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Sample records for reporter gene methods

  1. Development of a facile method for high throughput screening with reporter gene assays.

    Science.gov (United States)

    Goetz, A S; Andrews, J L; Littleton, T R; Ignar, D M

    2000-10-01

    This report describes a facile methodology for high throughput screening with stable mammalian cell reporter gene assays. We have adapted a 96-well adherent cell method to an assay in which cells propagated in suspension are dispensed into 96- or 384-well plates containing test compounds in 100% DMSO. The validation of a stable CHO cell line that expresses 6xCRE-luciferase for use as a reporter gene host cell line is described. The reporter gene, when expressed in this particular CHO cell line, appears to respond specifically to modulation of cAMP levels, thus the cell line is appropriate for screening and pharmacological analysis of Galpha(s)- and Galpha(i)-coupled seven-transmembrane receptors. The development of the new suspension cell assay in both 96- and 384-well formats was performed using a derivative of the CHO host reporter cell line that was stably transfected with human melanocortin-1 receptor. The response of this cell line to NDP-alpha-melanocyte-stimulating hormone and forskolin was nearly identical between the adherent and suspension methods. The new method offers improvements in cost, throughput, cell culture effort, compound stability, accuracy of compound delivery, and hands-on time. The 384-well assay can be performed at high capacity in any laboratory without the use of expensive automation systems such that a single person can screen 100 plates per day with 3.5-4 h hands-on time. Although the system has been validated using Galpha(s)-coupled receptor-mediated activation of a cAMP response element, the method can be applied to other types of targets and/or transcriptional response elements.

  2. A BAC-bacterial recombination method to generate physically linked multiple gene reporter DNA constructs

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    Gong Shiaochin

    2009-03-01

    Full Text Available Abstract Background Reporter gene mice are valuable animal models for biological research providing a gene expression readout that can contribute to cellular characterization within the context of a developmental process. With the advancement of bacterial recombination techniques to engineer reporter gene constructs from BAC genomic clones and the generation of optically distinguishable fluorescent protein reporter genes, there is an unprecedented capability to engineer more informative transgenic reporter mouse models relative to what has been traditionally available. Results We demonstrate here our first effort on the development of a three stage bacterial recombination strategy to physically link multiple genes together with their respective fluorescent protein (FP reporters in one DNA fragment. This strategy uses bacterial recombination techniques to: (1 subclone genes of interest into BAC linking vectors, (2 insert desired reporter genes into respective genes and (3 link different gene-reporters together. As proof of concept, we have generated a single DNA fragment containing the genes Trap, Dmp1, and Ibsp driving the expression of ECFP, mCherry, and Topaz FP reporter genes, respectively. Using this DNA construct, we have successfully generated transgenic reporter mice that retain two to three gene readouts. Conclusion The three stage methodology to link multiple genes with their respective fluorescent protein reporter works with reasonable efficiency. Moreover, gene linkage allows for their common chromosomal integration into a single locus. However, the testing of this multi-reporter DNA construct by transgenesis does suggest that the linkage of two different genes together, despite their large size, can still create a positional effect. We believe that gene choice, genomic DNA fragment size and the presence of endogenous insulator elements are critical variables.

  3. Report of Nocardia species isolated from soil by 16S rRNA gene sequencing method in Isfahan, Iran

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    samane bourbour

    2016-03-01

    Full Text Available Introduction: The genus Nocardia belongs to aerobic Actinomycetes. They are a large group of soil-dwelling bacteria that are distributed worldwide. Using various key conventional and molecular diagnostic tests, several Nocardia isolates were identified, characterized and distinguished. Materials and methods: In our study, soil isolation method was Slip-buried type and DNA extraction was obtained through Microwave oven method and Nocardia asteroides DSM 43757-type strain as standard was tested to approve the above method. Following this study, Polymerase Chain Reaction was carried out using universal primers. Results: Phenotypic and molecular data analysis, particularly 16S rRNA gene sequencing, provided evidence on Nocardia cyriacigeorgica KC577151, Nocardia asteroides KC577152, Nocardia cummidelens KC577153, Nocardia asteroides KC577154, Nocardia asteroides KC577155, Nocardia coubleae KC577156 involvement in Iran soil in Isfahan and these isolates were eventually registered in NCBI gene bank. Discussion and conclusion: In this research, six Nocardia species were isolated and identified some of which isolated species were novel in Iran soil in Isfahan, at the time of isolation and detection. To identify more species of Nocardia in subsequent studies, proliferation and sequencing of other genes of the bacteria such as hsp65, ITS, secA, rpoB and sod can be applied. 

  4. MRI Reporter Genes for Noninvasive Molecular Imaging

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    Caixia Yang

    2016-05-01

    Full Text Available Magnetic resonance imaging (MRI is one of the most important imaging technologies used in clinical diagnosis. Reporter genes for MRI can be applied to accurately track the delivery of cell in cell therapy, evaluate the therapy effect of gene delivery, and monitor tissue/cell-specific microenvironments. Commonly used reporter genes for MRI usually include genes encoding the enzyme (e.g., tyrosinase and β-galactosidase, the receptor on the cells (e.g., transferrin receptor, and endogenous reporter genes (e.g., ferritin reporter gene. However, low sensitivity limits the application of MRI and reporter gene-based multimodal imaging strategies are common including optical imaging and radionuclide imaging. These can significantly improve diagnostic efficiency and accelerate the development of new therapies.

  5. Bioinformatics methods for identifying candidate disease genes

    NARCIS (Netherlands)

    Driel, M.A. van; Brunner, H.G.

    2006-01-01

    With the explosion in genomic and functional genomics information, methods for disease gene identification are rapidly evolving. Databases are now essential to the process of selecting candidate disease genes. Combining positional information with disease characteristics and functional information i

  6. A Method for Identification of Selenoprotein Genes in Archaeal Genomes

    Institute of Scientific and Technical Information of China (English)

    Mingfeng Li; Yanzhao Huang; Yi Xiao

    2009-01-01

    The genetic codon UGA has a dual function: serving as a terminator and encoding selenocysteine. However, most popular gene annotation programs only take it as a stop signal, resulting in misannotation or completely missing selenoprotein genes. We developed a computational method named Asec-Prediction that is specific for the prediction of archaeal selenoprotein genes. To evaluate its effectiveness, we first applied it to 14 archaeal genomes with previously known selenoprotein genes, and Asec-Prediction identified all reported selenoprotein genes without redundant results. When we applied it to 12 archaeal genomes that had not been researched for selenoprotein genes, Asec-Prediction detected a novel selenoprotein gene in Methanosarcina acetivorans. Further evidence was also collected to support that the predicted gene should be a real selenoprotein gene. The result shows that Asec-Prediction is effective for the prediction of archaeal selenoprotein genes.

  7. Immersed interface methods. Final report

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    LeVeque, R.J.; Adams, L.M.; Bube, K.P.

    1996-11-01

    Cartesian grid methods encompass a wide variety of techniques used to solve partial differential equations in more than one space dimension on uniform Cartesian grids even when the underlying geometry is complex and not aligned with the grid. The authors` groups work on Immersed Interface Methods (IIM) was originally motivated by the desire to understand and improve the ``Immersed Boundary Method``, developed by Charles Peskin to solve incompressible Navier-Stokes equations in complicated geometries with moving elastic boundaries. This report briefly discusses the development of the Immersed Interface Methods and gives examples of application of the method in solving several partial differential equations.

  8. Methods for monitoring multiple gene expression

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    Berka, Randy (Davis, CA); Bachkirova, Elena (Davis, CA); Rey, Michael (Davis, CA)

    2012-05-01

    The present invention relates to methods for monitoring differential expression of a plurality of genes in a first filamentous fungal cell relative to expression of the same genes in one or more second filamentous fungal cells using microarrays containing Trichoderma reesei ESTs or SSH clones, or a combination thereof. The present invention also relates to computer readable media and substrates containing such array features for monitoring expression of a plurality of genes in filamentous fungal cells.

  9. Methods for monitoring multiple gene expression

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    Berka, Randy; Bachkirova, Elena; Rey, Michael

    2013-10-01

    The present invention relates to methods for monitoring differential expression of a plurality of genes in a first filamentous fungal cell relative to expression of the same genes in one or more second filamentous fungal cells using microarrays containing Trichoderma reesei ESTs or SSH clones, or a combination thereof. The present invention also relates to computer readable media and substrates containing such array features for monitoring expression of a plurality of genes in filamentous fungal cells.

  10. Methods for monitoring multiple gene expression

    Energy Technology Data Exchange (ETDEWEB)

    Berka, Randy [Davis, CA; Bachkirova, Elena [Davis, CA; Rey, Michael [Davis, CA

    2012-05-01

    The present invention relates to methods for monitoring differential expression of a plurality of genes in a first filamentous fungal cell relative to expression of the same genes in one or more second filamentous fungal cells using microarrays containing Trichoderma reesei ESTs or SSH clones, or a combination thereof. The present invention also relates to computer readable media and substrates containing such array features for monitoring expression of a plurality of genes in filamentous fungal cells.

  11. Methods for monitoring multiple gene expression

    Energy Technology Data Exchange (ETDEWEB)

    Berka, Randy; Bachkirova, Elena; Rey, Michael

    2013-10-01

    The present invention relates to methods for monitoring differential expression of a plurality of genes in a first filamentous fungal cell relative to expression of the same genes in one or more second filamentous fungal cells using microarrays containing Trichoderma reesei ESTs or SSH clones, or a combination thereof. The present invention also relates to computer readable media and substrates containing such array features for monitoring expression of a plurality of genes in filamentous fungal cells.

  12. Bioinformatics methods for identifying candidate disease genes

    Directory of Open Access Journals (Sweden)

    van Driel Marc A

    2006-06-01

    Full Text Available Abstract With the explosion in genomic and functional genomics information, methods for disease gene identification are rapidly evolving. Databases are now essential to the process of selecting candidate disease genes. Combining positional information with disease characteristics and functional information is the usual strategy by which candidate disease genes are selected. Enrichment for candidate disease genes, however, depends on the skills of the operating researcher. Over the past few years, a number of bioinformatics methods that enrich for the most likely candidate disease genes have been developed. Such in silico prioritisation methods may further improve by completion of datasets, by development of standardised ontologies across databases and species and, ultimately, by the integration of different strategies.

  13. Reporter Gene Imaging in Therapy and Diagnosis

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    Pritha Ray, Abhijit De

    2012-01-01

    Full Text Available Noninvasive molecular imaging using reporter genes is a relatively recent field in biomedical imaging that holds great promises for disease diagnosis and therapy. As modern medicine is moving towards personalized medicine, targeted biomolecule based therapies is gaining popularity that requires careful and systematic validation. Reporter genes have emerged as important generalizable tools to overcome the shortcomings of direct evaluation of individual biomolecules and are being applied in various fields such as cell therapy, stem cell therapy, immune therapy, viral gene delivery through optical, radionuclide, magnetic resonance imaging techniques. New approaches to image protein-protein interaction, protein phosphorylation, protein folding that are crucial parameters for theranostic study using reporter genes are being developed. All these new technologies and relevant preclinical and clinical researches will determine the success of early detection and personalized therapy in the future.

  14. HMM-Based Gene Annotation Methods

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    Haussler, David; Hughey, Richard; Karplus, Keven

    1999-09-20

    Development of new statistical methods and computational tools to identify genes in human genomic DNA, and to provide clues to their functions by identifying features such as transcription factor binding sites, tissue, specific expression and splicing patterns, and remove homologies at the protein level with genes of known function.

  15. Modification of Cre Gene by PCR Method

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Cre/LoxP site-specified recombination system is mainly used for excision,inversion and integration of target gene.Therefore,this system can be used for plant marker free genetic transformation,site-specific transgene expression and so on.However,the application of this system was limited due to its low expression and excision efficiency.In this study,an intron,which can enhance gene expression in plants,was inserted into Cre by using PCR method.And a modified Cre gene,named Crein,was obtained.This gene was ...

  16. Effect of SNPs in protein kinase Czgene on gene expression in the reporter gene detection system

    Institute of Scientific and Technical Information of China (English)

    Zhuo Liu; Hong-Xia Sun; Yong-Wei Zhang; Yun-Feng Li; Jin Zuo; Yan Meng; Fu-De Fang

    2004-01-01

    AIM: To investigated the effects of the SNPs (rs411021,rs436045, rs427811, rs385039 and rs809912) on gene expression and further identify the susceptibility genes of type 2 diabetes.METHODS: Ten allele fragments (49 bp each) were synthesized according to the 5 SNPs mentioned above.These fragments were cloned into luciferase reporter gene vector and then transfected into HepG2 cells. The activity of the luciferase was assayed. Effects of the SNPs on RNA splicing were analyzed by bioinformatics.RESULTS: rs427811T allele and rs809912G allele enhanced the activity of the reporter gene expression. None of the 5 SNPs affected RNA splicing.CONCLUSION: SNPs in protein kinase Cz (PKCZ) gene probably play a role in the susceptibility to type 2 diabetes by affecting the expression level of the relevant genes.

  17. Methods Data Qualification Interim Report

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    R. Sam Alessi; Tami Grimmett; Leng Vang; Dave McGrath

    2010-09-01

    The overall goal of the Next Generation Nuclear Plant (NGNP) Data Management and Analysis System (NDMAS) is to maintain data provenance for all NGNP data including the Methods component of NGNP data. Multiple means are available to access data stored in NDMAS. A web portal environment allows users to access data, view the results of qualification tests and view graphs and charts of various attributes of the data. NDMAS also has methods for the management of the data output from VHTR simulation models and data generated from experiments designed to verify and validate the simulation codes. These simulation models represent the outcome of mathematical representation of VHTR components and systems. The methods data management approaches described herein will handle data that arise from experiment, simulation, and external sources for the main purpose of facilitating parameter estimation and model verification and validation (V&V). A model integration environment entitled ModelCenter is used to automate the storing of data from simulation model runs to the NDMAS repository. This approach does not adversely change the why computational scientists conduct their work. The method is to be used mainly to store the results of model runs that need to be preserved for auditing purposes or for display to the NDMAS web portal. This interim report demonstrates the currently development of NDMAS for Methods data and discusses data and its qualification that is currently part of NDMAS.

  18. Impact of ubiquitous inhibitors on the GUS gene reporter system: evidence from the model plants Arabidopsis, tobacco and rice and correction methods for quantitative assays of transgenic and endogenous GUS

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    Gerola Paolo D

    2009-12-01

    Full Text Available Abstract Background The β-glucuronidase (GUS gene reporter system is one of the most effective and employed techniques in the study of gene regulation in plant molecular biology. Improving protocols for GUS assays have rendered the original method described by Jefferson amenable to various requirements and conditions, but the serious limitation caused by inhibitors of the enzyme activity in plant tissues has thus far been underestimated. Results We report that inhibitors of GUS activity are ubiquitous in organ tissues of Arabidopsis, tobacco and rice, and significantly bias quantitative assessment of GUS activity in plant transformation experiments. Combined with previous literature reports on non-model species, our findings suggest that inhibitors may be common components of plant cells, with variable affinity towards the E. coli enzyme. The reduced inhibitory capacity towards the plant endogenous GUS discredits the hypothesis of a regulatory role of these compounds in plant cells, and their effect on the bacterial enzyme is better interpreted as a side effect due to their interaction with GUS during the assay. This is likely to have a bearing also on histochemical analyses, leading to inaccurate evaluations of GUS expression. Conclusions In order to achieve reliable results, inhibitor activity should be routinely tested during quantitative GUS assays. Two separate methods to correct the measured activity of the transgenic and endogenous GUS are presented.

  19. Computational methods for Gene Orthology inference

    Science.gov (United States)

    Kristensen, David M.; Wolf, Yuri I.; Mushegian, Arcady R.

    2011-01-01

    Accurate inference of orthologous genes is a pre-requisite for most comparative genomics studies, and is also important for functional annotation of new genomes. Identification of orthologous gene sets typically involves phylogenetic tree analysis, heuristic algorithms based on sequence conservation, synteny analysis, or some combination of these approaches. The most direct tree-based methods typically rely on the comparison of an individual gene tree with a species tree. Once the two trees are accurately constructed, orthologs are straightforwardly identified by the definition of orthology as those homologs that are related by speciation, rather than gene duplication, at their most recent point of origin. Although ideal for the purpose of orthology identification in principle, phylogenetic trees are computationally expensive to construct for large numbers of genes and genomes, and they often contain errors, especially at large evolutionary distances. Moreover, in many organisms, in particular prokaryotes and viruses, evolution does not appear to have followed a simple ‘tree-like’ mode, which makes conventional tree reconciliation inapplicable. Other, heuristic methods identify probable orthologs as the closest homologous pairs or groups of genes in a set of organisms. These approaches are faster and easier to automate than tree-based methods, with efficient implementations provided by graph-theoretical algorithms enabling comparisons of thousands of genomes. Comparisons of these two approaches show that, despite conceptual differences, they produce similar sets of orthologs, especially at short evolutionary distances. Synteny also can aid in identification of orthologs. Often, tree-based, sequence similarity- and synteny-based approaches can be combined into flexible hybrid methods. PMID:21690100

  20. Benchmarking Transcriptome Quantification Methods for Duplicated Genes in Xenopus laevis.

    Science.gov (United States)

    Kwon, Taejoon

    2015-01-01

    Xenopus is an important model organism for the study of genome duplication in vertebrates. With the full genome sequence of diploid Xenopus tropicalis available, and that of allotetraploid X. laevis close to being finished, we will be able to expand our understanding of how duplicated genes have evolved. One of the key features in the study of the functional consequence of gene duplication is how their expression patterns vary across different conditions, and RNA-seq seems to have enough resolution to discriminate the expression of highly similar duplicated genes. However, most of the current RNA-seq analysis methods were not designed to study samples with duplicate genes such as in X. laevis. Here, various computational methods to quantify gene expression in RNA-seq data were evaluated, using 2 independent X. laevis egg RNA-seq datasets and 2 reference databases for duplicated genes. The fact that RNA-seq can measure expression levels of similar duplicated genes was confirmed, but long paired-end reads are more informative than short single-end reads to discriminate duplicated genes. Also, it was found that bowtie, one of the most popular mappers in RNA-seq analysis, reports significantly smaller numbers of unique hits according to a mapping quality score compared to other mappers tested (BWA, GSNAP, STAR). Calculated from unique hits based on a mapping quality score, both expression levels and the expression ratio of duplicated genes can be estimated consistently among biological replicates, demonstrating that this method can successfully discriminate the expression of each copy of a duplicated gene pair. This comprehensive evaluation will be a useful guideline for studying gene expression of organisms with genome duplication using RNA-seq in the future.

  1. Repetitive Imaging of Reporter Gene Expression in the Lung

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    Jean-Christophe Richard

    2003-10-01

    Full Text Available Positron emission tomographic imaging is emerging as a powerful technology to monitor reporter transgene expression in the lungs and other organs. However, little information is available about its usefulness for studying gene expression over time. Therefore, we infected 20 rats with a replication-deficient adenovirus containing a fusion gene encoding for a mutant Herpes simplex virus type-1 thymidine kinase and an enhanced green fluorescent protein. Five additional rats were infected with a control virus. Pulmonary gene transfer was performed via intratracheal administration of vector using a surfactant-based method. Imaging was performed 4–6 hr, and 4, 7, and 10 days after gene transfer, using 9-(4-[18F]-fluoro-3-hydroxymethylbutylguanine, an imaging substrate for the mutant kinase. Lung tracer uptake assessed with imaging was moderately but significantly increased 4–6 hr after gene transfer, was maximal after 4 days, and was no longer detectable by 10 days. The temporal pattern of transgene expression measured ex vivo with in vitro assays of thymidine kinase activity and green fluorescent protein was similar to imaging. In conclusion, positron emission tomography is a reliable new tool to evaluate the onset and duration of reporter gene expression noninvasively in the lungs of intact animals.

  2. Method-MS. Final report

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    Skipperud, L.; Popic, J.M. (Norwegian Univ. of Life Science (UMB), Isotope Lab. (Norway)); Roos, P. (Technical Univ. of Denmark, Risoe National Lab. for Sustainable Energy, Roskilde (Denmark)); Salminen, S. (Univ. of Helsinki (UH) (Finland)); Nygren, U. (Swedish Defence Research Agency (FOI) (Sweden)); Sigmarsson, O.; Palsson, S.E. (Univ. of Iceland/Icelandic Radiation Protection Institute (Iceland))

    2011-05-15

    Radiometric determination methods, such as alpha spectrometry require long counting times when low activities are to be determined. Mass spectrometric techniques as Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Thermal Ionisation Mass Spectrometry (TIMS) and Accelerator Mass Spectrometry (AMS) have shown several advantages compared to traditional methods when measuring long-lived radionuclides. Mass spectrometric methods for determination of very low concentrations of elemental isotopes, and thereby isotopic ratios, have been developed using a variety of ion sources. Although primarily applied to the determination of the lighter stable element isotopes and radioactive isotopes in geological studies, the techniques can equally well be applied to the measurement of activity concentrations of long-lived low-level radionuclides in various samples using 'isotope dilution' methods such as those applied in inductively coupled plasma mass spectrometry (ICP-MS). Due to the low specific activity of long-lived radionuclides, many of these are more conveniently detected using mass spectrometric techniques. Mass spectrometry also enables the individual determination of Pu-239 and Pu-240, which cannot be obtained by alpha spectrometry. Inductively Coupled Plasma Mass Spectrometry (ICP-MS) are rapidly growing techniques for the ultra-trace analytical determination of stable and long-lived isotopes and have a wide potential within environmental science, including ecosystem tracers and radio ecological studies. Such instrumentation, of course needs good radiochemical separation, to give best performance. The objectives of the project is to identify current needs and problems within low-level determination of long-lived radioisotopes by ICP-MS, to perform intercalibration and development and improvement of ICP-MS methods for the measurement of radionuclides and isotope ratios and to develop new methods based on modified separation chemistry applied to new

  3. A gene-based information gain method for detecting gene-gene interactions in case-control studies.

    Science.gov (United States)

    Li, Jin; Huang, Dongli; Guo, Maozu; Liu, Xiaoyan; Wang, Chunyu; Teng, Zhixia; Zhang, Ruijie; Jiang, Yongshuai; Lv, Hongchao; Wang, Limei

    2015-11-01

    Currently, most methods for detecting gene-gene interactions (GGIs) in genome-wide association studies are divided into SNP-based methods and gene-based methods. Generally, the gene-based methods can be more powerful than SNP-based methods. Some gene-based entropy methods can only capture the linear relationship between genes. We therefore proposed a nonparametric gene-based information gain method (GBIGM) that can capture both linear relationship and nonlinear correlation between genes. Through simulation with different odds ratio, sample size and prevalence rate, GBIGM was shown to be valid and more powerful than classic KCCU method and SNP-based entropy method. In the analysis of data from 17 genes on rheumatoid arthritis, GBIGM was more effective than the other two methods as it obtains fewer significant results, which was important for biological verification. Therefore, GBIGM is a suitable and powerful tool for detecting GGIs in case-control studies.

  4. Positron emission tomography reporter genes and reporter probes: gene and cell therapy applications.

    Science.gov (United States)

    Yaghoubi, Shahriar S; Campbell, Dean O; Radu, Caius G; Czernin, Johannes

    2012-01-01

    Positron emission tomography (PET) imaging reporter genes (IRGs) and PET reporter probes (PRPs) are amongst the most valuable tools for gene and cell therapy. PET IRGs/PRPs can be used to non-invasively monitor all aspects of the kinetics of therapeutic transgenes and cells in all types of living mammals. This technology is generalizable and can allow long-term kinetics monitoring. In gene therapy, PET IRGs/PRPs can be used for whole-body imaging of therapeutic transgene expression, monitoring variations in the magnitude of transgene expression over time. In cell or cellular gene therapy, PET IRGs/PRPs can be used for whole-body monitoring of therapeutic cell locations, quantity at all locations, survival and proliferation over time and also possibly changes in characteristics or function over time. In this review, we have classified PET IRGs/PRPs into two groups based on the source from which they were derived: human or non-human. This classification addresses the important concern of potential immunogenicity in humans, which is important for expansion of PET IRG imaging in clinical trials. We have then discussed the application of this technology in gene/cell therapy and described its use in these fields, including a summary of using PET IRGs/PRPs in gene and cell therapy clinical trials. This review concludes with a discussion of the future direction of PET IRGs/PRPs and recommends cell and gene therapists collaborate with molecular imaging experts early in their investigations to choose a PET IRG/PRP system suitable for progression into clinical trials.

  5. Positron Emission Tomography Reporter Genes and Reporter Probes: Gene and Cell Therapy Applications

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    Shahriar S. Yaghoubi, Dean O. Campbell, Caius G. Radu, Johannes Czernin

    2012-01-01

    Full Text Available Positron emission tomography (PET imaging reporter genes (IRGs and PET reporter probes (PRPs are amongst the most valuable tools for gene and cell therapy. PET IRGs/PRPs can be used to non-invasively monitor all aspects of the kinetics of therapeutic transgenes and cells in all types of living mammals. This technology is generalizable and can allow long-term kinetics monitoring. In gene therapy, PET IRGs/PRPs can be used for whole-body imaging of therapeutic transgene expression, monitoring variations in the magnitude of transgene expression over time. In cell or cellular gene therapy, PET IRGs/PRPs can be used for whole-body monitoring of therapeutic cell locations, quantity at all locations, survival and proliferation over time and also possibly changes in characteristics or function over time. In this review, we have classified PET IRGs/PRPs into two groups based on the source from which they were derived: human or non-human. This classification addresses the important concern of potential immunogenicity in humans, which is important for expansion of PET IRG imaging in clinical trials. We have then discussed the application of this technology in gene/cell therapy and described its use in these fields, including a summary of using PET IRGs/PRPs in gene and cell therapy clinical trials. This review concludes with a discussion of the future direction of PET IRGs/PRPs and recommends cell and gene therapists collaborate with molecular imaging experts early in their investigations to choose a PET IRG/PRP system suitable for progression into clinical trials.

  6. Human reporter genes: potential use in clinical studies

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    Serganova, Inna [Department of Neurology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021 (United States); Ponomarev, Vladimir [Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021 (United States); Blasberg, Ronald [Department of Neurology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021 (United States); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021 (United States)], E-mail: blasberg@neuro1.mskcc.org

    2007-10-15

    The clinical application of positron-emission-tomography-based reporter gene imaging will expand over the next several years. The translation of reporter gene imaging technology into clinical applications is the focus of this review, with emphasis on the development and use of human reporter genes. Human reporter genes will play an increasingly more important role in this development, and it is likely that one or more reporter systems (human gene and complimentary radiopharmaceutical) will take leading roles. Three classes of human reporter genes are discussed and compared: receptors, transporters and enzymes. Examples of highly expressed cell membrane receptors include specific membrane somatostatin receptors (hSSTrs). The transporter group includes the sodium iodide symporter (hNIS) and the norepinephrine transporter (hNET). The endogenous enzyme classification includes human mitochondrial thymidine kinase 2 (hTK2). In addition, we also discuss the nonhuman dopamine 2 receptor and two viral reporter genes, the wild-type herpes simplex virus 1 thymidine kinase (HSV1-tk) gene and the HSV1-tk mutant (HSV1-sr39tk). Initial applications of reporter gene imaging in patients will be developed within two different clinical disciplines: (a) gene therapy and (b) adoptive cell-based therapies. These studies will benefit from the availability of efficient human reporter systems that can provide critical monitoring information for adenoviral-based, retroviral-based and lenteviral-based gene therapies, oncolytic bacterial and viral therapies, and adoptive cell-based therapies. Translational applications of noninvasive in vivo reporter gene imaging are likely to include: (a) quantitative monitoring of gene therapy vectors for targeting and transduction efficacy in clinical protocols by imaging the location, extent and duration of transgene expression; (b) monitoring of cell trafficking, targeting, replication and activation in adoptive T-cell and stem/progenitor cell therapies

  7. Imaging reporter gene for monitoring gene therapy; Imagerie par gene rapporteur: un atout pour la therapie genique

    Energy Technology Data Exchange (ETDEWEB)

    Beco, V. de; Baillet, G.; Tamgac, F.; Tofighi, M.; Weinmann, P.; Vergote, J.; Moretti, J.L. [Centre Hospitalier Universitaire Avicenne, Service Central de Medecine Nucleaire et Biophysique, UPRES 2360, 93 - Bobigny (France); Tamgac, G. [Univetsite d' Uludag, Service de Medecine Nucleaire, Bursa (Turkey)

    2002-06-01

    Scintigraphic images can be obtained to document gene function at cellular level. This approach is presented here and the use of a reporter gene to monitor gene therapy is described. Two main ways are presented: either the use of a reporter gene coding for an enzyme the action of which will be monitored by radiolabeled pro-drug, or a cellular receptor gene, the action of which is documented by a radio labeled cognate receptor ligand. (author)

  8. Substrate-induced gene expression screening: a method for high-throughput screening of metagenome libraries.

    Science.gov (United States)

    Uchiyama, Taku; Miyazaki, Kentaro

    2010-01-01

    The SIGEX (substrate-induced gene expression) method is a novel approach for the screening of gene (genome) libraries. In addition to the commonly used function- and sequence-driven approaches to screening, SIGEX provides a third option; in SIGEX, positives are identified using a reporter gene, and the library is constructed using an "operon-trap" vector. This vector contains the reporter gene immediately downstream of the cloning site for the genomic insert so that the expression of the inserted gene(s) is coupled with that of the reporter gene. This system is especially suitable for screening catabolic genes that are induced in response to metabolically relevant compounds, such as substrates. If expression of the inserted gene(s) is activated in response to the addition of these compounds, then positive clones can be identified based on the reporter signal. The most effective selection is obtained by the use of a FACS (fluorescence-activated cell sorter) in conjunction with a FACS-compatible fluorescent reporter protein, such as GFP (green fluorescent protein). Activity-based screening of metagenomic libraries often suffers from low sensitivity and low throughput. In contrast, the high throughput, high sensitivity, and versatility of SIGEX make it a particularly suitable method for screening metagenomic libraries.

  9. Evaluation of biolistic gene transfer methods in vivo using non-invasive bioluminescent imaging techniques

    Directory of Open Access Journals (Sweden)

    Daniell Henry

    2011-06-01

    Full Text Available Abstract Background Gene therapy continues to hold great potential for treating many different types of disease and dysfunction. Safe and efficient techniques for gene transfer and expression in vivo are needed to enable gene therapeutic strategies to be effective in patients. Currently, the most commonly used methods employ replication-defective viral vectors for gene transfer, while physical gene transfer methods such as biolistic-mediated ("gene-gun" delivery to target tissues have not been as extensively explored. In the present study, we evaluated the efficacy of biolistic gene transfer techniques in vivo using non-invasive bioluminescent imaging (BLI methods. Results Plasmid DNA carrying the firefly luciferase (LUC reporter gene under the control of the human Cytomegalovirus (CMV promoter/enhancer was transfected into mouse skin and liver using biolistic methods. The plasmids were coupled to gold microspheres (1 μm diameter using different DNA Loading Ratios (DLRs, and "shot" into target tissues using a helium-driven gene gun. The optimal DLR was found to be in the range of 4-10. Bioluminescence was measured using an In Vivo Imaging System (IVIS-50 at various time-points following transfer. Biolistic gene transfer to mouse skin produced peak reporter gene expression one day after transfer. Expression remained detectable through four days, but declined to undetectable levels by six days following gene transfer. Maximum depth of tissue penetration following biolistic transfer to abdominal skin was 200-300 μm. Similarly, biolistic gene transfer to mouse liver in vivo also produced peak early expression followed by a decline over time. In contrast to skin, however, liver expression of the reporter gene was relatively stable 4-8 days post-biolistic gene transfer, and remained detectable for nearly two weeks. Conclusions The use of bioluminescence imaging techniques enabled efficient evaluation of reporter gene expression in vivo. Our results

  10. Computational method for discovery of estrogen responsive genes

    DEFF Research Database (Denmark)

    Tang, Suisheng; Tan, Sin Lam; Ramadoss, Suresh Kumar;

    2004-01-01

    Estrogen has a profound impact on human physiology and affects numerous genes. The classical estrogen reaction is mediated by its receptors (ERs), which bind to the estrogen response elements (EREs) in target gene's promoter region. Due to tedious and expensive experiments, a limited number...... of human genes are functionally well characterized. It is still unclear how many and which human genes respond to estrogen treatment. We propose a simple, economic, yet effective computational method to predict a subclass of estrogen responsive genes. Our method relies on the similarity of ERE frames...... across different promoters in the human genome. Matching ERE frames of a test set of 60 known estrogen responsive genes to the collection of over 18,000 human promoters, we obtained 604 candidate genes. Evaluating our result by comparison with the published microarray data and literature, we found...

  11. Gene Expression Network Reconstruction by LEP Method Using Microarray Data

    Directory of Open Access Journals (Sweden)

    Na You

    2012-01-01

    Full Text Available Gene expression network reconstruction using microarray data is widely studied aiming to investigate the behavior of a gene cluster simultaneously. Under the Gaussian assumption, the conditional dependence between genes in the network is fully described by the partial correlation coefficient matrix. Due to the high dimensionality and sparsity, we utilize the LEP method to estimate it in this paper. Compared to the existing methods, the LEP reaches the highest PPV with the sensitivity controlled at the satisfactory level. A set of gene expression data from the HapMap project is analyzed for illustration.

  12. The quality of methods reporting in parasitology experiments.

    Science.gov (United States)

    Flórez-Vargas, Oscar; Bramhall, Michael; Noyes, Harry; Cruickshank, Sheena; Stevens, Robert; Brass, Andy

    2014-01-01

    There is a growing concern both inside and outside the scientific community over the lack of reproducibility of experiments. The depth and detail of reported methods are critical to the reproducibility of findings, but also for making it possible to compare and integrate data from different studies. In this study, we evaluated in detail the methods reporting in a comprehensive set of trypanosomiasis experiments that should enable valid reproduction, integration and comparison of research findings. We evaluated a subset of other parasitic (Leishmania, Toxoplasma, Plasmodium, Trichuris and Schistosoma) and non-parasitic (Mycobacterium) experimental infections in order to compare the quality of method reporting more generally. A systematic review using PubMed (2000-2012) of all publications describing gene expression in cells and animals infected with Trypanosoma spp was undertaken based on PRISMA guidelines; 23 papers were identified and included. We defined a checklist of essential parameters that should be reported and have scored the number of those parameters that are reported for each publication. Bibliometric parameters (impact factor, citations and h-index) were used to look for association between Journal and Author status and the quality of method reporting. Trichuriasis experiments achieved the highest scores and included the only paper to score 100% in all criteria. The mean of scores achieved by Trypanosoma articles through the checklist was 65.5% (range 32-90%). Bibliometric parameters were not correlated with the quality of method reporting (Spearman's rank correlation coefficient 0.05). Our results indicate that the quality of methods reporting in experimental parasitology is a cause for concern and it has not improved over time, despite there being evidence that most of the assessed parameters do influence the results. We propose that our set of parameters be used as guidelines to improve the quality of the reporting of experimental infection models

  13. The quality of methods reporting in parasitology experiments.

    Directory of Open Access Journals (Sweden)

    Oscar Flórez-Vargas

    Full Text Available There is a growing concern both inside and outside the scientific community over the lack of reproducibility of experiments. The depth and detail of reported methods are critical to the reproducibility of findings, but also for making it possible to compare and integrate data from different studies. In this study, we evaluated in detail the methods reporting in a comprehensive set of trypanosomiasis experiments that should enable valid reproduction, integration and comparison of research findings. We evaluated a subset of other parasitic (Leishmania, Toxoplasma, Plasmodium, Trichuris and Schistosoma and non-parasitic (Mycobacterium experimental infections in order to compare the quality of method reporting more generally. A systematic review using PubMed (2000-2012 of all publications describing gene expression in cells and animals infected with Trypanosoma spp was undertaken based on PRISMA guidelines; 23 papers were identified and included. We defined a checklist of essential parameters that should be reported and have scored the number of those parameters that are reported for each publication. Bibliometric parameters (impact factor, citations and h-index were used to look for association between Journal and Author status and the quality of method reporting. Trichuriasis experiments achieved the highest scores and included the only paper to score 100% in all criteria. The mean of scores achieved by Trypanosoma articles through the checklist was 65.5% (range 32-90%. Bibliometric parameters were not correlated with the quality of method reporting (Spearman's rank correlation coefficient 0.05. Our results indicate that the quality of methods reporting in experimental parasitology is a cause for concern and it has not improved over time, despite there being evidence that most of the assessed parameters do influence the results. We propose that our set of parameters be used as guidelines to improve the quality of the reporting of experimental

  14. Cloning-free regulated monitoring of reporter and gene expression

    Directory of Open Access Journals (Sweden)

    Demirkaya Omer

    2009-03-01

    Full Text Available Abstract Background The majority of the promoters, their regulatory elements, and their variations in the human genome remain unknown. Reporter gene technology for transcriptional activity is a widely used tool for the study of promoter structure, gene regulation, and signaling pathways. Construction of transcriptional reporter vectors, including use of cis-acting sequences, requires cloning and time-demanding manipulations, particularly with introduced mutations. Results In this report, we describe a cloning-free strategy to generate transcriptionally-controllable linear reporter constructs. This approach was applied in common transcriptional models of inflammatory response and the interferon system. In addition, it was used to delineate minimal transcriptional activity of selected ribosomal protein promoters. The approach was tested for conversion of genes into TetO-inducible/repressible expression cassettes. Conclusion The simple introduction and tuning of any transcriptional control in the linear DNA product renders promoter activation and regulated gene studies simple and versatile.

  15. A Review for Detecting Gene-Gene Interactions Using Machine Learning Methods in Genetic Epidemiology

    Directory of Open Access Journals (Sweden)

    Ching Lee Koo

    2013-01-01

    Full Text Available Recently, the greatest statistical computational challenge in genetic epidemiology is to identify and characterize the genes that interact with other genes and environment factors that bring the effect on complex multifactorial disease. These gene-gene interactions are also denoted as epitasis in which this phenomenon cannot be solved by traditional statistical method due to the high dimensionality of the data and the occurrence of multiple polymorphism. Hence, there are several machine learning methods to solve such problems by identifying such susceptibility gene which are neural networks (NNs, support vector machine (SVM, and random forests (RFs in such common and multifactorial disease. This paper gives an overview on machine learning methods, describing the methodology of each machine learning methods and its application in detecting gene-gene and gene-environment interactions. Lastly, this paper discussed each machine learning method and presents the strengths and weaknesses of each machine learning method in detecting gene-gene interactions in complex human disease.

  16. A novel method to discover fluoroquinolone antibiotic resistance (qnr genes in fragmented nucleotide sequences

    Directory of Open Access Journals (Sweden)

    Boulund Fredrik

    2012-12-01

    Full Text Available Abstract Background Broad-spectrum fluoroquinolone antibiotics are central in modern health care and are used to treat and prevent a wide range of bacterial infections. The recently discovered qnr genes provide a mechanism of resistance with the potential to rapidly spread between bacteria using horizontal gene transfer. As for many antibiotic resistance genes present in pathogens today, qnr genes are hypothesized to originate from environmental bacteria. The vast amount of data generated by shotgun metagenomics can therefore be used to explore the diversity of qnr genes in more detail. Results In this paper we describe a new method to identify qnr genes in nucleotide sequence data. We show, using cross-validation, that the method has a high statistical power of correctly classifying sequences from novel classes of qnr genes, even for fragments as short as 100 nucleotides. Based on sequences from public repositories, the method was able to identify all previously reported plasmid-mediated qnr genes. In addition, several fragments from novel putative qnr genes were identified in metagenomes. The method was also able to annotate 39 chromosomal variants of which 11 have previously not been reported in literature. Conclusions The method described in this paper significantly improves the sensitivity and specificity of identification and annotation of qnr genes in nucleotide sequence data. The predicted novel putative qnr genes in the metagenomic data support the hypothesis of a large and uncharacterized diversity within this family of resistance genes in environmental bacterial communities. An implementation of the method is freely available at http://bioinformatics.math.chalmers.se/qnr/.

  17. A Brief Review of Computational Gene Prediction Methods

    Institute of Scientific and Technical Information of China (English)

    Zhuo Wang; Yazhu Chen; Yixue Li

    2004-01-01

    With the development of genome sequencing for many organisms, more and more raw sequences need to be annotated. Gene prediction by computational methods for finding the location of protein coding regions is one of the essential issues in bioinformatics. Two classes of methods are generally adopted: similarity based searches and ab initio prediction. Here, we review the development of gene prediction methods, summarize the measures for evaluating predictor quality, highlight open problems in this area, and discuss future research directions.

  18. A copula method for modeling directional dependence of genes

    Directory of Open Access Journals (Sweden)

    Park Changyi

    2008-05-01

    Full Text Available Abstract Background Genes interact with each other as basic building blocks of life, forming a complicated network. The relationship between groups of genes with different functions can be represented as gene networks. With the deposition of huge microarray data sets in public domains, study on gene networking is now possible. In recent years, there has been an increasing interest in the reconstruction of gene networks from gene expression data. Recent work includes linear models, Boolean network models, and Bayesian networks. Among them, Bayesian networks seem to be the most effective in constructing gene networks. A major problem with the Bayesian network approach is the excessive computational time. This problem is due to the interactive feature of the method that requires large search space. Since fitting a model by using the copulas does not require iterations, elicitation of the priors, and complicated calculations of posterior distributions, the need for reference to extensive search spaces can be eliminated leading to manageable computational affords. Bayesian network approach produces a discretely expression of conditional probabilities. Discreteness of the characteristics is not required in the copula approach which involves use of uniform representation of the continuous random variables. Our method is able to overcome the limitation of Bayesian network method for gene-gene interaction, i.e. information loss due to binary transformation. Results We analyzed the gene interactions for two gene data sets (one group is eight histone genes and the other group is 19 genes which include DNA polymerases, DNA helicase, type B cyclin genes, DNA primases, radiation sensitive genes, repaire related genes, replication protein A encoding gene, DNA replication initiation factor, securin gene, nucleosome assembly factor, and a subunit of the cohesin complex by adopting a measure of directional dependence based on a copula function. We have compared

  19. Computational disease gene identification : a concert of methods prioritizes type 2 diabetes and obesity candidate genes

    NARCIS (Netherlands)

    Tiffin, N.; Adie, E.; Turner, F.; Brunner, H.G.; Driel, M.A. van; Oti, M.O.; Lopez-Bigas, N.; Ouzounis, C.A.; Perez-Iratxeta, C.; Andrade-Navarro, M.A.; Adeyemo, A.; Patti, M.E.; Semple, C.A.; Hide, W.

    2006-01-01

    Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most

  20. Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

    NARCIS (Netherlands)

    Tiffin, N.; Adie, E.; Turner, F.; Brunner, H.G.; Driel, M.A. van; Oti, M.O.; Lopez-Bigas, N.; Ouzounis, C.A.; Perez-Iratxeta, C.; Andrade-Navarro, M.A.; Adeyemo, A.; Patti, M.E.; Semple, C.A.; Hide, W.

    2006-01-01

    Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most

  1. Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

    NARCIS (Netherlands)

    Tiffin, N.; Adie, E.; Turner, F.; Brunner, H.G.; Driel, M.A. van; Oti, M.O.; Lopez-Bigas, N.; Ouzounis, C.A.; Perez-Iratxeta, C.; Andrade-Navarro, M.A.; Adeyemo, A.; Patti, M.E.; Semple, C.A.; Hide, W.

    2006-01-01

    Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most li

  2. Computational disease gene identification : a concert of methods prioritizes type 2 diabetes and obesity candidate genes

    NARCIS (Netherlands)

    Tiffin, N.; Adie, E.; Turner, F.; Brunner, H.G.; Driel, M.A. van; Oti, M.O.; Lopez-Bigas, N.; Ouzounis, C.A.; Perez-Iratxeta, C.; Andrade-Navarro, M.A.; Adeyemo, A.; Patti, M.E.; Semple, C.A.; Hide, W.

    2006-01-01

    Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most li

  3. Methods for transient assay of gene function in floral tissues

    Directory of Open Access Journals (Sweden)

    Pathirana Nilangani N

    2007-01-01

    Full Text Available Abstract Background There is considerable interest in rapid assays or screening systems for assigning gene function. However, analysis of gene function in the flowers of some species is restricted due to the difficulty of producing stably transformed transgenic plants. As a result, experimental approaches based on transient gene expression assays are frequently used. Biolistics has long been used for transient over-expression of genes of interest, but has not been exploited for gene silencing studies. Agrobacterium-infiltration has also been used, but the focus primarily has been on the transient transformation of leaf tissue. Results Two constructs, one expressing an inverted repeat of the Antirrhinum majus (Antirrhinum chalcone synthase gene (CHS and the other an inverted repeat of the Antirrhinum transcription factor gene Rosea1, were shown to effectively induce CHS and Rosea1 gene silencing, respectively, when introduced biolistically into petal tissue of Antirrhinum flowers developing in vitro. A high-throughput vector expressing the Antirrhinum CHS gene attached to an inverted repeat of the nos terminator was also shown to be effective. Silencing spread systemically to create large zones of petal tissue lacking pigmentation, with transmission of the silenced state spreading both laterally within the affected epidermal cell layer and into lower cell layers, including the epidermis of the other petal surface. Transient Agrobacterium-mediated transformation of petal tissue of tobacco and petunia flowers in situ or detached was also achieved, using expression of the reporter genes GUS and GFP to visualise transgene expression. Conclusion We demonstrate the feasibility of using biolistics-based transient RNAi, and transient transformation of petal tissue via Agrobacterium infiltration to study gene function in petals. We have also produced a vector for high throughput gene silencing studies, incorporating the option of using T-A cloning to

  4. 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.

  5. Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data

    Directory of Open Access Journals (Sweden)

    He Miao

    2009-12-01

    Full Text Available Abstract Background More studies based on gene expression data have been reported in great detail, however, one major challenge for the methodologists is the choice of classification methods. The main purpose of this research was to compare the performance of linear discriminant analysis (LDA and its modification methods for the classification of cancer based on gene expression data. Methods The classification performance of linear discriminant analysis (LDA and its modification methods was evaluated by applying these methods to six public cancer gene expression datasets. These methods included linear discriminant analysis (LDA, prediction analysis for microarrays (PAM, shrinkage centroid regularized discriminant analysis (SCRDA, shrinkage linear discriminant analysis (SLDA and shrinkage diagonal discriminant analysis (SDDA. The procedures were performed by software R 2.80. Results PAM picked out fewer feature genes than other methods from most datasets except from Brain dataset. For the two methods of shrinkage discriminant analysis, SLDA selected more genes than SDDA from most datasets except from 2-class lung cancer dataset. When comparing SLDA with SCRDA, SLDA selected more genes than SCRDA from 2-class lung cancer, SRBCT and Brain dataset, the result was opposite for the rest datasets. The average test error of LDA modification methods was lower than LDA method. Conclusions The classification performance of LDA modification methods was superior to that of traditional LDA with respect to the average error and there was no significant difference between theses modification methods.

  6. COMPANY PERFORMANCE MEASUREMENT AND REPORTING METHODS

    Directory of Open Access Journals (Sweden)

    Nicu Ioana Elena

    2012-12-01

    Full Text Available One of the priorities of economic research has been and remains the re-evaluation of the notion of performance and especially exploring and finding some indicators that would reflect as accurately as possible the subtleties of the economic entity. The main purpose of this paper is to highlight the main company performance measurement and reporting methods. Performance is a concept that raises many question marks concerning the most accurate or the best method of reporting the performance at the company level. The research methodology has aimed at studying the Romanian and foreign specialized literature dealing with the analyzed field, studying magazines specialized on company performance measurement. If the financial performance measurement indicators are considered to offer an accurate image of the situation of the company, the modern approach through non-financial indicators offers a new perspective upon performance measurement, which is based on simplicity. In conclusion, after the theoretical study, I have noticed that the methods of performance measurement, reporting and interpretation are various, the opinions regarding the best performance measurement methods are contradictive and the companies prefer resorting to financial indicators that still play a more important role in the consolidation of the company performance measurement than the non-financial indicators do.

  7. 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/ .

  8. A two-cassette reporter system for assessing target gene translation and target gene product inclusion body formation

    DEFF Research Database (Denmark)

    2016-01-01

    The present invention relates to a dual cassette reporter system capable of assessing target gene translation and target gene product folding. The present invention further relates to vectors and host cells comprising the dual cassette reporter system. In addition the invention relates to the use...... of the dual cassette reporter system for assessing target gene translation and target gene product folding....

  9. Report on HOM experimental methods and code

    CERN Document Server

    Shinton, I R R; Flisgen, T

    2013-01-01

    Experimental methods and various codes used are reported on with the aim to understand the signals picked up from the higher order modes in the third harmonic cavities within the ACC39 module at FLASH. Both commercial computer codes have been used, and also codes written for the express purpose of understanding the sensitivity of the modal profiles to geometrical errors and other sources of experimental errors.

  10. GeneWaltz--A new method for reducing the false positives of gene finding

    Directory of Open Access Journals (Sweden)

    Misawa Kazuharu

    2010-09-01

    Full Text Available Abstract Background Identifying protein-coding regions in genomic sequences is an essential step in genome analysis. It is well known that the proportion of false positives among genes predicted by current methods is high, especially when the exons are short. These false positives are problematic because they waste time and resources of experimental studies. Methods We developed GeneWaltz, a new filtering method that reduces the risk of false positives in gene finding. GeneWaltz utilizes a codon-to-codon substitution matrix that was constructed by comparing protein-coding regions from orthologous gene pairs between mouse and human genomes. Using this matrix, a scoring scheme was developed; it assigned higher scores to coding regions and lower scores to non-coding regions. The regions with high scores were considered candidate coding regions. One-dimensional Karlin-Altschul statistics was used to test the significance of the coding regions identified by GeneWaltz. Results The proportion of false positives among genes predicted by GENSCAN and Twinscan were high, especially when the exons were short. GeneWaltz significantly reduced the ratio of false positives to all positives predicted by GENSCAN and Twinscan, especially when the exons were short. Conclusions GeneWaltz will be helpful in experimental genomic studies. GeneWaltz binaries and the matrix are available online at http://en.sourceforge.jp/projects/genewaltz/.

  11. 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.

  12. Investigation of the molecular relationship between breast cancer and obesity by candidate gene prioritization methods

    OpenAIRE

    Saba Garshasbi; Dariush Salimi; Abbas Doosti

    2015-01-01

    Background: Cancer and obesity are two major public health concerns. More than 12 million cases of cancer are reported annually. Many reports confirmed obesity as a risk factor for cancer. The molecular relationship between obesity and breast cancer has not been clear yet. The purpose of this study was to investigate priorities of effective genes in the molecular relationship between obesity and breast cancer. Methods: In this study, computer simulation method was used for prioritizing the ge...

  13. Evolutionary signatures amongst disease genes permit novel methods for gene prioritization and construction of informative gene-based networks.

    Directory of Open Access Journals (Sweden)

    Nolan Priedigkeit

    2015-02-01

    Full Text Available Genes involved in the same function tend to have similar evolutionary histories, in that their rates of evolution covary over time. This coevolutionary signature, termed Evolutionary Rate Covariation (ERC, is calculated using only gene sequences from a set of closely related species and has demonstrated potential as a computational tool for inferring functional relationships between genes. To further define applications of ERC, we first established that roughly 55% of genetic diseases posses an ERC signature between their contributing genes. At a false discovery rate of 5% we report 40 such diseases including cancers, developmental disorders and mitochondrial diseases. Given these coevolutionary signatures between disease genes, we then assessed ERC's ability to prioritize known disease genes out of a list of unrelated candidates. We found that in the presence of an ERC signature, the true disease gene is effectively prioritized to the top 6% of candidates on average. We then apply this strategy to a melanoma-associated region on chromosome 1 and identify MCL1 as a potential causative gene. Furthermore, to gain global insight into disease mechanisms, we used ERC to predict molecular connections between 310 nominally distinct diseases. The resulting "disease map" network associates several diseases with related pathogenic mechanisms and unveils many novel relationships between clinically distinct diseases, such as between Hirschsprung's disease and melanoma. Taken together, these results demonstrate the utility of molecular evolution as a gene discovery platform and show that evolutionary signatures can be used to build informative gene-based networks.

  14. An Efficient Low Cost Method for Gene Transfer to T Lymphocytes

    OpenAIRE

    Leonardo Chicaybam; Andressa Laino Sodre; Bianca Azevedo Curzio; Martin Hernan Bonamino

    2013-01-01

    UNLABELLED: Gene transfer to T lymphocytes has historically relied on retro and lentivirus, but recently transposon-based gene transfer is rising as a simpler and straight forward approach to achieve stable transgene expression. Transfer of expression cassettes to T lymphocytes remains challenging, being based mainly on commercial kits. AIMS: We herein report a convenient and affordable method based on in house made buffers, generic cuvettes and utilization of the widely available Lonza nucle...

  15. The human norepinephrine transporter in combination with C-11-m-hydroxyephedrine as a reporter gene/reporter probe for PET of gene therapy

    NARCIS (Netherlands)

    Buursma, A.R.; Beerens, Antoine; de Vries, E.F J; van Waarde, Aaren; Rots, Marianne; Hospers, G.A.P.; Vaalburg, W.; Haisma, H.J.

    2005-01-01

    Although the herpes simplex virus thymidine kinase gene has been frequently applied as a reporter gene for monitoring gene transfection in animals, it has some intrinsic limitations for use in humans. In our search for a reporter gene that lacks these limitations, we have evaluated the feasibility o

  16. A comparison of gene set analysis methods in terms of sensitivity, prioritization and specificity.

    Directory of Open Access Journals (Sweden)

    Adi L Tarca

    Full Text Available Identification of functional sets of genes associated with conditions of interest from omics data was first reported in 1999, and since, a plethora of enrichment methods were published for systematic analysis of gene sets collections including Gene Ontology and biological pathways. Despite their widespread usage in reducing the complexity of omics experiment results, their performance is poorly understood. Leveraging the existence of disease specific gene sets in KEGG and Metacore® databases, we compared the performance of sixteen methods under relaxed assumptions while using 42 real datasets (over 1,400 samples. Most of the methods ranked high the gene sets designed for specific diseases whenever samples from affected individuals were compared against controls via microarrays. The top methods for gene set prioritization were different from the top ones in terms of sensitivity, and four of the sixteen methods had large false positives rates assessed by permuting the phenotype of the samples. The best overall methods among those that generated reasonably low false positive rates, when permuting phenotypes, were PLAGE, GLOBALTEST, and PADOG. The best method in the category that generated higher than expected false positives was MRGSE.

  17. Investigation of the molecular relationship between breast cancer and obesity by candidate gene prioritization methods

    Directory of Open Access Journals (Sweden)

    Saba Garshasbi

    2015-10-01

    Full Text Available Background: Cancer and obesity are two major public health concerns. More than 12 million cases of cancer are reported annually. Many reports confirmed obesity as a risk factor for cancer. The molecular relationship between obesity and breast cancer has not been clear yet. The purpose of this study was to investigate priorities of effective genes in the molecular relationship between obesity and breast cancer. Methods: In this study, computer simulation method was used for prioritizing the genes that involved in the molecular links between obesity and breast cancer in laboratory of systems biology and bioinformatics (LBB, Tehran University, Tehran, Iran, from March to July 2014. In this study, ENDEAVOUR software was used for prioritizing the genes and integrating multiple data sources was used for data analysis. Training genes were selected from effective genes in obesity and/or breast cancer. Two groups of candidate genes were selected. The first group was included the existential genes in 5 common region chromosomes (between obesity and breast cancer and the second group was included the results of genes microarray data analysis of research Creighton, et al (In 2012 on patients with breast cancer. The microarray data were analyzed with GER2 software (R online software on GEO website. Finally, both training and candidate genes were entered in ENDEAVOUR software package. Results: The candidate genes were prioritized to four style and five genes in ten of the first priorities were repeated twice. In other word, the outcome of prioritizing of 72 genes (Product of microarray data analysis and genes of 5 common chromosome regions (Between obesity and breast cancer showed, 5 genes (TNFRSF10B, F2, IGFALS, NTRK3 and HSP90B1 were the priorities in the molecular connection between obesity and breast cancer. Conclusion: There are some common genes between breast cancer and obesity. So, molecular relationship is confirmed. In this study the possible effect

  18. Link-based quantitative methods to identify differentially coexpressed genes and gene Pairs

    Directory of Open Access Journals (Sweden)

    Ye Zhi-Qiang

    2011-08-01

    Full Text Available Abstract Background Differential coexpression analysis (DCEA is increasingly used for investigating the global transcriptional mechanisms underlying phenotypic changes. Current DCEA methods mostly adopt a gene connectivity-based strategy to estimate differential coexpression, which is characterized by comparing the numbers of gene neighbors in different coexpression networks. Although it simplifies the calculation, this strategy mixes up the identities of different coexpression neighbors of a gene, and fails to differentiate significant differential coexpression changes from those trivial ones. Especially, the correlation-reversal is easily missed although it probably indicates remarkable biological significance. Results We developed two link-based quantitative methods, DCp and DCe, to identify differentially coexpressed genes and gene pairs (links. Bearing the uniqueness of exploiting the quantitative coexpression change of each gene pair in the coexpression networks, both methods proved to be superior to currently popular methods in simulation studies. Re-mining of a publicly available type 2 diabetes (T2D expression dataset from the perspective of differential coexpression analysis led to additional discoveries than those from differential expression analysis. Conclusions This work pointed out the critical weakness of current popular DCEA methods, and proposed two link-based DCEA algorithms that will make contribution to the development of DCEA and help extend it to a broader spectrum.

  19. Quality of Methods Reporting in Animal Models of Colitis

    Science.gov (United States)

    Bramhall, Michael; Flórez-Vargas, Oscar; Stevens, Robert; Brass, Andy

    2015-01-01

    Background: Current understanding of the onset of inflammatory bowel diseases relies heavily on data derived from animal models of colitis. However, the omission of information concerning the method used makes the interpretation of studies difficult or impossible. We assessed the current quality of methods reporting in 4 animal models of colitis that are used to inform clinical research into inflammatory bowel disease: dextran sulfate sodium, interleukin-10−/−, CD45RBhigh T cell transfer, and 2,4,6-trinitrobenzene sulfonic acid (TNBS). Methods: We performed a systematic review based on PRISMA guidelines, using a PubMed search (2000–2014) to obtain publications that used a microarray to describe gene expression in colitic tissue. Methods reporting quality was scored against a checklist of essential and desirable criteria. Results: Fifty-eight articles were identified and included in this review (29 dextran sulfate sodium, 15 interleukin-10−/−, 5 T cell transfer, and 16 TNBS; some articles use more than 1 colitis model). A mean of 81.7% (SD = ±7.038) of criteria were reported across all models. Only 1 of the 58 articles reported all essential criteria on our checklist. Animal age, gender, housing conditions, and mortality/morbidity were all poorly reported. Conclusions: Failure to include all essential criteria is a cause for concern; this failure can have large impact on the quality and replicability of published colitis experiments. We recommend adoption of our checklist as a requirement for publication to improve the quality, comparability, and standardization of colitis studies and will make interpretation and translation of data to human disease more reliable. PMID:25989337

  20. A graphic method for identification of novel glioma related genes.

    Science.gov (United States)

    Gao, Yu-Fei; Shu, Yang; Yang, Lei; He, Yi-Chun; Li, Li-Peng; Huang, GuaHua; Li, Hai-Peng; Jiang, Yang

    2014-01-01

    Glioma, as the most common and lethal intracranial tumor, is a serious disease that causes many deaths every year. Good comprehension of the mechanism underlying this disease is very helpful to design effective treatments. However, up to now, the knowledge of this disease is still limited. It is an important step to understand the mechanism underlying this disease by uncovering its related genes. In this study, a graphic method was proposed to identify novel glioma related genes based on known glioma related genes. A weighted graph was constructed according to the protein-protein interaction information retrieved from STRING and the well-known shortest path algorithm was employed to discover novel genes. The following analysis suggests that some of them are related to the biological process of glioma, proving that our method was effective in identifying novel glioma related genes. We hope that the proposed method would be applied to study other diseases and provide useful information to medical workers, thereby designing effective treatments of different diseases.

  1. A Graphic Method for Identification of Novel Glioma Related Genes

    Directory of Open Access Journals (Sweden)

    Yu-Fei Gao

    2014-01-01

    Full Text Available Glioma, as the most common and lethal intracranial tumor, is a serious disease that causes many deaths every year. Good comprehension of the mechanism underlying this disease is very helpful to design effective treatments. However, up to now, the knowledge of this disease is still limited. It is an important step to understand the mechanism underlying this disease by uncovering its related genes. In this study, a graphic method was proposed to identify novel glioma related genes based on known glioma related genes. A weighted graph was constructed according to the protein-protein interaction information retrieved from STRING and the well-known shortest path algorithm was employed to discover novel genes. The following analysis suggests that some of them are related to the biological process of glioma, proving that our method was effective in identifying novel glioma related genes. We hope that the proposed method would be applied to study other diseases and provide useful information to medical workers, thereby designing effective treatments of different diseases.

  2. Rapid and sensitive reporter gene assays for detection of antiandrogenic and estrogenic effects of environmental chemicals

    DEFF Research Database (Denmark)

    Vinggaard, Anne; Jørgensen, E.C.B.; Larsen, John Christian

    1999-01-01

    cotransfected with the human androgen receptor expression vector and the mouse mammary tumour virus (MMTV)(2)-luciferase vector using the new nonliposomal transfection reagent FuGene, Stimulation of the cells for 24 h with the synthetic androgen receptor agonist, R1881 (10 nM), resulted in a 30- to 60-fold...... antiandrogenic chemicals present in our environment. Thus, there is a great need for an effective in vitro screening method for (anti)androgenic chemicals. We have developed a rapid, sensitive, and reproducible reporter gene assay for detection of antiandrogenic chemicals. Chinese Hamster Ovary cells were......-on laboratory time. This assay is a powerful tool for the efficient and accurate determination and quantification of the effects of antiandrogens on reporter gene transcription, To extend the application of FuGene, the reagent was shown to be superior compared to Lipofectin for transfecting MCF7 human breast...

  3. Pim-1 kinase inhibits the activation of reporter gene expression in Elk-1 and c-Fos reporting systems but not the endogenous gene expression: an artifact of the reporter gene assay by transient co-transfection

    Directory of Open Access Journals (Sweden)

    Yan B.

    2006-01-01

    Full Text Available We have studied the molecular mechanism and signal transduction of pim-1, an oncogene encoding a serine-threonine kinase. This is a true oncogene which prolongs survival and inhibits apoptosis of hematopoietic cells. In order to determine whether the effects of Pim-1 occur by regulation of the mitogen-activated protein kinase pathway, we used a transcriptional reporter assay by transient co-transfection as a screening method. In this study, we found that Pim-1 inhibited the Elk-1 and NFkappaB transcriptional activities induced by activation of the mitogen-activated protein kinase cascade in reporter gene assays. However, Western blots showed that the induction of Elk-1-regulated expression of endogenous c-Fos was not affected by Pim-1. The phosphorylation and activation of neither Erk1/2 nor Elk-1 was influenced by Pim-1. Also, in the gel shift assay, the pattern of endogenous NFkappaB binding to its probe was not changed in any manner by Pim-1. These data indicate that Pim-1 does not regulate the activation of Erk1/2, Elk-1 or NFkappaB. These contrasting results suggest a pitfall of the transient co-transfection reporter assay in analyzing the regulation of transcription factors outside of the chromosome context. It ensures that results from reporter gene expression assay should be verified by study of endogenous gene expression.

  4. Search for major genes with progeny test data to accelerate the development of genetically superior loblolly pine. Technical progress report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-02-15

    This report details the progress of the three tasks of this project. The tasks are: (1) develop genetic models and analytical methods; (2) molecular confirmation of major gene segregation; and (3) develop strategies for marker-assisted breeding.

  5. Reporter gene imaging of immune responses to cancer: progress and challenges.

    Science.gov (United States)

    Dubey, Purnima

    2012-01-01

    Immune responses to cancer are dynamic processes which take place through the concerted activity of innate and adaptive cell populations. In order to fully understand the efficacy of immune therapies for cancer, it is critical to understand how the treatment modulates the function of each cell type involved in the anti-tumor immune response. Molecular imaging is a versatile method for longitudinal studies of cellular localization and function. The development of reporter genes for tracking cell movement and function was a powerful addition to the immunologist's toolbox. This review will highlight the advances and challenges in the use of reporter gene imaging to track immune cell localization and function in cancer.

  6. Biological Education of IVFRU and FIAU for HSV1-TK Reporter Gene Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Hong, Su Hee; Kim, Eun Jung; Lee, Eun Ah; Lee, Jong Chan; Choi, Tae Hyun; Lee, Kyo Chul; An, Gwang Il; Cheon, Gi Jeong [Korea Institute of Radiological and Medical Sciences, Seoul (Korea, Republic of)

    2006-07-01

    The Herpes Simplex Virus Type1-thymidine kinase (HSV1-TK) system is a useful gene therapy monitoring method. HSV1-TK is one of the most widely used effector gene systems used for imaging gene expression, in association with its use as a reporter gene. It has resulted the development of a number of radiolabeled HSV1-TK substrates for the non-invasive detection of HSV1-TK expression. In non-invasive imaging of the HSV1-TK system, many nucleoside derivatives have been developed as prodrugs for tumor proliferation imaging or as anti-viral drugs. Prodrug activation or sucide gene therapy has been shown to be successful in potentiating the therapeutic index by sensitizing genetically modified tumor cells to various prodrugs or enhancing the action of commonly used chemotherapeutic agents. The most studied prodrug activation approaches involve transfection of tumors with HSV1-TK gene. (Z)-5-(2-iodovinyl)-2'-fluoro- 2'-deoxyuridine (IVFRU) possesses a 2'-fluoro substituent in the ribose configuration, is considered to protect IVFRU from enzyme mediated degradation in vivo. It is obviously potential substrates for HSV1-TK imaging. 2'-Fiuoro-2'-deoxy-1-{beta}-D-arabinofuranosyl- 5-iodo-uridine (FIAU), an anticancer drug widely used in clinical practice, is an analogue of thymidine. In a series of studies using adenovirus vector for gene transfer described the appropriate combination of exogenously introduced HSV1-TK as a 'marker/reporter gene' and radiolabelled FIAU as a 'marker substrate/reporter probe' for monitoring gene therapy and gene expression.

  7. Are shear force methods adequately reported?

    Science.gov (United States)

    Holman, Benjamin W B; Fowler, Stephanie M; Hopkins, David L

    2016-09-01

    This study aimed to determine the detail to which shear force (SF) protocols and methods have been reported in the scientific literature between 2009 and 2015. Articles (n=734) published in peer-reviewed animal and food science journals and limited to only those testing the SF of unprocessed and non-fabricated mammal meats were evaluated. It was found that most of these SF articles originated in Europe (35.3%), investigated bovine species (49.0%), measured m. longissimus samples (55.2%), used tenderometers manufactured by Instron (31.2%), and equipped with Warner-Bratzler blades (68.8%). SF samples were also predominantly thawed prior to cooking (37.1%) and cooked sous vide, using a water bath (50.5%). Information pertaining to blade crosshead speed (47.5%), recorded SF resistance (56.7%), muscle fibre orientation when tested (49.2%), sub-section or core dimension (21.8%), end-point temperature (29.3%), and other factors contributing to SF variation were often omitted. This base failure diminishes repeatability and accurate SF interpretation, and must therefore be rectified.

