WorldWideScience

Sample records for cell cardiopoiesis discovery

  1. Virus Discovery Using Tick Cell Lines

    Science.gov (United States)

    Bell-Sakyi, Lesley; Attoui, Houssam

    2016-01-01

    While ticks have been known to harbor and transmit pathogenic arboviruses for over 80 years, the application of high-throughput sequencing technologies has revealed that ticks also appear to harbor a diverse range of endogenous tick-only viruses belonging to many different families. Almost nothing is known about these viruses; indeed, it is unclear in most cases whether the identified viral sequences are derived from actual replication-competent viruses or from endogenous virus elements incorporated into the ticks’ genomes. Tick cell lines play an important role in virus discovery and isolation through the identification of novel viruses chronically infecting such cell lines and by acting as host cells to aid in determining whether or not an entire replication-competent, infective virus is present in a sample. Here, we review recent progress in tick-borne virus discovery and comment on the actual and potential applications for tick cell lines in this emerging research area. PMID:27679414

  2. Translating Stem Cell Biology Into Drug Discovery

    Science.gov (United States)

    Singeç, Ilyas; Simeonov, Anton

    2016-01-01

    Pluripotent stem cell research has made extraordinary progress over the last decade. The robustness of nuclear reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) has created entirely novel opportunities for drug discovery and personalized regenerative medicine. Patient- and disease-specific iPSCs can be expanded indefinitely and differentiated into relevant cell types of different organ systems. As the utilization of iPSCs is becoming a key enabling technology across various scientific disciplines, there are still important challenges that need to be addressed. Here we review the current state and reflect on the issues that the stem cell and translational communities are facing in bringing iPSCs closer to clinical application.

  3. Stem cell biology and drug discovery

    Directory of Open Access Journals (Sweden)

    Haston Kelly M

    2011-06-01

    Full Text Available Abstract There are many reasons to be interested in stem cells, one of the most prominent being their potential use in finding better drugs to treat human disease. This article focuses on how this may be implemented. Recent advances in the production of reprogrammed adult cells and their regulated differentiation to disease-relevant cells are presented, and diseases that have been modeled using these methods are discussed. Remaining difficulties are highlighted, as are new therapeutic insights that have emerged.

  4. Accelerated discovery via a whole-cell model.

    Science.gov (United States)

    Sanghvi, Jayodita C; Regot, Sergi; Carrasco, Silvia; Karr, Jonathan R; Gutschow, Miriam V; Bolival, Benjamin; Covert, Markus W

    2013-12-01

    To test the promise of whole-cell modeling to facilitate scientific inquiry, we compared growth rates simulated in a whole-cell model with experimental measurements for all viable single-gene disruption Mycoplasma genitalium strains. Discrepancies between simulations and experiments led to predictions about kinetic parameters of specific enzymes that we subsequently validated. These findings represent, to our knowledge, the first application of whole-cell modeling to accelerate biological discovery. PMID:24185838

  5. Cell Migration and Invasion Assays as Tools for Drug Discovery

    OpenAIRE

    Hulkower, Keren I.; Herber, Renee L.

    2011-01-01

    Cell migration and invasion are processes that offer rich targets for intervention in key physiologic and pathologic phenomena such as wound healing and cancer metastasis. With the advent of high-throughput and high content imaging systems, there has been a movement towards the use of physiologically relevant cell-based assays earlier in the testing paradigm. This allows more effective identification of lead compounds and recognition of undesirable effects sooner in the drug discovery screeni...

  6. Antibody Discovery via Multiplexed Single Cell Characterization

    OpenAIRE

    Harriman, William D.; Collarini, Ellen J.; Sperinde, Gizette V.; Strandh, Magnus; Fatholahi, Marjan M.; Dutta, April; Lee, Yunji; Mettler, Shelley E.; Keyt, Bruce A.; Ellsworth, Stote L.; Kauvar, Lawrence M.

    2008-01-01

    The secreted immunoglobulin footprint of single hybridoma cells, containing ~10 fg of antibody purified in situ, has been probed for 9 properties concurrently by use of detection labels comprising 280 nm combinatorially colored fluorescent latex beads functionalized with proteins. Specificity of each individual hybridoma cell’s product has thereby been assessed in a primary screen. Varying the density of antigen on beads to modulate the avidity of the interaction between bead and secreted ant...

