysis of context evaluation instrument for technical oral presentation skills evaluation: A case study in English technical communication course

    Science.gov (United States)

    Mohamed, Abdullah-Adnan; Asmawi, Adelina; Hamid, Mohd Rashid Ab; Mustafa, Zainol bin

    2015-02-01

    This paper reports a pilot study of Context Evaluation using a self-developed questionnaire distributed among engineering undergraduates at a university under study. The study aims to validate the self-developed questionnaires used in the Context evaluation, a component in the CIPP Model. The Context evaluation assesses background information for needs, assets, problems and opportunities relevant to beneficiaries of the study in a defined environment. Through the questionnaire, background information for the assessment of needs, assets and problems related to the engineering undergraduates' perceptions on the teaching and learning of technical oral presentation skills was collected and analysed. The questionnaire was developed using 5-points Likert scale to measure the constructs under study. They were distributed to 100 respondents with 79 returned. The respondents consisted of engineering undergraduates studied at various faculties at one technical university in Malaysia. The descriptive analysis of data for each item which makes up the construct for Context evaluation is found to be high. This implied that engineering undergraduates showed high interest in teaching and learning of technical oral presentation skills, thus their needs are met. Also, they agreed that assets and facilities are conducive to their learning. In conclusion, the context evaluation involving needs and assets factors are both considerably important; their needs are met and the assets and facilities do support their technical oral presentation skills learning experience.

  18. Differentially expressed genes in pancreatic ductal adenocarcinomas identified through serial analysis of gene expression

    DEFF Research Database (Denmark)

    Hustinx, Steven R; Cao, Dengfeng; Maitra, Anirban;

    2004-01-01

    Serial analysis of gene expression (SAGE) is a powerful tool for the discovery of novel tumor markers. The publicly available online SAGE libraries of normal and neoplastic tissues (http://www.ncbi.nlm.nih.gov/SAGE/) have recently been expanded; in addition, a more complete annotation of the human...

  19. DGCA: A comprehensive R package for Differential Gene Correlation Analysis.

    Science.gov (United States)

    McKenzie, Andrew T; Katsyv, Igor; Song, Won-Min; Wang, Minghui; Zhang, Bin

    2016-11-15

    Dissecting the regulatory relationships between genes is a critical step towards building accurate predictive models of biological systems. A powerful approach towards this end is to systematically study the differences in correlation between gene pairs in more than one distinct condition. In this study we develop an R package, DGCA (for Differential Gene Correlation Analysis), which offers a suite of tools for computing and analyzing differential correlations between gene pairs across multiple conditions. To minimize parametric assumptions, DGCA computes empirical p-values via permutation testing. To understand differential correlations at a systems level, DGCA performs higher-order analyses such as measuring the average difference in correlation and multiscale clustering analysis of differential correlation networks. Through a simulation study, we show that the straightforward z-score based method that DGCA employs significantly outperforms the existing alternative methods for calculating differential correlation. Application of DGCA to the TCGA RNA-seq data in breast cancer not only identifies key changes in the regulatory relationships between TP53 and PTEN and their target genes in the presence of inactivating mutations, but also reveals an immune-related differential correlation module that is specific to triple negative breast cancer (TNBC). DGCA is an R package for systematically assessing the difference in gene-gene regulatory relationships under different conditions. This user-friendly, effective, and comprehensive software tool will greatly facilitate the application of differential correlation analysis in many biological studies and thus will help identification of novel signaling pathways, biomarkers, and targets in complex biological systems and diseases.

  20. Context-dependent expression of the foraging gene in field colonies of ants: the interacting roles of age, environment and task.

    Science.gov (United States)

    Ingram, Krista K; Gordon, Deborah M; Friedman, Daniel A; Greene, Michael; Kahler, John; Peteru, Swetha

    2016-08-31

    Task allocation among social insect workers is an ideal framework for studying the molecular mechanisms underlying behavioural plasticity because workers of similar genotype adopt different behavioural phenotypes. Elegant laboratory studies have pioneered this effort, but field studies involving the genetic regulation of task allocation are rare. Here, we investigate the expression of the foraging gene in harvester ant workers from five age- and task-related groups in a natural population, and we experimentally test how exposure to light affects foraging expression in brood workers and foragers. Results from our field study show that the regulation of the foraging gene in harvester ants occurs at two time scales: levels of foraging mRNA are associated with ontogenetic changes over weeks in worker age, location and task, and there are significant daily oscillations in foraging expression in foragers. The temporal dissection of foraging expression reveals that gene expression changes in foragers occur across a scale of hours and the level of expression is predicted by activity rhythms: foragers have high levels of foraging mRNA during daylight hours when they are most active outside the nests. In the experimental study, we find complex interactions in foraging expression between task behaviour and light exposure. Oscillations occur in foragers following experimental exposure to 13 L : 11 D (LD) conditions, but not in brood workers under similar conditions. No significant differences were seen in foraging expression over time in either task in 24 h dark (DD) conditions. Interestingly, the expression of foraging in both undisturbed field and experimentally treated foragers is also significantly correlated with the expression of the circadian clock gene, cycle Our results provide evidence that the regulation of this gene is context-dependent and associated with both ontogenetic and daily behavioural plasticity in field colonies of harvester ants. Our results underscore

  1. Integrative analysis of RUNX1 downstream pathways and target genes

    Science.gov (United States)

    Michaud, Joëlle; Simpson, Ken M; Escher, Robert; Buchet-Poyau, Karine; Beissbarth, Tim; Carmichael, Catherine; Ritchie, Matthew E; Schütz, Frédéric; Cannon, Ping; Liu, Marjorie; Shen, Xiaofeng; Ito, Yoshiaki; Raskind, Wendy H; Horwitz, Marshall S; Osato, Motomi; Turner, David R; Speed, Terence P; Kavallaris, Maria; Smyth, Gordon K; Scott, Hamish S

    2008-01-01

    Background The RUNX1 transcription factor gene is frequently mutated in sporadic myeloid and lymphoid leukemia through translocation, point mutation or amplification. It is also responsible for a familial platelet disorder with predisposition to acute myeloid leukemia (FPD-AML). The disruption of the largely unknown biological pathways controlled by RUNX1 is likely to be responsible for the development of leukemia. We have used multiple microarray platforms and bioinformatic techniques to help identify these biological pathways to aid in the understanding of why RUNX1 mutations lead to leukemia. Results Here we report genes regulated either directly or indirectly by RUNX1 based on the study of gene expression profiles generated from 3 different human and mouse platforms. The platforms used were global gene expression profiling of: 1) cell lines with RUNX1 mutations from FPD-AML patients, 2) over-expression of RUNX1 and CBFβ, and 3) Runx1 knockout mouse embryos using either cDNA or Affymetrix microarrays. We observe that our datasets (lists of differentially expressed genes) significantly correlate with published microarray data from sporadic AML patients with mutations in either RUNX1 or its cofactor, CBFβ. A number of biological processes were identified among the differentially expressed genes and functional assays suggest that heterozygous RUNX1 point mutations in patients with FPD-AML impair cell proliferation, microtubule dynamics and possibly genetic stability. In addition, analysis of the regulatory regions of the differentially expressed genes has for the first time systematically identified numerous potential novel RUNX1 target genes. Conclusion This work is the first large-scale study attempting to identify the genetic networks regulated by RUNX1, a master regulator in the development of the hematopoietic system and leukemia. The biological pathways and target genes controlled by RUNX1 will have considerable importance in disease progression in both

  2. Biclustering methods: biological relevance and application in gene expression analysis.

    Directory of Open Access Journals (Sweden)

    Ali Oghabian

    Full Text Available DNA microarray technologies are used extensively to profile the expression levels of thousands of genes under various conditions, yielding extremely large data-matrices. Thus, analyzing this information and extracting biologically relevant knowledge becomes a considerable challenge. A classical approach for tackling this challenge is to use clustering (also known as one-way clustering methods where genes (or respectively samples are grouped together based on the similarity of their expression profiles across the set of all samples (or respectively genes. An alternative approach is to develop biclustering methods to identify local patterns in the data. These methods extract subgroups of genes that are co-expressed across only a subset of samples and may feature important biological or medical implications. In this study we evaluate 13 biclustering and 2 clustering (k-means and hierarchical methods. We use several approaches to compare their performance on two real gene expression data sets. For this purpose we apply four evaluation measures in our analysis: (1 we examine how well the considered (biclustering methods differentiate various sample types; (2 we evaluate how well the groups of genes discovered by the (biclustering methods are annotated with similar Gene Ontology categories; (3 we evaluate the capability of the methods to differentiate genes that are known to be specific to the particular sample types we study and (4 we compare the running time of the algorithms. In the end, we conclude that as long as the samples are well defined and annotated, the contamination of the samples is limited, and the samples are well replicated, biclustering methods such as Plaid and SAMBA are useful for discovering relevant subsets of genes and samples.

  3. Exploiting gene families for phylogenomic analysis of myzostomid transcriptome data.

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    Stefanie Hartmann

    Full Text Available BACKGROUND: In trying to understand the evolutionary relationships of organisms, the current flood of sequence data offers great opportunities, but also reveals new challenges with regard to data quality, the selection of data for subsequent analysis, and the automation of steps that were once done manually for single-gene analyses. Even though genome or transcriptome data is available for representatives of most bilaterian phyla, some enigmatic taxa still have an uncertain position in the animal tree of life. This is especially true for myzostomids, a group of symbiotic (or parasitic protostomes that are either placed with annelids or flatworms. METHODOLOGY: Based on similarity criteria, Illumina-based transcriptome sequences of one myzostomid were compared to protein sequences of one additional myzostomid and 29 reference metazoa and clustered into gene families. These families were then used to investigate the phylogenetic position of Myzostomida using different approaches: Alignments of 989 sequence families were concatenated, and the resulting superalignment was analyzed under a Maximum Likelihood criterion. We also used all 1,878 gene trees with at least one myzostomid sequence for a supertree approach: the individual gene trees were computed and then reconciled into a species tree using gene tree parsimony. CONCLUSIONS: Superalignments require strictly orthologous genes, and both the gene selection and the widely varying amount of data available for different taxa in our dataset may cause anomalous placements and low bootstrap support. In contrast, gene tree parsimony is designed to accommodate multilocus gene families and therefore allows a much more comprehensive data set to be analyzed. Results of this supertree approach showed a well-resolved phylogeny, in which myzostomids were part of the annelid radiation, and major bilaterian taxa were found to be monophyletic.

  4. Integrative analysis of RUNX1 downstream pathways and target genes

    Directory of Open Access Journals (Sweden)

    Liu Marjorie

    2008-07-01

    Full Text Available Abstract Background The RUNX1 transcription factor gene is frequently mutated in sporadic myeloid and lymphoid leukemia through translocation, point mutation or amplification. It is also responsible for a familial platelet disorder with predisposition to acute myeloid leukemia (FPD-AML. The disruption of the largely unknown biological pathways controlled by RUNX1 is likely to be responsible for the development of leukemia. We have used multiple microarray platforms and bioinformatic techniques to help identify these biological pathways to aid in the understanding of why RUNX1 mutations lead to leukemia. Results Here we report genes regulated either directly or indirectly by RUNX1 based on the study of gene expression profiles generated from 3 different human and mouse platforms. The platforms used were global gene expression profiling of: 1 cell lines with RUNX1 mutations from FPD-AML patients, 2 over-expression of RUNX1 and CBFβ, and 3 Runx1 knockout mouse embryos using either cDNA or Affymetrix microarrays. We observe that our datasets (lists of differentially expressed genes significantly correlate with published microarray data from sporadic AML patients with mutations in either RUNX1 or its cofactor, CBFβ. A number of biological processes were identified among the differentially expressed genes and functional assays suggest that heterozygous RUNX1 point mutations in patients with FPD-AML impair cell proliferation, microtubule dynamics and possibly genetic stability. In addition, analysis of the regulatory regions of the differentially expressed genes has for the first time systematically identified numerous potential novel RUNX1 target genes. Conclusion This work is the first large-scale study attempting to identify the genetic networks regulated by RUNX1, a master regulator in the development of the hematopoietic system and leukemia. The biological pathways and target genes controlled by RUNX1 will have considerable importance in disease

  5. HLA class II genes: typing by DNA analysis.

    Science.gov (United States)

    Bidwell, J L; Bidwell, E A; Bradley, B A

    1990-04-01

    A detailed understanding of the structure and function of the human major histocompatibility complex (MHC) has ensued from studies by molecular biologist during the last decade. Virtually all of the HLA genes have now been cloned, and the nucleotide sequences of their different allelic forms have been determined. Typing for these HLA alleles is a fundamental prerequisite for tissue matching in allogeneic organ transplantation. Until very recently, typing procedures have been dominated by serological and cellular methods. The availability of cloned DNA from HLA genes has now permitted the technique of restriction fragment length polymorphism (RFLP) analysis to be applied, with remarkable success and advantage, to phenotyping of both HLA Class I and Class II determinants. For the HLA Class II genes DR and DQ, a simple two-stage RFLP analysis permits the accurate identification of all specificities defined by serology, and of many which are defined by cellular typing. At the present time, however, RFLP typing of HLA Class I genes is not as practicable or as informative as that for HLA Class II genes. The present clinical applications of HLA-DR and DQ RFLP typing are predominantly in phenotyping of living donors, including selection of HLA-matched volunteer bone marrow donors, in allograft survival studies, and in studies of HLA Class II-associated diseases. However, the time taken to perform RFLP analysis precludes its use for the typing of cadaveric kidney donors. Nucleotide sequence data for the alleles of HLA Class II genes have now permitted the development of allele-specific oligonucleotide (ASO) typing, a second category of DNA analysis. This has been greatly facilitated by the ability to amplify specific HLA Class II DNA 'target' sequences using the polymerase chain reaction (PCR) technique. The accuracy of DNA typing techniques should ensure that this methodology will eventually replace conventional HLA phenotyping.

  6. Semiparametric bayesian analysis of gene-environment interactions

    OpenAIRE

    Lobach, I.

    2010-01-01

    A key component to prevention and control of complex diseases, such as cancer, diabetes, hypertension, is to analyze the genetic and environmental factors that lead to the development of these complex diseases. We propose a Bayesian approach for analysis of gene-environment interactions that efficiently models information available in the observed data and a priori biomedical knowledge.

  7. Analysis of gene expression during development: lessons from the Apicomplexa.

    Science.gov (United States)

    Boyle, Jon P; Saeij, Jeroen P J; Cleary, Michael D; Boothroyd, John C

    2006-05-01

    Apicomplexans are responsible for significant human and animal disease worldwide, including malaria and toxoplasmosis. Herein we summarize recent advances in gene expression analysis in these eukaryotic pathogens, especially with respect to their developmental biology, and discuss the impact this work may have on the development of new vaccines and chemotherapeutics.

  8. An Analysis of the Ziya Gökalp’s Ideas in the Context of Social Capital

    Directory of Open Access Journals (Sweden)

    Mehmet ANIK

    2011-12-01

    Full Text Available This article aims to analyze some approaches of Ziya Gökalp in the context of social capital, which became one of the prominent concepts of social sciences in the last two decades. ZiyaGökalp has an important place in Turkish intellectual life with his ideas. He witnessed the destruction of the Ottoman Empire and took an active role in various positions in the establishment of the Republic of Turkey. Overall, in the concept of social capital, social relations are evaluated in a pragmatic context. In general Ziya Gökalp’s ideas are products aimed to find solutions to the problems in practice in a pragmatic way. In this context, Gö-kalp’s ideas are assessed in the scope of social capital and his approaches which are considered to be discussed in this scope are analyzed here.

  9. Detection and sequence analysis of accessory gene regulator genes of Staphylococcus pseudintermedius isolates

    Directory of Open Access Journals (Sweden)

    M. Ananda Chitra

    2015-07-01

    Full Text Available Background: Staphylococcus pseudintermedius (SP is the major pathogenic species of dogs involved in a wide variety of skin and soft tissue infections. The accessory gene regulator (agr locus of Staphylococcus aureus has been extensively studied, and it influences the expression of many virulence genes. It encodes a two-component signal transduction system that leads to down-regulation of surface proteins and up-regulation of secreted proteins during in vitro growth of S. aureus. The objective of this study was to detect and sequence analyzing the AgrA, B, and D of SP isolated from canine skin infections. Materials and Methods: In this study, we have isolated and identified SP from canine pyoderma and otitis cases by polymerase chain reaction (PCR and confirmed by PCR-restriction fragment length polymorphism. Primers for SP agrA and agrBD genes were designed using online primer designing software and BLAST searched for its specificity. Amplification of the agr genes was carried out for 53 isolates of SP by PCR and sequencing of agrA, B, and D were carried out for five isolates and analyzed using DNAstar and Mega5.2 software. Results: A total of 53 (59% SP isolates were obtained from 90 samples. 15 isolates (28% were confirmed to be methicillinresistant SP (MRSP with the detection of the mecA gene. Accessory gene regulator A, B, and D genes were detected in all the SP isolates. Complete nucleotide sequences of the above three genes for five isolates were submitted to GenBank, and their accession numbers are from KJ133557 to KJ133571. AgrA amino acid sequence analysis showed that it is mainly made of alpha-helices and is hydrophilic in nature. AgrB is a transmembrane protein, and AgrD encodes the precursor of the autoinducing peptide (AIP. Sequencing of the agrD gene revealed that the 5 canine SP strains tested could be divided into three Agr specificity groups (RIPTSTGFF, KIPTSTGFF, and RIPISTGFF based on the putative AIP produced by each strain

  10. Analysis of gene evolution and metabolic pathways using the Candida Gene Order Browser

    Science.gov (United States)

    2010-01-01

    Background Candida species are the most common cause of opportunistic fungal infection worldwide. Recent sequencing efforts have provided a wealth of Candida genomic data. We have developed the Candida Gene Order Browser (CGOB), an online tool that aids comparative syntenic analyses of Candida species. CGOB incorporates all available Candida clade genome sequences including two Candida albicans isolates (SC5314 and WO-1) and 8 closely related species (Candida dubliniensis, Candida tropicalis, Candida parapsilosis, Lodderomyces elongisporus, Debaryomyces hansenii, Pichia stipitis, Candida guilliermondii and Candida lusitaniae). Saccharomyces cerevisiae is also included as a reference genome. Results CGOB assignments of homology were manually curated based on sequence similarity and synteny. In total CGOB includes 65617 genes arranged into 13625 homology columns. We have also generated improved Candida gene sets by merging/removing partial genes in each genome. Interrogation of CGOB revealed that the majority of tandemly duplicated genes are under strong purifying selection in all Candida species. We identified clusters of adjacent genes involved in the same metabolic pathways (such as catabolism of biotin, galactose and N-acetyl glucosamine) and we showed that some clusters are species or lineage-specific. We also identified one example of intron gain in C. albicans. Conclusions Our analysis provides an important resource that is now available for the Candida community. CGOB is available at http://cgob.ucd.ie. PMID:20459735

  11. Analysis of gene evolution and metabolic pathways using the Candida Gene Order Browser

    LENUS (Irish Health Repository)

    Fitzpatrick, David A

    2010-05-10

    Abstract Background Candida species are the most common cause of opportunistic fungal infection worldwide. Recent sequencing efforts have provided a wealth of Candida genomic data. We have developed the Candida Gene Order Browser (CGOB), an online tool that aids comparative syntenic analyses of Candida species. CGOB incorporates all available Candida clade genome sequences including two Candida albicans isolates (SC5314 and WO-1) and 8 closely related species (Candida dubliniensis, Candida tropicalis, Candida parapsilosis, Lodderomyces elongisporus, Debaryomyces hansenii, Pichia stipitis, Candida guilliermondii and Candida lusitaniae). Saccharomyces cerevisiae is also included as a reference genome. Results CGOB assignments of homology were manually curated based on sequence similarity and synteny. In total CGOB includes 65617 genes arranged into 13625 homology columns. We have also generated improved Candida gene sets by merging\\/removing partial genes in each genome. Interrogation of CGOB revealed that the majority of tandemly duplicated genes are under strong purifying selection in all Candida species. We identified clusters of adjacent genes involved in the same metabolic pathways (such as catabolism of biotin, galactose and N-acetyl glucosamine) and we showed that some clusters are species or lineage-specific. We also identified one example of intron gain in C. albicans. Conclusions Our analysis provides an important resource that is now available for the Candida community. CGOB is available at http:\\/\\/cgob.ucd.ie.

  12. Analysis of gene evolution and metabolic pathways using the Candida Gene Order Browser

    Directory of Open Access Journals (Sweden)

    Byrne Kevin P

    2010-05-01

    Full Text Available Abstract Background Candida species are the most common cause of opportunistic fungal infection worldwide. Recent sequencing efforts have provided a wealth of Candida genomic data. We have developed the Candida Gene Order Browser (CGOB, an online tool that aids comparative syntenic analyses of Candida species. CGOB incorporates all available Candida clade genome sequences including two Candida albicans isolates (SC5314 and WO-1 and 8 closely related species (Candida dubliniensis, Candida tropicalis, Candida parapsilosis, Lodderomyces elongisporus, Debaryomyces hansenii, Pichia stipitis, Candida guilliermondii and Candida lusitaniae. Saccharomyces cerevisiae is also included as a reference genome. Results CGOB assignments of homology were manually curated based on sequence similarity and synteny. In total CGOB includes 65617 genes arranged into 13625 homology columns. We have also generated improved Candida gene sets by merging/removing partial genes in each genome. Interrogation of CGOB revealed that the majority of tandemly duplicated genes are under strong purifying selection in all Candida species. We identified clusters of adjacent genes involved in the same metabolic pathways (such as catabolism of biotin, galactose and N-acetyl glucosamine and we showed that some clusters are species or lineage-specific. We also identified one example of intron gain in C. albicans. Conclusions Our analysis provides an important resource that is now available for the Candida community. CGOB is available at http://cgob.ucd.ie.

  13. Evaluation of reference genes for gene expression analysis using quantitative RT-PCR in Azospirillum brasilense.

    Directory of Open Access Journals (Sweden)

    Mary McMillan

    Full Text Available Azospirillum brasilense is a nitrogen fixing bacterium that has been shown to have various beneficial effects on plant growth and yield. Under normal conditions A. brasilense exists in a motile flagellated form, which, under starvation or stress conditions, can undergo differentiation into an encapsulated, cyst-like form. Quantitative RT-PCR can be used to analyse changes in gene expression during this differentiation process. The accuracy of quantification of mRNA levels by qRT-PCR relies on the normalisation of data against stably expressed reference genes. No suitable set of reference genes has yet been described for A. brasilense. Here we evaluated the expression of ten candidate reference genes (16S rRNA, gapB, glyA, gyrA, proC, pykA, recA, recF, rpoD, and tpiA in wild-type and mutant A. brasilense strains under different culture conditions, including conditions that induce differentiation. Analysis with the software programs BestKeeper, NormFinder and GeNorm indicated that gyrA, glyA and recA are the most stably expressed reference genes in A. brasilense. The results also suggested that the use of two reference genes (gyrA and glyA is sufficient for effective normalisation of qRT-PCR data.