  8. SPECT imaging of cardiac reporter gene expression in living rabbits

    Institute of Scientific and Technical Information of China (English)

    LIU Ying; LAN Xiaoli; ZHANG Liang; WU Tao; JIANG Rifeng; ZHANG Yongxue

    2009-01-01

    This work is to demonstrate feasibility of imaging the expression of herpes simplex virus 1-thymidine ki-nase (HSV1-tk) reporter gene in rabbits myocardium by using the reporter probe 131I-2'-fluoro-2'-deoxy-1-β-D- arabi-nofuranosyl-5-iodouracil (131I-FIAU) and SPECT. Rabbits of the study group received intramyocardial injection of Ad5-tk and control group received aseptic saline injection. Two sets of experiments were performed on the study group. Rabbits of the 1st set were injected with 131I-FIAU 600 μCi at Day 2 after intramyocardial transfection of Ad5-tk in 1×109, 5×108, 1×108, 5×107 and 1×107 pfu, and heart SPECT imaging was done at different hours. Rabbits of the 2nd were transferred various titers of Ad5-tk (1×109, 5×108, 1×108, 5×107, 1×107 pfu) to determine the threshold and optimal viral titer needed for detection of gene expression. Two days later, 131I-FIAU was injected and heart SPECT imaging was performed at 6, 24 and 48 h, before killing them for gamma counting of the hearts. Reverse tran-scription-polymerase chain reaction (RT-PCR) was used to verify the transferred HSV1-tk gene expression. Semi-quantitative analysis derived of region of interest (ROI) of SPECT images and RT-PCR images was performed and the relationship of SPECT images with ex vivo gamma counting and mRNA level were evaluated. SPECT images conformed 131I-FIAU accumulation in rabbits injected with Ad5-tk in the anterolateral wall. The optimal images qual-ity was obtained at 24~48 h for different viral titers. The highest radioactivity in the focal myocardium was seen at 6 h, and then declined with time. The threshold was 5×107 pfu of virus titer. The result could be set better in 1~5×108 pfu by SPECT analysis and gamma counting. ROI-derived semi-quantitative study on SPECT images correlated well with ex vivo gamma counting and mRNA levels from RT-PCR analysis. The HSV1-tk/131I-FIAU reporter gene/reporter probe system is feasible for cardiac SPECT reporter gene imaging

  9. Methods for particle-mediated gene transfer into skin.

    Science.gov (United States)

    Yang, N S; McCabe, D E; Swain, W F

    1997-01-01

    During the past 5 yr, particle-mediated delivery techniques have been developed as a physical means for gene transfer into various eukaryotic systems, including plants, insects, fish, and mammals (1-7). For mammalian somatic tissues, this technology, popularly known as the gene gun method, has been shown effective in transfection of skin, liver, pancreas, muscle, spleen, and other organs in vivo (3,4); brain, mammary, and leukocyte pnmary cultures or explants ex vivo (2,5-7); and a wide range of different mammalian cell lines in vitro (3,6,7).

  10. 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.

  11. A simulation to analyze feature selection methods utilizing gene ontology for gene expression classification.

    Science.gov (United States)

    Gillies, Christopher E; Siadat, Mohammad-Reza; Patel, Nilesh V; Wilson, George D

    2013-12-01

    Gene expression profile classification is a pivotal research domain assisting in the transformation from traditional to personalized medicine. A major challenge associated with gene expression data classification is the small number of samples relative to the large number of genes. To address this problem, researchers have devised various feature selection algorithms to reduce the number of genes. Recent studies have been experimenting with the use of semantic similarity between genes in Gene Ontology (GO) as a method to improve feature selection. While there are few studies that discuss how to use GO for feature selection, there is no simulation study that addresses when to use GO-based feature selection. To investigate this, we developed a novel simulation, which generates binary class datasets, where the differentially expressed genes between two classes have some underlying relationship in GO. This allows us to investigate the effects of various factors such as the relative connectedness of the underlying genes in GO, the mean magnitude of separation between differentially expressed genes denoted by δ, and the number of training samples. Our simulation results suggest that the connectedness in GO of the differentially expressed genes for a biological condition is the primary factor for determining the efficacy of GO-based feature selection. In particular, as the connectedness of differentially expressed genes increases, the classification accuracy improvement increases. To quantify this notion of connectedness, we defined a measure called Biological Condition Annotation Level BCAL(G), where G is a graph of differentially expressed genes. Our main conclusions with respect to GO-based feature selection are the following: (1) it increases classification accuracy when BCAL(G) ≥ 0.696; (2) it decreases classification accuracy when BCAL(G) ≤ 0.389; (3) it provides marginal accuracy improvement when 0.389genes in a biological condition increases beyond 50 and

  12. Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts.

    Science.gov (United States)

    Dashtban, M; Balafar, Mohammadali

    2017-03-01

    Gene selection is a demanding task for microarray data analysis. The diverse complexity of different cancers makes this issue still challenging. In this study, a novel evolutionary method based on genetic algorithms and artificial intelligence is proposed to identify predictive genes for cancer classification. A filter method was first applied to reduce the dimensionality of feature space followed by employing an integer-coded genetic algorithm with dynamic-length genotype, intelligent parameter settings, and modified operators. The algorithmic behaviors including convergence trends, mutation and crossover rate changes, and running time were studied, conceptually discussed, and shown to be coherent with literature findings. Two well-known filter methods, Laplacian and Fisher score, were examined considering similarities, the quality of selected genes, and their influences on the evolutionary approach. Several statistical tests concerning choice of classifier, choice of dataset, and choice of filter method were performed, and they revealed some significant differences between the performance of different classifiers and filter methods over datasets. The proposed method was benchmarked upon five popular high-dimensional cancer datasets; for each, top explored genes were reported. Comparing the experimental results with several state-of-the-art methods revealed that the proposed method outperforms previous methods in DLBCL dataset. Copyright © 2017 Elsevier Inc. All rights reserved.

  13. Physical non-viral gene delivery methods for tissue engineering.

    Science.gov (United States)

    Mellott, Adam J; Forrest, M Laird; Detamore, Michael S

    2013-03-01

    The integration of gene therapy into tissue engineering to control differentiation and direct tissue formation is not a new concept; however, successful delivery of nucleic acids into primary cells, progenitor cells, and stem cells has proven exceptionally challenging. Viral vectors are generally highly effective at delivering nucleic acids to a variety of cell populations, both dividing and non-dividing, yet these viral vectors are marred by significant safety concerns. Non-viral vectors are preferred for gene therapy, despite lower transfection efficiencies, and possess many customizable attributes that are desirable for tissue engineering applications. However, there is no single non-viral gene delivery strategy that "fits-all" cell types and tissues. Thus, there is a compelling opportunity to examine different non-viral vectors, especially physical vectors, and compare their relative degrees of success. This review examines the advantages and disadvantages of physical non-viral methods (i.e., microinjection, ballistic gene delivery, electroporation, sonoporation, laser irradiation, magnetofection, and electric field-induced molecular vibration), with particular attention given to electroporation because of its versatility, with further special emphasis on Nucleofection™. In addition, attributes of cellular character that can be used to improve differentiation strategies are examined for tissue engineering applications. Ultimately, electroporation exhibits a high transfection efficiency in many cell types, which is highly desirable for tissue engineering applications, but electroporation and other physical non-viral gene delivery methods are still limited by poor cell viability. Overcoming the challenge of poor cell viability in highly efficient physical non-viral techniques is the key to using gene delivery to enhance tissue engineering applications.

  14. Comparison of methods for genomic localization of gene trap sequences

    Directory of Open Access Journals (Sweden)

    Ferrin Thomas E

    2006-09-01

    Full Text Available Abstract Background Gene knockouts in a model organism such as mouse provide a valuable resource for the study of basic biology and human disease. Determining which gene has been inactivated by an untargeted gene trapping event poses a challenging annotation problem because gene trap sequence tags, which represent sequence near the vector insertion site of a trapped gene, are typically short and often contain unresolved residues. To understand better the localization of these sequences on the mouse genome, we compared stand-alone versions of the alignment programs BLAT, SSAHA, and MegaBLAST. A set of 3,369 sequence tags was aligned to build 34 of the mouse genome using default parameters for each algorithm. Known genome coordinates for the cognate set of full-length genes (1,659 sequences were used to evaluate localization results. Results In general, all three programs performed well in terms of localizing sequences to a general region of the genome, with only relatively subtle errors identified for a small proportion of the sequence tags. However, large differences in performance were noted with regard to correctly identifying exon boundaries. BLAT correctly identified the vast majority of exon boundaries, while SSAHA and MegaBLAST missed the majority of exon boundaries. SSAHA consistently reported the fewest false positives and is the fastest algorithm. MegaBLAST was comparable to BLAT in speed, but was the most susceptible to localizing sequence tags incorrectly to pseudogenes. Conclusion The differences in performance for sequence tags and full-length reference sequences were surprisingly small. Characteristic variations in localization results for each program were noted that affect the localization of sequence at exon boundaries, in particular.

  15. Gradient Gene Algorithm: a Fast Optimization Method to MST Problem

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    The extension of Minimum Spanning Tree(MST) problem is an NP hardproblem which does not exit a polynomial time algorithm. In this paper, a fast optimizat ion method on MST problem--the Gradient Gene Algorithm is introduced. Compar ed with other evolutionary algorithms on MST problem, it is more advanced: firstly, very simple and easy to realize; then, efficient and accurate; finally general on other combination optimization problems.

  16. State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference

    Science.gov (United States)

    Al Qazlan, Tuqyah Abdullah; Kara-Mohamed, Chafia

    2015-01-01

    To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs) inference. GRNs represent causal relationships between genes that have a direct influence, trough protein production, on the life and the development of living organisms and provide a useful contribution to the understanding of the cellular functions as well as the mechanisms of diseases. Fuzzy systems are based on handling imprecise knowledge, such as biological information. They provide viable computational tools for inferring GRNs from gene expression data, thus contributing to the discovery of gene interactions responsible for specific diseases and/or ad hoc correcting therapies. Increasing computational power and high throughput technologies have provided powerful means to manage these challenging digital ecosystems at different levels from cell to society globally. The main aim of this paper is to report, present, and discuss the main contributions of this multidisciplinary field in a coherent and structured framework. PMID:25879048

  17. State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference

    Directory of Open Access Journals (Sweden)

    Tuqyah Abdullah Al Qazlan

    2015-01-01

    Full Text Available To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs inference. GRNs represent causal relationships between genes that have a direct influence, trough protein production, on the life and the development of living organisms and provide a useful contribution to the understanding of the cellular functions as well as the mechanisms of diseases. Fuzzy systems are based on handling imprecise knowledge, such as biological information. They provide viable computational tools for inferring GRNs from gene expression data, thus contributing to the discovery of gene interactions responsible for specific diseases and/or ad hoc correcting therapies. Increasing computational power and high throughput technologies have provided powerful means to manage these challenging digital ecosystems at different levels from cell to society globally. The main aim of this paper is to report, present, and discuss the main contributions of this multidisciplinary field in a coherent and structured framework.

  18. An efficient method for in vitro gene delivery via regulation of cellular endocytosis pathway

    Directory of Open Access Journals (Sweden)

    Luo J

    2015-03-01

    Full Text Available Jing Luo,1,2,* Caixia Li,3,* Jianlin Chen,1,2 Gang Wang,2 Rong Gao,1 Zhongwei Gu2 1Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, Key Laboratory for Animal Disease Prevention and Food Safety of Sichuan Province, College of Life Science, Sichuan University, Chengdu, People’s Republic of China; 2National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, People’s Republic of China; 3Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, People’s Republic of China *These authors contributed equally to this work Abstract: Transfection efficiency was the primary goal for in vitro gene delivery mediated by nonviral gene carriers. Here, we report a modified gene transfection method that could greatly increase the efficiency of, and accelerate the process mediated by, 25 kDa branched polyethyleneimine and Lipofectamine™ 2000 in a broad range of cell strains, including tumor, normal, primary, and embryonic stem cells. In this method, the combination of transfection procedure with optimized complexation volume had a determinant effect on gene delivery result. The superiorities of the method were found to be related to the change of cellular endocytosis pathway and decrease of particle size. The efficient and simple method established in this study can be widely used for in vitro gene delivery into cultured cells. We think it may also be applicable for many more nonviral gene delivery materials than polyethyleneimine and liposome. Keywords: gene delivery, gene expression, endocytosis, polyethyleneimine, Lipofectamine™ 2000

  19. hNIS-IRES-eGFP Dual Reporter Gene Imaging

    Directory of Open Access Journals (Sweden)

    Jiantu Che

    2005-04-01

    Full Text Available The human and rodent sodium iodide symporters (NIS have recently been cloned and are being investigated as potential therapeutic and reporter genes. We have extended this effort by constructing an internal ribosomal entry site (IRES-linked human NIS (hNIS-enhanced green fluorescent protein (eGFP hybrid reporter gene for both nuclear and optical imaging. A self-inactivating retroviral vector, termed pQCNIG, containing hNIS-IRES-eGFP dual reporter gene, driven by a constitutive CMV promoter, was constructed and used to generate RG2-pQCNIG cells and RG2-pQCNIG tumors. 131I-iodide and 99mTcO4-pertechnetate accumulation studies plus fluorescence microscopy and intensity assays were performed in vitro, and gamma camera imaging studies in RG2-pQCNIG and RG2 tumor-bearing athymic rats were performed. RG2-pQCNIG cells expressed high levels of hNIS protein and showed high intensity of eGFP fluorescence compared with RG2 wild-type cells. RG2-pQCNIG cells accumulated Na131I and 99mTcO4– to a 50:1 and a 170:1 tissue/medium ratio at 10 min, compared with 0.8:1.2 tissue/medium ratio in wild-type RG2 cells. A significant correlation between radiotracer accumulation and eGFP fluorescence intensity was demonstrated. RG2-pQCNIG and RG2 tumors were readily differentiated by in vivo gamma camera imaging; radiotracer uptake increased in RG2-pQCNIG but declined in RG2 tumors over the 50-min imaging period. Stomach and thyroid were the major organs of radionuclide accumulation. The IRES-linked hNIS-eGFP dual reporter gene is functional and stable in transduced RG2-pQCNIG cells. Optical and nuclear imaging of tumors produced from these cell lines provides the opportunity to monitor tumor growth and response to therapy. These studies indicate the potential for a wider application of hNIS reporter imaging and translation into patient studies using radioisotopes that are currently available for human use for both SPECT and PET imaging.

  20. Intestinal lactase as an autologous beta-galactosidase reporter gene for in vivo gene expression studies.

    Science.gov (United States)

    Salehi, Siamak; Eckley, Lorna; Sawyer, Greta J; Zhang, Xiaohong; Dong, Xuebin; Freund, Jean-Noel; Fabre, John W

    2009-01-01

    Intestinal lactase has potential as an autologous beta-galactosidase reporter gene for long-term gene expression studies in vivo, using chromogenic, luminescent, and fluorogenic substrates developed for Escherichia coli beta-galactosidase. In normal rat tissues, reactivity with a chromogenic fucopyranoside (X-Fuc, the preferred substrate of lactase) was present only at the lumenal surface of small intestine epithelial cells. Full-length lactase (domains I-IV), mature lactase (domains III and IV), and a cytosolic form of mature lactase (domains III and IV, without the signal sequence or transmembrane region) were evaluated. Transfection of HuH-7 cells in vitro, and hydrodynamic gene delivery to the liver in vivo, resulted in excellent gene expression. The full-length and mature (homodimeric, membrane-bound) forms reacted strongly with X-Fuc but not with the corresponding galactopyranoside (X-Gal). However, the presumptively monomeric cytosolic lactase unexpectedly reacted equally well with both substrates. The fluorogenic substrate fluorescein-di-beta-D-galactopyranoside was cleaved by cytosolic lactase, but not by full-length or mature lactase. Full-length lactase, when expressed ectopically in hepatocytes in vivo, localized exclusively to the bile canalicular membrane. Intestinal lactase is highly homologous in mice, rats, and humans and has considerable potential for evaluating long-term gene expression in experimental animals and the clinic.

  1. Multiplex cDNA quantification method that facilitates the standardization of gene expression data

    Science.gov (United States)

    Gotoh, Osamu; Murakami, Yasufumi; Suyama, Akira

    2011-01-01

    Microarray-based gene expression measurement is one of the major methods for transcriptome analysis. However, current microarray data are substantially affected by microarray platforms and RNA references because of the microarray method can provide merely the relative amounts of gene expression levels. Therefore, valid comparisons of the microarray data require standardized platforms, internal and/or external controls and complicated normalizations. These requirements impose limitations on the extensive comparison of gene expression data. Here, we report an effective approach to removing the unfavorable limitations by measuring the absolute amounts of gene expression levels on common DNA microarrays. We have developed a multiplex cDNA quantification method called GEP-DEAN (Gene expression profiling by DCN-encoding-based analysis). The method was validated by using chemically synthesized DNA strands of known quantities and cDNA samples prepared from mouse liver, demonstrating that the absolute amounts of cDNA strands were successfully measured with a sensitivity of 18 zmol in a highly multiplexed manner in 7 h. PMID:21415008

  2. Multimodality imaging of reporter gene expression using a novel fusion vector in living cells and animals

    Science.gov (United States)

    Gambhir; Sanjiv , Pritha; Ray

    2009-04-28

    Novel double and triple fusion reporter gene constructs harboring distinct imageable reporter genes are provided, as well as applications for the use of such double and triple fusion constructs in living cells and in living animals using distinct imaging technologies.

  3. Optimization of reporter gene assay: several factors influencing detection of promoter activity

    Institute of Scientific and Technical Information of China (English)

    XUE Li-xiang; WENG Mo; ZHANG Zong-yu; TONG Tan-jun

    2007-01-01

    Background Promoter analysis is currently applied to detect the expression of the targeted gene in studies of signal transduction and transcriptional regulation. As a reporter gene, luciferase plays an important role and has been used widely in the promoter assay.Methods Human embryonic lung fibroblast cells (2BS), HeLa cells and MCF-7 cells were transfected with various genes embedded by lipofectamine. This study determined various factors that affect promoter activity determination,such as the selection of the reporter genes and internal references, the dose and the type of the vectors carrying the transcription factors, the host cells and the instruments.Results The sensitivity of the luciferase assay was much higher than that of enhanced green fluorescence protein (EGFP). Moreover, promoter activity is increased in a dose-related manner only in certain ranges outside of which the results may be reversed and the promoter activity is related to the expression vector which is carrying the cDNA.Otherwise, the length of the promoter, internal references and the host cell can also influence the promoter activity.Conclusions To detect the promoter activity accurately, a few factors including dose, vector, length and host cell which influence reporter gene assay aforementioned should be considered.

  4. Manufacturing Methods and Technology Project Summary Reports.

    Science.gov (United States)

    1980-12-01

    as high speed machining. Except for the abrasive aluminum alloys like A356 which must be machined with carbide, either carbide or high speed steel...Shear Forging Processes for Missile 82 Primary Structure Project 376 3230 - Manufacturing Methods for High Speed Machining of 85 Aluminum Project 376 3231...Production Methods for Squeeze Castings 88 Projects 471 4312 and 472 4312 - Hard Face Coating to Aluminum Com- 91 ponents Project 576 6759

  5. Reporting and methods in clinical prediction research: A systematic review

    NARCIS (Netherlands)

    W. Bouwmeester (Walter); N.P.A. Zuithoff (Nicolaas P.); S. Mallett (Susan); M.I. Geerlings (Miriam); Y. Vergouwe (Yvonne); E.W. Steyerberg (Ewout); D.G. Altman (Douglas); K.G.M. Moons (Karel)

    2012-01-01

    textabstractBackground: We investigated the reporting and methods of prediction studies, focusing on aims, designs, participant selection, outcomes, predictors, statistical power, statistical methods, and predictive performance measures. Methods and Findings: We used a full hand search to identify a

  6. A novel hypothesis-unbiased method for Gene Ontology enrichment based on transcriptome data.

    Science.gov (United States)

    Fruzangohar, Mario; Ebrahimie, Esmaeil; Adelson, David L

    2017-01-01

    Gene Ontology (GO) classification of statistically significantly differentially expressed genes is commonly used to interpret transcriptomics data as a part of functional genomic analysis. In this approach, all significantly expressed genes contribute equally to the final GO classification regardless of their actual expression levels. Gene expression levels can significantly affect protein production and hence should be reflected in GO term enrichment. Genes with low expression levels can also participate in GO term enrichment through cumulative effects. In this report, we have introduced a new GO enrichment method that is suitable for multiple samples and time series experiments that uses a statistical outlier test to detect GO categories with special patterns of variation that can potentially identify candidate biological mechanisms. To demonstrate the value of our approach, we have performed two case studies. Whole transcriptome expression profiles of Salmonella enteritidis and Alzheimer's disease (AD) were analysed in order to determine GO term enrichment across the entire transcriptome instead of a subset of differentially expressed genes used in traditional GO analysis. Our result highlights the key role of inflammation related functional groups in AD pathology as granulocyte colony-stimulating factor receptor binding, neuromedin U binding, and interleukin were remarkably upregulated in AD brain when all using all of the gene expression data in the transcriptome. Mitochondrial components and the molybdopterin synthase complex were identified as potential key cellular components involved in AD pathology.

  7. A novel hypothesis-unbiased method for Gene Ontology enrichment based on transcriptome data

    Science.gov (United States)

    Fruzangohar, Mario; Ebrahimie, Esmaeil; Adelson, David L.

    2017-01-01

    Gene Ontology (GO) classification of statistically significantly differentially expressed genes is commonly used to interpret transcriptomics data as a part of functional genomic analysis. In this approach, all significantly expressed genes contribute equally to the final GO classification regardless of their actual expression levels. Gene expression levels can significantly affect protein production and hence should be reflected in GO term enrichment. Genes with low expression levels can also participate in GO term enrichment through cumulative effects. In this report, we have introduced a new GO enrichment method that is suitable for multiple samples and time series experiments that uses a statistical outlier test to detect GO categories with special patterns of variation that can potentially identify candidate biological mechanisms. To demonstrate the value of our approach, we have performed two case studies. Whole transcriptome expression profiles of Salmonella enteritidis and Alzheimer’s disease (AD) were analysed in order to determine GO term enrichment across the entire transcriptome instead of a subset of differentially expressed genes used in traditional GO analysis. Our result highlights the key role of inflammation related functional groups in AD pathology as granulocyte colony-stimulating factor receptor binding, neuromedin U binding, and interleukin were remarkably upregulated in AD brain when all using all of the gene expression data in the transcriptome. Mitochondrial components and the molybdopterin synthase complex were identified as potential key cellular components involved in AD pathology. PMID:28199395

  8. 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.

  9. A HOMOLOGOUS GENE-REPORTER SYSTEM FOR THE BASIDIOMYCETE SCHIZOPHYLLUM-COMMUNE BASED ON INTERNALLY DELETED HOMOLOGOUS GENES

    NARCIS (Netherlands)

    SCHUREN, FHJ; HARMSEN, MC; WESSELS, JGH

    Problems encountered in our attempts to achieve expression of heterologous genes, driven by ascomycetous regulatory sequences, in homobasidiomycetes led us to develop a gene-reporter system based on the expression of homologous genes in Schizophyllum commune. Internal deletions were made in the

  10. Method-MS, final report 2010

    DEFF Research Database (Denmark)

    Skipperud, Lindis; Popic, Jelena M.; Roos, Per

    (AMS) have shown several advantages compared to traditional methods when measuring long-lived radionuclides. Mass spectrometric methods for determination of very low concentrations of elemental isotopes, and thereby isotopic ratios, have been developed using a variety of ion sources. Although primarily...... applied to the determination of the lighter stable element isotopes and radioactive isotopes in geological studies, the techniques can equally well be applied to the measurement of activity concentrations of long-lived low-level radionuclides in various samples using “isotope dilution” methods...... such as those applied in inductively coupled plasma mass spectrometry (ICP-MS). Due to the low specific activity of long-lived radionuclides, many of these are more conveniently detected using mass spectrometric techniques. Mass spectrometry also enables the individual determination of Pu-239 and Pu-240, which...

  11. Report on tool transfer and alignment methods

    DEFF Research Database (Denmark)

    Tosello, Guido; Gasparin, Stefania; De Grave, Arnaud;

    2010-01-01

    the accuracy of the hybrid tooling process chain with a focus on the part transfer and re-position of different machining chains have not been addressed thoroughly and are the topic of Task 2.2.3 “Tool transfer for hybrid manufacturing”. First results are presented in this report, focussing on a specific......In the last few years, research work has been carried out regarding the feature miniaturization and tooling performance achievable with specific process chains combining different micro machining processes. On the other hand, technologies, strategies and tool design rules in order to optimize...

  12. 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

  13. Nailfold capillaroscopic report: qualitative and quantitative methods

    Directory of Open Access Journals (Sweden)

    S. Zeni

    2011-09-01

    Full Text Available Nailfold capillaroscopy (NVC is a simple and non-invasive method used for the assessment of patients with Raynaud’s phenomenon (RP and in the differential diagnosis of various connective tissue diseases. The scleroderma pattern abnormalities (giant capillaries, haemorrages and/or avascular areas have a positive predictive value for the development of scleroderma spectrum disorders. Thus, an analytical approach to nailfold capillaroscopy can be useful in quantitatively and reproducibly recording various parameters. We developed a new method to assess patients with RP that is capable of predicting the 5-year transition from isolated RP to RP secondary to scleroderma spectrum disorders. This model is a weighted combination of different capillaroscopic parameters (giant capillaries, microhaemorrages, number of capillaries that allows physicians to stratify RP patients easily using a relatively simple diagram to deduce prognosis.

  14. The development and application of a multiple gene co-silencing system using endogenous URA3 as a reporter gene in Ganoderma lucidum.

    Directory of Open Access Journals (Sweden)

    Dashuai Mu

    Full Text Available Ganoderma lucidum is one of the most important medicinal mushrooms; however, molecular genetics research on this species has been limited due to a lack of reliable reverse genetic tools. In this study, the endogenous orotidine 5'-monophosphate decarboxylase gene (URA3 was cloned as a silencing reporter, and four gene-silencing methods using hairpin, sense, antisense, and dual promoter constructs, were introduced into G. lucidum through a simple electroporation procedure. A comparison and evaluation of silencing efficiency demonstrated that all of the four methods differentially suppressed the expression of URA3. Our data unequivocally indicate that the dual promoter silencing vector yields the highest rate of URA3 silencing compared with other vectors (up to 81.9%. To highlight the advantages of the dual promoter system, we constructed a co-silencing system based on the dual promoter method and succeeded in co-silencing URA3 and laccase in G. lucidum. The reduction of the mRNA levels of the two genes were correlated. Thus, the screening efficiency for RNAi knockdown of multiple genes may be improved by the co-silencing of an endogenous reporter gene. The molecular tools developed in this study should facilitate the isolation of genes and the characterization of the functions of multiple genes in this pharmaceutically important species, and these tools should be highly useful for the study of other basidiomycetes.

  15. An algebra-based method for inferring gene regulatory networks.

    Science.gov (United States)

    Vera-Licona, Paola; Jarrah, Abdul; Garcia-Puente, Luis David; McGee, John; Laubenbacher, Reinhard

    2014-03-26

    The inference of gene regulatory networks (GRNs) from experimental observations is at the heart of systems biology. This includes the inference of both the network topology and its dynamics. While there are many algorithms available to infer the network topology from experimental data, less emphasis has been placed on methods that infer network dynamics. Furthermore, since the network inference problem is typically underdetermined, it is essential to have the option of incorporating into the inference process, prior knowledge about the network, along with an effective description of the search space of dynamic models. Finally, it is also important to have an understanding of how a given inference method is affected by experimental and other noise in the data used. This paper contains a novel inference algorithm using the algebraic framework of Boolean polynomial dynamical systems (BPDS), meeting all these requirements. The algorithm takes as input time series data, including those from network perturbations, such as knock-out mutant strains and RNAi experiments. It allows for the incorporation of prior biological knowledge while being robust to significant levels of noise in the data used for inference. It uses an evolutionary algorithm for local optimization with an encoding of the mathematical models as BPDS. The BPDS framework allows an effective representation of the search space for algebraic dynamic models that improves computational performance. The algorithm is validated with both simulated and experimental microarray expression profile data. Robustness to noise is tested using a published mathematical model of the segment polarity gene network in Drosophila melanogaster. Benchmarking of the algorithm is done by comparison with a spectrum of state-of-the-art network inference methods on data from the synthetic IRMA network to demonstrate that our method has good precision and recall for the network reconstruction task, while also predicting several of the

  16. Method for the single step introduction of a plurality of genes in microbial cells

    NARCIS (Netherlands)

    Straat, van der L.; Graaff, de L.H.

    2015-01-01

    The invention provides a method for producing a vector for introducing a plurality of genes into a host cell, the method comprising the steps of: a) providing for each gene of the plurality of genes, a DNA fragment comprising an expression cassette for expression of the gene in the host cell, wherei

  17. Study of rat neuronal genes with ordered differential display method

    Institute of Scientific and Technical Information of China (English)

    KANG; Jiansheng; (

    2001-01-01

    [1]Wang, Y., Du, Z. W., eds., Neurobiology and Molecular Biology, Beijing: People's Medical Publishing House, 1997, 184-207, 244-248.[2]Liang, P., Pardee, A., Differential display of eukaryotic messenger RNA by means of the polymerase chain reaction, Science, 1992, 257: 967-971.[3]Michiels, L., Van Leuven, F., van den Oord, J. J. et al., Representational difference analysis using minute quantities of DNA, Nucleic Acids Res., 1998, 26(15): 3608-3610.[4]Diatchenko, L., Lau, Y. F., Campbell, A. P. et al., Suppression subtractive hybridization: a method for generating differentially regulated or tissue-specific cDNA probes and libraries, Proc. Natl. Acad. Sci. USA, 1996, 93(12): 6025-6030.[5]Matz, M., Lukyanov, S., Different strategies of differential display: areas of application, Nucleic Acids Res., 1998, 26: 5537-5543.[6]Matz, M., Usman, N., Shagin, D. et al., Ordered differential display: a simple method for systematic comparison of gene expression profiles, Nucleic Acids Res, 1997, 25: 2541-2542.[7]Chen, X. X., Guan, L. C., Bao, S. M. et al., Comparison and study of memory and open field behavior of four different mouse strain, Psychological Science, 1994, 17(1): 39-41.[8]Chapman, C. R., Casey, K. L., Dubner, R. et al., Pain measurement: an overview, Pain, 1985, 22: 1-31.[9]Mitchell, .D., Hellon, R. F., Neuronal and behavioral responses in rats during noxious stimulation of the tail, Proc. R. Soc. Lond., 1977, 197: 169-194.[10]Shen, Y., Yan, Y. S., eds., Medical Statistics, Shanghai: Shanghai Medical University Press, 1999, 39-44.[11]Kang, J. S., Li, R. X., Du, Y. C., Ordered differential display, Chemistry of Life, 1999, 19(6): 282-283.[12]Mou, L., Miller, H., Li, J. et al., Improvements to the differential display method for gene analysis, Biochem. Biophys. Res. Commun., 1994, 199: 564-569.[13]Lee, H. N., Weinstock, K. G., Kirkness, E. F. et al., Comparative expressed-sequence-tag analysis of differential gene

  18. A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction.

    Science.gov (United States)

    Jung, Hye-Young; Leem, Sangseob; Lee, Sungyoung; Park, Taesung

    2016-12-01

    Gene-gene interaction (GGI) is one of the most popular approaches for finding the missing heritability of common complex traits in genetic association studies. The multifactor dimensionality reduction (MDR) method has been widely studied for detecting GGIs. In order to identify the best interaction model associated with disease susceptibility, MDR compares all possible genotype combinations in terms of their predictability of disease status from a simple binary high(H) and low(L) risk classification. However, this simple binary classification does not reflect the uncertainty of H/L classification. We regard classifying H/L as equivalent to defining the degree of membership of two risk groups H/L. By adopting the fuzzy set theory, we propose Fuzzy MDR which takes into account the uncertainty of H/L classification. Fuzzy MDR allows the possibility of partial membership of H/L through a membership function which transforms the degree of uncertainty into a [0,1] scale. The best genotype combinations can be selected which maximizes a new fuzzy set based accuracy measure. Two simulation studies are conducted to compare the power of the proposed Fuzzy MDR with that of MDR. Our results show that Fuzzy MDR has higher power than MDR. We illustrate the proposed Fuzzy MDR by analysing bipolar disorder (BD) trait of the WTCCC dataset to detect GGI associated with BD. We propose a novel Fuzzy MDR method to detect gene-gene interaction by taking into account the uncertainly of H/L classification and show that it has higher power than MDR. Fuzzy MDR can be easily extended to handle continuous phenotypes as well. The program written in R for the proposed Fuzzy MDR is available at https://statgen.snu.ac.kr/software/FuzzyMDR. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. A rapid and efficient method to express target genes in mammalian cells by baculovirus

    Institute of Scientific and Technical Information of China (English)

    Tong Cheng; Chen-Yu Xu; Ying-Bin Wang; Min Chen; Ting Wu; Jun Zhang; Ning-Shao Xia

    2004-01-01

    AIM: To investigate the modification of baculovirus vector and the feasibility of delivering exogenous genes into mammalian cells with the culture supernatant of Spodoptera frugiperta (Sf9) cells infected by recombinant baculoviruses.METHODS: Two recombinant baculoviruses (BacV-CMVEGFPA, BacV-CMV-EGFPB) containing CMV-EGFP expression cassette were constructed. HepG2 cells were directly incubated with the culture supernatant of Sf9 cells infected by recombinant baculoviruses, and reporter gene transfer and expression efficiencies were analyzed by flow cytometry (FCM). The optimal transduction conditions were investigated by FCM assay in HepG2 cells. Gene-transfer and expression efficiencies in HepG2 or CV1 cells by baculovirus vectors were compared with lipofectAMINE, recombinant retrovirus and vaccinia virus expression systems. Twenty different mammalian cell lines were used to investigate the feasibility of delivering exogenous genes into different mammalian cells with the culture supernatant of infected Sf9 cells.RESULTS: CMV promoter could directly express reporter genes in Sf9 cells with a relatively low efficiency. Target cells incubated with the 1:1 diluted culture supernatant (moi=50) for 12 h at 37 ℃ could achieve the highest transduction and expression efficiencies with least impairment to cell viability. Under similar conditions the baculovirus vector could achieve the highest gene-transfer and expression efficiency than lipofectAMINE, recombinant retrovirus and vaccinia virus expression systems. Most mammalian cell lines could be transduced with recombinant baculovirus. In primate adherent culture cells the recombinant baculovirus could arrive the highest infection and expression efficiencies, but it was not very satisfactory in the cell lines from mice and suspended culture cells.CONCLUSION: Mammalian cells incubated with the culture supernatant of infected Sf9 cells could serve as a very convenient way for rapid and efficient expression of foreign

  20. An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors

    Directory of Open Access Journals (Sweden)

    Azuaje Francisco

    2006-06-01

    Full Text Available Abstract Background The analysis of large-scale gene expression data is a fundamental approach to functional genomics and the identification of potential drug targets. Results derived from such studies cannot be trusted unless they are adequately designed and reported. The purpose of this study is to assess current practices on the reporting of experimental design and statistical analyses in gene expression-based studies. Methods We reviewed hundreds of MEDLINE-indexed papers involving gene expression data analysis, which were published between 2003 and 2005. These papers were examined on the basis of their reporting of several factors, such as sample size, statistical power and software availability. Results Among the examined papers, we concentrated on 293 papers consisting of applications and new methodologies. These papers did not report approaches to sample size and statistical power estimation. Explicit statements on data transformation and descriptions of the normalisation techniques applied prior to data analyses (e.g. classification were not reported in 57 (37.5% and 104 (68.4% of the methodology papers respectively. With regard to papers presenting biomedical-relevant applications, 41(29.1 % of these papers did not report on data normalisation and 83 (58.9% did not describe the normalisation technique applied. Clustering-based analysis, the t-test and ANOVA represent the most widely applied techniques in microarray data analysis. But remarkably, only 5 (3.5% of the application papers included statements or references to assumption about variance homogeneity for the application of the t-test and ANOVA. There is still a need to promote the reporting of software packages applied or their availability. Conclusion Recently-published gene expression data analysis studies may lack key information required for properly assessing their design quality and potential impact. There is a need for more rigorous reporting of important experimental

  1. Novel Mutations in the CLCN1 Gene of Myotonia Congenita: 2 Case Reports

    Science.gov (United States)

    Lakraj, Amanda Amrita; Miller, Geoffrey; Vortmeyer, Alexander O.; Khokhar, Babar; Nowak, Richard J.; DiCapua, Daniel B.

    2013-01-01

    Introduction: Myotonia Congenita is an inherited myotonia that is due to a mutation in the skeletal muscle chloride channel CLCN1. These mutations lead to reduced sarcolemmal chloride conductance, causing delayed muscle relaxation that is evident as clinical and electrical myotonia. Methods: We report the clinical presentations of two individuals with Myotonia Congenita (MC). Results: Patient 1 has been diagnosed with the recessive form of MC, known as the Becker variant, and Patient 2 has been diagnosed with the dominant form of MC, known as the Thomsen variant. In both patients, the diagnosis was made based on the clinical presentation, EMG and CLCN1 gene sequencing. Patient 1 also had a muscle biopsy. Conclusions: Genetic testing in both patients reveals previously unidentified mutations in the CLCN1 gene specific to Myotonia Congenita. We report the salient clinical features of each patient and discuss the effects and common types of CLCN1 mutations and review the literature. PMID:23483815

  2. Clustering based gene expression feature selection method: A computational approach to enrich the classifier efficiency of differentially expressed genes

    KAUST Repository

    Abusamra, Heba

    2016-07-20

    The native nature of high dimension low sample size of gene expression data make the classification task more challenging. Therefore, feature (gene) selection become an apparent need. Selecting a meaningful and relevant genes for classifier not only decrease the computational time and cost, but also improve the classification performance. Among different approaches of feature selection methods, however most of them suffer from several problems such as lack of robustness, validation issues etc. Here, we present a new feature selection technique that takes advantage of clustering both samples and genes. Materials and methods We used leukemia gene expression dataset [1]. The effectiveness of the selected features were evaluated by four different classification methods; support vector machines, k-nearest neighbor, random forest, and linear discriminate analysis. The method evaluate the importance and relevance of each gene cluster by summing the expression level for each gene belongs to this cluster. The gene cluster consider important, if it satisfies conditions depend on thresholds and percentage otherwise eliminated. Results Initial analysis identified 7120 differentially expressed genes of leukemia (Fig. 15a), after applying our feature selection methodology we end up with specific 1117 genes discriminating two classes of leukemia (Fig. 15b). Further applying the same method with more stringent higher positive and lower negative threshold condition, number reduced to 58 genes have be tested to evaluate the effectiveness of the method (Fig. 15c). The results of the four classification methods are summarized in Table 11. Conclusions The feature selection method gave good results with minimum classification error. Our heat-map result shows distinct pattern of refines genes discriminating between two classes of leukemia.

  3. Retinoic acid-mediated gene expression in transgenic reporter zebrafish.

    Science.gov (United States)

    Perz-Edwards, A; Hardison, N L; Linney, E

    2001-01-01

    Retinoic acid-mediated gene activation is important for normal vertebrate development. The size and nature of retinoic acid make it difficult to identify the precise cellular location of this signaling molecule throughout an embryo. Additionally, retinoic acid (RA) signaling is regulated by a complex combination of receptors, coactivators, and antagonizing proteins. Thus, in order to integrate these signals and identify regions within a whole developing embryo where cells can respond transcriptionally to retinoic acid, we have used a reporter transgenic approach. We have generated several stable lines of transgenic zebrafish which use retinoic acid response elements to drive fluorescent protein expression. In these zebrafish lines, transgene expression is localized to regions of the neural tube, retina, notochord, somites, heart, pronephric ducts, branchial arches, and jaw muscles in embryos and larvae. Transgene expression can be induced in additional regions of the neural tube and retina as well as the immature notochord, hatching gland, enveloping cell layer, and fin by exposing embryos to retinoic acid. Treatment with retinoic acid synthase inhibitors, citral and diethylaminobenzaldehyde (DEAB), during neurulation, greatly reduces transgene expression. DEAB treatment of embryos at gastrulation phenocopies the embryonic effects of vitamin A deprivation or targeted disruption of the RA synthase retinaldehyde dehydrogenase-2 in other vertebrates. Together these data suggest that the reporter expression we see in zebrafish is dependent upon conserved vertebrate pathways of RA synthesis.

  4. Non-parametric change-point method for differential gene expression detection.

    Directory of Open Access Journals (Sweden)

    Yao Wang

    Full Text Available BACKGROUND: We proposed a non-parametric method, named Non-Parametric Change Point Statistic (NPCPS for short, by using a single equation for detecting differential gene expression (DGE in microarray data. NPCPS is based on the change point theory to provide effective DGE detecting ability. METHODOLOGY: NPCPS used the data distribution of the normal samples as input, and detects DGE in the cancer samples by locating the change point of gene expression profile. An estimate of the change point position generated by NPCPS enables the identification of the samples containing DGE. Monte Carlo simulation and ROC study were applied to examine the detecting accuracy of NPCPS, and the experiment on real microarray data of breast cancer was carried out to compare NPCPS with other methods. CONCLUSIONS: Simulation study indicated that NPCPS was more effective for detecting DGE in cancer subset compared with five parametric methods and one non-parametric method. When there were more than 8 cancer samples containing DGE, the type I error of NPCPS was below 0.01. Experiment results showed both good accuracy and reliability of NPCPS. Out of the 30 top genes ranked by using NPCPS, 16 genes were reported as relevant to cancer. Correlations between the detecting result of NPCPS and the compared methods were less than 0.05, while between the other methods the values were from 0.20 to 0.84. This indicates that NPCPS is working on different features and thus provides DGE identification from a distinct perspective comparing with the other mean or median based methods.

  5. Identification of genes in anonymous DNA sequences. Final report: Report period, 15 April 1993--15 April 1994

    Energy Technology Data Exchange (ETDEWEB)

    Fields, C.A.

    1994-09-01

    This Report concludes the DOE Human Genome Program project, ``Identification of Genes in Anonymous DNA Sequence.`` The central goals of this project have been (1) understanding the problem of identifying genes in anonymous sequences, and (2) development of tools, primarily the automated identification system gm, for identifying genes. The activities supported under the previous award are summarized here to provide a single complete report on the activities supported as part of the project from its inception to its completion.

  6. Structured Reporting Method for ePR Generation

    Directory of Open Access Journals (Sweden)

    Arash Ebrahimi

    2007-08-01

    Full Text Available Appropriate electronic medical report-making soft-wares help physicians to personally generate records for paper printing and ePR access. Flat data-sheets with check-boxes that have been already used in traditional medical paper reports, do not satisfy today's physician demands for more professional reports."nAlternatively, Structured Reporting (SR as the modified version of flat check-box based reporting method is being selected. In this method, items are nested in a hieratical tree so that each reporting item includes several substitutions. Hence, computer generates professional sentences with logical pre-defined combination of selected items. In our work, on the basis of SR method, we provided solution for reporting of Endoscopy procedures that is accepted by several Gastroenterologists as a proper software. In addi-tion, successful results in generation of ePRs using SR are newly achieved in Cardiology.

  7. A collection of bioconductor methods to visualize gene-list annotations

    Directory of Open Access Journals (Sweden)

    Kibbe Warren A

    2010-01-01

    Full Text Available Abstract Background Gene-list annotations are critical for researchers to explore the complex relationships between genes and functionalities. Currently, the annotations of a gene list are usually summarized by a table or a barplot. As such, potentially biologically important complexities such as one gene belonging to multiple annotation categories are difficult to extract. We have devised explicit and efficient visualization methods that provide intuitive methods for interrogating the intrinsic connections between biological categories and genes. Findings We have constructed a data model and now present two novel methods in a Bioconductor package, "GeneAnswers", to simultaneously visualize genes, concepts (a.k.a. annotation categories, and concept-gene connections (a.k.a. annotations: the "Concept-and-Gene Network" and the "Concept-and-Gene Cross Tabulation". These methods have been tested and validated with microarray-derived gene lists. Conclusions These new visualization methods can effectively present annotations using Gene Ontology, Disease Ontology, or any other user-defined gene annotations that have been pre-associated with an organism's genome by human curation, automated pipelines, or a combination of the two. The gene-annotation data model and associated methods are available in the Bioconductor package called "GeneAnswers " described in this publication.

  8. Preliminary Report of Molecular Detection of Retinoblastoma Gene Mutations

    Institute of Scientific and Technical Information of China (English)

    1994-01-01

    To develop gene diagnosis for retinoblastoma predisposition, it is necessary to disclose the retinoblastoma gene mutations or deletions in detail. Genomic DNA from tumor and peripheral white blood cells in 33 patients with retinoblastoma was detected with 3.8kb probe derived from 3' end of retinoblastoma gene cDNA. The gene abnormalities, including deletion, partial deletion and rearrangement, were found in 18 patients. Further research will be aimed at microdeletions or mutations for those patients wti...

  9. Microfluidic methods for non-viral gene delivery.

    Science.gov (United States)

    Lai, Wing-Fu

    2015-01-01

    Microfluidics is a compelling technology that shows considerable promise in applications ranging from gene expression profiling to cell-based assays. Owing to its capacity to enable generation of single droplets and multiple droplet arrays with precisely controlled composition and a narrow size distribution, recently microfluidics has been exploited for delivery of genes. This article provides an overview of recent advances in microfluidic gene delivery, and speculates the prospects for further research. The objectives of this article are to illustrate the potential roles played by microfluidics in gene delivery research, and to shed new light on strategies to enhance the efficiency of gene therapy.

  10. Detection of biomarkers for Hepatocellular Carcinoma using a hybrid univariate gene selection methods

    Directory of Open Access Journals (Sweden)

    Abdel Samee Nagwan M

    2012-08-01

    Full Text Available Abstract Background Discovering new biomarkers has a great role in improving early diagnosis of Hepatocellular carcinoma (HCC. The experimental determination of biomarkers needs a lot of time and money. This motivates this work to use in-silico prediction of biomarkers to reduce the number of experiments required for detecting new ones. This is achieved by extracting the most representative genes in microarrays of HCC. Results In this work, we provide a method for extracting the differential expressed genes, up regulated ones, that can be considered candidate biomarkers in high throughput microarrays of HCC. We examine the power of several gene selection methods (such as Pearson’s correlation coefficient, Cosine coefficient, Euclidean distance, Mutual information and Entropy with different estimators in selecting informative genes. A biological interpretation of the highly ranked genes is done using KEGG (Kyoto Encyclopedia of Genes and Genomes pathways, ENTREZ and DAVID (Database for Annotation, Visualization, and Integrated Discovery databases. The top ten genes selected using Pearson’s correlation coefficient and Cosine coefficient contained six genes that have been implicated in cancer (often multiple cancers genesis in previous studies. A fewer number of genes were obtained by the other methods (4 genes using Mutual information, 3genes using Euclidean distance and only one gene using Entropy. A better result was obtained by the utilization of a hybrid approach based on intersecting the highly ranked genes in the output of all investigated methods. This hybrid combination yielded seven genes (2 genes for HCC and 5 genes in different types of cancer in the top ten genes of the list of intersected genes. Conclusions To strengthen the effectiveness of the univariate selection methods, we propose a hybrid approach by intersecting several of these methods in a cascaded manner. This approach surpasses all of univariate selection methods when

  11. SOE-LRed: a simple and time-efficient method to localize genes with point mutations onto the Escherichia coli chromosome

    Science.gov (United States)

    Benson, Ryan W.; Cafarelli, Tiziana M.; Godoy, Veronica G.

    2011-01-01

    We report a powerful method to replace wild type genes on the chromosome of Escherichia coli. Employing a unique form of PCR, we generate easily constructible gene fusions bearing single point mutations. Used in conjunction with homologous recombination, this method eliminates cloning procedures previously used for this purpose. PMID:21185880

  12. Reliable gene expression analysis by reverse transcription-quantitative PCR: reporting and minimizing the uncertainty in data accuracy.

    Science.gov (United States)

    Remans, Tony; Keunen, Els; Bex, Geert Jan; Smeets, Karen; Vangronsveld, Jaco; Cuypers, Ann

    2014-10-01

    Reverse transcription-quantitative PCR (RT-qPCR) has been widely adopted to measure differences in mRNA levels; however, biological and technical variation strongly affects the accuracy of the reported differences. RT-qPCR specialists have warned that, unless researchers minimize this variability, they may report inaccurate differences and draw incorrect biological conclusions. The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines describe procedures for conducting and reporting RT-qPCR experiments. The MIQE guidelines enable others to judge the reliability of reported results; however, a recent literature survey found low adherence to these guidelines. Additionally, even experiments that use appropriate procedures remain subject to individual variation that statistical methods cannot correct. For example, since ideal reference genes do not exist, the widely used method of normalizing RT-qPCR data to reference genes generates background noise that affects the accuracy of measured changes in mRNA levels. However, current RT-qPCR data reporting styles ignore this source of variation. In this commentary, we direct researchers to appropriate procedures, outline a method to present the remaining uncertainty in data accuracy, and propose an intuitive way to select reference genes to minimize uncertainty. Reporting the uncertainty in data accuracy also serves for quality assessment, enabling researchers and peer reviewers to confidently evaluate the reliability of gene expression data. © 2014 American Society of Plant Biologists. All rights reserved.

  13. Inventory of LCIA selection methods for assessing toxic releases. Methods and typology report part B

    DEFF Research Database (Denmark)

    Larsen, Henrik Fred; Birkved, Morten; Hauschild, Michael Zwicky

    This report describes an inventory of Life Cycle Impact Assessment (LCIA) selection methods for assessing toxic releases. It consists of an inventory of current selection methods and other Chemical Ranking and Scoring (CRS) methods assessed to be relevant for the development of (a) new selection...... method(s) in Work package 8 (WP8) of the OMNIITOX project. The selection methods and the other CRS methods are described in detail, a set of evaluation criteria are developed and the methods are evaluated against these criteria. This report (Deliverable 11B (D11B)) gives the results from task 7.1d, 7.1e...

  14. The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis

    Directory of Open Access Journals (Sweden)

    Chen Yidong

    2004-01-01

    Full Text Available An unsupervised data clustering method, called the local maximum clustering (LMC method, is proposed for identifying clusters in experiment data sets based on research interest. A magnitude property is defined according to research purposes, and data sets are clustered around each local maximum of the magnitude property. By properly defining a magnitude property, this method can overcome many difficulties in microarray data clustering such as reduced projection in similarities, noises, and arbitrary gene distribution. To critically evaluate the performance of this clustering method in comparison with other methods, we designed three model data sets with known cluster distributions and applied the LMC method as well as the hierarchic clustering method, the -mean clustering method, and the self-organized map method to these model data sets. The results show that the LMC method produces the most accurate clustering results. As an example of application, we applied the method to cluster the leukemia samples reported in the microarray study of Golub et al. (1999.

  15. LGscore: A method to identify disease-related genes using biological literature and Google data.

    Science.gov (United States)

    Kim, Jeongwoo; Kim, Hyunjin; Yoon, Youngmi; Park, Sanghyun

    2015-04-01

    Since the genome project in 1990s, a number of studies associated with genes have been conducted and researchers have confirmed that genes are involved in disease. For this reason, the identification of the relationships between diseases and genes is important in biology. We propose a method called LGscore, which identifies disease-related genes using Google data and literature data. To implement this method, first, we construct a disease-related gene network using text-mining results. We then extract gene-gene interactions based on co-occurrences in abstract data obtained from PubMed, and calculate the weights of edges in the gene network by means of Z-scoring. The weights contain two values: the frequency and the Google search results. The frequency value is extracted from literature data, and the Google search result is obtained using Google. We assign a score to each gene through a network analysis. We assume that genes with a large number of links and numerous Google search results and frequency values are more likely to be involved in disease. For validation, we investigated the top 20 inferred genes for five different diseases using answer sets. The answer sets comprised six databases that contain information on disease-gene relationships. We identified a significant number of disease-related genes as well as candidate genes for Alzheimer's disease, diabetes, colon cancer, lung cancer, and prostate cancer. Our method was up to 40% more accurate than existing methods. Copyright © 2015 Elsevier Inc. All rights reserved.

  16. Overview of methods of reverse engineering of gene regulatory networks: Boolean and Bayesian networks

    OpenAIRE

    Frolova A. O.

    2012-01-01

    Reverse engineering of gene regulatory networks is an intensively studied topic in Systems Biology as it reconstructs regulatory interactions between all genes in the genome in the most complete form. The extreme computational complexity of this problem and lack of thorough reviews on reconstruction methods of gene regulatory network is a significant obstacle to further development of this area. In this article the two most common methods for modeling gene regulatory networks are surveyed: Bo...

  17. Deletion of a single-copy DAAM1 gene in congenital heart defect: a case report

    Directory of Open Access Journals (Sweden)

    Bao Bihui

    2012-08-01

    Full Text Available Abstract Background With an increasing incidence of congenital heart defects (CHDs in recent years, genotype-phenotype correlation and array-based methods have contributed to the genome-wide analysis and understanding of genetic variations in the CHD population. Here, we report a copy number deletion of chromosomal 14q23.1 in a female fetus with complex congenital heart defects. This is the first description of DAAM1 gene deletion associated with congenital heart anomalies. Case Presentation Compared with the control population, one CHD fetus showed a unique copy number deletion of 14q23.1, a region that harbored DAAM1 and KIAA0666 genes. Conclusions Results suggest that the copy number deletion on chromosome 14q23.1 may be critical for cardiogenesis. However, the exact relationship and mechanism of how DAAM1 and KIAA0666 deletion contributes to the onset of CHD is yet to be determined.

  18. An Efficient Low Cost Method for Gene Transfer to T Lymphocytes

    Science.gov (United States)

    Chicaybam, Leonardo; Sodre, Andressa Laino; Curzio, Bianca Azevedo; Bonamino, Martin Hernan

    2013-01-01

    Gene transfer to T lymphocytes has historically relied on retro and lentivirus, but recently transposon-based gene transfer is rising as a simpler and straight forward approach to achieve stable transgene expression. Transfer of expression cassettes to T lymphocytes remains challenging, being based mainly on commercial kits. Aims We herein report a convenient and affordable method based on in house made buffers, generic cuvettes and utilization of the widely available Lonza nucleofector II device to promote efficient gene transfer to T lymphocytes. Results This approach renders high transgene expression levels in primary human T lymphocytes (mean 45%, 41–59%), the hard to transfect murine T cells (mean 38%, 36–42% for C57/BL6 strain) and human Jurkat T cell line. Cell viability levels after electroporation allowed further manipulations such as in vitro expansion and Chimeric Antigen Receptor (CAR) mediated gain of function for target cell lysis. Conclusions We describe here an efficient general protocol for electroporation based modification of T lymphocytes. By opening access to this protocol, we expect that efficient gene transfer to T lymphocytes, for transient or stable expression, may be achieved by an increased number of laboratories at lower and affordable costs. PMID:23555950

  19. An efficient low cost method for gene transfer to T lymphocytes.

    Directory of Open Access Journals (Sweden)

    Leonardo Chicaybam

    Full Text Available UNLABELLED: Gene transfer to T lymphocytes has historically relied on retro and lentivirus, but recently transposon-based gene transfer is rising as a simpler and straight forward approach to achieve stable transgene expression. Transfer of expression cassettes to T lymphocytes remains challenging, being based mainly on commercial kits. AIMS: We herein report a convenient and affordable method based on in house made buffers, generic cuvettes and utilization of the widely available Lonza nucleofector II device to promote efficient gene transfer to T lymphocytes. RESULTS: This approach renders high transgene expression levels in primary human T lymphocytes (mean 45%, 41-59%, the hard to transfect murine T cells (mean 38%, 36-42% for C57/BL6 strain and human Jurkat T cell line. Cell viability levels after electroporation allowed further manipulations such as in vitro expansion and Chimeric Antigen Receptor (CAR mediated gain of function for target cell lysis. CONCLUSIONS: We describe here an efficient general protocol for electroporation based modification of T lymphocytes. By opening access to this protocol, we expect that efficient gene transfer to T lymphocytes, for transient or stable expression, may be achieved by an increased number of laboratories at lower and affordable costs.

  20. Feasibility of sodium/iodide symporter gene as a new imaging reporter gene: comparison with HSV1-tk

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Jae Hoon; Chung, June-Key; Lee, Yong Jin; Kim, Kwang Il [Department of Nuclear Medicine, Cancer Research Institute, Seoul National University College of Medicine, 28 Yongon-dong, 110-744, Chongno-gu, Seoul (Korea); Department of Tumor Biology, Cancer Research Institute, Seoul National University College of Medicine, Seoul (Korea); Laboratory of Molecular Imaging and Therapy, Cancer Research Institute, Seoul National University College of Medicine, Seoul (Korea); Kang, Joo Hyun; Jeong, Jae Min; Lee, Dong Soo [Department of Nuclear Medicine, Cancer Research Institute, Seoul National University College of Medicine, 28 Yongon-dong, 110-744, Chongno-gu, Seoul (Korea); Kim, Chul Woo [Department of Pathology, Cancer Research Institute, Seoul National University College of Medicine, Seoul (Korea); Lee, Myung Chul [Department of Nuclear Medicine, Cancer Research Institute, Seoul National University College of Medicine, 28 Yongon-dong, 110-744, Chongno-gu, Seoul (Korea)

    2004-03-01

    Positron emission tomography (PET) imaging reporter genes, such as HSV1-tk and D{sub 2} receptor genes, make it possible to visualise gene expression non-invasively and repetitively in vivo. However, these systems require the synthesis of complicated substrates and the availability of expensive PET equipment. Expression of the sodium/iodide symporter (NIS) gene can be easily monitored with radioiodines and technetium-99m using a gamma camera. To evaluate the possibility of using NIS as an imaging reporter gene, we compared its characteristics with those of the conventional HSV1-tk gene. The CM cell line was made by transfecting the HSV1-tk gene into CT-26 (mouse colon carcinoma cell line). The CTN and CMN cell lines were then made by transfecting the NIS gene into CT-26 and CM. We measured the uptake of iodine-125 iodovinyldeoxyuridine ([{sup 125}I]IVDU) and {sup 125}I to evaluate the expression of the HSV1-tk and NIS genes, respectively. Each cell line was injected into four flank sites in Balb/c mice. The biodistribution study was performed after intravenously injecting [{sup 125}I]IVDU and {sup 131}I, and {sup 131}I scintigraphy was performed for the evaluation of NIS expression. In vitro studies indicated that CTN and CMN had 40- to 79-fold and 150- to 256-fold higher uptake of {sup 125}I than CT-26 and CM, respectively. Furthermore, CM and CMN showed 57- to 69-fold higher uptake of [{sup 125}I]IVDU than CT-26 and CTN. NIS gene expression and {sup 125}I accumulation were found to be directly correlated (R{sup 2}=0.923), as were HSV1-tk gene expression and [{sup 125}I]IVDU accumulation (R{sup 2}=0.956). Calculated signal per unit NIS and HSV1-tk mRNA expression was 23,240{+-}3,755 cpm and 34,039{+-}5,346 cpm, respectively. In vivo study indicated that CTN and CMN had 2.3- and 5.8-fold higher uptake of {sup 131}I than CT-26 and CM, and 1.8- and 3.5-fold higher uptake of [{sup 125}I]IVDU than CT-26 and CTN. Scintigraphy using {sup 131}I easily visualised CTN and

  1. Prediction and validation of gene-disease associations using methods inspired by social network analyses.

    Directory of Open Access Journals (Sweden)

    U Martin Singh-Blom

    Full Text Available Correctly identifying associations of genes with diseases has long been a goal in biology. With the emergence of large-scale gene-phenotype association datasets in biology, we can leverage statistical and machine learning methods to help us achieve this goal. In this paper, we present two methods for predicting gene-disease associations based on functional gene associations and gene-phenotype associations in model organisms. The first method, the Katz measure, is motivated from its success in social network link prediction, and is very closely related to some of the recent methods proposed for gene-disease association inference. The second method, called Catapult (Combining dATa Across species using Positive-Unlabeled Learning Techniques, is a supervised machine learning method that uses a biased support vector machine where the features are derived from walks in a heterogeneous gene-trait network. We study the performance of the proposed methods and related state-of-the-art methods using two different evaluation strategies, on two distinct data sets, namely OMIM phenotypes and drug-target interactions. Finally, by measuring the performance of the methods using two different evaluation strategies, we show that even though both methods perform very well, the Katz measure is better at identifying associations between traits and poorly studied genes, whereas Catapult is better suited to correctly identifying gene-trait associations overall [corrected].

  2. Product-induced gene expression, a product-responsive reporter assay used to screen metagenomic libraries for enzyme-encoding genes.

    Science.gov (United States)

    Uchiyama, Taku; Miyazaki, Kentaro

    2010-11-01

    A reporter assay-based screening method for enzymes, which we named product-induced gene expression (PIGEX), was developed and used to screen a metagenomic library for amidases. A benzoate-responsive transcriptional activator, BenR, was placed upstream of the gene encoding green fluorescent protein and used as a sensor. Escherichia coli sensor cells carrying the benR-gfp gene cassette fluoresced in response to benzoate concentrations as low as 10 μM but were completely unresponsive to the substrate benzamide. An E. coli metagenomic library consisting of 96,000 clones was grown in 96-well format in LB medium containing benzamide. The library cells were then cocultivated with sensor cells. Eleven amidase genes were recovered from 143 fluorescent wells; eight of these genes were homologous to known bacterial amidase genes while three were novel genes. In addition to their activity toward benzamide, the enzymes were active toward various substrates, including d- and l-amino acid amides, and displayed enantioselectivity. Thus, we demonstrated that PIGEX is an effective approach for screening novel enzymes based on product detection.

  3. Signal transduction pathways that regulate CAB gene expression. Progress report

    Energy Technology Data Exchange (ETDEWEB)

    Chory, J.

    1993-12-31

    We have completed the initial genetic and phenotypic characterization of several classes of new mutants that affect CAB gene expression. The doc mutants (for dark overexpression of cab) are characterized by elevated levels of CAB gene expression in the dark; however, unlike the previously isolated de-etiolated mutants (also isolated in my lab), the doc mutants still appear etiolated. The doc alleles define 3 loci, each of which maps to a separate chromosome. The details of the mutant isolation scheme and the genetic and phenotypic description of these new mutants are described. The second class of mutants, the gun mutants (for genomes uncoupled) show accumulation of CAB mRNA in the absence of chloroplast gene expression and development. Thus, the normally tightly coordinated expression between the chloroplast and nuclear genes that encode chloroplast-destined proteins has been uncoupled. We have shown that the Arabidopsis HY3 locus encodes the type B phytochrome apoprotein gene and have characterized the phenotypes of null hy3 alleles to ascertain a role for this phytochrome in Arabidopsis development. We have also isolated and characterized a number of alleles of the phytochrome A gene.

  4. Inflammatory bowel disease gene discovery. CRADA final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-09-09

    The ultimate goal of this project is to identify the human gene(s) responsible for the disorder known as IBD. The work was planned in two phases. The desired products resulting from Phase 1 were BAC clone(s) containing the genetic marker(s) identified by gene/Networks, Inc. as potentially linked to IBD, plasmid subclones of those BAC(s), and new genetic markers developed from these plasmid subclones. The newly developed markers would be genotyped by gene/Networks, Inc. to ascertain evidence for linkage or non-linkage of IBD to this region. If non-linkage was indicated, the project would move to investigation of other candidate chromosomal regions. Where linkage was indicated, the project would move to Phase 2, in which a physical map of the candidate region(s) would be developed. The products of this phase would be contig(s) of BAC clones in the region exhibiting linkage to IBD, as well as plasmic subclones of the BACs and further genetic marker development. There would also be continued genotyping with new polymorphic markers during this phase. It was anticipated that clones identified and developed during these two phases would provide the physical resources for eventual disease gene discovery.

  5. Porcine E. coli: virulence-associated genes, resistance genes and adhesion and probiotic activity tested by a new screening method.

    Science.gov (United States)

    Schierack, Peter; Rödiger, Stefan; Kuhl, Christoph; Hiemann, Rico; Roggenbuck, Dirk; Li, Ganwu; Weinreich, Jörg; Berger, Enrico; Nolan, Lisa K; Nicholson, Bryon; Römer, Antje; Frömmel, Ulrike; Wieler, Lothar H; Schröder, Christian

    2013-01-01

    We established an automated screening method to characterize adhesion of Escherichia coli to intestinal porcine epithelial cells (IPEC-J2) and their probiotic activity against infection by enteropathogenic E. coli (EPEC). 104 intestinal E. coli isolates from domestic pigs were tested by PCR for the occurrence of virulence-associated genes, genes coding for resistances to antimicrobial agents and metals, and for phylogenetic origin by PCR. Adhesion rates and probiotic activity were examined for correlation with the presence of these genes. Finally, data were compared with those from 93 E. coli isolates from wild boars. Isolates from domestic pigs carried a broad variety of all tested genes and showed great diversity in gene patterns. Adhesions varied with a maximum of 18.3 or 24.2 mean bacteria adherence per epithelial cell after 2 or 6 hours respectively. Most isolates from domestic pigs and wild boars showed low adherence, with no correlation between adhesion/probiotic activity and E. coli genes or gene clusters. The gene sfa/foc, encoding for a subunit of F1C fimbriae did show a positive correlative association with adherence and probiotic activity; however E. coli isolates from wild boars with the sfa/foc gene showed less adhesion and probiotic activity than E. coli with the sfa/foc gene isolated from domestic pigs after 6 hour incubation. In conclusion, screening porcine E. coli for virulence associated genes genes, adhesion to intestinal epithelial cells, and probiotic activity revealed a single important adhesion factor, several probiotic candidates, and showed important differences between E. coli of domestic pigs and wild boars.

  6. Porcine E. coli: virulence-associated genes, resistance genes and adhesion and probiotic activity tested by a new screening method.

    Directory of Open Access Journals (Sweden)

    Peter Schierack

    Full Text Available We established an automated screening method to characterize adhesion of Escherichia coli to intestinal porcine epithelial cells (IPEC-J2 and their probiotic activity against infection by enteropathogenic E. coli (EPEC. 104 intestinal E. coli isolates from domestic pigs were tested by PCR for the occurrence of virulence-associated genes, genes coding for resistances to antimicrobial agents and metals, and for phylogenetic origin by PCR. Adhesion rates and probiotic activity were examined for correlation with the presence of these genes. Finally, data were compared with those from 93 E. coli isolates from wild boars. Isolates from domestic pigs carried a broad variety of all tested genes and showed great diversity in gene patterns. Adhesions varied with a maximum of 18.3 or 24.2 mean bacteria adherence per epithelial cell after 2 or 6 hours respectively. Most isolates from domestic pigs and wild boars showed low adherence, with no correlation between adhesion/probiotic activity and E. coli genes or gene clusters. The gene sfa/foc, encoding for a subunit of F1C fimbriae did show a positive correlative association with adherence and probiotic activity; however E. coli isolates from wild boars with the sfa/foc gene showed less adhesion and probiotic activity than E. coli with the sfa/foc gene isolated from domestic pigs after 6 hour incubation. In conclusion, screening porcine E. coli for virulence associated genes genes, adhesion to intestinal epithelial cells, and probiotic activity revealed a single important adhesion factor, several probiotic candidates, and showed important differences between E. coli of domestic pigs and wild boars.

  7. An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions.

    Science.gov (United States)

    Leem, Sangseob; Park, Taesung

    2017-03-14

    Detection of gene-gene interaction (GGI) is a key challenge towards solving the problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) method has been widely studied for detecting GGIs. MDR reduces the dimensionality of multi-factor by means of binary classification into high-risk (H) or low-risk (L) groups. Unfortunately, this simple binary classification does not reflect the uncertainty of H/L classification. Thus, we proposed Fuzzy MDR to overcome limitations of binary classification by introducing the degree of membership of two fuzzy sets H/L. While Fuzzy MDR demonstrated higher power than that of MDR, its performance is highly dependent on the several tuning parameters. In real applications, it is not easy to choose appropriate tuning parameter values. In this work, we propose an empirical fuzzy MDR (EF-MDR) which does not require specifying tuning parameters values. Here, we propose an empirical approach to estimating the membership degree that can be directly estimated from the data. In EF-MDR, the membership degree is estimated by the maximum likelihood estimator of the proportion of cases(controls) in each genotype combination. We also show that the balanced accuracy measure derived from this new membership function is a linear function of the standard chi-square statistics. This relationship allows us to perform the standard significance test using p-values in the MDR framework without permutation. Through two simulation studies, the power of the proposed EF-MDR is shown to be higher than those of MDR and Fuzzy MDR. We illustrate the proposed EF-MDR by analyzing Crohn's disease (CD) and bipolar disorder (BD) in the Wellcome Trust Case Control Consortium (WTCCC) dataset. We propose an empirical Fuzzy MDR for detecting GGI using the maximum likelihood of the proportion of cases(controls) as the membership degree of the genotype combination. The program written in R for EF-MDR is available at http://statgen.snu.ac.kr/software/EF-MDR .