  14. Evaluation of reference genes for gene expression analysis using quantitative RT-PCR in Azospirillum brasilense.

    Science.gov (United States)

    McMillan, Mary; Pereg, Lily

    2014-01-01

    Azospirillum brasilense is a nitrogen fixing bacterium that has been shown to have various beneficial effects on plant growth and yield. Under normal conditions A. brasilense exists in a motile flagellated form, which, under starvation or stress conditions, can undergo differentiation into an encapsulated, cyst-like form. Quantitative RT-PCR can be used to analyse changes in gene expression during this differentiation process. The accuracy of quantification of mRNA levels by qRT-PCR relies on the normalisation of data against stably expressed reference genes. No suitable set of reference genes has yet been described for A. brasilense. Here we evaluated the expression of ten candidate reference genes (16S rRNA, gapB, glyA, gyrA, proC, pykA, recA, recF, rpoD, and tpiA) in wild-type and mutant A. brasilense strains under different culture conditions, including conditions that induce differentiation. Analysis with the software programs BestKeeper, NormFinder and GeNorm indicated that gyrA, glyA and recA are the most stably expressed reference genes in A. brasilense. The results also suggested that the use of two reference genes (gyrA and glyA) is sufficient for effective normalisation of qRT-PCR data.

  15. Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis

    Directory of Open Access Journals (Sweden)

    Ueki Masao

    2012-05-01

    Full Text Available Abstract Background Genome-wide gene-gene interaction analysis using single nucleotide polymorphisms (SNPs is an attractive way for identification of genetic components that confers susceptibility of human complex diseases. Individual hypothesis testing for SNP-SNP pairs as in common genome-wide association study (GWAS however involves difficulty in setting overall p-value due to complicated correlation structure, namely, the multiple testing problem that causes unacceptable false negative results. A large number of SNP-SNP pairs than sample size, so-called the large p small n problem, precludes simultaneous analysis using multiple regression. The method that overcomes above issues is thus needed. Results We adopt an up-to-date method for ultrahigh-dimensional variable selection termed the sure independence screening (SIS for appropriate handling of numerous number of SNP-SNP interactions by including them as predictor variables in logistic regression. We propose ranking strategy using promising dummy coding methods and following variable selection procedure in the SIS method suitably modified for gene-gene interaction analysis. We also implemented the procedures in a software program, EPISIS, using the cost-effective GPGPU (General-purpose computing on graphics processing units technology. EPISIS can complete exhaustive search for SNP-SNP interactions in standard GWAS dataset within several hours. The proposed method works successfully in simulation experiments and in application to real WTCCC (Wellcome Trust Case–control Consortium data. Conclusions Based on the machine-learning principle, the proposed method gives powerful and flexible genome-wide search for various patterns of gene-gene interaction.

  16. Comprehensive analysis of gene expression patterns of hedgehog-related genes

    Directory of Open Access Journals (Sweden)

    Baillie David

    2006-10-01

    Full Text Available Abstract Background The Caenorhabditis elegans genome encodes ten proteins that share sequence similarity with the Hedgehog signaling molecule through their C-terminal autoprocessing Hint/Hog domain. These proteins contain novel N-terminal domains, and C. elegans encodes dozens of additional proteins containing only these N-terminal domains. These gene families are called warthog, groundhog, ground-like and quahog, collectively called hedgehog (hh-related genes. Previously, the expression pattern of seventeen genes was examined, which showed that they are primarily expressed in the ectoderm. Results With the completion of the C. elegans genome sequence in November 2002, we reexamined and identified 61 hh-related ORFs. Further, we identified 49 hh-related ORFs in C. briggsae. ORF analysis revealed that 30% of the genes still had errors in their predictions and we improved these predictions here. We performed a comprehensive expression analysis using GFP fusions of the putative intergenic regulatory sequence with one or two transgenic lines for most genes. The hh-related genes are expressed in one or a few of the following tissues: hypodermis, seam cells, excretory duct and pore cells, vulval epithelial cells, rectal epithelial cells, pharyngeal muscle or marginal cells, arcade cells, support cells of sensory organs, and neuronal cells. Using time-lapse recordings, we discovered that some hh-related genes are expressed in a cyclical fashion in phase with molting during larval development. We also generated several translational GFP fusions, but they did not show any subcellular localization. In addition, we also studied the expression patterns of two genes with similarity to Drosophila frizzled, T23D8.1 and F27E11.3A, and the ortholog of the Drosophila gene dally-like, gpn-1, which is a heparan sulfate proteoglycan. The two frizzled homologs are expressed in a few neurons in the head, and gpn-1 is expressed in the pharynx. Finally, we compare the

  17. Evolutionary Analysis of Minor Histocompatibility Genes In Hydra

    KAUST Repository

    Aalismail, Nojood

    2016-05-01

    Hydra is a simple freshwater solitary polyp used as a model system to study evolutionary aspects. The immune response of this organism has not been studied extensively and the immune response genes have not been identified and characterized. On the other hand, immune response has been investigated and genetic analysis has been initiated in other lower invertebrates. In the present study we took initiative to study the self/nonself recognition in hydra and its relation to the immune response. Moreover, performing phylogenetic analysis to look for annotated immune genes in hydra gave us a potential to analyze the expression of minor histocompatibility genes that have been shown to play a major role in grafting and transplantation in mammals. Here we obtained the cDNA library that shows expression of minor histocompatibility genes and confirmed that the annotated sequences in databases are actually present. In addition, grafting experiments suggested, although still preliminary, that homograft showed less rejection response than in heterograft. Involvement of possible minor histocompatibility gene orthologous in immune response was examined by qPCR.

  18. Polymorphism analysis of csd gene in six Apis mellifera subspecies.

    Science.gov (United States)

    Wang, Zilong; Liu, Zhiyong; Wu, Xiaobo; Yan, Weiyu; Zeng, Zhijiang

    2012-03-01

    The complementary sex determination (csd) gene is the primary gene determining the gender of honey bees (Apis spp). In this study we analyzed the polymorphism of csd gene in six Apis mellifera subspecies. The genomic region 3 of csd gene in these six A. mellifera was cloned, and identified. A total of 79 haplotypes were obtained from these six subspecies. Analysis showed that region 3 of csd gene has a high level of polymorphism in all the six A. mellifera subspecies. The A. m. anatolica subspecies has a slightly higher nucleotide diversity (π) than other subspecies, while the π values showed no significant difference among the other five subspecies. The phylogenetic tree showed that all the csd haplotypes from different A. mellifera subspecies are scattered throughout the tree, without forming six different clades. Population differentiation analysis showed that there are significant genetic differentiations among some of the subspecies. The NJ phylogenetic tree showed that the A. m. caucasica and A. m. carnica have the closest relationship, followed by A. m. ssp, A. m. ligustica, A. m. carpatica and A. m. anatolica that were gathered in the tree in turn.

  19. The carcinoma-specific epithelial glycoprotein-2 promoter controls efficient and selective gene expression in an adenoviral context

    NARCIS (Netherlands)

    Gommans, WM; van Eert, SJ; McLaughlin, PMJ; Harmsen, MC; Yamamoto, M; Curiel, DT; Haisma, HJ; Rots, MG

    2006-01-01

    Adenoviral vectors are widely used in cancer gene therapy. After systemic administration however, the majority of the virus homes to the liver and the expressed transgene may cause hepatotoxicity. To restrict transgene expression to tumor cells, tumor- or tissue-specific promoters are utilized. The

  20. Fathers in Context: Comparative Analysis of Father Involvement in Bulgaria and the Netherlands

    NARCIS (Netherlands)

    N.A. Conkova (Nina); B.E. Ory (Brett)

    2016-01-01

    markdownabstractThis report compares father involvement with their children in Bulgaria and the Netherlands by examining country differences in family formation patterns, policy context, and cultural prescriptions regarding family life. In studying the time fathers spend with their children, it is

  1. A Confirmatory Factor Analysis of the Motivated Self-Regulated Learning Questionnaire in an EFL Context

    Science.gov (United States)

    Ayatollahi, Mohammad Ali; Rasekh, Abbas Eslami; Tavakoli, Mansoor

    2011-01-01

    The Motivated Strategies for Learning Questionnaire (MSLQ) is an instrument for measuring motivation and learning strategies in general education. This instrument is modular, consisting of motivation and learning strategies modules. This study sought to see whether the learning strategies module of this instrument can be applied to the context of…

  2. College Students' Conceptions of Context-Aware Ubiquitous Learning: A Phenomenographic Analysis

    Science.gov (United States)

    Tsai, Pei-Shan; Tsai, Chin-Chung; Hwang, Gwo-Haur

    2011-01-01

    The purpose of this study was to explore students' conceptions of context-aware ubiquitous learning (u-learning). The students participated in a u-learning exercise using PDAs equipped with RFID readers. The data were collected from individual interviews with each of the students by a trained researcher, and the responses of the interviewees were…

  3. Analysis and Validation of a Rubric to Assess Oral Presentation Skills in University Contexts

    Science.gov (United States)

    Garcia-Ros, Rafael

    2011-01-01

    Introduction: The main objective of this study was to analyze users' perceptions and convergent validity of peer- and teacher summative assessment using a rubric for students' oral presentation skills in a university context. Method: Peer- and teacher-assessment convergence was analyzed from an analytical and holistic perspective. Students'…

  4. Student Motivation in Low-Stakes Assessment Contexts: An Exploratory Analysis in Engineering Mechanics

    Science.gov (United States)

    Musekamp, Frank; Pearce, Jacob

    2016-01-01

    The goal of this paper is to examine the relationship of student motivation and achievement in low-stakes assessment contexts. Using Pearson product-moment correlations and hierarchical linear regression modelling to analyse data on 794 tertiary students who undertook a low-stakes engineering mechanics assessment (along with the questionnaire of…

  5. A Potentially Heteroglossic Policy Becomes Monoglossic in Context: An Ethnographic Analysis of Paraguayan Bilingual Education Policy

    Science.gov (United States)

    Mortimer, Katherine S.

    2016-01-01

    Ethnographic and discursive approaches to educational language policy (ELP) that explore how policy is appropriated in context are important for understanding policy success/failure in meeting goals of educational equity for language-minoritized students. This study describes how Paraguayan national policy for universal bilingual education…

  6. Difficulties in solving context-based PISA mathematics tasks : An analysis of students' errors

    NARCIS (Netherlands)

    Wijaya, Ariyadi; van den Heuvel-Panhuizen, Marja; Doorman, Michiel; Robitzsch, Alexander

    2014-01-01

    The intention of this study was to clarify students' difficulties in solving context-based mathematics tasks as used in the Programme for International Student Assessment (PISA). The study was carried out with 362 Indonesian ninth- and tenth-grade students. In the study we used 34 released PISA math

  7. An Analysis of Discourse Production and Cognitive Context Dynamism Based on Relevance-Adaptation Model

    Institute of Scientific and Technical Information of China (English)

    YANG Jing

    2014-01-01

    Taken discourse production as the research objective, it holds that discourse production is dynamic in human communi-cation. It attempts to analyze the dynamics on the basis of Relevance-adaption model from the perspective of cognitive pragmat-ics and explain the role of the context dynamics that plays in the discourse production.

  8. A New Realistic Evaluation Analysis Method: Linked Coding of Context, Mechanism, and Outcome Relationships

    Science.gov (United States)

    Jackson, Suzanne F.; Kolla, Gillian

    2012-01-01

    In attempting to use a realistic evaluation approach to explore the role of Community Parents in early parenting programs in Toronto, a novel technique was developed to analyze the links between contexts (C), mechanisms (M) and outcomes (O) directly from experienced practitioner interviews. Rather than coding the interviews into themes in terms of…

  9. Towards model-driven requirements analysis for context-aware well-being systems

    NARCIS (Netherlands)

    Bosems, Steven; Sinderen, van Marten

    2012-01-01

    Research interest in the domain of pervasive systems has seen a rapid increase, evident from the amount of research papers being published each year. These systems are to blend in with everyday life, being completely unobtrusive. Through the use of sensors, pervasive systems can become context-aware

  10. A Multi-Perspective Genre Analysis of the Barrister's Opinion: Writing Context, Generic Structure, and Textualization

    Science.gov (United States)

    Hafner, Christoph A.

    2010-01-01

    In teaching and researching English for Law, considerable effort has been put into the fine-grained description of legal genres and accounts of associated legal literacy practices. Much of this work has been carried out in the academic context, focusing especially on genres encountered by undergraduate law students. The range of genres which must…

  11. Single-cell analysis of population context advances RNAi screening at multiple levels

    NARCIS (Netherlands)

    Snijder, Berend; Sacher, Raphael; Rämö, Pauli; Liberali, Prisca; Mench, Karin; Wolfrum, Nina; Burleigh, Laura; Scott, Cameron C; Verheije, Monique H; Mercer, Jason; Moese, Stefan; Heger, Thomas; Theusner, Kristina; Jurgeit, Andreas; Lamparter, David; Balistreri, Giuseppe; Schelhaas, Mario; De Haan, Cornelis A M; Marjomäki, Varpu; Hyypiä, Timo; Rottier, Peter J M; Sodeik, Beate; Marsh, Mark; Gruenberg, Jean; Amara, Ali; Greber, Urs; Helenius, Ari; Pelkmans, Lucas

    2012-01-01

    Isogenic cells in culture show strong variability, which arises from dynamic adaptations to the microenvironment of individual cells. Here we study the influence of the cell population context, which determines a single cell's microenvironment, in image-based RNAi screens. We developed a comprehensi

  12. Expansion of the Clavulanic Acid Gene Cluster: Identification and In Vivo Functional Analysis of Three New Genes Required for Biosynthesis of Clavulanic Acid by Streptomyces clavuligerus

    Science.gov (United States)

    Li, Rongfeng; Khaleeli, Nusrat; Townsend, Craig A.

    2000-01-01

    Clavulanic acid is a potent inhibitor of β-lactamase enzymes and is of demonstrated value in the treatment of infections by β-lactam-resistant bacteria. Previously, it was thought that eight contiguous genes within the genome of the producing strain Streptomyces clavuligerus were sufficient for clavulanic acid biosynthesis, because they allowed production of the antibiotic in a heterologous host (K. A. Aidoo, A. S. Paradkar, D. C. Alexander, and S. E. Jensen, p. 219–236, In V. P. Gullo et al., ed., Development in industrial microbiology series, 1993). In contrast, we report the identification of three new genes, orf10 (cyp), orf11 (fd), and orf12, that are required for clavulanic acid biosynthesis as indicated by gene replacement and trans-complementation analysis in S. clavuligerus. These genes are contained within a 3.4-kb DNA fragment located directly downstream of orf9 (cad) in the clavulanic acid cluster. While the orf10 (cyp) and orf11 (fd) proteins show homologies to other known CYP-150 cytochrome P-450 and [3Fe-4S] ferredoxin enzymes and may be responsible for an oxidative reaction late in the pathway, the protein encoded by orf12 shows no significant similarity to any known protein. The results of this study extend the biosynthetic gene cluster for clavulanic acid and attest to the importance of analyzing biosynthetic genes in the context of their natural host. Potential functional roles for these proteins are proposed. PMID:10869089

  13. Association analysis of chromosome 1 migraine candidate genes

    Directory of Open Access Journals (Sweden)

    MacMillan John

    2007-08-01

    Full Text Available Abstract Background Migraine with aura (MA is a subtype of typical migraine. Migraine with aura (MA also encompasses a rare severe subtype Familial Hemiplegic Migraine (FHM with several known genetic loci. The type 2 FHM (FHM-2 susceptibility locus maps to chromosome 1q23 and mutations in the ATP1A2 gene at this site have recently been implicated. We have previously provided evidence of linkage of typical migraine (predominantly MA to microsatellite markers on chromosome 1, in the 1q31 and 1q23 regions. In this study, we have undertaken a large genomic investigation involving candidate genes that lie within the chromosome 1q23 and 1q31 regions using an association analysis approach. Methods We have genotyped a large population of case-controls (243 unrelated Caucasian migraineurs versus 243 controls examining a set of 5 single nucleotide polymorphisms (SNPs and the Fas Ligand dinucleotide repeat marker, located within the chromosome 1q23 and 1q31 regions. Results Several genes have been studied including membrane protein (ATP 1 subtype A4 and FasL, cytoplasmic glycoprotein (CASQ 1 genes and potassium (KCN J9 and KCN J10 and calcium (CACNA1E channel genes in 243 migraineurs (including 85% MA and 15% of migraine without aura (MO and 243 matched controls. After correction for multiple testing, chi-square results showed non-significant P values (P > 0.008 across all SNPs (and a CA repeat tested in these different genes, however results with the KCN J10 marker gave interesting results (P = 0.02 that may be worth exploring further in other populations. Conclusion These results do not show a significant role for the tested candidate gene variants and also do not support the hypothesis that a common chromosome 1 defective gene influences both FHM and the more common forms of migraine.

  14. Global adaptive rank truncated product method for gene-set analysis in association studies.

    Science.gov (United States)

    Vilor-Tejedor, Natalia; Calle, M Luz

    2014-09-01

    Gene set analysis (GSA) aims to assess the overall association of a set of genetic variants with a phenotype and has the potential to detect subtle effects of variants in a gene or a pathway that might be missed when assessed individually. We present a new implementation of the Adaptive Rank Truncated Product method (ARTP) for analyzing the association of a set of Single Nucleotide Polymorphisms (SNPs) in a gene or pathway. The new implementation, referred to as globalARTP, improves the original one by allowing the different SNPs in the set to have different modes of inheritance. We perform a simulation study for exploring the power of the proposed methodology in a set of scenarios with different numbers of causal SNPs with different effect sizes. Moreover, we show the advantage of using the gene set approach in the context of an Alzheimer's disease case-control study where we explore the endocytosis pathway. The new method is implemented in the R function globalARTP of the globalGSA package available at http://cran.r-project.org. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  15. Design and psychometric analysis of an instrument to detect the presence of cyberbullying in a school context

    Directory of Open Access Journals (Sweden)

    Abel Baquero Correa

    2015-07-01

    Full Text Available The objective of this research was to design an instrument to detect cyberbullying in a school context and analyze its psychometric properties. Participants were 299 adolescents (54.2% female and 45.8% male with a mean age of 15 years, belonging to the lower stratum (22.1% and middle layer (78%. A quantitative study with a non-experimental design instrumental and the cross section was performed. Under the classical test theory, adequate internal consistency (Cronbach’s alpha α = .864 and convergent validity with other measures was obtained. Confirmatory factor analysis in SPSS version 21, which resulted in three factors was performed. From item response theory, INFIT found that the items ranged from 0.73 and 1.23 and between 0.74 and 1.24 OUTFIT. Based on the favorable results of psychometric analysis, we conclude that the instrument can be used for detection of cyberbullying in a school context.

  16. Genomic analysis of primordial dwarfism reveals novel disease genes.

    Science.gov (United States)

    Shaheen, Ranad; Faqeih, Eissa; Ansari, Shinu; Abdel-Salam, Ghada; Al-Hassnan, Zuhair N; Al-Shidi, Tarfa; Alomar, Rana; Sogaty, Sameera; Alkuraya, Fowzan S

    2014-02-01

    Primordial dwarfism (PD) is a disease in which severely impaired fetal growth persists throughout postnatal development and results in stunted adult size. The condition is highly heterogeneous clinically, but the use of certain phenotypic aspects such as head circumference and facial appearance has proven helpful in defining clinical subgroups. In this study, we present the results of clinical and genomic characterization of 16 new patients in whom a broad definition of PD was used (e.g., 3M syndrome was included). We report a novel PD syndrome with distinct facies in two unrelated patients, each with a different homozygous truncating mutation in CRIPT. Our analysis also reveals, in addition to mutations in known PD disease genes, the first instance of biallelic truncating BRCA2 mutation causing PD with normal bone marrow analysis. In addition, we have identified a novel locus for Seckel syndrome based on a consanguineous multiplex family and identified a homozygous truncating mutation in DNA2 as the likely cause. An additional novel PD disease candidate gene XRCC4 was identified by autozygome/exome analysis, and the knockout mouse phenotype is highly compatible with PD. Thus, we add a number of novel genes to the growing list of PD-linked genes, including one which we show to be linked to a novel PD syndrome with a distinct facial appearance. PD is extremely heterogeneous genetically and clinically, and genomic tools are often required to reach a molecular diagnosis.

  17. Cloning,sequencing and phylogenic analysis of duck prion gene

    Institute of Scientific and Technical Information of China (English)

    WANG Qigui; ZHANG Lei; HU Xiaoxiang; FAN Baoliang; LI Ning; LI Hui; WU Changxin

    2004-01-01

    Duck prion gene was cloned and sequenced. Similar to mammalian prion protein (PrP), duck prion is encoded by a single exon of a single copy in genome, which was confirmed by Southern blot analysis. All of the structural features of mammalian PrP were also identified in the duck PrP. Compared with mammalian PrP, it exhibited a 30 % of general similarity. When compared with chicken PrP, it showed a higher homology of 97%. A phylogenetic tree was constructed to trace evolution of prion gene in animals.

  18. GECKO: a complete large-scale gene expression analysis platform

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    Heuer Michael

    2004-12-01

    Full Text Available Abstract Background Gecko (Gene Expression: Computation and Knowledge Organization is a complete, high-capacity centralized gene expression analysis system, developed in response to the needs of a distributed user community. Results Based on a client-server architecture, with a centralized repository of typically many tens of thousands of Affymetrix scans, Gecko includes automatic processing pipelines for uploading data from remote sites, a data base, a computational engine implementing ~ 50 different analysis tools, and a client application. Among available analysis tools are clustering methods, principal component analysis, supervised classification including feature selection and cross-validation, multi-factorial ANOVA, statistical contrast calculations, and various post-processing tools for extracting data at given error rates or significance levels. On account of its open architecture, Gecko also allows for the integration of new algorithms. The Gecko framework is very general: non-Affymetrix and non-gene expression data can be analyzed as well. A unique feature of the Gecko architecture is the concept of the Analysis Tree (actually, a directed acyclic graph, in which all successive results in ongoing analyses are saved. This approach has proven invaluable in allowing a large (~ 100 users and distributed community to share results, and to repeatedly return over a span of years to older and potentially very complex analyses of gene expression data. Conclusions The Gecko system is being made publicly available as free software http://sourceforge.net/projects/geckoe. In totality or in parts, the Gecko framework should prove useful to users and system developers with a broad range of analysis needs.

  19. Membrane gene ontology bias in sequencing and microarray obtained by housekeeping-gene analysis.

    Science.gov (United States)

    Zhang, Yijuan; Akintola, Oluwafemi S; Liu, Ken J A; Sun, Bingyun

    2016-01-10

    Microarray (MA) and high-throughput sequencing are two commonly used detection systems for global gene expression profiling. Although these two systems are frequently used in parallel, the differences in their final results have not been examined thoroughly. Transcriptomic analysis of housekeeping (HK) genes provides a unique opportunity to reliably examine the technical difference between these two systems. We investigated here the structure, genome location, expression quantity, microarray probe coverage, as well as biological functions of differentially identified human HK genes by 9 MA and 6 sequencing studies. These in-depth analyses allowed us to discover, for the first time, a subset of transcripts encoding membrane, cell surface and nuclear proteins that were prone to differential identification by the two platforms. We hope that the discovery can aid the future development of these technologies for comprehensive transcriptomic studies. Copyright © 2015 Elsevier B.V. All rights reserved.