  8. Protein interaction reporter agents and methods for using same

    Science.gov (United States)

    Bruce, James E.; Tang, Xiaoting; Munske,Gerhard

    2009-04-28

    Particular aspects provide novel protein interaction reporter (PIR) compounds (e.g., formulas I and II), comprising at least two protein reactive moieties (e.g., N-hydroxysuccinamide), each linked to a reporter moiety (e.g., mass reporter) by a covalent labile bond that is differentially cleavable with respect to peptide bonds (e.g., by a method such as collisional activation in a mass spectrometer, activation by electron capture dissociation (ECD), photoactivation, etc.), wherein the reporter moiety is operatively releasable from the PIR agent upon cleavage of the labile bonds, the released reporter moiety having a characteristic identifying property or label (e.g., m/z value). Particular PIRs comprise a mass reporter moiety, and further comprise an affinity group, (e.g., biotin), linked to the PIR (e.g., to the mass reporter moiety) by a selectively cleavable bone (e.g. photo-labile bond)). Additional aspects provide methods for characterizing intermolecular or intramolecular protein interactions using one or more inventive PIR compounds.

  9. Enterococcus gallinarum carrying the vanA gene cluster: first report in Brazil.

    Science.gov (United States)

    Camargo, I L B C; Barth, A L; Pilger, K; Seligman, B G S; Machado, A R L; Darini, A L C

    2004-11-01

    In 2000, Enterococcus faecalis resistant to vancomycin was first reported at a tertiary hospital in Porto Alegre, southern Brazil. The resistance spread to other hospitals and surveillance programs were established by hospital infection committees to prevent the spread of vancomycin-resistant enterococci. In February 2002, an isolate initially identified at the genus level as Enterococcus was obtained by surveillance culture (rectal swab) from a patient admitted to a hospital for treatment of septic arthritis in the shoulder. The isolate proved to be resistant to vancomycin by the disc diffusion method and confirmed by an E-test resulting in a minimal inhibitory concentration of > or = 256 microg/ml. This isolate was sent to a reference laboratory (Laboratorio Especial de Bacteriologia e Epidemiologia Molecular, Faculdade de Ciencias Farmaceuticas de Ribeirao Preto, USP) for further study and proved to be an E. gallinarum by the polymerase chain reaction (PCR) using specific primers for the species. Due to the phenotype of unusually high vancomycin resistance, the isolate presumably had the resistance genes (vanA and vanB) and this was confirmed by PCR, which indicated the presence of the vanA gene. A 10.8-kb Tn1546-related transposon was also identified by long-PCR. Interspecies transfer of the vancomycin-resistance gene from the donor E. gallinarum was performed in a successful conjugation experiment in vitro, using E. faecium GE-1 and E. faecalis JH22 as receptors. This is the first report of the detection of a vanA determinant naturally acquired by E. gallinarum in Brazil, indicating the importance of characterizing VRE by both phenotype and genotype methods.

  10. Enterococcus gallinarum carrying the vanA gene cluster: first report in Brazil

    Directory of Open Access Journals (Sweden)

    I.L.B.C. Camargo

    2004-11-01

    Full Text Available In 2000, Enterococcus faecalis resistant to vancomycin was first reported at a tertiary hospital in Porto Alegre, southern Brazil. The resistance spread to other hospitals and surveillance programs were established by hospital infection committees to prevent the spread of vancomycin-resistant enterococci. In February 2002, an isolate initially identified at the genus level as Enterococcus was obtained by surveillance culture (rectal swab from a patient admitted to a hospital for treatment of septic arthritis in the shoulder. The isolate proved to be resistant to vancomycin by the disc diffusion method and confirmed by an E-test resulting in a minimal inhibitory concentration of > or = 256 µg/ml. This isolate was sent to a reference laboratory (Laboratório Especial de Bacteriologia e Epidemiologia Molecular, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, USP for further study and proved to be an E. gallinarum by the polymerase chain reaction (PCR using specific primers for the species. Due to the phenotype of unusually high vancomycin resistance, the isolate presumably had the resistance genes (vanA and vanB and this was confirmed by PCR, which indicated the presence of the vanA gene. A 10.8-kb Tn1546-related transposon was also identified by long-PCR. Interspecies transfer of the vancomycin-resistance gene from the donor E. gallinarum was performed in a successful conjugation experiment in vitro, using E. faecium GE-1 and E. faecalis JH22 as receptors. This is the first report of the detection of a vanA determinant naturally acquired by E. gallinarum in Brazil, indicating the importance of characterizing VRE by both phenotype and genotype methods.

  11. Approaches and methods in gene therapy for kidney disease

    NARCIS (Netherlands)

    van der Wouden, Els A; Sandovici, Maria; Henning, Robert H; de Zeeuw, Dick; Deelman, Leo E

    2004-01-01

    Renal gene therapy may offer new strategies to treat diseases of native and transplanted kidneys. Several experimental techniques have been developed and employed using nonviral, viral, and cellular vectors. The most efficient vector for in vivo transfection appears to be adenovirus. Glomeruli, bloo

  12. Construction and preliminary evaluation of an Aspergillus flavus reporter gene construct as a potential tool for screening aflatoxin resistance.

    Science.gov (United States)

    Brown, Robert L; Brown-Jenco, Carmen S; Bhatnagar, Deepak; Payne, Gary A

    2003-10-01

    Effective preharvest strategies to eliminate aflatoxin accumulation in crops are not presently available. The molecular biology of aflatoxin biosynthesis has been extensively studied, and genetic and molecular tools such as reporter gene systems for the measurement of fungal growth have been developed. A reporter construct containing the Aspergillus flavus beta-tubulin gene promoter fused to Escherichia coli beta-glucuronidase (GUS) has been shown to be a reliable tool for the indirect measurement of fungal growth in maize kernels. Since cost-saving alternative methods for the direct measurement of aflatoxin levels are needed to facilitate more widespread field and laboratory screening of maize lines, a new reporter gene construct involving the promoter region of the omtA gene of the aflatoxin biosynthetic pathway was constructed and tested. Expression of GUS activity by this construct (omtA::GUS) was correlated with aflatoxin accumulation in culture. In the fungal transformant GAP26-1, which harbors this construct, aflatoxin production and GUS expression on sucrose-containing medium showed the same temporal pattern of toxin induction. Furthermore, GUS expression by GAP26-1 was shown to be associated with aflatoxin accumulation in maize kernels inoculated with this strain. Our results suggest that this and other reporter gene pathway promoter constructs may provide superior alternatives to direct aflatoxin quantification with respect to time, labor, and materials for the screening of maize lines for resistance to aflatoxin accumulation.

  13. Evaluation of gene association methods for coexpression network construction and biological knowledge discovery.

    Directory of Open Access Journals (Sweden)

    Sapna Kumari

    Full Text Available BACKGROUND: Constructing coexpression networks and performing network analysis using large-scale gene expression data sets is an effective way to uncover new biological knowledge; however, the methods used for gene association in constructing these coexpression networks have not been thoroughly evaluated. Since different methods lead to structurally different coexpression networks and provide different information, selecting the optimal gene association method is critical. METHODS AND RESULTS: In this study, we compared eight gene association methods - Spearman rank correlation, Weighted Rank Correlation, Kendall, Hoeffding's D measure, Theil-Sen, Rank Theil-Sen, Distance Covariance, and Pearson - and focused on their true knowledge discovery rates in associating pathway genes and construction coordination networks of regulatory genes. We also examined the behaviors of different methods to microarray data with different properties, and whether the biological processes affect the efficiency of different methods. CONCLUSIONS: We found that the Spearman, Hoeffding and Kendall methods are effective in identifying coexpressed pathway genes, whereas the Theil-sen, Rank Theil-Sen, Spearman, and Weighted Rank methods perform well in identifying coordinated transcription factors that control the same biological processes and traits. Surprisingly, the widely used Pearson method is generally less efficient, and so is the Distance Covariance method that can find gene pairs of multiple relationships. Some analyses we did clearly show Pearson and Distance Covariance methods have distinct behaviors as compared to all other six methods. The efficiencies of different methods vary with the data properties to some degree and are largely contingent upon the biological processes, which necessitates the pre-analysis to identify the best performing method for gene association and coexpression network construction.

  14. Molecular Screening of "MECP2" Gene in a Cohort of Lebanese Patients Suspected with Rett Syndrome: Report on a Mild Case with a Novel Indel Mutation

    Science.gov (United States)

    Corbani, S.; Chouery, E.; Fayyad, J.; Fawaz, A.; El Tourjuman, O.; Badens, C.; Lacoste, C.; Delague, V.; Megarbane, A.

    2012-01-01

    Background: Rett syndrome (RTT), an X-linked, dominant, neurodevelopment disorder represents 10% of female subjects with profound intellectual disability. Mutations in the "MECP2" gene are responsible for up to 95% of the classical RTT cases, and nearly 500 different mutations distributed throughout the gene have been reported. Methods: We report…

  15. Molecular Screening of "MECP2" Gene in a Cohort of Lebanese Patients Suspected with Rett Syndrome: Report on a Mild Case with a Novel Indel Mutation

    Science.gov (United States)

    Corbani, S.; Chouery, E.; Fayyad, J.; Fawaz, A.; El Tourjuman, O.; Badens, C.; Lacoste, C.; Delague, V.; Megarbane, A.

    2012-01-01

    Background: Rett syndrome (RTT), an X-linked, dominant, neurodevelopment disorder represents 10% of female subjects with profound intellectual disability. Mutations in the "MECP2" gene are responsible for up to 95% of the classical RTT cases, and nearly 500 different mutations distributed throughout the gene have been reported. Methods:…

  16. A Book Report on Method in Translation History

    Institute of Scientific and Technical Information of China (English)

    曹丹

    2014-01-01

    This paper is a book report of Method in Translation History, a book on the field of translation history written by Anthony Pym, a professor of University of Barcelona. The author tries to give a general summary of the book content.

  17. A systematic molecular circuit design method for gene networks under biochemical time delays and molecular noises

    Directory of Open Access Journals (Sweden)

    Chang Yu-Te

    2008-11-01

    Full Text Available Abstract Background Gene networks in nanoscale are of nonlinear stochastic process. Time delays are common and substantial in these biochemical processes due to gene transcription, translation, posttranslation protein modification and diffusion. Molecular noises in gene networks come from intrinsic fluctuations, transmitted noise from upstream genes, and the global noise affecting all genes. Knowledge of molecular noise filtering and biochemical process delay compensation in gene networks is crucial to understand the signal processing in gene networks and the design of noise-tolerant and delay-robust gene circuits for synthetic biology. Results A nonlinear stochastic dynamic model with multiple time delays is proposed for describing a gene network under process delays, intrinsic molecular fluctuations, and extrinsic molecular noises. Then, the stochastic biochemical processing scheme of gene regulatory networks for attenuating these molecular noises and compensating process delays is investigated from the nonlinear signal processing perspective. In order to improve the robust stability for delay toleration and noise filtering, a robust gene circuit for nonlinear stochastic time-delay gene networks is engineered based on the nonlinear robust H∞ stochastic filtering scheme. Further, in order to avoid solving these complicated noise-tolerant and delay-robust design problems, based on Takagi-Sugeno (T-S fuzzy time-delay model and linear matrix inequalities (LMIs technique, a systematic gene circuit design method is proposed to simplify the design procedure. Conclusion The proposed gene circuit design method has much potential for application to systems biology, synthetic biology and drug design when a gene regulatory network has to be designed for improving its robust stability and filtering ability of disease-perturbed gene network or when a synthetic gene network needs to perform robustly under process delays and molecular noises.

  18. An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets.

    Science.gov (United States)

    Cheng, Chun-Pei; Liu, Yu-Cheng; Tsai, Yi-Lin; Tseng, Vincent S

    2013-01-01

    Observation of gene expression changes implying gene regulations using a repetitive experiment in time course has become more and more important. However, there is no effective method which can handle such kind of data. For instance, in a clinical/biological progression like inflammatory response or cancer formation, a great number of differentially expressed genes at different time points could be identified through a large-scale microarray approach. For each repetitive experiment with different samples, converting the microarray datasets into transactional databases with significant singleton genes at each time point would allow sequential patterns implying gene regulations to be identified. Although traditional sequential pattern mining methods have been successfully proposed and widely used in different interesting topics, like mining customer purchasing sequences from a transactional database, to our knowledge, the methods are not suitable for such biological dataset because every transaction in the converted database may contain too many items/genes. In this paper, we propose a new algorithm called CTGR-Span (Cross-Timepoint Gene Regulation Sequential pattern) to efficiently mine CTGR-SPs (Cross-Timepoint Gene Regulation Sequential Patterns) even on larger datasets where traditional algorithms are infeasible. The CTGR-Span includes several biologically designed parameters based on the characteristics of gene regulation. We perform an optimal parameter tuning process using a GO enrichment analysis to yield CTGR-SPs more meaningful biologically. The proposed method was evaluated with two publicly available human time course microarray datasets and it was shown that it outperformed the traditional methods in terms of execution efficiency. After evaluating with previous literature, the resulting patterns also strongly correlated with the experimental backgrounds of the datasets used in this study. We propose an efficient CTGR-Span to mine several biologically

  19. Genes related to xylose fermentation and methods of using same for enhanced biofuel production

    Science.gov (United States)

    Wohlbach, Dana J.; Gasch, Audrey P.

    2014-08-05

    The present invention provides isolated gene sequences involved in xylose fermentation and related recombinant yeast which are useful in methods of enhanced biofuel production, particularly ethanol production. Methods of bioengineering recombinant yeast useful for biofuel production are also provided.

  20. Genes related to xylose fermentation and methods of using same for enhanced biofuel production

    Energy Technology Data Exchange (ETDEWEB)

    Wohlbach, Dana J.; Gasch, Audrey P.

    2016-11-29

    The present invention provides isolated gene sequences involved in xylose fermentation and related recombinant yeast which are useful in methods of enhanced biofuel production, particularly ethanol production. Methods of bioengineering recombinant yeast useful for biofuel production are also provided.

  1. Methods for the identification of mutations in the human phenylalanine hydroxylase gene using DNA probes

    Energy Technology Data Exchange (ETDEWEB)

    Woo, S.L.C.; Dilella, A.G.

    1990-10-23

    This patent describes a method of detecting a mutation in a phenylalanine hydroxylase gene of human genomic DNA. Also described is an automated method of detecting PKU affected, PKU helerozgotes and normals in fetal to adult human samples.

  2. The plant mitochondrial mat-r gene/nad1 gene complex. Progress report

    Energy Technology Data Exchange (ETDEWEB)

    Wolstenholme, D.R.

    1994-06-01

    The authors have completed sequencing the segments (totalling 19 kb, both complementary strands) of the maize mtDNA molecule that encode the entire NADH dehydrogenase subunit (nadl) gene. They have identified nucleotides in mature transcripts of the nadl gene that are edited and have generated clones of cDNAs of entire mature (fully spliced) nadl transcripts. They have examined the relative rates of splicing in transcripts of the four nadl gene group II introns and begun examining nadl intron cDNAs to determine the extent and distribution of RNA edits in introns, in order to evaluate the possibility that intron excision and exon splicing might be editing independent.

  3. Evaluation of different promoters driving the GFP reporter gene in seaweed Kappaphycus alvarezii

    Directory of Open Access Journals (Sweden)

    Muh. Alias L. Rajamuddin

    2016-02-01

    Full Text Available Promoter regulates expression level of foreign gene in transgenic organism. This study was performed to select asuitable promoter as the fi rst step towards production of valuable trait-enhanced seaweed by transgenic technology. Greenfl uorescent protein (GFP gene was used as a reporter to determine the activity of promoter in seaweed Kappaphycusalvarezii. GFP gene constructs driven by cytomegalovirus (pCMV-GFP, caulifl ower mosaic virus (pCaMV-GFP,medaka β-actin (pmBA-GFP and Japanese fl ounder keratin (pJfKer-GFP promoters were introduced by electroporationmethod. Electroporation was performed using a gene pulser (BIORAD with voltage of 300 V, pulse length of 0.5 ms,pulse numbers of 4, and pulse interval of 0.1 s. Promoter activity was determined by analyzing GFP gene expressionlevel using a fl uorescent microscope. The results showed that CMV regulated highest number of fi lament callus(34.10%±1.49 expressing GFP at medium to strong fl uorescence levels. CaMV promoter had relatively similar activitywith CMV, but lower number of fi lament callus expressing GFP (10.48%±0.25. mBA promoter drove GFP expressionat medium level and similar number of fi lament callus (8.85%±2.31 expressing GFP with CaMV, while JfKer promoterhad lowest activity by means in number of fi lament callus expressing GFP (4.79%±0.26 and GFP expression level. PCRanalysis for transgenic confi rmation showed a DNA band of PCR product from pCMV-GFP and pCaMV-GFP expressingfi lament callus in the same size (about 0.6 kb with positive control of plasmid. Thus, CMV and CaMV promoters wasan appropriate promoter and foreign gene could be transferred to fi lament callus by electroporation method. Combiningthis achievement with developing a culture method of fi lament callus to be thallus, stable transgenic breeding in K.alvarezii can be feasible.

  4. An improved method for detecting and delineating genomic regions with altered gene expression in cancer

    OpenAIRE

    2008-01-01

    Genomic regions with altered gene expression are a characteristic feature of cancer cells. We present a novel method for identifying such regions in gene expression maps. This method is based on total variation minimization, a classical signal restoration technique. In systematic evaluations, we show that our method combines top-notch detection performance with an ability to delineate relevant regions without excessive over-segmentation, making it a significant advance over existing methods. ...

  5. Reporting methods of blinding in randomized trials assessing nonpharmacological treatments.

    Directory of Open Access Journals (Sweden)

    Isabelle Boutron

    2007-02-01

    Full Text Available BACKGROUND: Blinding is a cornerstone of treatment evaluation. Blinding is more difficult to obtain in trials assessing nonpharmacological treatment and frequently relies on "creative" (nonstandard methods. The purpose of this study was to systematically describe the strategies used to obtain blinding in a sample of randomized controlled trials of nonpharmacological treatment. METHODS AND FINDINGS: We systematically searched in Medline and the Cochrane Methodology Register for randomized controlled trials (RCTs assessing nonpharmacological treatment with blinding, published during 2004 in high-impact-factor journals. Data were extracted using a standardized extraction form. We identified 145 articles, with the method of blinding described in 123 of the reports. Methods of blinding of participants and/or health care providers and/or other caregivers concerned mainly use of sham procedures such as simulation of surgical procedures, similar attention-control interventions, or a placebo with a different mode of administration for rehabilitation or psychotherapy. Trials assessing devices reported various placebo interventions such as use of sham prosthesis, identical apparatus (e.g., identical but inactivated machine or use of activated machine with a barrier to block the treatment, or simulation of using a device. Blinding participants to the study hypothesis was also an important method of blinding. The methods reported for blinding outcome assessors relied mainly on centralized assessment of paraclinical examinations, clinical examinations (i.e., use of video, audiotape, photography, or adjudications of clinical events. CONCLUSIONS: This study classifies blinding methods and provides a detailed description of methods that could overcome some barriers of blinding in clinical trials assessing nonpharmacological treatment, and provides information for readers assessing the quality of results of such trials.

  6. Analysis of Gene Targeting & Nonhomologous End-joining. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Haber, J. E.

    2002-11-30

    Overall, we identified a number of new proteins that participate in nonhomologous end-joining and also in telomere addition to the ends of broken chromosomes. We showed that NHEJ is severely reduced in cells expressing both yeast mating-type genes and then went on to identify the NEJ1 gene that was under this control. We showed the epistasis relations among a set of mutations that impair telomere addition and we showed that there are in fact two pathways to repair broken chromosomes in the absence of telomerase. We characterized the DNA damage checkpoint pathway in response to a single broken chromosome and characterized especially the adaptation of cells arrested by an unrepaired DSB. We demonstrated that the DNA damage response is nuclear-limited. We showed adaptation defects for Tid1and Srs2 proteins and showed that Srs2 was also recovery-defective, even when DNA was repaired.

  7. Evaluation of different promoters driving the GFP reporter gene in seaweed Kappaphycus alvarezii

    OpenAIRE

    Muh. Alias L. Rajamuddin; Alimuddin A; Utut Widyastuti; Irvan Faizal

    2016-01-01

    Promoter regulates expression level of foreign gene in transgenic organism. This study was performed to select asuitable promoter as the fi rst step towards production of valuable trait-enhanced seaweed by transgenic technology. Greenfl uorescent protein (GFP) gene was used as a reporter to determine the activity of promoter in seaweed Kappaphycusalvarezii. GFP gene constructs driven by cytomegalovirus (pCMV-GFP), caulifl ower mosaic virus (pCaMV-GFP),medaka β-actin (pmBA-GFP) and Japanese fl...

  8. Methods for the isolation of genes encoding novel PHB cycle enzymes from complex microbial communities.

    Science.gov (United States)

    Nordeste, Ricardo F; Trainer, Maria A; Charles, Trevor C

    2010-01-01

    Development of different PHAs as alternatives to petrochemically derived plastics can be facilitated by mining metagenomic libraries for diverse PHA cycle genes that might be useful for synthesis of bioplastics. The specific phenotypes associated with mutations of the PHA synthesis pathway genes in Sinorhizobium meliloti allows for the use of powerful selection and screening tools to identify complementing novel PHA synthesis genes. Identification of novel genes through their function rather than sequence facilitates finding functional proteins that may otherwise have been excluded through sequence-only screening methodology. We present here methods that we have developed for the isolation of clones expressing novel PHA metabolism genes from metagenomic libraries.

  9. Autoradiography study and SPECT imaging of reporter gene HSV1-tk expression in heart

    Energy Technology Data Exchange (ETDEWEB)

    Lan Xiaoli [Department of Nuclear Medicine, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei Province, 430022 (China)], E-mail: LXL730724@hotmail.com; Liu Ying; He Yong; Wu Tao; Zhang Binqing; Gao Zairong; An Rui [Department of Nuclear Medicine, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei Province, 430022 (China); Zhang Yongxue [Department of Nuclear Medicine, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei Province, 430022 (China)], E-mail: zhyx1229@163.com

    2010-04-15

    Aim: To demonstrate the feasibility and optimal conditions of imaging herpes simplex virus 1-thymidine kinase (HSV1-tk) gene transferred into hearts with {sup 131}I-2'-fluoro-2'-deoxy-1-{beta}-D-arabinofuranosyl-5-iodouracil ({sup 131}I-FIAU) using autoradiography (ARG) and single photon emission computed tomography (SPECT) in animal models. Methods: HSV1-tk inserted into adenovirus vector (Ad5-tk) and adenovirus (Ad5-null) was prepared. Rats or rabbits were divided into a study group receiving intramyocardial injection of Ad5-tk, and a control group receiving Ad-null injection. In the study group of rats, two sets of experiments, time-course study and dose-dependence study, were performed. In time-course experiments, rats were injected with {sup 131}I-FIAU on Days 1, 2, 3, 5 and 7, after transfection of 1x10{sup 8} pfu Ad5-tk, to study the feasibility and suitable time course for reporter gene imaging. In dose-dependence study, various titers of Ad5-tk (5x10{sup 8}, 1x10{sup 8}, 5x10{sup 7} and 1x10{sup 7} pfu) were used to determine the threshold and optimal viral titer needed for detection of gene expression. The gamma counts of hearts were measured. The rat myocardium was analyzed by ARG and reverse transcriptase-polymerase chain reaction (RT-PCR). SPECT whole-body planar imaging and cardiac tomographic imaging were performed in the rabbit models. Results: From the ARG images, rats injected with Ad5-tk showed significant {sup 131}I-FIAU activity in the anterolateral wall compared with background signals seen in the control Ad5-null rats. In time-course study, the highest radioactivity in the focal myocardium could be seen on Day 1, and then progressively declined with time. In dose-dependence study, the level of {sup 131}I-FIAU accumulation in the transfected myocardium declined with the decrease of Ad viral titers. From the ARG analysis and gamma counting, the threshold viral titer was 5x10{sup 7} pfu, and the optimal Ad titer was 1x10{sup 8} pfu

  10. Quantitative analysis of gene expression in fixed colorectal carcinoma samples as a method for biomarker validation

    Science.gov (United States)

    OSTASIEWICZ, BEATA; OSTASIEWICZ, PAWEŁ; DUŚ-SZACHNIEWICZ, KAMILA; OSTASIEWICZ, KATARZYNA; ZIÓŁKOWSKI, PIOTR

    2016-01-01

    Biomarkers have been described as the future of oncology. Modern proteomics provide an invaluable tool for the near-whole proteome screening for proteins expressed differently in neoplastic vs. healthy tissues. However, in order to select the most promising biomarkers, an independent method of validation is required. The aim of the current study was to propose a methodology for the validation of biomarkers. Due to material availability the majority of large scale biomarker studies are performed using formalin-fixed paraffin-embedded (FFPE) tissues, therefore these were selected for use in the current study. A total of 10 genes were selected from what have been previously described as the most promising candidate biomarkers, and the expression levels were analyzed with reverse transcription-quantitative polymerase chain reaction (RT-qPCR) using calibrator normalized relative quantification with the efficiency correction. For 6/10 analyzed genes, the results were consistent with the proteomic data; for the remaining four genes, the results were inconclusive. The upregulation of karyopherin α 2 (KPNA2) and chromosome segregation 1-like (CSE1L) in colorectal carcinoma, in addition to downregulation of chloride channel accessory 1 (CLCA1), fatty acid binding protein 1 (FABP1), sodium channel, voltage gated, type VII α subunit (SCN7A) and solute carrier family 26 (anion exchanger), member 3 (SLC26A3) was confirmed. With the combined use of proteomic and genetic tools, it was reported, for the first time to the best of our knowledge, that SCN7A was downregulated in colorectal carcinoma at mRNA and protein levels. It had been previously suggested that the remaining five genes served an important role in colorectal carcinogenesis, however the current study provided strong evidence to support their use as biomarkers. Thus, it was concluded that combination of RT-qPCR with proteomics offers a powerful methodology for biomarker identification, which can be used to analyze

  11. Far-red fluorescence gene reporter tomography for determination of placement and viability of cell-based gene therapies.

    Science.gov (United States)

    Lu, Yujie; Darne, Chinmay D; Tan, I-Chih; Zhu, Banghe; Hall, Mary A; Lazard, Zawaunyka W; Davis, Alan R; Simpson, Lashan; Sevick-Muraca, Eva M; Olmsted-Davis, Elizabeth A

    2013-10-01

    Non-invasive injectable cellular therapeutic strategies based on sustained delivery of physiological levels of BMP-2 for spinal fusion are emerging as promising alternatives, which could provide sufficient fusion without the associated surgical risks. However, these injectable therapies are dependent on bone formation occurring only at the specific target region. In this study, we developed and deployed fluorescence gene reporter tomography (FGRT) to provide information on in vivo cell localization and viability. This information is sought to confirm the ideal placement of the materials with respect to the area where early bone reaction is required, ultimately providing three dimensional data about the future fusion. However, because almost all conventional fluorescence gene reporters require visible excitation wavelengths, current in vivo imaging of fluorescent proteins is limited by high tissue absorption and confounding autofluorescence. We previously administered fibroblasts engineered to produce BMP-2, but is difficult to determine 3-D information of placement prior to bone formation. Herein we used the far-red fluorescence gene reporter, IFP1.4 to report the position and viability of fibroblasts and developed 3-D tomography to provide placement information. A custom small animal, far-red fluorescence tomography system integrated into a commercial CT scanner was used to assess IFP1.4 fluorescence and to demark 3-D placement of encapsulated fibroblasts with respect to the vertebrae and early bone formation as assessed from CT. The results from three experiments showed that the placement of the materials within the spine could be detected. This work shows that in vivo fluorescence gene reporter tomography of cell-based gene therapy is feasible and could help guide cell-based therapies in preclinical models.

  12. METHODS IN THE POST-METHODS ERA. REPORT ON AN INTERNATIONAL SURVEY ON LANGUAGE TEACHING METHODS'

    Directory of Open Access Journals (Sweden)

    Jun Liu

    2004-06-01

    Full Text Available Do methods still have a place in 21" century language teaching? To answer this question, an international survey was conducted in the surnmer of 1999. A sample of 800 language teachers world-wide randomly drawn from 17,800 TESOLers were each given a 2-page survey. The return rate was 58.5% with the actual usable data set of448, which was analyzed by using both descriptive and inferential statistics. Among the ten commonly recognized teaching methods surveyed, both the Communicative Language Teaching Approach and an eclectic method seem to have the highest rate in familiarity, preference, and use. But when multiple factors, such as teaching contexts, instructional settings, learners' proficiency levels, class size, teaching experience and educational backgrounds of the teachers, and the status of being a native or nonnative English speaking professional were taken into consideration, various patterns and themes emerged. One interesting finding is that Grammar Translation is still used in EFL contexts, in larger classes, and with learners at low proficiency levels, though the ratio between the actual use of this method and teachers' preference does not match. Based on the results of the survey, a new theoretical framework is proposed to conceptualize language teaching methods in the post-methods era.

  13. Rank sum method for related gene selection and its application to tumor diagnosis

    Institute of Scientific and Technical Information of China (English)

    DENG Lin; MA Jinwen; PEI Jian

    2004-01-01

    Tumor diagnosis by analyzing gene expression profiles becomes an interesting topic in bioinformatics and the main problem is to identify the genes related to a tumor.This paper proposes a rank sum method to identify the related genes based on the rank sum test theory in statistics.The tumor diagnosis system is constructed by the support vector machine (SVM) trained on the set of the related gene expression profiles. The experiments demonstrate that the constructed tumor diagnosis system with the rank sum method and SVM can reach an accuracy level of 96.2% on the colon data and 100 % on the leukemia data.

  14. Overview of methods of reverse engineering of gene regulatory networks: Boolean and Bayesian networks

    Directory of Open Access Journals (Sweden)

    Frolova A. O.

    2012-06-01

    Full Text Available Reverse engineering of gene regulatory networks is an intensively studied topic in Systems Biology as it reconstructs regulatory interactions between all genes in the genome in the most complete form. The extreme computational complexity of this problem and lack of thorough reviews on reconstruction methods of gene regulatory network is a significant obstacle to further development of this area. In this article the two most common methods for modeling gene regulatory networks are surveyed: Boolean and Bayesian networks. The mathematical description of each method is given, as well as several algorithmic approaches to modeling gene networks using these methods; the complexity of algorithms and the problems that arise during its implementation are also noted.

  15. A toolkit and robust pipeline for the generation of fosmid-based reporter genes in C. elegans.

    Directory of Open Access Journals (Sweden)

    Baris Tursun

    Full Text Available Engineering fluorescent proteins into large genomic clones, contained within BACs or fosmid vectors, is a tool to visualize and study spatiotemporal gene expression patterns in transgenic animals. Because these reporters cover large genomic regions, they most likely capture all cis-regulatory information and can therefore be expected to recapitulate all aspects of endogenous gene expression. Inserting tags at the target gene locus contained within genomic clones by homologous recombination ("recombineering" represents the most straightforward method to generate these reporters. In this methodology paper, we describe a simple and robust pipeline for recombineering of fosmids, which we apply to generate reporter constructs in the nematode C. elegans, whose genome is almost entirely covered in an available fosmid library. We have generated a toolkit that allows for insertion of fluorescent proteins (GFP, YFP, CFP, VENUS, mCherry and affinity tags at specific target sites within fosmid clones in a virtually seamless manner. Our new pipeline is less complex and, in our hands, works more robustly than previously described recombineering strategies to generate reporter fusions for C. elegans expression studies. Furthermore, our toolkit provides a novel recombineering cassette which inserts a SL2-spliced intercistronic region between the gene of interest and the fluorescent protein, thus creating a reporter controlled by all 5' and 3' cis-acting regulatory elements of the examined gene without the direct translational fusion between the two. With this configuration, the onset of expression and tissue specificity of secreted, sub-cellular compartmentalized or short-lived gene products can be easily detected. We describe other applications of fosmid recombineering as well. The simplicity, speed and robustness of the recombineering pipeline described here should prompt the routine use of this strategy for expression studies in C. elegans.

  16. THORs Power Method for Hydrokinetic Devices - Final Report

    Energy Technology Data Exchange (ETDEWEB)

    J. Turner Hunt; Joel Rumker

    2012-08-08

    Ocean current energy represents a vast untapped source of renewable energy that exists on the outer continental shelf areas of the 5 major continents. Ocean currents are unidirectional in nature and are perpetuated by thermal and salinity sea gradients, as well as coriolis forces imparted from the earth's rotation. This report details THORs Power Method, a breakthrough power control method that can provide dramatic increases to the capacity factor over and above existing marine hydrokinetic (MHK) devices employed in the extraction of energy from ocean currents. THORs Power Method represents a constant speed, variable depth operational method that continually locates the ocean current turbine at a depth at which the rated power of the generator is routinely achieved. Variable depth operation is achieved by using various vertical force effectors, including ballast tanks for variable weight, a hydrodynamic wing for variable lift or down force and drag flaps for variable vehicle drag forces.

  17. Gene polymorphisms in association with self-reported stroke in US adults

    Directory of Open Access Journals (Sweden)

    Amy Z Fan

    2010-03-01

    Full Text Available Amy Z Fan1, Jing Fang1, Ajay Yesupriya2, Man-huei Chang2, Greta Kilmer1, Meaghan House3, Donald Hayes1, Renée M Ned2, Nicole F Dowling2, Ali H Mokdad1 1National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA; 3School of Public Health, Emory University, Atlanta, GA, USAPurpose: Epidemiologic studies suggest that several gene variants increase the risk of stroke, and population-based studies help provide further evidence. We identified polymorphisms associated with the prevalence of self-reported stroke in US populations using a representative sample.Methods: Our sample comprised US adults in the Third National Health and Nutrition Examination (NHANES III DNA bank. We examined nine candidate gene variants within ACE, F2, F5, ITGA2, MTHFR, and NOS3 for associations with self-reported stroke. We used multivariate regression and Cox proportional hazards models to test the association between these variants and history of stroke.Results: In regression models, the rs4646994 variant of ACE (I/I and I/D genotypes was associated with higher prevalence adjusted prevalence odds ratio [APOR] = 2.66 [1.28, 5.55] and 2.23 [1.30, 3.85], respectively compared with the D/D genotype. The heterozygous genotype of MTHFR rs1801131 (A/C was associated with lower prevalence of stroke (APOR = 0.48 [0.25, 0.92] compared with A/A and C/C genotypes. For rs2070744 of NOS3, both the C/T genotype (APOR = 1.91 [1.12, 3.27] and C/C genotype (APOR = 3.31 [1.66, 6.60] were associated with higher prevalence of stroke compared with the T/T genotype.Conclusion: Our findings suggest an association between the prevalence of self-reported stroke and polymorphisms in ACE, MTHFR, and NOS3 in a population-based sample. Keywords: stroke, gene, polymorphisms, NHANES III, gene

  18. Network-Based Method for Identifying Co- Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues.

    Science.gov (United States)

    Chen, Lei; Pan, Hongying; Zhang, Yu-Hang; Feng, Kaiyan; Kong, XiangYin; Huang, Tao; Cai, Yu-Dong

    2017-10-02

    Bone and dental diseases are serious public health problems. Most current clinical treatments for these diseases can produce side effects. Regeneration is a promising therapy for bone and dental diseases, yielding natural tissue recovery with few side effects. Because soft tissues inside the bone and dentin are densely populated with nerves and vessels, the study of bone and dentin regeneration should also consider the co-regeneration of nerves and vessels. In this study, a network-based method to identify co-regeneration genes for bone, dentin, nerve and vessel was constructed based on an extensive network of protein-protein interactions. Three procedures were applied in the network-based method. The first procedure, searching, sought the shortest paths connecting regeneration genes of one tissue type with regeneration genes of other tissues, thereby extracting possible co-regeneration genes. The second procedure, testing, employed a permutation test to evaluate whether possible genes were false discoveries; these genes were excluded by the testing procedure. The last procedure, screening, employed two rules, the betweenness ratio rule and interaction score rule, to select the most essential genes. A total of seventeen genes were inferred by the method, which were deemed to contribute to co-regeneration of at least two tissues. All these seventeen genes were extensively discussed to validate the utility of the method.

  19. Report of a Workshop on Parallelization of Coupled Cluster Methods

    Energy Technology Data Exchange (ETDEWEB)

    Rodney J. Bartlett Erik Deumens

    2008-05-08

    The benchmark, ab initio quantum mechanical methods for molecular structure and spectra are now recognized to be coupled-cluster theory. To benefit from the transiiton to tera- and petascale computers, such coupled-cluster methods must be created to run in a scalable fashion. This Workshop, held as a aprt of the 48th annual Sanibel meeting, at St. Simns, Island, GA, addressed that issue. Representatives of all the principal scientific groups who are addressing this topic were in attendance, to exchange information about the problem and to identify what needs to be done in the future. This report summarized the conclusions of the workshop.

  20. Methods and compositions for controlling gene expression by RNA processing

    Energy Technology Data Exchange (ETDEWEB)

    Doudna, Jennifer A.; Qi, Lei S.; Haurwitz, Rachel E.; Arkin, Adam P.

    2017-08-29

    The present disclosure provides nucleic acids encoding an RNA recognition sequence positioned proximal to an insertion site for the insertion of a sequence of interest; and host cells genetically modified with the nucleic acids. The present disclosure also provides methods of modifying the activity of a target RNA, and kits and compositions for carrying out the methods.

  1. Reporting and methods in clinical prediction research: a systematic review.

    Directory of Open Access Journals (Sweden)

    Walter Bouwmeester

    Full Text Available BACKGROUND: We investigated the reporting and methods of prediction studies, focusing on aims, designs, participant selection, outcomes, predictors, statistical power, statistical methods, and predictive performance measures. METHODS AND FINDINGS: We used a full hand search to identify all prediction studies published in 2008 in six high impact general medical journals. We developed a comprehensive item list to systematically score conduct and reporting of the studies, based on recent recommendations for prediction research. Two reviewers independently scored the studies. We retrieved 71 papers for full text review: 51 were predictor finding studies, 14 were prediction model development studies, three addressed an external validation of a previously developed model, and three reported on a model's impact on participant outcome. Study design was unclear in 15% of studies, and a prospective cohort was used in most studies (60%. Descriptions of the participants and definitions of predictor and outcome were generally good. Despite many recommendations against doing so, continuous predictors were often dichotomized (32% of studies. The number of events per predictor as a measure of statistical power could not be determined in 67% of the studies; of the remainder, 53% had fewer than the commonly recommended value of ten events per predictor. Methods for a priori selection of candidate predictors were described in most studies (68%. A substantial number of studies relied on a p-value cut-off of p<0.05 to select predictors in the multivariable analyses (29%. Predictive model performance measures, i.e., calibration and discrimination, were reported in 12% and 27% of studies, respectively. CONCLUSIONS: The majority of prediction studies in high impact journals do not follow current methodological recommendations, limiting their reliability and applicability.

  2. A novel binary T-vector with the GFP reporter gene for promoter characterization.

    Directory of Open Access Journals (Sweden)

    Shu-Ye Jiang

    Full Text Available Several strategies have been developed to clone PCR fragments into desired vectors. However, most of commercially available T-vectors are not binary vectors and cannot be directly used for Agrobacterium-mediated plant genetic transformation. In this study, a novel binary T-vector was constructed by integrating two AhdI restriction sites into the backbone vector pCAMBIA 1300. The T-vector also contains a GFP reporter gene and thus, can be used to analyze promoter activity by monitoring the reporter gene. On the other hand, identification and characterization of various promoters not only benefit the functional annotation of their genes but also provide alternative candidates to be used to drive interesting genes for plant genetic improvement by transgenesis. More than 1,000 putative pollen-specific rice genes have been identified in a genome-wide level. Among them, 67 highly expressed genes were further characterized. One of the pollen-specific genes LOC_Os10g35930 was further surveyed in its expression patterns with more details by quantitative real-time reverse-transcription PCR (qRT-PCR analysis. Finally, its promoter activity was further investigated by analyzing transgenic rice plants carrying the promoter::GFP cassette, which was constructed from the newly developed T-vector. The reporter GFP gene expression in these transgenic plants showed that the promoter was active only in mature but not in germinated pollens.

  3. A virus-induced gene silencing method to study soybean cyst nematode parasitism in Glycine max

    OpenAIRE

    Kandoth, Pramod K; Heinz, Robert; Yeckel, Greg; Gross, Nathan W; Juvale, Parijat S; Hill, John; Whitham, Steven A.; Baum, Thomas J.; Mitchum, Melissa G.

    2013-01-01

    Background Bean pod mottle virus (BPMV) based virus-induced gene silencing (VIGS) vectors have been developed and used in soybean for the functional analysis of genes involved in disease resistance to foliar pathogens. However, BPMV-VIGS protocols for studying genes involved in disease resistance or symbiotic associations with root microbes have not been developed. Findings Here we describe a BPMV-VIGS protocol suitable for reverse genetic studies in soybean roots. We use this method for anal...

  4. Dual-therapeutic reporter genes fusion for enhanced cancer gene therapy and imaging.

    Science.gov (United States)

    Sekar, T V; Foygel, K; Willmann, J K; Paulmurugan, R

    2013-05-01

    Two of the successful gene-directed enzyme prodrug therapies include herpes simplex virus-thymidine kinase (HSV1-TK) enzyme-ganciclovir prodrug and the Escherichia coli nitroreductase (NTR) enzyme-CB1954 prodrug strategies; these enzyme-prodrug combinations produce activated cytotoxic metabolites of the prodrugs capable of tumor cell death by inhibiting DNA synthesis and killing quiescent cells, respectively. Both these strategies also affect significant bystander cell killing of neighboring tumor cells that do not express these enzymes. We have developed a dual-combination gene strategy, where we identified HSV1-TK and NTR fused in a particular orientation can effectively kill tumor cells when the tumor cells are treated with a fusion HSV1-TK-NTR gene- along with a prodrug combination of GCV and CB1954. In order to determine whether the dual-system demonstrate superior therapeutic efficacy than either HSV1-TK or NTR systems alone, we conducted both in vitro and in vivo tumor xenograft studies using triple negative SUM159 breast cancer cells, by evaluating the efficacy of cell death by apoptosis and necrosis upon treatment with the dual HSV1-TK genes-GCV-CB1954 prodrugs system, and compared the efficiency to HSV1-TK-GCV and NTR-CB1954. Our cell-based studies, tumor regression studies in xenograft mice, histological analyses of treated tumors and bystander studies indicate that the dual HSV1-TK-NTR-prodrug system is two times more efficient even with half the doses of both prodrugs than the respective single gene-prodrug system, as evidenced by enhanced apoptosis and necrosis of tumor cells in vitro in culture and xenograft of tumor tissues in animals.

  5. Monitoring cell-autonomous circadian clock rhythms of gene expression using luciferase bioluminescence reporters.

    Science.gov (United States)

    Ramanathan, Chidambaram; Khan, Sanjoy K; Kathale, Nimish D; Xu, Haiyan; Liu, Andrew C

    2012-09-27

    In mammals, many aspects of behavior and physiology such as sleep-wake cycles and liver metabolism are regulated by endogenous circadian clocks (reviewed). The circadian time-keeping system is a hierarchical multi-oscillator network, with the central clock located in the suprachiasmatic nucleus (SCN) synchronizing and coordinating extra-SCN and peripheral clocks elsewhere. Individual cells are the functional units for generation and maintenance of circadian rhythms, and these oscillators of different tissue types in the organism share a remarkably similar biochemical negative feedback mechanism. However, due to interactions at the neuronal network level in the SCN and through rhythmic, systemic cues at the organismal level, circadian rhythms at the organismal level are not necessarily cell-autonomous. Compared to traditional studies of locomotor activity in vivo and SCN explants ex vivo, cell-based in vitro assays allow for discovery of cell-autonomous circadian defects. Strategically, cell-based models are more experimentally tractable for phenotypic characterization and rapid discovery of basic clock mechanisms. Because circadian rhythms are dynamic, longitudinal measurements with high temporal resolution are needed to assess clock function. In recent years, real-time bioluminescence recording using firefly luciferase as a reporter has become a common technique for studying circadian rhythms in mammals, as it allows for examination of the persistence and dynamics of molecular rhythms. To monitor cell-autonomous circadian rhythms of gene expression, luciferase reporters can be introduced into cells via transient transfection or stable transduction. Here we describe a stable transduction protocol using lentivirus-mediated gene delivery. The lentiviral vector system is superior to traditional methods such as transient transfection and germline transmission because of its efficiency and versatility: it permits efficient delivery and stable integration into the host

  6. Methods for causal inference from gene perturbation experiments and validation

    DEFF Research Database (Denmark)

    Meinshausen, Nicolai; Hauser, Alain; Mooij, Joris M

    2016-01-01

    Inferring causal effects from observational and interventional data is a highly desirable but ambitious goal. Many of the computational and statistical methods are plagued by fundamental identifiability issues, instability, and unreliable performance, especially for large-scale systems with many...

  7. Joint Analysis Method for Major Genes Controlling Multiple Correlated Quantitative Traits

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Based on the major gene and polygene mixed inheritance model for multiple correlated quantitative traits, the authors proposed a new joint segregation analysis method of major gene controlling multiple correlated quantitative traits, which include major gene detection and its effect and variation estimation. The effect and variation of major gene are estimated by the maximum likelihood method implemented via expectation-maximization (EM) algorithm. Major gene is tested with the likelihood ratio (LR) test statistic. Extensive simulation studies showed that joint analysis not only increases the statistical power of major gene detection but also improves the precision and accuracy of major gene effect estimates. An example of the plant height and the number of tiller of F2 population in rice cross Duonieai × Zhonghua 11 was used in the illustration. The results indicated that the genetic difference of these two traits in this cross refers to only one pleiotropic major gene. The additive effect and dominance effect of the major gene are estimated as -21.3 and 40.6 cm on plant height, and 22.7 and -25.3 on number of tiller, respectively. The major gene shows overdominance for plant height and close to complete dominance for number of tillers.

  8. Ranking: a closer look on globalisation methods for normalisation of gene expression arrays

    Science.gov (United States)

    Kroll, Torsten C.; Wölfl, Stefan

    2002-01-01

    Data from gene expression arrays are influenced by many experimental parameters that lead to variations not simply accessible by standard quantification methods. To compare measurements from gene expression array experiments, quantitative data are commonly normalised using reference genes or global normalisation methods based on mean or median values. These methods are based on the assumption that (i) selected reference genes are expressed at a standard level in all experiments or (ii) that mean or median signal of expression will give a quantitative reference for each individual experiment. We introduce here a new ranking diagram, with which we can show how the different normalisation methods compare, and how they are influenced by variations in measurements (noise) that occur in every experiment. Furthermore, we show that an upper trimmed mean provides a simple and robust method for normalisation of larger sets of experiments by comparative analysis. PMID:12034851

  9. Final Report: Symposium on Adaptive Methods for Partial Differential Equations

    Energy Technology Data Exchange (ETDEWEB)

    Pernice, M.; Johnson, C.R.; Smith, P.J.; Fogelson, A.

    1998-12-10

    OAK-B135 Final Report: Symposium on Adaptive Methods for Partial Differential Equations. Complex physical phenomena often include features that span a wide range of spatial and temporal scales. Accurate simulation of such phenomena can be difficult to obtain, and computations that are under-resolved can even exhibit spurious features. While it is possible to resolve small scale features by increasing the number of grid points, global grid refinement can quickly lead to problems that are intractable, even on the largest available computing facilities. These constraints are particularly severe for three dimensional problems that involve complex physics. One way to achieve the needed resolution is to refine the computational mesh locally, in only those regions where enhanced resolution is required. Adaptive solution methods concentrate computational effort in regions where it is most needed. These methods have been successfully applied to a wide variety of problems in computational science and engineering. Adaptive methods can be difficult to implement, prompting the development of tools and environments to facilitate their use. To ensure that the results of their efforts are useful, algorithm and tool developers must maintain close communication with application specialists. Conversely it remains difficult for application specialists who are unfamiliar with the methods to evaluate the trade-offs between the benefits of enhanced local resolution and the effort needed to implement an adaptive solution method.

  10. Non-invasive imaging using reporter genes altering cellular water permeability

    Science.gov (United States)

    Mukherjee, Arnab; Wu, Di; Davis, Hunter C.; Shapiro, Mikhail G.

    2016-12-01

    Non-invasive imaging of gene expression in live, optically opaque animals is important for multiple applications, including monitoring of genetic circuits and tracking of cell-based therapeutics. Magnetic resonance imaging (MRI) could enable such monitoring with high spatiotemporal resolution. However, existing MRI reporter genes based on metalloproteins or chemical exchange probes are limited by their reliance on metals or relatively low sensitivity. Here we introduce a new class of MRI reporters based on the human water channel aquaporin 1. We show that aquaporin overexpression produces contrast in diffusion-weighted MRI by increasing tissue water diffusivity without affecting viability. Low aquaporin levels or mixed populations comprising as few as 10% aquaporin-expressing cells are sufficient to produce MRI contrast. We characterize this new contrast mechanism through experiments and simulations, and demonstrate its utility in vivo by imaging gene expression in tumours. Our results establish an alternative class of sensitive, metal-free reporter genes for non-invasive imaging.

  11. A method for developing regulatory gene set networks to characterize complex biological systems.

    Science.gov (United States)

    Suphavilai, Chayaporn; Zhu, Liugen; Chen, Jake Y

    2015-01-01

    Traditional approaches to studying molecular networks are based on linking genes or proteins. Higher-level networks linking gene sets or pathways have been proposed recently. Several types of gene set networks have been used to study complex molecular networks such as co-membership gene set networks (M-GSNs) and co-enrichment gene set networks (E-GSNs). Gene set networks are useful for studying biological mechanism of diseases and drug perturbations. In this study, we proposed a new approach for constructing directed, regulatory gene set networks (R-GSNs) to reveal novel relationships among gene sets or pathways. We collected several gene set collections and high-quality gene regulation data in order to construct R-GSNs in a comparative study with co-membership gene set networks (M-GSNs). We described a method for constructing both global and disease-specific R-GSNs and determining their significance. To demonstrate the potential applications to disease biology studies, we constructed and analysed an R-GSN specifically built for Alzheimer's disease. R-GSNs can provide new biological insights complementary to those derived at the protein regulatory network level or M-GSNs. When integrated properly to functional genomics data, R-GSNs can help enable future research on systems biology and translational bioinformatics.

  12. Molecular methods for bacterial genotyping and analyzed gene regions

    Directory of Open Access Journals (Sweden)

    İbrahim Halil Yıldırım1, Seval Cing Yıldırım2, Nadir Koçak3

    2011-06-01

    Full Text Available Bacterial strain typing is an important process for diagnosis, treatment and epidemiological investigations. Current bacterial strain typing methods may be classified into two main categories: phenotyping and genotyping. Phenotypic characters are the reflection of genetic contents. Genotyping, which refers discrimination of bacterial strains based on their genetic content, has recently become widely used for bacterial strain typing. The methods already used in genotypingof bacteria are quite different from each other. In this review we tried to summarize the basic principles of DNA-based methods used in genotyping of bacteria and describe some important DNA regions that are used in genotyping of bacteria. J Microbiol Infect Dis 2011;1(1:42-46.

  13. Space experiment "Rad Gene"-report 1; p53-Dependent gene expression in human cultured cells exposed to space environment

    Science.gov (United States)

    Takahashi, Akihisa; Ohnishi, Takeo; Suzuki, Hiromi; Omori, Katsunori; Seki, Masaya; Hashizume, Toko; Shimazu, Toru; Ishioka, Noriaki

    The space environment contains two major biologically significant influences: space radiations and microgravity. A p53 tumor suppressor protein plays a role as a guardian of the genome through the activity of p53-centered signal transduction pathways. The aim of this study was to clarify the biological effects of space radiations, microgravity and a space environment on the gene and protein expression of p53-dependent regulated genes. Space experiments were performed with two human cultured lymphoblastoid cell lines: one cells line (TSCE5) bears a wild-type p53 gene status, and another cells line (WTK1) bears a mutated p53 gene status. Un-der one gravity or microgravity condition, the cells were grown in the cell biology experimental facility (CBEF) of the International Space Station (ISS) for 8 days without experiencing the stress during launching and landing because the cells were frozen during these periods. Ground control samples also were cultured for 8 days in the CBEF on the ground during the same periods as space flight. Gene and protein expression was analyzed by using DNA chip (a 44k whole human genome microarray, Agilent Technologies Inc.) and protein chip (PanoramaTM Ab MicroArray, Sigma-Aldrich Co.), respectively. In addition, we analyzed the gene expression in cultured cells after space flight during 133 days with frozen condition. We report the results and discussion from the viewpoint of the functions of the up-regulated and down-regulated genes after an exposure to space radiations and/or microgravity. The initial goal of this space experiment was completely achieved. It is expected that data from this type of work will be helpful in designing physical protection from the deleterious effects of space radiations during long term stays in space.

  14. THE DETECTION OF MDR1 GENE EXPRESSION USING FLUOROGENIC PROBE QUANTITATIVE RT-PCR METHOD

    Institute of Scientific and Technical Information of China (English)

    高劲松; 马刚; 仝明; 陈佩毅; 王传华; 何蕴韶

    2001-01-01

    Objective: To establish a fluoregenic probe quantitative RT-PCR (FQ-RT-PCR) method for detection of the expression of MDR1 gene in tumor cells and to investigate the expression of MDR1 gene in patients with lung cancer. Methods: The fluorogenic quantitative RT-PCR method for detection of the expression of MDR1 gene was established. K562/ADM and K562 cell lines or 45 tumor tissues from patients with lung cancer were examined on PE Applied Biosystems 7700 Sequence Detection machine. Results: the average levels of MDR1 gene expression in K562/ADM cells and K562 cells were (6.86±0.65)× 107copies/mg RNA and (8.49±0.67)×105 copies/mg RNA, respectively. The former was 80.8 times greater than the latter. Each sample was measured 10 times and the coefficient variation (CV) was 9.5% and 7.9%, respectively. Various levels of MDR1 gene expression were detected in 12 of 45 patients with lung cancer. Conclusion: Quantitative detection of MDR1 gene expression in tumor cells was achieved by using FQ-RT-PCR. FQ-RT-PCR is an accurate, and sensitive method and easy to perform. Using this method, low levels of MDR1 gene expression could be detected in 24% of the patients with lung cancer.

  15. First report of the blaVIM gene in environmental isolates of Buttiauxella sp.

    Science.gov (United States)

    Pitondo-Silva, André; Martins, Vinicius Vicente; Stehling, Eliana Guedes

    2015-04-01

    Several works have demonstrated the presence of metallo-β-lactamases (MBLs) in clinical bacteria. However, in environmental isolates, few works have reported on these enzymes. In this study, we report for the first time two environmental isolates of Buttiauxella sp. recovered from chrysanthemum plantations in Brazil containing blaVIM gene and producing MBLs.

  16. A relative variation-based method to unraveling gene regulatory networks.

    Directory of Open Access Journals (Sweden)

    Yali Wang

    Full Text Available Gene regulatory network (GRN reconstruction is essential in understanding the functioning and pathology of a biological system. Extensive models and algorithms have been developed to unravel a GRN. The DREAM project aims to clarify both advantages and disadvantages of these methods from an application viewpoint. An interesting yet surprising observation is that compared with complicated methods like those based on nonlinear differential equations, etc., methods based on a simple statistics, such as the so-called Z-score, usually perform better. A fundamental problem with the Z-score, however, is that direct and indirect regulations can not be easily distinguished. To overcome this drawback, a relative expression level variation (RELV based GRN inference algorithm is suggested in this paper, which consists of three major steps. Firstly, on the basis of wild type and single gene knockout/knockdown experimental data, the magnitude of RELV of a gene is estimated. Secondly, probability for the existence of a direct regulation from a perturbed gene to a measured gene is estimated, which is further utilized to estimate whether a gene can be regulated by other genes. Finally, the normalized RELVs are modified to make genes with an estimated zero in-degree have smaller RELVs in magnitude than the other genes, which is used afterwards in queuing possibilities of the existence of direct regulations among genes and therefore leads to an estimate on the GRN topology. This method can in principle avoid the so-called cascade errors under certain situations. Computational results with the Size 100 sub-challenges of DREAM3 and DREAM4 show that, compared with the Z-score based method, prediction performances can be substantially improved, especially the AUPR specification. Moreover, it can even outperform the best team of both DREAM3 and DREAM4. Furthermore, the high precision of the obtained most reliable predictions shows that the suggested algorithm may be

  17. Reporter Gene Silencing in Targeted Mouse Mutants Is Associated with Promoter CpG Island Methylation.

    Science.gov (United States)

    Kirov, Julia V; Adkisson, Michael; Nava, A J; Cipollone, Andreana; Willis, Brandon; Engelhard, Eric K; Lloyd, K C Kent; de Jong, Pieter; West, David B

    2015-01-01

    Targeted mutations in mouse disrupt local chromatin structure and may lead to unanticipated local effects. We evaluated targeted gene promoter silencing in a group of six mutants carrying the tm1a Knockout Mouse Project allele containing both a LacZ reporter gene driven by the native promoter and a neo selection cassette. Messenger RNA levels of the reporter gene and targeted gene were assessed by qRT-PCR, and methylation of the promoter CpG islands and LacZ coding sequence were evaluated by sequencing of bisulfite-treated DNA. Mutants were stratified by LacZ staining into presumed Silenced and Expressed reporter genes. Silenced mutants had reduced relative quantities LacZ mRNA and greater CpG Island methylation compared with the Expressed mutant group. Within the silenced group, LacZ coding sequence methylation was significantly and positively correlated with CpG Island methylation, while promoter CpG methylation was only weakly correlated with LacZ gene mRNA. The results support the conclusion that there is promoter silencing in a subset of mutants carrying the tm1a allele. The features of targeted genes which promote local silencing when targeted remain unknown.

  18. A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data

    KAUST Repository

    Abusamra, Heba

    2013-05-01

    Microarray technology has enriched the study of gene expression in such a way that scientists are now able to measure the expression levels of thousands of genes in a single experiment. Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. This thesis aims on a comparative study of state-of-the-art feature selection methods, classification methods, and the combination of them, based on gene expression data. We compared the efficiency of three different classification methods including: support vector machines, k- nearest neighbor and random forest, and eight different feature selection methods, including: information gain, twoing rule, sum minority, max minority, gini index, sum of variances, t- statistics, and one-dimension support vector machine. Five-fold cross validation was used to evaluate the classification performance. Two publicly available gene expression data sets of glioma were used for this study. Different experiments have been applied to compare the performance of the classification methods with and without performing feature selection. Results revealed the important role of feature selection in classifying gene expression data. By performing feature selection, the classification accuracy can be significantly boosted by using a small number of genes. The relationship of features selected in

  19. Novel method to load multiple genes onto a mammalian artificial chromosome.

    Directory of Open Access Journals (Sweden)

    Anna Tóth

    Full Text Available Mammalian artificial chromosomes are natural chromosome-based vectors that may carry a vast amount of genetic material in terms of both size and number. They are reasonably stable and segregate well in both mitosis and meiosis. A platform artificial chromosome expression system (ACEs was earlier described with multiple loading sites for a modified lambda-integrase enzyme. It has been shown that this ACEs is suitable for high-level industrial protein production and the treatment of a mouse model for a devastating human disorder, Krabbe's disease. ACEs-treated mutant mice carrying a therapeutic gene lived more than four times longer than untreated counterparts. This novel gene therapy method is called combined mammalian artificial chromosome-stem cell therapy. At present, this method suffers from the limitation that a new selection marker gene should be present for each therapeutic gene loaded onto the ACEs. Complex diseases require the cooperative action of several genes for treatment, but only a limited number of selection marker genes are available and there is also a risk of serious side-effects caused by the unwanted expression of these marker genes in mammalian cells, organs and organisms. We describe here a novel method to load multiple genes onto the ACEs by using only two selectable marker genes. These markers may be removed from the ACEs before therapeutic application. This novel technology could revolutionize gene therapeutic applications targeting the treatment of complex disorders and cancers. It could also speed up cell therapy by allowing researchers to engineer a chromosome with a predetermined set of genetic factors to differentiate adult stem cells, embryonic stem cells and induced pluripotent stem (iPS cells into cell types of therapeutic value. It is also a suitable tool for the investigation of complex biochemical pathways in basic science by producing an ACEs with several genes from a signal transduction pathway of interest.

  20. Novel method to load multiple genes onto a mammalian artificial chromosome.

    Science.gov (United States)

    Tóth, Anna; Fodor, Katalin; Praznovszky, Tünde; Tubak, Vilmos; Udvardy, Andor; Hadlaczky, Gyula; Katona, Robert L

    2014-01-01

    Mammalian artificial chromosomes are natural chromosome-based vectors that may carry a vast amount of genetic material in terms of both size and number. They are reasonably stable and segregate well in both mitosis and meiosis. A platform artificial chromosome expression system (ACEs) was earlier described with multiple loading sites for a modified lambda-integrase enzyme. It has been shown that this ACEs is suitable for high-level industrial protein production and the treatment of a mouse model for a devastating human disorder, Krabbe's disease. ACEs-treated mutant mice carrying a therapeutic gene lived more than four times longer than untreated counterparts. This novel gene therapy method is called combined mammalian artificial chromosome-stem cell therapy. At present, this method suffers from the limitation that a new selection marker gene should be present for each therapeutic gene loaded onto the ACEs. Complex diseases require the cooperative action of several genes for treatment, but only a limited number of selection marker genes are available and there is also a risk of serious side-effects caused by the unwanted expression of these marker genes in mammalian cells, organs and organisms. We describe here a novel method to load multiple genes onto the ACEs by using only two selectable marker genes. These markers may be removed from the ACEs before therapeutic application. This novel technology could revolutionize gene therapeutic applications targeting the treatment of complex disorders and cancers. It could also speed up cell therapy by allowing researchers to engineer a chromosome with a predetermined set of genetic factors to differentiate adult stem cells, embryonic stem cells and induced pluripotent stem (iPS) cells into cell types of therapeutic value. It is also a suitable tool for the investigation of complex biochemical pathways in basic science by producing an ACEs with several genes from a signal transduction pathway of interest.

  1. A new computational method for the detection of horizontal gene transfer events.

    Science.gov (United States)

    Tsirigos, Aristotelis; Rigoutsos, Isidore

    2005-01-01

    In recent years, the increase in the amounts of available genomic data has made it easier to appreciate the extent by which organisms increase their genetic diversity through horizontally transferred genetic material. Such transfers have the potential to give rise to extremely dynamic genomes where a significant proportion of their coding DNA has been contributed by external sources. Because of the impact of these horizontal transfers on the ecological and pathogenic character of the recipient organisms, methods are continuously sought that are able to computationally determine which of the genes of a given genome are products of transfer events. In this paper, we introduce and discuss a novel computational method for identifying horizontal transfers that relies on a gene's nucleotide composition and obviates the need for knowledge of codon boundaries. In addition to being applicable to individual genes, the method can be easily extended to the case of clusters of horizontally transferred genes. With the help of an extensive and carefully designed set of experiments on 123 archaeal and bacterial genomes, we demonstrate that the new method exhibits significant improvement in sensitivity when compared to previously published approaches. In fact, it achieves an average relative improvement across genomes of between 11 and 41% compared to the Codon Adaptation Index method in distinguishing native from foreign genes. Our method's horizontal gene transfer predictions for 123 microbial genomes are available online at http://cbcsrv.watson.ibm.com/HGT/.

  2. A screening method for the ALK fusion gene in NSCLC

    Directory of Open Access Journals (Sweden)

    Yoshiko eMurakami

    2012-03-01

    Full Text Available Lung cancer research has recently made significant progress in understanding the molecular pathogenesis and even the treatment of lung cancer. Such achievements are directly utilized in clinical practice. Indeed, the EML4-ALK fusion in non-small cell lung cancer (NSCLC was first described in 2007, and a molecularly targeted drug against the fusion was approved in 2011. However, lung cancer with the anaplastic lymphoma kinase (ALK fusion constitutes only a small fraction of lung cancers; thus, efficient patient selection is crucial for successful treatment using the ALK inhibitor. Currently, RT-PCR, fluorescent in-situ hybridization (FISH and immunohistochemistry are commonly used to detect the ALK fusion. Although FISH is currently the gold standard, there are no perfect methods for detecting the genetic alterations. This article discusses the advantages and disadvantages of the individual methods and possible criteria for selecting patients more likely to have the ALK fusion. If we can successfully screen patients, then ALK inhibitor treatment will be the best example of personalized therapy in terms of selecting patients with an uncommon genotype from those with the same tumor phenotype. In other words, it may offer a new challenge for current clinical oncology.

  3. Report of a chimeric origin of transposable elements in a bovine-coding gene.

    Science.gov (United States)

    Almeida, L M; Amaral, M E J; Silva, I T; Silva, W A; Riggs, P K; Carareto, C M

    2008-02-01

    Despite the wide distribution of transposable elements (TEs) in mammalian genomes, part of their evolutionary significance remains to be discovered. Today there is a substantial amount of evidence showing that TEs are involved in the generation of new exons in different species. In the present study, we searched 22,805 genes and reported the occurrence of TE-cassettes in coding sequences of 542 cow genes using the RepeatMasker program. Despite the significant number (542) of genes with TE insertions in exons only 14 (2.6%) of them were translated into protein, which we characterized as chimeric genes. From these chimeric genes, only the FAST kinase domains 3 (FASTKD3) gene, present on chromosome BTA 20, is a functional gene and showed evidence of the exaptation event. The genome sequence analysis showed that the last exon coding sequence of bovine FASTKD3 is approximately 85% similar to the ART2A retrotransposon sequence. In addition, comparison among FASTKD3 proteins shows that the last exon is very divergent from those of Homo sapiens, Pan troglodytes and Canis familiares. We suggest that the gene structure of bovine FASTKD3 gene could have originated by several ectopic recombinations between TE copies. Additionally, the absence of TE sequences in all other species analyzed suggests that the TE insertion is clade-specific, mainly in the ruminant lineage.

  4. Development of functional genomic tools in trematodes: RNA interference and luciferase reporter gene activity in Fasciola hepatica.

    Directory of Open Access Journals (Sweden)

    Gabriel Rinaldi

    Full Text Available The growing availability of sequence information from diverse parasites through genomic and transcriptomic projects offer new opportunities for the identification of key mediators in the parasite-host interaction. Functional genomics approaches and methods for the manipulation of genes are essential tools for deciphering the roles of genes and to identify new intervention targets in parasites. Exciting advances in functional genomics for parasitic helminths are starting to occur, with transgene expression and RNA interference (RNAi reported in several species of nematodes, but the area is still in its infancy in flatworms, with reports in just three species. While advancing in model organisms, there is a need to rapidly extend these technologies to other parasites responsible for several chronic diseases of humans and cattle. In order to extend these approaches to less well studied parasitic worms, we developed a test method for the presence of a viable RNAi pathway by silencing the exogenous reporter gene, firefly luciferase (fLUC. We established the method in the human blood fluke Schistosoma mansoni and then confirmed its utility in the liver fluke Fasciola hepatica. We transformed newly excysted juveniles of F. hepatica by electroporation with mRNA of fLUC and three hours later were able to detect luciferase enzyme activity, concentrated mainly in the digestive ceca. Subsequently, we tested the presence of an active RNAi pathway in F. hepatica by knocking down the exogenous luciferase activity by introduction into the transformed parasites of double-stranded RNA (dsRNA specific for fLUC. In addition, we tested the RNAi pathway targeting an endogenous F. hepatica gene encoding leucine aminopeptidase (FhLAP, and observed a significant reduction in specific mRNA levels. In summary, these studies demonstrated the utility of RNAi targeting reporter fLUC as a reporter gene assay to establish the presence of an intact RNAi pathway in helminth

  5. Inhibition of Reporter Genes by Small Interfering RNAs in Cell Culture and Living Fish

    DEFF Research Database (Denmark)

    Larashati, Sekar; Schyth, Brian Dall; Lorenzen, Niels

    ). But evidence of specific siRNA inhibition in living fish is still needed. Using the small interfering RNAs (siRNAs), messenger RNA (mRNA) can be targeted resulting in degradation of targeted transcript or translational repression. Reporter genes such as luciferase and green fluorescence protein (GFP) can......RNA interference is a mechanism for silencing specific genes. It has been applied in cell culture to inhibit expression of genes involved in disease including viral genes as recently shown for the fish pathogenic rhabdovirus viral haemorrhagic septicaemia virus or VHSV (Bohle et al., 2011...... be used to observe the knock down effect by siRNAs designed to target these reporters. One aim of this project is to verify the specific knock down effect of siRNAs in cell culture and in living fish and to establish easy-read out models for testing the effect especially in vivo. Cell culture from human...