  20. Analysis of tumor suppressor genes based on gene ontology and the KEGG pathway.

    Science.gov (United States)

    Yang, Jing; Chen, Lei; Kong, Xiangyin; Huang, Tao; Cai, Yu-Dong

    2014-01-01

    Cancer is a serious disease that causes many deaths every year. We urgently need to design effective treatments to cure this disease. Tumor suppressor genes (TSGs) are a type of gene that can protect cells from becoming cancerous. In view of this, correct identification of TSGs is an alternative method for identifying effective cancer therapies. In this study, we performed gene ontology (GO) and pathway enrichment analysis of the TSGs and non-TSGs. Some popular feature selection methods, including minimum redundancy maximum relevance (mRMR) and incremental feature selection (IFS), were employed to analyze the enrichment features. Accordingly, some GO terms and KEGG pathways, such as biological adhesion, cell cycle control, genomic stability maintenance and cell death regulation, were extracted, which are important factors for identifying TSGs. We hope these findings can help in building effective prediction methods for identifying TSGs and thereby, promoting the discovery of effective cancer treatments.

  1. Spatial Context from Open and Online Processing (SCOOP: Geographic, Temporal, and Thematic Analysis of Online Information Sources

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    Colin Robertson

    2017-06-01

    Full Text Available The Internet is increasingly a source of data for geographic information systems, as more data becomes linked, available through application programing interfaces (APIs, and more tools become available for handling unstructured web data. While many web data extraction and structuring methods exist, there are few examples of comprehensive data processing and analysis systems that link together these tools for geographic analyses. This paper develops a general approach to the development of spatial information context from unstructured and informal web data sources through the joint analysis of the data’s thematic, spatial, and temporal properties. We explore the utility of this derived contextual information through a case study into maritime surveillance. Extraction and processing techniques such as toponym extraction, disambiguation, and temporal information extraction methods are used to construct a semi-structured maritime context database supporting global scale analysis. Geographic, temporal, and thematic content were analyzed, extracted and processed from a list of information sources. A geoweb interface is developed to allow user visualization of extracted information, as well as to support space-time database queries. Joint keyword clustering and spatial clustering methods are used to demonstrate extraction of documents that relate to real world events in official vessel information data. The quality of contextual geospatial information sources is evaluated in reference to known maritime anomalies obtained from authoritative sources. The feasibility of automated context extraction using the proposed framework and linkage to external data using standard clustering tools is demonstrated.

  2. Altered Pathway Analyzer: A gene expression dataset analysis tool for identification and prioritization of differentially regulated and network rewired pathways

    Science.gov (United States)

    Kaushik, Abhinav; Ali, Shakir; Gupta, Dinesh

    2017-01-01

    Gene connection rewiring is an essential feature of gene network dynamics. Apart from its normal functional role, it may also lead to dysregulated functional states by disturbing pathway homeostasis. Very few computational tools measure rewiring within gene co-expression and its corresponding regulatory networks in order to identify and prioritize altered pathways which may or may not be differentially regulated. We have developed Altered Pathway Analyzer (APA), a microarray dataset analysis tool for identification and prioritization of altered pathways, including those which are differentially regulated by TFs, by quantifying rewired sub-network topology. Moreover, APA also helps in re-prioritization of APA shortlisted altered pathways enriched with context-specific genes. We performed APA analysis of simulated datasets and p53 status NCI-60 cell line microarray data to demonstrate potential of APA for identification of several case-specific altered pathways. APA analysis reveals several altered pathways not detected by other tools evaluated by us. APA analysis of unrelated prostate cancer datasets identifies sample-specific as well as conserved altered biological processes, mainly associated with lipid metabolism, cellular differentiation and proliferation. APA is designed as a cross platform tool which may be transparently customized to perform pathway analysis in different gene expression datasets. APA is freely available at http://bioinfo.icgeb.res.in/APA. PMID:28084397

  3. Comparison of Gratitude across Context Variations: A Generic Analysis of Dissertation Acknowledgements Written by Taiwanese Authors in EFL and ESL Contexts

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    Wenhsien Yang

    2012-09-01

    Full Text Available Research on generic structures of acknowledgements in dissertations has gradually drawn attention in various contexts. However, there is relatively scant research on the ways in which acknowledgements are written by authors with mutually similar cultural backgrounds but in two different academic environments and language contexts. To fill this gap, this study compared 60 PhD dissertation acknowledgements written by Taiwanese postgraduates in Taiwan, an EFL context, with another 60 written by Taiwanese scholars who obtained their doctorates in the United States, an ESL context. The focus was on the generic structures and linguistic features of the writing styles of the two groups. The study aimed to investigate whether divergences existed in the two different academic and language settings, but with the writers sharing the same cultural and language background. If such divergences did exist, the likely causes would be explored. The results revealed that firstly, the participants in both contexts generally followed a three-tier structure when writing their dissertation acknowledgements, namely, reflecting, thanking, and announcing moves. However, academic conventions, institutional preferences and the language context, together with socio-cultural factors, affected their construction of moves/steps and their choice of linguistic elements. It was found that the rhetorical language in both corpora was relatively direct, emotional and precise.

  4. Whole Gene Capture Analysis of 15 CRC Susceptibility Genes in Suspected Lynch Syndrome Patients.

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    Anne M L Jansen

    Full Text Available Lynch Syndrome (LS is caused by pathogenic germline variants in one of the mismatch repair (MMR genes. However, up to 60% of MMR-deficient colorectal cancer cases are categorized as suspected Lynch Syndrome (sLS because no pathogenic MMR germline variant can be identified, which leads to difficulties in clinical management. We therefore analyzed the genomic regions of 15 CRC susceptibility genes in leukocyte DNA of 34 unrelated sLS patients and 11 patients with MLH1 hypermethylated tumors with a clear family history.Using targeted next-generation sequencing, we analyzed the entire non-repetitive genomic sequence, including intronic and regulatory sequences, of 15 CRC susceptibility genes. In addition, tumor DNA from 28 sLS patients was analyzed for somatic MMR variants.Of 1979 germline variants found in the leukocyte DNA of 34 sLS patients, one was a pathogenic variant (MLH1 c.1667+1delG. Leukocyte DNA of 11 patients with MLH1 hypermethylated tumors was negative for pathogenic germline variants in the tested CRC susceptibility genes and for germline MLH1 hypermethylation. Somatic DNA analysis of 28 sLS tumors identified eight (29% cases with two pathogenic somatic variants, one with a VUS predicted to pathogenic and LOH, and nine cases (32% with one pathogenic somatic variant (n = 8 or one VUS predicted to be pathogenic (n = 1.This is the first study in sLS patients to include the entire genomic sequence of CRC susceptibility genes. An underlying somatic or germline MMR gene defect was identified in ten of 34 sLS patients (29%. In the remaining sLS patients, the underlying genetic defect explaining the MMRdeficiency in their tumors might be found outside the genomic regions harboring the MMR and other known CRC susceptibility genes.

  5. FlyPhy: a phylogenomic analysis platform for Drosophila genes and gene families

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    Bao Qiyu

    2009-04-01

    Full Text Available Abstract Background The availability of 12 fully sequenced Drosophila species genomes provides an excellent opportunity to explore the evolutionary mechanism, structure and function of gene families in Drosophila. Currently, several important resources, such as FlyBase, FlyMine and DroSpeGe, have been devoted to integrating genetic, genomic, and functional data of Drosophila into a well-organized form. However, all of these resources are gene-centric and lack the information of the gene families in Drosophila. Description FlyPhy is a comprehensive phylogenomic analysis platform devoted to analyzing the genes and gene families in Drosophila. Genes were classified into families using a graph-based Markov Clustering algorithm and extensively annotated by a number of bioinformatic tools, such as basic sequence features, functional category, gene ontology terms, domain organization and sequence homolog to other databases. FlyPhy provides a simple and user-friendly web interface to allow users to browse and retrieve the information at multiple levels. An outstanding feature of the FlyPhy is that all the retrieved results can be added to a workset for further data manipulation. For the data stored in the workset, multiple sequence alignment, phylogenetic tree construction and visualization can be easily performed to investigate the sequence variation of each given family and to explore its evolutionary mechanism. Conclusion With the above functionalities, FlyPhy will be a useful resource and convenient platform for the Drosophila research community. The FlyPhy is available at http://bioinformatics.zj.cn/fly/.

  6. Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data

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    Efstathiou Eleni

    2009-08-01

    Full Text Available Abstract Backgound The genetic mechanisms of prostate tumorigenesis remain poorly understood, but with the advent of gene expression array capabilities, we can now produce a large amount of data that can be used to explore the molecular and genetic mechanisms of prostate tumorigenesis. Methods We conducted a meta-analysis of gene expression data from 18 gene array datasets targeting transition from normal to localized prostate cancer and from localized to metastatic prostate cancer. We functionally annotated the top 500 differentially expressed genes and identified several candidate pathways associated with prostate tumorigeneses. Results We found the top differentially expressed genes to be clustered in pathways involving integrin-based cell adhesion: integrin signaling, the actin cytoskeleton, cell death, and cell motility pathways. We also found integrins themselves to be downregulated in the transition from normal prostate tissue to primary localized prostate cancer. Based on the results of this study, we developed a collagen hypothesis of prostate tumorigenesis. According to this hypothesis, the initiating event in prostate tumorigenesis is the age-related decrease in the expression of collagen genes and other genes encoding integrin ligands. This concomitant depletion of integrin ligands leads to the accumulation of ligandless integrin and activation of integrin-associated cell death. To escape integrin-associated death, cells suppress the expression of integrins, which in turn alters the actin cytoskeleton, elevates cell motility and proliferation, and disorganizes prostate histology, contributing to the histologic progression of prostate cancer and its increased metastasizing potential. Conclusion The results of this study suggest that prostate tumor progression is associated with the suppression of integrin-based cell adhesion. Suppression of integrin expression driven by integrin-mediated cell death leads to increased cell

  7. [Hydrophidae identification through analysis on Cyt b gene barcode].

    Science.gov (United States)

    Liao, Li-xi; Zeng, Ke-wu; Tu, Peng-fei

    2015-08-01

    Hydrophidae, one of the precious traditional Chinese medicines, is generally drily preserved to prevent corruption, but it is hard to identify the species of Hydrophidae through the appearance because of the change due to the drying process. The identification through analysis on gene barcode, a new technique in species identification, can avoid the problem. The gene barcodes of the 6 species of Hydrophidae like Lapemis hardwickii were aquired through DNA extraction and gene sequencing. These barcodes were then in sequence alignment and test the identification efficency by BLAST. Our results revealed that the barcode sequences performed high identification efficiency, and had obvious difference between intra- and inter-species. These all indicated that Cyt b DNA barcoding can confirm the Hydrophidae identification.

  8. RETINOBASE: a web database, data mining and analysis platform for gene expression data on retina

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    Léveillard Thierry

    2008-05-01

    Full Text Available Abstract Background The retina is a multi-layered sensory tissue that lines the back of the eye and acts at the interface of input light and visual perception. Its main function is to capture photons and convert them into electrical impulses that travel along the optic nerve to the brain where they are turned into images. It consists of neurons, nourishing blood vessels and different cell types, of which neural cells predominate. Defects in any of these cells can lead to a variety of retinal diseases, including age-related macular degeneration, retinitis pigmentosa, Leber congenital amaurosis and glaucoma. Recent progress in genomics and microarray technology provides extensive opportunities to examine alterations in retinal gene expression profiles during development and diseases. However, there is no specific database that deals with retinal gene expression profiling. In this context we have built RETINOBASE, a dedicated microarray database for retina. Description RETINOBASE is a microarray relational database, analysis and visualization system that allows simple yet powerful queries to retrieve information about gene expression in retina. It provides access to gene expression meta-data and offers significant insights into gene networks in retina, resulting in better hypothesis framing for biological problems that can subsequently be tested in the laboratory. Public and proprietary data are automatically analyzed with 3 distinct methods, RMA, dChip and MAS5, then clustered using 2 different K-means and 1 mixture models method. Thus, RETINOBASE provides a framework to compare these methods and to optimize the retinal data analysis. RETINOBASE has three different modules, "Gene Information", "Raw Data System Analysis" and "Fold change system Analysis" that are interconnected in a relational schema, allowing efficient retrieval and cross comparison of data. Currently, RETINOBASE contains datasets from 28 different microarray experiments performed

  9. ParsEval: parallel comparison and analysis of gene structure annotations

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    Standage Daniel S

    2012-08-01

    Full Text Available Abstract Background Accurate gene structure annotation is a fundamental but somewhat elusive goal of genome projects, as witnessed by the fact that (model genomes typically undergo several cycles of re-annotation. In many cases, it is not only different versions of annotations that need to be compared but also different sources of annotation of the same genome, derived from distinct gene prediction workflows. Such comparisons are of interest to annotation providers, prediction software developers, and end-users, who all need to assess what is common and what is different among distinct annotation sources. We developed ParsEval, a software application for pairwise comparison of sets of gene structure annotations. ParsEval calculates several statistics that highlight the similarities and differences between the two sets of annotations provided. These statistics are presented in an aggregate summary report, with additional details provided as individual reports specific to non-overlapping, gene-model-centric genomic loci. Genome browser styled graphics embedded in these reports help visualize the genomic context of the annotations. Output from ParsEval is both easily read and parsed, enabling systematic identification of problematic gene models for subsequent focused analysis. Results ParsEval is capable of analyzing annotations for large eukaryotic genomes on typical desktop or laptop hardware. In comparison to existing methods, ParsEval exhibits a considerable performance improvement, both in terms of runtime and memory consumption. Reports from ParsEval can provide relevant biological insights into the gene structure annotations being compared. Conclusions Implemented in C, ParsEval provides the quickest and most feature-rich solution for genome annotation comparison to date. The source code is freely available (under an ISC license at http://parseval.sourceforge.net/.

  10. Lists2Networks: Integrated analysis of gene/protein lists

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    Ma'ayan Avi

    2010-02-01

    Full Text Available Abstract Background Systems biologists are faced with the difficultly of analyzing results from large-scale studies that profile the activity of many genes, RNAs and proteins, applied in different experiments, under different conditions, and reported in different publications. To address this challenge it is desirable to compare the results from different related studies such as mRNA expression microarrays, genome-wide ChIP-X, RNAi screens, proteomics and phosphoproteomics experiments in a coherent global framework. In addition, linking high-content multilayered experimental results with prior biological knowledge can be useful for identifying functional themes and form novel hypotheses. Results We present Lists2Networks, a web-based system that allows users to upload lists of mammalian genes/proteins onto a server-based program for integrated analysis. The system includes web-based tools to manipulate lists with different set operations, to expand lists using existing mammalian networks of protein-protein interactions, co-expression correlation, or background knowledge co-annotation correlation, as well as to apply gene-list enrichment analyses against many gene-list libraries of prior biological knowledge such as pathways, gene ontology terms, kinase-substrate, microRNA-mRAN, and protein-protein interactions, metabolites, and protein domains. Such analyses can be applied to several lists at once against many prior knowledge libraries of gene-lists associated with specific annotations. The system also contains features that allow users to export networks and share lists with other users of the system. Conclusions Lists2Networks is a user friendly web-based software system expected to significantly ease the computational analysis process for experimental systems biologists employing high-throughput experiments at multiple layers of regulation. The system is freely available at http://www.lists2networks.org.

  11. An analysis of narratives to identify critical thinking contexts in psychiatric clinical practice.

    Science.gov (United States)

    Mun, Mi Suk

    2010-02-01

    The development of students' critical thinking abilities is one of the greatest challenges facing contemporary nursing educators. Nursing educators should know about what kind of contents or situations need critical thinking. The research was undertaken to identify the critical thinking contexts that nursing students confront in psychiatric clinical practices. Students were asked to document their everyday experience. The narratives were analysed and interpreted from the philosophical notion of hermeneutics. Four themes emerged as critical thinking contexts: anxiety, conflict, hyper-awareness, dilemmas. Writing narratives appear to provide opportunities for reflection in addition to facilitating critical thinking and communicative skills in students. Also, for the instructor, students' clinical narratives could provide insight to understand how students are thinking and to share student's personal difficulties.

  12. A Cross-Context Analysis of Civic Engagement Linking CIVED and U.S: Census Data

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    Judith Torney-Purta

    2012-04-01

    Full Text Available This study investigates direct and indirect family, peer, school, and neighborhood effects on adolescents’ civic engagement utilizing data from the 1999 IEA Civic Education Study and the U.S. Census. The nationally representative sample consists of 2,729 students from 119 schools in the U.S. Multi-level regression techniques provide precise estimates of the separate and shared impact of each context on adolescents’ civic engagement. Individual students’ civic experiences and discourse in school and at home predict higher civic engagement, although the effects of these experiences vary based on the larger school and neighborhood contexts. Overall, interactive effects indicate that students who may traditionally be deemed at a disadvantage (either because of poor school or neighborhood conditions experience more benefits from increases in civic learning opportunities than do more advantaged students. Suggestions are made for secondary analyses of ICCS (the IEA civic education study of 2009.

  13. Provenance studies of obsidians from Neolithic contexts in Southern Italy by IBA (Ion Beam Analysis) methods

    Energy Technology Data Exchange (ETDEWEB)

    Quarta, Gianluca, E-mail: gianluca.quarta@unisalento.it; Maruccio, Lucio, E-mail: lucio.maruccio@unisalento.it; Calcagnile, Lucio, E-mail: lucio.calcagnile@unisalento.it

    2011-12-15

    Obsidian samples recovered in archaeological contexts in Southern Italy were analysed by PIXE (Particle Induced X-ray Emission) and PIGE (Particle Induced Gamma Ray Emission) for the quantitative determination of both major and trace elements composition. The archaeological contexts were absolutely dated to the 5th millennium BC by mean of AMS (Accelerator Mass Spectrometry) radiocarbon dating analyses carried out on associated organic materials such as charcoal and human bones. The comparison of the compositional results obtained for the analysed samples with published data available for the known obsidian sources in the Mediterranean allowed to identify the sources of the raw material, giving an important contribution to the reconstruction of the ancient trade and exchange routes in Southern Italy prehistory.

  14. Provenance studies of obsidians from Neolithic contexts in Southern Italy by IBA (Ion Beam Analysis) methods

    Science.gov (United States)

    Quarta, Gianluca; Maruccio, Lucio; Calcagnile, Lucio

    2011-12-01

    Obsidian samples recovered in archaeological contexts in Southern Italy were analysed by PIXE (Particle Induced X-ray Emission) and PIGE (Particle Induced Gamma Ray Emission) for the quantitative determination of both major and trace elements composition. The archaeological contexts were absolutely dated to the 5th millennium BC by mean of AMS (Accelerator Mass Spectrometry) radiocarbon dating analyses carried out on associated organic materials such as charcoal and human bones. The comparison of the compositional results obtained for the analysed samples with published data available for the known obsidian sources in the Mediterranean allowed to identify the sources of the raw material, giving an important contribution to the reconstruction of the ancient trade and exchange routes in Southern Italy prehistory.

  15. CHO gene expression profiling in biopharmaceutical process analysis and design.

    Science.gov (United States)

    Schaub, Jochen; Clemens, Christoph; Schorn, Peter; Hildebrandt, Tobias; Rust, Werner; Mennerich, Detlev; Kaufmann, Hitto; Schulz, Torsten W

    2010-02-01

    Increase in both productivity and product yields in biopharmaceutical process development with recombinant protein producing mammalian cells can be mainly attributed to the advancements in cell line development, media, and process optimization. Only recently, genome-scale technologies enable a system-level analysis to elucidate the complex biomolecular basis of protein production in mammalian cells promising an increased process understanding and the deduction of knowledge-based approaches for further process optimization. Here, the use of gene expression profiling for the analysis of a low titer (LT) and high titer (HT) fed batch process using the same IgG producing CHO cell line was investigated. We found that gene expression (i) significantly differed in HT versus LT process conditions due to differences in applied chemically defined, serum-free media, (ii) changed over the time course of the fed batch processes, and that (iii) both metabolic pathways and 14 biological functions such as cellular growth or cell death were affected. Furthermore, detailed analysis of metabolism in a standard process format revealed the potential use of transcriptomics for rational media design as is shown for the case of lipid metabolism where the product titer could be increased by about 20% based on a lipid modified basal medium. The results demonstrate that gene expression profiling can be an important tool for mammalian biopharmaceutical process analysis and optimization.

  16. Taphonomic analysis in lacustrine environments: Two different contexts for Triassic lake paleofloras from Western Gondwana (Argentina)

    Science.gov (United States)

    Mancuso, Adriana Cecilia

    2009-12-01

    During the earliest Triassic several rift basins developed along the western margin of Gondwana associated with the pre-breakup of Pangea. They were filled by exclusively non-marine sediments including alluvial, fluvial, and lacustrine deposits. In the Ischigualasto-Villa Unión Basin, the lacustrine-deltaic succession is placed in the Los Rastros Formation and consists of several coarsening-upward cycles of black shale, siltstone, and sandstone. The paleontologic content of the succession includes abundant floral remains (related to the Dicroidium-type flora), invertebrates (conchostracans, insects), and vertebrates (fishes, a temnospondyl amphibian, ichnites). At the Cerro Puntudo area in the Cuyana Basin, the lacustrine succession forms the upper part of the Cerro Puntudo Formation and consists of limestone, stromatolitic limestone, mudstone, sandstone, and tuff. The paleontologic content includes scarce floral remains and rhizoliths; invertebrates are represented exclusively by traces (associated with ichnofacies of Skolithos and Scoyenia), and vertebrates by a fragment of the pelvic girdle of a basal arcosaur. The taphonomic analysis performed in the two Triassic lacustrine successions allows recognition of two different taphonomic histories for the plant remains. The Los Rastros lake preserved both autochthonous (originated in the littoral zone) and allochthonous (originated in the upstream fluvial system) elements. The offshore lacustrine area was dominated by autochthonous well-preserved elements and allochthonous plant debris and wood, which formed time-averaged accumulations. The delta deposits are characterized by allochthonous elements with varied preservational conditions, usually showing evidence of mechanical degradation and accumulation within a short time. Autochthonous and allochthonous material were preserved in the Los Rastros Lake by means of anoxic conditions in the offshore lacustrine area and high sedimentation rates in the delta. In

  17. Microarray gene expression analysis of uterosacral ligaments in uterine prolapse.

    Science.gov (United States)

    Ak, Handan; Zeybek, Burak; Atay, Sevcan; Askar, Niyazi; Akdemir, Ali; Aydin, Hikmet Hakan

    2016-11-01

    Pelvic organ prolapse (POP) is a major health problem that impairs the quality of life with a wide clinical spectrum. Since the uterosacral ligaments provide primary support for the uterus and the upper vagina, we hypothesize that the disruption of these ligaments may lead to a loss of support and eventually contribute to POP. In this study, we therefore investigated whether there are any differences in the transcription profile of uterosacral ligaments in patients with POP when compared to those of the control samples. Seventeen women with POP and 8 non-POP controls undergoing hysterectomy for benign conditions were included in the study. Affymetrix® Gene Chip microarrays (Human Hu 133 plus 2.0) were used for whole genome gene expression profiling analysis. There was 1 significantly down-regulated gene, NKX2-3 in patients with POP compared to the controls (p=4.28464e-013). KIF11 gene was found to be significantly down-regulated in patients with ≥3 deliveries compared to patients with <3 deliveries (p=0.0156237). UGT1A1 (p=2.43388e-005), SCARB1 (p=1.19001e-006) and NKX2-3 (p=2.17966e-013) genes were found to be significantly down-regulated in the premenopausal patients compared to the premenopausal controls. UGT1A1 gene was also found to be significantly down-regulated in the post menopausal patients compared to the postmenopausal controls (p=0.0005). This study provides evidence for a significant down-regulation of the genes that take role in cell cycle, proliferation and embryonic development along with cell adhesion process on the development of POP for the first time. Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

  18. Livelihood vulnerability index analysis: An approach to study vulnerability in the context of Bihar

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    Madhuri .

    2014-03-01

    Full Text Available Vulnerability is the capacity to anticipate, cope with, resist and recover from the impact of natural disasters. Floods add to the distressed conditions of the poor and vulnerable people in Bihar. Floods have a different impact on households depending on differences in their livelihood choices. Therefore, in order to identify the variability in vulnerability of affected households, the livelihood vulnerability index (LVI of Hahn, Riederer and Foster was modified according to the context of the study area. The LVI aims to identify sources and forms of vulnerability that are specific to the context in order to design context-specific resilience measures. However, vulnerability and resilience are not interdependent but discrete entities. The study was conducted in the seven blocks of Bhagalpur district in the state of Bihar. Naugachia was found to be the least vulnerable because of better access to basic amenities and livelihood strategies, whilst Kharik was found to be highly vulnerable in respect to other blocks because of high sensitivity and less adaptive strategy. The study also revealed that better access to resources does not necessarily mean that households are adopting resilience measures because of apathetic or indifferent attitudes.

  19. Molecular analysis of immunoglobulin genes in multiple myeloma.

    Science.gov (United States)

    Kosmas, C; Stamatopoulos, K; Stavroyianni, N; Belessi, C; Viniou, N; Yataganas, X

    1999-04-01

    The study of immunoglobulin genes in multiple myeloma over the last five years has provided important information regarding biology, ontogenetic location, disease evolution, pathogenic consequences and tumor-specific therapeutic intervention with idiotypic vaccination. Detailed analysis of V(H) genes has revealed clonal relationship between switch variants expressed by the bone marrow plasma cell and myeloma progenitors in the marrow and peripheral blood. V(H) gene usage is biased against V4-34 (encoding antibodies with cold agglutinin specificity; anti-l/i) explaining the absence of autoimmune phenomena in myeloma compared to other B-cell lymphoproliferative disorders. V(H) genes accumulate somatic hypermutations following a distribution compatible with antigen selection, but with no intraclonal heterogeneity. V(L) genes indicate a bias in usage of VkappaI family members and somatic hypermutation, in line with antigen selection, of the expressed Vkappa genes is higher than any other B-cell lymphoid disorder. A complementary imprint of antigen selection as evidenced by somatic hypermutation of either the V(H) or V(L) clonogenic genes has been observed. The absence of ongoing somatic mutations in either V(H) or V(L) genes gives rise to the notion that the cell of origin in myeloma is a post-germinal center memory B-cell. Clinical application of sensitive PCR methods in order to detect clonal immunoglobulin gene rearrangements has made relevant the monitoring and follow-up of minimal residual disease in stem cell autografts and after myeloablative therapy. The fact that surface immunoglobulin V(H) and V(L) sequences constitute unique tumor-specific antigenic determinants has stimulated investigators to devise strategies aiming to generate active specific immunity against the idiotype of malignant B-cells in myeloma by constructing vaccines based on expressed single-chain Fv fragments, DNA plasmids carrying V(H)+V(L) clonogenic genes for naked DNA vaccination, or

  20. Understanding persuasion contexts in health gamification: A systematic analysis of gamified health behavior change support systems literature.

    Science.gov (United States)

    Alahäivälä, Tuomas; Oinas-Kukkonen, Harri

    2016-12-01

    Gamification is increasingly used as a design strategy when developing behavior change support systems in the healthcare domain. It is commonly agreed that understanding the contextual factors is critical for successful gamification, but systematic analyses of the persuasive contexts have been lacking so far within gamified health intervention studies. Through a persuasion context analysis of the gamified health behavior change support systems (hBCSSs) literature, we inspect how the contextual factors have been addressed in the prior gamified health BCSS studies. The implications of this study are to provide the practitioners and researchers examples of how to conduct a systematic analysis to help guide the design and research on gamified health BCSSs. The ideas derived from the analysis of the included studies will help identify potential pitfalls and shortcomings in both the research and implementations of gamified health behavior change support systems. We systematically analyzed the persuasion contexts of 15 gamified health intervention studies. According to our results, gamified hBCSSs are implemented under different facets of lifestyle change and treatments compliance, and use a multitude of technologies and methods. We present a set of ideas and concepts to help improve endeavors in studying gamified health intervention through comprehensive understanding of the persuasive contextual factors. Future research on gamified hBCSSs should systematically compare the different combinations of contextual factors, related theories, chosen gamification strategies, and the study of outcomes to help understand how to achieve the most efficient use of gamification on the different aspects of healthcare. Analyzing the persuasion context is essential to achieve this. With the attained knowledge, those planning health interventions can choose the 'tried-and-tested' approaches for each particular situation, rather than develop solutions in an ad-hoc manner. Copyright © 2016

  1. Comparative analysis of ADS gene promoter in seven Artemisia species

    Indian Academy of Sciences (India)

    Mojtaba Ranjbar; Mohammad Reza Naghavi; Hoshang Alizadeh

    2014-12-01

    Artemisinin is the most effective antimalarial drug that is derived from Artemisia annua. Amorpha-4,11-diene synthase (ADS) controls the first committed step in artemisinin biosynthesis. The ADS gene expression is regulated by transcription factors which bind to the cis-acting elements on the ADS promoter and are probably responsible for the ADS gene expression difference in the Artemisia species. To identify the elements that are significantly involved in ADS gene expression, the ADS gene promoter of the seven Artemisia species was isolated and comparative analysis was performed on the ADS promoter sequences of these species. Results revealed that some of the cis-elements were unique or in terms of number were more in the high artemisinin producer species, A. annua, than the other species. We have reported that the light-responsive elements, W-box, CAAT-box, 5′-UTR py-rich stretch, TATA-box sequence and tandem repeat sequences have been identified as important factors in the increased expression of ADS gene.

  2. Identification of oral cancer related candidate genes by integrating protein-protein interactions, gene ontology, pathway analysis and immunohistochemistry.

    Science.gov (United States)

    Kumar, Ravindra; Samal, Sabindra K; Routray, Samapika; Dash, Rupesh; Dixit, Anshuman

    2017-05-30

    In the recent years, bioinformatics methods have been reported with a high degree of success for candidate gene identification. In this milieu, we have used an integrated bioinformatics approach assimilating information from gene ontologies (GO), protein-protein interaction (PPI) and network analysis to predict candidate genes related to oral squamous cell carcinoma (OSCC). A total of 40973 PPIs were considered for 4704 cancer-related genes to construct human cancer gene network (HCGN). The importance of each node was measured in HCGN by ten different centrality measures. We have shown that the top ranking genes are related to a significantly higher number of diseases as compared to other genes in HCGN. A total of 39 candidate oral cancer target genes were predicted by combining top ranked genes and the genes corresponding to significantly enriched oral cancer related GO terms. Initial verification using literature and available experimental data indicated that 29 genes were related with OSCC. A detailed pathway analysis led us to propose a role for the selected candidate genes in the invasion and metastasis in OSCC. We further validated our predictions using immunohistochemistry (IHC) and found that the gene FLNA was upregulated while the genes ARRB1 and HTT were downregulated in the OSCC tissue samples.

  3. Network analysis of genes and their association with diseases.

    Science.gov (United States)

    Kontou, Panagiota I; Pavlopoulou, Athanasia; Dimou, Niki L; Pavlopoulos, Georgios A; Bagos, Pantelis G

    2016-09-15

    A plethora of network-based approaches within the Systems Biology universe have been applied, to date, to investigate the underlying molecular mechanisms of various human diseases. In the present study, we perform a bipartite, topological and clustering graph analysis in order to gain a better understanding of the relationships between human genetic diseases and the relationships between the genes that are implicated in them. For this purpose, disease-disease and gene-gene networks were constructed from combined gene-disease association networks. The latter, were created by collecting and integrating data from three diverse resources, each one with different content covering from rare monogenic disorders to common complex diseases. This data pluralism enabled us to uncover important associations between diseases with unrelated phenotypic manifestations but with common genetic origin. For our analysis, the topological attributes and the functional implications of the individual networks were taken into account and are shortly discussed. We believe that some observations of this study could advance our understanding regarding the etiology of a disease with distinct pathological manifestations, and simultaneously provide the springboard for the development of preventive and therapeutic strategies and its underlying genetic mechanisms.

  4. Bioinformatics Analysis of MAPKKK Family Genes in Medicago truncatula

    Science.gov (United States)

    Li, Wei; Xu, Hanyun; Liu, Ying; Song, Lili; Guo, Changhong; Shu, Yongjun

    2016-01-01

    Mitogen-activated protein kinase kinase kinase (MAPKKK) is a component of the MAPK cascade pathway that plays an important role in plant growth, development, and response to abiotic stress, the functions of which have been well characterized in several plant species, such as Arabidopsis, rice, and maize. In this study, we performed genome-wide and systemic bioinformatics analysis of MAPKKK family genes in Medicago truncatula. In total, there were 73 MAPKKK family members identified by search of homologs, and they were classified into three subfamilies, MEKK, ZIK, and RAF. Based on the genomic duplication function, 72 MtMAPKKK genes were located throughout all chromosomes, but they cluster in different chromosomes. Using microarray data and high-throughput sequencing-data, we assessed their expression profiles in growth and development processes; these results provided evidence for exploring their important functions in developmental regulation, especially in the nodulation process. Furthermore, we investigated their expression in abiotic stresses by RNA-seq, which confirmed their critical roles in signal transduction and regulation processes under stress. In summary, our genome-wide, systemic characterization and expressional analysis of MtMAPKKK genes will provide insights that will be useful for characterizing the molecular functions of these genes in M. truncatula. PMID:27049397

  5. Bioinformatics Analysis of MAPKKK Family Genes in Medicago truncatula

    Directory of Open Access Journals (Sweden)

    Wei Li

    2016-04-01

    Full Text Available Mitogen‐activated protein kinase kinase kinase (MAPKKK is a component of the MAPK cascade pathway that plays an important role in plant growth, development, and response to abiotic stress, the functions of which have been well characterized in several plant species, such as Arabidopsis, rice, and maize. In this study, we performed genome‐wide and systemic bioinformatics analysis of MAPKKK family genes in Medicago truncatula. In total, there were 73 MAPKKK family members identified by search of homologs, and they were classified into three subfamilies, MEKK, ZIK, and RAF. Based on the genomic duplication function, 72 MtMAPKKK genes were located throughout all chromosomes, but they cluster in different chromosomes. Using microarray data and high‐throughput sequencing‐data, we assessed their expression profiles in growth and development processes; these results provided evidence for exploring their important functions in developmental regulation, especially in the nodulation process. Furthermore, we investigated their expression in abiotic stresses by RNA‐seq, which confirmed their critical roles in signal transduction and regulation processes under stress. In summary, our genome‐wide, systemic characterization and expressional analysis of MtMAPKKK genes will provide insights that will be useful for characterizing the molecular functions of these genes in M. truncatula.

  6. Evaluation of real-time PCR endogenous control genes for analysis of gene expression in bovine endometrium

    Directory of Open Access Journals (Sweden)

    Mitchell Murray D

    2009-11-01

    Full Text Available Abstract Background Quantitative real-time PCR gene expression results are generally normalised using endogenous control genes. These reference genes should be expressed at a constant level across all sample groups in a study, and should not be influenced by study treatments or conditions. There has been no systematic investigation of endogenous control genes for bovine endometrium to date. The suitability of both commonly used and novel endogenous control genes was evaluated in this study, with the latter being selected from stably expressed transcripts identified through microarray analysis of bovine endometrium. Fifteen candidate endogenous control genes were assessed across different tissue subtypes in pregnant and cycling Holstein-Friesian dairy cows from two divergent genetic backgrounds. Results The expression profiles of five commonly used endogenous control genes (GAPDH, PPIA, RPS9, RPS15A, and UXT and 10 experimentally derived candidate endogenous control genes (SUZ12, C2ORF29, ZNF131, ACTR1A, HDAC1, SLC30A6, CNOT7, DNAJC17, BBS2, and RANBP10 were analysed across 44 samples to determine the most stably expressed gene. Gene stability was assessed using the statistical algorithms GeNorm and Normfinder. All genes presented with low overall variability (0.87 to 1.48% CV of Cq. However, when used to normalise a differentially expressed gene (oxytocin receptor - OXTR in the samples, the reported relative gene expression levels were significantly affected by the control gene chosen. Based on the results of this analysis, SUZ12 is proposed as the most appropriate control gene for use in bovine endometrium during early pregnancy or the oestrus cycle. Conclusion This study establishes the suitability of novel endogenous control genes for comparing expression levels in endometrial tissues of pregnant and cycling bovines, and demonstrates the utility of microarray analysis as a method for identifying endogenous control gene candidates.

  7. Meta Analysis of Gene Expression Data within and Across Species.

    Science.gov (United States)

    Fierro, Ana C; Vandenbussche, Filip; Engelen, Kristof; Van de Peer, Yves; Marchal, Kathleen

    2008-12-01

    Since the second half of the 1990s, a large number of genome-wide analyses have been described that study gene expression at the transcript level. To this end, two major strategies have been adopted, a first one relying on hybridization techniques such as microarrays, and a second one based on sequencing techniques such as serial analysis of gene expression (SAGE), cDNA-AFLP, and analysis based on expressed sequence tags (ESTs). Despite both types of profiling experiments becoming routine techniques in many research groups, their application remains costly and laborious. As a result, the number of conditions profiled in individual studies is still relatively small and usually varies from only two to few hundreds of samples for the largest experiments. More and more, scientific journals require the deposit of these high throughput experiments in public databases upon publication. Mining the information present in these databases offers molecular biologists the possibility to view their own small-scale analysis in the light of what is already available. However, so far, the richness of the public information remains largely unexploited. Several obstacles such as the correct association between ESTs and microarray probes with the corresponding gene transcript, the incompleteness and inconsistency in the annotation of experimental conditions, and the lack of standardized experimental protocols to generate gene expression data, all impede the successful mining of these data. Here, we review the potential and difficulties of combining publicly available expression data from respectively EST analyses and microarray experiments. With examples from literature, we show how meta-analysis of expression profiling experiments can be used to study expression behavior in a single organism or between organisms, across a wide range of experimental conditions. We also provide an overview of the methods and tools that can aid molecular biologists in exploiting these public data.

  8. Analysis of diabetic retinopathy biomarker VEGF gene by computational approaches

    OpenAIRE

    Jayashree Sadasivam; Ramesh, N.; K. Vijayalakshmi; Vinni Viridi; Shiva prasad

    2012-01-01

    Diabetic retinopathy, the most common diabetic eye disease, is caused by changes in the blood vessels of the retina which remains the major cause. It is characterized by vascular permeability and increased tissue ischemia and angiogenesis. One of the biomarker for Diabetic retinopathy has been identified as Vascular Endothelial Growth Factor ( VEGF )gene by computational analysis. VEGF is a sub-family of growth factors, the platelet-derived growth factor family of cystine-knot growth factors...

  9. Multi-membership gene regulation in pathway based microarray analysis

    OpenAIRE

    2011-01-01

    This article is available through the Brunel Open Access Publishing Fund. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background: Gene expression analysis has been intensively researched for more than a decade. Recently, there has been elevated interest in the inte...

  10. Trypanosome Surface Antigen Genes: Analysis Using Recombinant DNA.

    Science.gov (United States)

    1984-06-15

    different VATs. These cDNAs were used to screen the genomic libraries . The cloned probes were examined by nucleotide sequence analysis and used to...examination of the consequence of - antigenic variation on the structure of the 1.1, 1.D and 1.11 VSG -, gene sequences. In addition, all genomic libraries have...immunoprecipitated by heterologous VAt specific antisera (preprint 2, figure 3; preprint 3, figure 1). These data presented in preprints 2 and Genomic

  11. Canine Mammary Carcinomas: A Comparative Analysis of Altered Gene Expression

    Directory of Open Access Journals (Sweden)

    Farruk M. Lutful Kabir

    2015-12-01

    Full Text Available Breast cancer represents the second most frequent neoplasm in humans and sexually intact female dogs after lung and skin cancers, respectively. Many similar features in human and dog cancers including, spontaneous development, clinical presentation, tumor heterogeneity, disease progression and response to conventional therapies have supported development of this comparative model as an alternative to mice. The highly conserved similarities between canine and human genomes are also key to this comparative analysis, especially when compared to the murine genome. Studies with canine mammary tumor (CMT models have shown a strong genetic correlation with their human counterparts, particularly in terms of altered expression profiles of cell cycle regulatory genes, tumor suppressor and oncogenes and also a large group of non-coding RNAs or microRNAs (miRNAs. Because CMTs are considered predictive intermediate models for human breast cancer, similarities in genetic alterations and cancer predisposition between humans and dogs have raised further interest. Many cancer-associated genetic defects critical to mammary tumor development and oncogenic determinants of metastasis have been reported and appear to be similar in both species. Comparative analysis of deregulated gene sets or cancer signaling pathways has shown that a significant proportion of orthologous genes are comparably up- or down-regulated in both human and dog breast tumors. Particularly, a group of cell cycle regulators called cyclin-dependent kinase inhibitors (CKIs acting as potent tumor suppressors are frequently defective in CMTs. Interestingly, comparative analysis of coding sequences has also shown that these genes are highly conserved in mammals in terms of their evolutionary divergence from a common ancestor. Moreover, co-deletion and/or homozygous loss of the INK4A/ARF/INK4B (CDKN2A/B locus, encoding three members of the CKI tumor suppressor gene families (p16/INK4A, p14ARF and p15

  12. Understanding gene expression in coronary artery disease through global profiling, network analysis and independent validation of key candidate genes

    Indian Academy of Sciences (India)

    Prathima Arvind; Shanker Jayashree; Srikarthika Jambunathan; Jiny Nair; Vijay V. Kakkar

    2015-12-01

    Molecular mechanism underlying the patho-physiology of coronary artery disease (CAD) is complex. We used global expression profiling combined with analysis of biological network to dissect out potential genes and pathways associated with CAD in a representative case–control Asian Indian cohort. We initially performed blood transcriptomics profiling in 20 subjects, including 10 CAD patients and 10 healthy controls on the Agilent microarray platform. Data was analysed with Gene Spring Gx12.5, followed by network analysis using David v 6.7 and Reactome databases. The most significant differentially expressed genes from microarray were independently validated by real time PCR in 97 cases and 97 controls. A total of 190 gene transcripts showed significant differential expression (fold change > 2, P < 0.05) between the cases and the controls of which 142 genes were upregulated and 48 genes were downregulated. Genes associated with inflammation, immune response, cell regula- tion, proliferation and apoptotic pathways were enriched, while inflammatory and immune response genes were displayed as hubs in the network, having greater number of interactions with the neighbouring genes. Expression of 1/2/3, 8, 1, 2, 69, , , 4, 42, 58, and 42 genes were independently validated; 1/2/3 and 8 showed >8-fold higher expression in cases relative to the controls implying their important role in CAD. In conclusion, global gene expression profiling combined with network analysis can help in identifying key genes and pathways for CAD.

  13. Gender Differences in Public and Private Drinking Contexts: A Multi-Level GENACIS Analysis

    Directory of Open Access Journals (Sweden)

    Jason C. Bond

    2010-05-01

    Full Text Available This multi-national study hypothesized that higher levels of country-level gender equality would predict smaller differences in the frequency of women’s compared to men’s drinking in public (like bars and restaurants settings and possibly private (home or party settings. GENACIS project survey data with drinking contexts included 22 countries in Europe (8; the Americas (7; Asia (3; Australasia (2, and Africa (2, analyzed using hierarchical linear models (individuals nested within country. Age, gender and marital status were individual predictors; country-level gender equality as well as equality in economic participation, education, and political participation, and reproductive autonomy and context of violence against women measures were country-level variables. In separate models, more reproductive autonomy, economic participation, and educational attainment and less violence against women predicted smaller differences in drinking in public settings. Once controlling for country-level economic status, only equality in economic participation predicted the size of the gender difference. Most country-level variables did not explain the gender difference in frequency of drinking in private settings. Where gender equality predicted this difference, the direction of the findings was opposite from the direction in public settings, with more equality predicting a larger gender difference, although this relationship was no longer significant after controlling for country-level economic status. Findings suggest that country-level gender equality may influence gender differences in drinking. However, the effects of gender equality on drinking may depend on the specific alcohol measure, in this case drinking context, as well as on the aspect of gender equality considered. Similar studies that use only global measures of gender equality may miss key relationships. We consider potential implications for alcohol related consequences, policy and public

  14. Gender differences in public and private drinking contexts: a multi-level GENACIS analysis.

    Science.gov (United States)

    Bond, Jason C; Roberts, Sarah C M; Greenfield, Thomas K; Korcha, Rachael; Ye, Yu; Nayak, Madhabika B

    2010-05-01

    This multi-national study hypothesized that higher levels of country-level gender equality would predict smaller differences in the frequency of women's compared to men's drinking in public (like bars and restaurants) settings and possibly private (home or party) settings. GENACIS project survey data with drinking contexts included 22 countries in Europe (8); the Americas (7); Asia (3); Australasia (2), and Africa (2), analyzed using hierarchical linear models (individuals nested within country). Age, gender and marital status were individual predictors; country-level gender equality as well as equality in economic participation, education, and political participation, and reproductive autonomy and context of violence against women measures were country-level variables. In separate models, more reproductive autonomy, economic participation, and educational attainment and less violence against women predicted smaller differences in drinking in public settings. Once controlling for country-level economic status, only equality in economic participation predicted the size of the gender difference. Most country-level variables did not explain the gender difference in frequency of drinking in private settings. Where gender equality predicted this difference, the direction of the findings was opposite from the direction in public settings, with more equality predicting a larger gender difference, although this relationship was no longer significant after controlling for country-level economic status. Findings suggest that country-level gender equality may influence gender differences in drinking. However, the effects of gender equality on drinking may depend on the specific alcohol measure, in this case drinking context, as well as on the aspect of gender equality considered. Similar studies that use only global measures of gender equality may miss key relationships. We consider potential implications for alcohol related consequences, policy and public health.