  6. Inhibition of Reporter Genes by Small Interfering RNAs in Cell Culture and Living Fish

    DEFF Research Database (Denmark)

    Larashati, Sekar; Schyth, Brian Dall; Lorenzen, Niels

    2011-01-01

    ). But evidence of specific siRNA inhibition in living fish is still needed. Using the small interfering RNAs (siRNAs), messenger RNA (mRNA) can be targeted resulting in degradation of targeted transcript or translational repression. Reporter genes such as luciferase and green fluorescence protein (GFP) can......RNA interference is a mechanism for silencing specific genes. It has been applied in cell culture to inhibit expression of genes involved in disease including viral genes as recently shown for the fish pathogenic rhabdovirus viral haemorrhagic septicaemia virus or VHSV (Bohle et al., 2011...... be used to observe the knock down effect by siRNAs designed to target these reporters. One aim of this project is to verify the specific knock down effect of siRNAs in cell culture and in living fish and to establish easy-read out models for testing the effect especially in vivo. Cell culture from human...

  7. A computational method based on the integration of heterogeneous networks for predicting disease-gene associations.

    Directory of Open Access Journals (Sweden)

    Xingli Guo

    Full Text Available The identification of disease-causing genes is a fundamental challenge in human health and of great importance in improving medical care, and provides a better understanding of gene functions. Recent computational approaches based on the interactions among human proteins and disease similarities have shown their power in tackling the issue. In this paper, a novel systematic and global method that integrates two heterogeneous networks for prioritizing candidate disease-causing genes is provided, based on the observation that genes causing the same or similar diseases tend to lie close to one another in a network of protein-protein interactions. In this method, the association score function between a query disease and a candidate gene is defined as the weighted sum of all the association scores between similar diseases and neighbouring genes. Moreover, the topological correlation of these two heterogeneous networks can be incorporated into the definition of the score function, and finally an iterative algorithm is designed for this issue. This method was tested with 10-fold cross-validation on all 1,126 diseases that have at least a known causal gene, and it ranked the correct gene as one of the top ten in 622 of all the 1,428 cases, significantly outperforming a state-of-the-art method called PRINCE. The results brought about by this method were applied to study three multi-factorial disorders: breast cancer, Alzheimer disease and diabetes mellitus type 2, and some suggestions of novel causal genes and candidate disease-causing subnetworks were provided for further investigation.

  8. Genetics and molecular biology of methanogen genes. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Konisky, J.

    1997-10-07

    Adenylate kinase has been isolated from four related methanogenic members of the Archaea. For each the optimum temperature for enzyme activity was similar to the temperature for optimal microbial growth and was approximately 30 C for Methanococcus voltage, 70 C for Methanococcus thermolithotrophicus, 80 C for Methanococcus igneus and 80--90 C for Methanococcus jannaschii. The enzymes were sensitive to the adenylate kinase inhibitor, Ap{sub 5}A [P{sup 1}, P{sup 5}-di(adenosine-5{prime}) pentaphosphate], a property that was exploited to purify the enzymes by CIBACRON Blue affinity chromatography. The enzymes had an estimated molecular weight (approximately 23--25 kDa) in the range common for adenylate kinases. Each of the enzymes had a region of amino acid sequence close to its N-terminus that was similar to the canonical P-loop sequence reported for all adenylate kinases. However, the methanogen sequences lacked a lysine residue that has previously been found to be invariant in adenylate kinases including an enzyme isolated from the Archeon, Sulfolobus acidocaldarius. If verified as a nucleotide binding domain, the methanogen sequence would represent a novel nucleotide binding motif. There was no correlation between amino acid abundance and the optimal temperature for enzyme activity.

  9. Simple Moving Average: A Method of Reporting Evolving Complication Rates.

    Science.gov (United States)

    Harmsen, Samuel M; Chang, Yu-Hui H; Hattrup, Steven J

    2016-09-01

    Surgeons often cite published complication rates when discussing surgery with patients. However, these rates may not truly represent current results or an individual surgeon's experience with a given procedure. This study proposes a novel method to more accurately report current complication trends that may better represent the patient's potential experience: simple moving average. Reverse shoulder arthroplasty (RSA) is an increasingly popular and rapidly evolving procedure with highly variable reported complication rates. The authors used an RSA model to test and evaluate the usefulness of simple moving average. This study reviewed 297 consecutive RSA procedures performed by a single surgeon and noted complications in 50 patients (16.8%). Simple moving average for total complications as well as minor, major, acute, and chronic complications was then calculated using various lag intervals. These findings showed trends toward fewer total, major, and chronic complications over time, and these trends were represented best with a lag of 75 patients. Average follow-up within this lag was 26.2 months. Rates for total complications decreased from 17.3% to 8% at the most recent simple moving average. The authors' traditional complication rate with RSA (16.8%) is consistent with reported rates. However, the use of simple moving average shows that this complication rate decreased over time, with current trends (8%) markedly lower, giving the senior author a more accurate picture of his evolving complication trends with RSA. Compared with traditional methods, simple moving average can be used to better reflect current trends in complication rates associated with a surgical procedure and may better represent the patient's potential experience. [Orthopedics.2016; 39(5):e869-e876.].

  10. Introduction of a PCR-RFLP method for the detection of two mutations in VHL gene

    Directory of Open Access Journals (Sweden)

    Antonio Alejandro Esperón

    2013-07-01

    Full Text Available Background: Von Hippel-Lindau disease is an inherited neoplastic disorder caused by germline mutations in the VHL gene. In Cuba, molecular diagnosis is performed by the method of single-strand conformation polymorphism of DNA of the three exons of the gene followed by sequencing. This method is expensive, complicated and time-consuming. Objective: to describe the introduction of the molecular diagnosis of mutations c.362A>G and c.481C> in the VHL gene by PCR-RFLP. Methods: computer software CLC Sequence viewer 6.5.1 was used to identify restriction enzymes with cleavage sites modified by mutation c.362A>G in the exon 2 and c.481C>T in exon 3 in the VHL gene. DNA samples of patients already diagnosed through SSCP-sequencing were used. Such samples were amplified by PCR method followed by the enzymatic digestion with SfaNI and BtgZI restriction enzymes. Amplified fragments were analyzed by agarose gel electrophoresis. Results obtained using both methods were compared. Results: effectiveness of the PRC-RFLP method for the diagnosis of c.362A>G and c.481C>T mutations in the VHL gene was standardized and proved. Conclusions: PCR-RFLP method has advantages over SSCP-sequencing strategy for establishing a fast, reproducible and reliable diagnosis of VHL disease in family cases molecularly characterized.

  11. Estimating Fuel Cycle Externalities: Analytical Methods and Issues, Report 2

    Energy Technology Data Exchange (ETDEWEB)

    Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

    1994-07-01

    of complex issues that also have not been fully addressed. This document contains two types of papers that seek to fill part of this void. Some of the papers describe analytical methods that can be applied to one of the five steps of the damage function approach. The other papers discuss some of the complex issues that arise in trying to estimate externalities. This report, the second in a series of eight reports, is part of a joint study by the U.S. Department of Energy (DOE) and the Commission of the European Communities (EC)* on the externalities of fuel cycles. Most of the papers in this report were originally written as working papers during the initial phases of this study. The papers provide descriptions of the (non-radiological) atmospheric dispersion modeling that the study uses; reviews much of the relevant literature on ecological and health effects, and on the economic valuation of those impacts; contains several papers on some of the more complex and contentious issues in estimating externalities; and describes a method for depicting the quality of scientific information that a study uses. The analytical methods and issues that this report discusses generally pertain to more than one of the fuel cycles, though not necessarily to all of them. The report is divided into six parts, each one focusing on a different subject area.

  12. SCGPred: A Score-based Method for Gene Structure Prediction by Combining Multiple Sources of Evidence

    Institute of Scientific and Technical Information of China (English)

    Xiao Li; Qingan Ren; Yang Weng; Haoyang Cai; Yunmin Zhu; Yizheng Zhang

    2008-01-01

    Predicting protein-coding genes still remains a significant challenge. Although a variety of computational programs that use commonly machine learning methods have emerged, the accuracy of predictions remains a low level when implementing in large genomic sequences. Moreover, computational gene finding in newly sequenced genomes is especially a difficult task due to the absence of a training set of abundant validated genes. Here we present a new gene-finding program, SCGPred,to improve the accuracy of prediction by combining multiple sources of evidence.SCGPred can perform both supervised method in previously well-studied genomes and unsupervised one in novel genomes. By testing with datasets composed of large DNA sequences from human and a novel genome of Ustilago maydi, SCGPred gains a significant improvement in comparison to the popular ab initio gene predictors. We also demonstrate that SCGPred can significantly improve prediction in novel genomes by combining several foreign gene finders with similarity alignments, which is superior to other unsupervised methods. Therefore, SCGPred can serve as an alternative gene-finding tool for newly sequenced eukaryotic genomes. The program is freely available at http://bio.scu.edu.cn/SCGPred/.

  13. New imaging probes to track cell fate: reporter genes in stem cell research.

    Science.gov (United States)

    Jurgielewicz, Piotr; Harmsen, Stefan; Wei, Elizabeth; Bachmann, Michael H; Ting, Richard; Aras, Omer

    2017-07-03

    Cell fate is a concept used to describe the differentiation and development of a cell in its organismal context over time. It is important in the field of regenerative medicine, where stem cell therapy holds much promise but is limited by our ability to assess its efficacy, which is mainly due to the inability to monitor what happens to the cells upon engraftment to the damaged tissue. Currently, several imaging modalities can be used to track cells in the clinical setting; however, they do not satisfy many of the criteria necessary to accurately assess several aspects of cell fate. In recent years, reporter genes have become a popular option for tracking transplanted cells, via various imaging modalities in small mammalian animal models. This review article examines the reporter gene strategies used in imaging modalities such as MRI, SPECT/PET, Optoacoustic and Bioluminescence Imaging. Strengths and limitations of the use of reporter genes in each modality are discussed.

  14. GRAPE: a pathway template method to characterize tissue-specific functionality from gene expression profiles.

    Science.gov (United States)

    Klein, Michael I; Stern, David F; Zhao, Hongyu

    2017-06-26

    Personalizing treatment regimes based on gene expression profiles of individual tumors will facilitate management of cancer. Although many methods have been developed to identify pathways perturbed in tumors, the results are often not generalizable across independent datasets due to the presence of platform/batch effects. There is a need to develop methods that are robust to platform/batch effects and able to identify perturbed pathways in individual samples. We present Gene-Ranking Analysis of Pathway Expression (GRAPE) as a novel method to identify abnormal pathways in individual samples that is robust to platform/batch effects in gene expression profiles generated by multiple platforms. GRAPE first defines a template consisting of an ordered set of pathway genes to characterize the normative state of a pathway based on the relative rankings of gene expression levels across a set of reference samples. This template can be used to assess whether a sample conforms to or deviates from the typical behavior of the reference samples for this pathway. We demonstrate that GRAPE performs well versus existing methods in classifying tissue types within a single dataset, and that GRAPE achieves superior robustness and generalizability across different datasets. A powerful feature of GRAPE is the ability to represent individual gene expression profiles as a vector of pathways scores. We present applications to the analyses of breast cancer subtypes and different colonic diseases. We perform survival analysis of several TCGA subtypes and find that GRAPE pathway scores perform well in comparison to other methods. GRAPE templates offer a novel approach for summarizing the behavior of gene-sets across a collection of gene expression profiles. These templates offer superior robustness across distinct experimental batches compared to existing methods. GRAPE pathway scores enable identification of abnormal gene-set behavior in individual samples using a non-competitive approach that

  15. Validation and implementation of a method for microarray gene expression profiling of minor B-cell subpopulations in man

    DEFF Research Database (Denmark)

    Bergkvist, Kim Steve; Nyegaard, Mette; Bøgsted, Martin;

    2014-01-01

    Abstract BACKGROUND: This report describes a method for the generation of global gene expression profiles from low frequent B-cell subsets by using fluorescence-activated cell sorting and RNA amplification. However, some of the differentiating compartments involve a low number of cells...... and therefore it is important to optimize and validate each step in the procedure. METHODS: Normal lymphoid tissues from blood, tonsils, thymus and bone marrow were immunophenotyped by the 8-colour Euroflow panel using multiparametric flow cytometry. Subsets of B-cells containing cell numbers ranging from 800.......9 for all). Comparison of qPCR data in samples with or without amplification for 8 genes showed that a relative difference between six cell lines was preserved (r >= 0.9). Second, a comparison of cells sorted into PrepProtect, RNAlater or directly into lysis/binding buffer showed a higher yield of purified...

  16. Special section: Statistical methods for next-generation gene sequencing data

    OpenAIRE

    Kafadar, Karen

    2012-01-01

    This issue includes six articles that develop and apply statistical methods for the analysis of gene sequencing data of different types. The methods are tailored to the different data types and, in each case, lead to biological insights not readily identified without the use of statistical methods. A common feature in all articles is the development of methods for analyzing simultaneously data of different types (e.g., genotype, phenotype, pedigree, etc.); that is, using data of one type to i...

  17. A systemic lupus erythematosus gene expression array in disease diagnosis and classification: a preliminary report.

    Science.gov (United States)

    Juang, Y-T; Peoples, C; Kafri, R; Kyttaris, V C; Sunahori, K; Kis-Toth, K; Fitzgerald, L; Ergin, S; Finnell, M; Tsokos, G C

    2011-03-01

    Systemic lupus erythematosus (SLE) is a clinically heterogeneous disease diagnosed on the presence of a constellation of clinical and laboratory findings. At the pathogenetic level, multiple factors using diverse biochemical and molecular pathways have been recognized. Succinct recognition and classification of clinical disease subsets, as well as the availability of disease biomarkers, remains largely unsolved. Based on information produced by the present authors' and other laboratories, a lupus gene expression array consisting of 30 genes, previously claimed to contribute to aberrant function of T cells, was developed. An additional eight genes were included as controls. Peripheral blood was obtained from 10 patients (19 samples) with SLE and six patients with rheumatoid arthritis (RA) as well as 19 healthy controls. T cell mRNA was subjected to reverse transcription and PCR, and the gene expression levels were measured. Conventional statistical analysis was performed along with principal component analysis (PCA) to capture the contribution of all genes to disease diagnosis and clinical parameters. The lupus gene expression array faithfully informed on the expression levels of genes. The recorded changes in expression reflect those reported in the literature by using a relatively small (5 ml) amount of peripheral blood. PCA of gene expression levels placed SLE samples apart from normal and RA samples regardless of disease activity. Individual principal components tended to define specific disease manifestations such as arthritis and proteinuria. Thus, a lupus gene expression array based on genes previously claimed to contribute to immune pathogenesis of SLE may define the disease, and principal components of the expression of 30 genes may define patients with specific disease manifestations.

  18. Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles

    Directory of Open Access Journals (Sweden)

    Lee Yun-Shien

    2008-03-01

    Full Text Available Abstract Background The hierarchical clustering tree (HCT with a dendrogram 1 and the singular value decomposition (SVD with a dimension-reduced representative map 2 are popular methods for two-way sorting the gene-by-array matrix map employed in gene expression profiling. While HCT dendrograms tend to optimize local coherent clustering patterns, SVD leading eigenvectors usually identify better global grouping and transitional structures. Results This study proposes a flipping mechanism for a conventional agglomerative HCT using a rank-two ellipse (R2E, an improved SVD algorithm for sorting purpose seriation by Chen 3 as an external reference. While HCTs always produce permutations with good local behaviour, the rank-two ellipse seriation gives the best global grouping patterns and smooth transitional trends. The resulting algorithm automatically integrates the desirable properties of each method so that users have access to a clustering and visualization environment for gene expression profiles that preserves coherent local clusters and identifies global grouping trends. Conclusion We demonstrate, through four examples, that the proposed method not only possesses better numerical and statistical properties, it also provides more meaningful biomedical insights than other sorting algorithms. We suggest that sorted proximity matrices for genes and arrays, in addition to the gene-by-array expression matrix, can greatly aid in the search for comprehensive understanding of gene expression structures. Software for the proposed methods can be obtained at http://gap.stat.sinica.edu.tw/Software/GAP.

  19. Rapid and tunable method to temporally control gene editing based on conditional Cas9 stabilization.

    Science.gov (United States)

    Senturk, Serif; Shirole, Nitin H; Nowak, Dawid G; Corbo, Vincenzo; Pal, Debjani; Vaughan, Alexander; Tuveson, David A; Trotman, Lloyd C; Kinney, Justin B; Sordella, Raffaella

    2017-02-22

    The CRISPR/Cas9 system is a powerful tool for studying gene function. Here, we describe a method that allows temporal control of CRISPR/Cas9 activity based on conditional Cas9 destabilization. We demonstrate that fusing an FKBP12-derived destabilizing domain to Cas9 (DD-Cas9) enables conditional Cas9 expression and temporal control of gene editing in the presence of an FKBP12 synthetic ligand. This system can be easily adapted to co-express, from the same promoter, DD-Cas9 with any other gene of interest without co-modulation of the latter. In particular, when co-expressed with inducible Cre-ER(T2), our system enables parallel, independent manipulation of alleles targeted by Cas9 and traditional recombinase with single-cell specificity. We anticipate this platform will be used for the systematic characterization and identification of essential genes, as well as the investigation of the interactions between functional genes.

  20. Development of Molecular Marker Linked to Cf-10 Gene Using SSR and AFLP Method in Tomato

    Institute of Scientific and Technical Information of China (English)

    Li Ning; Jiang Jing-bin; Li Jing-fu; Xu Xiang-yang

    2012-01-01

    The leaf mould resistance gene Cf-10 on tomato confered resistant or immune to all prevalent physiological races of Cladosporium fulvum presented in three northeastern provinces of China in inoculation test. In order to better utilize Cf-10 gene in a marker-assisted selection program and to permit the pyramiding of one or several resistance genes in a cultivar, tightly linked SSR and AFLP markers were obtained by the bulked segregant analysis method. One SSR marker and three AFLP markers were identified linked to Cf-10 gene, with the distance of 9.73, 5.8, 8.5, and 10.6 cM, respectively. These markers will facilitate the selection of resistant tomato germplasm containing Cf-10 gene.

  1. Introduction of optical reporter gene into cancer and immune cells using lentiviral vector

    Energy Technology Data Exchange (ETDEWEB)

    Min, Jung Joon; Le, Uyenchi N.; Moon, Sung Min; Heo, Young Jun; Song, Ho Chun; Bom, Hee Seung [School of Medicine, Chonnam National University, Gwangju (Korea, Republic of); Kim, Yeon Soo [Schoole of Medicine, Inje University, Seoul (Korea, Republic of)

    2004-07-01

    For some applications such as gene therapy or reporter gene imaging, a gene has to be introduced into the organism of interest. Adenoviral vectors are capable of transducing both replicating and non-dividing cells. The adenoviral vectors do not integrate their DNA into host DNA, but do lead to an immune response. Lentiviruses belong to the retrovirus family and are capable of infecting both dividing and non-dividing cells. The human immunodeficiency virus (HIV) is an example of a lentavirus. A disabled HIV virus has been developed and could be used for in vivo gene delivery. A portion of the viral genome which encodes for accessory proteins canbe deleted without affecting production of the vector and efficiency of infection. Lentiviral delivery into various rodent tissues shows sustained expression of the transgene of up to six months. Furthermore, there seems to be little or no immune response with these vectors. These lentiviral vectors hold significant promise for in vivo gene delivery. We constructed lentiviral vector encoding firefly luciferase (Fluc) and eGFP. Fluc-eGFP fusion gene was inserted into multiple cloning sites of pLentiM1.3 vector. Reporter gene (Fluc-eGFP) was designed to be driven by murine CMV promoter with enhanced efficacy of transgene expression as compared to human CMV promoter. We transfected pLenti1.3-Fluc into human cervix cancer cell line (HeLa) and murine T lymphocytes. We also constructed adenovirus encoding Fluc and transfected to HeLa and T cells. This LentiM1.3-Fluc was transfected into HeLa cells and murine T lymphocytes in vitro, showing consistent expression of eGFP under the fluorescence microscopy from the 2nd day of transfection. Firefly luciferase reporter gene was not expressed in immune cells when it is mediated by adenovirus. Lentivirus was validated as a useful vector for both immune and cancer cells.

  2. WASTE PACKAGE OPERATIONS FY99 CLOSURE METHODS REPORT

    Energy Technology Data Exchange (ETDEWEB)

    M. C. Knapp

    1999-09-23

    The waste package (WP) closure weld development task is part of a larger engineering development program to develop waste package designs. The purpose of the larger waste package engineering development program is to develop nuclear waste package fabrication and closure methods that the Nuclear Regulatory Commission will find acceptable and will license for disposal of spent nuclear fuel (SNF), non-fuel components, and vitrified high-level waste within a Monitored Geologic Repository (MGR). Within the WP closure development program are several major development tasks, which, in turn, are divided into subtasks. The major tasks include: WP fabrication development, WP closure weld development, nondestructive examination (NDE) development, and remote in-service inspection development. The purpose of this report is to present the objectives, technical information, and work scope relating to the WP closure weld development.and NDE tasks and subtasks and to report results of the closure weld and NDE development programs for fiscal year 1999 (FY-99). The objective of the FY-99 WP closure weld development task was to develop requirements for closure weld surface and volumetric NDE performance demonstrations, investigate alternative NDE inspection techniques, and develop specifications for welding, NDE, and handling system integration. In addition, objectives included fabricating several flat plate mock-ups that could be used for NDE development, stress relief peening, corrosion testing, and residual stress testing.

  3. Benchmarking of methods for identification of antimicrobial resistance genes in bacterial whole genome data

    DEFF Research Database (Denmark)

    Clausen, Philip T. L. C.; Zankari, Ea; Aarestrup, Frank Møller;

    2016-01-01

    Next generation sequencing (NGS) may be an alternative to phenotypic susceptibility testing for surveillance and clinical diagnosis. However, current bioinformatics methods may be associated with false positives and negatives. In this study, a novel mapping method was developed and benchmarked...... to two different methods in current use for identification of antibiotic resistance genes in bacterial WGS data. A novel method, KmerResistance, which examines the co-occurrence of k-mers between the WGS data and a database of resistance genes, was developed. The performance of this method was compared...... with two previously described methods; ResFinder and SRST2, which use an assembly/BLAST method and BWA, respectively, using two datasets with a total of 339 isolates, covering five species, originating from the Oxford University Hospitals NHS Trust and Danish pig farms. The predicted resistance...

  4. Synthesis of Codon-optimized Human Interleukin-18 Gene by Combination of Chemical and Enzymatic Method

    Institute of Scientific and Technical Information of China (English)

    GAO Chao-hui; SHI Xiao-yue; HOU Xin-tong; MENG Qing-fan; Zhang Ying-jiu; TENG Li-rong

    2008-01-01

    According to the amino acid sequence and codon preference of E,coli,the human interleukin-18(IL-18)gene was optimized to avoid the rare codons,The total length of the synthesized gene is 571 bp;18 oligonucleotides,DNA fragments were designed and synthesized by the phosphoramidite four-step chemical method,The whole DNAsequence was synthesized by a one-step total gene synthesis method,and then inserted in pUC18 vector,Five positive clones identified by blue-white colony screening were sent to Shanghai Sangon Biological Engineering Technology and Service Co.,Ltd,for sequencing,The sequencing result shows that one clone contained the complete correct gene in all the five positive clones.

  5. GOParGenPy: a high throughput method to generate gene ontology data matrices.

    Science.gov (United States)

    Kumar, Ajay Anand; Holm, Liisa; Toronen, Petri

    2013-08-08

    Gene Ontology (GO) is a popular standard in the annotation of gene products and provides information related to genes across all species. The structure of GO is dynamic and is updated on a daily basis. However, the popular existing methods use outdated versions of GO. Moreover, these tools are slow to process large datasets consisting of more than 20,000 genes. We have developed GOParGenPy, a platform independent software tool to generate the binary data matrix showing the GO class membership, including parental classes, of a set of GO annotated genes. GOParGenPy is at least an order of magnitude faster than popular tools for Gene Ontology analysis and it can handle larger datasets than the existing tools. It can use any available version of the GO structure and allows the user to select the source of GO annotation. GO structure selection is critical for analysis, as we show that GO classes have rapid turnover between different GO structure releases. GOParGenPy is an easy to use software tool which can generate sparse or full binary matrices from GO annotated gene sets. The obtained binary matrix can then be used with any analysis environment and with any analysis methods.

  6. Genome-scale identification method applied to find cryptic aminoglycoside resistance genes in Pseudomonas aeruginosa.

    Directory of Open Access Journals (Sweden)

    Julie M Struble

    Full Text Available BACKGROUND: The ability of bacteria to rapidly evolve resistance to antibiotics is a critical public health problem. Resistance leads to increased disease severity and death rates, as well as imposes pressure towards the discovery and development of new antibiotic therapies. Improving understanding of the evolution and genetic basis of resistance is a fundamental goal in the field of microbiology. RESULTS: We have applied a new genomic method, Scalar Analysis of Library Enrichments (SCALEs, to identify genomic regions that, given increased copy number, may lead to aminoglycoside resistance in Pseudomonas aeruginosa at the genome scale. We report the result of selections on highly representative genomic libraries for three different aminoglycoside antibiotics (amikacin, gentamicin, and tobramycin. At the genome-scale, we show significant (p<0.05 overlap in genes identified for each aminoglycoside evaluated. Among the genomic segments identified, we confirmed increased resistance associated with an increased copy number of several genomic regions, including the ORF of PA5471, recently implicated in MexXY efflux pump related aminoglycoside resistance, PA4943-PA4946 (encoding a probable GTP-binding protein, a predicted host factor I protein, a delta 2-isopentenylpyrophosphate transferase, and DNA mismatch repair protein mutL, PA0960-PA0963 (encoding hypothetical proteins, a probable cold shock protein, a probable DNA-binding stress protein, and aspartyl-tRNA synthetase, a segment of PA4967 (encoding a topoisomerase IV subunit B, as well as a chimeric clone containing two inserts including the ORFs PA0547 and PA2326 (encoding a probable transcriptional regulator and a probable hypothetical protein, respectively. CONCLUSIONS: The studies reported here demonstrate the application of new a genomic method, SCALEs, which can be used to improve understanding of the evolution of antibiotic resistance in P. aeruginosa. In our demonstration studies, we

  7. Subcloning plus insertion (SPI)--a novel recombineering method for the rapid construction of gene targeting vectors.

    Science.gov (United States)

    Reddy, Thimma R; Kelsall, Emma J; Fevat, Léna M S; Munson, Sarah E; Cowley, Shaun M

    2015-01-08

    Gene targeting refers to the precise modification of a genetic locus using homologous recombination. The generation of novel cell lines and transgenic mouse models using this method necessitates the construction of a 'targeting' vector, which contains homologous DNA sequences to the target gene, and has for many years been a limiting step in the process. Vector construction can be performed in vivo in Escherichia coli cells using homologous recombination mediated by phage recombinases using a technique termed recombineering. Recombineering is the preferred technique to subclone the long homology sequences (>4 kb) and various targeting elements including selection markers that are required to mediate efficient allelic exchange between a targeting vector and its cognate genomic locus. Typical recombineering protocols follow an iterative scheme of step-wise integration of the targeting elements and require intermediate purification and transformation steps. Here, we present a novel recombineering methodology of vector assembly using a multiplex approach. Plasmid gap repair is performed by the simultaneous capture of genomic sequence from mouse Bacterial Artificial Chromosome libraries and the insertion of dual bacterial and mammalian selection markers. This subcloning plus insertion method is highly efficient and yields a majority of correct recombinants. We present data for the construction of different types of conditional gene knockout, or knock-in, vectors and BAC reporter vectors that have been constructed using this method. SPI vector construction greatly extends the repertoire of the recombineering toolbox and provides a simple, rapid and cost-effective method of constructing these highly complex vectors.

  8. Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods

    OpenAIRE

    2015-01-01

    Background Despite of numerous studies on periodontitis, the mechanism underlying the progression of periodontitis still remains largely unknown. This study aimed to have an expression profiling comparison between periodontitis and normal control and to identify more candidate genes involved in periodontitis and to gain more insights into the molecular mechanisms of periodontitis progression. Methods The gene expression profile of GSE16134, comprising 241 gingival tissue specimens and 69 heal...

  9. Generation of recombinant Orf virus using an enhanced green fluorescent protein reporter gene as a selectable marker

    Directory of Open Access Journals (Sweden)

    Ning Zhangyong

    2011-12-01

    Full Text Available Abstract Background Reporter genes are often used as a selectable marker for generation of recombinant viruses in order to investigate the mechanism of pathogenesis and to obtain candidate vaccine viruses. Routine selection of the recombinant parapoxvirus is time-consuming and labor intensive. Therefore, developing a novel method for selection is critical. Results In this study, we developed a rapid method to generate recombinant Orf viruses (ORFV based on the enhanced green fluorescent protein (EGFP reporter gene as a selectable marker. The coding sequence of EGFP gene was amplified from pEGFP-N1 vector and subcloned into the pZIPPY-neo/gus plasmid under the control of the early-late vaccinia virus (VACV VV7.5 promoter and flanked by two multiple cloning sites (MCS to generate a novel transfer vector pSPV-EGFP. Using the pSPV-EGFP, two recombination cassettes pSPV-113LF-EGFP-113RF and pSPV-116LF-EGFP-116RF were constructed by cloning the flanking regions of the ORFV113 and ORFV116 and inserted into two MCS flanking the EGFP gene. Using this novel system, two single gene deletion mutants OV-IA82Δ113 and OV-IA82Δ116 were successfully generated. Conclusions This approach shortens the time needed to generate recombinant ORFVs (rORFVs. Thus, the pSPV-EGFP vector provides a direct, fast, and convenient way to manipulate the recombinant viruses, indicating that it is highly suited for its designed purpose.

  10. Statistical methods on detecting differentially expressed genes for RNA-seq data

    Directory of Open Access Journals (Sweden)

    Chen Zhongxue

    2011-12-01

    Full Text Available Abstract Background For RNA-seq data, the aggregated counts of the short reads from the same gene is used to approximate the gene expression level. The count data can be modelled as samples from Poisson distributions with possible different parameters. To detect differentially expressed genes under two situations, statistical methods for detecting the difference of two Poisson means are used. When the expression level of a gene is low, i.e., the number of count is small, it is usually more difficult to detect the mean differences, and therefore statistical methods which are more powerful for low expression level are particularly desirable. In statistical literature, several methods have been proposed to compare two Poisson means (rates. In this paper, we compare these methods by using simulated and real RNA-seq data. Results Through simulation study and real data analysis, we find that the Wald test with the data being log-transformed is more powerful than other methods, including the likelihood ratio test, which has similar power as the variance stabilizing transformation test; both are more powerful than the conditional exact test and Fisher exact test. Conclusions When the count data in RNA-seq can be reasonably modelled as Poisson distribution, the Wald-Log test is more powerful and should be used to detect the differentially expressed genes.

  11. The First Report of a 290-bp Deletion in β-Globin Gene in the South of Iran

    Science.gov (United States)

    Hamid, Mohammad; Nejad, Ladan Dawoody; Shariati, Gholamreza; Galehdari, Hamid; Saberi, Alihossein; Mohammadi-Anaei, Marziye

    2017-01-01

    Background: β-thalassemia is one of the most widespread diseases in the world, including Iran. In this study, we reported, for the first time, a 290-bp β-globin gene deletion in the south of Iran. Methods: Four individuals from three unrelated families with Arabic ethnic background were studied in Khuzestan Province. Red blood cell indices and hemoglobin analysis were carried out according to the standard methods. Genomic DNA was obtained from peripheral blood cells by salting out procedures. β-globin gene amplification, multiplex ligation-dependent probe amplification (MLPA), and DNA sequencing were performed. Results: The PCR followed by sequencing and MLPA test of the β-globin gene confirmed the presence of a 290-bp deletion in the heterozygous form, along with -88C>A mutation. All the individuals had elevated hemoglobin A2 and normal fetal hemoglobin levels. Conclusions: This mutation causes β0-thalassemia and can be highly useful for prenatal diagnosis in compound heterozygous condition with different β-globin gene mutations. PMID:26948378

  12. Detection of virulence genes in Uropathogenic E. coli (UPEC strains by Multiplex-PCR method

    Directory of Open Access Journals (Sweden)

    Javad Mohammadi

    2017-06-01

    Full Text Available Background & Objectives: Urinary tract infection caused by E. coli is one of the most common illnesses in all age groups worldwide. Presence of virulence genes is a key factor in bacterial pathogens in uroepithelial cells. The present study was performed to detect iha, iroN, ompT genes in the Uropathogenic E.coli isolates from clinical samples using multiplex-PCR method in Kerman. Materials & Methods: In this descriptive cross-sectional study, 200 samples of patients with urinary tract infections in Kerman hospitals were collected. After biochemical and microbiological tests, all strains were tested with regard to the presence of iha, iroN, and ompT genes using multiplex-PCR method. Results: The results of Multiplex-PCR showed that all specimens had one, two, or three virulence genes simultaneously. The highest and lowest frequency distribution of genes was related to iha (56.7% and iroN (20% respectively. Conclusion: According to the prevalence of urinary tract infection in the community and distribution of resistance and virulence factors, the fast and accurate detection of the strains and virulence genes is necessary

  13. NAN fusions: a synthetic sialidase reporter gene as a sensitive and versatile partner for GUS.

    Science.gov (United States)

    Kirby, J; Kavanagh, T A

    2002-11-01

    GUS continues to be the reporter of choice for many gene fusion applications, due to the unparalleled sensitivity of the encoded enzyme and the ease with which it can be quantified in cell-free extracts and visualized histochemically in cells and tissues. A compatible and functionally equivalent reporter gene would facilitate dual promoter studies and internal standardization of expression analyses in the same plant. A search for a candidate enzyme activity not found in plants, which might form the basis of a novel GUS-compatible reporter system, led us to investigate nanH, a Clostridium perfringens gene which encodes the so-called 'small' cytoplasmic sialidase. Expression of the native, AT-rich nanH gene in transgenic plants did not, however, result in detectable sialidase activity. For this reason, a codon-optimized derivative, NAN, was synthesized which possesses a GC content similar to that found in highly expressed plant genes. NAN enzyme activity was expressed at high levels in both stably and transiently transformed cells, possessed kinetic and stability properties similar to those of GUS, and showed optimal activity in GUS buffer. Moreover, NAN and GUS activity could be visualized simultaneously in polyacrylamide gels using the corresponding methylumbelliferone-based substrates, and in whole seedlings and tissue sections using the histochemical substrates 5-bromo-4-chloro-3-indolyl alpha-d-N-acetylneuraminic acid (X-NeuNAc) and 5-bromo-6-chloro-3-indolyl beta-d-glucuronide (X-GlucM), respectively.

  14. An "instant gene bank" method for heterologous gene cloning: complementation of two Aspergillus nidulans mutants with Gaeumannomyces graminis DNA.

    Science.gov (United States)

    Bowyer, P; Osbourn, A E; Daniels, M J

    1994-02-01

    We present a novel technique for gene cloning by complementation of mutations in Aspergillus nidulans with DNA from a heterologous organism, Gaeumannomyces graminis. This technique bypasses the time-consuming and difficult construction of gene libraries, making it both rapid and simple. The method relies on recombination between a fungal replicating vector pHELP1 and linear G. graminis genomic DNA during co-transformation. We were able to complement two out of seven A. nidulans mutants tested and to rescue transforming DNA from both in Escherichia coli. Complementation of the A. nidulans argB mutation resulted from integration of 8-10 kb segments of G. graminis DNA into pHELP1. The complementation of the A. nidulans pyrG mutation resulted from a complex rearrangement. Complementing DNA was shown to originate from G. graminis, and was capable of retransforming the original mutants to give the expected phenotype.

  15. A method for stable gene knock-down by RNA interference in larvae of the salmon louse (Lepeophtheirus salmonis).

    Science.gov (United States)

    Eichner, Christiane; Nilsen, Frank; Grotmol, Sindre; Dalvin, Sussie

    2014-05-01

    The salmon louse (Lepeophtheirus salmonis), an ectoparasitic copepod of salmonid fish, is a major threat to aquaculture in Norway, Ireland, Scotland and Canada. Due to rise in resistance against existing pesticides, development of novel drugs or vaccines is necessary. Posttranscriptional gene silencing by RNA interference (RNAi), when established in a high throughput system is a potential method for evaluation of molecular targets for new medical compounds or vaccine antigens. Successful use of RNAi has been reported in several stages of salmon lice. However, when we employed a previously described protocol for planktonic stages, no reproducible down-regulation of target genes was gained. In the present study, we describe a robust method for RNAi, where nauplius larvae are soaked in seawater added double stranded RNA (dsRNA). In order to test for when dsRNA may be introduced, and for the efficacy and duration of RNAi, we performed a series of experiments on accurately age determined larvae, ranging from the hatching egg to the copepodid with a salmon louse coatomer and a putative prostaglandin E synthase gene. Presumptive knock-down was monitored by real time PCR. Significant gene silencing was obtained only when nauplius I larvae were exposed to dsRNA during the period in which they molted to nauplius II. A knock down effect could be detected 2days after soaking, and it remained stable until the last measurement, on day 12. Soaking nauplius I larvae, knock-down was verified for six additional genes with a putative role in molting. For one chitinase, a loss-of-function phenotype with abnormal swimming was obtained. Hence, RNAi, induced in the nauplius, may facilitate studies of the molecular biology of the louse, such as the function of specific genes in developmental processes and physiology, host recognition, host-parasite interaction, and, in extension, the engineering of novel medicines.

  16. Expression of Root Genes in Arabidopsis Seedlings Grown by Standard and Improved Growing Methods

    Directory of Open Access Journals (Sweden)

    Yanli Qu

    2017-05-01

    Full Text Available Roots of Arabidopsis thaliana seedlings grown in the laboratory using the traditional plant-growing culture system (TPG were covered to maintain them in darkness. This new method is based on a dark chamber and is named the improved plant-growing method (IPG. We measured the light conditions in dark chambers, and found that the highest light intensity was dramatically reduced deeper in the dark chamber. In the bottom and side parts of dark chambers, roots were almost completely shaded. Using the high-throughput RNA sequencing method on the whole RNA extraction from roots, we compared the global gene expression levels in roots of seedlings from these two conditions and identified 141 differently expressed genes (DEGs between them. According to the KEGG (Kyoto Encyclopedia of Genes and Genomes enrichment, the flavone and flavonol biosynthesis and flavonoid biosynthesis pathways were most affected among all annotated pathways. Surprisingly, no genes of known plant photoreceptors were identified as DEGs by this method. Considering that the light intensity was decreased in the IPG system, we collected four sections (1.5 cm for each of Arabidopsis roots grown in TPG and IPG conditions, and the spatial-related differential gene expression levels of plant photoreceptors and polar auxin transporters, including CRY1, CRY2, PHYA, PHYB, PHOT1, PHOT2, and UVR8 were analyzed by qRT-PCR. Using these results, we generated a map of the spatial-related expression patterns of these genes under IPG and TPG conditions. The expression levels of light-related genes in roots is highly sensitive to illumination and it provides a background reference for selecting an improved culture method for laboratory-maintained Arabidopsis seedlings.

  17. Expression of Root Genes in Arabidopsis Seedlings Grown by Standard and Improved Growing Methods.

    Science.gov (United States)

    Qu, Yanli; Liu, Shuai; Bao, Wenlong; Xue, Xian; Ma, Zhengwen; Yokawa, Ken; Baluška, František; Wan, Yinglang

    2017-05-03

    Roots of Arabidopsis thaliana seedlings grown in the laboratory using the traditional plant-growing culture system (TPG) were covered to maintain them in darkness. This new method is based on a dark chamber and is named the improved plant-growing method (IPG). We measured the light conditions in dark chambers, and found that the highest light intensity was dramatically reduced deeper in the dark chamber. In the bottom and side parts of dark chambers, roots were almost completely shaded. Using the high-throughput RNA sequencing method on the whole RNA extraction from roots, we compared the global gene expression levels in roots of seedlings from these two conditions and identified 141 differently expressed genes (DEGs) between them. According to the KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment, the flavone and flavonol biosynthesis and flavonoid biosynthesis pathways were most affected among all annotated pathways. Surprisingly, no genes of known plant photoreceptors were identified as DEGs by this method. Considering that the light intensity was decreased in the IPG system, we collected four sections (1.5 cm for each) of Arabidopsis roots grown in TPG and IPG conditions, and the spatial-related differential gene expression levels of plant photoreceptors and polar auxin transporters, including CRY1, CRY2, PHYA, PHYB, PHOT1, PHOT2, and UVR8 were analyzed by qRT-PCR. Using these results, we generated a map of the spatial-related expression patterns of these genes under IPG and TPG conditions. The expression levels of light-related genes in roots is highly sensitive to illumination and it provides a background reference for selecting an improved culture method for laboratory-maintained Arabidopsis seedlings.

  18. A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data of Glioma

    KAUST Repository

    Abusamra, Heba

    2013-11-01

    Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification. Interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. This paper aims on a comparative study of state-of-the- art feature selection methods, classification methods, and the combination of them, based on gene expression data. We compared the efficiency of three different classification methods including: support vector machines, k-nearest neighbor and random forest, and eight different feature selection methods, including: information gain, twoing rule, sum minority, max minority, gini index, sum of variances, t-statistics, and one-dimension support vector machine. Five-fold cross validation was used to evaluate the classification performance. Two publicly available gene expression data sets of glioma were used in the experiments. Results revealed the important role of feature selection in classifying gene expression data. By performing feature selection, the classification accuracy can be significantly boosted by using a small number of genes. The relationship of features selected in different feature selection methods is investigated and the most frequent features selected in each fold among all methods for both datasets are evaluated.

  19. Prenatal Diagnosis in a Family of TNFRSF11A (RANK Gene Mutation Detection: A Case Report

    Directory of Open Access Journals (Sweden)

    Mutlu Karkucak

    2014-08-01

    Full Text Available Autosomal recessive osteoporosis (ARO is a severe disease causing death usually at infancy or childhood. RANKL coded by TNFSF11 gene and RANK coded by TNFRSF11A gene are important proteins for osteoclast maturation and it is indicated that mutation on these genes plays an important role for ARO development. It is reported in this article that c.508 A→G homozygote mutation (pArg170Gly is observed in TNFRSF11A gene of 2 children of consanguineous couple. Mutation analysis performed on CVS material during the next pregnancy revealed heterozygous mutation in the fetus. The pregnancy was continued to term and a healthy boy was delivered. Prenatal mutation analysis is important for diseases with known mutations to relieve parental anxiety and provide genetic counselling for the family.

  20. Focused ultrasound enhanced molecular imaging and gene therapy for multifusion reporter gene in glioma-bearing rat model.

    Science.gov (United States)

    Yang, Feng-Yi; Chang, Wen-Yuan; Lin, Wei-Ting; Hwang, Jeng-Jong; Chien, Yi-Chun; Wang, Hsin-Ell; Tsai, Min-Lan

    2015-11-03

    The ability to monitor the responses of and inhibit the growth of brain tumors during gene therapy has been severely limited due to the blood-brain barrier (BBB). A previous study has demonstrated the feasibility of noninvasive in vivo imaging with 123I-2'-fluoro-2'-deoxy-5-iodo-1-β-D-arabinofuranosyluracil (123I-FIAU) for monitoring herpes simplex virus type 1 thymidine kinase (HSV1-tk) cancer gene expression in an experimental animal model. Here, we tested the enhancement of SPECT with 123I-FIAU and ganciclovir (GCV) treatment in brain tumors after BBB disruption induced by focused ultrasound (FUS) in the presence of microbubbles. We established an orthotopic F98 glioma-bearing rat model with trifusion reporter genes. The results of this study showed that the rat model of HSV1-tk-expressing glioma cells could be successfully detected by SPECT imaging after FUS-induced BBB disruption on day 10 after implantation. Compared to the control group, animals receiving the GCV with or without sonication exhibited a significant antitumor activity (P therapy in brain diseases.

  1. 3' Noncoding Region Construction of GHR Gene-luciferase Report Vector and Valuation

    Institute of Scientific and Technical Information of China (English)

    Jie Jing; Men Jing; Wang Chun-mei; Gao Xue-jun; Li Qing-zhang

    2012-01-01

    To analyze miR-139 target sites in 3' UTR of GHR gene in dairy cow mammary gland, a GHR 3' UTR- luciferase reporter vector was constructed and the effect of miRNA on its activity was evaluated in dairy cow mammary gland epithelial cells (DCMECs). The miR-139 targeting GHR 3' UTR was predicted by Target Scan 5.1 software, 3' UTR fragment of GHR was amplified by PCR from RNA of DCMECs. PCR products were cloned into Spe Ⅰ/Hind Ⅱ modified pMIR-Report vector. The luciferase reporter vector and miRNA eukaryotic expression vector were transferred into DCMECs using lipofectamine 2000 transfection reagent. The dualluciferase reporter assay system was used to quantitiate the reporter activity. The results showed that a 107 bp 3' UTR fragment of GHR gene was successfully cloned into the pMIR-Report vector, which authenticated by Spe Ⅰ/Hind Ⅲ digestion and DNA sequencing. The luciferase activity of reporter construction treated with miR-139 decreased 20.87% compared with the control group. It was concluded that the GHR3' UTR-luciferase reporter vector had been successfully constructed. The luciferase activity of the reporter could be suppressed by miR- 139.

  2. Oxygen Sensitivity of Reporter Genes: Implications for Preclinical Imaging of Tumor Hypoxia

    Directory of Open Access Journals (Sweden)

    Ivana Cecic

    2007-07-01

    Full Text Available Reporter gene techniques have been applied toward studying the physiologic phenomena associated with tumor hypoxia, a negative prognostic indicator. The purpose of this study was to assess the potential adverse effects of hypoxic conditions on the effectiveness of four commonly used reporter genes: Renilla luciferase, monomeric red fluorescent protein, thymidine kinase, and lacZ. Tumor-forming A375 cells expressing a trifusion reporter consisting of Renilla luciferase, monomeric red fluorescent protein, and thymidine kinase were subjected to decreasing oxygen tensions and assayed for reporter expression and activity. A375 cells expressing β-galactosidase were similarly exposed to hypoxia, with activity of the reporter monitored by cleavage of the fluorescent substrate 7-hydroxy-9H-(1, 3-dichloro-9, 9-dimethylacridin-2-one-β-galactoside (DDAOG. Generation of signal in in vivo tumor models expressing bioluminescent or β-galactosidase reporters were also examined over the course of hypoxic stresses, either by tumor clamping or the antivascular agent 5, 6-dimethylxanthenone-4-acetic acid (DMXAA. Our findings indicate that bioluminescent and fluorescent reporter activity are decreased under hypoxia despite minimal variations in protein production, whereas β-galactosidase reporter activity per unit protein was unchanged. These results demonstrate that combining β-galactosidase with the DDAOG optical probe may be a robust reporter system for the in vivo study of tumor hypoxia.

  3. Detection of estrogenic activity in sediment-associated compounds using in vitro reporter gene assays

    NARCIS (Netherlands)

    Legler, J.; Dennekamp, M.; Vethaak, A.D.; Brouwer, A.; Koeman, J.H.; Burg, van der B.; Murk, A.J.

    2002-01-01

    Sediments may be the ultimate sink for persistent (xeno-) estrogenic compounds released into the aquatic environment. Sediment-associated estrogenic potency was measured with an estrogen receptor-mediated luciferase reporter gene (ER-CALUX) assay and compared with a recombinant yeast screen. The ER-

  4. A small scale cell culture system to analyze mechanobiology using reporter gene constructs and polyurethane dishes

    DEFF Research Database (Denmark)

    Seefried, Lothar; Mueller-Deubert, Sigrid; Wentzer, Thomas Schwarz

    2010-01-01

    of mechanotransduction and its crosstalk with biochemically induced signal transduction, AP1 and SP1 luciferase reporter gene constructs were cloned and transfected into various cell lines and primary cells. A newly developed bioreactor and small-scale 24-well polyurethane dishes were used to apply cyclic stretching...

  5. Multiple insulin degrading enzyme variants alter in vitro reporter gene expression.

    Directory of Open Access Journals (Sweden)

    Olivia Belbin

    Full Text Available The insulin degrading enzyme (IDE variant, v311 (rs6583817, is associated with increased post-mortem cerebellar IDE mRNA, decreased plasma β-amyloid (Aβ, decreased risk for Alzheimer's disease (AD and increased reporter gene expression, suggesting that it is a functional variant driving increased IDE expression. To identify other functional IDE variants, we have tested v685, rs11187061 (associated with decreased cerebellar IDE mRNA and variants on H6, the haplotype tagged by v311 (v10; rs4646958, v315; rs7895832, v687; rs17107734 and v154; rs4646957, for altered in vitro reporter gene expression. The reporter gene expression levels associated with the second most common haplotype (H2 successfully replicated the post-mortem findings in hepatocytoma (0.89 fold-change, p = 0.04 but not neuroblastoma cells. Successful in vitro replication was achieved for H6 in neuroblastoma cells when the sequence was cloned 5' to the promoter (1.18 fold-change, p = 0.006 and 3' to the reporter gene (1.29 fold change, p = 0.003, an effect contributed to by four variants (v10, v315, v154 and v311. Since IDE mediates Aβ degradation, variants that regulate IDE expression could represent good therapeutic targets for AD.

  6. WUS and STM-based reporter genes for studying meristem development in poplar

    Science.gov (United States)

    We describe the development of a reporter system for monitoring meristem initiation in poplar using promoters of poplar homologs to the meristem-active regulatory genes WUSCHEL (WUS) and SHOOTMERISTEMLESS (STM). When ~3 kb of the 5’ flanking regions of close homologs were used to drive expression o...

  7. Detection of estrogenic activity in sediment-associated compounds using in vitro reporter gene assays

    NARCIS (Netherlands)

    Legler, J.; Dennekamp, M.; Vethaak, A.D.; Brouwer, A.; Koeman, J.H.; Burg, van der B.; Murk, A.J.

    2002-01-01

    Sediments may be the ultimate sink for persistent (xeno-) estrogenic compounds released into the aquatic environment. Sediment-associated estrogenic potency was measured with an estrogen receptor-mediated luciferase reporter gene (ER-CALUX) assay and compared with a recombinant yeast screen. The ER-

  8. Cascaded Factor Analysis and Wavelet Transform Method for Tumor Classification Using Gene Expression Data

    Directory of Open Access Journals (Sweden)

    Jayakishan Meher

    2012-08-01

    Full Text Available Correlation between gene expression profiles to disease or different developmental stages of a cell through microarray data and its analysis has been a great deal in molecular biology. As the microarray data have thousands of genes and very few sample, thus efficient feature extraction and computational method development is necessary for the analysis. In this paper we have proposed an effective feature extraction method based on factor analysis (FA with discrete wavelet transform (DWT to detect informative genes. Radial basis function neural network (RBFNN classifier is used to efficiently predict the sample class which has a low complexity than other classifier. The potential of the proposed approach is evaluated through an exhaustive study by many benchmark datasets. The experimental results show that the proposed method can be a useful approach for cancer classification.

  9. Single Cell Quantification of Reporter Gene Expression in Live Adult Caenorhabditis elegans Reveals Reproducible Cell-Specific Expression Patterns and Underlying Biological Variation.

    Directory of Open Access Journals (Sweden)

    Alexander R Mendenhall

    Full Text Available In multicellular organisms such as Caenorhabditis elegans, differences in complex phenotypes such as lifespan correlate with the level of expression of particular engineered reporter genes. In single celled organisms, quantitative understanding of responses to extracellular signals and of cell-to-cell variation in responses has depended on precise measurement of reporter gene expression. Here, we developed microscope-based methods to quantify reporter gene expression in cells of Caenorhabditis elegans with low measurement error. We then quantified expression in strains that carried different configurations of Phsp-16.2-fluorescent-protein reporters, in whole animals, and in all 20 cells of the intestine tissue, which is responsible for most of the fluorescent signal. Some animals bore more recently developed single copy Phsp-16.2 reporters integrated at defined chromosomal sites, others, "classical" multicopy reporter gene arrays integrated at random sites. At the level of whole animals, variation in gene expression was similar: strains with single copy reporters showed the same amount of animal-to-animal variation as strains with multicopy reporters. At the level of cells, in animals with single copy reporters, the pattern of expression in cells within the tissue was highly stereotyped. In animals with multicopy reporters, the cell-specific expression pattern was also stereotyped, but distinct, and somewhat more variable. Our methods are rapid and gentle enough to allow quantification of expression in the same cells of an animal at different times during adult life. They should allow investigators to use changes in reporter expression in single cells in tissues as quantitative phenotypes, and link those to molecular differences. Moreover, by diminishing measurement error, they should make possible dissection of the causes of the remaining, real, variation in expression. Understanding such variation should help reveal its contribution to

  10. Modified PCR methods for 3' end amplification from serial analysis of gene expression (SAGE) tags.

    Science.gov (United States)

    Xu, Wang-Jie; Wang, Zhao-Xia; Qiao, Zhong-Dong

    2009-05-01

    Serial analysis of gene expression (SAGE) is a powerful technique to study gene expression at the genome level. However, a disadvantage of the shortness of SAGE tags is that it prevents further study of SAGE library data, thus limiting extensive application of the SAGE method in gene expression studies. However, this problem can be solved by extension of the SAGE tags to 3' cDNAs. Therefore, several methods based on PCR have been developed to generate a 3' longer fragment cDNA corresponding to a SAGE tag. The list of modified methods is extensive, and includes rapid RT-PCR analysis of unknown SAGE tags (RAST-PCR), generation of longer cDNA fragments from SAGE tags for gene identification (GLGI), a high-throughput GLGI procedure, reverse SAGE (rSAGE), two-step analysis of unknown SAGE tags (TSAT-PCR), etc. These procedures are constantly being updated because they have characteristics and advantages that can be shared. Development of these methods has promoted the widespread use of the SAGE technique, and has accelerated the speed of studies of large-scale gene expression.

  11. Design of a molecular method for subspecies specific identification of Klebsiella pneumoniae by using the 16S ribosomal subunit gene

    Directory of Open Access Journals (Sweden)

    Nelson Enrique Arenas

    2009-12-01

    Full Text Available Introduction: Rhinoscleroma is caused by Klebsiella pneumoniae subsp. rhinoscleromatis and the ozena infections caused by K. pneumoniae subsp. ozaenae, both infections affect the upper respiratory tract. In the first clinical phases the symptoms are unspecific, and the disease can be misdiagnosed as a common cold, therefore antimicrobial therapy cannot reach effective results and patients must be following up for several years since the infection became chronic. Objective: To identify Klebsiella subspecies using a specific assay based on amplicons restriction of a gene which encodes 16S subunit ribosomal (rDNA16S. Methodology: Specific restriction patterns were generated; using reported sequences from rDNA16S gene and bioinformatics programs MACAW, PFE, GENEDOC and GENE RUNNER. Amplification and restriction assays were standardized. Results: Predictions in silico allowed us to propose an algorithm for Klebsiella species and subspecies identification. Two reference strains were included and two clinical isolates which were biotyped and identified by the proposed method. rDNA16S gene restriction patterns showed differences regarding the initially identified species for conventional methods. Additionally two patterns of bands were observed for K. pneumoniae subsp. rhinoscleromatis, indicating the polymorphisms presence in the rDNA16S gene. Conclusions: We confirmed the difficulty to identify K. pneumoniae subspecies by conventional methods. Implementation of this technique could allow accurate and rapid differentiation among K. pneumoniae subsp. ozaenae and K. pneumoniae subsp. rhinoscleromatis the aetiological agents of two frequently misdiagnosed infections. Antimicrobial therapy usually could be ineffective, especially in chronic patients. Finally we consider very important to enlarge the study by using more clinical and reference strains.

  12. Design of a molecular method for subspecies specific identification of Klebsiella pneumoniae by using the 16S ribosomal subunit gene.

    Directory of Open Access Journals (Sweden)

    Nelson Enrique Arenas

    2009-12-01

    Full Text Available Introduction: Rhinoscleroma is caused by Klebsiella pneumoniae rhinoscleromatis and the ozena infections caused by K. pneumoniae ozaenae, both infections affect the upper respiratory tract. In the first clinical phases the symptoms are unspecific, and the disease can be misdiagnosed as a common cold, therefore antimicrobial therapy cannot reach effective results and patients must be following up for several years since the infection became chronic. Objective: To identify Klebsiella subspecies using a specific assay based on amplicons restriction of a gene which encodes 16S subunit ribosomal (rDNA16S.Methodology: Specific restriction patterns were generated; using reported sequences from rDNA16S gene and bioinformatics programs MACAW, PFE, GENEDOC and GENE RUNNER. Amplification and restriction assays were standardized. Results: Predictions in silico allowed to propose an algorithm for Klebsiella species and subspecies identification. Two reference strains were included and two clinical isolates which were biotyped and identified by the proposed method. rDNA16S gene restriction patterns showed differences regarding the initially identified species for conventional methods. Additionally two patterns of bands were observed for K. pneumoniae rhinoscleromatis, indicating the polymorphisms presence in the rDNA16S gene. Conclusions: It was confirmed the difficulty to identify K. pneumoniae subspecies by conventional methods. Implementation of this technique could allow an accurate and rapid differentiation among K. pneumoniae ozaenae and K. pneumoniae rhinoscleromatis aetiological agents of two frequently misdiagnosed infections. Antimicrobial therapy usually could be ineffective, especially in chronic patients. Finally it is considered very important to enlarge the study by using more clinical and reference strains.

  13. Design Methods of Cell Adhesion Proteins Based on ELISA Usable in-vitro in Gene Therapy

    Directory of Open Access Journals (Sweden)

    E Hosseini

    2016-07-01

    Full Text Available Background & aim: One of the strategies to improve the therapeutic gene is targeting gene therapy. A method which can be considered, is adding code sequences peptide or protein with high tendency to target cells and secreting the therapeutic gene encodes a protein. However, evaluating the effectiveness of such changes in the targeted cell binding protein gene product with the usual therapeutic methods produced in prokaryotic system is directly impossible. The purpose of this study was to evaluate the design methods of cell adhesion proteins based on ELISA usable in-vitro in gene therapy. Methods: In order to target the therapeutic gene Mda-7 by using genetic engineering, peptide coding sequence RGD4C with the tendency to cancerous cell surface integrin were inserted shortly after the artificial signal peptide sequence and the N-terminal coding region of the protein. Then, the modified and unmodified cDNA eukaryotic expression vector pCDNA3.1 were matched. Vectors were transfected in HEK-293 cell line. Then Mda-7 secreted expression levels were measured in cell culture by ELISA. After adjusting the protein concentration of Mda-7 and RGD.Mda-7, in cells transfected media, they were used as a source of protein. Reduce the concentration of these genes was assessed two hours after exposure to the integrin cell lines with HepG2, M21 and lacking integrin Saos-2  were also determined by ELISA. The present study was conducted three times independently.  Data were analyzed using t-test. Results: Statistical analysis of the results suggested that the gene product of the gene product RGD.Mda-7 and Mda-7 to connect to HepG2 cells and M21 were more likely to have integrin. While binding to the cell lines of Saos-2, no significant difference were observed. Conclusions: It seems the present ELISA based method was a suitable strategy for cell attachment assay in gene therapy research.  

  14. Evaluating methods for ranking differentially expressed genes applied to microArray quality control data

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    Shimizu Kentaro

    2011-06-01

    Full Text Available Abstract Background Statistical methods for ranking differentially expressed genes (DEGs from gene expression data should be evaluated with regard to high sensitivity, specificity, and reproducibility. In our previous studies, we evaluated eight gene ranking methods applied to only Affymetrix GeneChip data. A more general evaluation that also includes other microarray platforms, such as the Agilent or Illumina systems, is desirable for determining which methods are suitable for each platform and which method has better inter-platform reproducibility. Results We compared the eight gene ranking methods using the MicroArray Quality Control (MAQC datasets produced by five manufacturers: Affymetrix, Applied Biosystems, Agilent, GE Healthcare, and Illumina. The area under the curve (AUC was used as a measure for both sensitivity and specificity. Although the highest AUC values can vary with the definition of "true" DEGs, the best methods were, in most cases, either the weighted average difference (WAD, rank products (RP, or intensity-based moderated t statistic (ibmT. The percentages of overlapping genes (POGs across different test sites were mainly evaluated as a measure for both intra- and inter-platform reproducibility. The POG values for WAD were the highest overall, irrespective of the choice of microarray platform. The high intra- and inter-platform reproducibility of WAD was also observed at a higher biological function level. Conclusion These results for the five microarray platforms were consistent with our previous ones based on 36 real experimental datasets measured using the Affymetrix platform. Thus, recommendations made using the MAQC benchmark data might be universally applicable.

  15. Engineering an enhanced, thermostable, monomeric bacterial luciferase gene as a reporter in plant protoplasts.

    Science.gov (United States)

    Cui, Boyu; Zhang, Lifeng; Song, Yunhong; Wei, Jinsong; Li, Changfu; Wang, Tietao; Wang, Yao; Zhao, Tianyong; Shen, Xihui

    2014-01-01

    The application of the luxCDABE operon of the bioluminescent bacterium Photorhabdus luminescens as a reporter has been published for bacteria, yeast and mammalian cells. We report here the optimization of fused luxAB (the bacterial luciferase heterodimeric enzyme) expression, quantum yield and its application as a reporter gene in plant protoplasts. The fused luxAB gene was mutated by error prone PCR or chemical mutagenesis and screened for enhanced luciferase activity utilizing decanal as substrate. Positive luxAB mutants with superior quantum yield were subsequently shuffled by DNase I digestion and PCR assembly for generation of recombinants with additional increases in luciferase activity in bacteria. The coding sequence of the best recombinant, called eluxAB, was then optimized further to conform to Arabidopsis (Arabidopsis thaliana) codon usage. A plant expression vector of the final, optimized eluxAB gene (opt-eluxAB) was constructed and transformed into protoplasts of Arabidopsis and maize (Zea mays). Luciferase activity was dramatically increased for opt-eluxAB compared to the original luxAB in Arabidopsis and maize cells. The opt-eluxAB driven by two copies of the 35S promoter expresses significantly higher than that driven by a single copy. These results indicate that the eluxAB gene can be used as a reporter in plant protoplasts. To our knowledge, this is the first report to engineer the bacterium Photorhabdus luminescens luciferase luxAB as a reporter by directed evolution which paved the way for further improving the luxAB reporter in the future.

  16. Robust gene selection methods using weighting schemes for microarray data analysis.

    Science.gov (United States)

    Kang, Suyeon; Song, Jongwoo

    2017-09-02

    A common task in microarray data analysis is to identify informative genes that are differentially expressed between two different states. Owing to the high-dimensional nature of microarray data, identification of significant genes has been essential in analyzing the data. However, the performances of many gene selection techniques are highly dependent on the experimental conditions, such as the presence of measurement error or a limited number of sample replicates. We have proposed new filter-based gene selection techniques, by applying a simple modification to significance analysis of microarrays (SAM). To prove the effectiveness of the proposed method, we considered a series of synthetic datasets with different noise levels and sample sizes along with two real datasets. The following findings were made. First, our proposed methods outperform conventional methods for all simulation set-ups. In particular, our methods are much better when the given data are noisy and sample size is small. They showed relatively robust performance regardless of noise level and sample size, whereas the performance of SAM became significantly worse as the noise level became high or sample size decreased. When sufficient sample replicates were available, SAM and our methods showed similar performance. Finally, our proposed methods are competitive with traditional methods in classification tasks for microarrays. The results of simulation study and real data analysis have demonstrated that our proposed methods are effective for detecting significant genes and classification tasks, especially when the given data are noisy or have few sample replicates. By employing weighting schemes, we can obtain robust and reliable results for microarray data analysis.

  17. Miniaturized fluorescent RNA dot blot method for rapid quantitation of gene expression

    Directory of Open Access Journals (Sweden)

    Yadetie Fekadu

    2004-06-01

    Full Text Available Abstract Background RNA dot blot hybridization is a commonly used technique for gene expression assays. However, membrane based RNA dot/slot blot hybridization is time consuming, requires large amounts of RNA, and is less suited for parallel assays of more than one gene at a time. Here, we describe a glass-slide based miniaturized RNA dot blot (RNA array procedure for rapid and parallel gene expression analysis using fluorescently labeled probes. Results RNA arrays were prepared by simple manual spotting of RNA onto amino-silane coated microarray glass slides, and used for two-color fluorescent hybridization with specific probes labeled with Cy3 and 18S ribosomal RNA house-keeping gene probe labeled with Cy5 fluorescent dyes. After hybridization, arrays were scanned on a fluorescent microarray scanner and images analyzed using microarray image analysis software. We demonstrate that this method gives comparable results to Northern blot analysis, and enables high throughput quantification of transcripts from nanogram quantities of total RNA in hundreds of samples. Conclusion RNA array on glass slide and detection by fluorescently labeled probes can be used for rapid and parallel gene expression analysis. The method is particularly well suited for gene expression assays that involve quantitation of many transcripts in large numbers of samples.

  18. FY2008 Report on GADRAS Radiation Transport Methods.

    Energy Technology Data Exchange (ETDEWEB)

    Mattingly, John.; Mitchell, Dean J; Harding, Lee T.; Varley, Eric S.; Hilton, Nathan R.

    2008-10-01

    The primary function of the Gamma Detector Response and Analysis Software (GADRAS) is the solution of inverse radiation transport problems, by which the con-figuration of an unknown radiation source is inferred from one or more measured radia-tion signatures. GADRAS was originally developed for the analysis of gamma spec-trometry measurements. During fiscal years 2007 and 2008, GADRAS was augmented to implement the simultaneous analysis of neutron multiplicity measurements. This report describes the radiation transport methods developed to implement this new capability. This work was performed at the direction of the National Nuclear Security Administration's Office of Nonproliferation Research and Development. It was executed as an element of the Proliferation Detection Program's Simulation, Algorithm, and Modeling element. Acronyms BNL Brookhaven National Laboratory CSD Continuous Slowing-Down DU depleted uranium ENSDF Evaluated Nuclear Structure Data Files GADRAS Gamma Detector Response and Analysis Software HEU highly enriched uranium LANL Los Alamos National Laboratory LLNL Lawrence Livermore National Laboratory NA-22 Office of Nonproliferation Research and Development NNDC National Nuclear Data Center NNSA National Nuclear Security Administration ODE ordinary differential equation ONEDANT One-dimensional diffusion accelerated neutral particle transport ORNL Oak Ridge National Laboratory PARTISN Parallel time-dependent SN PDP Proliferation Detection Program RADSAT Radiation Scenario Analysis Toolkit RSICC Radiation Safety Information Computational Center SAM Simulation, Algorithms, and Modeling SNL Sandia National Laboratories SNM special nuclear material ToRI Table of Radioactive Isotopes URI uniform resource identifier XML Extensible Markup Language

  19. Organisational reviews - requirements, methods and experience. Progress report 2006

    Energy Technology Data Exchange (ETDEWEB)

    Reiman, T.; Oedewald, P.; Wahlstroem, B. [VTT, Technical Research Centre of Finland (Finland); Rollenhagen, C.; Kahlbom, U. [Maelardalen University (FI)

    2007-04-15

    Organisational reviews are important instruments in the continuous quest for improved performance. In the nuclear field there has been an increasing regulatory interest in organisational performance, because incidents and accidents often point to organisational deficiencies as one of the major precursors. Many methods for organisational reviews have been proposed, but they are mostly based on ad hoc approaches to specific problems. The absence of well-established techniques for organisational reviews has already shown to cause discussions and controversies on different levels. The aim of the OrRe project is to collect the experiences from organisational reviews carried out so far and to reflect them in a theoretical model of organisational performance. Furthermore, the project aims to reflect on the criteria for the definition of the scope and content of organisational reviews. Finally, recommendations will be made for guidance for people participating in organisational reviews. This progress report describes regulatory practices in Finland and Sweden together with some case examples of organizational reviews and assessment in both countries. Some issues of concern are raised and an outline for the next year's work is proposed. Issues of concern include the sufficient depth of the assessment, the required competence in assessments, data and criteria problems, definition of the boundaries of the system to be assessed, and the necessary internal support and organisational maturity required for successful assessments. Finally, plans for next year's work are outlined. (au)

  20. The utility of optical detection system (qPCR) and bioinformatics methods in reference gene expression analysis

    Science.gov (United States)

    Skarzyńska, Agnieszka; Pawełkowicz, Magdalena; PlÄ der, Wojciech; Przybecki, Zbigniew

    2016-09-01

    Real-time quantitative polymerase chain reaction is consider as the most reliable method for gene expression studies. However, the expression of target gene could be misinterpreted due to improper normalization. Therefore, the crucial step for analysing of qPCR data is selection of suitable reference genes, which should be validated experimentally. In order to choice the gene with stable expression in the designed experiment, we performed reference gene expression analysis. In this study genes described in the literature and novel genes predicted as control genes, based on the in silico analysis of transcriptome data were used. Analysis with geNorm and NormFinder algorithms allow to create the ranking of candidate genes and indicate the best reference for flower morphogenesis study. According to the results, genes CACS and CYCL were characterised the most stable expression, but the least suitable genes were TUA and EF.

  1. A new method of preparing fiber-optic DNA biosensor and its array for gene detection

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A new method of preparing fiber-optic DNA biosensor and its arrayfor the simultaneous detection of multiple genes is described. The optical fibers were first treated with poly-l-lysine, and then were made into fiber-optic DNA biosensors by adsorbing and immobilizing the oligonucleotide probe on its end. By assembling the fiber-optic DNA biosensors in a bundle in which each fiber carried a different DNA probe, the fiber-optic DNA biosensor array was well prepared. Hybridization of fluorescent- labeled cDNA of p53 gene, N-ras gene and Rb1 gene to the DNA array was monitored by CCD camera. A good result was achieved.

  2. Comprehensive Luciferase-Based Reporter Gene Assay Reveals Previously Masked Up-Regulatory Effects of miRNAs

    Directory of Open Access Journals (Sweden)

    Danae Campos-Melo

    2014-09-01

    Full Text Available MicroRNAs (miRNAs are small non-coding RNAs that regulate the majority of the transcriptome at a post-transcriptional level. Because of this critical role, it is important to ensure that the assays used to determine their functionality are robust and reproducible. Typically, the reporter gene assay in cell-based systems has been the first-line method to study miRNA functionality. In order to overcome some of the potential errors in interpretation that can be associated with this assay, we have developed a detailed protocol for the luciferase reporter gene assay that has been modified for miRNAs. We demonstrate that normalization against the effect of the miRNA and cellular factors on the luciferase coding sequence is essential to obtain the specific impact of the miRNA on the 3'UTR (untranslated region target. Our findings suggest that there is a real possibility that the roles for miRNA in transcriptome regulation may be misreported due to inaccurate normalization of experimental data and also that up-regulatory effects of miRNAs are not uncommon in cells. We propose to establish this comprehensive method as standard for miRNA luciferase reporter assays to avoid errors and misinterpretations in the functionality of miRNAs.

  3. An efficient parallel stochastic simulation method for analysis of nonviral gene delivery systems

    KAUST Repository

    Kuwahara, Hiroyuki

    2011-01-01

    Gene therapy has a great potential to become an effective treatment for a wide variety of diseases. One of the main challenges to make gene therapy practical in clinical settings is the development of efficient and safe mechanisms to deliver foreign DNA molecules into the nucleus of target cells. Several computational and experimental studies have shown that the design process of synthetic gene transfer vectors can be greatly enhanced by computational modeling and simulation. This paper proposes a novel, effective parallelization of the stochastic simulation algorithm (SSA) for pharmacokinetic models that characterize the rate-limiting, multi-step processes of intracellular gene delivery. While efficient parallelizations of the SSA are still an open problem in a general setting, the proposed parallel simulation method is able to substantially accelerate the next reaction selection scheme and the reaction update scheme in the SSA by exploiting and decomposing the structures of stochastic gene delivery models. This, thus, makes computationally intensive analysis such as parameter optimizations and gene dosage control for specific cell types, gene vectors, and transgene expression stability substantially more practical than that could otherwise be with the standard SSA. Here, we translated the nonviral gene delivery model based on mass-action kinetics by Varga et al. [Molecular Therapy, 4(5), 2001] into a more realistic model that captures intracellular fluctuations based on stochastic chemical kinetics, and as a case study we applied our parallel simulation to this stochastic model. Our results show that our simulation method is able to increase the efficiency of statistical analysis by at least 50% in various settings. © 2011 ACM.

  4. A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer’s Disease Diagnosis

    Science.gov (United States)

    Voyle, Nicola; Keohane, Aoife; Newhouse, Stephen; Lunnon, Katie; Johnston, Caroline; Soininen, Hilkka; Kloszewska, Iwona; Mecocci, Patrizia; Tsolaki, Magda; Vellas, Bruno; Lovestone, Simon; Hodges, Angela; Kiddle, Steven; Dobson, Richard JB.

    2015-01-01

    Background: Recent studies indicate that gene expression levels in blood may be able to differentiate subjects with Alzheimer’s disease (AD) from normal elderly controls and mild cognitively impaired (MCI) subjects. However, there is limited replicability at the single marker level. A pathway-based interpretation of gene expression may prove more robust. Objectives: This study aimed to investigate whether a case/control classification model built on pathway level data was more robust than a gene level model and may consequently perform better in test data. The study used two batches of gene expression data from the AddNeuroMed (ANM) and Dementia Case Registry (DCR) cohorts. Methods: Our study used Illumina Human HT-12 Expression BeadChips to collect gene expression from blood samples. Random forest modeling with recursive feature elimination was used to predict case/control status. Age and APOE ɛ4 status were used as covariates for all analysis. Results: Gene and pathway level models performed similarly to each other and to a model based on demographic information only. Conclusions: Any potential increase in concordance from the novel pathway level approach used here has not lead to a greater predictive ability in these datasets. However, we have only tested one method for creating pathway level scores. Further, we have been able to benchmark pathways against genes in datasets that had been extensively harmonized. Further work should focus on the use of alternative methods for creating pathway level scores, in particular those that incorporate pathway topology, and the use of an endophenotype based approach. PMID:26484910

  5. 植物基因克隆的方法%The Methods of Plant Gene Cloning

    Institute of Scientific and Technical Information of China (English)

    王丽媛; 徐明怡; 倪红伟; 张玉; 冷海南

    2015-01-01

    Gene cloning technique is an effective method which can mine new genes and isolate the genes of the genes of impor-tant trait in plants.Along with achievement of arabidopsisthaliana, tomato, poplar of the whole genome sequencing in plant, it marked that the research of plant genome have entered the post-genomics era.Reserches of gene functions, expression and regulation have became a hot spot of research in the future. So the gene cloning technique will be more extensively used. Tish article mainly inro-duced the application,principle, and research advaces of map-baseclonging, transposontagging, homology-based candidate gene method, espressed sequence tagging method.%基因克隆技术是挖掘新基因、分离控制植物重要性状基因的有效手段。随着拟南芥、番茄、杨树等植物全基因组测序的完成,标志着植物基因组的研究进入到了后基因组的时代,研究植物基因功能、表达、调控成为今后研究的热点,因此基因克隆技术应用将更加广泛。本文主要介绍了图位克隆、转座子标签克隆、同源克隆、表达序列标签等植物基因克隆的方法,并对其原理、应用及研究进展做了简单阐述。

  6. Vagaries of fluorochrome reporter gene expression in Foxp3+ regulatory T cells.

    Directory of Open Access Journals (Sweden)

    Sonja Schallenberg

    Full Text Available CD4(+CD25(+ regulatory T (Treg cell lineage commitment and expression of the transcription factor Foxp3 can be induced at the CD4(+CD8(+ double-positive (DP and CD4(+CD8(? single-positive stages of thymic development, as well as in postthymic CD4(+ T cells in peripheral lymphoid tissues. The availability of transgenic mice with Foxp3-dependent fluorochrome reporter gene expression has greatly facilitated studies on the intra- and extrathymic generation of murine Foxp3(+ Treg cells. Here, we performed a comparative analysis of thymic Treg cell development and peripheral compartments of mature Treg cells in various transgenic strains with gene targeted and bacterial artificial chromosome (BAC-driven Foxp3-fluorochrome expression. These studies revealed a relative deficiency of Foxp3(+ DP thymocytes selectively in mice with targeted insertion of the fluorochrome reporter gene coding sequence into the endogenous Foxp3 gene. While Foxp3 BAC-driven fluorochrome expression in ex vivo CD4(+ T cells was found to faithfully reflect Foxp3 protein expression, we provide evidence that Foxp3 BAC transgenesis can result in sizable populations of Foxp3(+ Treg cells that lack fluorochrome reporter expression. This could be attributed to both timely delayed up-regulation of BAC expression in developing Treg cells and the accumulation of peripheral Foxp3(+ Treg cells with continuous transcriptional inactivity of the Foxp3 BAC transgene.

  7. Exploration of new perspectives and limitations in Agrobacterium mediated gene transfer technology. Progress report, [June 1, 1992-- May 31, 1994

    Energy Technology Data Exchange (ETDEWEB)

    Marton, L.

    1994-12-31

    This report describes progress aimed at constructing gene-transfer technology for Nicotiana plumbaginifolia. Most actual effort as described herein has so far been directed at exploring new perspectives and limitations in Agrobacterium mediated gene transfer. Accomplishments are described using a core homologous gene targeting vector.

  8. Recurrent anencephaly: a case report and examination of the VANGL1 and FOXN1 genes.

    Science.gov (United States)

    Sergi, Consolato; Gekas, Jean; Kamnasaran, Deepak

    2013-07-01

    We report a new and rare case of recurrent anencephaly in a family with no other apparent abnormalities. The karyotypes of the family and all affected subjects were normal. Thorough mutational analyses of VANGL1 of chromosome 1p13.1 and FOXN1 of chromosome 17q11-q12, genes that are associated with phenotypes of the anencephaly spectrum, unfortunately did not disclose any DNA variations in an affected fetus of this family. The etiology of recurrent anencephaly in this family is therefore due to mutations in genes yet to be discovered, perhaps of the planar cell polarity pathway, or to possible environmental gestational factors during development.

  9. Molecular characterization of a maize regulatory gene. Progress report, July 1989--March 1990

    Energy Technology Data Exchange (ETDEWEB)

    Wessler, S.

    1990-12-31

    This progress report contains information concerning the characterization of the Maize regulatory gene. The findings of this research program have immediate significance. Firstly, it provides support for the notion that R proteins, produced by the regulatory gene, are functionally equivalent. Secondly, the success of these experiments provides a simple transient assay for either natural or constructed R protein mutations. The relative ease of this assay coupled with overnight results are important prerequisites to the proposed experiments involving a structure-function analysis of the R protein.

  10. Delivery methods for site-specific nucleases: Achieving the full potential of therapeutic gene editing.

    Science.gov (United States)

    Liu, Jia; Shui, Sai-Lan

    2016-12-28

    The advent of site-specific nucleases, particularly CRISPR/Cas9, provides researchers with the unprecedented ability to manipulate genomic sequences. These nucleases are used to create model cell lines, engineer metabolic pathways, produce transgenic animals and plants, perform genome-wide functional screen and, most importantly, treat human diseases that are difficult to tackle by traditional medications. Considerable efforts have been devoted to improving the efficiency and specificity of nucleases for clinical applications. However, safe and efficient delivery methods remain the major obstacle for therapeutic gene editing. In this review, we summarize the recent progress on nuclease delivery methods, highlight their impact on the outcomes of gene editing and discuss the potential of different delivery approaches for therapeutic gene editing.

  11. Form gene clustering method about pan-ethnic-group products based on emotional semantic

    Science.gov (United States)

    Chen, Dengkai; Ding, Jingjing; Gao, Minzhuo; Ma, Danping; Liu, Donghui

    2016-09-01

    The use of pan-ethnic-group products form knowledge primarily depends on a designer's subjective experience without user participation. The majority of studies primarily focus on the detection of the perceptual demands of consumers from the target product category. A pan-ethnic-group products form gene clustering method based on emotional semantic is constructed. Consumers' perceptual images of the pan-ethnic-group products are obtained by means of product form gene extraction and coding and computer aided product form clustering technology. A case of form gene clustering about the typical pan-ethnic-group products is investigated which indicates that the method is feasible. This paper opens up a new direction for the future development of product form design which improves the agility of product design process in the era of Industry 4.0.

  12. An Improved RSP Method to Detect HpaI Polymorphism in the Apolipoprotein C-1 Gene Promoter

    Directory of Open Access Journals (Sweden)

    Lavoie Tera

    2002-11-01

    Full Text Available Abstract Background An apolipoprotein C1 gene promoter polymorphism (CGTT insertion at position -317 is associated with familial dysbetalipoprotemia, cardiovascular diseases, and Alzheimer's disease. Restriction site polymorphism (RSP assays were previously established to detect this polymorphism. In this study, we introduce an improved RSP assay to detect this polymorphism. Methods This method included newly designed primers and only one round of PCR amplification which yields one short and specific APOC1 fragment followed by HpaI digestion. Briefly, It consists of three steps: 1 one round of PCR amplification of DNA sample, 2 HpaI enzyme digestion of PCR products, and 3 electrophoresis on an agarose gel to visualize the genotypes. This improved RSP method was applied to genotype 92 human samples collected from The Johns Hopkins Hospital. Results The observed allele frequencies for H1 and H2 from 92 genotyped human subjects were 0.707 and 0.293 respectively. The H2 allele frequency in the black subjects (0.350 was significantly (p = 0.024 higher than that in the white subjects (0.177. This method was more economical and convenient than the methods previously reported to detect this mutation in the APOC1 gene. Conclusions This assay will be readily applied to screen large sample sizes for population studies in a simple and cost effective way.

  13. A novel coding method for gene mutation correction during protein translation process.

    Science.gov (United States)

    Zhang, Lei; Tian, Fengchun; Wang, Shiyuan; Liu, Xiao

    2012-03-07

    In gene expression, gene mutations often lead to negative effect of protein translation in prokaryotic organisms. With consideration of the influences produced by gene mutation, a novel method based on error-correction coding theory is proposed for modeling and detection of translation initiation in this paper. In the proposed method, combined with a one-dimensional codebook from block coding, a decoding method based on the minimum hamming distance is designed for analysis of translation efficiency. The results show that the proposed method can recognize the biologically significant regions such as Shine-Dalgarno region within the mRNA leader sequences effectively. Also, a global analysis of single base and multiple bases mutations of the Shine-Dalgarno sequences are established. Compared with other published experimental methods for mutation analysis, the translation initiation can not be disturbed by multiple bases mutations using the proposed method, which shows the effectiveness of this method in improving the translation efficiency and its biological relevance for genetic regulatory system.

  14. HyPEP FY06 Report: Models and Methods

    Energy Technology Data Exchange (ETDEWEB)

    DOE report

    2006-09-01

    The Department of Energy envisions the next generation very high-temperature gas-cooled reactor (VHTR) as a single-purpose or dual-purpose facility that produces hydrogen and electricity. The Ministry of Science and Technology (MOST) of the Republic of Korea also selected VHTR for the Nuclear Hydrogen Development and Demonstration (NHDD) Project. This research project aims at developing a user-friendly program for evaluating and optimizing cycle efficiencies of producing hydrogen and electricity in a Very-High-Temperature Reactor (VHTR). Systems for producing electricity and hydrogen are complex and the calculations associated with optimizing these systems are intensive, involving a large number of operating parameter variations and many different system configurations. This research project will produce the HyPEP computer model, which is specifically designed to be an easy-to-use and fast running tool for evaluating nuclear hydrogen and electricity production facilities. The model accommodates flexible system layouts and its cost models will enable HyPEP to be well-suited for system optimization. Specific activities of this research are designed to develop the HyPEP model into a working tool, including (a) identifying major systems and components for modeling, (b) establishing system operating parameters and calculation scope, (c) establishing the overall calculation scheme, (d) developing component models, (e) developing cost and optimization models, and (f) verifying and validating the program. Once the HyPEP model is fully developed and validated, it will be used to execute calculations on candidate system configurations. FY-06 report includes a description of reference designs, methods used in this study, models and computational strategies developed for the first year effort. Results from computer codes such as HYSYS and GASS/PASS-H used by Idaho National Laboratory and Argonne National Laboratory, respectively will be benchmarked with HyPEP results in the

  15. MUTATIONS IN CORNEAL CARBOHYDRATE SULFOTRANSFERASE 6 GENE (CHST6 IN IRANIAN MACULAR CORNEAL DYSTROPHY (MCD PATIENTS: A REPORT OF 7 PATIENTS FROM IRAN

    Directory of Open Access Journals (Sweden)

    Mitra ATAEI

    2010-10-01

    Full Text Available ObjectiveMacular Corneal Dystrophy (MCD is a rare autosomal recessive disorder affecting the stroma of cornea. Most cases of MCD are caused by mutations in CHST6 gene. The aim of this study was to determine mutations in the carbohydrate sulfotransferase 6 gene (CHST6 through genetic analysis of 7 Iranian patients with MCD.Materials & MethodsWe screened the CHST6 gene to determine the range of pathogenic mutations. Genomic DNA was extracted from peripheral blood leukocytes. The coding regions of the CHST6 gene were amplified using three pairs of primers, and directly sequenced in the final step.ResultsFour mutations were found to affect the translated protein and each of them corresponded to a particular disease haplotype that has been previously reported.Keywords:Macular Corneal Dystrophy (MCD, Iranian Patients, Carbohydrate Sulfotransferase 6 Gene (CHST6

  16. Methods for the detection of specific bacteria and their genes in soil

    NARCIS (Netherlands)

    Elsas, van J.D.; Waalwijk, C.

    1991-01-01

    Methods for the introduction of specific genetic markers into soil bacteria and detection of these bacteria in soil are reviewed. Cuiturable cells may be detected and quantified by (selective) cultivation followed by gene probing. Non-culturable cells may be detected by immunofluorescence using

  17. Quantification of Atlantic salmon type-I interferon using an Mx1 promoter reporter gene assay.

    Science.gov (United States)

    Johansen, Audny; Collet, Bertrand; Sandaker, Elin; Secombes, Christopher J; Jørgensen, Jorunn B

    2004-02-01

    We here describe an assay for the detection of interferon-like activity in Atlantic salmon based on the transient transfection of chinook salmon embryo cells (CHSE-214 cells) with a rainbow trout Mx1 promoter linked to a luciferase reporter. A beta-galactosidase gene under the control of a constitutively expressed beta-actin promoter was used as a transfection standard, and luciferase and beta gal expression were measured by a commercially available kit. Interferon containing supernatants from poly I:C- or CpG-stimulated leucocytes added to transfected CHSE-cells induced high luciferase expression (>60-fold induction compared to supernatants from non-stimulated cells). There was no response to supernatants from LPS- and ConA/PMA-stimulated leucocytes, demonstrating the specificity for type I interferon-like activity. Duplicate samples analysed using a cell protection assay for detection of antiviral activity correlated well with levels obtained by the Mx1 promoter reporter gene assay (R2=0.97), confirming the reporter assay as a reliable substitute for the standard antiviral assay. The Mx reporter gene assay also has advantages in terms of sensitivity, high dynamic range and reliability over the conventional cell protection assay.

  18. A semi-supervised method for predicting transcription factor-gene interactions in Escherichia coli.

    Directory of Open Access Journals (Sweden)

    Jason Ernst

    2008-03-01

    Full Text Available While Escherichia coli has one of the most comprehensive datasets of experimentally verified transcriptional regulatory interactions of any organism, it is still far from complete. This presents a problem when trying to combine gene expression and regulatory interactions to model transcriptional regulatory networks. Using the available regulatory interactions to predict new interactions may lead to better coverage and more accurate models. Here, we develop SEREND (SEmi-supervised REgulatory Network Discoverer, a semi-supervised learning method that uses a curated database of verified transcriptional factor-gene interactions, DNA sequence binding motifs, and a compendium of gene expression data in order to make thousands of new predictions about transcription factor-gene interactions, including whether the transcription factor activates or represses the gene. Using genome-wide binding datasets for several transcription factors, we demonstrate that our semi-supervised classification strategy improves the prediction of targets for a given transcription factor. To further demonstrate the utility of our inferred interactions, we generated a new microarray gene expression dataset for the aerobic to anaerobic shift response in E. coli. We used our inferred interactions with the verified interactions to reconstruct a dynamic regulatory network for this response. The network reconstructed when using our inferred interactions was better able to correctly identify known regulators and suggested additional activators and repressors as having important roles during the aerobic-anaerobic shift interface.

  19. Gene Expression Profiling in Hereditary, BRCA1-linked Breast Cancer: Preliminary Report

    Directory of Open Access Journals (Sweden)

    Dudaladava Volha

    2006-01-01

    Full Text Available Abstract Global analysis of gene expression by DNA microarrays is nowadays a widely used tool, especially relevant for cancer research. It helps the understanding of complex biology of cancer tissue, allows identification of novel molecular markers, reveals previously unknown molecular subtypes of cancer that differ by clinical features like drug susceptibility or general prognosis. Our aim was to compare gene expression profiles in breast cancer that develop against a background of inherited predisposing mutations versus sporadic breast cancer. In this preliminary study we analysed seven hereditary, BRCA1 mutation-linked breast cancer tissues and seven sporadic cases that were carefully matched by histopathology and ER status. Additionally, we analysed 6 samples of normal breast tissue. We found that while the difference in gene expression profiles between tumour tissue and normal breast can be easily recognized by unsupervised algorithms, the difference between those two types of tumours is more discrete. However, by supervised methods of data analysis, we were able to select a set of genes that may differentiate between hereditary and sporadic tumours. The most significant difference concerns genes that code for proteins engaged in regulation of transcription, cellular metabolism, signalling, proliferation and cell death. Microarray results for chosen genes (TOB1, SEPHS2 were validated by real-time RT-PCR.

  20. Effect of method of deduplication on estimation of differential gene expression using RNA-seq

    Directory of Open Access Journals (Sweden)

    Anna V. Klepikova

    2017-03-01

    Full Text Available Background RNA-seq is a useful tool for analysis of gene expression. However, its robustness is greatly affected by a number of artifacts. One of them is the presence of duplicated reads. Results To infer the influence of different methods of removal of duplicated reads on estimation of gene expression in cancer genomics, we analyzed paired samples of hepatocellular carcinoma (HCC and non-tumor liver tissue. Four protocols of data analysis were applied to each sample: processing without deduplication, deduplication using a method implemented in SAMtools, and deduplication based on one or two molecular indices (MI. We also analyzed the influence of sequencing layout (single read or paired end and read length. We found that deduplication without MI greatly affects estimated expression values; this effect is the most pronounced for highly expressed genes. Conclusion The use of unique molecular identifiers greatly improves accuracy of RNA-seq analysis, especially for highly expressed genes. We developed a set of scripts that enable handling of MI and their incorporation into RNA-seq analysis pipelines. Deduplication without MI affects results of differential gene expression analysis, producing a high proportion of false negative results. The absence of duplicate read removal is biased towards false positives. In those cases where using MI is not possible, we recommend using paired-end sequencing layout.

  1. Gene Transfection Method Using Atmospheric Pressure Dielectric-Barrier Discharge Plasmas

    Science.gov (United States)

    Sasaki, Shota; Kanzaki, Makoto; Kaneko, Toshiro

    2013-09-01

    Gene transfection which is the process of deliberately introducing nucleic acids into cells is expected to play an important role in medical treatment because the process is necessary for gene therapy and creation of induced pluripotent stem (iPS) cells. However, the conventional transfection methods have some problems, so we focus attention on promising transfection methods by atmospheric pressure dielectric-barrier discharge (AP-DBD) plasmas. AP-DBD He plasmas are irradiated to the living cell covered with genes. Preliminarily, we use fluorescent dye YOYO-1 instead of the genes and use LIVE/DEAD Stain for cell viability test, and we analyze the transfection efficiency and cell viability under the various conditions. It is clarified that the transfection efficiency is strongly dependence on the plasma irradiation time and cell viability rates is high rates (>90%) regardless of long plasma irradiation time. These results suggest that ROS (Reactive Oxygen Species) and electric field generated by the plasma affect the gene transfection. In addition to this (the plasma irradiation time) dependency, we now investigate the effect of the plasma irradiation under the various conditions.

  2. A realistic assessment of methods for extracting gene/protein interactions from free text

    Directory of Open Access Journals (Sweden)

    Shepherd Adrian J

    2009-07-01

    Full Text Available Abstract Background The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research. In this paper we present a realistic evaluation of gene/protein interaction mining relevant to potential non-specialist users. Hence we have specifically avoided methods that are complex to install or require reimplementation, and we coupled our chosen extraction methods with a state-of-the-art biomedical named entity tagger. Results Our results show: that performance across different evaluation corpora is extremely variable; that the use of tagged (as opposed to gold standard gene and protein names has a significant impact on performance, with a drop in F-score of over 20 percentage points being commonplace; and that a simple keyword-based benchmark algorithm when coupled with a named entity tagger outperforms two of the tools most widely used to extract gene/protein interactions. Conclusion In terms of availability, ease of use and performance, the potential non-specialist user community interested in automatically extracting gene and/or protein interactions from free text is poorly served by current tools and systems. The public release of extraction tools that are easy to install and use, and that achieve state-of-art levels of performance should be treated as a high priority by the biomedical text mining community.

  3. Effect of method of deduplication on estimation of differential gene expression using RNA-seq

    Science.gov (United States)

    Chesnokov, Mikhail S.; Lazarevich, Natalia L.; Penin, Aleksey A.

    2017-01-01

    Background RNA-seq is a useful tool for analysis of gene expression. However, its robustness is greatly affected by a number of artifacts. One of them is the presence of duplicated reads. Results To infer the influence of different methods of removal of duplicated reads on estimation of gene expression in cancer genomics, we analyzed paired samples of hepatocellular carcinoma (HCC) and non-tumor liver tissue. Four protocols of data analysis were applied to each sample: processing without deduplication, deduplication using a method implemented in SAMtools, and deduplication based on one or two molecular indices (MI). We also analyzed the influence of sequencing layout (single read or paired end) and read length. We found that deduplication without MI greatly affects estimated expression values; this effect is the most pronounced for highly expressed genes. Conclusion The use of unique molecular identifiers greatly improves accuracy of RNA-seq analysis, especially for highly expressed genes. We developed a set of scripts that enable handling of MI and their incorporation into RNA-seq analysis pipelines. Deduplication without MI affects results of differential gene expression analysis, producing a high proportion of false negative results. The absence of duplicate read removal is biased towards false positives. In those cases where using MI is not possible, we recommend using paired-end sequencing layout. PMID:28321364

  4. Case report of novel CACNA1A gene mutation causing episodic ataxia type 2

    Directory of Open Access Journals (Sweden)

    David Alan Isaacs

    2017-05-01

    Full Text Available Background: Episodic ataxia type 2 (OMIM 108500 is an autosomal dominant channelopathy characterized by paroxysms of ataxia, vertigo, nausea, and other neurologic symptoms. More than 50 mutations of the CACNA1A gene have been discovered in families with episodic ataxia type 2, although 30%–50% of all patients with typical episodic ataxia type 2 phenotype have no detectable mutation of the CACNA1A gene. Case: A 46-year-old Caucasian man, with a long history of bouts of imbalance, vertigo, and nausea, presented to our hospital with 2 weeks of ataxia and headache. Subsequent evaluation revealed a novel mutation in the CACNA1A gene: c.1364 G > A Arg455Gln. Acetazolamide was initiated with symptomatic improvement. Conclusion: This case report expands the list of known CACNA1A mutations associated with episodic ataxia type 2.

  5. Case report of novel CACNA1A gene mutation causing episodic ataxia type 2.

    Science.gov (United States)

    Isaacs, David Alan; Bradshaw, Michael J; Brown, Kelly; Hedera, Peter

    2017-01-01

    Episodic ataxia type 2 (OMIM 108500) is an autosomal dominant channelopathy characterized by paroxysms of ataxia, vertigo, nausea, and other neurologic symptoms. More than 50 mutations of the CACNA1A gene have been discovered in families with episodic ataxia type 2, although 30%-50% of all patients with typical episodic ataxia type 2 phenotype have no detectable mutation of the CACNA1A gene. A 46-year-old Caucasian man, with a long history of bouts of imbalance, vertigo, and nausea, presented to our hospital with 2 weeks of ataxia and headache. Subsequent evaluation revealed a novel mutation in the CACNA1A gene: c.1364 G > A Arg455Gln. Acetazolamide was initiated with symptomatic improvement. This case report expands the list of known CACNA1A mutations associated with episodic ataxia type 2.

  6. Reprogramming Methods Do Not Affect Gene Expression Profile of Human Induced Pluripotent Stem Cells

    Directory of Open Access Journals (Sweden)

    Marta Trevisan

    2017-01-01

    Full Text Available Induced pluripotent stem cells (iPSCs are pluripotent cells derived from adult somatic cells. After the pioneering work by Yamanaka, who first generated iPSCs by retroviral transduction of four reprogramming factors, several alternative methods to obtain iPSCs have been developed in order to increase the yield and safety of the process. However, the question remains open on whether the different reprogramming methods can influence the pluripotency features of the derived lines. In this study, three different strategies, based on retroviral vectors, episomal vectors, and Sendai virus vectors, were applied to derive iPSCs from human fibroblasts. The reprogramming efficiency of the methods based on episomal and Sendai virus vectors was higher than that of the retroviral vector-based approach. All human iPSC clones derived with the different methods showed the typical features of pluripotent stem cells, including the expression of alkaline phosphatase and stemness maker genes, and could give rise to the three germ layer derivatives upon embryoid bodies assay. Microarray analysis confirmed the presence of typical stem cell gene expression profiles in all iPSC clones and did not identify any significant difference among reprogramming methods. In conclusion, the use of different reprogramming methods is equivalent and does not affect gene expression profile of the derived human iPSCs.

  7. Locating disease genes using Bayesian variable selection with the Haseman-Elston method

    Directory of Open Access Journals (Sweden)

    He Qimei

    2003-12-01

    Full Text Available Abstract Background We applied stochastic search variable selection (SSVS, a Bayesian model selection method, to the simulated data of Genetic Analysis Workshop 13. We used SSVS with the revisited Haseman-Elston method to find the markers linked to the loci determining change in cholesterol over time. To study gene-gene interaction (epistasis and gene-environment interaction, we adopted prior structures, which incorporate the relationship among the predictors. This allows SSVS to search in the model space more efficiently and avoid the less likely models. Results In applying SSVS, instead of looking at the posterior distribution of each of the candidate models, which is sensitive to the setting of the prior, we ranked the candidate variables (markers according to their marginal posterior probability, which was shown to be more robust to the prior. Compared with traditional methods that consider one marker at a time, our method considers all markers simultaneously and obtains more favorable results. Conclusions We showed that SSVS is a powerful method for identifying linked markers using the Haseman-Elston method, even for weak effects. SSVS is very effective because it does a smart search over the entire model space.

  8. Construction and application of a promoter-trapping vector with methyl parathion hydrolase gene mpd as the reporter.

    Science.gov (United States)

    Cui, Zhong-Li; Zhang, Xiao-Zhou; Zhang, Zhong-Hui; Li, Shun-Peng

    2004-07-01

    A facilitative and efficient promoter-trapping vector, pUC-mpd, was constructed with the promoterless methyl parathion hydrolase gene as the reporter. This reporter gene is easily used to clone promoters with different promoting strength on selective plates. Promoter regions of the ytkA and ywoF genes with strong promoting and signal peptide functions were cloned from the Bacillus subtilis 168 genomic promoter library with this vector.

  9. 77 FR 56176 - Analytical Methods Used in Periodic Reporting

    Science.gov (United States)

    2012-09-12

    ... for the International Cost and Revenue Analysis's (ICRA) reporting of Inbound International revenue... Postal Settlement System as Sole Source for Reporting of Inbound International Revenue, Pieces, and... Inbound International revenue, pieces, and weight would improve the consistency among the ICRA, RPW,...

  10. Luciferase NanoLuc as a reporter for gene expression and protein levels in Saccharomyces cerevisiae

    Science.gov (United States)

    Masser, Anna E.; Kandasamy, Ganapathi; Kaimal, Jayasankar Mohanakrishnan

    2016-01-01

    Abstract Reporter proteins are essential tools in the study of biological processes and are employed to monitor changes in gene expression and protein levels. Luciferases are reporter proteins that enable rapid and highly sensitive detection with an outstanding dynamic range. Here we evaluated the usefulness of the 19 kDa luciferase NanoLuc (Nluc), derived from the deep sea shrimp Oplophorus gracilirostris, as a reporter protein in yeast. Cassettes with codon‐optimized genes expressing yeast Nluc (yNluc) or its destabilized derivative yNlucPEST have been assembled in the context of the dominant drug resistance marker kanMX. The reporter proteins do not impair the growth of yeast cells and exhibit half‐lives of 40 and 5 min, respectively. The commercial substrate Nano‐Glo® is compatible with detection of yNluc bioluminescence in bioluminescent signal and mRNA levels during both induction and decay. We demonstrated that the bioluminescence of yNluc fused to the C‐terminus of a temperature‐sensitive protein reports on its protein levels. In conclusion, yNluc and yNlucPEST are valuable new reporter proteins suitable for experiments with yeast using standard commercial substrate. © 2016 The Authors. Yeast published by John Wiley & Sons Ltd. PMID:26860732

  11. A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction.

    Science.gov (United States)

    Marceau, Rachel; Lu, Wenbin; Holloway, Shannon; Sale, Michèle M; Worrall, Bradford B; Williams, Stephen R; Hsu, Fang-Chi; Tzeng, Jung-Ying

    2015-09-01

    Kernel machine (KM) models are a powerful tool for exploring associations between sets of genetic variants and complex traits. Although most KM methods use a single kernel function to assess the marginal effect of a variable set, KM analyses involving multiple kernels have become increasingly popular. Multikernel analysis allows researchers to study more complex problems, such as assessing gene-gene or gene-environment interactions, incorporating variance-component based methods for population substructure into rare-variant association testing, and assessing the conditional effects of a variable set adjusting for other variable sets. The KM framework is robust, powerful, and provides efficient dimension reduction for multifactor analyses, but requires the estimation of high dimensional nuisance parameters. Traditional estimation techniques, including regularization and the "expectation-maximization (EM)" algorithm, have a large computational cost and are not scalable to large sample sizes needed for rare variant analysis. Therefore, under the context of gene-environment interaction, we propose a computationally efficient and statistically rigorous "fastKM" algorithm for multikernel analysis that is based on a low-rank approximation to the nuisance effect kernel matrices. Our algorithm is applicable to various trait types (e.g., continuous, binary, and survival traits) and can be implemented using any existing single-kernel analysis software. Through extensive simulation studies, we show that our algorithm has similar performance to an EM-based KM approach for quantitative traits while running much faster. We also apply our method to the Vitamin Intervention for Stroke Prevention (VISP) clinical trial, examining gene-by-vitamin effects on recurrent stroke risk and gene-by-age effects on change in homocysteine level.

  12. Writing a Mixed Methods Report in Social Work Research

    Science.gov (United States)

    Bronstein, Laura R.; Kovacs, Pamela J.

    2013-01-01

    This article briefly chronicles the development of mixed methods research and its use in social work. We then move onto a discussion of terms and designs, reasons for (and for not) using mixed methods. Drawing upon exemplars, we address how to write up a mixed methods study when (1) the sample is single; single for one part, with a subset for the…

  13. Writing a Mixed Methods Report in Social Work Research

    Science.gov (United States)

    Bronstein, Laura R.; Kovacs, Pamela J.

    2013-01-01

    This article briefly chronicles the development of mixed methods research and its use in social work. We then move onto a discussion of terms and designs, reasons for (and for not) using mixed methods. Drawing upon exemplars, we address how to write up a mixed methods study when (1) the sample is single; single for one part, with a subset for the…

  14. Adaptor-tagged competitive PCR: a novel method for measuring relative gene expression.

    OpenAIRE

    Kato, K.

    1997-01-01

    A simple and reliable PCR-based method to quantitate gene expression is described. Following the digestion of double-stranded cDNA by a restriction enzyme, an adaptor is ligated to a cDNA from a first RNA sample, and another adaptor to a second RNA sample. The two adaptors share a common sequence at the outer region, but differ in size. Equal amounts of the ligated samples are mixed, and amplified by an adaptor-primer and a primer specific to the gene of interest. Products derived from the tw...

  15. Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks

    Directory of Open Access Journals (Sweden)

    Dubitzky Werner

    2010-09-01

    Full Text Available Abstract Background A gene-regulatory network (GRN refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed. Creating accurate dynamic models of GRNs is gaining importance in biomedical research and development. To improve our understanding of continuous deterministic modeling methods employed to construct dynamic GRN models, we have carried out a comprehensive comparative study of three commonly used systems of ordinary differential equations: The S-system (SS, artificial neural networks (ANNs, and the general rate law of transcription (GRLOT method. These were thoroughly evaluated in terms of their ability to replicate the reference models' regulatory structure and dynamic gene expression behavior under varying conditions. Results While the ANN and GRLOT methods appeared to produce robust models even when the model parameters deviated considerably from those of the reference models, SS-based models exhibited a notable loss of performance even when the parameters of the reverse-engineered models corresponded closely to those of the reference models: this is due to the high number of power terms in the SS-method, and the manner in which they are combined. In cross-method reverse-engineering experiments the different characteristics, biases and idiosynchracies of the methods were revealed. Based on limited training data, with only one experimental condition, all methods produced dynamic models that were able to reproduce the training data accurately. However, an accurate reproduction of regulatory network features was only possible with training data originating from multiple experiments under varying conditions. Conclusions The studied GRN modeling methods produced dynamic GRN models exhibiting marked differences in their ability to replicate the reference models' structure and behavior. Our results suggest that care should be taking when a method is chosen for a

  16. Reporter gene assay for the quantification of the activity and neutralizing antibody response to TNFα antagonists

    DEFF Research Database (Denmark)

    Lallemand, Christophe; Kavrochorianou, Nadia; Steenholdt, Casper;

    2011-01-01

    relative to Renilla luciferase expression. Thus, results are independent of cell number or differences in cell viability, resulting in intra and inter assay coefficients of variation of 10% or less. Normalization of results relative to the expression of an internal standard also provides a means......A cell-based assay has been developed for the quantification of the activity of TNFa antagonists based on human erythroleukemic K562 cells transfected with a NF¿B regulated firefly luciferase reporter-gene construct. Both drug activity and anti-drug neutralizing antibodies can be quantified...... with a high degree of precision within 2h, and without interference from cytokines and other factors known to activate NF¿B. The assay cells also contain the Renilla luciferase reporter gene under the control of a constitutive promoter that allows TNFa-induced firefly luciferase activity to be normalized...

  17. Reporter gene assay for the quantification of the activity and neutralizing antibody response to TNFα antagonists

    DEFF Research Database (Denmark)

    Lallemand, Christophe; Kavrochorianou, Nadia; Steenholdt, Casper;

    2011-01-01

    relative to Renilla luciferase expression. Thus, results are independent of cell number or differences in cell viability, resulting in intra and inter assay coefficients of variation of 10% or less. Normalization of results relative to the expression of an internal standard also provides a means......A cell-based assay has been developed for the quantification of the activity of TNFα antagonists based on human erythroleukemic K562 cells transfected with a NFκB regulated firefly luciferase reporter-gene construct. Both drug activity and anti-drug neutralizing antibodies can be quantified...... with a high degree of precision within 2h, and without interference from cytokines and other factors known to activate NFκB. The assay cells also contain the Renilla luciferase reporter gene under the control of a constitutive promoter that allows TNFα-induced firefly luciferase activity to be normalized...

  18. A small scale cell culture system to analyze mechanobiology using reporter gene constructs and polyurethane dishes

    DEFF Research Database (Denmark)

    Seefried, Lothar; Mueller-Deubert, Sigrid; Wentzer, Thomas Schwarz

    2010-01-01

    Mechanical forces are translated into biochemical signals and contribute to cell differentiation and phenotype maintenance. Mesenchymal stem cells and their tissue-specific offspring, as osteoblasts and chondrocytes, cells of cardiovascular tissues and lung cells are sensitive to mechanical loading...... but molecules and mechanisms involved have to be unraveled. It is well established that cellular mechanotransduction is mediated e.g. by activation of the transcription factor SP1 and by kinase signaling cascades resulting in the activation of the AP1 complex. To investigate cellular mechanisms involved...... in mechanotransduction and to analyze substances, which modulate cellular mechanosensitivity reporter gene constructs, which can be transfected into cells of interest might be helpful. Suitable small-scale bioreactor systems and mechanosensitive reporter gene constructs are lacking. To analyze the molecular mechanisms...

  19. Reporter gene imaging of targeted T cell immunotherapy in recurrent glioma.

    Science.gov (United States)

    Keu, Khun Visith; Witney, Timothy H; Yaghoubi, Shahriar; Rosenberg, Jarrett; Kurien, Anita; Magnusson, Rachel; Williams, John; Habte, Frezghi; Wagner, Jamie R; Forman, Stephen; Brown, Christine; Allen-Auerbach, Martin; Czernin, Johannes; Tang, Winson; Jensen, Michael C; Badie, Behnam; Gambhir, Sanjiv S

    2017-01-18

    High-grade gliomas are aggressive cancers that often become rapidly fatal. Immunotherapy using CD8(+) cytotoxic T lymphocytes (CTLs), engineered to express both herpes simplex virus type 1 thymidine kinase (HSV1-TK) and interleukin-13 (IL-13) zetakine chimeric antigen receptor (CAR), is a treatment strategy with considerable potential. To optimize this and related immunotherapies, it would be helpful to monitor CTL viability and trafficking to glioma cells. We show that noninvasive positron emission tomography (PET) imaging with 9-[4-[(18)F]fluoro-3-(hydroxymethyl)butyl]guanine ([(18)F]FHBG) can track HSV1-tk reporter gene expression present in CAR-engineered CTLs. [(18)F]FHBG imaging was safe and enabled the longitudinal imaging of T cells stably transfected with a PET reporter gene in patients. Further optimization of this imaging approach for monitoring in vivo cell trafficking should greatly benefit various cell-based therapies for cancer.

  20. Evaluation of a GFP Report Gene Construct for Environmental Arsenic Detection

    Energy Technology Data Exchange (ETDEWEB)

    Roberto, F.F.; Barnes, J.M.; Bruhn, D.F.

    2002-03-28

    Detection of arsenic and other heavy metal contaminants in the environment is critical to ensuring safe drinking water and effective cleanup of historic activities that have led to widespread contamination of soil and groundwater. Biosensors have the potential to significantly reduce the costs associated with site characterization and long term environmental monitoring. By exploiting the highly selective and sensitive natural mechanisms by which bacteria and other living organisms respond to heavy metals, and fusing transcriptionally active components of these mechanisms to reporter genes, such as B-galactosidase, bacterial luciferase (lux), or green fluorescent protein (GFP) from marine jellyfish, it is possible to produce inexpensive, yet effective biosensors. This article describes the response to submicrogram quantities of arsenite and arsenate of a whole cell arsenic biosensor utilizing a GFP reporter gene.

  1. PRODUCT GENE REPRESENTATION AND ACQUISITION METHOD BASED ON POPULATION OF PRODUCT CASES

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The representation and acquisition of a product gene is a crucial problem in product evolutionary design. A new methodology of product gene representation and acquisition from a population of product cases is proposed, and the methodology for product evolutionary design based on a population of product cases is realized. By properly classifying product cases according to its product species, the populations of product cases are divided and a model is established. Knowledge of the scheme design is extracted and formulated as the function base, principle base, and structure base, which are then combined to form a product gene. Subsequently, the product gene tree is created and represented by object-oriented method. Then combining this method with the evolutionary reasoning technology, an intelligent and automatic evolutionary scheme design of product based on the population of product cases is realized. This design method will be helpful in the processing of knowledge formulation, accumulation, and reuse, and in addressing the difficulty of acquiring design knowledge in traditional design. In addition, the disadvantages of manual case adaptation and update in case-based reasoning can be eliminated. Moreover, by optimizing the design scheme in multiple levels and aspects of product function, principle, and structure etc., the level of creativity in the scheme design can be improved.

  2. Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies.

    Science.gov (United States)

    Pearce, Dominic A; Arthur, Laura M; Turnbull, Arran K; Renshaw, Lorna; Sabine, Vicky S; Thomas, Jeremy S; Bartlett, John M S; Dixon, J Michael; Sims, Andrew H

    2016-07-07

    Patient-matched transcriptomic studies using tumour samples before and after treatment allow inter-patient heterogeneity to be controlled, but tend not to include an untreated comparison. Here, Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven paired diagnostic core and surgically excised breast cancer biopsies obtained from women receiving no treatment prior to surgery, to determine the impact of sampling method and tumour heterogeneity. Despite a lack of treatment and perhaps surprisingly, consistent changes in gene expression were identified during the diagnosis-surgery interval (48 up, 2 down; Siggenes FDR 0.05) in a manner independent of both subtype and sampling-interval length. Instead, tumour sampling method was seen to directly impact gene expression, with similar effects additionally identified in six published breast cancer datasets. In contrast with previous findings, our data does not support the concept of a significant wounding or immune response following biopsy in the absence of treatment and instead implicates a hypoxic response following the surgical biopsy. Whilst sampling-related gene expression changes are evident in treated samples, they are secondary to those associated with response to treatment. Nonetheless, sampling method remains a potential confounding factor for neoadjuvant study design.

  3. Efficient gene therapy-based method for the delivery of therapeutics to primate cortex.

    Science.gov (United States)

    Kells, Adrian P; Hadaczek, Piotr; Yin, Dali; Bringas, John; Varenika, Vanja; Forsayeth, John; Bankiewicz, Krystof S

    2009-02-17

    Transduction of the primate cortex with adeno-associated virus (AAV)-based gene therapy vectors has been challenging, because of the large size of the cortex. We report that a single infusion of AAV2 vector into thalamus results in widespread expression of transgene in the cortex through transduction of widely dispersed thalamocortical projections. This finding has important implications for the treatment of certain genetic and neurodegenerative diseases.

  4. Comparative study of cellular kinetics of reporter probe [{sup 131}I]FIAU in neonatal cardiac myocytes after transfer of HSV1-tk reporter gene with two vectors

    Energy Technology Data Exchange (ETDEWEB)

    Lan Xiaoli [Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 (China); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022 (China)], E-mail: lxl730724@hotmail.com; Yin Xiaohua; Wang Ruihua; Liu Ying [Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 (China); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022 (China); Zhang Yongxue [Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 (China) and Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022 (China)], E-mail: zhyx1229@163.com

    2009-02-15

    Aim: Reporter gene imaging is a promising approach for noninvasive monitoring of cardiac gene therapy. In this study, HSV1-tk (herpes simplex virus type 1 thymidine kinase) and FIAU (2'-fluoro-2'-deoxy-1-{beta}-D-arabinofuranosyl-5-iodouracil) were used as the reporter gene and probe, respectively. Cellular uptakes of radiolabeled FIAU of neonatal rat cardiac myocytes transferred with HSV1-tk were compared between two vectors, adenovirus and liposome. The aims of this study were to choose the better vector and to provide a theoretical basis for good nuclide images. Methods: Neonatal cardiac myocytes were obtained from rat heart by single collagenase digestion. HSV1-tk inserted into adenovirus vector (recombinant adenovirus type 5, Ad5-tk) and plasmid (pDC316-tk) coated with Lipofectamine 2000 (pDC316-tk/lipoplex) were developed; thus, HSV1-tk could be transferred into neonatal cardiac myocytes. FAU (2'-fluoro-2'-deoxy-1-{beta}-D-arabinofuranosyluracil) was labeled with {sup 131}I, and the product was assessed after purification with reversed-phase Sep-Pak C-18 column. The uptake rates of [{sup 131}I]FIAU in the transferred cardiac myocytes at different times (0.5, 1, 2, 3, 4 and 5 h) were detected. Furthermore, mRNA expression and protein expression of HSV1-tk were detected by semiquantitative reverse-transcriptase polymerase chain reaction and immunocytochemistry. Results: FAU could be labeled with {sup 131}I, and the labeling efficiency and radiochemical purity rates were 53.82{+-}2.05% and 94.85{+-}1.76%, respectively. Time-dependent increase of the accumulation of [{sup 131}I]FIAU was observed in both the Ad5-tk group and the pDC316/lipoplex group, and the highest uptake rate occurred at 5 h, with peak values of 12.55{+-}0.37% and 2.09{+-}0.34%, respectively. Greater uptakes of [{sup 131}I]FIAU in Ad5-tk-infected cells compared with pDC316/lipoplex-transfected ones occurred at all the time points (t=12.978-38.253, P<.01). The exogenous gene

  5. Gene and genetic diagnostic method patent claims: a comparison under current European and US patent law.

    Science.gov (United States)

    Huys, Isabelle; Van Overwalle, Geertrui; Matthijs, Gert

    2011-10-01

    The paper focuses on the fundamental debate that is going on in Europe and the United States about whether genes and genetic diagnostic methods are to be regarded as inventions or subject matter eligible for patent protection, or whether they are discoveries or principles of nature and thus excluded from patentability. The study further explores some possible scenarios of American influences on European patent applications with respect to genetic diagnostic methods. Our analysis points out that patent eligibility for genes and genetic diagnostic methods, as discussed in the United States in the Association of Molecular Pathology versus US Patent and Trademark Office decision, is based on a different reasoning compared with the European Patent Convention.

  6. A Digital Signal Processing Method for Gene Prediction with Improved Noise Suppression

    Directory of Open Access Journals (Sweden)

    Carreira Alex

    2004-01-01

    Full Text Available It has been observed that the protein-coding regions of DNA sequences exhibit period-three behaviour, which can be exploited to predict the location of coding regions within genes. Previously, discrete Fourier transform (DFT and digital filter-based methods have been used for the identification of coding regions. However, these methods do not significantly suppress the noncoding regions in the DNA spectrum at . Consequently, a noncoding region may inadvertently be identified as a coding region. This paper introduces a new technique (a single digital filter operation followed by a quadratic window operation that suppresses nearly all of the noncoding regions. The proposed method therefore improves the likelihood of correctly identifying coding regions in such genes.

  7. Comparison of restriction enzyme pattern analysis and full gene sequencing of 16S rRNA gene for Nocardia species identification, the first report of Nocardia transvalensis isolated of sputum from Iran, and review of the literature.

    Science.gov (United States)

    Fatahi-Bafghi, Mehdi; Heidarieh, Parvin; Rasouli-Nasab, Masoumeh; Habibnia, Shadi; Hashemi-Shahraki, Abdorazagh; Eshraghi, Seyyed Saeed

    2016-10-01

    Nocardial infections occur in different organs of the body and are common in immune disorder diseases of individuals. The aim of this study was to assess Nocardia species identification by phenotypic tests and molecular techniques applied to nocardiosis in Iranian patients. In the current study, various clinical samples were collected and cultured on conventional media and using the paraffin baiting method. Various phenotypic tests were performed. For accurate identification at the species level, restriction fragment length polymorphisms (RFLP) in the hsp65 and partial 16S rRNA genes and full gene sequencing of the 16S rRNA gene were used. Twenty-seven Nocardia spp. were isolated and analysis of phenotypic tests results showed Nocardia asteroides complex, Nocardia otitidiscaviarum, Nocardia nova, and Nocardia spp. New RFLP patterns of Nocardia strains with hsp65 and partial 16S rRNA genes were obtained. Full gene sequencing of the 16S rRNA gene identified Nocardia cyriacigeorgica, N. otitidiscaviarum, Nocardia farcinica, Nocardia transvalensis, and N. nova. Nocardia infections are rarely reported and this genus is the cause of various illnesses. Accurate identification of Nocardia spp. is important for epidemiology studies and treatment. It should also be noted that some species may have similar RFLP patterns; therefore, full gene sequencing of the 16S rRNA gene is necessary for confirmation.

  8. VERBAL REPORTS AS A METHOD TO ELICIT LEXICAL PROCESSING STRATEGIES

    Directory of Open Access Journals (Sweden)

    Kusumarasdyati Kusumarasdyati

    2006-01-01

    Full Text Available The present paper addresses the advantages and the limitations of using verbal reports in a study on the lexical processing strategies of learners' reading in English as a Foreign Language (EFL in Indonesia. While verbal reports offer invaluable data in exploring mental processing, caution should be applied in its use; consequently, a number of actions need to be taken to minimize the limitations to obtain more valid data.

  9. The promoter competition assay (PCA): a new approach to identify motifs involved in the transcriptional activity of reporter genes.

    Science.gov (United States)

    Hube, Florent; Myal, Yvonne; Leygue, Etienne

    2006-05-01

    Identifying particular motifs responsible for promoter activity is a crucial step toward the development of new gene-based preventive and therapeutic strategies. However, to date, experimental methods to study promoter activity remain limited. We present in this report a promoter competition assay designed to identify, within a given promoter region, motifs critical for its activity. This assay consists in co-transfecting the promoter to be analyzed and double-stranded oligonucleotides which will compete for the binding of transcription factors. Using the recently characterized SBEM promoter as model, we first delineated the feasibility of the method and optimized the experimental conditions. We then identified, within an 87-bp region responsible for a strong expression of the reporter gene, an octamer-binding site essential for its transcriptional regulation. The importance of this motif has been confirmed by site-directed mutagenesis. The promoter competition assay appears to be a fast and efficient approach to identify, within a given promoter sequence, sites critical for its activity.

  10. Live-cell Imaging of Pol II Promoter Activity to Monitor Gene expression with RNA IMAGEtag reporters

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Ilchung [Ames Laboratory; Ray, Judhajeet [Ames Laboratory; Gupta, Vinayak [Iowa State University; Ilgu, Muslum [Ames Laboratory; Beasley, Jonathan [Iowa State University; Bendickson, Lee [Ames Laboratory; Mehanovic, Samir [Molecular Express; Kraus, George A. [Iowa State University; Nilsen-Hamilton, Marit [Ames Laboratory

    2014-04-20

    We describe a ribonucleic acid (RNA) reporter system for live-cell imaging of gene expression to detect changes in polymerase II activity on individual promoters in individual cells. The reporters use strings of RNA aptamers that constitute IMAGEtags (Intracellular MultiAptamer GEnetic tags) that can be expressed from a promoter of choice. For imaging, the cells are incubated with their ligands that are separately conjugated with one of the FRET pair, Cy3 and Cy5. The IMAGEtags were expressed in yeast from the GAL1, ADH1 or ACT1 promoters. Transcription from all three promoters was imaged in live cells and transcriptional increases from the GAL1 promoter were observed with time after adding galactose. Expression of the IMAGEtags did not affect cell proliferation or endogenous gene expression. Advantages of this method are that no foreign proteins are produced in the cells that could be toxic or otherwise influence the cellular response as they accumulate, the IMAGEtags are short lived and oxygen is not required to generate their signals. The IMAGEtag RNA reporter system provides a means of tracking changes in transcriptional activity in live cells and in real time.

  11. Isolated fungal promoters and gene transcription terminators and methods of protein and chemical production in a fungus

    Energy Technology Data Exchange (ETDEWEB)

    Dai, Ziyu; Lasure, Linda L; Magnuson, Jon K

    2014-05-27

    The present invention encompasses isolated gene regulatory elements and gene transcription terminators that are differentially expressed in a native fungus exhibiting a first morphology relative to the native fungus exhibiting a second morphology. The invention also encompasses a method of utilizing a fungus for protein or chemical production. A transformed fungus is produced by transforming a fungus with a recombinant polynucleotide molecule. The recombinant polynucleotide molecule contains an isolated polynucleotide sequence linked operably to another molecule comprising a coding region of a gene of interest. The gene regulatory element and gene transcription terminator may temporally and spatially regulate expression of particular genes for optimum production of compounds of interest in a transgenic fungus.

  12. Isolated fungal promoters and gene transcription terminators and methods of protein and chemical production in a fungus

    Energy Technology Data Exchange (ETDEWEB)

    Dai, Ziyu; Lasure, Linda L; Magnuson, Jon K

    2014-05-27

    The present invention encompasses isolated gene regulatory elements and gene transcription terminators that are differentially expressed in a native fungus exhibiting a first morphology relative to the native fungus exhibiting a second morphology. The invention also encompasses a method of utilizing a fungus for protein or chemical production. A transformed fungus is produced by transforming a fungus with a recombinant polynucleotide molecule. The recombinant polynucleotide molecule contains an isolated polynucleotide sequence linked operably to another molecule comprising a coding region of a gene of interest. The gene regulatory element and gene transcription terminator may temporally and spatially regulate expression of particular genes for optimum production of compounds of interest in a transgenic fungus.

  13. Isolated Fungal Promoters and Gene Transcription Terminators and Methods of Protein and Chemical Production in a Fungus

    Science.gov (United States)

    Dai, Ziyu; Lasure, Linda L.; Magnuson, Jon K.

    2008-11-11

    The present invention encompasses isolated gene regulatory elements and gene transcription terminators that are differentially expressed in a native fungus exhibiting a first morphology relative to the native fungus exhibiting a second morphology. The invention also encompasses a method of utilizing a fungus for protein or chemical production. A transformed fungus is produced by transforming a fungus with a recombinant polynucleotide molecule. The recombinant polynucleotide molecule contains an isolated polynucleotide sequence linked operably to another molecule comprising a coding region of a gene of interest. The gene regulatory element and gene transcription terminator may temporally and spatially regulate expression of particular genes for optimum production of compounds of interest in a transgenic fungus.

  14. Rational Design of a Triple Reporter Gene for Multimodality Molecular Imaging

    Directory of Open Access Journals (Sweden)

    Ya-Ju Hsieh

    2014-01-01

    Full Text Available Multimodality imaging using noncytotoxic triple fusion (TF reporter genes is an important application for cell-based tracking, drug screening, and therapy. The firefly luciferase (fl, monomeric red fluorescence protein (mrfp, and truncated herpes simplex virus type 1 thymidine kinase SR39 mutant (ttksr39 were fused together to create TF reporter gene constructs with different order. The enzymatic activities of TF protein in vitro and in vivo were determined by luciferase reporter assay, H-FEAU cellular uptake experiment, bioluminescence imaging, and micropositron emission tomography (microPET. The TF construct expressed in H1299 cells possesses luciferase activity and red fluorescence. The tTKSR39 activity is preserved in TF protein and mediates high levels of H-FEAU accumulation and significant cell death from ganciclovir (GCV prodrug activation. In living animals, the luciferase and tTKSR39 activities of TF protein have also been successfully validated by multimodality imaging systems. The red fluorescence signal is relatively weak for in vivo imaging but may expedite FACS-based selection of TF reporter expressing cells. We have developed an optimized triple fusion reporter construct DsRedm-fl-ttksr39 for more effective and sensitive in vivo animal imaging using fluorescence, bioluminescence, and PET imaging modalities, which may facilitate different fields of biomedical research and applications.

  15. Methods for Analyzing the Role of DNA Methylation and Chromatin Structure in Regulating T Lymphocyte Gene Expression

    Directory of Open Access Journals (Sweden)

    Lu Qianjin

    2004-01-01

    Full Text Available Chromatin structure, determined in part by DNA methylation, is established during differentiation and prevents expression of genes unnecessary for the function of a given cell type. We reported that DNA methylation and chromatin structure contributes to lymphoid-specific ITGAL (CD11a and PRF1 (perforin expression. We used bisulfite sequencing to compare methylation patterns in the ITGAL promoter and 5' flanking region of T cells and fibroblasts, and in the PRF1 promoter and upstream enhancer of CD4+ and CD8+ T cells with fibroblasts. The effects of methylation on promoter function were tested using regional methylation of reporter constructs, and confirmed by DNA methyltransferase inhibition. The relationship between DNA methylation and chromatin structure was analyzed by DNaseI hypersensitivity. Herein we described the methods and results in greater detail.

  16. Final report on the Copper Mountain conference on multigrid methods

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-10-01

    The Copper Mountain Conference on Multigrid Methods was held on April 6-11, 1997. It took the same format used in the previous Copper Mountain Conferences on Multigrid Method conferences. Over 87 mathematicians from all over the world attended the meeting. 56 half-hour talks on current research topics were presented. Talks with similar content were organized into sessions. Session topics included: fluids; domain decomposition; iterative methods; basics; adaptive methods; non-linear filtering; CFD; applications; transport; algebraic solvers; supercomputing; and student paper winners.

  17. In vitro culture of embryonic mouse intestinal epithelium: cell differentiation and introduction of reporter genes

    Directory of Open Access Journals (Sweden)

    Hornsey Mark A

    2006-05-01

    to two weeks, they form the full repertoire of intestinal epithelial cell types (enterocytes, goblet cells, Paneth cells and enteroendocrine cells and the method for gene introduction into the epithelium is efficient and reliable.

  18. Use of the Aspergillus oryzae actin gene promoter in a novel reporter system for exploring antifungal compounds and their target genes.

    Science.gov (United States)

    Marui, Junichiro; Yoshimi, Akira; Hagiwara, Daisuke; Fujii-Watanabe, Yoshimi; Oda, Ken; Koike, Hideaki; Tamano, Koichi; Ishii, Tomoko; Sano, Motoaki; Machida, Masayuki; Abe, Keietsu

    2010-08-01

    Demand for novel antifungal drugs for medical and agricultural uses has been increasing because of the diversity of pathogenic fungi and the emergence of drug-resistant strains. Genomic resources for various living species, including pathogenic fungi, can be utilized to develop novel and effective antifungal compounds. We used Aspergillus oryzae as a model to construct a reporter system for exploring novel antifungal compounds and their target genes. The comprehensive gene expression analysis showed that the actin-encoding actB gene was transcriptionally highly induced by benomyl treatment. We therefore used the actB gene to construct a novel reporter system for monitoring responses to cytoskeletal stress in A. oryzae by introducing the actB promoter::EGFP fusion gene. Distinct fluorescence was observed in the reporter strain with minimum background noise in response to not only benomyl but also compounds inhibiting lipid metabolism that is closely related to cell membrane integrity. The fluorescent responses indicated that the reporter strain can be used to screen for lead compounds affecting fungal microtubule and cell membrane integrity, both of which are attractive antifungal targets. Furthermore, the reporter strain was shown to be technically applicable for identifying novel target genes of antifungal drugs triggering perturbation of fungal microtubules or membrane integrity.

  19. Interpreting Patterns of Gene Expression with Self-Organizing Maps: Methods and Application to Hematopoietic Differentiation

    Science.gov (United States)

    Tamayo, Pablo; Slonim, Donna; Mesirov, Jill; Zhu, Qing; Kitareewan, Sutisak; Dmitrovsky, Ethan; Lander, Eric S.; Golub, Todd R.

    1999-03-01

    Array technologies have made it straightforward to monitor simultaneously the expression pattern of thousands of genes. The challenge now is to interpret such massive data sets. The first step is to extract the fundamental patterns of gene expression inherent in the data. This paper describes the application of self-organizing maps, a type of mathematical cluster analysis that is particularly well suited for recognizing and classifying features in complex, multidimensional data. The method has been implemented in a publicly available computer package, GENECLUSTER, that performs the analytical calculations and provides easy data visualization. To illustrate the value of such analysis, the approach is applied to hematopoietic differentiation in four well studied models (HL-60, U937, Jurkat, and NB4 cells). Expression patterns of some 6,000 human genes were assayed, and an online database was created. GENECLUSTER was used to organize the genes into biologically relevant clusters that suggest novel hypotheses about hematopoietic differentiation--for example, highlighting certain genes and pathways involved in "differentiation therapy" used in the treatment of acute promyelocytic leukemia.

  20. A method for multiplex gene synthesis employing error correction based on expression.

    Directory of Open Access Journals (Sweden)

    Timothy H-C Hsiau

    Full Text Available Our ability to engineer organisms with new biosynthetic pathways and genetic circuits is limited by the availability of protein characterization data and the cost of synthetic DNA. With new tools for reading and writing DNA, there are opportunities for scalable assays that more efficiently and cost effectively mine for biochemical protein characteristics. To that end, we have developed the Multiplex Library Synthesis and Expression Correction (MuLSEC method for rapid assembly, error correction, and expression characterization of many genes as a pooled library. This methodology enables gene synthesis from microarray-synthesized oligonucleotide pools with a one-pot technique, eliminating the need for robotic liquid handling. Post assembly, the gene library is subjected to an ampicillin based quality control selection, which serves as both an error correction step and a selection for proteins that are properly expressed and folded in E. coli. Next generation sequencing of post selection DNA enables quantitative analysis of gene expression characteristics. We demonstrate the feasibility of this approach by building and testing over 90 genes for empirical evidence of soluble expression. This technique reduces the problem of part characterization to multiplex oligonucleotide synthesis and deep sequencing, two technologies under extensive development with projected cost reduction.

  1. An ensemble method for gene discovery based on DNA microarray data

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    The advent of DNA microarray technology has offered the promise of casting new insights onto deciphering secrets of life by monitoring activities of thousands of genes simultaneously.Current analyses of microarray data focus on precise classification of biological types,for example,tumor versus normal tissues.A further scientific challenging task is to extract disease-relevant genes from the bewildering amounts of raw data,which is one of the most critical themes in the post-genomic era,but it is generally ignored due to lack of an efficient approach.In this paper,we present a novel ensemble method for gene extraction that can be tailored to fulfill multiple biological tasks including(i)precise classification of biological types;(ii)disease gene mining; and(iii)target-driven gene networking.We also give a numerical application for(i)and(ii)using a public microarrary data set and set aside a separate paper to address(iii).

  2. A method for multiplex gene synthesis employing error correction based on expression.

    Science.gov (United States)

    Hsiau, Timothy H-C; Sukovich, David; Elms, Phillip; Prince, Robin N; Strittmatter, Tobias; Stritmatter, Tobias; Ruan, Paul; Curry, Bo; Anderson, Paige; Sampson, Jeff; Anderson, J Christopher

    2015-01-01

    Our ability to engineer organisms with new biosynthetic pathways and genetic circuits is limited by the availability of protein characterization data and the cost of synthetic DNA. With new tools for reading and writing DNA, there are opportunities for scalable assays that more efficiently and cost effectively mine for biochemical protein characteristics. To that end, we have developed the Multiplex Library Synthesis and Expression Correction (MuLSEC) method for rapid assembly, error correction, and expression characterization of many genes as a pooled library. This methodology enables gene synthesis from microarray-synthesized oligonucleotide pools with a one-pot technique, eliminating the need for robotic liquid handling. Post assembly, the gene library is subjected to an ampicillin based quality control selection, which serves as both an error correction step and a selection for proteins that are properly expressed and folded in E. coli. Next generation sequencing of post selection DNA enables quantitative analysis of gene expression characteristics. We demonstrate the feasibility of this approach by building and testing over 90 genes for empirical evidence of soluble expression. This technique reduces the problem of part characterization to multiplex oligonucleotide synthesis and deep sequencing, two technologies under extensive development with projected cost reduction.

  3. Multi-locus association study of schizophrenia susceptibility genes with a posterior probability method

    Institute of Scientific and Technical Information of China (English)

    SUN Xiangqing; JIA Yanbin; ZHANG Xuegong; XU Qi; SHEN Yan; LI Yanda

    2005-01-01

    Schizophrenia is a serious neuropsychiatric illness affecting about 1% of the world's population. It is considered a complex inheritance disorder. A number of genes are involved in combination in the etiology of the disorder. Evidence implicates the altered dopaminergic transmission in schizophrenia. In the present study, in order to identify susceptibility genes for schizophrenia in dopaminergic metabolism, we analyzed 59 single nucleotide polymorphisms (SNPs) in 24 genes of the dopaminergic pathway among 82 unrelated patients with schizophrenia and 108 matched normal controls. Considering that traditional single-locus association studies ignore the multigenic nature of complex diseases and do not take into account possible interactions between susceptibility genes, we proposed a multi-locus analysis method, using the posterior probability of morbidity as a measure of absolute disease risk for a multi-locus genotype combination, and developed an algorithm based on perturbation and average to detect the susceptibility multi-locus genotype combinations, as well as to repress noise and avoid false positive results at our best. A three-locus SNP genotype combination involved in the interactions of COMTand ALDH3B1 genes was detected to be significantly susceptible to schizophrenia.