  15. LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights.

    Science.gov (United States)

    Dong, Xinran; Hao, Yun; Wang, Xiao; Tian, Weidong

    2016-01-11

    Pathway or gene set over-representation analysis (ORA) has become a routine task in functional genomics studies. However, currently widely used ORA tools employ statistical methods such as Fisher's exact test that reduce a pathway into a list of genes, ignoring the constitutive functional non-equivalent roles of genes and the complex gene-gene interactions. Here, we develop a novel method named LEGO (functional Link Enrichment of Gene Ontology or gene sets) that takes into consideration these two types of information by incorporating network-based gene weights in ORA analysis. In three benchmarks, LEGO achieves better performance than Fisher and three other network-based methods. To further evaluate LEGO's usefulness, we compare LEGO with five gene expression-based and three pathway topology-based methods using a benchmark of 34 disease gene expression datasets compiled by a recent publication, and show that LEGO is among the top-ranked methods in terms of both sensitivity and prioritization for detecting target KEGG pathways. In addition, we develop a cluster-and-filter approach to reduce the redundancy among the enriched gene sets, making the results more interpretable to biologists. Finally, we apply LEGO to two lists of autism genes, and identify relevant gene sets to autism that could not be found by Fisher.

  16. Portfolio Risk Analysis using ARCH and GARCH Models in the Context of the Global Financial Crisis

    Directory of Open Access Journals (Sweden)

    Oana Mădălina PREDESCU

    2011-02-01

    Full Text Available This paper examines both the benefits of choosing an internationally diversified portfolio and the evolution of the portfolio risk in the context of the current global financial crisis. The portfolio is comprised of three benchmark indexes from Romania, UK and USA. Study results show that on the background of a global economic climate eroded strongly by the effects of the current financial crisis, international diversification does not reduce risk. Moreover, using ARCH and GARCH models shows that the evolution of portfolio volatility is influenced by the effects of the current global financial crisis.

  17. Thermal balneotherapy in Antsirabe-Madagascar: water analysis and its applications in an African context.

    Science.gov (United States)

    Pedrazzini, Alessio; Delsignore, Roberto; Martelli, Alessandra; Tocco, Silvio; Vaienti, Enrico; Ceccarelli, Francesco; Pogliacomi, Francesco

    2016-04-15

    The Orthopaedic Rehabilitation Centre of Madagascar can be found in the city of Antsirabe. The health care facility is equipped with 2 thermal sources of bicarbonate water used for post-operative rehabilitation and for the ailment of chronic degenerative illnesses. The aim of this study, which derives from the cooperation between the School of Specialization in Thermal Therapy of the University of Parma and Antsirabe Orthopaedic Hospital, is to analyze the real properties of thermal waters utilized in this centre and to do an overview of its possible applications in this particular African context.

  18. An Analysis of the Energy Efficiency of the EU Economy in the Context of Sustainable Development

    OpenAIRE

    Ghita Simona

    2013-01-01

    In the context of the accentuation of the negative impact of human activity on the environment, the energy efficiency issue becomes more and more important. The European Union has developed a package of policy measures in the field of energy in which energy efficiency is seen as a key that can provide fulfillment of other major EU targets. This paper analyzes the level and evolution of statistical indicators of energy efficiency at EU level, in relation to the rate of economic growth and rese...

  19. Automated genomic context analysis and experimental validation platform for discovery of prokaryote transcriptional regulator functions.

    Science.gov (United States)

    Martí-Arbona, Ricardo; Mu, Fangping; Nowak-Lovato, Kristy L; Wren, Melinda S; Unkefer, Clifford J; Unkefer, Pat J

    2014-12-18

    The clustering of genes in a pathway and the co-location of functionally related genes is widely recognized in prokaryotes. We used these characteristics to predict the metabolic involvement for a Transcriptional Regulator (TR) of unknown function, identified and confirmed its biological activity. A software tool that identifies the genes encoded within a defined genomic neighborhood for the subject TR and its homologs was developed. The output lists of genes in the genetic neighborhoods, their annotated functions, the reactants/products, and identifies the metabolic pathway in which the encoded-proteins function. When a set of TRs of known function was analyzed, we observed that their homologs frequently had conserved genomic neighborhoods that co-located the metabolically related genes regulated by the subject TR. We postulate that TR effectors are metabolites in the identified pathways; indeed the known effectors were present. We analyzed Bxe_B3018 from Burkholderia xenovorans, a TR of unknown function and predicted that this TR was related to the glycine, threonine and serine degradation. We tested the binding of metabolites in these pathways and for those that bound, their ability to modulate TR binding to its specific DNA operator sequence. Using rtPCR, we confirmed that methylglyoxal was an effector of Bxe_3018. These studies provide the proof of concept and validation of a systematic approach to the discovery of the biological activity for proteins of unknown function, in this case a TR. Bxe_B3018 is a methylglyoxal responsive TR that controls the expression of an operon composed of a putative efflux system.

  20. Gene network analysis in a pediatric cohort identifies novel lung function genes.

    Directory of Open Access Journals (Sweden)

    Bruce A Ong

    Full Text Available Lung function is a heritable trait and serves as an important clinical predictor of morbidity and mortality for pulmonary conditions in adults, however, despite its importance, no studies have focused on uncovering pediatric-specific loci influencing lung function. To identify novel genetic determinants of pediatric lung function, we conducted a genome-wide association study (GWAS of four pulmonary function traits, including FVC, FEV1, FEV1/FVC and FEF25-75% in 1556 children. Further, we carried out gene network analyses for each trait including all SNPs with a P-value of <1.0 × 10(-3 from the individual GWAS. The GWAS identified SNPs with notable trends towards association with the pulmonary function measures, including the previously described INTS12 locus association with FEV1 (pmeta=1.41 × 10(-7. The gene network analyses identified 34 networks of genes associated with pulmonary function variables in Caucasians. Of those, the glycoprotein gene network reached genome-wide significance for all four variables. P-value range pmeta=6.29 × 10(-4 - 2.80 × 10(-8 on meta-analysis. In this study, we report on specific pathways that are significantly associated with pediatric lung function at genome-wide significance. In addition, we report the first loci associated with lung function in both pediatric Caucasian and African American populations.

  1. Comparative genomic analysis of sixty mycobacteriophage genomes: Genome clustering, gene acquisition and gene size

    Science.gov (United States)

    Hatfull, Graham F.; Jacobs-Sera, Deborah; Lawrence, Jeffrey G.; Pope, Welkin H.; Russell, Daniel A.; Ko, Ching-Chung; Weber, Rebecca J.; Patel, Manisha C.; Germane, Katherine L.; Edgar, Robert H.; Hoyte, Natasha N.; Bowman, Charles A.; Tantoco, Anthony T.; Paladin, Elizabeth C.; Myers, Marlana S.; Smith, Alexis L.; Grace, Molly S.; Pham, Thuy T.; O'Brien, Matthew B.; Vogelsberger, Amy M.; Hryckowian, Andrew J.; Wynalek, Jessica L.; Donis-Keller, Helen; Bogel, Matt W.; Peebles, Craig L.; Cresawn, Steve G.; Hendrix, Roger W.

    2010-01-01

    Mycobacteriophages are viruses that infect mycobacterial hosts. Expansion of a collection of sequenced phage genomes to a total of sixty – all infecting a common bacterial host – provides further insight into their diversity and evolution. Of the sixty phage genomes, 55 can be grouped into nine clusters according to their nucleotide sequence similarities, five of which can be further divided into subclusters; five genomes do not cluster with other phages. The sequence diversity between genomes within a cluster varies greatly; for example, the six genomes in cluster D share more than 97.5% average nucleotide similarity with each other. In contrast, similarity between the two genomes in Cluster I is barely detectable by diagonal plot analysis. The total of 6,858 predicted ORFs have been grouped into 1523 phamilies (phams) of related sequences, 46% of which possess only a single member. Only 18.8% of the phams have sequence similarity to non-mycobacteriophage database entries and fewer than 10% of all phams can be assigned functions based on database searching or synteny. Genome clustering facilitates the identification of genes that are in greatest genetic flux and are more likely to have been exchanged horizontally in relatively recent evolutionary time. Although mycobacteriophage genes exhibit smaller average size than genes of their host (205 residues compared to 315), phage genes in higher flux average only ∼100 amino acids, suggesting that the primary units of genetic exchange correspond to single protein domains. PMID:20064525

  2. Global Analysis of miRNA Gene Clusters and Gene Families Reveals Dynamic and Coordinated Expression

    Directory of Open Access Journals (Sweden)

    Li Guo

    2014-01-01

    Full Text Available To further understand the potential expression relationships of miRNAs in miRNA gene clusters and gene families, a global analysis was performed in 4 paired tumor (breast cancer and adjacent normal tissue samples using deep sequencing datasets. The compositions of miRNA gene clusters and families are not random, and clustered and homologous miRNAs may have close relationships with overlapped miRNA species. Members in the miRNA group always had various expression levels, and even some showed larger expression divergence. Despite the dynamic expression as well as individual difference, these miRNAs always indicated consistent or similar deregulation patterns. The consistent deregulation expression may contribute to dynamic and coordinated interaction between different miRNAs in regulatory network. Further, we found that those clustered or homologous miRNAs that were also identified as sense and antisense miRNAs showed larger expression divergence. miRNA gene clusters and families indicated important biological roles, and the specific distribution and expression further enrich and ensure the flexible and robust regulatory network.

  3. Toward a more comprehensive analysis of the role of organizational culture in child sexual abuse in institutional contexts.

    Science.gov (United States)

    Palmer, Donald; Feldman, Valerie

    2017-08-17

    This article draws on a report prepared for the Australian Royal Commission into Institutional Responses to Child Sexual Abuse (Palmer et al., 2016) to develop a more comprehensive analysis of the role that organizational culture plays in child sexual abuse in institutional contexts, where institutional contexts are taken to be formal organizations that include children among their members (referred to here as "youth-serving organizations"). We begin by integrating five strains of theory and research on organizational culture from organizational sociology and management theory into a unified framework for analysis. We then elaborate the main paths through which organizational culture can influence child sexual abuse in youth-serving organizations. We then use our unified analytic framework and our understanding of the main paths through which organizational culture can influence child sexual abuse in youth-serving organizations to analyze the role that organizational culture plays in the perpetration, detection, and response to child sexual abuse in youth-serving organizations. We selectively illustrate our analysis with case materials compiled by the Royal Commission into Institutional Responses to Child Sexual Abuse and reports of child sexual abuse published in a variety of other sources. We conclude with a brief discussion of the policy implications of our analysis. Copyright © 2017. Published by Elsevier Ltd.

  4. Identification and Expression Analysis of Spastin Gene Mutations in Hereditary Spastic Paraplegia

    Science.gov (United States)

    Svenson, Ingrid K.; Ashley-Koch, Allison E.; Gaskell, P. Craig; Riney, Travis J.; Cumming, W. J. Ken; Kingston, Helen M.; Hogan, Edward L.; Boustany, Rose-Mary N.; Vance, Jeffery M.; Nance, Martha A.; Pericak-Vance, Margaret A.; Marchuk, Douglas A.

    2001-01-01

    Pure hereditary spastic paraplegia (SPG) type 4 is the most common form of autosomal dominant hereditary SPG, a neurodegenerative disease characterized primarily by hyperreflexia and progressive spasticity of the lower limbs. It is caused by mutations in the gene encoding spastin, a member of the AAA family of ATPases. We have screened the spastin gene for mutations in 15 families consistent with linkage to the spastin gene locus, SPG4, and have identified 11 mutations, 10 of which are novel. Five of the mutations identified are in noninvariant splice-junction sequences. Reverse transcription–PCR analysis of mRNA from patients shows that each of these five mutations results in aberrant splicing. One mutation was found to be “leaky,” or partially penetrant; that is, the mutant allele produced both mutant (skipped exon) and wild-type (full-length) transcripts. This phenomenon was reproduced in in vitro splicing experiments, with a minigene splicing-vector construct only in the context of the endogenous splice junctions flanking the splice junctions of the skipped exon. In the absence of endogenous splice junctions, only mutant transcript was detected. The existence of at least one leaky mutation suggests that relatively small differences in the level of wild-type spastin expression can have significant functional consequences. This may account, at least in part, for the wide ranges in age at onset, symptom severity, and rate of symptom progression that have been reported to occur both among and within families with SPG linked to SPG4. In addition, these results suggest caution in the interpretation of data solely obtained with minigene constructs to study the effects of sequence variation on splicing. The lack of full genomic sequence context in these constructs can mask important functional consequences of the mutation. PMID:11309678

  5. Analysis of Critical Thinking Skill Training Exercises in EAP Writing Context

    Institute of Scientific and Technical Information of China (English)

    王慧颖

    2015-01-01

    Critical thinking, as higher-order thinking, is the use of relatively complex cognitive skills like analyzing, reasoning, making judgments. This paper analyzed the distribution of exercises on critical thinking skills in EAP writing context for EFL stu-dents. The data were randomly collected and systematically coded according to the new version of Bloom 's taxonomy of critical thinking cue questions:lower-order thinking (LOT, including remembering, understanding, and applying) and higher-order think-ing (HOT, including analyzing, evaluating, and creating). The findings showed that HOT exercises have a higher proportion than LOT exercises in EAP writing context for EFL students. Most cue questions in HOT exercises greatly emphasize the training of crit-ical thinking skills and enhance the effectiveness of promoting learners'critical thinking skills. Therefore, critical thinking skills, as a product of training and practice, tend to be trained to improve students'language learning and development, and especially to facilitate development of cognitive and higher-order cognitive skills. Based on the findings, the training of critical thinking is ex-pected to be improved in English learning for EFL undergraduates, so as to make improvement in cultivating Chinese EFL stu-dents'critical thinking skills.

  6. Specific deterrence, community context, and drunk driving: an event history analysis.

    Science.gov (United States)

    Lee, Chang-Bae; Teske, Raymond H C

    2015-03-01

    Previous studies about recidivism of offenders have focused primarily on the nature of the sanctions and factors specific to the individual offender. This study addressed both individual and community factors, using a cohort of felony-level, driving while intoxicated (DWI) probationers (N = 370) charged in Harris County, Texas. The study investigated specific deterrent effects of sanctions on success or failure of probationers while controlling for the community contexts to observe how informal social control processes contextualize individual-level predictors. Results of a series of event history analyses tracking probationers for a period of 8 years indicated that severity of punishment, swiftness of punishment, criminal history, and completion of DWI education programs significantly affected the probationer's survival time, whereas no significant influence of community contexts on survival time or success was observed. Reducing the felony charge to a misdemeanor, a shorter period of probation, and past criminal history, combined with an almost immediate guilty plea, were significantly associated with short-term failure on probation. © The Author(s) 2015.

  7. Structural Analysis and Optimization of Context-Independent Anti-Hypusine Antibodies.

    Science.gov (United States)

    Zhai, Qianting; He, Meng; Song, Aimin; Deshayes, Kurt; Dixit, Vishva M; Carter, Paul J

    2016-02-13

    Context-independent anti-hypusine antibodies that bind to the post-translational modification (PTM), hypusine, with minimal dependence on flanking amino acid sequences, were identified. The antibodies bind to both hypusine and deoxyhypusine or selectively to hypusine but not to deoxyhypusine. Phage display was used to further enhance the affinity of the antibodies. Affinity maturation of these anti-hypusine antibodies improved their performance in affinity capture of the only currently known hypusinated protein, eukaryotic translation initiation factor 5A. These anti-hypusine antibodies may have utility in the identification of novel hypusinated proteins. Crystal structures of the corresponding Fab fragments were determined in complex with hypusine- or deoxyhypusine-containing peptides. The hypusine or deoxyhypusine moiety was found to reside in a deep pocket formed between VH and VL domains of the Fab fragments. Interaction between the antibodies and hypusine includes an extensive hydrogen bond network. These are, to our knowledge, the first reported structures of context-independent anti-PTM antibodies in complex with the corresponding PTM. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  8. Tissue Non-Specific Genes and Pathways Associated with Diabetes: An Expression Meta-Analysis.

    Science.gov (United States)

    Mei, Hao; Li, Lianna; Liu, Shijian; Jiang, Fan; Griswold, Michael; Mosley, Thomas

    2017-01-21

    We performed expression studies to identify tissue non-specific genes and pathways of diabetes by meta-analysis. We searched curated datasets of the Gene Expression Omnibus (GEO) database and identified 13 and five expression studies of diabetes and insulin responses at various tissues, respectively. We tested differential gene expression by empirical Bayes-based linear method and investigated gene set expression association by knowledge-based enrichment analysis. Meta-analysis by different methods was applied to identify tissue non-specific genes and gene sets. We also proposed pathway mapping analysis to infer functions of the identified gene sets, and correlation and independent analysis to evaluate expression association profile of genes and gene sets between studies and tissues. Our analysis showed that PGRMC1 and HADH genes were significant over diabetes studies, while IRS1 and MPST genes were significant over insulin response studies, and joint analysis showed that HADH and MPST genes were significant over all combined data sets. The pathway analysis identified six significant gene sets over all studies. The KEGG pathway mapping indicated that the significant gene sets are related to diabetes pathogenesis. The results also presented that 12.8% and 59.0% pairwise studies had significantly correlated expression association for genes and gene sets, respectively; moreover, 12.8% pairwise studies had independent expression association for genes, but no studies were observed significantly different for expression association of gene sets. Our analysis indicated that there are both tissue specific and non-specific genes and pathways associated with diabetes pathogenesis. Compared to the gene expression, pathway association tends to be tissue non-specific, and a common pathway influencing diabetes development is activated through different genes at different tissues.

  9. Association and linkage analysis of aluminum tolerance genes in maize.

    Directory of Open Access Journals (Sweden)

    Allison M Krill

    Full Text Available BACKGROUND: Aluminum (Al toxicity is a major worldwide constraint to crop productivity on acidic soils. Al becomes soluble at low pH, inhibiting root growth and severely reducing yields. Maize is an important staple food and commodity crop in acidic soil regions, especially in South America and Africa where these soils are very common. Al exclusion and intracellular tolerance have been suggested as two important mechanisms for Al tolerance in maize, but little is known about the underlying genetics. METHODOLOGY: An association panel of 282 diverse maize inbred lines and three F2 linkage populations with approximately 200 individuals each were used to study genetic variation in this complex trait. Al tolerance was measured as net root growth in nutrient solution under Al stress, which exhibited a wide range of variation between lines. Comparative and physiological genomics-based approaches were used to select 21 candidate genes for evaluation by association analysis. CONCLUSIONS: Six candidate genes had significant results from association analysis, but only four were confirmed by linkage analysis as putatively contributing to Al tolerance: Zea mays AltSB like (ZmASL, Zea mays aluminum-activated malate transporter2 (ALMT2, S-adenosyl-L-homocysteinase (SAHH, and Malic Enzyme (ME. These four candidate genes are high priority subjects for follow-up biochemical and physiological studies on the mechanisms of Al tolerance in maize. Immediately, elite haplotype-specific molecular markers can be developed for these four genes and used for efficient marker-assisted selection of superior alleles in Al tolerance maize breeding programs.

  10. Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network

    Directory of Open Access Journals (Sweden)

    Bazzicalupo Marco

    2008-12-01

    Full Text Available Abstract Background Phylogenetic methods are well-established bioinformatic tools for sequence analysis, allowing to describe the non-independencies of sequences because of their common ancestor. However, the evolutionary profiles of bacterial genes are often complicated by hidden paralogy and extensive and/or (multiple horizontal gene transfer (HGT events which make bifurcating trees often inappropriate. In this context, plasmid sequences are paradigms of network-like relationships characterizing the evolution of prokaryotes. Actually, they can be transferred among different organisms allowing the dissemination of novel functions, thus playing a pivotal role in prokaryotic evolution. However, the study of their evolutionary dynamics is complicated by the absence of universally shared genes, a prerequisite for phylogenetic analyses. Results To overcome such limitations we developed a bioinformatic package, named Blast2Network (B2N, allowing the automatic phylogenetic profiling and the visualization of homology relationships in a large number of plasmid sequences. The software was applied to the study of 47 completely sequenced plasmids coming from Escherichia, Salmonella and Shigella spps. Conclusion The tools implemented by B2N allow to describe and visualize in a new way some of the evolutionary features of plasmid molecules of Enterobacteriaceae; in particular it helped to shed some light on the complex history of Escherichia, Salmonella and Shigella plasmids and to focus on possible roles of unannotated proteins. The proposed methodology is general enough to be used for comparative genomic analyses of bacteria.

  11. [IT15 gene analysis in two pedigrees of Huntington's disease].

    Science.gov (United States)

    Zhang, Bao-Rong; Song, Fei; Yin, Xin-Zhen; Xia, Kun; Tian, Jun; Huang, Jian-Zheng; Xia, Jia-Hui

    2006-11-01

    To investigate the relationship between the clinical features and (CAG)n trinucleotide repeats in two pedigrees of Chinese Huntington's disease (HD). Clinical and neuroimaging features, the age of disease onset and pattern of transmission of the patients were studied in the two pedigrees of HD. Genomic DNA of 42 family members was used for amplification of the (CAG)n repeats of IT15 gene by PCR. The numbers of (CAG)n were determined by electrophoresis through a 6% polyacrylamide gel and direct sequence analysis. Results showed that patients in pedigree 1 were absent of the typical triad of HD symptoms or caudate atrophy. A total of 9 (5 patients and 4 asymptomatic) out of 18 family members had 40-50 (CAG)n repeats in the IT15 gene. In pedigree 2, all the patients were characterized by a triad of symptoms, including motor disturbance, cognitive impairment and psychiatric features. Three patients and two asymptomatic relatives had more than 50 (CAG)n repeats in the IT15 gene. In conclusion, the clinical symptoms are partly determined by (CAG)n repeats in the IT15 gene. The age of onset was correlated with (CAG)n repeats over 50, and the phenomenon called "anticipation" was found to have played a role.

  12. An efficient RNA interference screening strategy for gene functional analysis

    Directory of Open Access Journals (Sweden)

    Chang Chih-Hung

    2012-09-01

    Full Text Available Abstract Background RNA interference (RNAi is commonly applied in genome-scale gene functional screens. However, a one-on-one RNAi analysis that targets each gene is cost-ineffective and laborious. Previous studies have indicated that siRNAs can also affect RNAs that are near-perfectly complementary, and this phenomenon has been termed an off-target effect. This phenomenon implies that it is possible to silence several genes simultaneously with a carefully designed siRNA. Results We propose a strategy that is combined with a heuristic algorithm to design suitable siRNAs that can target multiple genes and a group testing method that would reduce the number of required RNAi experiments in a large-scale RNAi analysis. To verify the efficacy of our strategy, we used the Orchid expressed sequence tag data as a case study to screen the putative transcription factors that are involved in plant disease responses. According to our computation, 94 qualified siRNAs were sufficient to examine all of the predicated 229 transcription factors. In addition, among the 94 computer-designed siRNAs, an siRNA that targets both TF15 (a previously identified transcription factor that is involved in the plant disease-response pathway and TF21 was introduced into orchids. The experimental results showed that this siRNA can simultaneously silence TF15 and TF21, and application of our strategy successfully confirmed that TF15 is involved in plant defense responses. Interestingly, our second-round analysis, which used an siRNA specific to TF21, indicated that TF21 is a previously unidentified transcription factor that is related to plant defense responses. Conclusions Our computational results showed that it is possible to screen all genes with fewer experiments than would be required for the traditional one-on-one RNAi screening. We also verified that our strategy is capable of identifying genes that are involved in a specific phenotype.