  4. Genome Fusion Detection: a novel method to detect fusion genes from SNP-array data.

    Science.gov (United States)

    Thieme, Sebastian; Groth, Philip

    2013-03-15

    Fusion genes result from genomic rearrangements, such as deletions, amplifications and translocations. Such rearrangements can also frequently be observed in cancer and have been postulated as driving event in cancer development. to detect them, one needs to analyze the transition region of two segments with different copy number, the location where fusions are known to occur. Finding fusion genes is essential to understanding cancer development and may lead to new therapeutic approaches. Here we present a novel method, the Genomic Fusion Detection algorithm, to predict fusion genes on a genomic level based on SNP-array data. This algorithm detects genes at the transition region of segments with copy number variation. With the application of defined constraints, certain properties of the detected genes are evaluated to predict whether they may be fused. We evaluated our prediction by calculating the observed frequency of known fusions in both primary cancers and cell lines. We tested a set of cell lines positive for the BCR-ABL1 fusion and prostate cancers positive for the TMPRSS2-ERG fusion. We could detect the fusions in all positive cell lines, but not in the negative controls.

  5. Rapid isolation of gene homologs across taxa: Efficient identification and isolation of gene orthologs from non-model organism genomes, a technical report

    Directory of Open Access Journals (Sweden)

    Heffer Alison

    2011-03-01

    Full Text Available Abstract Background Tremendous progress has been made in the field of evo-devo through comparisons of related genes from diverse taxa. While the vast number of species in nature precludes a complete analysis of the molecular evolution of even one single gene family, this would not be necessary to understand fundamental mechanisms underlying gene evolution if experiments could be designed to systematically sample representative points along the path of established phylogenies to trace changes in regulatory and coding gene sequence. This isolation of homologous genes from phylogenetically diverse, representative species can be challenging, especially if the gene is under weak selective pressure and evolving rapidly. Results Here we present an approach - Rapid Isolation of Gene Homologs across Taxa (RIGHT - to efficiently isolate specific members of gene families. RIGHT is based upon modification and a combination of degenerate polymerase chain reaction (PCR and gene-specific amplified fragment length polymorphism (AFLP. It allows targeted isolation of specific gene family members from any organism, only requiring genomic DNA. We describe this approach and how we used it to isolate members of several different gene families from diverse arthropods spanning millions of years of evolution. Conclusions RIGHT facilitates systematic isolation of one gene from large gene families. It allows for efficient gene isolation without whole genome sequencing, RNA extraction, or culturing of non-model organisms. RIGHT will be a generally useful method for isolation of orthologs from both distant and closely related species, increasing sample size and facilitating the tracking of molecular evolution of gene families and regulatory networks across the tree of life.

  6. FIELD ANALYTICAL SCREENING PROGRAM: PCP METHOD - INNOVATIVE TECHNOLOGY EVALUATION REPORT

    Science.gov (United States)

    The Field Analytical Screening Program (FASP) pentachlorophenol (PCP) method uses a gas chromatograph (GC) equipped with a megabore capillary column and flame ionization detector (FID) and electron capture detector (ECD) to identify and quantify PCP. The FASP PCP method is design...

  7. A Novel Gene Selection Method Based on Sparse Representation and Max-Relevance and Min-Redundancy.

    Science.gov (United States)

    Chen, Min; He, Xiaoming; Duan, ShaoBin; Deng, YingWei

    2017-01-01

    Gene selection method as an important data preprocessing work has been followed. The criteria Maximum relevance and minimum redundancy (MRMR) has been commonly used for gene selection, which has a satisfactory performance in evaluating the correlation between two genes. However, for viewing genes in isolation, it ignores the influence of other genes. In this study, we propose a new method based on sparse representation and MRMR algorithm (SRCMRM), using the sparse representation coefficient to represent the relevance of genes and correlation between genes and categories. The SRCMRMR algorithm contains two steps. Firstly, the genes irrelevant to the classification target are removed by using sparse representation coefficient. Secondly, sparse representation coefficient is used to calculate the correlation between genes and the most representative gene with the highest evaluation. To validate the performance of the SRCMRM, our method is compared with various algorithms. The proposed method achieves better classification accuracy for all datasets. The effectiveness and stability of our method have been proven through various experiments, which means that our method has practical significance. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  8. First report of a de novo germline mutation in the MLH1 gene

    Institute of Scientific and Technical Information of China (English)

    Rein P Stulp; Yvonne J Vos; Bart Mol; Arend Karrenbeld; Monique de Raad; Huub JC van der Mijle; Rolf H Sijmons

    2006-01-01

    Hereditary non-polyposis colorectal carcinoma (HNPCC)is an autosomal dominant disorder associated with colorectal and endometrial cancer and a range of other tumor types. Germline mutations in the DNA mismatch repair (MMR) genes, particularly MLH1, MSH2, and MSH6, underlie this disorder. The vast majority of these HNPCC-associated mutations have been proven,or assumed, given the family history of cancer, to be transmitted through several generations. To the best of our knowledge, only a single case of a de novo germline MMR gene mutation (in MSH2) has been reported till now. Here, we report a patient with a de novo mutation in MLH1. We identified a MLH1 Q701X truncating mutation in the blood lymphocytes of a male who had been diagnosed with rectal cancer at the age of 35. His family history of cancer was negative for the first- and second-degree relatives. The mutation could not be detected in the patient's parents and sibling and paternity was confirmed with a set of highly polymorphic markers. Non-penetrance and small family size is the common explanation of verified negative family histories of cancer in patients with a germline MMR gene mutation. However, in addition to some cases explained by non-paternity, de novo germline mutations should be considered as a possible explanation as well. As guidelines that stress not to restrict MMR gene mutation testing to patients with a positive family history are more widely introduced, more cases of de novo MMR gene germline mutations may be revealed.

  9. Bacterial host and reporter gene optimization for genetically encoded whole cell biosensors.

    Science.gov (United States)

    Brutesco, Catherine; Prévéral, Sandra; Escoffier, Camille; Descamps, Elodie C T; Prudent, Elsa; Cayron, Julien; Dumas, Louis; Ricquebourg, Manon; Adryanczyk-Perrier, Géraldine; de Groot, Arjan; Garcia, Daniel; Rodrigue, Agnès; Pignol, David; Ginet, Nicolas

    2017-01-01

    Whole-cell biosensors based on reporter genes allow detection of toxic metals in water with high selectivity and sensitivity under laboratory conditions; nevertheless, their transfer to a commercial inline water analyzer requires specific adaptation and optimization to field conditions as well as economical considerations. We focused here on both the influence of the bacterial host and the choice of the reporter gene by following the responses of global toxicity biosensors based on constitutive bacterial promoters as well as arsenite biosensors based on the arsenite-inducible Pars promoter. We observed important variations of the bioluminescence emission levels in five different Escherichia coli strains harboring two different lux-based biosensors, suggesting that the best host strain has to be empirically selected for each new biosensor under construction. We also investigated the bioluminescence reporter gene system transferred into Deinococcus deserti, an environmental, desiccation- and radiation-tolerant bacterium that would reduce the manufacturing costs of bacterial biosensors for commercial water analyzers and open the field of biodetection in radioactive environments. We thus successfully obtained a cell survival biosensor and a metal biosensor able to detect a concentration as low as 100 nM of arsenite in D. deserti. We demonstrated that the arsenite biosensor resisted desiccation and remained functional after 7 days stored in air-dried D. deserti cells. We also report here the use of a new near-infrared (NIR) fluorescent reporter candidate, a bacteriophytochrome from the magnetotactic bacterium Magnetospirillum magneticum AMB-1, which showed a NIR fluorescent signal that remained optimal despite increasing sample turbidity, while in similar conditions, a drastic loss of the lux-based biosensors signal was observed.

  10. GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge

    Science.gov (United States)

    Wagner, Florian

    2015-01-01

    Method Genome-wide expression profiling is a widely used approach for characterizing heterogeneous populations of cells, tissues, biopsies, or other biological specimen. The exploratory analysis of such data typically relies on generic unsupervised methods, e.g. principal component analysis (PCA) or hierarchical clustering. However, generic methods fail to exploit prior knowledge about the molecular functions of genes. Here, I introduce GO-PCA, an unsupervised method that combines PCA with nonparametric GO enrichment analysis, in order to systematically search for sets of genes that are both strongly correlated and closely functionally related. These gene sets are then used to automatically generate expression signatures with functional labels, which collectively aim to provide a readily interpretable representation of biologically relevant similarities and differences. The robustness of the results obtained can be assessed by bootstrapping. Results I first applied GO-PCA to datasets containing diverse hematopoietic cell types from human and mouse, respectively. In both cases, GO-PCA generated a small number of signatures that represented the majority of lineages present, and whose labels reflected their respective biological characteristics. I then applied GO-PCA to human glioblastoma (GBM) data, and recovered signatures associated with four out of five previously defined GBM subtypes. My results demonstrate that GO-PCA is a powerful and versatile exploratory method that reduces an expression matrix containing thousands of genes to a much smaller set of interpretable signatures. In this way, GO-PCA aims to facilitate hypothesis generation, design of further analyses, and functional comparisons across datasets. PMID:26575370

  11. A reporter gene assay to assess the molecular mechanisms of xenobiotic-dependent induction of the human CYP3A4 gene in vitro.

    Science.gov (United States)

    Ogg, M S; Williams, J M; Tarbit, M; Goldfarb, P S; Gray, T J; Gibson, G G

    1999-03-01

    1. A plasmid containing 1 kb of the CYP3A4 regulatory (promoter) region coupled to a reporter gene for secretary placental alkaline phosphatase (SPAP) was transfected into HepG2 cells. Transfected cells were dosed with several known inducers of CYP3A4 and the levels of SPAP were measured. The effect of co-transfecting a plasmid encoding the human glucocorticoid receptor on reporter gene activity was also examined. 2. Dexamethasone induced CYP3A4-dependent reporter gene expression in a concentration-dependent manner and induction was approximately doubled in the presence of the glucocorticoid receptor. Dexamethasone-dependent induction was blocked by RU-486 (a glucocorticoid receptor antagonist), in the presence of the co-transfected glucocorticoid receptor. 3. Induction of CYP3A4-dependent reporter gene expression and enhancement of the induction by the glucocorticoid receptor was also observed with pregnenolone-16alpha-carbonitrile (PCN), rifampicin, phenytoin, carbamazepine, phenylbutazone and phenobarbitone, all known in vivo inducers of CYP3A4 in man. 4. Metyrapone and sulfinpyrazone induced CYP3A4-dependent reporter gene expression, but induction was not enhanced by the glucocorticoid receptor. 5. Clotrimazole, erythromycin and triacetyloleandomycin (TAO) did not induce CYP3A4-dependent reporter gene expression, consistent with the observation that these inducers act through post-transcriptional mechanisms. 6. These results highlight differences in the molecular mechanisms of induction of CYP3A4 by the xenobiotics studied and indicate that the glucocorticoid receptor is involved in the induction of the CYP3A4 gene by some, but not all, CYP3A4 inducers. 7. We propose that the approach described here provides a useful in vitro approach for the identification of transcriptional regulators of the CYP3A4 gene.

  12. ANMM4CBR: a case-based reasoning method for gene expression data classification

    Directory of Open Access Journals (Sweden)

    Li Shao

    2010-01-01

    Full Text Available Abstract Background Accurate classification of microarray data is critical for successful clinical diagnosis and treatment. The "curse of dimensionality" problem and noise in the data, however, undermines the performance of many algorithms. Method In order to obtain a robust classifier, a novel Additive Nonparametric Margin Maximum for Case-Based Reasoning (ANMM4CBR method is proposed in this article. ANMM4CBR employs a case-based reasoning (CBR method for classification. CBR is a suitable paradigm for microarray analysis, where the rules that define the domain knowledge are difficult to obtain because usually only a small number of training samples are available. Moreover, in order to select the most informative genes, we propose to perform feature selection via additively optimizing a nonparametric margin maximum criterion, which is defined based on gene pre-selection and sample clustering. Our feature selection method is very robust to noise in the data. Results The effectiveness of our method is demonstrated on both simulated and real data sets. We show that the ANMM4CBR method performs better than some state-of-the-art methods such as support vector machine (SVM and k nearest neighbor (kNN, especially when the data contains a high level of noise. Availability The source code is attached as an additional file of this paper.

  13. Expression of Bacillus Species Isolated Phytase Gene from Soil by PCR Method

    Directory of Open Access Journals (Sweden)

    Nazemi, A. (PhD

    2014-06-01

    Full Text Available Background and Objective: Recognizing and using of isolated phytase in the soil microorganisms are paramount importance to produce the Phytase enzyme utilized commercially in different industries. This study was conducted to recognize different bacillus species which are Phytase producers and detection of the gene that can produce this enzyme. Material and Methods: Soil samples were gathered through different parts of mountainous areas. The early isolation of bacillus was carried out in Bacillus Medium Agar. After isolating the bacteria and genome extraction, the responsible gene of enzyme producer recognized and amplified by PCR method. The size of this protein and the optimal production situation in supplemental exploitation such as SDS-PAGE and the enzymatic activity of its size were evaluated. Results: Of 40 samples, one bacterium secreting Phytase enzyme was isolated. This bacterium was sequenced and recognized Bacillus Sobtlis species that is classified in STR Genus. The size of protein phytase produced by this gene was about 45 KD and the enzyme activity at 55 degrees was measured about 5.65 in wavelength of 415 NM. The phytase gene with the size of 1200 bp was propagated. Conclusion: the microorganisms, in natural conditions, produce Phytase enzyme in limited amount and with the quality appropriate to microorganisms. Thus, isolating the bacilli producing Phytase enzyme and purifying this protein are highly significant. Key words: Bacillus Subtilis; Phytase; SDS-PAGE; Enzymatic Activity; Polymerization Chain Reaction

  14. TRINS: a method for gene modification by randomized tandem repeat insertions.

    Science.gov (United States)

    Kipnis, Yakov; Dellus-Gur, Eynat; Tawfik, Dan S

    2012-09-01

    In nature, the evolution of new protein functions is driven not only by side-chain substitutions (point mutations), but also by backbone modifications (insertions and deletions). The current laboratory diversification methods, however, are largely limited to point mutations. Of particular interest are short insertions-by-duplication that are frequent in nature but cannot be introduced in vitro in a library format (i.e. in random locations and lengths). Here, we describe a new procedure that allows the generation of tandem repeats of random fragments of the target gene via rolling-circle amplification, and the concurrent incorporation of these repeats into the target gene. This procedure, dubbed tandem repeat insertion, or TRINS, results in a library of genes carrying insertions-by-duplication of variable lengths (3-150 bp) at random positions. This diversification pattern allows sampling of sequence space regions that are not readily accessible by other protocols. We demonstrate this method by constructing three different gene libraries, and by selecting insertion variants of TEM-1 β-lactamase.

  15. 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.

  16. Strategy for the mapping of interactive genes using bulked segregant analysis method and Mapmaker/Exp software

    Institute of Scientific and Technical Information of China (English)

    WU Weiren; HUANG Biguang

    2006-01-01

    A qualitative trait is usually controlled by a single gene, but it may be sometimes controlled by two or even more genes. This phenomenon is called gene interaction. Rapidly searching for linked molecular markers via bulked segregant analysis (BSA)and then constructing regional linkage map with Mapmaker/Exp has become a common approach to mapping single major genes. However, methods and computer programs developed for mapping single major genes cannot be simply applied to interactive genes because the genetic patterns of gene interactions are quite different from that of single-gene inheritance. Up to now, experimental methods for quickly screening molecular markers linked to interactive genes and statistical methods and corresponding computer softwares for simultaneously analyzing the linkage relationships of multiple molecular markers to an interactive gene have not been available. To solve this problem, in this paper, we propose a strategy for mapping interactive genes using BSA and Mapmaker/Exp. We demonstrate that Mapmaker/Exp' strategy using F2 generation (in a few cases, F3 generation is also needed). As BSA and Mapmaker/Exp have been broadly used in gene mapping studies and are well known by many researchers, the strategies proposed in this paper will be useful for practical researches.

  17. Analysis of the robustness of network-based disease-gene prioritization methods reveals redundancy in the human interactome and functional diversity of disease-genes.

    Directory of Open Access Journals (Sweden)

    Emre Guney

    Full Text Available Complex biological systems usually pose a trade-off between robustness and fragility where a small number of perturbations can substantially disrupt the system. Although biological systems are robust against changes in many external and internal conditions, even a single mutation can perturb the system substantially, giving rise to a pathophenotype. Recent advances in identifying and analyzing the sequential variations beneath human disorders help to comprehend a systemic view of the mechanisms underlying various disease phenotypes. Network-based disease-gene prioritization methods rank the relevance of genes in a disease under the hypothesis that genes whose proteins interact with each other tend to exhibit similar phenotypes. In this study, we have tested the robustness of several network-based disease-gene prioritization methods with respect to the perturbations of the system using various disease phenotypes from the Online Mendelian Inheritance in Man database. These perturbations have been introduced either in the protein-protein interaction network or in the set of known disease-gene associations. As the network-based disease-gene prioritization methods are based on the connectivity between known disease-gene associations, we have further used these methods to categorize the pathophenotypes with respect to the recoverability of hidden disease-genes. Our results have suggested that, in general, disease-genes are connected through multiple paths in the human interactome. Moreover, even when these paths are disturbed, network-based prioritization can reveal hidden disease-gene associations in some pathophenotypes such as breast cancer, cardiomyopathy, diabetes, leukemia, parkinson disease and obesity to a greater extend compared to the rest of the pathophenotypes tested in this study. Gene Ontology (GO analysis highlighted the role of functional diversity for such diseases.

  18. An improved PCR-restriction fragment length polymorphism (RFLP) method for the identification of cry1-type genes.

    Science.gov (United States)

    Shu, Changlong; Liu, Dongming; Zhou, Zishan; Cai, Jilin; Peng, Qi; Gao, Jiguo; Song, Fuping; Zhang, Jie

    2013-11-01

    The cry1-type genes of Bacillus thuringiensis represent the largest cry gene family, which contains 50 distinct holotypes. It is becoming more and more difficult to identify cry1-type genes using current methods because of the increasing number of cry1-type genes. In the present study, an improved PCR-restriction fragment length polymorphism (PCR-RFLP) method which can distinguish 41 holotypes of cry1-type genes was developed. This improved method was used to identify cry1-type genes in 20 B. thuringiensis strains that are toxic to lepidoptera. The results showed that the improved method can efficiently identify single and clustered cry1-type genes and can be used to evaluate cry1-type genes in novel strain collections of B. thuringiensis. Among the detected cry1-type genes, we identified four novel genes, cry1Ai, cry1Bb, cry1Ja, and cry1La. The bioassay results from the expressed products of the four novel cry genes showed that Cry1Ai2, Cry1Bb2, and Cry1Ja2 were highly toxic against Plutella xylostella, whereas Cry1La2 exhibited no activity. Moreover, Cry1Ai2 had good lethal activity against Ostrinia furnacalis, Hyphantria cunea, Chilo suppressalis, and Bombyx mori larvae and considerable weight loss activity against Helicoverpa armigera.

  19. Using Experimental Methods to Investigate Discriminatory Tendencies: A Lesson Report

    Science.gov (United States)

    Chen, Yu-Wen; Masch, Lena; Finze, Kristin

    2014-01-01

    Using dictator games in experimental analysis, this lesson report demonstrates the process and results of a postgraduate class project in which university students were instructed to scientifically investigate and explore one of German society's most hotly-contested issues: the level of discriminatory tendencies of non-Muslims towards Muslims. The…

  20. Guidelines for Reporting Quantitative Methods and Results in Primary Research

    Science.gov (United States)

    Norris, John M.; Plonsky, Luke; Ross, Steven J.; Schoonen, Rob

    2015-01-01

    Adequate reporting of quantitative research about language learning involves careful consideration of the logic, rationale, and actions underlying both study designs and the ways in which data are analyzed. These guidelines, commissioned and vetted by the board of directors of "Language Learning," outline the basic expectations for…

  1. Guidelines for reporting quantitative methods and results in primary research

    NARCIS (Netherlands)

    Norris, J.M.; Plonsky, L.; Ross, S.J.; Schoonen, R.

    2015-01-01

    Adequate reporting of quantitative research about language learning involves careful consideration of the logic, rationale, and actions underlying both study designs and the ways in which data are analyzed. These guidelines, commissioned and vetted by the board of directors of Language Learning, out

  2. Guidelines for reporting quantitative methods and results in primary research

    NARCIS (Netherlands)

    Norris, J.M.; Plonsky, L.; Ross, S.J.; Schoonen, R.

    2015-01-01

    Adequate reporting of quantitative research about language learning involves careful consideration of the logic, rationale, and actions underlying both study designs and the ways in which data are analyzed. These guidelines, commissioned and vetted by the board of directors of Language Learning,

  3. Guidelines for Reporting Quantitative Methods and Results in Primary Research

    Science.gov (United States)

    Norris, John M.; Plonsky, Luke; Ross, Steven J.; Schoonen, Rob

    2015-01-01

    Adequate reporting of quantitative research about language learning involves careful consideration of the logic, rationale, and actions underlying both study designs and the ways in which data are analyzed. These guidelines, commissioned and vetted by the board of directors of "Language Learning," outline the basic expectations for…

  4. Phytoalexin detoxification genes and gene products: Implication for the evolution of host specific traits for pathogenicity. Final report

    Energy Technology Data Exchange (ETDEWEB)

    VanEtten, H.

    1997-06-01

    The overall objectives of this research were to determine which differences among PDA genes were associated with different levels of virulence on pea and to clone and characterize a MAK gene. The authors also proposed to characterize the pisatin detoxifying system in pea pathogens in addition to N. haematococca to assess whether pathogens of a common host had evolved similar pathogenicity genes.

  5. Phytoalexin detoxification genes and gene products: Implication for the evolution of host specific traits for pathogenicity. Final report

    Energy Technology Data Exchange (ETDEWEB)

    VanEtten, H.

    1997-06-01

    The overall objectives of this research were to determine which differences among PDA genes were associated with different levels of virulence on pea and to clone and characterize a MAK gene. The authors also proposed to characterize the pisatin detoxifying system in pea pathogens in addition to N. haematococca to assess whether pathogens of a common host had evolved similar pathogenicity genes.

  6. A Survey of Methods of Teaching Mathematics. Final Report.

    Science.gov (United States)

    Kovach, L. D.

    Several methods of teaching college-level mathematics sequences are examined for their advantages, disadvantages, and costs. Materials considered include textbooks, film sequences, videotaped lectures, and individualized teaching machines. (SD)

  7. Spectral methods applied to fluidized bed combustors. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Brown, R.C.; Christofides, N.J.; Junk, K.W.; Raines, T.S.; Thiede, T.D.

    1996-08-01

    The objective of this project was to develop methods for characterizing fuels and sorbents from time-series data obtained during transient operation of fluidized bed boilers. These methods aimed at determining time constants for devolatilization and char burnout using carbon dioxide (CO{sub 2}) profiles and from time constants for the calcination and sulfation processes using CO{sub 2} and sulfur dioxide (SO{sub 2}) profiles.

  8. Establishment of the methods for searching eukaryotic gene cis-regulatory modules.

    Science.gov (United States)

    Zhong, Dong; Zhang, Zhen-shu; Liu, Yu-hu; Zheng, Guo-qing; Liu, Xiao-yi; Lu, Yang; Zhao, Gui-jun; Xu, An-long

    2004-02-01

    On the basis of the knowledge of eukaryotic gene regulation, we modified the method in three aspects: (1) Searching the cis-regulatory modules (CRM) according Fasta or Blast sequence with multiple sequence and low E value, followed by mutual scoring of these sequence with Smith-Waterman algorithms and finally by clustering analysis; (2) Searching the transcription factor-binding site using International Union of Pure and Applied Chemistry, Position-Weight Matrix(PWM) and Dyed method; (3) Designing and implementation of data analysis based on the software in Windows 2000 and UNIX using object-oriented technology. The results of analysis of the major histocompatibility complex gene family show that this procedure may accurately locate the regions that contain some of the CRMs.

  9. An siRNA-based method for efficient silencing of gene expression in mature brown adipocytes.

    Science.gov (United States)

    Isidor, Marie S; Winther, Sally; Basse, Astrid L; Petersen, M Christine H; Cannon, Barbara; Nedergaard, Jan; Hansen, Jacob B

    2016-01-01

    Brown adipose tissue is a promising therapeutic target for opposing obesity, glucose intolerance and insulin resistance. The ability to modulate gene expression in mature brown adipocytes is important to understand brown adipocyte function and delineate novel regulatory mechanisms of non-shivering thermogenesis. The aim of this study was to optimize a lipofection-based small interfering RNA (siRNA) transfection protocol for efficient silencing of gene expression in mature brown adipocytes. We determined that a critical parameter was to deliver the siRNA to mature adipocytes by reverse transfection, i.e. transfection of non-adherent cells. Using this protocol, we effectively knocked down both high- and low-abundance transcripts in a model of mature brown adipocytes (WT-1) as well as in primary mature mouse brown adipocytes. A functional consequence of the knockdown was confirmed by an attenuated increase in uncoupled respiration (thermogenesis) in response to β-adrenergic stimulation of mature WT-1 brown adipocytes transfected with uncoupling protein 1 siRNA. Efficient gene silencing was also obtained in various mouse and human white adipocyte models (3T3-L1, primary mouse white adipocytes, hMADS) with the ability to undergo "browning." In summary, we report an easy and versatile reverse siRNA transfection protocol to achieve specific silencing of gene expression in various models of mature brown and browning-competent white adipocytes, including primary cells.

  10. Comparisons of power of statistical methods for gene-environment interaction analyses.

    Science.gov (United States)

    Ege, Markus J; Strachan, David P

    2013-10-01

    Any genome-wide analysis is hampered by reduced statistical power due to multiple comparisons. This is particularly true for interaction analyses, which have lower statistical power than analyses of associations. To assess gene-environment interactions in population settings we have recently proposed a statistical method based on a modified two-step approach, where first genetic loci are selected by their associations with disease and environment, respectively, and subsequently tested for interactions. We have simulated various data sets resembling real world scenarios and compared single-step and two-step approaches with respect to true positive rate (TPR) in 486 scenarios and (study-wide) false positive rate (FPR) in 252 scenarios. Our simulations confirmed that in all two-step methods the two steps are not correlated. In terms of TPR, two-step approaches combining information on gene-disease association and gene-environment association in the first step were superior to all other methods, while preserving a low FPR in over 250 million simulations under the null hypothesis. Our weighted modification yielded the highest power across various degrees of gene-environment association in the controls. An optimal threshold for step 1 depended on the interacting allele frequency and the disease prevalence. In all scenarios, the least powerful method was to proceed directly to an unbiased full interaction model, applying conventional genome-wide significance thresholds. This simulation study confirms the practical advantage of two-step approaches to interaction testing over more conventional one-step designs, at least in the context of dichotomous disease outcomes and other parameters that might apply in real-world settings.

  11. Selective Gene Expression Analysis of Muscular and Vascular Components in Hearts Using Laser Microdissection Method

    Directory of Open Access Journals (Sweden)

    Ayami Ikeda

    2012-01-01

    Full Text Available Background. The heart consists of various kinds of cell components. However, it has not been feasible to separately analyze the gene expression of individual components. The laser microdissection (LMD method, a new technology to collect target cells from the microscopic regions, has been used for malignancies. We sought to establish a method to selectively collect the muscular and vascular regions from the heart sections and to compare the marker gene expressions with this method. Methods and Results. Frozen left ventricle sections were obtained from Wistar-Kyoto rats (WKY and stroke-prone spontaneously hypertensive rats (SHR-SP at 24 weeks of age. Using the LMD method, the muscular and vascular regions were selectively collected under microscopic guidance. Real-time RT-PCR analysis showed that brain-type natriuretic peptide (BNP, a marker of cardiac myocytes, was expressed in the muscular samples, but not in the vascular samples, whereas α-smooth muscle actin, a marker of smooth muscle cells, was detected only in the vascular samples. Moreover, SHR-SP had significantly greater BNP upregulation than WKY (<0.05 in the muscular samples. Conclusions. The LMD method enabled us to separately collect the muscular and vascular samples from myocardial sections and to selectively evaluate mRNA expressions of the individual tissue component.

  12. ANMM4CBR: a case-based reasoning method for gene expression data classification.

    Science.gov (United States)

    Yao, Bangpeng; Li, Shao

    2010-01-06

    Accurate classification of microarray data is critical for successful clinical diagnosis and treatment. The "curse of dimensionality" problem and noise in the data, however, undermines the performance of many algorithms. In order to obtain a robust classifier, a novel Additive Nonparametric Margin Maximum for Case-Based Reasoning (ANMM4CBR) method is proposed in this article. ANMM4CBR employs a case-based reasoning (CBR) method for classification. CBR is a suitable paradigm for microarray analysis, where the rules that define the domain knowledge are difficult to obtain because usually only a small number of training samples are available. Moreover, in order to select the most informative genes, we propose to perform feature selection via additively optimizing a nonparametric margin maximum criterion, which is defined based on gene pre-selection and sample clustering. Our feature selection method is very robust to noise in the data. The effectiveness of our method is demonstrated on both simulated and real data sets. We show that the ANMM4CBR method performs better than some state-of-the-art methods such as support vector machine (SVM) and k nearest neighbor (kNN), especially when the data contains a high level of noise. The source code is attached as an additional file of this paper.

  13. How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different results

    Directory of Open Access Journals (Sweden)

    Voesenek Laurentius ACJ

    2006-03-01

    Full Text Available Abstract Background Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Microarray Analysis Suite or GeneChip Operating Software (MAS or GCOS from Affymetrix. Recently, more methods to analyse the raw data have become available. Ideally all these methods should come up with more or less the same results. We set out to evaluate the different methods and include work on our own data set, in order to test which method gives the most reliable results. Results Calculating gene expression with 6 different algorithms (MAS5, dChip PMMM, dChip PM, RMA, GC-RMA and PDNN using the same (Arabidopsis data, results in different calculated gene expression levels. Consequently, depending on the method used, different genes will be identified as differentially regulated. Surprisingly, there was only 27 to 36% overlap between the different methods. Furthermore, 47.5% of the genes/probe sets showed good correlation between the mismatch and perfect match intensities. Conclusion After comparing six algorithms, RMA gave the most reproducible results and showed the highest correlation coefficients with Real Time RT-PCR data on genes identified as differentially expressed by all methods. However, we were not able to verify, by Real Time RT-PCR, the microarray results for most genes that were solely calculated by RMA. Furthermore, we conclude that subtraction of the mismatch intensity from the perfect match intensity results most likely in a significant underestimation for at least 47.5% of the expression values. Not one algorithm produced significant expression values for genes present in quantities below 1 pmol. If the only purpose of the microarray experiment is to find new candidate genes, and too many genes are found, then mutual exclusion of the genes predicted by contrasting methods can be used to narrow down the list of new candidate genes by 64 to 73%.

  14. Methylene tetrahydrofolate reductase gene mutation together with anticardiolipin antibody during pregnancy: a case report

    Directory of Open Access Journals (Sweden)

    Egle Couto

    Full Text Available CONTEXT: High plasmatic homocysteine levels have been associated with arterial and venous thrombosis. The C677T methylene tetrahydrofolate reductase (MTHFR gene mutation is one of the known causes for high homocysteine levels in plasma. Anticardiolipin antibody (ACA is also associated with thrombosis and, along with other clinical complications such as recurrent abortion and stillbirth, is part of the antiphospholipid syndrome. DESIGN: Case report. CASE REPORT: A 19-year-old woman with two gestations and one parity (G2P1 had exhibited deep venous thrombosis in her previous puerperal period. Investigation of thrombophilic factors revealed ACA-IgM and heterozygous C677T mutation in the MTHFR gene. Lupus anticoagulant, protein C, protein S and antithrombin III deficiencies, and Leiden factor V and the G20210A mutation in the prothrombin gene, were not detected. The patient received 55,000 IU of subcutaneous heparin daily, from the 15th to the 36th week of pregnancy, when vaginal delivery took place. There were no clinical complications during the puerperal period and she was discharged three days after delivery, while still using oral anticoagulants.

  15. In vivo Monitoring of microRNA Biogenesis Using Reporter Gene Imaging

    OpenAIRE

    2013-01-01

    MicroRNAs are small noncoding RNAs regulating gene expression, through base paring with their target mRNAs, which have been actively investigated as key regulators in a wide range of biological processes. Conventional methods such as Northern blot are generally time-consuming, non-repeatable, and cannot be applied in vivo due to the requirement for cell fixation. Therefore, a noninvasive imaging system is required for the monitoring of microRNA biogenesis to understand the versatile functions...

  16. Gene-gene interactions of fatty acid synthase (FASN) using multifactor-dimensionality reduction method in Korean cattle.

    Science.gov (United States)

    Lee, Jeayoung; Jin, Mehyun; Lee, Yoonseok; Ha, Jaejung; Yeo, Jungsou; Oh, Dongyep

    2014-01-01

    We examined the gene-gene interactions of five exonic single nucleotide polymorphisms (SNPs) in the gene encoding fatty acid synthase using 513 Korean cattle and using the model free and the non-parametrical multifactor dimensionality reduction method for the analysis. The five SNPs of g.12870 T>C, g.13126 T>C, g.15532 C>A, g.16907 T>C and g.17924 G>A associated with a variety of fatty acid compositions and marbling score were used in this study. The two-factor interaction between g.13126 T>C and g.15532 C>A had the highest training-balanced among the five-factor models and a testing-balanced accuracy at 70.18 % on C18:1 with a cross-validation consistency of 10 out of 10. Also, the two-factor interaction between g.13126 T>C and g.15532 C>A had the highest testing-balanced accuracy at 68.59 % with a 10 out of 10 cross-validation consistency, than any other models on MUFA. In MS, a single SNP g.15532 C>A had the best accuracy at 58.85 % and the two-factor interaction model g.12870 T>C and g.15532 C>A had the highest testing-balanced accuracy at 64.00 %. The three-factor interaction model g.12870 T>C, g.13126 T>C and g.15532 C>A was recorded as having a high testing-balanced accuracy of 63.24 %, but it was lower than the two-factor interaction model. We used likelihood ratio tests for interaction, and Chi square tests to validate our results, with all tests showing statistical significance. We also compared this with mean scores between the high-risk trait group and low-risk trait group. The genotypes of TTCA, TTAA and TCAA at g.15532 and g.13126 on C18:1, genotypes TTCC, TTCA, TTAA, TCAA CCAA at g.15532 and g.13126 on MUFA and genotypes CCCC, TCCA, CCCA, TTAA, TCAA and CCAA at g.15532 and g.12870 on MS were recommended for the genetic improvement of beef quality.

  17. Validating tyrosinase homologue melA as a photoacoustic reporter gene for imaging Escherichia coli

    Science.gov (United States)

    Paproski, Robert J.; Li, Yan; Barber, Quinn; Lewis, John D.; Campbell, Robert E.; Zemp, Roger

    2015-10-01

    To understand the pathogenic processes for infectious bacteria, appropriate research tools are required for replicating and characterizing infections. Fluorescence and bioluminescence imaging have primarily been used to image infections in animal models, but optical scattering in tissue significantly limits imaging depth and resolution. Photoacoustic imaging, which has improved depth-to-resolution ratio compared to conventional optical imaging, could be useful for visualizing melA-expressing bacteria since melA is a bacterial tyrosinase homologue which produces melanin. Escherichia coli-expressing melA was visibly dark in liquid culture. When melA-expressing bacteria in tubes were imaged with a VisualSonics Vevo LAZR system, the signal-to-noise ratio of a 9× dilution sample was 55, suggesting that ˜20 bacteria cells could be detected with our system. Multispectral (680, 700, 750, 800, 850, and 900 nm) analysis of the photoacoustic signal allowed unmixing of melA-expressing bacteria from blood. To compare photoacoustic reporter gene melA (using Vevo system) with luminescent and fluorescent reporter gene Nano-lantern (using Bruker Xtreme In-Vivo system), tubes of bacteria expressing melA or Nano-lantern were submerged 10 mm in 1% Intralipid, spaced between bioluminescence and fluorescence imaging could not resolve the two tubes of Nano-lantern-expressing bacteria even when the tubes were spaced 10 mm from each other. After injecting 100-μL of melA-expressing bacteria in the back flank of a chicken embryo, photoacoustic imaging allowed visualization of melA-expressing bacteria up to 10-mm deep into the embryo. Photoacoustic signal from melA could also be separated from deoxy- and oxy-hemoglobin signal observed within the embryo and chorioallantoic membrane. Our results suggest that melA is a useful photoacoustic reporter gene for visualizing bacteria, and further work incorporating photoacoustic reporters into infectious bacterial strains is warranted.

  18. Final Report: Symposium on Adaptive Methods for Partial Differential Equations

    Energy Technology Data Exchange (ETDEWEB)

    Pernice, Michael; Johnson, Christopher R.; Smith, Philip J.; Fogelson, Aaron

    1998-12-08

    Complex physical phenomena often include features that span a wide range of spatial and temporal scales. Accurate simulation of such phenomena can be difficult to obtain, and computations that are under-resolved can even exhibit spurious features. While it is possible to resolve small scale features by increasing the number of grid points, global grid refinement can quickly lead to problems that are intractable, even on the largest available computing facilities. These constraints are particularly severe for three dimensional problems that involve complex physics. One way to achieve the needed resolution is to refine the computational mesh locally, in only those regions where enhanced resolution is required. Adaptive solution methods concentrate computational effort in regions where it is most needed. These methods have been successfully applied to a wide variety of problems in computational science and engineering. Adaptive methods can be difficult to implement, prompting the development of tools and environments to facilitate their use. To ensure that the results of their efforts are useful, algorithm and tool developers must maintain close communication with application specialists. Conversely it remains difficult for application specialists who are unfamiliar with the methods to evaluate the trade-offs between the benefits of enhanced local resolution and the effort needed to implement an adaptive solution method.

  19. Identifying essential genes in bacterial metabolic networks with machine learning methods

    Directory of Open Access Journals (Sweden)

    Eils Roland

    2010-05-01

    Full Text Available Abstract Background Identifying essential genes in bacteria supports to identify potential drug targets and an understanding of minimal requirements for a synthetic cell. However, experimentally assaying the essentiality of their coding genes is resource intensive and not feasible for all bacterial organisms, in particular if they are infective. Results We developed a machine learning technique to identify essential genes using the experimental data of genome-wide knock-out screens from one bacterial organism to infer essential genes of another related bacterial organism. We used a broad variety of topological features, sequence characteristics and co-expression properties potentially associated with essentiality, such as flux deviations, centrality, codon frequencies of the sequences, co-regulation and phyletic retention. An organism-wise cross-validation on bacterial species yielded reliable results with good accuracies (area under the receiver-operator-curve of 75% - 81%. Finally, it was applied to drug target predictions for Salmonella typhimurium. We compared our predictions to the viability of experimental knock-outs of S. typhimurium and identified 35 enzymes, which are highly relevant to be considered as potential drug targets. Specifically, we detected promising drug targets in the non-mevalonate pathway. Conclusions Using elaborated features characterizing network topology, sequence information and microarray data enables to predict essential genes from a bacterial reference organism to a related query organism without any knowledge about the essentiality of genes of the query organism. In general, such a method is beneficial for inferring drug targets when experimental data about genome-wide knockout screens is not available for the investigated organism.

  20. Identification of imprinted genes using a novel screening method based on asynchronous DNA replication

    Energy Technology Data Exchange (ETDEWEB)

    Kawame, H.; Hansen, R.S.; Gartler, S.M. [Univ. of Washington, Seattle, WA (United States)

    1994-09-01

    Genomic imprinting refers to the process of epigenetic change that occurs during germ cell development that results in either maternal- or paternal-specific gene expression. Identification of imprinted genes is of primary importance to the understanding of imprinting mechanisms and the role of specific imprinted genes in human disease. Recently, it has been established that chromosomal regions known to contain imprinted genes replicate asynchronously. We propose a novel screening method to identify imprinted genes based on replication asynchrony as a marker for imprinted domains. Dividing human cells were pulse-labeled with BrdU and separated into different fractions of S-phase by flow cytometry. A library of late-replicating inter-Alu sequences should be enriched in gene-associated sequences that replicate early on one chromosome and late on the other homologue. Clones were analyzed for replication timing by hybridization to inter-Alu replication profiles. Candidates for replication asynchrony exhibited broad or biphasic replication timing, and these were analyzed for chromosomal location by hybridizations to inter-Alu products from a hybrid mapping panel. Initial screening of 123 clones resulted in 3 asynchronously-replicating clones that localized to single chromosomes. Chromosome 17 and chromosome 19 candidates might be located in regions thought to be imprinted by synteny with mouse chromosomes. A chromosome 15 clone was further characterized because of its possible localization to the Prader-Willi/Angelman locus. This sequence was localized outside the region deleted in Prader-Willi patients, and was found to be expressed in human cell lines. Replication asynchrony for this sequence appears to be polymorphic because cells derived from some individuals indicated synchronous replication. This appears to be the first example of a polymorphism in replication asynchrony.

  1. Highly efficient method for gene delivery in mouse dorsal root ganglia neurons

    Directory of Open Access Journals (Sweden)

    Lingli eYu

    2015-02-01

    Full Text Available The development of gene transfection technologies has greatly advanced our understanding of life sciences. While use of viral vectors has clear efficacy, it requires specific expertise and biological containment conditions. Electroporation has become an effective and commonly used method for introducing DNA into neurons and in intact brain tissue. The present study describes the use of the Neon® electroporation system to transfect genes into dorsal root ganglia neurons isolated from embryonic mouse Day 13.5 to 16. This cell type has been particularly recalcitrant and refractory to physical or chemical methods for introduction of DNA. By optimizing the culture condition and parameters including voltage and duration for this specific electroporation system, high efficiency (60 – 80% and low toxicity (> 60% survival were achieved with robust differentiation in response to Nerve growth factor (NGF. Moreover, 3-50 times fewer cells are needed (6x104 compared with other traditional electroporation methods. This approach underlines the efficacy of this type of electroporation, particularly when only limited amount of cells can be obtained, and is expected to greatly facilitate the study of gene function in dorsal root ganglia neuron cultures.

  2. Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

    Science.gov (United States)

    Alshamlan, Hala M; Badr, Ghada H; Alohali, Yousef A

    2015-06-01

    Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selection and classification problems. Artificial Bee Colony (ABC) is a relatively new swarm intelligence method. In this paper, we propose a new hybrid gene selection method, namely Genetic Bee Colony (GBC) algorithm. The proposed algorithm combines the used of a Genetic Algorithm (GA) along with Artificial Bee Colony (ABC) algorithm. The goal is to integrate the advantages of both algorithms. The proposed algorithm is applied to a microarray gene expression profile in order to select the most predictive and informative genes for cancer classification. In order to test the accuracy performance of the proposed algorithm, extensive experiments were conducted. Three binary microarray datasets are use, which include: colon, leukemia, and lung. In addition, another three multi-class microarray datasets are used, which are: SRBCT, lymphoma, and leukemia. Results of the GBC algorithm are compared with our recently proposed technique: mRMR when combined with the Artificial Bee Colony algorithm (mRMR-ABC). We also compared the combination of mRMR with GA (mRMR-GA) and Particle Swarm Optimization (mRMR-PSO) algorithms. In addition, we compared the GBC algorithm with other related algorithms that have been recently published in the literature, using all benchmark datasets. The GBC algorithm shows superior performance as it achieved the highest classification accuracy along with the lowest average number of selected genes. This proves that the GBC algorithm is a promising approach for solving the gene selection problem in both binary and multi-class cancer classification.

  3. The first report of the vanC₁ gene in Enterococcus faecium isolated from a human clinical specimen.

    Science.gov (United States)

    Sun, Mingyue; Wang, Yue; Chen, Zhongju; Zhu, Xuhui; Tian, Lei; Sun, Ziyong

    2014-09-01

    The vanC₁ gene, which is chromosomally located, confers resistance to vancomycin and serves as a species marker for Enterococcus gallinarum. Enterococcus faecium TJ4031 was isolated from a blood culture and harbours the vanC₁gene. Polymerase chain reaction (PCR) assays were performed to detect vanXYc and vanTc genes. Only the vanXYc gene was found in the E. faecium TJ4031 isolate. The minimum inhibitory concentrations of vancomycin and teicoplanin were 2 µg/mL and 1 µg/mL, respectively. Real-time reverse transcription-PCR results revealed that the vanC₁ and vanXYc genes were not expressed. Pulsed-field gel electrophoresis and southern hybridisation results showed that the vanC₁ gene was encoded in the chromosome. E. faecalis isolated from animals has been reported to harbour vanC₁gene. However, this study is the first to report the presence of the vanC₁gene in E. faecium of human origin. Additionally, our research showed the vanC₁gene cannot serve as a species-specific gene of E. gallinarum and that it is able to be transferred between bacteria. Although the resistance marker is not expressed in the strain, our results showed that E. faecium could acquire the vanC₁gene from different species.

  4. A cross-sectional study of self-reported chemical-related sensitivity is associated with gene variants of drug-metabolizing enzymes

    Directory of Open Access Journals (Sweden)

    Fabig Nathalie

    2007-02-01

    Full Text Available Abstract Background N-acetyltransferases (NAT and glutathione S-transferases (GST are involved in the metabolism of several ubiquitous chemical substances leading to the activation and detoxification of carcinogenic heterocyclic and aromatic amines. Since polymorphisms within these genes are described to influence the metabolism of ubiquitous chemicals, we conducted the present study to determine if individuals with self-reported chemical-related sensitivity differed from controls without self-reported chemical-related sensitivity with regard to the distribution of genotype frequencies of NAT2, GSTM1, GSTT1, and GSTP1 polymorphisms. Methods Out of 800 subjects who answered a questionnaire of ten items with regard to their severity of chemical sensitivity 521 unrelated individuals agreed to participate in the study. Subsequently, genetic variants of the NAT2, GSTM1, GSTT1, and GSTP1 genes were analyzed. Results The results show significant differences between individuals with and without self-reported chemical-related sensitivity with regard to the distribution of NAT2, GSTM1, and GSTT1 gene variants. Cases with self-reported chemical-related sensitivity were significantly more frequently NAT2 slow acetylators (controlled OR = 1.81, 95% CI = 1.27–2.59, P = 0.001. GSTM1 and GSTT1 genes were significantly more often homozygously deleted in those individuals reporting sensitivity to chemicals compared to controls (GSTM1: controlled OR 2.08, 95% CI = 1.46–2.96, P = 0.0001; GSTT1: controlled OR = 2.80, 95% CI = 1.65–4.75, P = 0.0001. Effects for GSTP1 gene variants were observed in conjunction with GSTM1, GSTT1 and NAT2 gene. Conclusion The results from our study population show that individuals being slow acetylators and/or harbouring a homozygous GSTM1 and/or GSTT1 deletion reported chemical-related hypersensitivity more frequently.

  5. MUTATIONS IN CORNEAL CARBOHYDRATE SULFOTRANSFERASE 6 GENE (CHST6 IN IRANIAN MACULAR CORNEAL DYSTROPHY (MCD PATIENTS: A REPORT OF 7 PATIENTS FROM IRAN

    Directory of Open Access Journals (Sweden)

    HOUSHMAND Massoud MD

    2010-09-01

    Full Text Available AbstractObjectiveMacular Corneal Dystrophy (MCD is a rare autosomal recessive disorder affecting the stroma of cornea. Most cases of MCD are caused by mutations in CHST6 gene. The aim of this study was to determine mutations in the carbohydrate sulfotransferase 6 gene (CHST6 through genetic analysis of 7 Iranian patients with MCD.Materials & MethodsWe screened the CHST6 gene to determine the range of pathogenic mutations. Genomic DNA was extracted from peripheral blood leukocytes. The coding regions of the CHST6 gene were amplified using three pairs of primers, and directly sequenced in the final step.ResultsFour mutations were found to affect the translated protein and each of them corresponded to a particular disease haplotype that has been previously reported

  6. Application of Gaussian moment method to a gene autoregulation model of rational vector field

    Science.gov (United States)

    Kang, Yan-Mei; Chen, Xi

    2016-07-01

    We take a lambda expression autoregulation model driven by multiplicative and additive noises as example to extend the Gaussian moment method from nonlinear stochastic systems of polynomial vector field to noisy biochemical systems of rational polynomial vector field. As a direct application of the extended method, we also disclose the phenomenon of stochastic resonance. It is found that the transcription rate can inhibit the stochastic resonant effect, but the degradation rate may enhance the phenomenon. These observations should be helpful in understanding the functional role of noise in gene autoregulation.

  7. The Spalding Method[R]. What Works Clearinghouse Intervention Report

    Science.gov (United States)

    What Works Clearinghouse, 2012

    2012-01-01

    The "Spalding Method"[R] is a language arts program for grades K-6 that uses explicit, integrated instruction and multisensory techniques to teach spelling, writing, and reading. The program and its textbook, The "Writing Road to Reading," provide 32 weeks of lesson plans. Students work on program materials in spelling, writing, and reading for…

  8. A novel mutual information-based Boolean network inference method from time-series gene expression data

    Science.gov (United States)

    Barman, Shohag; Kwon, Yung-Keun

    2017-01-01

    Background Inferring a gene regulatory network from time-series gene expression data in systems biology is a challenging problem. Many methods have been suggested, most of which have a scalability limitation due to the combinatorial cost of searching a regulatory set of genes. In addition, they have focused on the accurate inference of a network structure only. Therefore, there is a pressing need to develop a network inference method to search regulatory genes efficiently and to predict the network dynamics accurately. Results In this study, we employed a Boolean network model with a restricted update rule scheme to capture coarse-grained dynamics, and propose a novel mutual information-based Boolean network inference (MIBNI) method. Given time-series gene expression data as an input, the method first identifies a set of initial regulatory genes using mutual information-based feature selection, and then improves the dynamics prediction accuracy by iteratively swapping a pair of genes between sets of the selected regulatory genes and the other genes. Through extensive simulations with artificial datasets, MIBNI showed consistently better performance than six well-known existing methods, REVEAL, Best-Fit, RelNet, CST, CLR, and BIBN in terms of both structural and dynamics prediction accuracy. We further tested the proposed method with two real gene expression datasets for an Escherichia coli gene regulatory network and a fission yeast cell cycle network, and also observed better results using MIBNI compared to the six other methods. Conclusions Taken together, MIBNI is a promising tool for predicting both the structure and the dynamics of a gene regulatory network. PMID:28178334

  9. An Efficient Method for Identifying Gene Fusions by Targeted RNA Sequencing from Fresh Frozen and FFPE Samples.

    Directory of Open Access Journals (Sweden)

    Jonathan A Scolnick

    Full Text Available Fusion genes are known to be key drivers of tumor growth in several types of cancer. Traditionally, detecting fusion genes has been a difficult task based on fluorescent in situ hybridization to detect chromosomal abnormalities. More recently, RNA sequencing has enabled an increased pace of fusion gene identification. However, RNA-Seq is inefficient for the identification of fusion genes due to the high number of sequencing reads needed to detect the small number of fusion transcripts present in cells of interest. Here we describe a method, Single Primer Enrichment Technology (SPET, for targeted RNA sequencing that is customizable to any target genes, is simple to use, and efficiently detects gene fusions. Using SPET to target 5701 exons of 401 known cancer fusion genes for sequencing, we were able to identify known and previously unreported gene fusions from both fresh-frozen and formalin-fixed paraffin-embedded (FFPE tissue RNA in both normal tissue and cancer cells.

  10. An Efficient Method for Identifying Gene Fusions by Targeted RNA Sequencing from Fresh Frozen and FFPE Samples.

    Science.gov (United States)

    Scolnick, Jonathan A; Dimon, Michelle; Wang, I-Ching; Huelga, Stephanie C; Amorese, Douglas A

    2015-01-01

    Fusion genes are known to be key drivers of tumor growth in several types of cancer. Traditionally, detecting fusion genes has been a difficult task based on fluorescent in situ hybridization to detect chromosomal abnormalities. More recently, RNA sequencing has enabled an increased pace of fusion gene identification. However, RNA-Seq is inefficient for the identification of fusion genes due to the high number of sequencing reads needed to detect the small number of fusion transcripts present in cells of interest. Here we describe a method, Single Primer Enrichment Technology (SPET), for targeted RNA sequencing that is customizable to any target genes, is simple to use, and efficiently detects gene fusions. Using SPET to target 5701 exons of 401 known cancer fusion genes for sequencing, we were able to identify known and previously unreported gene fusions from both fresh-frozen and formalin-fixed paraffin-embedded (FFPE) tissue RNA in both normal tissue and cancer cells.

  11. Gene doctoring: a method for recombineering in laboratory and pathogenic Escherichia coli strains

    Directory of Open Access Journals (Sweden)

    Penn Charles W

    2009-12-01

    Full Text Available Abstract Background Homologous recombination mediated by the λ-Red genes is a common method for making chromosomal modifications in Escherichia coli. Several protocols have been developed that differ in the mechanisms by which DNA, carrying regions homologous to the chromosome, are delivered into the cell. A common technique is to electroporate linear DNA fragments into cells. Alternatively, DNA fragments are generated in vivo by digestion of a donor plasmid with a nuclease that does not cleave the host genome. In both cases the λ-Red gene products recombine homologous regions carried on the linear DNA fragments with the chromosome. We have successfully used both techniques to generate chromosomal mutations in E. coli K-12 strains. However, we have had limited success with these λ-Red based recombination techniques in pathogenic E. coli strains, which has led us to develop an enhanced protocol for recombineering in such strains. Results Our goal was to develop a high-throughput recombineering system, primarily for the coupling of genes to epitope tags, which could also be used for deletion of genes in both pathogenic and K-12 E. coli strains. To that end we have designed a series of donor plasmids for use with the λ-Red recombination system, which when cleaved in vivo by the I-SceI meganuclease generate a discrete linear DNA fragment, allowing for C-terminal tagging of chromosomal genes with a 6 × His, 3 × FLAG, 4 × ProteinA or GFP tag or for the deletion of chromosomal regions. We have enhanced existing protocols and technologies by inclusion of a cassette conferring kanamycin resistance and, crucially, by including the sacB gene on the donor plasmid, so that all but true recombinants are counter-selected on kanamycin and sucrose containing media, thus eliminating the need for extensive screening. This method has the added advantage of limiting the exposure of cells to the potential damaging effects of the λ-Red system, which can lead

  12. First report of multiresistance gene cfr in Enterococcus species casseliflavus and gallinarum of swine origin.

    Science.gov (United States)

    Liu, Yang; Wang, Yang; Dai, Lei; Wu, Congming; Shen, Jianzhong

    2014-06-01

    The aim of this study was to investigate the presence and genetic environment of the multiresistance gene cfr in Enterococcus species of swine origin. Twenty-five cfr-carrying Enterococcus isolates were collected from swine in Beijing, Guangzhou, and Shandong, China. The isolates consist of 24 Enterococcus casseliflavus and one Enterococcus gallinarum isolate, and exhibited six SmaI PFGE patterns. The cfr gene was located on plasmids in all isolates except E. casseliflavus En83, in which cfr was located on the chromosomal DNA. The cfr gene environments in most of these isolates contain DNA sequences similar to pEF-01, which was first found in Enterococcus. However, inverse PCR analysis suggested that the cfr-carrying circular forms might be different from pEF-01. The circular forms in Eg51 and its transconjugant, and En23, En10, and En94 are similar to the circular form in pEF-01, except for the truncated IS1216, which is replaced by a transposase of the IS256 family in En24. The cfr circular form could not be detected in either En77 or En83, and the same cfr-carrying segments of ∼ 10 kb had only 3500bp of sequence similar to pEF-01. This is the first report of cfr gene in E. casseliflavus and E. gallinarum. The potential dissemination of the multidrug resistance gene amongst different bacterial species, especially in enterococci of human and animal origins, is concerning and should be closely monitored.

  13. Gene Deletion by Fluorescence-Reported Allelic Exchange Mutagenesis in Chlamydia trachomatis

    Directory of Open Access Journals (Sweden)

    Konrad E. Mueller

    2016-01-01

    Full Text Available Although progress in Chlamydia genetics has been rapid, genomic modification has previously been limited to point mutations and group II intron insertions which truncate protein products. The bacterium has thus far been intractable to gene deletion or more-complex genomic integrations such as allelic exchange. Herein, we present a novel suicide vector dependent on inducible expression of a chlamydial gene that renders Chlamydia trachomatis fully genetically tractable and permits rapid reverse genetics by fluorescence-reported allelic exchange mutagenesis (FRAEM. We describe the first available system of targeting chlamydial genes for deletion or allelic exchange as well as curing plasmids from C. trachomatis serovar L2. Furthermore, this approach permits the monitoring of mutagenesis by fluorescence microscopy without disturbing bacterial growth, a significant asset when manipulating obligate intracellular organisms. As proof of principle, trpA was successfully deleted and replaced with a sequence encoding both green fluorescent protein (GFP and β-lactamase. The trpA-deficient strain was unable to grow in indole-containing medium, and this phenotype was reversed by complementation with trpA expressed in trans. To assess reproducibility at alternate sites, FRAEM was repeated for genes encoding type III secretion effectors CTL0063, CTL0064, and CTL0065. In all four cases, stable mutants were recovered one passage after the observation of transformants, and allelic exchange was limited to the specific target gene, as confirmed by whole-genome sequencing. Deleted sequences were not detected by quantitative real-time PCR (qPCR from isogenic mutant populations. We demonstrate that utilization of the chlamydial suicide vector with FRAEM renders C. trachomatis highly amenable to versatile and efficient genetic manipulation.

  14. Methods for interpreting lists of affected genes obtained in a DNA microarray experiment

    Directory of Open Access Journals (Sweden)

    Hedegaard Jakob

    2009-07-01

    Full Text Available Abstract Background The aim of this paper was to describe and compare the methods used and the results obtained by the participants in a joint EADGENE (European Animal Disease Genomic Network of Excellence and SABRE (Cutting Edge Genomics for Sustainable Animal Breeding workshop focusing on post analysis of microarray data. The participating groups were provided with identical lists of microarray probes, including test statistics for three different contrasts, and the normalised log-ratios for each array, to be used as the starting point for interpreting the affected probes. The data originated from a microarray experiment conducted to study the host reactions in broilers occurring shortly after a secondary challenge with either a homologous or heterologous species of Eimeria. Results Several conceptually different analytical approaches, using both commercial and public available software, were applied by the participating groups. The following tools were used: Ingenuity Pathway Analysis, MAPPFinder, LIMMA, GOstats, GOEAST, GOTM, Globaltest, TopGO, ArrayUnlock, Pathway Studio, GIST and AnnotationDbi. The main focus of the approaches was to utilise the relation between probes/genes and their gene ontology and pathways to interpret the affected probes/genes. The lack of a well-annotated chicken genome did though limit the possibilities to fully explore the tools. The main results from these analyses showed that the biological interpretation is highly dependent on the statistical method used but that some common biological conclusions could be reached. Conclusion It is highly recommended to test different analytical methods on the same data set and compare the results to obtain a reliable biological interpretation of the affected genes in a DNA microarray experiment.

  15. Using Experimental Methods to Investigate Discriminatory Tendencies: A Lesson Report

    Directory of Open Access Journals (Sweden)

    Yu-Wen Chen

    2013-08-01

    Full Text Available Using dictator games in experimental analysis, this lesson report demonstrates the process and results of a postgraduate class project in which university students were instructed to scientifically investigate and explore one of German society’s most hotly-contested issues: the level of discriminatory tendencies of non-Muslims towards Muslims. The results of this class project show little or no discriminatory tendencies toward Muslims. Instead, the university students under our investigation tended to act favorably, or at the very least, fairly toward Muslims. We expect that this lesson report can demonstrate how a postgraduate course can be conducted in an innovative way, empowering students to collect primary data and finishing a small scientific project during the span of a semester. Dieser Bericht stellt die Prozesse und Ergebnisse einer experimentellen Studie eines Postgraduierten-Kurses der Universität Greifswald dar. Wir zeigen, wie Studierende das Thema Migration innovativ untersuchen können, indem sie neben theoretischen Lerninhalten an experimentelle Methoden sowie die Primärforschung herangeführt werden. Anhand eines Diktatorspiels wurden die teilnehmenden Studenten angeleitet, ein in der Öffentlichkeit kontrovers debattiertes Thema wissenschaftlich zu untersuchen: Diskriminierende Tendenzen von Nicht-Muslimen gegenüber Muslimen. Die Ergebnisse dieser Studie lassen jedoch nicht auf diskriminierende Tendenzen der Studenten schließen. Stattdessen deuten sie darauf hin, dass sich die Studierenden zumindest fair gegenüber Muslimen verhalten.

  16. User-centered design of multi-gene sequencing panel reports for clinicians.

    Science.gov (United States)

    Cutting, Elizabeth; Banchero, Meghan; Beitelshees, Amber L; Cimino, James J; Fiol, Guilherme Del; Gurses, Ayse P; Hoffman, Mark A; Jeng, Linda Jo Bone; Kawamoto, Kensaku; Kelemen, Mark; Pincus, Harold Alan; Shuldiner, Alan R; Williams, Marc S; Pollin, Toni I; Overby, Casey Lynnette

    2016-10-01

    The objective of this study was to develop a high-fidelity prototype for delivering multi-gene sequencing panel (GS) reports to clinicians that simulates the user experience of a final application. The delivery and use of GS reports can occur within complex and high-paced healthcare environments. We employ a user-centered software design approach in a focus group setting in order to facilitate gathering rich contextual information from a diverse group of stakeholders potentially impacted by the delivery of GS reports relevant to two precision medicine programs at the University of Maryland Medical Center. Responses from focus group sessions were transcribed, coded and analyzed by two team members. Notification mechanisms and information resources preferred by participants from our first phase of focus groups were incorporated into scenarios and the design of a software prototype for delivering GS reports. The goal of our second phase of focus group, to gain input on the prototype software design, was accomplished through conducting task walkthroughs with GS reporting scenarios. Preferences for notification, content and consultation from genetics specialists appeared to depend upon familiarity with scenarios for ordering and delivering GS reports. Despite familiarity with some aspects of the scenarios we proposed, many of our participants agreed that they would likely seek consultation from a genetics specialist after viewing the test reports. In addition, participants offered design and content recommendations. Findings illustrated a need to support customized notification approaches, user-specific information, and access to genetics specialists with GS reports. These design principles can be incorporated into software applications that deliver GS reports. Our user-centered approach to conduct this assessment and the specific input we received from clinicians may also be relevant to others working on similar projects.

  17. Manufacturing Methods & Technology Project Execution Report. Second Half CY 1980

    Science.gov (United States)

    1981-03-01

    U.S. ARMY MATER-IEL DEVELOP AND READINESS COMMAND Lu ti MAANUFACTURING METHODS & 0 ~ ECHNOLOGY ELECTE, hAY 4 19 81 PROJECT EXECUTION REPORTautw w...Armament Materiel Readiness Command (Ammunition) . ... 83 Armament R&D Cormtand Armament Materiel Readiness Command (Weapons) .. . . . 105 Mobility ... MOBILIZATION PRODUCTION RATES ARE ESTIMATED TO BE S1t6 6000 PER YEAR. 5 78 4288 EXPLOSIVE SAFE SEPARATION AND SENSITIVITY CRITERIA ZERO PALLET SPACING

  18. Data sources and methods for industrial energy analysis. Final report

    Energy Technology Data Exchange (ETDEWEB)

    None

    1979-08-01

    Following an introductory and overview section of industrial energy-use patterns, Section II of this report describes a number of the major industrial-energy-use data bases often used to analyze industrial energy use. Section III gives the results of an analysis which used a number of energy and industrial-location data bases to estimate plant-specific energy use in ten of the largest energy-using industries. The section summarizes the results of the analysis and discusses the implications of the energy use per plant distributions for the industrial market for high- and low-Btu coal gasification and coal liquefaction. Section IV outlines a methodology for segmenting the industrial energy market and evaluating the competitiveness of low- and medium-Btu gas relative to other alternatives. The methodology demonstrates the uses of the industrial energy data bases in performing market penetration analysis.

  19. Advanced hydrogen/method utilization technology demonstration. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Lynch, F.; Fulton, J. [Hydrogen Consultants, Inc., Littleton, CO (United States)

    1994-04-01

    The overall objective of the work was to seek homogeneous blend ratios of hydrogen:methane that provide ``leverage`` with respect to exhaust emissions or engine performance. The leverage sought was a reduction in exhaust emissions or improved efficiency in proportions greater than the percentage of hydrogen energy in the blended fuel gas mixture. The scope of the study included the range of air/fuel mixtures from the lean limit to slightly richer than stoichiometric. This encompasses two important modes of engine operation for emissions control; lean burn pre-catalyst (some natural gas engines have no catalyst) and post-catalyst; and stoichiometric with three-way catalyst. The report includes a brief discussion of each of these modes.

  20. An Arabidopsis tissue-specific RNAi method for studying genes essential to mitosis.

    Directory of Open Access Journals (Sweden)

    Brunilís Burgos-Rivera

    Full Text Available A large fraction of the genes in plants can be considered essential in the sense that when absent the plant fails to develop past the first few cell divisions. The fact that angiosperms pass through a haploid gametophyte stage can make it challenging to propagate such mutants even in the heterozygous condition. Here we describe a tissue-specific RNAi method that allows us to visualize cell division phenotypes in petals, which are large dispensable organs. Portions of the APETALA (AP3 and PISTILLATA (PI promoters confer early petal-specific expression. We show that when either promoter is used to drive the expression of a beta-glucuronidase (GUS RNAi transgene in plants uniformly expressing GUS, GUS expression is knocked down specifically in petals. We further tested the system by targeting the essential kinetochore protein CENPC and two different components of the Spindle Assembly Checkpoint (MAD2 and BUBR1. Plant lines expressing petal-specific RNAi hairpins targeting these genes exhibited an array of petal phenotypes. Cytological analyses of the affected flower buds confirmed that CENPC knockdown causes cell cycle arrest but provided no evidence that either MAD2 or BUBR1 are required for mitosis (although both genes are required for petal growth by this assay. A key benefit of the petal-specific RNAi method is that the phenotypes are not expressed in the lineages leading to germ cells, and the phenotypes are faithfully transmitted for at least four generations despite their pronounced effects on growth.

  1. Comparison of in vivo and in vitro reporter gene assays for short-term screening of estrogenic activity

    NARCIS (Netherlands)

    Legler, J.; Zeinstra, L.M.; Schuitemaker, F.; Lanser, P.H.; Bogerd, J.; Brouwer, A.; Vethaak, A.D.; Voogt, de P.; Murk, A.J.; Burg, van der B.

    2002-01-01

    Functional in vitro and in vivo reporter gene assays have recently been developed for the rapid determination of exposure to (xeno)estrogens. The in vitro estrogen receptor (ER)-mediated chemically activated luciferase gene expression (ER-CALUX) assay uses T47D human breast cancer cells stably trans

  2. Prediction of optimal gene functions for osteosarcoma using network-based- guilt by association method based on gene oncology and microarray profile.

    Science.gov (United States)

    Chen, Xinrang

    2017-06-01

    In the current study, we planned to predict the optimal gene functions for osteosarcoma (OS) by integrating network-based method with guilt by association (GBA) principle (called as network-based gene function inference approach) based on gene oncology (GO) data and gene expression profile. To begin with, differentially expressed genes (DEGs) were extracted using linear models for microarray data (LIMMA) package. Then, construction of differential co-expression network (DCN) relying on DEGs was implemented, and sub-DCN was identified using Spearman correlation coefficient (SCC). Subsequently, GO annotations for OS were collected according to known confirmed database and DEGs. Ultimately, gene functions were predicted by means of GBA principle based on the area under the curve (AUC) for GO terms, and we determined GO terms with AUC >0.7 as the optimal gene functions for OS. Totally, 123 DEGs and 137 GO terms were obtained for further analysis. A DCN was constructed, which included 123 DEGs and 7503 interactions. A total of 105 GO terms were identified when the threshold was set as AUC >0.5, which had a good classification performance. Among these 105 GO terms, 2 functions had the AUC >0.7 and were determined as the optimal gene functions including angiogenesis (AUC =0.767) and regulation of immune system process (AUC =0.710). These gene functions appear to have potential for early detection and clinical treatment of OS in the future.

  3. Evolution of Self-Reporting Methods for Identifying Discrete Emotions in Science Classrooms

    Science.gov (United States)

    Ritchie, Stephen M.; Hudson, Peter; Bellocchi, Alberto; Henderson, Senka; King, Donna; Tobin, Kenneth

    2016-01-01

    Emotion researchers have grappled with challenging methodological issues in capturing emotions of participants in naturalistic settings such as school or university classrooms. Self-reporting methods have been used frequently, yet these methods are inadequate when used alone. We argue that the self-reporting methods of emotion diaries and…

  4. 7 CFR 1780.47 - Borrower accounting methods, management reporting and audits.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 12 2010-01-01 2010-01-01 false Borrower accounting methods, management reporting and... Grant Application Processing § 1780.47 Borrower accounting methods, management reporting and audits. (a) Borrowers are required to provide RUS an annual audit or financial statements. (b) Method of accounting and...

  5. Manufacturing Methods and Technology Project Execution Report, Second CY 81

    Science.gov (United States)

    1982-03-15

    RESPECTIVELY UNSuITED AND INADEQUATE OR nARD TO BE ADAPTED Tu LN-L1NE PRUDoCTlON TESTING USAGE . NLABS 81 8063 IMPROVED METHODS OF MFR Of BUTYL...IMPACT NON-METALLIC FUEL TANK. T 8^ 5075 MILITARY ELASTOMERS FDR TkACK VEHICLES (PHASE 11) TRACK LIFE IS HELD AT ITS PRESENT LEVEL BY FAILURE OF...INCREASES COST DUE TD LONG LEAD TIMES, SCHEDULE LNTtRRUPTlDNS AND SnDRTAGtS DF MACHINE AVAILABILTY , LABOR AND MATERIALS. 6 B<L BB’tl HOLLDW

  6. Genetic analysis of the regulation of TCH gene expression, Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Braam, Janet

    2008-10-28

    The Arabidopsis TCH genes, originally isolated as a consequence of their upregulation in response to the mechanical stimulus of touch, are also upregulated by a variety of seemingly disparate environmental and hormonal stimuli. To gain insight into the complexities of TCH gene regulation, a number of approaches were taken. Regulatory elements responsible for regulation were identified and characteristics of the regulation were evaluated. Reporter genes were used to monitor expression localization and dynamics. Microarray analyses of genome-wide expression behavior indicated that touch-inducible gene expression is more widespread than generally appreciated. Identification of all touch-regulated genes shed light on the types of cellular processes that may be altered in response to mechanical stress perturbations. Expression of the TCH2 gene, also called CML24, encoding a calmodulin (CaM)-like (CML) protein, was evaluated. CML24 shares over 40% amino acid sequence identity with CaM, has 4 EF hands and undergoes a Ca2+-dependent change in migration rate through denaturing gel electrophoresis, indicating that CML24 binds Ca2+ and, as a consequence, undergoes conformational changes. CML24 expression occurs in all major organs and is induced from 2- to 15-fold in plants subjected to touch, darkness, heat, cold, hydrogen peroxide, abscisic acid (ABA) and indole-3-acetic acid. The putative CML24 regulatory region confers reporter expression at sites of predicted mechanical stress, in regions undergoing growth, in vascular tissues and various floral organs and in stomata, trichomes and hydathodes. CML24 underexpressing transgenics are resistant to ABA inhibition of germination and seedling growth, defective in long-day induction of flowering, and have enhanced tolerance to CoCl2, molybdic acid, ZnSO4 and MgCl2. These data present evidence that CML24 encodes a potential Ca2+ sensor that may function to enable responses to ABA, day length and presence of various salts. Further

  7. A robust dual reporter system to visualize and quantify gene expression mediated by transcription activator-like effectors

    Directory of Open Access Journals (Sweden)

    Uhde-Stone Claudia

    2012-08-01

    Full Text Available Abstract Background Transcription activator-like effectors (TALEs are a class of naturally occurring transcription effectors that recognize specific DNA sequences and modulate gene expression. The modularity of TALEs DNA binding domain enables sequence-specific perturbation and offers broad applications in genetic and epigenetic studies. Although the efficient construction of TALEs has been established, robust functional tools to assess their functions remain lacking. Results We established a dual reporter system that was specifically designed for real-time monitoring and quantifying gene expression mediated by TALEs. We validated both sensitivity and specificity of this dual-reporter system in mammalian cells, and demonstrated that this dual reporter system is robust and potentially amenable to high throughput (HTP applications. Conclusion We have designed, constructed and validated a novel dual reporter system for assessing TALE mediated gene regulations. This system offers a robust and easy-to- use tool for real-time monitoring and quantifying gene expression in mammalian cells.

  8. p53 Promoter-based Reporter Gene in vitro Assays for Quick Assessment of Agents with Genotoxic Potential

    Institute of Scientific and Technical Information of China (English)

    Huaixing LI; Ke SHI; Ruiwen CHEN; Yan HE; Dan WU; Shuhan SUN

    2007-01-01

    The p53 promoter-based green fluorescent protein (GFP) and luciferase reporter gene assays have been established for detecting DNA damage induced by genotoxic agents.To evaluate the system,NIH3T3 cells transfected with either pHP53-GFP or pMP53-GFP construct were treated with mitomycin or 5-fluorouracil.Expression of the GFP reporter gene was significantly and specifically induced in the cells exposed to mitomycin or 5-fluorouracil.Then we treated NIH3T3 cells harboring pHP53-Luc or pMP53-Luc vector with mitomycin,5-fluorouracil or cisplatin at various concentrations.Similarly,exposure of the cells to these agents with genotoxic potentials resulted in a dose-dependent induction in luciferase reporter gene expression.Thus,these in vitro reporter gene assays could provide an ideal system for quick assessment or screening of agents with genotoxic potential.

  9. Screening, detection, and serotyping methods for toxin genes and enterotoxins in Staphylococcus strains.

    Science.gov (United States)

    Hait, Jennifer M; Tallent, Sandra M; Bennett, Reginald W

    2014-01-01

    Staphylococcus aureus continues to play a significant role in foodborne outbreak investigations, with numerous individuals sickened each year after ingesting assorted foods contaminated with staphylococcal enterotoxins. The purpose of this study was to evaluate the use of several methods for the screening, detection, and enterotoxin serotyping of staphylococcal bacterial strains for classical staphylococcal enterotoxins (SEs; SEA, SEB, SEC, SED, and SEE) and the newly described SE and SE-like enterotoxin genes (seg, seh, sei, sej, sek, sel, sem, sen, seo, sep, seq, ser, ses, set, and seu). Inclusivity and exclusivity panels of staphylococcal strains were tested using a multiplex PCR method in addition to three polyvalent commercially prepared ELISA systems for the detection of SEA-SEE and one monovalent assay for the identification of classical SE serotypes. The results indicate an overall agreement between serological detection methods with a few exceptions, and molecular characterization identified an abundance of SE and SE-like enterotoxin genes including several potentially enterotoxigenic isolates that would have otherwise been missed by ELISA-based methods. These findings demonstrate the significance of PCR for future screening purposes and the use of ELISA systems for the detection and enterotoxin serotyping of staphylococcal bacterial strains.

  10. Hydrogeological-Geophysical Methods for Subsurface Site Characterization - Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Rubin, Yoram

    2001-01-01

    The goal of this research project is to increase water savings and show better ecological control of natural vegetation by developing hydrogeological-geophysical methods for characterizing the permeability and content of water in soil. The ground penetrating radar (GPR) tool was developed and used as the surface geophysical method for monitoring water content. Initial results using the tool suggest that surface GPR is a viable technique for obtaining precision volumetric water content profile estimates, and that laboratory-derived petrophysical relationships could be applied to field-scale GPR data. A field-scale bacterial transport study was conducted within an uncontaminated sandy Pleistocene aquifer to evaluate the importance of heterogeneity in controlling the transport of bacteria. Geochemical, hydrological, geological, and geophysical data were collected to characterize the site prior to and after chemical and bacterial injection experiments. Study results shows that, even within the fairly uniform shallow marine deposits of the narrow channel focus area, heterogeneity existed that influenced the chemical tracer transport over lateral distances of a few meters and vertical distances of less than a half meter. The interpretation of data suggest that the incorporation of geophysical data with limited hydrological data may provide valuable information about the stratigraphy, log conductivity values, and the spatial correlation structure of log conductivity, which have traditionally been obtainable only by performing extensive and intrusive hydrological sampling.

  11. Constructing a Knowledge Base for Gene Regulatory Dynamics by Formal Concept Analysis Methods

    CERN Document Server

    Wollbold, Johannes; Ganter, Bernhard

    2008-01-01

    Our aim is to build a set of rules, such that reasoning over temporal dependencies within gene regulatory networks is possible. The underlying transitions may be obtained by discretizing observed time series, or they are generated based on existing knowledge, e.g. by Boolean networks or their nondeterministic generalization. We use the mathematical discipline of formal concept analysis (FCA), which has been applied successfully in domains as knowledge representation, data mining or software engineering. By the attribute exploration algorithm, an expert or a supporting computer program is enabled to decide about the validity of a minimal set of implications and thus to construct a sound and complete knowledge base. From this all valid implications are derivable that relate to the selected properties of a set of genes. We present results of our method for the initiation of sporulation in Bacillus subtilis. However the formal structures are exhibited in a most general manner. Therefore the approach may be adapte...

  12. Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer

    Directory of Open Access Journals (Sweden)

    Michael eHines

    2011-11-01

    Full Text Available The performance of several spike exchange methods using a Blue Gene/P supercomputerhas been tested with 8K to 128K cores using randomly connected networks of up to 32M cells with 1k connections per cell and 4M cells with 10k connections per cell. The spike exchange methods used are the standard Message Passing Interface collective, MPI_Allgather, and several variants of the non-blocking multisend method either implemented via non-blocking MPI_Isend, or exploiting the possibility of very low overhead direct memory access communication available on the Blue Gene/P. In all cases the worst performing method was that using MPI_Isend due to the high overhead of initiating a spike communication. The two best performing methods --- the persistent multisend method using the Record-Replay feature of the Deep Computing Messaging Framework DCMF_Multicast;and a two phase multisend in which a DCMF_Multicast is used to first send to a subset of phase 1 destination cores which then pass it on to their subset of phase 2 destination cores --- had similar performance with very low overhead for the initiation of spike communication. Departure from ideal scaling for the multisend methods is almost completely due to load imbalance caused by the largevariation in number of cells that fire on each processor in the interval between synchronization. Spike exchange time itself is negligible since transmission overlaps with computation and is handled by a direct memory access controller. We conclude that ideal performance scaling will be ultimately limited by imbalance between incoming processor spikes between synchronization intervals. Thus, counterintuitively, maximization of load balance requires that the distribution of cells on processors should not reflect neural net architecture but be randomly distributed so that sets of cells which are burst firing together should be on different processors with their targets on as large a set of processors as possible.

  13. Promoters of AaGL2 and AaMIXTA-Like1 genes of Artemisia annua direct reporter gene expression in glandular and non-glandular trichomes.

    Science.gov (United States)

    Jindal, Sunita; Longchar, Bendangchuchang; Singh, Alka; Gupta, Vikrant

    2015-01-01

    Herein, we report cloning and analysis of promoters of GLABRA2 (AaGL2) homolog and a MIXTA-Like (AaMIXTA-Like1) gene from Artemisia annua. The upstream regulatory regions of AaGL2 and AaMIXTA-Like1 showed the presence of several crucial cis-acting elements. Arabidopsis and A. annua seedlings were transiently transfected with the promoter-GUS constructs using a robust agro-infiltration method. Both AaGL2 and AaMIXTA-Like1 promoters showed GUS expression preferentially in Arabidopsis single-celled trichomes and glandular as well as T-shaped trichomes of A. annua. Transgenic Arabidopsis harboring constructs in which AaGL2 or AaMIXTA-Like1 promoters would control GFP expression, showed fluorescence emanating specifically from trichome cells. Our study provides a fast and efficient method to study trichome-specific expression, and 2 promoters that have potential for targeted metabolic engineering in plants.

  14. Gene Expression Analysis of Immunostained Endothelial Cells Isolated from Formaldehyde-fixated Paraffin Embedded Tumors Using Laser Capture Microdissection – a Technical Report

    Science.gov (United States)

    Kaneko, Tomoatsu; Okiji, Takashi; Kaneko, Reika; Suda, Hideaki; Nör, Jacques E.

    2009-01-01

    Laser capture microdissection (LCM) allows microscopic procurement of specific cell types from tissue sections that can then be used for gene expression analysis. In conventional LCM, frozen tissues stained with hematoxylin are normally used to the molecular analysis. Recent studies suggested that it is possible to carry out gene expression analysis of formaldehyde-fixated paraffin embedded (FFPE) tissues that were stained with hematoxylin. However, it is still unclear if quantitative gene expression analyses can be performed from LCM cells from FFPE tissues that were subjected to immunostaining to enhance identification of target cells. In this proof-of-principle study, we analyzed by RT-PCR and real time PCR the expression of genes in factor VIII immunostained human endothelial cells that were dissected from FFPE tissues by LCM. We observed that immunostaining should be performed at 4°C to preserve the mRNA from the cells. The expression of Bcl-2 in the endothelial cells was evaluated by RT-PCR and by real time PCR. GAPDH and 18S were used as house keeping genes for RT-PCR and real time PCR, respectively. This report unveils a method for quantitative gene expression analysis in cells that were identified by immunostaining and retrieved by LCM from FFPE tissues. This method is ideally suited for the analysis of relatively rare cell types within a tissue, and should improve on our ability to perform differential diagnosis of pathologies as compared to conventional LCM. PMID:19425073

  15. Are all the previously reported genetic variants in limb girdle muscular dystrophy genes pathogenic?

    Science.gov (United States)

    Di Fruscio, Giuseppina; Garofalo, Arcomaria; Mutarelli, Margherita; Savarese, Marco; Nigro, Vincenzo

    2016-01-01

    Hundreds of variants in autosomal genes associated with the limb girdle muscular dystrophies (LGMDs) have been reported as being causative. However, in most cases the proof of pathogenicity derives from their non-occurrence in hundreds of healthy controls and/or from segregation studies in small families. The limited statistics of the genetic variations in the general population may hamper a correct interpretation of the effect of variants on the protein. To clarify the meaning of low-frequency variants in LGMD genes, we have selected all variants described as causative in the Leiden Open Variation Database and the Human Gene Mutation Database. We have systematically searched for their frequency in the NHLBI GO Exome Sequencing Project (ESP) and in our internal database. Surprisingly, the ESP contains about 4% of the variants previously associated with a dominant inheritance and about 9% of those associated with a recessive inheritance. The putative disease alleles are much more frequent than those estimated considering the disease prevalence. In conclusion, we hypothesize that a number of disease-associated variants are non-pathogenic and that other variations are not fully penetrant, even if they affect the protein function, suggesting a more complex genetic mechanisms for such heterogeneous disorders.

  16. Identification of genes in anonymous DNA sequences. Annual performance report, February 1, 1991--January 31, 1992

    Energy Technology Data Exchange (ETDEWEB)

    Fields, C.A.

    1996-06-01

    The objective of this project is the development of practical software to automate the identification of genes in anonymous DNA sequences from the human, and other higher eukaryotic genomes. A software system for automated sequence analysis, gm (gene modeler) has been designed, implemented, tested, and distributed to several dozen laboratories worldwide. A significantly faster, more robust, and more flexible version of this software, gm 2.0 has now been completed, and is being tested by operational use to analyze human cosmid sequence data. A range of efforts to further understand the features of eukaryoyic gene sequences are also underway. This progress report also contains papers coming out of the project including the following: gm: a Tool for Exploratory Analysis of DNA Sequence Data; The Human THE-LTR(O) and MstII Interspersed Repeats are subfamilies of a single widely distruted highly variable repeat family; Information contents and dinucleotide compostions of plant intron sequences vary with evolutionary origin; Splicing signals in Drosophila: intron size, information content, and consensus sequences; Integration of automated sequence analysis into mapping and sequencing projects; Software for the C. elegans genome project.

  17. Sporadic Cerebral Cavernous Malformations: Report of Further Mutations of CCM Genes in 40 Italian Patients

    Directory of Open Access Journals (Sweden)

    Rosalia D’Angelo

    2013-01-01

    Full Text Available Cerebral cavernous malformations (CCMs are vascular lesions characterized by abnormally enlarged capillary cavities, affecting the central nervous system. CCMs can occur sporadically or as a familial autosomal dominant condition with incomplete penetrance and variable clinical expression attributable to mutations in three different genes: CCM1 (K-Rev interaction trapped 1 (KRIT1, CCM2 (MGC4607, and CCM3 (PDCD10. CCMs occur as a single or multiple malformations that can lead to seizures, focal neurological deficits, hemorrhagic stroke, and headache. However, patients are frequently asymptomatic. In our previous mutation screening, performed in a cohort of 95 Italian patients, both sporadic and familial, we have identified several mutations in CCM genes, three of which in three distinct sporadic patients. In this study, representing further molecular screening of the three CCM genes, in a south Italian cohort of CCM patients enrolled by us in the last three years, we report the identification of other four new mutations in 40 sporadic patients with either single or multiple CCM.

  18. Sporadic Cerebral Cavernous Malformations: Report of Further Mutations of CCM Genes in 40 Italian Patients

    Science.gov (United States)

    D'Angelo, Rosalia; Alafaci, Concetta; Scimone, Concetta; Ruggeri, Alessia; Salpietro, Francesco Maria; Bramanti, Placido; Tomasello, Francesco; Sidoti, Antonina

    2013-01-01

    Cerebral cavernous malformations (CCMs) are vascular lesions characterized by abnormally enlarged capillary cavities, affecting the central nervous system. CCMs can occur sporadically or as a familial autosomal dominant condition with incomplete penetrance and variable clinical expression attributable to mutations in three different genes: CCM1 (K-Rev interaction trapped 1 (KRIT1)), CCM2 (MGC4607), and CCM3 (PDCD10). CCMs occur as a single or multiple malformations that can lead to seizures, focal neurological deficits, hemorrhagic stroke, and headache. However, patients are frequently asymptomatic. In our previous mutation screening, performed in a cohort of 95 Italian patients, both sporadic and familial, we have identified several mutations in CCM genes, three of which in three distinct sporadic patients. In this study, representing further molecular screening of the three CCM genes, in a south Italian cohort of CCM patients enrolled by us in the last three years, we report the identification of other four new mutations in 40 sporadic patients with either single or multiple CCM. PMID:24058906

  19. Workshop on molecular methods for genetic diagnosis. Final technical report

    Energy Technology Data Exchange (ETDEWEB)

    Rinchik, E.M.

    1997-07-01

    The Sarah Lawrence College Human Genetics Program received Department of Energy funding to offer a continuing medical education workshop for genetic counselors in the New York metropolitan area. According to statistics from the National Society of Genetic Counselors, there are approximately 160 genetic counselors working in the tri-state area (New York, New Jersey, and Connecticut), and many of them had been working in the field for more than 10 years. Thus, there was a real need to offer these counselors an in-depth opportunity to learn the specifics of the major advances in molecular genetics, and, in particular, the new approaches to diagnostic testing for genetic disease. As a result of the DOE Award DE-FG02-95ER62048 ($20,583), in July 1995 we offered the {open_quotes}Workshop on Molecular Methods for Genetic Diagnosis{close_quotes} for 24 genetic counselors in the New York metropolitan area. The workshop included an initial review session on the basics of molecular biology, lectures and discussions on past and current topics in molecular genetics and diagnostic procedures, and, importantly, daily laboratory exercises. Each counselor gained not only background, but also firsthand experience, in the major techniques of biochemical and molecular methods for diagnosing genetic diseases as well as in mathematical and computational techniques involved in human genetics analyses. Our goal in offering this workshop was not to make genetic counselors experts in these laboratory diagnostic techniques, but to acquaint them, by hands-on experience, about some of the techniques currently in use. We also wanted to provide them a technical foundation upon which they can understand and appreciate new technical developments arising in the near future.

  20. Development of a protocol for selection of genes fit for the in vivo knockdown method and its application to insulin receptor substrate genes in mice.

    Science.gov (United States)

    Saito, Mikako; Kakutani, Yukari; Kaburagi, Misako; Funabashi, Hisakage; Matsuoka, Hideaki

    2013-01-01

    Prediabetes model mice in which more than one gene associated with diabetes is knocked down simultaneously are potentially useful for pharmaceutical and medical studies of diabetes. However, the effective conditions for sufficient knockdown in vivo are dependent on the intrinsic properties of the target genes. It is necessary to investigate which genes are applicable or not to the in vivo knockdown method. In this study, insulin receptor substrate 1 and 2 (Irs-1, Irs-2) were selected as target genes. Effective siRNAs against the respective genes were designed, and their efficacy was confirmed by cell-based experiments. Based on the results of siRNAs, shRNA expression vectors against Irs-1 and Irs-2 were constructed, respectively. Their efficacy was also confirmed by cell-based experiments. A hydrodynamic method was applied to the delivery of the vectors to mice. This method was found to be effective for predominant delivery to the liver by demonstrative delivery of an EGFP expression vector and successive histochemical analysis. Fifty micrograms of the shRNA expression vector was injected into the tail vein. After 24 h, the liver, pancreas, and muscle were isolated, and the expression levels of Irs-1 and Irs-2 were analyzed by quantitative RT-PCR. In the liver, Irs-2 was effectively knocked down to 60% of the control level, but Irs-1 was not influenced even under the same conditions. The protocol developed here is feasible for the selection of genes fit for in vivo knockdown method.

  1. Brief Report: Aggression and Stereotypic Behavior in Males with Fragile X Syndrome-- Moderating Secondary Genes in a "Single Gene" Disorder

    Science.gov (United States)

    Hessl, David; Tassone, Flora; Cordeiro, Lisa; Koldewyn, Kami; McCormick, Carolyn; Green, Cherie; Wegelin, Jacob; Yuhas, Jennifer; Hagerman, Randi J.

    2008-01-01

    Although fragile X syndrome (FXS) is a single gene disorder with a well-described phenotype, it is not known why some individuals develop more significant maladaptive behaviors such as aggression or autistic symptoms. Here, we studied two candidate genes known to affect mood and aggression, the serotonin transporter (5-HTTLPR) and monoamine…

  2. Brief Report: Aggression and Stereotypic Behavior in Males with Fragile X Syndrome-- Moderating Secondary Genes in a "Single Gene" Disorder

    Science.gov (United States)

    Hessl, David; Tassone, Flora; Cordeiro, Lisa; Koldewyn, Kami; McCormick, Carolyn; Green, Cherie; Wegelin, Jacob; Yuhas, Jennifer; Hagerman, Randi J.

    2008-01-01

    Although fragile X syndrome (FXS) is a single gene disorder with a well-described phenotype, it is not known why some individuals develop more significant maladaptive behaviors such as aggression or autistic symptoms. Here, we studied two candidate genes known to affect mood and aggression, the serotonin transporter (5-HTTLPR) and monoamine…

  3. The application of reporter gene assays for the detection of endocrine disruptors in sport supplements

    Energy Technology Data Exchange (ETDEWEB)

    Plotan, Monika; Elliott, Christopher T. [Institute of Agri-Food and Land Use, School of Biological Sciences, Queen' s University Belfast, Belfast BT95AG, Northern Ireland (United Kingdom); Scippo, Marie Louise [Department of Food Sciences, University of Liege, 4000 Liege (Belgium); Muller, Marc [Molecular Biology and Genetic Engineering GIGA-R, University of Liege, 4000 Liege (Belgium); Antignac, Jean-Philippe [LABERCA, ENVN, USC INRA 2013, BP 50707, 44 307, Nantes (France); Malone, Edward [The State Laboratory, Young' s Cross, Celbridge, Co. Kildare (Ireland); Bovee, Toine F.H. [RIKILT Institute of Food Safety, P.O. Box 230, AE Wageningen 6700 (Netherlands); Mitchell, Samuel [Agri-Food and Biosciences Institute, Belfast BT9 5PX (United Kingdom); Connolly, Lisa, E-mail: l.connolly@qub.ac.uk [Institute of Agri-Food and Land Use, School of Biological Sciences, Queen' s University Belfast, Belfast BT95AG, Northern Ireland (United Kingdom)

    2011-08-26

    The increasing availability and use of sports supplements is of concern as highlighted by a number of studies reporting endocrine disruptor contamination in such products. The health food supplement market, including sport supplements, is growing across the Developed World. Therefore, the need to ensure the quality and safety of sport supplements for the consumer is essential. The development and validation of two reporter gene assays coupled with solid phase sample preparation enabling the detection of estrogenic and androgenic constituents in sport supplements is reported. Both assays were shown to be of high sensitivity with the estrogen and androgen reporter gene assays having an EC{sub 50} of 0.01 ng mL{sup -1} and 0.16 ng mL{sup -1} respectively. The developed assays were applied in a survey of 63 sport supplements samples obtained across the Island of Ireland with an additional seven reference samples previously investigated using LC-MS/MS. Androgen and estrogen bio-activity was found in 71% of the investigated samples. Bio-activity profiling was further broken down into agonists, partial agonists and antagonists. Supplements (13) with the strongest estrogenic bio-activity were chosen for further investigation. LC-MS/MS analysis of these samples determined the presence of phytoestrogens in seven of them. Supplements (38) with androgen bio-activity were also selected for further investigation. Androgen agonist bio-activity was detected in 12 supplements, antagonistic bio-activity was detected in 16 and partial antagonistic bio-activity was detected in 10. A further group of supplements (7) did not present androgenic bio-activity when tested alone but enhanced the androgenic agonist bio-activity of dihydrotestosterone when combined. The developed assays offer advantages in detection of known, unknown and low-level mixtures of endocrine disruptors over existing analytical screening techniques. For the detection and identification of constituent hormonally

  4. Improved gene prediction by principal component analysis based autoregressive Yule-Walker method.

    Science.gov (United States)

    Roy, Manidipa; Barman, Soma

    2016-01-10

    Spectral analysis using Fourier techniques is popular with gene prediction because of its simplicity. Model-based autoregressive (AR) spectral estimation gives better resolution even for small DNA segments but selection of appropriate model order is a critical issue. In this article a technique has been proposed where Yule-Walker autoregressive (YW-AR) process is combined with principal component analysis (PCA) for reduction in dimensionality. The spectral peaks of DNA signal are used to detect protein-coding regions based on the 1/3 frequency component. Here optimal model order selection is no more critical as noise is removed by PCA prior to power spectral density (PSD) estimation. Eigenvalue-ratio is used to find the threshold between signal and noise subspaces for data reduction. Superiority of proposed method over fast Fourier Transform (FFT) method and autoregressive method combined with wavelet packet transform (WPT) is established with the help of receiver operating characteristics (ROC) and discrimination measure (DM) respectively.

  5. [A novel method of the genome-wide prediction for the target genes and its application].

    Science.gov (United States)

    Zhang, Jing-Jing; Feng, Jing; Zhu, Ying-Guo; Li, Yang-Sheng

    2006-10-01

    Based on the protein databases of several model species, this study developed a new method of the Genome-wide prediction for the target genes, using Hidden Markov model by Perl programming. The advantages of this method are high throughput, high quality and easy prediction, especially in the case of multi-domains proteins families. By this method, we predicted the PPR and TPR proteins families in whole genome of several model species. There were 536 PPR proteins and 199 TPR proteins in Oryza sativa ssp. japonica, 519 PPR proteins and 177 TPR proteins in Oryza sativa L. ssp. indica, 735 PPR proteins and 292 TPR proteins in Arabidopsis thaliana, 6 PPR proteins and 32 TPR proteins in Cyanidioschyzon merolae. Synechococcus and Thermophilic archaebacterium did not have PPR proteins. By contrast, 10 TPR proteins were found in Synechococcus and 4 TPR proteins were found in Thermophilic archaebacterium. Moreover, of these results, some further bioinformatics analyses were conducted.

  6. A method to find groups of orthogous genes across multiple genomes

    Directory of Open Access Journals (Sweden)

    ALMEIDA, N.F.

    2013-12-01

    Full Text Available In this work we propose a simple method to obtain groups of homologous genes across multiple (k organisms, called kGC. Our method takes as input all-against-all Blastp comparisons and produces groups of homologous sequences. First, homologies among groups of paralogs of all the k compared genomes are found, followed by homologies of groups among k - 1 genomes and so on, until groups belonging exclusively to only one genome, that is, groups of one genome not presenting strong similarities with any group of any other genome, are identified. We have used our method to determine homologous groups across six Actinobacterial complete genomes. To validate kGC, we first investigate the Pfam classification of the homologous groups, and after compare our results with those produced by OrthoMCL. Although kGC is much simpler than OrthoMCL it presented similar results with respect to Pfam classification.

  7. Complicated distal femoral epiphyseolysis treated by Ilizarov method: Case report

    Directory of Open Access Journals (Sweden)

    Jovanović Vesna

    2010-01-01

    Full Text Available Introduction Injuries of the distal femur are rare in children; however, they are frequently associated with complications. They are almost always physeal, most frequently Salter-Harris type II epiphyseolysis. The treatment of such injuries is similar in all physeal injuries. It is intended to provide growth plate recovery by gentle reduction and stable fixation thus preventing secondary complications, and also to provide decompression of the segment to solve the compartment syndrome and recover the neurovascular structures. Case Outline A seven-year old boy presented with a right knee injury while sleigh riding. He was admitted three weeks following the injury with distal femoral epiphysiolysis associated with peroneal palsy. A day after admission to our Institute the reduction was performed using the Ilizarov device. Physical therapy was started immediately after surgery, as well as walking with weight bearing on the operated leg. Five months after surgery the patient was anatomically and functionally recovered. Conclusion The presented method is recommended in the treatment of such injuries because of several reasons; reposition is simple and complete, there is no need to open the fracture site, fixation is stable, the growth plate is preserved, there is no need for additional external immobilisation, and physical therapy involving walking with weight bearing on the operated leg may be started immediately after surgery. .

  8. Genetic heritability of ischemic stroke and the contribution of previously reported candidate gene and genomewide associations.

    Science.gov (United States)

    Bevan, Steve; Traylor, Matthew; Adib-Samii, Poneh; Malik, Rainer; Paul, Nicola L M; Jackson, Caroline; Farrall, Martin; Rothwell, Peter M; Sudlow, Cathie; Dichgans, Martin; Markus, Hugh S

    2012-12-01

    The contribution of genetics to stroke risk, and whether this differs for different stroke subtypes, remainsuncertain. Genomewide complex trait analysis allows heritability to be assessed from genomewide association study (GWAS) data. Previous candidate gene studies have identified many associations with stoke but whether these are important requires replication in large independent data sets. GWAS data sets provide a powerful resource to perform replication studies. We applied genomewide complex trait analysis to a GWAS data set of 3752 ischemic strokes and 5972 controls and determined heritability for all ischemic stroke and the most common subtypes: large-vessel disease, small-vessel disease, and cardioembolic stroke. By systematic review we identified previous candidate gene and GWAS associations with stroke and previous GWAS associations with related cardiovascular phenotypes (myocardial infarction, atrial fibrillation, and carotid intima-media thickness). Fifty associations were identified. For all ischemic stroke, heritability was 37.9%. Heritability varied markedly by stroke subtype being 40.3% for large-vessel disease and 32.6% for cardioembolic but lower for small-vessel disease (16.1%). No previously reported candidate gene was significant after rigorous correction for multiple testing. In contrast, 3 loci from related cardiovascular GWAS studies were significant: PHACTR1 in large-vessel disease (P=2.63e(-6)), PITX2 in cardioembolic stroke (P=4.78e(-8)), and ZFHX3 in cardioembolic stroke (P=5.50e(-7)). There is substantial heritability for ischemic stroke, but this varies for different stroke subtypes. Previous candidate gene associations contribute little to this heritability, but GWAS studies in related cardiovascular phenotypes are identifying robust associations. The heritability data, and data from GWAS, suggest detecting additional associations will depend on careful stroke subtyping.

  9. A combinational feature selection and ensemble neural network method for classification of gene expression data

    Directory of Open Access Journals (Sweden)

    Jiang Tianzi

    2004-09-01

    Full Text Available Abstract Background Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for a particular disease. To date, this problem has received most attention in the context of cancer research, especially in tumor classification. Various feature selection methods and classifier design strategies also have been generally used and compared. However, most published articles on tumor classification have applied a certain technique to a certain dataset, and recently several researchers compared these techniques based on several public datasets. But, it has been verified that differently selected features reflect different aspects of the dataset and some selected features can obtain better solutions on some certain problems. At the same time, faced with a large amount of microarray data with little knowledge, it is difficult to find the intrinsic characteristics using traditional methods. In this paper, we attempt to introduce a combinational feature selection method in conjunction with ensemble neural networks to generally improve the accuracy and robustness of sample classification. Results We validate our new method on several recent publicly available datasets both with predictive accuracy of testing samples and through cross validation. Compared with the best performance of other current methods, remarkably improved results can be obtained using our new strategy on a wide range of different datasets. Conclusions Thus, we conclude that our methods can obtain more information in microarray data to get more accurate classification and also can help to extract the latent marker genes of the diseases for better diagnosis and treatment.

  10. Mutations of SCN4A gene cause different diseases: 2 case reports and literature review.

    Science.gov (United States)

    Liu, Xiao-li; Huang, Xiao-jun; Luan, Xing-hua; Zhou, Hai-yan; Wang, Tian; Wang, Jing-yi; Chen, Sheng-di; Tang, Hui-dong; Cao, Li

    2015-01-01

    SCN4A encodes the Nav1.4 channel and mutations in SCN4A lead to different ionic channelopathies. In this study, one sporadic individual of periodic paralysis, one paramyotonia family and 200 normal healthy controls are enrolled. Genomic DNA was extracted from peripheral blood leukocytes, followed by polymerase chain reaction and DNA sequencing of candidate genes, including SCN4A and CACNA1S. As a result, heterozygous mutations c.2024G>A (R675Q) and c.1333G>A (V445M) of gene SCN4A were identified in the hypokalemic periodic paralysis patient and the paramyotonia congenita family respectively. Both mutations were not detected in healthy controls. Compared with reported cases, patients with mutation R675Q usually do not present hypokalemic periodic paralysis but hyperkalemic or normokalemic periodic paralysis. The mutation V445M was first reported in Chinese patients with nondystrophic myotonias. In addition, we carried out literature review by summarizing clinical features of the 2 mutations and establish the genotype-phenotype correlations to provide guidance for diagnosis.

  11. Specific expression of bioluminescence reporter gene in cardiomyocyte regulated by tissue specific promoter

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen, Vu Hong; Tae, Seong Ho; Le, Nguyen Uyen Chi; Min, Jung Joon [Chonnam National University Medical School, Gwangju (Korea, Republic of)

    2007-07-01

    As the human heart is not capable of regenerating the great numbers of cardiac cells that are lost after myocardial infarction, impaired cardiac function is the inevitable result of ischemic disease. Recently, human embryonic stem cells (hESCs) have gained popularity as a potentially ideal cell candidate for tissue regeneration. In particular, hESCs are capable of cardiac lineage-specific differentiation and confer improvement of cardiac function following transplantation into animal models. Although such data are encouraging, the specific strategy for in vivo and non-invasive detection of differentiated cardiac lineage is still limited. Therefore, in the present study, we established the gene construction in which the optical reporter gene Firefly luciferase was controlled by Myosin Heavy Chain promoter for specific expressing in heart cells. The vector consisting of - MHC promoter and a firefly luciferase coding sequence flanked by full-length bovine growth hormone (BGH) 3'-polyadenylation sequence based on pcDNA3.1- vector backbone. To test the specific transcription of this promoter in g of MHC-Fluc or CMV-Flue (for control) plasmid DNA in myocardial tissue, 20 phosphate-buffered saline was directly injected into mouse myocardium through a midline sternotomy and liver. After 1 week of injection, MHC-Fluc expression was detected from heart region which was observed under cooled CCD camera of in vivo imaging system but not from liver. In control group injected with CMV-Flue, the bioluminescence was detected from all these organs. The expression of Flue under control of Myosin Heavy Chain promoter may become a suitable optical reporter gene for stem cell-derived cardiac lineage differentiation study.

  12. A meta-analysis based method for prioritizing candidate genes involved in a pre-specific function

    Directory of Open Access Journals (Sweden)

    Jingjing Zhai

    2016-12-01

    Full Text Available The identification of genes associated with a given biological function in plants remains a challenge, although network-based gene prioritization algorithms have been developed for Arabidopsis thaliana and many non-model plant species. Nevertheless, these network-based gene prioritization algorithms have encountered several problems; one in particular is that of unsatisfactory prediction accuracy due to limited network coverage, varying link quality, and/or uncertain network connectivity. Thus a model that integrates complementary biological data may be expected to increase the prediction accuracy of gene prioritization. Towards this goal, we developed a novel gene prioritization method named RafSee, to rank candidate genes using a random forest algorithm that integrates sequence, evolutionary, and epigenetic features of plants. Subsequently, we proposed an integrative approach named RAP (Rank Aggregation-based data fusion for gene Prioritization, in which an order statistics-based meta-analysis was used to aggregate the rank of the network-based gene prioritization method and RafSee, for accurately prioritizing candidate genes involved in a pre-specific biological function. Finally, we showcased the utility of RAP by prioritizing 380 flowering-time genes in Arabidopsis. The ‘leave-one-out’ cross-validation experiment showed that RafSee could work as a complement to a current state-of-art network-based gene prioritization system (AraNet v2. Moreover, RAP ranked 53.68% (204/380 flowering-time genes higher than AraNet v2, resulting in an 39.46% improvement in term of the first quartile rank. Further evaluations also showed that RAP was effective in prioritizing genes-related to different abiotic stresses. To enhance the usability of RAP for Arabidopsis and non-model plant species, an R package implementing the method is freely available at http://bioinfo.nwafu.edu.cn/software.

  13. A Mutagenesis Assay for Reporter Gene Screening Using Partially Degenerate Oligonucleotides of the Tandems NNT and NNC

    Directory of Open Access Journals (Sweden)

    Huifen Xu

    2015-01-01

    Full Text Available Not all proteins are tolerable to mutations. Whether a specific protein can be a mutable target is of importance in the biotechnology and pharmaceutical industry. This study reported a novel mutagenesis assay using tandem NNT and NNC oligonucleotides to test the mutability of a candidate gene. These two tandem oligonucleotides avoid the risk of forming nonsense mutations and render flexibility of truncating or expanding the insertion size. As a reporter gene, ZeoR (zeocin resistance gene was confirmed to have a high tolerance for mutagenesis by this new assay.

  14. Peptide-derived Method to Transport Genes and Proteins Across Cellular and Organellar Barriers in Plants.

    Science.gov (United States)

    Chuah, Jo-Ann; Horii, Yoko; Numata, Keiji

    2016-12-16

    The capacity to introduce exogenous proteins and express (or down-regulate) specific genes in plants provides a powerful tool for fundamental research as well as new applications in the field of plant biotechnology. Viable methods that currently exist for protein or gene transfer into plant cells, namely Agrobacterium and microprojectile bombardment, have disadvantages of low transformation frequency, limited host range, or a high cost of equipment and microcarriers. The following protocol outlines a simple and versatile method, which employs rationally-designed peptides as delivery agents for a variety of nucleic acid- and protein-based cargoes into plants. Peptides are selected as tools for development of the system due to their biodegradability, reduced size, diverse and tunable properties as well as the ability to gain intracellular/organellar access. The preparation, characterization and application of optimized formulations for each type of the wide range of delivered cargoes (plasmid DNA, double-stranded DNA or RNA, and protein) are described. Critical steps within the protocol, possible modifications and existing limitations of the method are also discussed.

  15. Research on stochastic power-flow study methods. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Heydt, G. T. [ed.

    1981-01-01

    A general algorithm to determine the effects of uncertainty in bus load and generation on the output of conventional power flow analysis is presented. The use of statistical moments is presented and developed as a means for representing the stochastic process. Statistical moments are used to describe the uncertainties, and facilitate the calculations of single and multivarlate probability density functions of input and output variables. The transformation of the uncertainty through the power flow equations is made by the expansion of the node equations in a multivariate Taylor series about an expected operating point. The series is truncated after the second order terms. Since the power flow equations are nonlinear, the expected values of output quantities is in general not the solution to the conventional load flow problem using expected values of input quantities. The second order transformation offers a correction vector and allows the consideration of larger uncertainties which have caused significant error in the current linear transformation algorithms. Voltage controlled busses are included with consideration of upper and lower limits. The finite reactive power available at generation sites, and fixed ranges of transformer tap movement may have a significant effect on voltage and line power flow statistics. A method is given which considers limitation constraints in the evaluation of all output quantities. The bus voltages, line power flows, transformer taps, and generator reactive power requirements are described by their statistical moments. Their values are expressed in terms of the probability that they are above or below specified limits, and their expected values given that they do fall outside the limits. Thus the algorithm supplies information about severity of overload as well as probability of occurrence. An example is given for an eleven bus system, evaluating each quantity separately. The results are compared with Monte Carlo simulation.

  16. Preclinical evaluation of gene delivery methods for the treatment of loco-regional disease in breast cancer.

    LENUS (Irish Health Repository)

    Rajendran, Simon

    2012-01-31

    Preclinical results with various gene therapy strategies indicate significant potential for new cancer treatments. However, many therapeutics fail at clinical trial, often due to differences in tissue physiology between animal models and humans, and tumor phenotype variation. Clinical data relevant to treatment strategies may be generated prior to clinical trial through experimentation using intact patient tissue ex vivo. We developed a novel tumor slice model culture system that is universally applicable to gene delivery methods, using a realtime luminescence detection method to assess gene delivery. Methods investigated include viruses (adenovirus [Ad] and adeno-associated virus), lipofection, ultrasound (US), electroporation and naked DNA. Viability and tumor populations within the slices were well maintained for seven days, and gene delivery was qualitatively and quantitatively examinable for all vectors. Ad was the most efficient gene delivery vector with transduction efficiency >50%. US proved the optimal non-viral gene delivery method in human tumor slices. The nature of the ex vivo culture system permitted examination of specific elements. Parameters shown to diminish Ad gene delivery included blood, regions of low viability and secondary disease. US gene delivery was significantly reduced by blood and skin, while tissue hyperthermia improved gene delivery. US achieved improved efficacy for secondary disease. The ex vivo model was also suitable for examination of tissue-specific effects on vector expression, with Ad expression mediated by the CXCR4 promoter shown to provide a tumor selective advantage over the ubiquitously active cytomegalovirus promoter. In conclusion, this is the first study incorporating patient tissue models in comparing gene delivery from various vectors, providing knowledge on cell-type specificity and examining the crucial biological factors determining successful gene delivery. The results highlight the importance of in

  17. Preclinical evaluation of gene delivery methods for the treatment of loco-regional disease in breast cancer.

    LENUS (Irish Health Repository)

    Rajendran, Simon

    2011-04-01

    Preclinical results with various gene therapy strategies indicate significant potential for new cancer treatments. However, many therapeutics fail at clinical trial, often due to differences in tissue physiology between animal models and humans, and tumor phenotype variation. Clinical data relevant to treatment strategies may be generated prior to clinical trial through experimentation using intact patient tissue ex vivo. We developed a novel tumor slice model culture system that is universally applicable to gene delivery methods, using a realtime luminescence detection method to assess gene delivery. Methods investigated include viruses (adenovirus [Ad] and adeno-associated virus), lipofection, ultrasound (US), electroporation and naked DNA. Viability and tumor populations within the slices were well maintained for seven days, and gene delivery was qualitatively and quantitatively examinable for all vectors. Ad was the most efficient gene delivery vector with transduction efficiency >50%. US proved the optimal non-viral gene delivery method in human tumor slices. The nature of the ex vivo culture system permitted examination of specific elements. Parameters shown to diminish Ad gene delivery included blood, regions of low viability and secondary disease. US gene delivery was significantly reduced by blood and skin, while tissue hyperthermia improved gene delivery. US achieved improved efficacy for secondary disease. The ex vivo model was also suitable for examination of tissue-specific effects on vector expression, with Ad expression mediated by the CXCR4 promoter shown to provide a tumor selective advantage over the ubiquitously active cytomegalovirus promoter. In conclusion, this is the first study incorporating patient tissue models in comparing gene delivery from various vectors, providing knowledge on cell-type specificity and examining the crucial biological factors determining successful gene delivery. The results highlight the importance of in

  18. Gene

    Data.gov (United States)

    U.S. Department of Health & Human Services — Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes,...

  19. A New Method for the Evaluation of Vaccine Safety Based on Comprehensive Gene Expression Analysis

    Directory of Open Access Journals (Sweden)

    Haruka Momose

    2010-01-01

    Full Text Available For the past 50 years, quality control and safety tests have been used to evaluate vaccine safety. However, conventional animal safety tests need to be improved in several aspects. For example, the number of test animals used needs to be reduced and the test period shortened. It is, therefore, necessary to develop a new vaccine evaluation system. In this review, we show that gene expression patterns are well correlated to biological responses in vaccinated rats. Our findings and methods using experimental biology and genome science provide an important means of assessment for vaccine toxicity.

  20. A transgenic wheat with a stilbene synthase gene resistant to powdery mildew obtained by biolistic method

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Stilbene, a kind of phytoalexin, plays an important role in resistance to fungal and bacterial infection in plants. It strongly inhibits the growth of fungi and sprout of spore. Stilbene synthase gene (Vst1) obtained from grapevine has been transferred into common spring wheat Jinghong 5 by using the biolistic transformation method. Five transgenic plants (T0) were obtained from the bombarded 2014 immature embryos. One immune plantlet and 3 plantlets with mid-resistance to powdery mildew were identified from the transgenic plants of T3 generation which came from 2 T0 transgenic plants.

  1. Development of RNAi method for screening candidate genes to control emerald ash borer, Agrilus planipennis.

    Science.gov (United States)

    Rodrigues, Thais B; Rieske, Lynne K; J Duan, Jian; Mogilicherla, Kanakachari; Palli, Subba R

    2017-08-07

    The ingestion of double-strand RNAs (dsRNA) targeting essential genes in an insect could cause mortality. Based on this principle, a new generation of insect control methods using RNA interference (RNAi) are being developed. In this work, we developed a bioassay for oral delivery of dsRNA to an invasive forest and urban tree pest, the emerald ash borer (EAB, Agrilus planipennis). EAB feeds and develops beneath the bark, killing trees rapidly. This behavior, coupled with the lack of a reliable artificial diet for rearing larvae and adults, make them difficult to study. We found that dsRNA is transported and processed to siRNAs by EAB larvae within 72 h after ingestion. Also, feeding neonate larvae with IAP (inhibitor of apoptosis) or COP (COPI coatomer, β subunit) dsRNA silenced their target genes and caused mortality. Both an increase in the concentration of dsRNA fed and sequential feeding of two different dsRNAs increased mortality. Here we provide evidence for successful RNAi in EAB, and demonstrate the development of a rapid and effective bioassay for oral delivery of dsRNA to screen additional genes.

  2. Validating tyrosinase homologue melA as a photoacoustic reporter gene for imaging Escherichia coli.

    Science.gov (United States)

    Paproski, Robert J; Li, Yan; Barber, Quinn; Lewis, John D; Campbell, Robert E; Zemp, Roger

    2015-10-01

    To understand the pathogenic processes for infectious bacteria, appropriate research tools are required for replicating and characterizing infections. Fluorescence and bioluminescence imaging have primarily been used to image infections in animal models, but optical scattering in tissue significantly limits imaging depth and resolution. Photoacoustic imaging, which has improved depth-to-resolution ratio compared to conventional optical imaging, could be useful for visualizing melA-expressing bacteria since melA is a bacterial tyrosinase homologue which produces melanin. Escherichia coli-expressing melA was visibly dark in liquid culture. When melA-expressing bacteria in tubes were imaged with a VisualSonics Vevo LAZR system, the signal-to-noise ratio of a 9×dilution sample was 55, suggesting that ∼20 bacteria cells could be detected with our system. Multispectral (680, 700, 750, 800, 850, and 900 nm) analysis of the photoacoustic signal allowed unmixing of melA-expressing bacteria from blood. To compare photoacoustic reporter gene melA (using Vevo system) with luminescent and fluorescent reporter gene Nano-lantern (using Bruker Xtreme In-Vivo system), tubes of bacteria expressing melA or Nano-lantern were submerged 10 mm in 1% Intralipid, spaced between Photoacoustic imaging could resolve the two tubes of melA-expressing bacteria even when the tubes were less than 1 mm from each other, while bioluminescence and fluorescence imaging could not resolve the two tubes of Nano-lantern-expressing bacteria even when the tubes were spaced 10 mm from each other. After injecting 100-μL of melA-expressing bacteria in the back flank of a chicken embryo, photoacoustic imaging allowed visualization of melA-expressing bacteria up to 10-mm deep into the embryo. Photoacoustic signal from melA could also be separated from deoxy- and oxy-hemoglobin signal observed within the embryo and chorioallantoic membrane. Our results suggest that melA is a useful photoacoustic reporter gene

  3. The effect of missing marker genotypes on the accuracy of gene-assisted breeding value estimation: a comparison of methods

    NARCIS (Netherlands)

    Mulder, H.A.; Meuwissen, T.H.E.; Calus, M.P.L.; Veerkamp, R.F.

    2010-01-01

    In livestock populations, missing genotypes on a large proportion of the animals is a major problem when implementing geneassisted breeding value estimation for genes with known effect. The objective of this study was to compare different methods to deal with missing genotypes on accuracy of gene-as

  4. Gene expression in human skeletal muscle: alternative normalization method and effect of repeated biopsies.

    Science.gov (United States)

    Lundby, Carsten; Nordsborg, Nikolai; Kusuhara, Keiko; Kristensen, Kristina Møller; Neufer, P Darrell; Pilegaard, Henriette

    2005-10-01

    The reverse transcriptase-polymerase chain reaction (RT-PCR) method has lately become widely used to determine transcription and mRNA content in rodent and human muscle samples. However, the common use of endogenous controls for correcting for variance in cDNA between samples is not optimal. Specifically, we investigated (1) a new normalization method based on determining the cDNA content by the flourophores PicoGreen and OliGreen, (2) effect of repeated muscle biopsies on mRNA gene expression, and (3) the spatial heterogeneity in mRNA expression across the muscle. Standard curves using oligo standards revealed a high degree of sensitivity and linearity (2.5-45 ng; R2>0.99) with OliGreen reagent, as was the case for OliGreen analyses with standard curves constructed from serial dilutions of representative RT samples (R2 >0.99 for a ten times dilution range of a representative reversed transcribed (RT) sample). Likewise, PicoGreen reagent detected the RNA:DNA hybrid content in RT samples with great sensitivity. Standard curves constructed from both double-stranded lambda DNA (1-10 ng) and from serial dilutions of representative RT samples consistently resulted in linearity with R2 >0.99. The present determination of cDNA content in reversed transcribed human skeletal muscle RNA samples by both PicoGreen and OliGreen analyses suggests that these fluorophores provide a potential alternative normalization procedure for human gene expression studies. In addition, the present study shows that multiple muscle biopsies obtained from the same muscle do not influence the mRNA response induced by an acute exercise bout for any of the genes examined.

  5. [Somatic hypermutagenesis in immunoglobulin genes. I. Connection of somatic mutations with repeats. A statistical weighting method].

    Science.gov (United States)

    Solov'ev, V V; Rogozin, I V; Kolchanov, N A

    1989-01-01

    Based on the analysis of a number of immunoglobulin genes' nucleotide sequences, it has been suggested, that somatic mutations emerge by means of imperfect duplexes correction, formed by mispairing of complementary regions of direct and inverted repeats. In the present work provides new data, confirming this mechanism of somatic hypermutagenesis. It has been shown that the presented sample of V- and J-segments of immunoglobulin genes is abundant in nonrandom imperfect direct repeats and complementary palindromes. To prove the connection of somatic mutations with the correction of imperfect duplexes, made up by the regions of these repeats, we have developed the method of statistical weights, permitting us to analyse the samples of mutations and repeats and to reveal the reliability of the connection between them. Using this method we have investigated the collection of 203 nucleotide substitutions in V- and J-segments and have shown a statistically reliable (P less than 10(-4) connection of these mutation positions with imperfect repeats.

  6. 7 CFR 1781.21 - Borrower accounting methods, management, reporting, and audits.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 12 2010-01-01 2010-01-01 false Borrower accounting methods, management, reporting... DEVELOPMENT (RCD) LOANS AND WATERSHED (WS) LOANS AND ADVANCES § 1781.21 Borrower accounting methods, management, reporting, and audits. These activities will be handled in accordance with the provisions of...

  7. Comparison of assessment methods for self-reported alcohol consumption in health interview surveys

    DEFF Research Database (Denmark)

    Ekholm, O; Strandberg-Larsen, K; Christensen, K;

    2008-01-01

    To select a simple method for assessing alcohol consumption and to compare how different reference periods and response categories influence the self-reported frequency of binge drinking.......To select a simple method for assessing alcohol consumption and to compare how different reference periods and response categories influence the self-reported frequency of binge drinking....

  8. MR molecular imaging of tumours using ferritin heavy chain reporter gene expression mediated by the hTERT promoter

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Yan [Third Military Medical University, Department of Radiology, XinQiao Hospital, ChongQing (China); The First Affiliated Hospital of ChengDu Medical College, Department of Radiology, ChengDu (China); Gong, Ming-fu; Yang, Hua; Zhang, Song; Wang, Guang-xian; Su, Tong-sheng; Wen, Li; Zhang, Dong [Third Military Medical University, Department of Radiology, XinQiao Hospital, ChongQing (China)

    2016-11-15

    Using the human telomerase reverse transcriptase (hTERT) promoter and the modified ferritin heavy chain (Fth) reporter gene, reporter gene expression for MRI was examined in telomerase positive and negative tumour cells and xenografts. Activity of the reporter gene expression vector Lenti-hTERT-Fth1-3FLAG-Puro was compared to constitutive CMV-driven expression and to the untransfected parental control in five tumour cell lines: A549, SKOV3, 293T, U2OS and HPDLF. In vitro, transfected cells were evaluated for FLAG-tagged protein expression, iron accumulation and transverse relaxation. In vivo, tumours transduced by lentiviral vector injection were imaged using T2*WI. Changes in tumour signal intensity were validated by histology. Only telomerase positive tumour cells expressed FLAG-tagged Fth and displayed an increase in R2* above the parental control, with a corresponding change in T2*WI. In addition, only telomerase positive tumours, transduced by injection of the reporter gene expression construct, exhibited a change in signal intensity on T2*WI. Tumour histology verified the expression of FLAG-tagged Fth and iron accumulation in telomerase positive tissue. Reporter gene expression for MRI, using the Fth reporter and the hTERT promoter, may be a useful strategy for the non-invasive diagnosis of many types of cancer. (orig.)

  9. Multimodality Molecular Imaging of Cardiac Cell Transplantation: Part I. Reporter Gene Design, Characterization, and Optical in Vivo Imaging of Bone Marrow Stromal Cells after Myocardial Infarction.

    Science.gov (United States)

    Parashurama, Natesh; Ahn, Byeong-Cheol; Ziv, Keren; Ito, Ken; Paulmurugan, Ramasamy; Willmann, Jürgen K; Chung, Jaehoon; Ikeno, Fumiaki; Swanson, Julia C; Merk, Denis R; Lyons, Jennifer K; Yerushalmi, David; Teramoto, Tomohiko; Kosuge, Hisanori; Dao, Catherine N; Ray, Pritha; Patel, Manishkumar; Chang, Ya-Fang; Mahmoudi, Morteza; Cohen, Jeff Eric; Goldstone, Andrew Brooks; Habte, Frezghi; Bhaumik, Srabani; Yaghoubi, Shahriar; Robbins, Robert C; Dash, Rajesh; Yang, Phillip C; Brinton, Todd J; Yock, Paul G; McConnell, Michael V; Gambhir, Sanjiv S

    2016-09-01

    Purpose To use multimodality reporter-gene imaging to assess the serial survival of marrow stromal cells (MSC) after therapy for myocardial infarction (MI) and to determine if the requisite preclinical imaging end point was met prior to a follow-up large-animal MSC imaging study. Materials and Methods Animal studies were approved by the Institutional Administrative Panel on Laboratory Animal Care. Mice (n = 19) that had experienced MI were injected with bone marrow-derived MSC that expressed a multimodality triple fusion (TF) reporter gene. The TF reporter gene (fluc2-egfp-sr39ttk) consisted of a human promoter, ubiquitin, driving firefly luciferase 2 (fluc2), enhanced green fluorescent protein (egfp), and the sr39tk positron emission tomography reporter gene. Serial bioluminescence imaging of MSC-TF and ex vivo luciferase assays were performed. Correlations were analyzed with the Pearson product-moment correlation, and serial imaging results were analyzed with a mixed-effects regression model. Results Analysis of the MSC-TF after cardiac cell therapy showed significantly lower signal on days 8 and 14 than on day 2 (P = .011 and P = .001, respectively). MSC-TF with MI demonstrated significantly higher signal than MSC-TF without MI at days 4, 8, and 14 (P = .016). Ex vivo luciferase activity assay confirmed the presence of MSC-TF on days 8 and 14 after MI. Conclusion Multimodality reporter-gene imaging was successfully used to assess serial MSC survival after therapy for MI, and it was determined that the requisite preclinical imaging end point, 14 days of MSC survival, was met prior to a follow-up large-animal MSC study. (©) RSNA, 2016 Online supplemental material is available for this article.

  10. Human IL-12 p40 as a reporter gene for high-throughput screening of engineered mouse embryonic stem cells

    Directory of Open Access Journals (Sweden)

    Shaffer Benjamin

    2008-06-01

    Full Text Available Abstract Background Establishing a suitable level of exogenous gene expression in mammalian cells in general, and embryonic stem (ES cells in particular, is an important aspect of understanding pathways of cell differentiation, signal transduction and cell physiology. Despite its importance, this process remains challenging because of the poor correlation between the presence of introduced exogenous DNA and its transcription. Consequently, many transfected cells must be screened to identify those with an appropriate level of expression. To improve the screening process, we investigated the utility of the human interleukin 12 (IL-12 p40 cDNA as a reporter gene for studies of mammalian gene expression and for high-throughput screening of engineered mouse embryonic stem cells. Results A series of expression plasmids were used to study the utility of IL-12 p40 as an accurate reporter of gene activity. These studies included a characterization of the IL-12 p40 expression system in terms of: (i a time course of IL-12 p40 accumulation in the medium of transfected cells; (ii the dose-response relationship between the input DNA and IL-12 p40 mRNA levels and IL-12 p40 protein secretion; (iii the utility of IL-12 p40 as a reporter gene for analyzing the activity of cis-acting genetic elements; (iv expression of the IL-12 p40 reporter protein driven by an IRES element in a bicistronic mRNA; (v utility of IL-12 p40 as a reporter gene in a high-throughput screening strategy to identify successful transformed mouse embryonic stem cells; (vi demonstration of pluripotency of IL-12 p40 expressing ES cells in vitro and in vivo; and (vii germline transmission of the IL-12 p40 reporter gene. Conclusion IL-12 p40 showed several advantages as a reporter gene in terms of sensitivity and ease of the detection procedure. The IL-12 p40 assay was rapid and simple, in as much as the reporter protein secreted from the transfected cells was accurately measured by ELISA using

  11. A novel lamin A/C gene mutation causing spinal muscular atrophy phenotype with cardiac involvement: report of one case.

    Science.gov (United States)

    Iwahara, Naotoshi; Hisahara, Shin; Hayashi, Takashi; Kawamata, Jun; Shimohama, Shun

    2015-02-20

    Mutations of the lamin A/C gene have been associated with several diseases such as Emery-Dreifuss muscular dystrophy, dilated cardiomyopathy and Charcot-Marie-Tooth disease, referred to as laminopathies. Only one report of spinal muscular atrophy and cardiomyopathy phenotype with lamin A/C gene mutations has been published. The concept that lamin A/C gene mutations cause spinal muscular atrophy has not been established. We report a man aged 65 years who presented with amyotrophy of lower limbs, arrhythmia and cardiac hypofunction. He showed gait disturbance since childhood, and his family showed similar symptoms. Neurological and electrophysiological findings suggested spinal muscular atrophy type 3. Gene analysis of lamin A/C gene showed a novel nonsense mutation p.Q353X (c.1057C > T). Further investigations revealed that he and his family members had cardiac diseases including atrioventricular block. We report the first Japanese case of spinal muscular atrophy phenotype associated with lamin A/C mutation. When a patient presents a spinal muscular atrophy phenotype and unexplained cardiac disease, especially when the family history is positive, gene analysis of lamin A/C gene should be considered.

  12. Targeting c-Myc-activated genes with a correlation method: Detection of global changes in large gene expression network dynamics

    Science.gov (United States)

    Remondini, D.; O'Connell, B.; Intrator, N.; Sedivy, J. M.; Neretti, N.; Castellani, G. C.; Cooper, L. N.

    2005-01-01

    This work studies the dynamics of a gene expression time series network. The network, which is obtained from the correlation of gene expressions, exhibits global dynamic properties that emerge after a cell state perturbation. The main features of this network appear to be more robust when compared with those obtained with a network obtained from a linear Markov model. In particular, the network properties strongly depend on the exact time sequence relationships between genes and are destroyed by random temporal data shuffling. We discuss in detail the problem of finding targets of the c-myc protooncogene, which encodes a transcriptional regulator whose inappropriate expression has been correlated with a wide array of malignancies. The data used for network construction are a time series of gene expression, collected by microarray analysis of a rat fibroblast cell line expressing a conditional Myc-estrogen receptor oncoprotein. We show that the correlation-based model can establish a clear relationship between network structure and the cascade of c-myc-activated genes. PMID:15867157

  13. An ensemble method for identifying regulatory circuits with special reference to the qa gene cluster of Neurospora crassa

    Science.gov (United States)

    Battogtokh, D.; Asch, D. K.; Case, M. E.; Arnold, J.; Schüttler, H.-B.

    2002-01-01

    A chemical reaction network for the regulation of the quinic acid (qa) gene cluster of Neurospora crassa is proposed. An efficient Monte Carlo method for walking through the parameter space of possible chemical reaction networks is developed to identify an ensemble of deterministic kinetics models with rate constants consistent with RNA and protein profiling data. This method was successful in identifying a model ensemble fitting available RNA profiling data on the qa gene cluster. PMID:12477937

  14. Waste Tank Organic Safety Program: Analytical methods development. Progress report, FY 1994

    Energy Technology Data Exchange (ETDEWEB)

    Campbell, J.A.; Clauss, S.A.; Grant, K.E. [and others

    1994-09-01

    The objectives of this task are to develop and document extraction and analysis methods for organics in waste tanks, and to extend these methods to the analysis of actual core samples to support the Waste Tank organic Safety Program. This report documents progress at Pacific Northwest Laboratory (a) during FY 1994 on methods development, the analysis of waste from Tank 241-C-103 (Tank C-103) and T-111, and the transfer of documented, developed analytical methods to personnel in the Analytical Chemistry Laboratory (ACL) and 222-S laboratory. This report is intended as an annual report, not a completed work.

  15. Novel Method of Cell-Free In Vitro Synthesis of the Human Fibroblast Growth Factor 1 Gene

    Directory of Open Access Journals (Sweden)

    Peijun Zuo

    2010-01-01

    Full Text Available Recombinant DNA projects generally involve cell-based gene cloning. However, because template DNA is not always readily available, in vitro chemical synthesis of complete genes from DNA oligonucleotides is becoming the preferred method for cloning. This article describes a new, rapid procedure based on Taq polymerase for the precise assembly of DNA oligonucleotides to yield the complete human fibroblast growth factor 1 (FGF1 gene, which is 468 bp long and has a G+C content of 51.5%. The new method involved two steps: (1 the design of the DNA oligonucleotides to be assembled and (2 the assembly of multiple oligonucleotides by PCR to generate the whole FGF1 gene. The procedure lasted a total of only 2 days, compared with 2 weeks for the conventional procedure. This method of gene synthesis is expected to facilitate various kinds of complex genetic engineering projects that require rapid gene amplification, such as cell-free whole-DNA library construction, as well as the construction of new genes or genes that contain any mutation, restriction site, or DNA tag.

  16. Comparison of target labeling methods for use with Affymetrix GeneChips

    Directory of Open Access Journals (Sweden)

    Vernon Suzanne D

    2007-05-01

    Full Text Available Abstract Background Several different commercial one-cycle labeling kits are available for preparation of the target for use with the Affymetrix GeneChip platform. However, there have been no evaluations of these different kits to determine if comparable results were generated. We report on the cRNA target synthesis, labeling efficiency and hybridization results using the One-Cycle Target Labeling Assay™ (Affymetrix, the BioArray RNA Amplification and Labeling System™ (Enzo Life Sciences, and the Superscript RNA Amplification System (Invitrogen Life Technologies. Results The only notable difference between kits was in the yield of cRNA target synthesized during in vitro transcription, where the BioArray assay had to be repeated several times in order to have sufficient target. However, each kit resulted in comparable signal and detection calls when hybridized to the Affymetrix GeneChip. Conclusion These 3 one-cycle labeling kits produce comparable hybridization results. This provides users with several kit options and flexibility when using the Affymetrix system.

  17. Fusion of the Dhfr/Mtx and IR/MAR gene amplification methods produces a rapid and efficient method for stable recombinant protein production.

    Directory of Open Access Journals (Sweden)

    Chiemi Noguchi

    Full Text Available Amplification of the dihydrofolate reductase gene (Dhfr by methotrexate (Mtx exposure is commonly used for recombinant protein expression in Chinese hamster ovary (CHO cells. However, this method is both time- and labor-intensive, and the high-producing cells that are generated are frequently unstable in culture. Another gene amplification method is based on using a plasmid bearing a mammalian replication initiation region (IR and a matrix attachment region (MAR, which result in the spontaneous initiation of gene amplification in transfected cells. The IR/MAR and Dhfr/Mtx methods of gene amplification are based on entirely different principles. In this study, we combine these two methods to yield a novel method, termed the IR/MAR-Dhfr fusion method, which was used to express three proteins, the Fc receptor, GFP, and recombinant antibody. The fusion method resulted in a dramatic increase in expression of all three proteins in two CHO sub-lines, DXB-11, and DG44. The IR/MAR-Dhfr fusion amplified the genes rapidly and efficiently, and produced larger amounts of antibody than the Dhfr/Mtx or IR/MAR methods alone. While the amplified structure produced by the Dhfr/Mtx method was highly unstable, and the antibody production rate rapidly decreased with the culture time of the cells, the IR/MAR-Dhfr fusion method resulted in stable amplification and generated clonal cells that produced large amounts of antibody protein over a long period of time. In summary, the novel IR/MAR-Dhfr fusion method enables isolation of stable cells that produce larger amounts of a target recombinant protein more rapidly and easily than either the Dhfr/Mtx or IR/MAR methods alone.

  18. Fusion of the Dhfr/Mtx and IR/MAR gene amplification methods produces a rapid and efficient method for stable recombinant protein production.

    Science.gov (United States)

    Noguchi, Chiemi; Araki, Yoshio; Miki, Daisuke; Shimizu, Noriaki

    2012-01-01

    Amplification of the dihydrofolate reductase gene (Dhfr) by methotrexate (Mtx) exposure is commonly used for recombinant protein expression in Chinese hamster ovary (CHO) cells. However, this method is both time- and labor-intensive, and the high-producing cells that are generated are frequently unstable in culture. Another gene amplification method is based on using a plasmid bearing a mammalian replication initiation region (IR) and a matrix attachment region (MAR), which result in the spontaneous initiation of gene amplification in transfected cells. The IR/MAR and Dhfr/Mtx methods of gene amplification are based on entirely different principles. In this study, we combine these two methods to yield a novel method, termed the IR/MAR-Dhfr fusion method, which was used to express three proteins, the Fc receptor, GFP, and recombinant antibody. The fusion method resulted in a dramatic increase in expression of all three proteins in two CHO sub-lines, DXB-11, and DG44. The IR/MAR-Dhfr fusion amplified the genes rapidly and efficiently, and produced larger amounts of antibody than the Dhfr/Mtx or IR/MAR methods alone. While the amplified structure produced by the Dhfr/Mtx method was highly unstable, and the antibody production rate rapidly decreased with the culture time of the cells, the IR/MAR-Dhfr fusion method resulted in stable amplification and generated clonal cells that produced large amounts of antibody protein over a long period of time. In summary, the novel IR/MAR-Dhfr fusion method enables isolation of stable cells that produce larger amounts of a target recombinant protein more rapidly and easily than either the Dhfr/Mtx or IR/MAR methods alone.

  19. Germline Transgenic Methods for Tracking Cells and Testing Gene Function during Regeneration in the Axolotl

    Science.gov (United States)

    Khattak, Shahryar; Schuez, Maritta; Richter, Tobias; Knapp, Dunja; Haigo, Saori L.; Sandoval-Guzmán, Tatiana; Hradlikova, Kristyna; Duemmler, Annett; Kerney, Ryan; Tanaka, Elly M.