  13. Identification of housekeeping genes suitable for gene expression analysis in the pearl mussel, Hyriopsis cumingii, during biomineralization.

    Science.gov (United States)

    Bai, Zhiyi; Lin, Jingyun; Ma, Keyi; Wang, Guiling; Niu, Donghong; Li, Jiale

    2014-08-01

    Quantitative real-time polymerase chain reaction is a sensitive technique for quantifying gene expression levels. One or more appropriate reference genes must be selected to accurately compare mRNA transcript levels across different samples and tissues. The freshwater pearl, Hyriopsis cumingii (Lea), is an important economic species cultured in China. To date, no reference genes for gene expression analysis in this species have been validated. This study aimed to compare the relative expression of seven housekeeping genes across different tissue types and in the mantle or pearl sac during three biomineralization processes: seasonal shell growth, shell healing and pearl-sac formation in H. cumingii. Three programs evaluated the expression stabilities of the seven genes: BestKeeper, geNorm and NormFinder. The beta actin gene (ACTB), commonly used as a housekeeping gene in many studies, was the least stable. The expressions of Ubiquitin (Ubi) and Ribosomal protein L18 (Rpl18) and Elongation factor 1-alpha (EF1α) were more stable than the remaining four genes. Therefore, we suggest that Ubi, Rpl18 and EF1α are suitable reference genes. The three selected reference genes are expected to facilitate analysis of gene expressions during shell or pearl formation in H. cumingii.

  14. Context and Listening Comprehension

    Institute of Scientific and Technical Information of China (English)

    Qin Yingying

    2016-01-01

    Context is very important factor that can't be ignored in speech communication. Context contributes much to understanding the meaning of words. The exact and thorough interpretation of words and utterance results from contexts. The relation is discussed between context and listening comprehension, and the functions of context are analyzed in listening. It is pointed out that the analysis of contextual clues is useful in understanding listening materials and also introduces some ways on contextual clues in listening so as to improve listening comprehension.

  15. Molecular Characterization and Expression Analysis of Equine ( Gene in Horse (

    Directory of Open Access Journals (Sweden)

    Ki-Duk Song

    2014-05-01

    Full Text Available The objective of this study was to determine the molecular characteristics of the horse vascular endothelial growth factor alpha gene (VEGFα by constructing a phylogenetic tree, and to investigate gene expression profiles in tissues and blood leukocytes after exercise for development of suitable biomarkers. Using published amino acid sequences of other vertebrate species (human, chimpanzee, mouse, rat, cow, pig, chicken and dog, we constructed a phylogenetic tree which showed that equine VEGFα belonged to the same clade of the pig VEGFα. Analysis for synonymous (Ks and non-synonymous substitution ratios (Ka revealed that the horse VEGFα underwent positive selection. RNA was extracted from blood samples before and after exercise and different tissue samples of three horses. Expression analyses using reverse transcription-polymerase chain reaction (RT-PCR and quantitative-polymerase chain reaction (qPCR showed ubiquitous expression of VEGFα mRNA in skeletal muscle, kidney, thyroid, lung, appendix, colon, spinal cord, and heart tissues. Analysis of differential expression of VEGFα gene in blood leukocytes after exercise indicated a unimodal pattern. These results will be useful in developing biomarkers that can predict the recovery capacity of racing horses.

  16. Positioning Analysis of Filipino Family Narratives in the Context of Prisoner Reintegration

    Directory of Open Access Journals (Sweden)

    Donald Jay Bertulfo

    2016-11-01

    Full Text Available Prisoner reintegration may be viewed as a crisis situation that may lead to a period of instability within the family. Existing researches in this area remain focused on the individual perspective of ex-offenders rather than the experiences of receiving families back in their households. In this study, we aim to examine the reintegration experiences of the family as a group from an initial state of chaos to equilibrium upon the reentry of an incarcerated parent. Using a sample of 12 interviews of family members left behind by incarcerated fathers, three major storylines relating to the family’s struggle for moral re-ascendancy in the context of parental reintegration are identified: othering, rehabilitation, and restoration. We explain the interlocking emotional, discursive, and material forms of labor embedded in the process of prisoner reintegration. Policy implications on social and institutional aid to the families of reintegrating fathers are also discussed.

  17. Analysis of Log File Data to Understand Mobile Service Context and Usage Patterns

    Directory of Open Access Journals (Sweden)

    Bernhard Klein

    2013-09-01

    Full Text Available Several mobile acceptance models exist today that focus on user interface handling and usage frequency evaluation. Since mobile applications reach much deeper into everyday life, it is however important to better consider user behaviour for the service evaluation. In this paper we introduce the Behaviour Assessment Model (BAM, which is designed to gaining insights about how well services enable, enhance and replace human activities. More specifically, the basic columns of the evaluation framework concentrate on (1 service actuation in relation to the current user context, (2 the balance between service usage effort and benefit, and (3 the degree to which community knowledge can be exploited. The evaluation is guided by a process model that specifies individual steps of data capturing, aggregation, and final assessment. The BAM helps to gain stronger insights regarding characteristic usage hotspots, frequent usage patterns, and leveraging of networking effects showing more realistically the strengths and weaknesses of mobile services

  18. Shadow Economy in the Context of Economic Crisis: Circumstance Analysis and the Forecasting of Consequences

    Directory of Open Access Journals (Sweden)

    Alexey Sergeyevich Naidenov

    2013-03-01

    Full Text Available The article is devoted to the problem of estimating dynamic of shadow economy in the context of socio-economic crisis negative influence. Factors and threats supporting the increase of shadow economy during the economic crisis were studied. Current situation in the Ural Federal District with regard to shadow economic activity for the period from 2006 to 2012 was represented. The results of forecasting shadow activity were given in the article on the example of Ural Federal District regions. Data obtained was used for developing target program activities, aimed at minimization of negative influence of shadow economy during the economic crisis. Special attention was given to the problem of improving the effectiveness of international cooperation concerning counteraction of shadow economic activity

  19. κMicroarray analysis of relative gene expression stability for selection of internal reference genes in the rhesus macaque brain

    Directory of Open Access Journals (Sweden)

    Urbanski Henryk F

    2010-06-01

    Full Text Available Abstract Background Normalization of gene expression data refers to the comparison of expression values using reference standards that are consistent across all conditions of an experiment. In PCR studies, genes designated as "housekeeping genes" have been used as internal reference genes under the assumption that their expression is stable and independent of experimental conditions. However, verification of this assumption is rarely performed. Here we assess the use of gene microarray analysis to facilitate selection of internal reference sequences with higher expression stability across experimental conditions than can be expected using traditional selection methods. We recently demonstrated that relative gene expression from qRT-PCR data normalized using GAPDH, ALG9 and RPL13A expression values mirrored relative expression using quantile normalization in Robust Multichip Analysis (RMA on the Affymetrix® GeneChip® rhesus Macaque Genome Array. Having shown that qRT-PCR and Affymetrix® GeneChip® data from the same hormone replacement therapy (HRT study yielded concordant results, we used quantile-normalized gene microarray data to identify the most stably expressed among probe sets for prospective internal reference genes across three brain regions from the HRT study and an additional study of normally menstruating rhesus macaques (cycle study. Gene selection was limited to 575 previously published human "housekeeping" genes. Twelve animals were used per study, and three brain regions were analyzed from each animal. Gene expression stabilities were determined using geNorm, NormFinder and BestKeeper software packages. Results Sequences co-annotated for ribosomal protein S27a (RPS27A, and ubiquitin were among the most stably expressed under all conditions and selection criteria used for both studies. Higher annotation quality on the human GeneChip® facilitated more targeted analysis than could be accomplished using the rhesus GeneChip®. In

  20. An Analysis of the Consumer Demand Structure of Rural Residents in Chongqing City in the Context of New Urbanization

    Institute of Scientific and Technical Information of China (English)

    Xiaomin; JIA

    2015-01-01

    Using ELES model and econometric methods,in the context of new urbanization,we use the time series data on the consumer spending of rural residents in Chongqing City to perform an empirical analysis of the consumer demand structure of rural residents,reveal the characteristics,differences and changes concerning the consumption structure of rural residents in Chongqing City,and set forth some policy recommendations such as carrying out the new rural construction,optimizing the consumption structure,establishing sound social security system and income growth mechanism,and stabilizing the price level.

  1. Genre analysis and task-based course design for isiXhosa second language teaching in local government contexts

    Directory of Open Access Journals (Sweden)

    Edith Venter

    2011-08-01

    Full Text Available The successful implementation of a multilingual language policy in the public and private sectors in South Africa depends on vibrant research. This article explores the design and nature of the isiXhosa communication tasks for specific purposes second language teaching in local government context, within a framework of genre-based and task-based approaches to language teaching. These two approaches also form the theoretical basis of the analysis of the rhetorical move structure and the task types of selected communication tasks.

  2. A comparative analysis of biclustering algorithms for gene expression data.

    Science.gov (United States)

    Eren, Kemal; Deveci, Mehmet; Küçüktunç, Onur; Çatalyürek, Ümit V

    2013-05-01

    The need to analyze high-dimension biological data is driving the development of new data mining methods. Biclustering algorithms have been successfully applied to gene expression data to discover local patterns, in which a subset of genes exhibit similar expression levels over a subset of conditions. However, it is not clear which algorithms are best suited for this task. Many algorithms have been published in the past decade, most of which have been compared only to a small number of algorithms. Surveys and comparisons exist in the literature, but because of the large number and variety of biclustering algorithms, they are quickly outdated. In this article we partially address this problem of evaluating the strengths and weaknesses of existing biclustering methods. We used the BiBench package to compare 12 algorithms, many of which were recently published or have not been extensively studied. The algorithms were tested on a suite of synthetic data sets to measure their performance on data with varying conditions, such as different bicluster models, varying noise, varying numbers of biclusters and overlapping biclusters. The algorithms were also tested on eight large gene expression data sets obtained from the Gene Expression Omnibus. Gene Ontology enrichment analysis was performed on the resulting biclusters, and the best enrichment terms are reported. Our analyses show that the biclustering method and its parameters should be selected based on the desired model, whether that model allows overlapping biclusters, and its robustness to noise. In addition, we observe that the biclustering algorithms capable of finding more than one model are more successful at capturing biologically relevant clusters.

  3. Analysis of deterministic cyclic gene regulatory network models with delays

    CERN Document Server

    Ahsen, Mehmet Eren; Niculescu, Silviu-Iulian

    2015-01-01

    This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.

  4. GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms

    Directory of Open Access Journals (Sweden)

    Argraves W Scott

    2010-04-01

    Full Text Available Abstract Background An important objective of DNA microarray-based gene expression experimentation is determining inter-relationships that exist between differentially expressed genes and biological processes, molecular functions, cellular components, signaling pathways, physiologic processes and diseases. Results Here we describe GeneMesh, a web-based program that facilitates analysis of DNA microarray gene expression data. GeneMesh relates genes in a query set to categories available in the Medical Subject Headings (MeSH hierarchical index. The interface enables hypothesis driven relational analysis to a specific MeSH subcategory (e.g., Cardiovascular System, Genetic Processes, Immune System Diseases etc. or unbiased relational analysis to broader MeSH categories (e.g., Anatomy, Biological Sciences, Disease etc.. Genes found associated with a given MeSH category are dynamically linked to facilitate tabular and graphical depiction of Entrez Gene information, Gene Ontology information, KEGG metabolic pathway diagrams and intermolecular interaction information. Expression intensity values of groups of genes that cluster in relation to a given MeSH category, gene ontology or pathway can be displayed as heat maps of Z score-normalized values. GeneMesh operates on gene expression data derived from a number of commercial microarray platforms including Affymetrix, Agilent and Illumina. Conclusions GeneMesh is a versatile web-based tool for testing and developing new hypotheses through relating genes in a query set (e.g., differentially expressed genes from a DNA microarray experiment to descriptors making up the hierarchical structure of the National Library of Medicine controlled vocabulary thesaurus, MeSH. The system further enhances the discovery process by providing links between sets of genes associated with a given MeSH category to a rich set of html linked tabular and graphic information including Entrez Gene summaries, gene ontologies

  5. NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data.

    Science.gov (United States)

    Xia, Jianguo; Gill, Erin E; Hancock, Robert E W

    2015-06-01

    Meta-analysis of gene expression data sets is increasingly performed to help identify robust molecular signatures and to gain insights into underlying biological processes. The complicated nature of such analyses requires both advanced statistics and innovative visualization strategies to support efficient data comparison, interpretation and hypothesis generation. NetworkAnalyst (http://www.networkanalyst.ca) is a comprehensive web-based tool designed to allow bench researchers to perform various common and complex meta-analyses of gene expression data via an intuitive web interface. By coupling well-established statistical procedures with state-of-the-art data visualization techniques, NetworkAnalyst allows researchers to easily navigate large complex gene expression data sets to determine important features, patterns, functions and connections, thus leading to the generation of new biological hypotheses. This protocol provides a step-wise description of how to effectively use NetworkAnalyst to perform network analysis and visualization from gene lists; to perform meta-analysis on gene expression data while taking into account multiple metadata parameters; and, finally, to perform a meta-analysis of multiple gene expression data sets. NetworkAnalyst is designed to be accessible to biologists rather than to specialist bioinformaticians. The complete protocol can be executed in ∼1.5 h. Compared with other similar web-based tools, NetworkAnalyst offers a unique visual analytics experience that enables data analysis within the context of protein-protein interaction networks, heatmaps or chord diagrams. All of these analysis methods provide the user with supporting statistical and functional evidence.

  6. Molecular analysis of Rv0679c and Rv0180c genes of Mycobacterium tuberculosis from clinical isolates of pulmonary tuberculosis

    Directory of Open Access Journals (Sweden)

    L Rupa

    2016-01-01

    Full Text Available Context: Two novel proteins/genes Rv0679c and Rv0180c of Mycobacterium tuberculosis (MTB H37Rv were classified as a hypothetical membrane and transmembrane proteins which might have a role in the invasion. Molecular analysis of these genes in human clinical isolates of pulmonary tuberculosis (PTB patients was not well characterised. Aims: To assess the molecular diversity of Rv0679c and Rv0180c genes of MTB from clinical isolates of PTB patients. Settings and Design: DNA from 97 clinical isolates was extracted and subjected to amplification using selective primers by polymerase chain reaction (PCR. The PCR product obtained was sequenced commercially. Patients and Methods: Clinical isolates obtained from tuberculosis patients were investigated for polymorphisms in the Rv0679c and Rv0180c genes by PCR and DNA sequencing. Genomic DNA isolated by cetyltrimethylammonium bromide method was used for amplification of genes. Results: Rv0679c gene was highly conserved in 61 out of 65 clinical isolates assessed for sequence homology with wild-type H37Rv gene and was identical using ClustalW. Fifty-five out of 78 (70.5% clinical isolates assessed for Rv0180c were positive for single nucleotide polymorphism (SNP at 258th position where the nucleotide G was replaced with T (G to T. In clinical isolates of untreated cases, the frequency was 54.5% for SNP at 258th position which is low compared to cases undergoing treatment where the frequency was 73.1%. Conclusions: Molecular analysis of Rv0180c in clinical isolates of PTB assessed in this study was the first report, where an SNP at 258th position G to T was identified within the gene. Rv0679c gene was highly conserved (94%, within Indian clinical isolates as compared to reports from other nations.

  7. Critical Analysis of Textbooks: Knowledge-Generating Logics and the Emerging Image of "Global Economic Contexts"

    Science.gov (United States)

    Thoma, Michael

    2017-01-01

    This paper presents an approach to the critical analysis of textbook knowledge, which, working from a discourse theory perspective (based on the work of Foucault), refers to the performative nature of language. The critical potential of the approach derives from an analysis of knowledge-generating logics, which produce particular images of reality…

  8. Critical Analysis of Textbooks: Knowledge-Generating Logics and the Emerging Image of "Global Economic Contexts"

    Science.gov (United States)

    Thoma, Michael

    2017-01-01

    This paper presents an approach to the critical analysis of textbook knowledge, which, working from a discourse theory perspective (based on the work of Foucault), refers to the performative nature of language. The critical potential of the approach derives from an analysis of knowledge-generating logics, which produce particular images of reality…

  9. Visual Analysis of Social Networks in a Counter-Insurgency Context

    Science.gov (United States)

    2011-06-01

    networks analysis & sensemakingHUMINT IMINT GEOINT SIGINT ELINT MASINT COMINT OSINT TECHINT FISINT FININT SNA Intelligence products External  Sources...networks analysis & sensemaking HUMINT IMINT GEOINT SIGINT ELINT MASINT COMINT OSINT TECHINT FISINT FININT SNA Intelligence products External Sources SNAC

  10. Carotenoid biosynthetic genes in Brassica rapa: comparative genomic analysis, phylogenetic analysis, and expression profiling

    OpenAIRE

    Li, Peirong; Zhang, Shujiang; Zhang, Shifan; Li, Fei; Zhang, Hui; Cheng, Feng; Wu, Jian; Wang, Xiaowu; Sun, Rifei

    2015-01-01

    Background Carotenoids are isoprenoid compounds synthesized by all photosynthetic organisms. Despite much research on carotenoid biosynthesis in the model plant Arabidopsis thaliana, there is a lack of information on the carotenoid pathway in Brassica rapa. To better understand its carotenoid biosynthetic pathway, we performed a systematic analysis of carotenoid biosynthetic genes at the genome level in B. rapa. Results We identified 67 carotenoid biosynthetic genes in B. rapa, which were ort...

  11. Large Scale Gene Expression Meta-Analysis Reveals Tissue-Specific, Sex-Biased Gene Expression in Humans

    Science.gov (United States)

    Mayne, Benjamin T.; Bianco-Miotto, Tina; Buckberry, Sam; Breen, James; Clifton, Vicki; Shoubridge, Cheryl; Roberts, Claire T.

    2016-01-01

    The severity and prevalence of many diseases are known to differ between the sexes. Organ specific sex-biased gene expression may underpin these and other sexually dimorphic traits. To further our understanding of sex differences in transcriptional regulation, we performed meta-analyses of sex biased gene expression in multiple human tissues. We analyzed 22 publicly available human gene expression microarray data sets including over 2500 samples from 15 different tissues and 9 different organs. Briefly, by using an inverse-variance method we determined the effect size difference of gene expression between males and females. We found the greatest sex differences in gene expression in the brain, specifically in the anterior cingulate cortex, (1818 genes), followed by the heart (375 genes), kidney (224 genes), colon (218 genes), and thyroid (163 genes). More interestingly, we found different parts of the brain with varying numbers and identity of sex-biased genes, indicating that specific cortical regions may influence sexually dimorphic traits. The majority of sex-biased genes in other tissues such as the bladder, liver, lungs, and pancreas were on the sex chromosomes or involved in sex hormone production. On average in each tissue, 32% of autosomal genes that were expressed in a sex-biased fashion contained androgen or estrogen hormone response elements. Interestingly, across all tissues, we found approximately two-thirds of autosomal genes that were sex-biased were not under direct influence of sex hormones. To our knowledge this is the largest analysis of sex-biased gene expression in human tissues to date. We identified many sex-biased genes that were not under the direct influence of sex chromosome genes or sex hormones. These may provide targets for future development of sex-specific treatments for diseases.

  12. Large scale gene expression meta-analysis reveals tissue-specific, sex-biased gene expression in humans

    Directory of Open Access Journals (Sweden)

    Benjamin Mayne

    2016-10-01

    Full Text Available The severity and prevalence of many diseases are known to differ between the sexes. Organ specific sex-biased gene expression may underpin these and other sexually dimorphic traits. To further our understanding of sex differences in transcriptional regulation, we performed meta-analyses of sex biased gene expression in multiple human tissues. We analysed 22 publicly available human gene expression microarray data sets including over 2500 samples from 15 different tissues and 9 different organs. Briefly, by using an inverse-variance method we determined the effect size difference of gene expression between males and females. We found the greatest sex differences in gene expression in the brain, specifically in the anterior cingulate cortex, (1818 genes, followed by the heart (375 genes, kidney (224 genes, colon (218 genes and thyroid (163 genes. More interestingly, we found different parts of the brain with varying numbers and identity of sex-biased genes, indicating that specific cortical regions may influence sexually dimorphic traits. The majority of sex-biased genes in other tissues such as the bladder, liver, lungs and pancreas were on the sex chromosomes or involved in sex hormone production. On average in each tissue, 32% of autosomal genes that were expressed in a sex-biased fashion contained androgen or estrogen hormone response elements. Interestingly, across all tissues, we found approximately two-thirds of autosomal genes that were sex-biased were not under direct influence of sex hormones. To our knowledge this is the largest analysis of sex-biased gene expression in human tissues to date. We identified many sex-biased genes that were not under the direct influence of sex chromosome genes or sex hormones. These may provide targets for future development of sex-specific treatments for diseases.

  13. CONSIDERATIONS FOR OPTIMIZING MICROBIOME ANALYSIS USING A MARKER GENE

    Directory of Open Access Journals (Sweden)

    Jacobo de la Cuesta-Zuluaga

    2016-08-01

    Full Text Available Next generation sequencing technologies have found a widespread use in the study of host–microbe interactions due to the increase in their throughput and their ever-decreasing costs. The analysis of human-associated microbial communities using a marker gene, particularly the 16S rRNA, has greatly benefited from these technologies, the human gut microbiome research being a remarkable example of such analysis that has greatly expanded our understanding of microbe-mediated human health and disease, metabolism and food absorption. 16S studies go through a series of in vitro and in silico steps that can greatly influence their outcomes. However, the lack of a standardized workflow has led to uncertainties regarding the transparency and reproducibility of gut microbiome studies. We here discuss the most common challenges in the archetypical 16S rRNA workflow, including the extraction of total DNA, its use as template in PCR with primers that amplify specific hypervariable regions of the gene, amplicon sequencing, the denoising and removal of low quality reads, the detection and removal of chimeric sequences, the clustering of high-quality sequences into operational taxonomic units (OTUs and their taxonomic classification. We recommend the essential technical information that should be conveyed in publications for reproducibility of results and encourage non-experts to include procedures and available tools that mitigate most of the problems encountered in microbiome analysis.

  14. Transcript analysis of 250 novel yeast genes from chromosome XIV.

    Science.gov (United States)

    Planta, R J; Brown, A J; Cadahia, J L; Cerdan, M E; de Jonge, M; Gent, M E; Hayes, A; Kolen, C P; Lombardia, L J; Sefton, M; Oliver, S G; Thevelein, J; Tournu, H; van Delft, Y J; Verbart, D J; Winderickx, J

    1999-03-15

    The European Functional Analysis Network (EUROFAN) is systematically analysing the function of novel Saccharomyces cerevisiae genes revealed by genome sequencing. As part of this effort our consortium has performed a detailed transcript analysis for 250 novel ORFs on chromosome XIV. All transcripts were quantified by Northern analysis under three quasi-steady-state conditions (exponential growth on rich fermentative, rich non-fermentative, and minimal fermentative media) and eight transient conditions (glucose derepression, glucose upshift, stationary phase, nitrogen starvation, osmo-stress, heat-shock, and two control conditions). Transcripts were detected for 82% of the 250 ORFs, and only one ORF did not yield a transcript of the expected length (YNL285w). Transcripts ranged from low (62%), moderate (16%) to high abundance (2%) relative to the ACT1 mRNA. The levels of 73% of the 206 chromosome XIV transcripts detected fluctuated in response to the transient states tested. However, only a small number responded strongly to the transients: eight ORFs were induced upon glucose upshift; five were repressed by glucose; six were induced in response to nitrogen starvation; three were induced in stationary phase; five were induced by osmo-stress; four were induced by heat-shock. These data provide useful clues about the general function of these ORFs and add to our understanding of gene regulation on a genome-wide basis.

  15. Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data

    Science.gov (United States)

    2011-01-01

    Background Gene expression microarray data have been organized and made available as public databases, but the utilization of such highly heterogeneous reference datasets in the interpretation of data from individual test samples is not as developed as e.g. in the field of nucleotide sequence comparisons. We have created a rapid and powerful approach for the alignment of microarray gene expression profiles (AGEP) from test samples with those contained in a large annotated public reference database and demonstrate here how this can facilitate interpretation of microarray data from individual samples. Methods AGEP is based on the calculation of kernel density distributions for the levels of expression of each gene in each reference tissue type and provides a quantitation of the similarity between the test sample and the reference tissue types as well as the identity of the typical and atypical genes in each comparison. As a reference database, we used 1654 samples from 44 normal tissues (extracted from the Genesapiens database). Results Using leave-one-out validation, AGEP correctly defined the tissue of origin for 1521 (93.6%) of all the 1654 samples in the original database. Independent validation of 195 external normal tissue samples resulted in 87% accuracy for the exact tissue type and 97% accuracy with related tissue types. AGEP analysis of 10 Duchenne muscular dystrophy (DMD) samples provided quantitative description of the key pathogenetic events, such as the extent of inflammation, in individual samples and pinpointed tissue-specific genes whose expression changed (SAMD4A) in DMD. AGEP analysis of microarray data from adipocytic differentiation of mesenchymal stem cells and from normal myeloid cell types and leukemias provided quantitative characterization of the transcriptomic changes during normal and abnormal cell differentiation. Conclusions The AGEP method is a widely applicable method for the rapid comprehensive interpretation of microarray data, as

  16. Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis

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    Mario Flores

    2013-01-01

    Full Text Available Common microarray and next-generation sequencing data analysis concentrate on tumor subtype classification, marker detection, and transcriptional regulation discovery during biological processes by exploring the correlated gene expression patterns and their shared functions. Genetic regulatory network (GRN based approaches have been employed in many large studies in order to scrutinize for dysregulation and potential treatment controls. In addition to gene regulation and network construction, the concept of the network modulator that has significant systemic impact has been proposed, and detection algorithms have been developed in past years. Here we provide a unified mathematic description of these methods, followed with a brief survey of these modulator identification algorithms. As an early attempt to extend the concept to new RNA regulation mechanism, competitive endogenous RNA (ceRNA, into a modulator framework, we provide two applications to illustrate the network construction, modulation effect, and the preliminary finding from these networks. Those methods we surveyed and developed are used to dissect the regulated network under different modulators. Not limit to these, the concept of “modulation” can adapt to various biological mechanisms to discover the novel gene regulation mechanisms.

  17. A dyadic analysis of relationships and health: does couple-level context condition partner effects?

    Science.gov (United States)

    Barr, Ashley B; Simons, Ronald L

    2014-08-01

    Adding to the growing literature explicating the links between romantic relationships and health, this study examined how both couple-level characteristics, particularly union type (e.g., dating, cohabiting, or marriage) and interracial pairing, and interpersonal characteristics (e.g., partner strain and support), predicted young adults' physical and mental health. Using dyadic data from a sample of 249 young, primarily Black couples, we hypothesized and found support for the importance of couple-level context, partner behavior, and their interaction in predicting health. Interracial couples (all Black/non-Black pairings) reported worse health than monoracial Black couples. Union type, however, did not directly predict health but was a significant moderator of partner strain. That is, the negative association between partner strain and self-reported health was stronger for cohabiting and married couples versus their dating counterparts, suggesting that coresidence, more so than marital status, may be important for understanding partner effects on physical health. For psychological distress, however, partner support proved equally beneficial across union types.

  18. Analysis of Different Methods for Computing Source Energy in the Context of Zero Energy Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Torcellini, Paul A.; Bonnema, Eric; Goldwasser, David; Pless, Shanti

    2016-08-26

    Building energy consumption can only be measured at the site or at the point of utility interconnection with a building. Often, to evaluate the total energy impact, this site-based energy consumption is translated into source energy, that is, the energy at the point of fuel extraction. Consistent with this approach, the U.S. Department of Energy's (DOE) definition of zero energy buildings uses source energy as the metric to account for energy losses from the extraction, transformation, and delivery of energy. Other organizations, as well, use source energy to characterize the energy impacts. Four methods of making the conversion from site energy to source energy were investigated in the context of the DOE definition of zero energy buildings. These methods were evaluated based on three guiding principles--improve energy efficiency, reduce and stabilize power demand, and use power from nonrenewable energy sources as efficiently as possible. This study examines relative trends between strategies as they are implemented on very low-energy buildings to achieve zero energy. A typical office building was modeled and variations to this model performed. The photovoltaic output that was required to create a zero energy building was calculated. Trends were examined with these variations to study the impacts of the calculation method on the building's ability to achieve zero energy status. The paper will highlight the different methods and give conclusions on the advantages and disadvantages of the methods studied.

  19. Bullying prevalence across contexts: a meta-analysis measuring cyber and traditional bullying.

    Science.gov (United States)

    Modecki, Kathryn L; Minchin, Jeannie; Harbaugh, Allen G; Guerra, Nancy G; Runions, Kevin C

    2014-11-01

    Bullying involvement in any form can have lasting physical and emotional consequences for adolescents. For programs and policies to best safeguard youth, it is important to understand prevalence of bullying across cyber and traditional contexts. We conducted a thorough review of the literature and identified 80 studies that reported corresponding prevalence rates for cyber and traditional bullying and/or aggression in adolescents. Weighted mean effect sizes were calculated, and measurement features were entered as moderators to explain variation in prevalence rates and in traditional-cyber correlations within the sample of studies. Prevalence rates for cyber bullying were lower than for traditional bullying, and cyber and traditional bullying were highly correlated. A number of measurement features moderated variability in bullying prevalence; whereas a focus on traditional relational aggression increased correlations between cyber and traditional aggressions. In our meta-analytic review, traditional bullying was twice as common as cyber bullying. Cyber and traditional bullying were also highly correlated, suggesting that polyaggression involvement should be a primary target for interventions and policy. Results of moderation analyses highlight the need for greater consensus in measurement approaches for both cyber and traditional bullying. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  20. Comparative Analysis on Romanian Taxation in the European Context, as a Prerequisite for Tax Harmonization

    Directory of Open Access Journals (Sweden)

    Georgeta Dragomir

    2011-08-01

    Full Text Available The issue of tax harmonization at EU level is becoming more present in the global crisis context, as it is both accepted and disputed by the European officials that manifest their preference for either coordination or tax competition. The crisis has generated, among other things, large budget deficits and a dangerous crisis of debts in the euro area, a situation that has attracted many followers in terms of tax harmonization. There is a European regulated Area, a unique European market, European unique currency and common monetary policy which regard the criteria relating to public finances (budget deficits, public debt. We ask ourselves to what extent it is necessary to achieve coordination or even tax unification and how does that help. This paper examines, according to the statistical database, the level and type of taxation, on categories of taxes and as a share of GDP, in Romania compared to EU countries, in order to clarify the current situation, the existing differences, the prospect of good European practice. If we speak of tax harmonization in terms of being acquired by Romania, the conclusion is that we can not report only to the technical or quantifiable aspects, as compared with the best results in European area, because they do not represent a guarantee of similar results. The fiscal policy must be both a prerequisite and a consequence of sustainable economic and financial policies, and the tax harmonization can only help insofar as it relates to the relationships between states and not at the tax level.

  1. Design, Measurement and Analysis of a Knowledge Management Model in the Context of a Mexican University

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    Gibrán Rivera

    2015-12-01

    Full Text Available The paper aims to design and apply a Knowledge Management (KM model within the context of a Higher Education (HE institution in Mexico. The model is composed of six enablers: leadership, culture, structure, human resources, information technologies and measurement, which facilitate the processes of knowledge creation, storage, transfer and application. A 53-question survey applied to thirty-six (36 people allowed to evaluate the degree of development and implementation of knowledge enablers and processes. Objectivity, reliability and overall model fit were assessed. The application of the Model serves to highlight the core role that cultural, human and structural aspects play in Knowledge Management processes. Whereas Information Technologies are the least influential to Knowledge Management processes. This paper was limited to examine the perceptions of the Board of Directors of a single university. It is yet to be tested in other institutions. Moreover, the resulting model can be used as an assessment tool in Higher Education Institutions to identify the key elements during a KM initiative as well as to define actions to obtain the greatest benefits from these initiatives.

  2. Rapid analysis of colipase gene variants by multicapillary electrophoresis.

    Science.gov (United States)

    Jaczó, Zsuzsanna; Pál, Eszter; Dénes, Réka; Somogyi, Anikó; Sasvári-Székely, Mária; Guttman, András; Rónai, Zsolt

    2015-06-01

    Despite of the fact that the Human Genome Project was completed more than a decade ago, identification of the genetic background of polygenic diseases is still challenging. Several somewhat different approaches are available to investigate inheritable factors of complex phenotypes, all require, however efficient, high-throughput techniques for SNP genotyping. In this paper, we report a robust and reliable multiplex PCR-RFLP for genotype and haplotype analysis of six SNPs (rs41270082, rs3748051, rs142027015, rs3748048, rs73404011, and rs72925892) of the colipase (CLPS) gene. A multicapillary (12 capillaries) electrophoresis unit was used for high throughput and sensitive analysis of the digestion fragments. A Microsoft Excel-based spreadsheet was designed for the flexible visualization and evaluation of the electrophoretic separations, which is readily adaptable for any kind of electrophoresis application. Haplotype analysis of the two loci localized in close proximity of each other was carried out by molecular method, extended haplotypes including all five SNPs in the 5' upstream region were calculated. The techniques were applied in a case-control association study of type 2 diabetes mellitus. Although, single marker analysis did not reveal any significant association, it was observed that the rare GGCCG haplotype of the five 5' upstream region SNPs was about three times more frequent among patients compared to healthy control population. Our results demonstrated the applicability of multicapillary CGE in large-scale, high-throughput SNP analysis, and suggested that the CLPS gene polymorphisms might be considered as genetic risk factor for type 2 diabetes mellitus.

  3. Importance of rare gene copy number alterations for personalized tumor characterization and survival analysis.

    Science.gov (United States)

    Seifert, Michael; Friedrich, Betty; Beyer, Andreas

    2016-10-03

    It has proven exceedingly difficult to ascertain rare copy number alterations (CNAs) that may have strong effects in individual tumors. We show that a regulatory network inferred from gene expression and gene copy number data of 768 human cancer cell lines can be used to quantify the impact of patient-specific CNAs on survival signature genes. A focused analysis of tumors from six tissues reveals that rare patient-specific gene CNAs often have stronger effects on signature genes than frequent gene CNAs. Further comparison to a related network-based approach shows that the integration of indirectly acting gene CNAs significantly improves the survival analysis.

  4. Analysis of context dependence in social interaction networks of a massively multiplayer online role-playing game.

    Science.gov (United States)

    Son, Seokshin; Kang, Ah Reum; Kim, Hyun-chul; Kwon, Taekyoung; Park, Juyong; Kim, Huy Kang

    2012-01-01

    Rapid advances in modern computing and information technology have enabled millions of people to interact online via various social network and gaming services. The widespread adoption of such online services have made possible analysis of large-scale archival data containing detailed human interactions, presenting a very promising opportunity to understand the rich and complex human behavior. In collaboration with a leading global provider of Massively Multiplayer Online Role-Playing Games (MMORPGs), here we present a network science-based analysis of the interplay between distinct types of user interaction networks in the virtual world. We find that their properties depend critically on the nature of the context-interdependence of the interactions, highlighting the complex and multilayered nature of human interactions, a robust understanding of which we believe may prove instrumental in the designing of more realistic future virtual arenas as well as provide novel insights to the science of collective human behavior.

  5. Process improvement with impact in the operational efficiency: a study in the context of a clinical analysis laboratory

    Directory of Open Access Journals (Sweden)

    Gabriel Sperandio Milan

    2012-11-01

    Full Text Available In an environment of constant change and intense competition, characterized by increasing demands in terms of speed, quality, low cost, flexibility and customer satisfaction, the success of a healthcare organization is its ability to respond appropriately to these requirements by means innovations in its services and processes. In this context, the central objective of the study is identifying an alternative to qualify the Clinical Analysis Laboratory operation from its internal processes. For this, the paper uses process mapping as a basis for analysis and proposition. Therefore, we analyzed the macro process of the Laboratory and identified opportunities for improvement. Moreover, it was proposed the restructuring of the macro process analyzed, presenting the resources needed to implement the proposal as well as the performance indicators and their targets.

  6. Gene set based integrated data analysis reveals phenotypic differences in a brain cancer model.

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    Kjell Petersen

    Full Text Available A key challenge in the data analysis of biological high-throughput experiments is to handle the often low number of samples in the experiments compared to the number of biomolecules that are simultaneously measured. Combining experimental data using independent technologies to illuminate the same biological trends, as well as complementing each other in a larger perspective, is one natural way to overcome this challenge. In this work we investigated if integrating proteomics and transcriptomics data from a brain cancer animal model using gene set based analysis methodology, could enhance the biological interpretation of the data relative to more traditional analysis of the two datasets individually. The brain cancer model used is based on serial passaging of transplanted human brain tumor material (glioblastoma--GBM through several generations in rats. These serial transplantations lead over time to genotypic and phenotypic changes in the tumors and represent a medically relevant model with a rare access to samples and where consequent analyses of individual datasets have revealed relatively few significant findings on their own. We found that the integrated analysis both performed better in terms of significance measure of its findings compared to individual analyses, as well as providing independent verification of the individual results. Thus a better context for overall biological interpretation of the data can be achieved.

  7. Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression

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    Melo Francisco

    2006-11-01

    Full Text Available Abstract Background In this study, we present a robust and reliable computational method for tag-to-gene assignment in serial analysis of gene expression (SAGE. The method relies on current genome information and annotation, incorporation of several new features, and key improvements over alternative methods, all of which are important to determine gene expression levels more accurately. The method provides a complete annotation of potential virtual SAGE tags within a genome, along with an estimation of their confidence for experimental observation that ranks tags that present multiple matches in the genome. Results We applied this method to the Saccharomyces cerevisiae genome, producing the most thorough and accurate annotation of potential virtual SAGE tags that is available today for this organism. The usefulness of this method is exemplified by the significant reduction of ambiguous cases in existing experimental SAGE data. In addition, we report new insights from the analysis of existing SAGE data. First, we found that experimental SAGE tags mapping onto introns, intron-exon boundaries, and non-coding RNA elements are observed in all available SAGE data. Second, a significant fraction of experimental SAGE tags was found to map onto genomic regions currently annotated as intergenic. Third, a significant number of existing experimental SAGE tags for yeast has been derived from truncated cDNAs, which are synthesized through oligo-d(T priming to internal poly-(A regions during reverse transcription. Conclusion We conclude that an accurate and unambiguous tag mapping process is essential to increase the quality and the amount of information that can be extracted from SAGE experiments. This is supported by the results obtained here and also by the large impact that the erroneous interpretation of these data could have on downstream applications.

  8. Acquired resistance of pancreatic cancer cells to cisplatin is multifactorial with cell context-dependent involvement of resistance genes

    Science.gov (United States)

    Mezencev, R; Matyunina, L V; Wagner, G T; McDonald, J F

    2016-01-01

    Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal of malignancies, in large measure, due to the propensity of PDAC cells to acquire resistance to chemotherapeutic agents. A better understanding of the molecular basis of acquired resistance is a major focus of contemporary PDAC research. We report here the results of a study to independently develop cisplatin resistance in two distinct parental PDAC cell lines, AsPC1 and BxPC3, and to subsequently examine the molecular mechanisms associated with the acquired resistance. Cisplatin resistance in both resistant cell lines was found to be multifactorial and to be associated with mechanisms related to drug transport, drug inactivation, DNA damage response, DNA repair and the modulation of apoptosis. Our results demonstrate that the two resistant cell lines employed alternative molecular strategies in acquiring resistance dictated, in part, by pre-existing molecular differences between the parental cell lines. Collectively, our findings indicate that strategies to inhibit or reverse acquired resistance of PDAC cells to cisplatin, and perhaps other chemotherapeutic agents, may not be generalized but will require individual molecular profiling and analysis to be effective. PMID:27910856

  9. Conditional promoters for analysis of essential genes in Zymoseptoria tritici.

    Science.gov (United States)

    Kilaru, S; Ma, W; Schuster, M; Courbot, M; Steinberg, G

    2015-06-01

    Development of new fungicides, needed for sustainable control of fungal plant pathogens, requires identification of novel anti-fungal targets. Essential fungal-specific proteins are good candidates, but due to their importance, gene deletion mutants are not viable. Consequently, their cellular role often remains elusive. This hindrance can be overcome by the use of conditional mutants, where expression is controlled by an inducible/repressible promoter. Here, we introduce 5 inducible/repressible promoter systems to study essential genes in the wheat pathogen Zymoseptoria tritici. We fused the gene for enhanced green-fluorescent protein (egfp) to the promoter region of Z. tritici nitrate reductase (Pnar1; induced by nitrogen and repressed by ammonium), 1,4-β-endoxylanase A (Pex1A; induced by xylose and repressed by maltodextrin), l-arabinofuranosidase B (PlaraB; induced by arabinose and repressed by glucose), galactose-1-phosphate uridylyltransferase 7 (Pgal7; induced by galactose and repressed by glucose) and isocitrate lyase (Picl1; induced by sodium acetate and repressed by glucose). This was followed by quantitative analysis of cytoplasmic reporter fluorescence under induced and repressed conditions. We show that Pnar1, PlaraB and Pex1A drive very little or no egfp expression when repressed, but induce moderate protein production when induced. In contrast, Pgal7 and Picl1 show considerable egfp expression when repressed, and were strongly induced in the presence of their inducers. Normalising the expression levels of all promoters to that of the α-tubulin promoter Ptub2 revealed that PlaraB was the weakest promoter (∼20% of Ptub2), whereas Picl1 strongly expressed the reporter (∼250% of Ptub2). The use of these tools promises a better understanding of essential genes, which will help developing novel control strategies that protect wheat from Z. tritici.

  10. Canonical correlation analysis for gene-based pleiotropy discovery.

    Directory of Open Access Journals (Sweden)

    Jose A Seoane

    2014-10-01

    Full Text Available Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy and for testing multiple variants for association with a single phenotype (gene-based association tests. Such approaches can increase statistical power by combining evidence for association over multiple phenotypes or genetic variants respectively. Canonical Correlation Analysis (CCA measures the correlation between two sets of multidimensional variables, and thus offers the potential to combine these two approaches. To apply CCA, we must restrict the number of attributes relative to the number of samples. Hence we consider modules of genetic variation that can comprise a gene, a pathway or another biologically relevant grouping, and/or a set of phenotypes. In order to do this, we use an attribute selection strategy based on a binary genetic algorithm. Applied to a UK-based prospective cohort study of 4286 women (the British Women's Heart and Health Study, we find improved statistical power in the detection of previously reported genetic associations, and identify a number of novel pleiotropic associations between genetic variants and phenotypes. New discoveries include gene-based association of NSF with triglyceride levels and several genes (ACSM3, ERI2, IL18RAP, IL23RAP and NRG1 with left ventricular hypertrophy phenotypes. In multiple-phenotype analyses we find association of NRG1 with left ventricular hypertrophy phenotypes, fibrinogen and urea and pleiotropic relationships of F7 and F10 with Factor VII, Factor IX and cholesterol levels.

  11. RADIOCESIUM, BIOINDICATVE AND GEOSPATIAL ANALYSIS IN THE STUDY CONTEXT OF EROSION NETWORK OF THE ARABLE SLOPES

    Directory of Open Access Journals (Sweden)

    L. N. Trofimets

    2015-01-01

    Full Text Available Study of the relief transformation at arable lands becomes an actual problem due to the intensive use of interfluve sloped surfaces. This research examines the current state and dynamics of erosion network at arable slope in the upper Oka river basin. The riverbeds of modern streams are identified using the phytoindication analysis. The feature was detected out that these streams do not necessarily match with the ancient stream thalwegs. The radiocaesium analysis made it possible to show that soil washout magnitudes are comparable in the thalwegs of current and ancient streams, which are comparable in the length. Geomorphometric methods joined with the geoinformation analysis allow to quantify the role of current erosion network in transformation of the interfluve sloped surfaces relief.

  12. Data Preprocessing in Cluster Analysis of Gene Expression

    Institute of Scientific and Technical Information of China (English)

    杨春梅; 万柏坤; 高晓峰

    2003-01-01

    Considering that the DNA microarray technology has generated explosive gene expression data and that it is urgent to analyse and to visualize such massive datasets with efficient methods, we investigate the data preprocessing methods used in cluster analysis, normalization or logarithm of the matrix, by using hierarchical clustering, principal component analysis (PCA) and self-organizing maps (SOMs). The results illustrate that when using the Euclidean distance as measuring metrics, logarithm of relative expression level is the best preprocessing method, while data preprocessed by normalization cannot attain the expected results because the data structure is ruined. If there are only a few principal components, the PCA is an effective method to extract the frame structure, while SOMs are more suitable for a specific structure.

  13. Suitable reference genes for accurate gene expression analysis in parsley (Petroselinum crispum for abiotic stresses and hormone stimuli

    Directory of Open Access Journals (Sweden)

    Meng-Yao Li

    2016-09-01

    Full Text Available Parsley is one of the most important vegetable in Apiaceae family and widely used in food industry, medicinal and cosmetic. The recent studies in parsley are mainly focus on chemical composition, further research involving the analysis of the gene functions and expressions will be required. qPCR is a powerful method for detecting very low quantities of target transcript levels and widely used for gene expression studies. To ensure the accuracy of results, a suitable reference gene is necessary for expression normalization. In this study, three software geNorm, NormFinder, and BestKeeper were used to evaluate the expression stabilities of eight candidate reference genes (GAPDH, ACTIN, eIF-4α, SAND, UBC, TIP41, EF-1α, and TUB under various conditions including abiotic stresses (heat, cold, salt, and drought and hormone stimuli treatments (GA, SA, MeJA, and ABA. The results showed that EF-1α and TUB were identified as the most stable genes for abiotic stresses, while EF-1α, GAPDH, and TUB were the top three choices for hormone stimuli treatments. Moreover, EF-1α and TUB were the most stable reference genes across all the tested samples, while UBC was the least stable one. The expression analysis of PcDREB1 and PcDREB2 further verified that the selected stable reference genes were suitable for gene expression normalization. This study provides a guideline for selection the suitable reference genes in gene expression in parsley.