    2013-01-01

    The salamander is the only tetrapod that regenerates complex body structures throughout life. Deciphering the underlying molecular processes of regeneration is fundamental for regenerative medicine and developmental biology, but the model organism had limited tools for molecular analysis. We describe a comprehensive set of germline transgenic strains in the laboratory-bred salamander Ambystoma mexicanum (axolotl) that open up the cellular and molecular genetic dissection of regeneration. We demonstrate tissue-dependent control of gene expression in nerve, Schwann cells, oligodendrocytes, muscle, epidermis, and cartilage. Furthermore, we demonstrate the use of tamoxifen-induced Cre/loxP-mediated recombination to indelibly mark different cell types. Finally, we inducibly overexpress the cell-cycle inhibitor p16INK4a, which negatively regulates spinal cord regeneration. These tissue-specific germline axolotl lines and tightly inducible Cre drivers and LoxP reporter lines render this classical regeneration model molecularly accessible. PMID:24052945

  20. Systematic hybrid LOH: a new method to reduce false positives and negatives during screening of yeast gene deletion libraries

    DEFF Research Database (Denmark)

    Alvaro, D.; Sunjevaric, I.; Reid, R. J.

    2006-01-01

    We have developed a new method, systematic hybrid loss of heterozygosity, to facilitate genomic screens utilizing the yeast gene deletion library. Screening is performed using hybrid diploid strains produced through mating the library haploids with strains from a different genetic background...... mating a library gene deletion haploid to such a conditional centromere strain, which corresponds to the chromosome carrying the gene deletion, loss of heterozygosity (LOH) at the gene deletion locus can be generated in these otherwise hybrid diploids. The use of hybrid diploid strains permits...... complementation of any spurious recessive mutations in the library strain, facilitating attribution of the observed phenotype to the documented gene deletion and dramatically reducing false positive results commonly obtained in library screens. The systematic hybrid LOH method can be applied to virtually any...

  1. First report on interferon related developmental regulator-1 from Macrobrachium rosenbergii: bioinformatic analysis and gene expression.

    Science.gov (United States)

    Arockiaraj, Jesu; Easwvaran, Sarasvathi; Vanaraja, Puganeshwaran; Singh, Arun; Othman, Rofina Yasmin; Bhassu, Subha

    2012-05-01

    This study reports the first full length gene of interferon related developmental regulator-1 (designated as MrIRDR-1), identified from the transcriptome of Macrobrachium rosenbergii. The complete gene sequence of the MrIRDR-1 is 2459 base pair long with an open reading frame of 1308 base pairs and encoding a predicted protein of 436 amino acids with a calculated molecular mass of 48 kDa. The MrIRDR-1 protein contains a long interferon related developmental regulator super family domain between 30 and 330. The mRNA expressions of MrIRDR-1 in healthy and the infectious hypodermal and hematopoietic necrosis virus (IHHNV) infected M. rosenbergii were examined using qRT-PCR. The MrIRDR-1 is highly expressed in hepatopancreas along with all other tissues (walking leg, gills, muscle, haemocyte, pleopods, brain, stomach, intestine and eye stalk). After IHHNV infection, the expression is highly upregulated in hepatopancreas. This result indicates an important role of MrIRDR-1 in prawn defense system.

  2. Prenatal Diagnosis of 45,X/46,XX Mosaicism with Presence of SRY Gene. A Case Report

    Directory of Open Access Journals (Sweden)

    Pedro Alí Díaz-Véliz Jiménez

    2013-10-01

    Full Text Available The most common karyotype of the Turner syndrome is 45,X, although it may occur as mosaic 45,X/46,XX. In the Provincial Medical Genetics Center, a 42-year-old pregnant woman underwent an amniocentesis which led to the detection of mosaic Turner Syndrome (45,X/46,XX. A male was diagnosed through ultrasound and a sample of amniotic fluid was sent to the National Medical Genetics Center to confirm it. A study of the SRY gene was completed and the result was positive. The patient decided to terminate the pregnancy. The pathology report showed a fetal corpse of 25, 3 weeks of gestation, with penis and morphologically normal scrotal sacs, presenting alterations by cysts and hypoplasia of the prostate and seminal vesicles as well as testicular absence. In the literature, cases of XX males are considered uncommon while those combining a mosaic 45, X/46, XX with a SRY gene are less addressed; and therein lies the importance of this case. This article presents the results of a prenatal diagnosis of this rare chromosomal aberration.

  3. Rapid detection of SNP (c.309T>G in the MDM2 gene by the Duplex SmartAmp method.

    Directory of Open Access Journals (Sweden)

    Yasuaki Enokida

    Full Text Available BACKGROUND: Genetic polymorphisms in the human MDM2 gene are suggested to be a tumor susceptibility marker and a prognostic factor for cancer. It has been reported that a single nucleotide polymorphism (SNP c.309T>G in the MDM2 gene attenuates the tumor suppressor activity of p53 and accelerates tumor formation in humans. METHODOLOGY: In this study, to detect the SNP c.309T>G in the MDM2 gene, we have developed a new SNP detection method, named "Duplex SmartAmp," which enabled us to simultaneously detect both 309T and 309G alleles in one tube. To develop this new method, we introduced new primers i.e., nBP and oBPs, as well as two different fluorescent dyes that separately detect those genetic polymorphisms. RESULTS AND CONCLUSIONS: By the Duplex SmartAmp method, the genetic polymorphisms of the MDM2 gene were detected directly from a small amount of genomic DNA or blood samples. We used 96 genomic DNA and 24 blood samples to validate the Duplex SmartAmp by comparison with results of the conventional PCR-RFLP method; consequently, the Duplex SmartAmp results agreed totally with those of the PCR-RFLP method. Thus, the new SNP detection method is considered useful for detecting the SNP c.309T>G in the MDM2 gene so as to judge cancer susceptibility against some cellular stress in the clinical setting, and also to handle a large number of samples and enable rapid clinical diagnosis.

  4. Short report: polymorphisms in the chloroquine resistance transporter gene in Plasmodium falciparum isolates from Lombok, Indonesia.

    Science.gov (United States)

    Huaman, Maria Cecilia; Yoshinaga, Kazumi; Suryanatha, Aan; Suarsana, Nyoman; Kanbara, Hiroji

    2004-07-01

    The polymorphisms in the Plasmodium falciparum multidrug resistance 1 (pfmdr1) and P. falciparum chloroquine resistance transporter (pfcrt) genes, which are associated with chloroquine resistance, were examined in 48 P. falciparum isolates from uncomplicated malaria patients from the West Lombok District in Indonesia. The point mutation N86Y in pfmdr1 was present in 35.4% of the isolates and mutation K76T in pfcrt was found in all but one of the samples studied. Identified pfcrt haplotypes were mainly identical to the Papua New Guinea type S(agt)VMNT (42 of 48, 87.5%), and a few isolates had the Southeast Asia type CVIET (5 of 48, 10.4%). Moreover, one P. falciparum isolate harbored the K76N mutation, giving rise to the haplotype CVMNN, which was not previously reported in field isolates. Our findings suggest that chloroquine resistance in this area might have the same origin as in Papua New Guinea.

  5. Genealogy-based methods for inference of historical recombination and gene flow and their application in Saccharomyces cerevisiae.

    Science.gov (United States)

    Jenkins, Paul A; Song, Yun S; Brem, Rachel B

    2012-01-01

    Genetic exchange between isolated populations, or introgression between species, serves as a key source of novel genetic material on which natural selection can act. While detecting historical gene flow from DNA sequence data is of much interest, many existing methods can be limited by requirements for deep population genomic sampling. In this paper, we develop a scalable genealogy-based method to detect candidate signatures of gene flow into a given population when the source of the alleles is unknown. Our method does not require sequenced samples from the source population, provided that the alleles have not reached fixation in the sampled recipient population. The method utilizes recent advances in algorithms for the efficient reconstruction of ancestral recombination graphs, which encode genealogical histories of DNA sequence data at each site, and is capable of detecting the signatures of gene flow whose footprints are of length up to single genes. Further, we employ a theoretical framework based on coalescent theory to test for statistical significance of certain recombination patterns consistent with gene flow from divergent sources. Implementing these methods for application to whole-genome sequences of environmental yeast isolates, we illustrate the power of our approach to highlight loci with unusual recombination histories. By developing innovative theory and methods to analyze signatures of gene flow from population sequence data, our work establishes a foundation for the continued study of introgression and its evolutionary relevance.

  6. Involvement of the BDNF gene in loneliness in adolescence: a report of opposite gene effects in boys and girls.

    Directory of Open Access Journals (Sweden)

    Maaike Verhagen

    Full Text Available Previous research has shown that loneliness has a heritable component and that genes within the serotonin-, dopamine-, and oxytocin systems are related to loneliness in adolescence. In the present study, the relation between the BDNF Val66Met polymorphism and loneliness in adolescent boys and girls was examined in a longitudinal study spanning five annual waves (N = 305. Latent growth curve modeling (LGCM was used to examine the baseline level and the change in loneliness over time. The main finding was that the BDNF gene was not related to loneliness in the total sample. A BDNF by sex interaction was found, in that Met carrying girls had the highest levels of loneliness at baseline, whereas in boys the ValVal genotype was related to higher levels of loneliness. Our results underline the importance of sex-stratified analyses when examining effects of the BDNF genotype and the necessity of conducting gene studies to intermediate phenotypes of loneliness.

  7. Detection of estrogenic activity in sediment-associated compounds using in vitro reporter gene assays.

    Science.gov (United States)

    Legler, Juliette; Dennekamp, Martine; Vethaak, A Dick; Brouwer, Abraham; Koeman, Jan H; van der Burg, Bart; Murk, Albertinka J

    2002-07-03

    Sediments may be the ultimate sink for persistent (xeno-)estrogenic compounds released into the aquatic environment. Sediment-associated estrogenic potency was measured with an estrogen receptor-mediated luciferase reporter gene (ER-CALUX) assay and compared with a recombinant yeast screen. The ER-CALUX assay was more sensitive to 17beta-estradiol (E2) than the recombinant yeast screen, with an EC50 of 6 pM E2 compared to 100 pM in the yeast screen. Yeast cells were unable to distinguish the anti-estrogens ICI 182,780 and (4-hydroxy)tamoxifen, which were agonistic in the yeast. Acetone-soluble fractions of hexane/acetone extracts of sediments showed higher estrogenic potency than hexane-soluble extracts in the ER-CALUX assay. Sediments obtained from industrialized areas such as the Port of Rotterdam showed the highest estrogenic potency of the 12 marine sediments tested (up to 40 pmol estradiol equivalents per gram sediment). The estrogenic activity of individual chemicals that can be found in sediments including: alkylphenol ethoxylates and carboxylates; phthalates; and pesticides, was tested. Increasing sidechain length of various nonylphenol ethoxylates resulted in decreased estrogenic activity. Of the phthalates tested, butylbenzylphthalate was the most estrogenic, though with a potency approximately 100,000 times less than E2. The organochlorine herbicides atrazine and simazine failed to induce reporter gene activity. As metabolic activation may be required to induce estrogenic activity, a metabolic transformation step was added to the ER-CALUX assay using incubation of compounds with liver microsomes obtained from PCB-treated rats. Results indicate that metabolites of E2, NP and bisphenol A were less active than the parent compounds, while metabolites of methoxychlor were more estrogenic following microsomal incubations.

  8. Aberrant DNA methylation of cancer-related genes in giant breast fibroadenoma: a case report

    Directory of Open Access Journals (Sweden)

    Orozco Javier I

    2011-10-01

    Full Text Available Abstract Introduction Giant fibroadenoma is an uncommon variant of benign breast lesions. Aberrant methylation of CpG islands in promoter regions is known to be involved in the silencing of genes (for example, tumor-suppressor genes and appears to be an early event in the etiology of breast carcinogenesis. Only hypermethylation of p16INK4a has been reported in non-giant breast fibroadenoma. In this particular case, there are no previously published data on epigenetic alterations in giant fibroadenomas. Our previous results, based on the analysis of 49 cancer-related CpG islands have confirmed that the aberrant methylation is specific to malignant breast tumors and that it is completely absent in normal breast tissue and breast fibroadenomas. Case presentation A 13-year-old Hispanic girl was referred after she had noted a progressive development of a mass in her left breast. On physical examination, a 10 × 10 cm lump was detected and axillary lymph nodes were not enlarged. After surgical removal the lump was diagnosed as a giant fibroadenoma. Because of the high growth rate of this benign tumor, we decided to analyze the methylation status of 49 CpG islands related to cell growth control. We have identified the methylation of five cancer-related CpG islands in the giant fibroadenoma tissue: ESR1, MGMT, WT-1, BRCA2 and CD44. Conclusion In this case report we show for the first time the methylation analysis of a giant fibroadenoma. The detection of methylation of these five cancer-related regions indicates substantial epigenomic differences with non-giant fibroadenomas. Epigenetic alterations could explain the higher growth rate of this tumor. Our data contribute to the growing knowledge of aberrant methylation in breast diseases. In this particular case, there exist no previous data regarding the role of methylation in giant fibroadenomas, considered by definition as a benign breast lesion.

  9. Comparison of in vitro hormone activities of selected phthalates using reporter gene assays.

    Science.gov (United States)

    Shen, Ouxi; Du, Guizhen; Sun, Hong; Wu, Wei; Jiang, Yi; Song, Ling; Wang, Xinru

    2009-12-01

    Phthalates are widely used in the plastic industry and food packaging, imparting softness and flexibility to normally rigid plastic medical devices and children's toys. Even though phthalates display low general toxicity, there is increasing concern on the effects of endocrine system induced by some of phthalate compounds. The hormone activity of dibutyl phthalate (DBP), mono-n-butyl phthalate (MBP) and di-2-ethylhexyl phthalate (DEHP) were assessed using the luciferase reporter gene assays. The results showed that DBP, MBP and DEHP, not only exhibited potent antiandrogenic activity, with IC(50) value of 1.05x10(-6), 1.22x10(-7)M and exceeding 1x10(-4)M respectively, but also showed the androgenic activity with EC(50) value of 6.17x10(-6), 1.13x10(-5)M and exceeding 1x10(-4)M. We also found that all the three related chemicals possessed thyroid receptor (TR) antagonist activity with IC(50) of 1.31x10(-5), 2.77x10(-6)M and exceeding 1x10(-4)M respectively, and none showed TR agonist activity. These results indicate that TR might be the targets of industrial chemicals. In the ER mediate reporter gene assay, three chemicals showed no agonistic activity except for DBP, which appeared weakly estrogenic at the concentration of 1.0x10(-4)M. Together, the findings demonstrate that the three phthalates could simultaneously disrupt the function of two or more hormonal receptors. Therefore, these phthalates should be considered in risk assessments for human health.

  10. Development of the 5-HT2CR-Tango System Combined with an EGFP Reporter Gene.

    Science.gov (United States)

    Watanabe, Yoshihisa; Tsujimura, Atsushi; Aoki, Miku; Taguchi, Katsutoshi; Tanaka, Masaki

    2016-02-01

    The serotonin 2C receptor (5-HT2CR) is a G-protein-coupled receptor implicated in emotion, feeding, reward, and cognition. 5-HT2CRs are pharmacological targets for mental disorders and metabolic and reward system abnormalities, as alterations in 5-HT2CR expression, RNA editing, and SNPs are involved in these disturbances. To date, 5-HT2CR activity has mainly been measured by quantifying inositol phosphate production and intracellular Ca(2+) release, but these assays are not suitable for in vivo analysis. Here, we developed a 5-HT2CR-Tango assay system, a novel analysis tool of 5-HT2CR activity based on the G-protein-coupled receptor (GPCR)-arrestin interaction. With desensitization of activated 5-HT2CR by arrestin, this system converts the 5-HT2CR-arrestin interaction into EGFP reporter gene signal via the LexA transcriptional activation system. For validation of our system, we measured activity of two 5-HT2CR RNA-editing isoforms (INI and VGV) in HEK293 cells transfected with EGFP reporter gene. The INI isoform displayed both higher basal- and 5-HT-stimulated activities than the VGV isoform. Moreover, an inhibitory effect of 5-HT2CR antagonist SB242084 was also detected by 5-HT2CR-Tango system. This novel tool is useful for in vitro high-throughput targeted 5-HT2CR drug screening and can be applied to future in vivo brain function studies associated with 5-HT2CRs in transgenic animal models.

  11. Automated reporter quantification in vivo: high-throughput screening method for reporter-based assays in zebrafish.

    Directory of Open Access Journals (Sweden)

    Steven L Walker

    Full Text Available Reporter-based assays underlie many high-throughput screening (HTS platforms, but most are limited to in vitro applications. Here, we report a simple whole-organism HTS method for quantifying changes in reporter intensity in individual zebrafish over time termed, Automated Reporter Quantification in vivo (ARQiv. ARQiv differs from current "high-content" (e.g., confocal imaging-based whole-organism screening technologies by providing a purely quantitative data acquisition approach that affords marked improvements in throughput. ARQiv uses a fluorescence microplate reader with specific detection functionalities necessary for robust quantification of reporter signals in vivo. This approach is: 1 Rapid; achieving true HTS capacities (i.e., >50,000 units per day, 2 Reproducible; attaining HTS-compatible assay quality (i.e., Z'-factors of ≥0.5, and 3 Flexible; amenable to nearly any reporter-based assay in zebrafish embryos, larvae, or juveniles. ARQiv is used here to quantify changes in: 1 Cell number; loss and regeneration of two different fluorescently tagged cell types (pancreatic beta cells and rod photoreceptors, 2 Cell signaling; relative activity of a transgenic Notch-signaling reporter, and 3 Cell metabolism; accumulation of reactive oxygen species. In summary, ARQiv is a versatile and readily accessible approach facilitating evaluation of genetic and/or chemical manipulations in living zebrafish that complements current "high-content" whole-organism screening methods by providing a first-tier in vivo HTS drug discovery platform.

  12. Protein method for investigating mercuric reductase gene expression in aquatic environments.

    Science.gov (United States)

    Ogunseitan, O A

    1998-02-01

    A colorimetric assay for NADPH-dependent, mercuric ion-specific oxidoreductase activity was developed to facilitate the investigation of mercuric reductase gene expression in polluted aquatic ecosystems. Protein molecules extracted directly from unseeded freshwater and samples seeded with Pseudomonas aeruginosa PU21 (Rip64) were quantitatively assayed for mercuric reductase activity in microtiter plates by stoichiometric coupling of mercuric ion reduction to a colorimetric redox chain through NADPH oxidation. Residual NADPH was determined by titration with phenazine methosulfate-catalyzed reduction of methyl thiazolyl tetrazolium to produce visible formazan. Spectrophotometric determination of formazan concentration showed a positive correlation with the amount of NADPH remaining in the reaction mixture (r2 = 0.99). Mercuric reductase activity in the protein extracts was inversely related to the amount of NADPH remaining and to the amount of formazan produced. A qualitative nitrocellulose membrane-based version of the method was also developed, where regions of mercuric reductase activity remained colorless against a stained-membrane background. The assay detected induced mercuric reductase activity from 10(2) CFU, and up to threefold signal intensity was detected in seeded freshwater samples amended with mercury compared to that in mercury-free samples. The efficiency of extraction of bacterial proteins from the freshwater samples was (97 +/- 2)% over the range of population densities investigated (10(2) to 10(8) CFU/ml). The method was validated by detection of enzyme activity in protein extracts of water samples from a polluted site harboring naturally occurring mercury-resistant bacteria. The new method is proposed as a supplement to the repertoire of molecular techniques available for assessing specific gene expression in heterogeneous microbial communities impacted by mercury pollution.

  13. Two-Way Gene Interaction From Microarray Data Based on Correlation Methods

    OpenAIRE

    Alavi Majd, Hamid; Talebi, Atefeh; Gilany, Kambiz; Khayyer, Nasibeh

    2016-01-01

    Background Gene networks have generated a massive explosion in the development of high-throughput techniques for monitoring various aspects of gene activity. Networks offer a natural way to model interactions between genes, and extracting gene network information from high-throughput genomic data is an important and difficult task. Objectives The purpose of this study is to construct a two-way gene network based on parametric and nonparametric correlation coefficients. The first step in const...

  14. An improved method for scoring protein-protein interactions using semantic similarity within the gene ontology

    Directory of Open Access Journals (Sweden)

    Jain Shobhit

    2010-11-01

    Full Text Available Abstract Background Semantic similarity measures are useful to assess the physiological relevance of protein-protein interactions (PPIs. They quantify similarity between proteins based on their function using annotation systems like the Gene Ontology (GO. Proteins that interact in the cell are likely to be in similar locations or involved in similar biological processes compared to proteins that do not interact. Thus the more semantically similar the gene function annotations are among the interacting proteins, more likely the interaction is physiologically relevant. However, most semantic similarity measures used for PPI confidence assessment do not consider the unequal depth of term hierarchies in different classes of cellular location, molecular function, and biological process ontologies of GO and thus may over-or under-estimate similarity. Results We describe an improved algorithm, Topological Clustering Semantic Similarity (TCSS, to compute semantic similarity between GO terms annotated to proteins in interaction datasets. Our algorithm, considers unequal depth of biological knowledge representation in different branches of the GO graph. The central idea is to divide the GO graph into sub-graphs and score PPIs higher if participating proteins belong to the same sub-graph as compared to if they belong to different sub-graphs. Conclusions The TCSS algorithm performs better than other semantic similarity measurement techniques that we evaluated in terms of their performance on distinguishing true from false protein interactions, and correlation with gene expression and protein families. We show an average improvement of 4.6 times the F1 score over Resnik, the next best method, on our Saccharomyces cerevisiae PPI dataset and 2 times on our Homo sapiens PPI dataset using cellular component, biological process and molecular function GO annotations.

  15. A novel mutation in the ADA gene causing severe combined immunodeficiency in an Arab patient: a case report

    Directory of Open Access Journals (Sweden)

    Hellani Ali

    2009-04-01

    Full Text Available Abstract Introduction About 20% of the cases of human severe combined immunodeficiency are the result of the child being homozygous for defective genes encoding the enzyme adenosine deaminase. To our knowledge, the mutation pattern in Arab patients with severe combined immunodeficiency has never been reported previously. Case presentation A 14-month-old Arab boy had clinical features typical of severe combined immunodeficiency. His clinical picture and flow cytometric analysis raised the diagnosis of adenosine deaminase deficiency and prompted us to screen the adenosine deaminase gene for mutation(s. We detected a novel mutation in exon 9 of the adenosine deaminase gene (p.Arg282>Gln, which we believe is the cause of the severe combined immunodeficiency phenotype observed in our patient. Conclusion This is the first report of adenosine deaminase mutation in an Arab patient with severe combined immunodeficiency due to a novel pathogenic mutation in the adenosine deaminase gene.

  16. SNP analysis of the inter-alpha-trypsin inhibitor family heavy chain-related protein (IHRP gene by a fluorescence-adapted SSCP method

    Directory of Open Access Journals (Sweden)

    Taniyama Matsuo

    2002-07-01

    Full Text Available Abstract Background Single-nucleotide polymorphisms (SNPs are considered to be useful polymorphic markers for genetic studies of polygenic traits. Single-stranded conformational polymorphism (SSCP analysis has been widely applied to detect SNPs, including point mutations in cancer and congenital diseases. In this study, we describe an application of the fluorescent labeling of PCR fragments using a fluorescent-adapted primer for SSCP analysis as a novel method. Methods Single-nucleotide polymorphisms (SNPs of the inter-alpha-trypsin inhibitor family heavy chain-related protein (IHRP gene were analyzed using a fluorescence-adapted SSCP method. The method was constructed from two procedures: 1 a fluorescent labeling reaction of PCR fragments using fluorescence-adapted primers in a single tube, and 2 electrophoresis on a non-denaturing polyacrylamide gel. Results This method was more economical and convenient than the single-stranded conformational polymorphism (SSCP methods previously reported in the detection of the labeled fragments obtained. In this study, eight SNPs of the IHRP gene were detected by the fluorescence-adapted SSCP. One of the SNPs was a new SNP resulting in an amino acid substitution, while the other SNPs have already been reported in the public databases. Six SNPs of the IHRP were associated with two haplotypes. Conclusions The fluorescence-adapted SSCP was useful for detecting and genotyping SNPs.

  17. Counterselection method based on conditional silencing of antitoxin genes in Escherichia coli.

    Science.gov (United States)

    Tsukuda, Miyuki; Nakashima, Nobutaka; Miyazaki, Kentaro

    2015-11-01

    Counterselection is a genetic engineering technique to eliminate specific genetic fragments containing selectable marker genes. Although the technique is widely used in bacterial genome engineering and plasmid curing experiments, the repertoire of the markers usable in Escherichia coli is limited. Here we developed a novel counterselection method in E. coli based on antisense RNA (asRNA) technology directed against toxin-antitoxin (TA) modules. Under normal conditions, excess antitoxin neutralizes its cognate toxin and thus the module is stably maintained in the genome. We hypothesised that repression of an antitoxin gene would perturb cell growth due to the toxin being released. We designed asRNAs corresponding to all 19 type II antitoxins encoded in the E. coli genome. asRNAs were then conditionally expressed; repression of MqsA in the MqsR/MqsA module had the greatest inhibitory effect, followed by RnlB in the RnlA/RnlB module. The utility of asRNA(MqsA) as a counterselection marker was demonstrated by efficient plasmid curing and strain improvement experiments.

  18. A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes.

    Science.gov (United States)

    Wheeler, Nicole E; Barquist, Lars; Kingsley, Robert A; Gardner, Paul P

    2016-12-01

    Next generation sequencing technologies have provided us with a wealth of information on genetic variation, but predicting the functional significance of this variation is a difficult task. While many comparative genomics studies have focused on gene flux and large scale changes, relatively little attention has been paid to quantifying the effects of single nucleotide polymorphisms and indels on protein function, particularly in bacterial genomics. We present a hidden Markov model based approach we call delta-bitscore (DBS) for identifying orthologous proteins that have diverged at the amino acid sequence level in a way that is likely to impact biological function. We benchmark this approach with several widely used datasets and apply it to a proof-of-concept study of orthologous proteomes in an investigation of host adaptation in Salmonella enterica We highlight the value of the method in identifying functional divergence of genes, and suggest that this tool may be a better approach than the commonly used dN/dS metric for identifying functionally significant genetic changes occurring in recently diverged organisms. A program implementing DBS for pairwise genome comparisons is freely available at: https://github.com/UCanCompBio/deltaBS CONTACT: nicole.wheeler@pg.canterbury.ac.nz or lars.barquist@uni-wuerzburg.deSupplementary information: Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

  19. Development of a screening method for R gene specificity in wheat

    DEFF Research Database (Denmark)

    Kronbak, Remy; Yin, Chang; Hovmøller, Mogens Støvring;

    2011-01-01

    Crops and their wild relatives contain several hundred genes that confer disease resistance (R genes). This pool of genes represents a vast resource for breeding resistant crops, but the identification of R genes is lengthy and laborious by classical genetic approaches. Thus, the lack of knowledge...... about R genes, and the pests individual R genes may provide resistance against, is a major bottleneck in plant breeding. Recently our cooperators from KU found that R genes mutated in specific domains act as dominant negatives conferring susceptibility, when introduced into plants resistant....... The yellow rust R gene Yr10 will be transformed into Bobwhite, and transgenic plants tested for resistance against an appropriate avirulent P. striiformis isolate harboring the AvrYr10 gene. Regenerated transgenic plants will be re-transformed with a mutated form of Yr10. The host-pathogen phenotype...

  20. No effect of high fat diet-induced obesity on spontaneous reporter gene mutations in gpt delta mice.

    Science.gov (United States)

    Takasu, Shinji; Ishii, Yuji; Matsushita, Kohei; Kuroda, Ken; Kijima, Aki; Kodama, Yukio; Ogawa, Kumiko; Umemura, Takashi

    2014-01-01

    A large number of epidemiological studies have demonstrated that obesity is a risk factor for several human cancers. Several animal studies using rodents with diet-induced or genetic obesity have also demonstrated that obesity can promote tumor development. However, the effects of obesity on the early stages of carcinogenesis, and especially on the spontaneous occurrence of somatic gene mutations, remain unclear. To investigate the effects of obesity on the rate of spontaneous gene mutations, we performed reporter gene mutation assays in liver, kidney, and colon, organs in which obesity appears to be associated with cancer development on the basis of epidemiological or animal studies, in mice with high fat diet (HFD)-induced obesity. Six-week-old male and female C57BL/6 gpt delta mice were fed HFD or standard diet (STD) for 13 or 26 weeks. At the end of the experiments, reporter gene mutation assays of liver, kidney, and colon were performed. Final body weights and serum leptin levels of male and female mice fed HFD for 13 or 26 weeks were significantly increased compared with corresponding STD-fed groups. Reporter gene mutation assays of liver, kidney, and colon revealed that there were no significant differences in gpt or Spi- mutant frequencies between STD- and HFD-fed mice in either the 13-week or 26-week groups. These results indicate that HFD treatment and consequent obesity does not appear to influence the spontaneous occurrence of somatic gene mutations.

  1. Reporting of embryo transfer methods in IVF research: a cross-sectional study.

    Science.gov (United States)

    Gambadauro, Pietro; Navaratnarajah, Ramesan

    2015-02-01

    The reporting of embryo transfer methods in IVF research was assessed through a cross-sectional analysis of randomized controlled trials (RCTs) published between 2010 and 2011. A systematic search identified 325 abstracts; 122 RCTs were included in the study. Embryo transfer methods were described in 42 out of 122 articles (34%). Catheters (32/42 [76%]) or ultrasound guidance (31/42 [74%]) were most frequently mentioned. Performer 'blinding' (12%) or technique standardization (7%) were seldom reported. The description of embryo transfer methods was significantly more common in trials published by journals with lower impact factor (less than 3, 39.6%; 3 or greater, 21.5%; P = 0.037). Embryo transfer methods were reported more often in trials with pregnancy as the main end-point (33% versus 16%) or with positive outcomes (37.8% versus 25.0%), albeit not significantly. Multivariate logistic regression confirmed that RCTs published in higher impact factor journals are less likely to describe embryo transfer methods (OR 0.371; 95% CI 0.143 to 0.964). Registered trials, trials conducted in an academic setting, multi-centric studies or full-length articles were not positively associated with embryo transfer methods reporting rate. Recent reports of randomized IVF trials rarely describe embryo transfer methods. The under-reporting of research methods might compromise reproducibility and suitability for meta-analysis.

  2. In silico method for modelling metabolism and gene product expression at genome scale

    Energy Technology Data Exchange (ETDEWEB)

    Lerman, Joshua A.; Hyduke, Daniel R.; Latif, Haythem; Portnoy, Vasiliy A.; Lewis, Nathan E.; Orth, Jeffrey D.; Rutledge, Alexandra C.; Smith, Richard D.; Adkins, Joshua N.; Zengler, Karsten; Palsson, Bernard O.

    2012-07-03

    Transcription and translation use raw materials and energy generated metabolically to create the macromolecular machinery responsible for all cellular functions, including metabolism. A biochemically accurate model of molecular biology and metabolism will facilitate comprehensive and quantitative computations of an organism's molecular constitution as a function of genetic and environmental parameters. Here we formulate a model of metabolism and macromolecular expression. Prototyping it using the simple microorganism Thermotoga maritima, we show our model accurately simulates variations in cellular composition and gene expression. Moreover, through in silico comparative transcriptomics, the model allows the discovery of new regulons and improving the genome and transcription unit annotations. Our method presents a framework for investigating molecular biology and cellular physiology in silico and may allow quantitative interpretation of multi-omics data sets in the context of an integrated biochemical description of an organism.

  3. In vitro evaluation of herpes simplex virus type 1 thymidine kinase reporter system in dynamic studies of transcriptional gene regulation

    Energy Technology Data Exchange (ETDEWEB)

    Hsieh, C.-H. [Department of Medical Radiation Technology and Institute of Radiological Sciences, National Yang-Ming University, Taipei 112, Taiwan (China); Liu, R.-S. [Department of Medical Radiation Technology and Institute of Radiological Sciences, National Yang-Ming University, Taipei 112, Taiwan (China); National Yang-Ming University Medical School and National PET/Cyclotron Center, Taipei Veterans General Hospital, Taipei 112, Taiwan (China); Wang, H.-E. [Department of Medical Radiation Technology and Institute of Radiological Sciences, National Yang-Ming University, Taipei 112, Taiwan (China); Hwang, J.-J. [Department of Medical Radiation Technology and Institute of Radiological Sciences, National Yang-Ming University, Taipei 112, Taiwan (China); Deng, W.-P. [Institute of Biomedical Material, Taipei Medical University, Taipei 112, Taiwan (China); Chen, J.-C. [Department of Medical Radiation Technology and Institute of Radiological Sciences, National Yang-Ming University, Taipei 112, Taiwan (China); Chen, F.-D. [Department of Medical Radiation Technology and Institute of Radiological Sciences, National Yang-Ming University, Taipei 112, Taiwan (China) and Institute of Radiological Sciences, Central Taiwan University of Science and Technology Taichung 112, Taiwan (China)]. E-mail: d49220009@ym.edu.tw

    2006-07-15

    The herpes simplex virus type 1 thymidine kinase (HSV1-TK) reporter system is being used to directly and indirectly monitor therapeutic gene expression, immune cell trafficking and protein-protein interactions in various living animals. However, the issues of HSV1-TK enzyme stability in living cells and whether this reporter system is optimal for dynamic studies of gene expression events in genetic imaging have not be addressed. The purpose of the present study was to evaluate the application of this reporter system in dynamic studies of transcriptional gene regulation. To achieve this purpose, we established two tetracycline-inducible murine sarcoma cell lines, tetracycline-turn-off HSV1-tk-expressing cell line (NG4TL4/tet-off-HSV1-tk) and tetracycline-turn-off Luc-expressing cell line (NG4TL4/tet-off-Luc), to create an artificially regulated gene expression model in vitro. The dynamic transcriptional events mediating a series of doxycycline (Dox) inductions were monitored by HSV1-TK or by the firefly luciferase reporter gene using HSV1-TK enzyme activity assay and luciferase assay, respectively. The results of dynamic gene expression studies showed that the luciferase gene is an optimal reporter gene for monitoring short-timescale, dynamic transcriptional events mediating a series of Dox inductions, whereas the HSV1-tk is not optimal to achieve this purpose. Furthermore, the enzyme half-life of HSV1-TK in NG4TL4 cells is about 35 h after cycloheximide-induced protein inhibition. On the other hand, the results of an efflux assay of [{sup 131}I] FIAU and [{sup 3}H] GCV revealed that the molecular probe phosphorylated by HSV1-TK can be trapped long term within HSV1-TK stably transformed cells. Therefore, a long half-life radionuclide is not suitable for dynamic gene expression studies. Based on these results, we suggest that the HSV1-TK reporter system is not optimal for monitoring short-timescale dynamic processes such as kinetic gene expression controlled by

  4. Inference of Gene Flow in the Process of Speciation: An Efficient Maximum-Likelihood Method for the Isolation-with-Initial-Migration Model

    Science.gov (United States)

    Costa, Rui J.; Wilkinson-Herbots, Hilde

    2017-01-01

    The isolation-with-migration (IM) model is commonly used to make inferences about gene flow during speciation, using polymorphism data. However, it has been reported that the parameter estimates obtained by fitting the IM model are very sensitive to the model’s assumptions—including the assumption of constant gene flow until the present. This article is concerned with the isolation-with-initial-migration (IIM) model, which drops precisely this assumption. In the IIM model, one ancestral population divides into two descendant subpopulations, between which there is an initial period of gene flow and a subsequent period of isolation. We derive a very fast method of fitting an extended version of the IIM model, which also allows for asymmetric gene flow and unequal population sizes. This is a maximum-likelihood method, applicable to data on the number of segregating sites between pairs of DNA sequences from a large number of independent loci. In addition to obtaining parameter estimates, our method can also be used, by means of likelihood-ratio tests, to distinguish between alternative models representing the following divergence scenarios: (a) divergence with potentially asymmetric gene flow until the present, (b) divergence with potentially asymmetric gene flow until some point in the past and in isolation since then, and (c) divergence in complete isolation. We illustrate the procedure on pairs of Drosophila sequences from ∼30,000 loci. The computing time needed to fit the most complex version of the model to this data set is only a couple of minutes. The R code to fit the IIM model can be found in the supplementary files of this article. PMID:28193727

  5. A comparative analysis of green fluorescent protein and -glucuronidase protein-encoding genes as a reporter system for studying the temporal expression profiles of promoters

    Indian Academy of Sciences (India)

    P Kavita; Pradeep Kumar Burma

    2008-09-01

    The assessment of activity of promoters has been greatly facilitated by the use of reporter genes. However, the activity as assessed by reporter gene is a reflection of not only promoter strength, but also that of the stability of the mRNA and the protein encoded by the reporter gene. While a stable reporter gene product is an advantage in analysing activities of weak promoters, it becomes a major limitation for understanding temporal expression patterns of a promoter, as the reporter product persists even after the activity of the promoter ceases. In the present study we undertook a comparative analysis of two reporter genes, -glucuronidase (gus) and green fluorescent protein (sgfp), for studying the temporal expression pattern of tapetum-specific promoters A9 (Arabidopsis thaliana) and TA29 (Nicotiana tabacum). The activity of A9 and TA29 promoters as assessed by transcript profiles of the reporter genes (gus or sgfp) remained the same irrespective of the reporter gene used. However, while the deduced promoter activity using gus was extended temporally beyond the actual activity of the promoter, sgfp as recorded through its fluorescence correlated better with the transcription profile. Our results thus demonstrate that sgfp is a better reporter gene compared to gus for assessment of temporal activity of promoters. Although several earlier reports have commented on the possible errors in deducing temporal activities of promoters using GUS as a reporter protein, we experimentally demonstrate the advantage of using reporter genes such as gfp for analysis of temporal expression patterns.

  6. Key Considerations and Methods in the Study of Gene-Environment Interactions.

    Science.gov (United States)

    Simon, Paul H G; Sylvestre, Marie-Pierre; Tremblay, Johanne; Hamet, Pavel

    2016-08-01

    With increased involvement of genetic data in most epidemiological investigations, gene-environment (G × E) interactions now stand as a topic, which must be meticulously assessed and thoroughly understood. The level, mode, and outcomes of interactions between environmental factors and genetic traits have the capacity to modulate disease risk. These must, therefore, be carefully evaluated as they have the potential to offer novel insights on the "missing heritability problem", reaching beyond our current limitations. First, we review a definition of G × E interactions. We then explore how concepts such as the early manifestation of the genetic components of a disease, the heterogeneity of complex traits, the clear definition of epidemiological strata, and the effect of varying physiological conditions can affect our capacity to detect (or miss) G × E interactions. Lastly, we discuss the shortfalls of regression models to study G × E interactions and how other methods such as the ReliefF algorithm, pattern recognition methods, or the LASSO (Least Absolute Shrinkage and Selection Operator) method can enable us to more adequately model G × E interactions. Overall, we present the elements to consider and a path to follow when studying genetic determinants of disease in order to uncover potential G × E interactions.

  7. Comparison of Two Different PCR-based Methods for Detection of GAA Expansions in Frataxin Gene.

    Science.gov (United States)

    Entezam, Mona; Amirfiroozi, Akbar; Togha, Mansoureh; Keramatipour, Mohammad

    2017-02-01

    Expansion of GAA trinucleotide repeats is the molecular basis of Friedreich's ataxia (FRDA). Precise detection of the GAA expansion repeat in frataxin gene has always been a challenge. Different molecular methods have been suggested for detection of GAA expansion, including; short-PCR, long-PCR, Triplet repeat primed-PCR (TP-PCR) and southern blotting. The aim of study was to evaluate two PCR-based methods, TP-PCR and long-PCR, and to explore the use of TP-PCR accompanying with long-PCR for accurate genotyping of FRDA patients. Blood samples were collected from six Iranian patients suspected to FRDA, who referred to the Department of Medical Genetics at Tehran University of Medical Sciences during the year 2014. For one of these patients' four asymptomatic members of the family were also recruited for the analysis. DNA extraction was performed by two different methods. TP-PCR and long-PCR were carried out in all samples. The type of this study is assessment / investigation of methods. Using a combination of the above methods, the genotypes of all samples were confirmed as five homozygous mutants (expanded GAA repeats), two heterozygous and three homozygous normal (normal repeat size). The results obtained by TP-PCR are consistent with long-PCR results. The presence or absence of expanded alleles can be identified correctly by TP-PCR. Performing long-PCR and Fluorescent-long-PCR enables accurate genotyping in all samples. This approach is highly reliable. It could be successfully used for detection of GAA expansion repeats.

  8. A Method for Amplicon Deep Sequencing of Drug Resistance Genes in Plasmodium falciparum Clinical Isolates from India.

    Science.gov (United States)

    Rao, Pavitra N; Uplekar, Swapna; Kayal, Sriti; Mallick, Prashant K; Bandyopadhyay, Nabamita; Kale, Sonal; Singh, Om P; Mohanty, Akshaya; Mohanty, Sanjib; Wassmer, Samuel C; Carlton, Jane M

    2016-06-01

    A major challenge to global malaria control and elimination is early detection and containment of emerging drug resistance. Next-generation sequencing (NGS) methods provide the resolution, scalability, and sensitivity required for high-throughput surveillance of molecular markers of drug resistance. We have developed an amplicon sequencing method on the Ion Torrent PGM platform for targeted resequencing of a panel of six Plasmodium falciparum genes implicated in resistance to first-line antimalarial therapy, including artemisinin combination therapy, chloroquine, and sulfadoxine-pyrimethamine. The protocol was optimized using 12 geographically diverse P. falciparum reference strains and successfully applied to multiplexed sequencing of 16 clinical isolates from India. The sequencing results from the reference strains showed 100% concordance with previously reported drug resistance-associated mutations. Single-nucleotide polymorphisms (SNPs) in clinical isolates revealed a number of known resistance-associated mutations and other nonsynonymous mutations that have not been implicated in drug resistance. SNP positions containing multiple allelic variants were used to identify three clinical samples containing mixed genotypes indicative of multiclonal infections. The amplicon sequencing protocol has been designed for the benchtop Ion Torrent PGM platform and can be operated with minimal bioinformatics infrastructure, making it ideal for use in countries that are endemic for the disease to facilitate routine large-scale surveillance of the emergence of drug resistance and to ensure continued success of the malaria treatment policy.

  9. Validation and application of reporter gene assays for the determination of estrogenic and androgenic endocrine disruptor activity in sport supplements.

    Science.gov (United States)

    Plotan, Monika; Elliott, Christopher T; Oplatowska, Michalina; Connolly, Lisa

    2012-07-01

    Previously developed estrogen and androgen mammalian reporter gene assays (RGAs) were assessed for their potential use as a quantitative screening method in the detection of estrogenic and androgenic endocrine disruptors (EDs) in sport supplements. The validation of both RGAs coupled with dispersive solid phase extraction (dSPE) was performed in accordance with European Commission Decision EC/2002/6579 for biological screening methods. Decision limits (CCα) and detection capabilities (CCβ) were established for both the estrogen and androgen RGAs. All samples were compliant with CCα and CCβ in both bioassays. Recovery rates were 96 % for 17β-estradiol and 115 % for dihydrotestosterone as obtained in their corresponding RGA. Both estrogens and androgens were stable in samples for more than 3 weeks, when stored at -20 °C. Specificity, good repeatability (coefficients of variation (CV), 12-25 %), reproducibility and robustness of both bioassays were also observed. Four different ED modes of action were determined for estrogens and androgens in 53 sport supplements, using the validated RGAs. This study revealed that 89 % of the investigated sport supplements contained estrogenic EDs and 51 % contained androgenic compounds. In conclusion, both bioassays are suitable for sport supplement screening of estrogenic and androgenic EDs.

  10. Report of a novel mutation in the SLC26A2 gene found in a Colombian adult patient with diastrophic dysplasia

    Directory of Open Access Journals (Sweden)

    Tatiana Pineda

    2013-09-01

    Full Text Available Summary Background. Diastrophic dysplasia is an osteochondrodysplasia belonging to the group of dysplasias caused by mutations in the diastrophic dysplasia sulfate transporter. This sindrome is a micromelic dysplasia with multiple bone deformities of the hands, feet, knees and spine. Objective. Describe the first report of diastrophic displasia in Colombia Materials and methods. In this paper a Colombian adult patient with diastrophic dysplasia whose clinical diagnosis was confirmed at the molecular level is reported. Results. In this first report of diastrophic dysplasia in Colombia we found that the patient was compound heterozygote for the already reported Arg279Trp substitution and an unpublished mutation, a Ser157Thr substitution in the SLC26A2 gene. Conclusion. Bioinformatic analysis on the latter mutation suggested that it could correspond to a deleterious mutation because it is in a highly conserved domain of the sulfate transporter.

  11. Comparison of Two PCR Methods in determining the Methicillin-Resistant Gene in Coagulase-Negative Staphylococci

    Directory of Open Access Journals (Sweden)

    M. Bokaeian

    2016-09-01

    Full Text Available Aims: It is very important to detect the coagulase-negative Staphylococci, which produce the hospital infections. Being one of the most expensive and time-consuming stages before the polymerase chain reaction (PCR, DNA extraction is one of the primary stages of PCR. Then, it should be noticed that the elimination of the stage might save time and costs. The aim of this study was to compare two PCR methods including the method with the utilization of the extracted DNA with the extraction kit and the direct PCR method in the detection of the methicillin-resistant genes in the coagulase-negative Staphylococci. Materials & Methods: In the descriptive cross-sectional study, 135 Staphylococcus epidermidis and 88 Staphylococcus saprophyticus samples were studied, separated from blood, wounds, urinary catheter, and urine samples of patients hospitalized in the treatment centers of Zahedan. The direct PCR was done on the Staphylococcus saprophyticus and Staphylococcus epidermidis colonies. PCR with the extracted DNA was done for mecA and 16srDNA genes using the extraction kit, and the results were compared. Findings: In both methods, mecA and 16srDNA genes were successfully amplified in 310bp and 420bp related to Staphylococcus bacteria identifying gene and methicillin resistant gene, respectively. In addition, there were approximately the same band qualities. Conclusion: In order to save time and costs, the direct PCR method can be used to detect methicillin-resistant coagulase-negative Staphylococci.

  12. Methodological Reporting in Qualitative, Quantitative, and Mixed Methods Health Services Research Articles

    Science.gov (United States)

    Wisdom, Jennifer P; Cavaleri, Mary A; Onwuegbuzie, Anthony J; Green, Carla A

    2012-01-01

    Objectives Methodologically sound mixed methods research can improve our understanding of health services by providing a more comprehensive picture of health services than either method can alone. This study describes the frequency of mixed methods in published health services research and compares the presence of methodological components indicative of rigorous approaches across mixed methods, qualitative, and quantitative articles. Data Sources All empirical articles (n = 1,651) published between 2003 and 2007 from four top-ranked health services journals. Study Design All mixed methods articles (n = 47) and random samples of qualitative and quantitative articles were evaluated to identify reporting of key components indicating rigor for each method, based on accepted standards for evaluating the quality of research reports (e.g., use of p-values in quantitative reports, description of context in qualitative reports, and integration in mixed method reports). We used chi-square tests to evaluate differences between article types for each component. Principal Findings Mixed methods articles comprised 2.85 percent (n = 47) of empirical articles, quantitative articles 90.98 percent (n = 1,502), and qualitative articles 6.18 percent (n = 102). There was a statistically significant difference (χ2(1) = 12.20, p = .0005, Cramer's V = 0.09, odds ratio = 1.49 [95% confidence interval = 1,27, 1.74]) in the proportion of quantitative methodological components present in mixed methods compared to quantitative papers (21.94 versus 47.07 percent, respectively) but no statistically significant difference (χ2(1) = 0.02, p = .89, Cramer's V = 0.01) in the proportion of qualitative methodological components in mixed methods compared to qualitative papers (21.34 versus 25.47 percent, respectively). Conclusion Few published health services research articles use mixed methods. The frequency of key methodological components is variable. Suggestions are provided to increase the

  13. 'Obesity Gene' Doesn't Affect Ability to Lose Weight: Report

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_161090.html 'Obesity Gene' Doesn't Affect Ability to Lose Weight: ... 21, 2016 (HealthDay News) -- Having the so-called "obesity gene" doesn't affect people's ability to shed ...

  14. Newspaper reporting and the emergence of charcoal burning suicide in Taiwan: A mixed methods approach.

    Science.gov (United States)

    Chen, Ying-Yeh; Tsai, Chi-Wei; Biddle, Lucy; Niederkrotenthaler, Thomas; Wu, Kevin Chien-Chang; Gunnell, David

    2016-03-15

    It has been suggested that extensive media reporting of charcoal burning suicide was a key factor in the rapid spread of this novel method in many East Asian countries. But very few empirical studies have explored the relationship between media reporting and the emergence of this new method of suicide. We investigated the changing pattern of media reporting of charcoal burning suicides in Taiwan during 1998-2002 when this method of suicide increased most rapidly, assessing whether the characteristics of media reporting were associated with the changing incidence of suicide using this method. A mixed method approach, combining quantitative and qualitative analysis of newspaper content during 1998-2002 was used. We compared differences in reporting characteristics before and after the rapid increase in charcoal burning suicide. Point-biserial and Pearson correlation coefficients were calculated to quantify the associations between the media item content and changes in suicide rates. During the period when charcoal burning suicide increased rapidly, the number of reports per suicide was considerably higher than during the early stage (0.31 vs. 0.10). Detailed reporting of this new method was associated with a post-reporting increase in suicides using the method. Qualitative analysis of news items revealed that the content of reports of suicide by charcoal burning changed gradually; in the early stages of the epidemic (1999-2000) there was convergence in the terminology used to report charcoal burning deaths, later reports gave detailed descriptions of the setting in which the death occurred (2001) and finally the method was glamourized and widely publicized (2001-2002). Our analysis was restricted to newspaper reports and did not include TV or the Internet. Newspaper reporting was associated with the evolution and establishment of charcoal burning suicide. Working with media and close monitoring of changes in the incidence of suicide using a new method might help

  15. Dynamics of elimination of plasmids and expression of VEGF121 gene transfected into human mesenchymal stem cells by different methods.

    Science.gov (United States)

    Smirnikhina, S A; Lavrov, A V; Bochkov, N P

    2011-05-01

    We compared two methods of transfection (lipofection and electroporation) with plasmid containing VEGF121 gene in four cultures of mesenchymal stem cells from the human adipose tissue. The efficacy of transfection after 1 day, the dynamics of plasmid elimination after 3, 6, 9 days, and expression of the target gene were evaluated. Transfection by both methods failed in one of 4 cultures. Analysis of the plasmid elimination dynamics showed that the content of plasmids introduced by both methods decreased by 30-69% in all cultures by day 3 and then remained unchanged from day 3 to day 9. The expression of the target gene did not correlate with the content of plasmids in cells and varied by 2-10 times in control cells and cells transfected by both methods. Fluctuation of VEGF121 expression was not related to methylation.

  16. Csa-19, a radiation-responsive human gene, identified by an unbiased two-gel cDNA library screening method in human cancer cells

    Science.gov (United States)

    Balcer-Kubiczek, E. K.; Meltzer, S. J.; Han, L. H.; Zhang, X. F.; Shi, Z. M.; Harrison, G. H.; Abraham, J. M.

    1997-01-01

    A novel polymerase chain reaction (PCR)-based method was used to identify candidate genes whose expression is altered in cancer cells by ionizing radiation. Transcriptional induction of randomly selected genes in control versus irradiated human HL60 cells was compared. Among several complementary DNA (cDNA) clones recovered by this approach, one cDNA clone (CL68-5) was downregulated in X-irradiated HL60 cells but unaffected by 12-O-tetradecanoyl phorbol-13-acetate, forskolin, or cyclosporin-A. DNA sequencing of the CL68-5 cDNA revealed 100% nucleotide sequence homology to the reported human Csa-19 gene. Northern blot analysis of RNA from control and irradiated cells revealed the expression of a single 0.7-kilobase (kb) messenger RNA (mRNA) transcript. This 0.7-kb Csa-19 mRNA transcript was also expressed in a variety of human adult and corresponding fetal normal tissues. Moreover, when the effect of X- or fission neutron-irradiation on Csa-19 mRNA was compared in cultured human cells differing in p53 gene status (p53-/- versus p53+/+), downregulation of Csa-19 by X-rays or fission neutrons was similar in p53-wild type and p53-null cell lines. Our results provide the first known example of a radiation-responsive gene in human cancer cells whose expression is not associated with p53, adenylate cyclase or protein kinase C.

  17. Csa-19, a radiation-responsive human gene, identified by an unbiased two-gel cDNA library screening method in human cancer cells

    Science.gov (United States)

    Balcer-Kubiczek, E. K.; Meltzer, S. J.; Han, L. H.; Zhang, X. F.; Shi, Z. M.; Harrison, G. H.; Abraham, J. M.

    1997-01-01

    A novel polymerase chain reaction (PCR)-based method was used to identify candidate genes whose expression is altered in cancer cells by ionizing radiation. Transcriptional induction of randomly selected genes in control versus irradiated human HL60 cells was compared. Among several complementary DNA (cDNA) clones recovered by this approach, one cDNA clone (CL68-5) was downregulated in X-irradiated HL60 cells but unaffected by 12-O-tetradecanoyl phorbol-13-acetate, forskolin, or cyclosporin-A. DNA sequencing of the CL68-5 cDNA revealed 100% nucleotide sequence homology to the reported human Csa-19 gene. Northern blot analysis of RNA from control and irradiated cells revealed the expression of a single 0.7-kilobase (kb) messenger RNA (mRNA) transcript. This 0.7-kb Csa-19 mRNA transcript was also expressed in a variety of human adult and corresponding fetal normal tissues. Moreover, when the effect of X- or fission neutron-irradiation on Csa-19 mRNA was compared in cultured human cells differing in p53 gene status (p53-/- versus p53+/+), downregulation of Csa-19 by X-rays or fission neutrons was similar in p53-wild type and p53-null cell lines. Our results provide the first known example of a radiation-responsive gene in human cancer cells whose expression is not associated with p53, adenylate cyclase or protein kinase C.

  18. A quantitative method for determining relative colonization rates of maize callus by Fusarium graminearum for resistance gene evaluations

    Science.gov (United States)

    A quantitative PCR method was developed for detecting Fusarium graminearum growing in maize callus. Fungal DNA was found 12 hours after inoculation and was correlated with visual ratings. We demonstrated the efficacy of the method to quantify fungal growth in callus overexpressing a peroxidase gene ...

  19. Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer.

    Science.gov (United States)

    Hines, Michael; Kumar, Sameer; Schürmann, Felix

    2011-01-01

    For neural network simulations on parallel machines, interprocessor spike communication can be a significant portion of the total simulation time. The performance of several spike exchange methods using a Blue Gene/P (BG/P) supercomputer has been tested with 8-128 K cores using randomly connected networks of up to 32 M cells with 1 k connections per cell and 4 M cells with 10 k connections per cell, i.e., on the order of 4·10(10) connections (K is 1024, M is 1024(2), and k is 1000). The spike exchange methods used are the standard Message Passing Interface (MPI) collective, MPI_Allgather, and several variants of the non-blocking Multisend method either implemented via non-blocking MPI_Isend, or exploiting the possibility of very low overhead direct memory access (DMA) communication available on the BG/P. In all cases, the worst performing method was that using MPI_Isend due to the high overhead of initiating a spike communication. The two best performing methods-the persistent Multisend method using the Record-Replay feature of the Deep Computing Messaging Framework DCMF_Multicast; and a two-phase multisend in which a DCMF_Multicast is used to first send to a subset of phase one destination cores, which then pass it on to their subset of phase two destination cores-had similar performance with very low overhead for the initiation of spike communication. Departure from ideal scaling for the Multisend methods is almost completely due to load imbalance caused by the large variation in number of cells that fire on each processor in the interval between synchronization. Spike exchange time itself is negligible since transmission overlaps with computation and is handled by a DMA controller. We conclude that ideal performance scaling will be ultimately limited by imbalance between incoming processor spikes between synchronization intervals. Thus, counterintuitively, maximization of load balance requires that the distribution of cells on processors should not reflect

  20. 78 FR 25392 - Greenhouse Gas Reporting Rule: Revision to Best Available Monitoring Method Request Submission...

    Science.gov (United States)

    2013-05-01

    ... AGENCY 40 CFR Part 98 RIN 2060-AR74 Greenhouse Gas Reporting Rule: Revision to Best Available Monitoring... Greenhouse Gas Reporting Rule must submit requests for use of best available monitoring methods to the... INFORMATION CONTACT: Carole Cook, Climate Change Division, Office of Atmospheric Programs...

  1. Clustering Methods; Part IV of Scientific Report No. ISR-18, Information Storage and Retrieval...

    Science.gov (United States)

    Cornell Univ., Ithaca, NY. Dept. of Computer Science.

    Two papers are included as Part Four of this report on Salton's Magical Automatic Retriever of Texts (SMART) project report. The first paper: "A Controlled Single Pass Classification Algorithm with Application to Multilevel Clustering" by D. B. Johnson and J. M. Laferente presents a single pass clustering method which compares favorably…

  2. Assessment of Methods for Estimating Risk to Birds from Ingestion of Contaminated Grit Particles (Final Report)

    Science.gov (United States)

    The U.S. EPA Ecological Risk Assessment Support Center (ERASC) announced the release of the final report entitled, Assessment of Methods for Estimating Risk to Birds from Ingestion of Contaminated Grit Particles. This report evaluates approaches for estimating the probabi...

  3. Trypsinization severely perturbs radioiodide transport via membrane Na/I symporter proteolysis: implications for reporter gene imaging

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Kyung-Ho [Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710 (Korea, Republic of)], E-mail: jkhope.jung@sbri.co.kr; Paik, Jin-Young [Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710 (Korea, Republic of); Lee, You La; Lee, Yong Jin; Lee, Jaetae [Department of Nuclear Medicine and Pharmacology, School of Medicine, Kyungpook National University, Daegu 702-701 (Korea, Republic of); Lee, Kyung-Han [Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710 (Korea, Republic of)], E-mail: khnm.lee@samsung.com

    2009-11-15

    Introduction: Cell preparation procedures injurious to Na/I symporters (NIS) could deter their usefulness for reporter gene assays and in vivo cell imaging. In this study, we investigated the effects of cell collection by trypsinization on radioiodide transport and in vivo cell imaging results. Methods: The influence of trypsinization procedures on {sup 125}I transport was evaluated using Huh-7/NIS hepatoma cells. The effects of graded concentrations of trypsin and EDTA were assessed on Huh-7/NIS and A431/NIS lung cancer cells. Trypsin-induced NIS proteolysis was investigated by immunoblots of plasma membrane prepared from adenovirus-infected mouse liver tissue. {sup 99m}Tc-O{sub 4}{sup -} scintigraphy was performed in Balb/C nude mice at 1 and 4 h following administration of Huh-7/NIS cells collected with and without trypsin. Results: {sup 125}I Transport ability of Huh-7/NIS cells was severely impaired within minutes of standard trypsinization and further deteriorated up to 24 h after termination of treatment. This perturbation was caused by trypsin, which dose- and time-dependently induced substantial reductions of {sup 125}I uptake in Huh-7/NIS and A431/NIS cells. Immunoblot analysis revealed significant dose- and time-dependent losses of membrane NIS protein by trypsin. NIS proteolysis was completely blocked by soybean trypsin inhibitor, and partial protection was offered by the substrates iodide and perchlorate. On {sup 99m}Tc-O{sub 4}{sup -} scintigraphy of mice, cells prepared by trypsinization were poorly visualized, whereas those collected with a nonenzymatic method showed significantly better uptake and contrast. Conclusion: Trypsinization leads to serious perturbations in iodide accumulating capacity through tryptic degradation of membrane NIS protein. Hence, NIS-based reporter assays and in vivo cell imaging studies may benefit from better-optimized cell cultivation and harvesting procedures.

  4. The effect of missing marker genotypes on the accuracy of gene-assisted breeding value estimation: a comparison of methods.

    Science.gov (United States)

    Mulder, H A; Meuwissen, T H E; Calus, M P L; Veerkamp, R F

    2010-01-01

    In livestock populations, missing genotypes on a large proportion of the animals is a major problem when implementing gene-assisted breeding value estimation for genes with known effect. The objective of this study was to compare different methods to deal with missing genotypes on accuracy of gene-assisted breeding value estimation for identified bi-allelic genes using Monte Carlo simulation. A nested full-sib half-sib structure was simulated with a mixed inheritance model with one bi-allelic quantitative trait loci (QTL) and a polygenic effect due to infinite number of polygenes. The effect of the QTL was included in gene-assisted BLUP either by random regression on predicted gene content, i.e. the number of positive alleles, or including haplotype effects in the model with an inverse IBD matrix to account for identity-by-descent relationships between haplotypes using linkage analysis information (IBD-LA). The inverse IBD matrix was constructed using segregation indicator probabilities obtained from multiple marker iterative peeling. Gene contents for unknown genotypes were predicted using either multiple marker iterative peeling or mixed model methodology. For both methods, gene-assisted breeding value estimation increased accuracies of total estimated breeding value (EBV) with 0% to 22% for genotyped animals in comparison to conventional breeding value estimation. For animals that were not genotyped, the increase in accuracy was much lower (0% to 5%), but still substantial when the heritability was 0.1 and when the QTL explained at least 15% of the genetic variance. Regression on predicted gene content yielded higher accuracies than IBD-LA. Allele substitution effects were, however, overestimated, especially when only sires and males in the last generation were genotyped. For juveniles without phenotypic records and traits measured only on females, the superiority of regression on gene content over IBD-LA was larger than when all animals had phenotypes. Missing

  5. CvManGO, a method for leveraging computational predictions to improve literature-based Gene Ontology annotations.

    Science.gov (United States)

    Park, Julie; Costanzo, Maria C; Balakrishnan, Rama; Cherry, J Michael; Hong, Eurie L

    2012-01-01

    The set of annotations at the Saccharomyces Genome Database (SGD) that classifies the cellular function of S. cerevisiae gene products using Gene Ontology (GO) terms has become an important resource for facilitating experimental analysis. In addition to capturing and summarizing experimental results, the structured nature of GO annotations allows for functional comparison across organisms as well as propagation of functional predictions between related gene products. Due to their relevance to many areas of research, ensuring the accuracy and quality of these annotations is a priority at SGD. GO annotations are assigned either manually, by biocurators extracting experimental evidence from the scientific literature, or through automated methods that leverage computational algorithms to predict functional information. Here, we discuss the relationship between literature-based and computationally predicted GO annotations in SGD and extend a strategy whereby comparison of these two types of annotation identifies genes whose annotations need review. Our method, CvManGO (Computational versus Manual GO annotations), pairs literature-based GO annotations with computational GO predictions and evaluates the relationship of the two terms within GO, looking for instances of discrepancy. We found that this method will identify genes that require annotation updates, taking an important step towards finding ways to prioritize literature review. Additionally, we explored factors that may influence the effectiveness of CvManGO in identifying relevant gene targets to find in particular those genes that are missing literature-supported annotations, but our survey found that there are no immediately identifiable criteria by which one could enrich for these under-annotated genes. Finally, we discuss possible ways to improve this strategy, and the applicability of this method to other projects that use the GO for curation. DATABASE URL: http://www.yeastgenome.org.

  6. Simultaneous amplification of two bacterial genes: more reliable method of Helicobacter pylori detection in microbial rich dental plaque samples.

    Science.gov (United States)

    Chaudhry, Saima; Idrees, Muhammad; Izhar, Mateen; Butt, Arshad Kamal; Khan, Ayyaz Ali

    2011-01-01

    Polymerase Chain reaction (PCR) assay is considered superior to other methods for detection of Helicobacter pylori (H. pylori) in oral cavity; however, it also has limitations when sample under study is microbial rich dental plaque. The type of gene targeted and number of primers used for bacterial detection in dental plaque samples can have a significant effect on the results obtained as there are a number of closely related bacterial species residing in plaque biofilm. Also due to high recombination rate of H. pylori some of the genes might be down regulated or absent. The present study was conducted to determine the frequency of H. pylori colonization of dental plaque by simultaneously amplifying two genes of the bacterium. One hundred dental plaque specimens were collected from dyspeptic patients before their upper gastrointestinal endoscopy and presence of H. pylori was determined through PCR assay using primers targeting two different genes of the bacterium. Eighty-nine of the 100 samples were included in final analysis. With simultaneous amplification of two bacterial genes 51.6% of the dental plaque samples were positive for H. pylori while this prevalence increased to 73% when only one gene amplification was used for bacterial identification. Detection of H. pylori in dental plaque samples is more reliable when two genes of the bacterium are simultaneously amplified as compared to one gene amplification only.

  7. An optimised direct lysis method for gene expression studies on low cell numbers.

    Science.gov (United States)

    Le, Anh Viet-Phuong; Huang, Dexing; Blick, Tony; Thompson, Erik W; Dobrovic, Alexander

    2015-08-05

    There is increasing interest in gene expression analysis of either single cells or limited numbers of cells. One such application is the analysis of harvested circulating tumour cells (CTCs), which are often present in very low numbers. A highly efficient protocol for RNA extraction, which involves a minimal number of steps to avoid RNA loss, is essential for low input cell numbers. We compared several lysis solutions that enable reverse transcription (RT) to be performed directly on the cell lysate, offering a simple rapid approach to minimise RNA loss for RT. The lysis solutions were assessed by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in low cell numbers isolated from four breast cancer cell lines. We found that a lysis solution containing both the non-ionic detergent (IGEPAL CA-630, chemically equivalent to Nonidet P-40 or NP-40) and bovine serum albumin (BSA) gave the best RT-qPCR yield. This direct lysis to reverse transcription protocol outperformed a column-based extraction method using a commercial kit. This study demonstrates a simple, reliable, time- and cost-effective method that can be widely used in any situation where RNA needs to be prepared from low to very low cell numbers.

  8. Gene dosage methods as diagnostic tools for the identification of chromosome abnormalities.

    Science.gov (United States)

    Gouas, L; Goumy, C; Véronèse, L; Tchirkov, A; Vago, P

    2008-09-01

    Cytogenetics is the part of genetics that deals with chromosomes, particularly with numerical and structural chromosome abnormalities, and their implications in congenital or acquired genetic disorders. Standard karyotyping, successfully used for the last 50 years in investigating the chromosome etiology in patients with infertility, fetal abnormalities and congenital disorders, is constrained by the limits of microscopic resolution and is not suited for the detection of subtle chromosome abnormalities. The ability to detect submicroscopic chromosomal rearrangements that lead to copy-number changes has escalated progressively in recent years with the advent of molecular cytogenetic techniques. Here, we review various gene dosage methods such as FISH, PCR-based approaches (MLPA, QF-PCR, QMPSF and real time PCR), CGH and array-CGH, that can be used for the identification and delineation of copy-number changes for diagnostic purposes. Besides comparing their relative strength and weakness, we will discuss the impact that these detection methods have on our understanding of copy number variations in the human genome and their implications in genetic counseling.

  9. SYBR® Green qPCR Screening Methods for Detection of Anti-herbicide Genes in Genetically Modiifed Processed Products

    Institute of Scientific and Technical Information of China (English)

    Zhen Zhen; Lv Wei; Tang Zhi-fen; Liu Ying; Ao Jin-xia; Yuan Xiao-han; Zhang Ming-hui; Qiu You-wen; Gao Xue-jun

    2016-01-01

    The use of genetically modified organisms (GMOs) as food products becomes more and more widespread. The European Union has implemented a set of very strict procedures for the approval to grow, import and/or utilize GMOs as food or food ingredients. Thus, analytical methods for detection of GMOs are necessary in order to verify compliance with labelling requirements. There are few effective screening methods for processed GM (genetically modified) products. Three anti-herbicide genes (CP4-EPSPS,BAR andPAT) are common exogenous genes used in commercialized transgenic soybean, maize and rice. In the present study, a new SYBR® Green qPCR screening method was developed to simultaneously detect the three exogenous anti-herbicide genes and one endogenous gene in a run. We tested seven samples of representative processed products (soya lecithin, soya protein powder, chocolate beverage, infant rice cereal, maize protein powder, maize starch, and maize jam) using the developed