  14. Molecular characterization and analysis of the porcine NURR1 gene

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    Knud Larsen

    2016-12-01

    Here we report the isolation and characterization of porcine NURR1 cDNA. The NURR1 cDNA was RT-PCR cloned using NURR1-specific oligonucleotide primers derived from in silico sequences. The porcine NURR1 cDNA encodes a polypeptide of 598 amino acids, displaying a very high similarity with bovine, human and mouse (99% NURR1 protein. Expression analysis revealed a differential NURR1 mRNA expression in various organs and tissues. NURR1 transcripts could be detected as early as at 60 days of embryo development in different brain tissues. A significant increase in NURR1 transcript in the cerebellum and a decrease in NURR1 transcript in the basal ganglia was observed during embryo development. The porcine NURR1 gene was mapped to chromosome 15. Two missense mutations were found in exon 3, the first coding exon of NURR1. Methylation analysis of the porcine NURR1 gene body revealed a high methylation degree in brain tissue, whereas methylation of the promoter was very low. A decrease in DNA methylation in a discrete region of the NURR1 promoter was observed in pig frontal cortex during pig embryo development. This observation correlated with an increase in NURR1 transcripts. Therefore, methylation might be a determinant of NURR1 expression at certain time points in embryo development.

  15. Gene expression analysis of in vivo fluorescent cells.

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    Konstantin Khodosevich

    Full Text Available BACKGROUND: The analysis of gene expression for tissue homogenates is of limited value because of the considerable cell heterogeneity in tissues. However, several methods are available to isolate a cell type of interest from a complex tissue, the most reliable one being Laser Microdissection (LMD. Cells may be distinguished by their morphology or by specific antigens, but the obligatory staining often results in RNA degradation. Alternatively, particular cell types can be detected in vivo by expression of fluorescent proteins from cell type-specific promoters. METHODOLOGY/PRINCIPAL FINDINGS: We developed a technique for fixing in vivo fluorescence in brain cells and isolating them by LMD followed by an optimized RNA isolation procedure. RNA isolated from these cells was of equal quality as from unfixed frozen tissue, with clear 28S and 18S rRNA bands of a mass ratio of approximately 2ratio1. We confirmed the specificity of the amplified RNA from the microdissected fluorescent cells as well as its usefulness and reproducibility for microarray hybridization and quantitative real-time PCR (qRT-PCR. CONCLUSIONS/SIGNIFICANCE: Our technique guarantees the isolation of sufficient high quality RNA obtained from specific cell populations of the brain expressing soluble fluorescent marker, which is a critical prerequisite for subsequent gene expression studies by microarray analysis or qRT-PCR.

  16. Transcriptional analysis of exopolysaccharides biosynthesis gene clusters in Lactobacillus plantarum.

    Science.gov (United States)

    Vastano, Valeria; Perrone, Filomena; Marasco, Rosangela; Sacco, Margherita; Muscariello, Lidia

    2016-04-01

    Exopolysaccharides (EPS) from lactic acid bacteria contribute to specific rheology and texture of fermented milk products and find applications also in non-dairy foods and in therapeutics. Recently, four clusters of genes (cps) associated with surface polysaccharide production have been identified in Lactobacillus plantarum WCFS1, a probiotic and food-associated lactobacillus. These clusters are involved in cell surface architecture and probably in release and/or exposure of immunomodulating bacterial molecules. Here we show a transcriptional analysis of these clusters. Indeed, RT-PCR experiments revealed that the cps loci are organized in five operons. Moreover, by reverse transcription-qPCR analysis performed on L. plantarum WCFS1 (wild type) and WCFS1-2 (ΔccpA), we demonstrated that expression of three cps clusters is under the control of the global regulator CcpA. These results, together with the identification of putative CcpA target sequences (catabolite responsive element CRE) in the regulatory region of four out of five transcriptional units, strongly suggest for the first time a role of the master regulator CcpA in EPS gene transcription among lactobacilli.

  17. The Benefits of Relationship Lending in a Cross-Country Context : A Meta-Analysis

    NARCIS (Netherlands)

    V. Kysucky (Vlado); L. Norden (Lars)

    2014-01-01

    textabstractRelationship lending helps reduce asymmetric information, which potentially creates benefits for borrowers. However, empirical evidence is mixed. We conduct a meta-analysis to summarize and explain the heterogeneity in the results in the literature using hand-collected information from 1

  18. Parent-Child Interaction in Nigerian Families: Conversation Analysis, Context and Culture

    Science.gov (United States)

    Burns, Annabel; Radford, Julie

    2008-01-01

    This paper uses a conversation analysis (CA) approach to explore parent-child interaction (PCI) within Nigerian families. We illustrate how speech and language therapists (SLTs), by using CA, can tailor recommendations according to the interactional style of each individual family that are consonant with the family's cultural beliefs. Three…

  19. An Analysis of College Students' Attitudes towards Error Correction in EFL Context

    Science.gov (United States)

    Zhu, Honglin

    2010-01-01

    This article is based on a survey on the attitudes towards the error correction by their teachers in the process of teaching and learning and it is intended to improve the language teachers' understanding of the nature of error correction. Based on the analysis, the article expounds some principles and techniques that can be applied in the process…

  20. Literacy Coaching in Wyoming Secondary Schools: A Situational Analysis of Roles in Context

    Science.gov (United States)

    Rush, Leslie S.

    2013-01-01

    In 2006, The Wyoming state legislature allocated monies to fund Instructional Facilitators (IFs) in schools around the state. This interview study, developed through situational analysis, explores the roles and responsibilities of IFs in Wyoming secondary schools, and the contextual factors of those schools that impact the work of IFs,…

  1. Information Work Analysis: An Approach to Research on Information Interactions and Information Behaviour in Context

    Science.gov (United States)

    Huvila, Isto

    2008-01-01

    Introduction: A work roles and role theory-based approach to conceptualise human information activity, denoted information work analysis is discussed. The present article explicates the approach and its special characteristics and benefits in comparison to earlier methods of analysing human information work. Method: The approach is discussed in…

  2. Missing Data and Multiple Imputation in the Context of Multivariate Analysis of Variance

    Science.gov (United States)

    Finch, W. Holmes

    2016-01-01

    Multivariate analysis of variance (MANOVA) is widely used in educational research to compare means on multiple dependent variables across groups. Researchers faced with the problem of missing data often use multiple imputation of values in place of the missing observations. This study compares the performance of 2 methods for combining p values in…

  3. Critical Discourse Analysis and Critical Thinking: An Experimental Study in an EFL Context

    Science.gov (United States)

    Hashemi, Mohammad Reza; Ghanizadeh, Afsaneh

    2012-01-01

    The present study investigated the impact of critical discourse analysis (CDA) on TEFL students' critical thinking (CT) ability in "Reading Journalistic Texts" classes. In so doing, the study utilized an experimental design with 24 participants in the control group and 29 participants in the experimental group. The results of a pretest indicated…

  4. The Benefits of Relationship Lending in a Cross-Country Context : A Meta-Analysis

    NARCIS (Netherlands)

    V. Kysucky (Vlado); L. Norden (Lars)

    2014-01-01

    textabstractRelationship lending helps reduce asymmetric information, which potentially creates benefits for borrowers. However, empirical evidence is mixed. We conduct a meta-analysis to summarize and explain the heterogeneity in the results in the literature using hand-collected information from

  5. Missing Data and Multiple Imputation in the Context of Multivariate Analysis of Variance

    Science.gov (United States)

    Finch, W. Holmes

    2016-01-01

    Multivariate analysis of variance (MANOVA) is widely used in educational research to compare means on multiple dependent variables across groups. Researchers faced with the problem of missing data often use multiple imputation of values in place of the missing observations. This study compares the performance of 2 methods for combining p values in…

  6. Schema-Based Analysis of Gendered Self-Disclosure in Persian: Writing for Dating Context

    Science.gov (United States)

    Khodadady, Ebrahim; Mehr, Somayeh Javadi

    2012-01-01

    This paper reports a textual analysis of letters written by 21 male and 21 female participants in Persian. Each writer wrote two letters, one to a dating service and another one to a hypothetical person chosen and introduced by the center. Therefore, a total of 84 letters were collected from the participants. Schema theory was used to find the…

  7. Literacy Coaching in Wyoming Secondary Schools: A Situational Analysis of Roles in Context

    Science.gov (United States)

    Rush, Leslie S.

    2013-01-01

    In 2006, The Wyoming state legislature allocated monies to fund Instructional Facilitators (IFs) in schools around the state. This interview study, developed through situational analysis, explores the roles and responsibilities of IFs in Wyoming secondary schools, and the contextual factors of those schools that impact the work of IFs,…

  8. Girls' Doll Play in Educational, Virtual, Ideological and Market Contexts: A Case Analysis of Controversy

    Science.gov (United States)

    Reifel, Stuart

    2009-01-01

    The purpose of this study was to explore an example of girls' doll play in contemporary US culture, including its virtual, political, marketing, and other contextual meanings. The narrative that provoked the analysis was a brief news report about a controversial school function--a school fund-raiser fashion show featuring American Girl doll…

  9. Hermeneutic Analysis of the Cultural Context of the Functioning of Media in Society and Media Texts on Media Literacy Education Classes

    Directory of Open Access Journals (Sweden)

    Alexander Fedorov

    2015-12-01

    Full Text Available Hermeneutic Analysis of Cultural Context is a study of the process of interpretation of media texts, cultural and historical factors influencing the viewpoint agencies / media text and the author's point of view on the audience. Hermeneutical analysis suggests a media text comprehension through comparison with cultural tradition and reality; penetration into the logic of media texts; analysis skills through comparison of artistic images in the historical and cultural context. Thus, the system is subject to analysis media and its operation in society, human interaction, language, and media using. For the purposes of media education in this case stand out: the creation of a culture of interaction with the media, the development of the perception of different types of information, skills analysis and interpretation of media texts, the formation of critical thinking, creativity in the field of media. This article presented the maindirections for Hermeneutic Analysis of Cultural Context on media literacy education classes for student audience, including the examples of creative problems and issues associated with this type of the analysis in the context of media literacy education problems, ie based on six key concepts of media literacy education: agency, category, language, technology, audience, representation. The author supposes that the Hermeneutic Analysis of Cultural Context of media texts on media literacy education classes can significantly develop media competence of students, including critical thinking.

  10. Reference gene selection for gene expression analysis of oocytes collected from dairy cattle and buffaloes during winter and summer.

    Directory of Open Access Journals (Sweden)

    Carolina Habermann Macabelli

    Full Text Available Oocytes from dairy cattle and buffaloes have severely compromised developmental competence during summer. While analysis of gene expression is a powerful technique for understanding the factors affecting developmental hindrance in oocytes, analysis by real-time reverse transcription PCR (RT-PCR relies on the correct normalization by reference genes showing stable expression. Furthermore, several studies have found that genes commonly used as reference standards do not behave as expected depending on cell type and experimental design. Hence, it is recommended to evaluate expression stability of candidate reference genes for a specific experimental condition before employing them as internal controls. In acknowledgment of the importance of seasonal effects on oocyte gene expression, the aim of this study was to evaluate the stability of expression levels of ten well-known reference genes (ACTB, GAPDH, GUSB, HIST1H2AG, HPRT1, PPIA, RPL15, SDHA, TBP and YWHAZ using oocytes collected from different categories of dairy cattle and buffaloes during winter and summer. A normalization factor was provided for cattle (RPL15, PPIA and GUSB and buffaloes (YWHAZ, GUSB and GAPDH based on the expression of the three most stable reference genes in each species. Normalization of non-reference target genes by these reference genes was shown to be considerably different from normalization by less stable reference genes, further highlighting the need for careful selection of internal controls. Therefore, due to the high variability of reference genes among experimental groups, we conclude that data normalized by internal controls can be misleading and should be compared to not normalized data or to data normalized by an external control in order to better interpret the biological relevance of gene expression analysis.

  11. Global gene expression analysis of the zoonotic parasite Trichinella spiralis revealed novel genes in host parasite interaction.

    Directory of Open Access Journals (Sweden)

    Xiaolei Liu

    Full Text Available BACKGROUND: Trichinellosis is a typical food-borne zoonotic disease which is epidemic worldwide and the nematode Trichinella spiralis is the main pathogen. The life cycle of T. spiralis contains three developmental stages, i.e. adult worms, new borne larva (new borne L1 larva and muscular larva (infective L1 larva. Stage-specific gene expression in the parasites has been investigated with various immunological and cDNA cloning approaches, whereas the genome-wide transcriptome and expression features of the parasite have been largely unknown. The availability of the genome sequence information of T. spiralis has made it possible to deeply dissect parasite biology in association with global gene expression and pathogenesis. METHODOLOGY AND PRINCIPAL FINDINGS: In this study, we analyzed the global gene expression patterns in the three developmental stages of T. spiralis using digital gene expression (DGE analysis. Almost 15 million sequence tags were generated with the Illumina RNA-seq technology, producing expression data for more than 9,000 genes, covering 65% of the genome. The transcriptome analysis revealed thousands of differentially expressed genes within the genome, and importantly, a panel of genes encoding functional proteins associated with parasite invasion and immuno-modulation were identified. More than 45% of the genes were found to be transcribed from both strands, indicating the importance of RNA-mediated gene regulation in the development of the parasite. Further, based on gene ontological analysis, over 3000 genes were functionally categorized and biological pathways in the three life cycle stage were elucidated. CONCLUSIONS AND SIGNIFICANCE: The global transcriptome of T. spiralis in three developmental stages has been profiled, and most gene activity in the genome was found to be developmentally regulated. Many metabolic and biological pathways have been revealed. The findings of the differential expression of several protein

  12. Reference Gene Selection for Gene Expression Analysis of Oocytes Collected from Dairy Cattle and Buffaloes during Winter and Summer

    Science.gov (United States)

    Gimenes, Lindsay Unno; de Carvalho, Nelcio Antonio Tonizza; Soares, Júlia Gleyci; Ayres, Henderson; Ferraz, Márcio Leão; Watanabe, Yeda Fumie; Watanabe, Osnir Yoshime; Sangalli, Juliano Rodrigues; Smith, Lawrence Charles; Baruselli, Pietro Sampaio; Meirelles, Flávio Vieira; Chiaratti, Marcos Roberto

    2014-01-01

    Oocytes from dairy cattle and buffaloes have severely compromised developmental competence during summer. While analysis of gene expression is a powerful technique for understanding the factors affecting developmental hindrance in oocytes, analysis by real-time reverse transcription PCR (RT-PCR) relies on the correct normalization by reference genes showing stable expression. Furthermore, several studies have found that genes commonly used as reference standards do not behave as expected depending on cell type and experimental design. Hence, it is recommended to evaluate expression stability of candidate reference genes for a specific experimental condition before employing them as internal controls. In acknowledgment of the importance of seasonal effects on oocyte gene expression, the aim of this study was to evaluate the stability of expression levels of ten well-known reference genes (ACTB, GAPDH, GUSB, HIST1H2AG, HPRT1, PPIA, RPL15, SDHA, TBP and YWHAZ) using oocytes collected from different categories of dairy cattle and buffaloes during winter and summer. A normalization factor was provided for cattle (RPL15, PPIA and GUSB) and buffaloes (YWHAZ, GUSB and GAPDH) based on the expression of the three most stable reference genes in each species. Normalization of non-reference target genes by these reference genes was shown to be considerably different from normalization by less stable reference genes, further highlighting the need for careful selection of internal controls. Therefore, due to the high variability of reference genes among experimental groups, we conclude that data normalized by internal controls can be misleading and should be compared to not normalized data or to data normalized by an external control in order to better interpret the biological relevance of gene expression analysis. PMID:24676354

  13. Cloning and Expression Analysis of Mlo Gene from Pericallis hybrida B. Nord

    Institute of Scientific and Technical Information of China (English)

    Wang Jin-gang; Li Wei; Ren Hong-wei; Lv Yuan-da; Bai Ding; Xu Jing

    2014-01-01

    The full-length Mlo gene was obtained by reverse transcription polymerase chain reaction (RT-PCR) and RACE. The result of sequence analysis indicated that Mlo gene from Pericallis hybrida B. Nord. contained about 1 296 bp open reading frame and encoded 431 amino acids. According to the comparison of the exogenous gene sequences by BLAST analysis and phylogenetic analysis, Mlo gene shared over 85%nucleotide homology and 98%amino acid homology. Finally, through semi-quantitative-PCR and fluorescence quantitative analysis, we found that Mlo gene showed the highest expression levels in leaves and the lowest in roots after inoculated with powdery mildew pathogen for different days.

  14. CFA2: a Context-Free Approach to Control-Flow Analysis

    CERN Document Server

    Vardoulakis, Dimitrios

    2011-01-01

    In a functional language, the dominant control-flow mechanism is function call and return. Most higher-order flow analyses, including k-CFA, do not handle call and return well: they remember only a bounded number of pending calls because they approximate programs with control-flow graphs. Call/return mismatch introduces precision-degrading spurious control-flow paths and increases the analysis time. We describe CFA2, the first flow analysis with precise call/return matching in the presence of higher-order functions and tail calls. We formulate CFA2 as an abstract interpretation of programs in continuation-passing style and describe a sound and complete summarization algorithm for our abstract semantics. A preliminary evaluation shows that CFA2 gives more accurate data-flow information than 0CFA and 1CFA.

  15. Critical appraisal of conventional semen analysis in the context of varicocele

    Directory of Open Access Journals (Sweden)

    Thinus Kruger

    2016-01-01

    Full Text Available Varicocele is present in approximately 15% of men, and, although it is the most commonly diagnosed cause of male infertility, nearly two-thirds of men with varicoceles remain fertile. It was decided to make use of the current evidence obtained from the previous meta-analyses between 2004 and 2015 as well as available articles covering this field, preferably randomized controlled articles dealing with the topic of semen analysis before and after repair. Two important meta-analyses were discussed as well as other articles dealing with the topic of semen analysis before and after varicocelectomy. The evidence suggests that all semen parameters improve after varicocele repair. Based on the available evidence, it is clear that there is a benefit in treating men with a palpable varicocele. One can expect that all semen parameters will improve within 3 months after repair.

  16. Guidelines for reliability analysis of digital systems in PSA context. Phase 1 status report

    Energy Technology Data Exchange (ETDEWEB)

    Authen, S.; Larsson, J. (Risk Pilot AB, Stockholm (Sweden)); Bjoerkman, K.; Holmberg, J.-E. (VTT, Helsingfors (Finland))

    2010-12-15

    Digital protection and control systems are appearing as upgrades in older nuclear power plants (NPPs) and are commonplace in new NPPs. To assess the risk of NPP operation and to determine the risk impact of digital system upgrades on NPPs, quantitative reliability models are needed for digital systems. Due to the many unique attributes of these systems, challenges exist in systems analysis, modeling and in data collection. Currently there is no consensus on reliability analysis approaches. Traditional methods have clearly limitations, but more dynamic approaches are still in trial stage and can be difficult to apply in full scale probabilistic safety assessments (PSA). The number of PSAs worldwide including reliability models of digital I and C systems are few. A comparison of Nordic experiences and a literature review on main international references have been performed in this pre-study project. The study shows a wide range of approaches, and also indicates that no state-of-the-art currently exists. The study shows areas where the different PSAs agree and gives the basis for development of a common taxonomy for reliability analysis of digital systems. It is still an open matter whether software reliability needs to be explicitly modelled in the PSA. The most important issue concerning software reliability is proper descriptions of the impact that software-based systems has on the dependence between the safety functions and the structure of accident sequences. In general the conventional fault tree approach seems to be sufficient for modelling reactor protection system kind of functions. The following focus areas have been identified for further activities: 1. Common taxonomy of hardware and software failure modes of digital components for common use 2. Guidelines regarding level of detail in system analysis and screening of components, failure modes and dependencies 3. Approach for modelling of CCF between components (including software). (Author)

  17. Psychological treatments to improve quality of life in cancer contexts: A meta-analysis

    OpenAIRE

    Alejandro de la Torre-Luque; Hilda Gambara; Escarlata López; Juan Antonio Cruzado

    2016-01-01

    This study aimed to analyze the effects of psychological treatments on quality of life among cancer patients and survivors. Additionally, it was explored the moderating influence of some medical- and treatment-related features on these effects. Scientific studies published between 1970 and 2012 were analyzed. Seventy-eight studies were included in a meta-analysis. Concerns related to samples, interventions, and standard of methodological evidence were explored across the studies. A signifi...

  18. Stakeholder Analysis on Boycott Movement: A Preliminary Study Using Media Contexts

    Directory of Open Access Journals (Sweden)

    Kresno Agus Hendarto

    2011-12-01

    Full Text Available Just like the celebrities, social movement depends, to an extent, on media in communicating its activities to the public. The relationship between social movement and media is transactional. On the one hand, social movement needs media to disseminate its activities. On the other hand, media needs social movement as the news source. Scant (beyond very few notable exceptions empirical research is not available on boycott product as a social movement and stakeholder analysis in Indonesia. The objective of this study is to perform stakeholder analysis on boycott product as a social movement. To do so, the study attempts to answer some questions: (i what are the trigger and root cause of boycott movement?; (ii what are the interest and influence of each stakeholder on boycott movement?; (iii how is the existing relationship among stakeholders?; and (iv among the stakeholders, which group does get priority? The news about boycott was collected from national media. The news was then analyzed by content analysis. The results show that in the case of boycott, many parties are involved. However, firms’ management has to give priority to consumers, special interest groups, and the gov-ernment. Attention can be manifested in a continuous and sustainable dialogue with them.

  19. Sensitivity analysis in the context of regional safety modeling: identifying and assessing the modifiable areal unit problem.

    Science.gov (United States)

    Xu, Pengpeng; Huang, Helai; Dong, Ni; Abdel-Aty, Mohamed

    2014-09-01

    A wide array of spatial units has been explored in current regional safety analysis. Since traffic crashes exhibit extreme spatiotemporal heterogeneity which has rarely been a consideration in partitioning these zoning systems, research based on these areal units may be subjected to the modifiable areal unit problem (MAUP). This study attempted to conduct a sensitivity analysis to quantitatively investigate the MAUP effect in the context of regional safety modeling. The emerging regionalization method-RECDAP (regionalization with dynamically constrained agglomerative clustering and partitioning) was employed to aggregate 738 traffic analysis zones in the county of Hillsborough to 14 zoning schemes at an incremental step-size of 50 zones based on spatial homogeneity of crash risk. At each level of aggregation, a Bayesian Poisson lognormal mo