  7. Cell Migration and Invasion Assays as Tools for Drug Discovery

    Directory of Open Access Journals (Sweden)

    Keren I. Hulkower

    2011-03-01

    Full Text Available Cell migration and invasion are processes that offer rich targets for intervention in key physiologic and pathologic phenomena such as wound healing and cancer metastasis. With the advent of high-throughput and high content imaging systems, there has been a movement towards the use of physiologically relevant cell-based assays earlier in the testing paradigm. This allows more effective identification of lead compounds and recognition of undesirable effects sooner in the drug discovery screening process. This article will review the effective use of several principle formats for studying cell motility: scratch assays, transmembrane assays, microfluidic devices and cell exclusion zone assays.

  8. Discovery of the cancer stem cell related determinants of radioresistance

    International Nuclear Information System (INIS)

    Tumors are known to be heterogeneous containing a dynamic mixture of phenotypically and functionally different tumor cells. The two concepts attempting to explain the origin of intratumor heterogeneity are the cancer stem cell hypothesis and the clonal evolution model. The stochastic model argues that tumors are biologically homogenous and all cancer cells within the tumor have equal ability to propagate the tumor growth depending on continuing mutations and selective pressure. By contrast, the stem cells model suggests that cancer heterogeneity is due to the hierarchy that originates from a small population of cancer stem cells (CSCs) which are biologically distinct from the bulk tumor and possesses self-renewal, tumorigenic and multilineage potential. Although these two hypotheses have been discussed for a long time as mutually exclusive explanations of tumor heterogeneity, they are easily reconciled serving as a driving force of cancer evolution and diversity. Recent discovery of the cancer cell plasticity and heterogeneity makes the CSC population a moving target that could be hard to track and eradicate. Understanding the signaling mechanisms regulating CSCs during the course of cancer treatment can be indispensable for the optimization of current treatment strategies

  9. Facile Discovery of Cell-Surface Protein Targets of Cancer Cell Aptamers.

    Science.gov (United States)

    Bing, Tao; Shangguan, Dihua; Wang, Yinsheng

    2015-10-01

    Cancer biomarker discovery constitutes a frontier in cancer research. In recent years, cell-binding aptamers have become useful molecular probes for biomarker discovery. However, there are few successful examples, and the critical barrier resides in the identification of the cell-surface protein targets for the aptamers, where only a limited number of aptamer targets have been identified so far. Herein, we developed a universal SILAC-based quantitative proteomic method for target discovery of cell-binding aptamers. The method allowed for distinguishing specific aptamer-binding proteins from nonspecific proteins based on abundance ratios of proteins bound to aptamer-carrying bait and control bait. In addition, we employed fluorescently labeled aptamers for monitoring and optimizing the binding conditions. We were able to identify and validate selectin L and integrin α4 as the protein targets for two previously reported aptamers, Sgc-3b and Sgc-4e, respectively. This strategy should be generally applicable for the discovery of protein targets for other cell-binding aptamers, which will promote the applications of these aptamers.

  10. Kicking off adaptive immunity: the discovery of dendritic cells

    OpenAIRE

    Katsnelson, Alla

    2006-01-01

    In 1973, Ralph Steinman and Zanvil Cohn discovered an unusual looking population of cells with an unprecedented ability to activate naive T cells. Dubbed “dendritic cells,” these cells are now known as the primary instigators of adaptive immunity.

  11. Neural crest stem cells: discovery, properties and potential for therapy

    Institute of Scientific and Technical Information of China (English)

    Annita Achilleos; Paul A Trainor

    2012-01-01

    Neural crest (NC) cells are a migratory cell population synonymous with vertebrate evolution.They generate a wide variety of cell and tissue types during embryonic and adult development including cartilage and bone,connective tissue,pigment and endocrine cells as well as neurons and glia amongst many others.Such incredible lineage potential combined with a limited capacity for self-renewal,which persists even into adult life,demonstrates that NC cells bear the key hallmarks of stem and progenitor cells.In this review,we describe the identification,characterization and isolation of NC stem and progenitor cells from different tissues in both embryo and adult organisms.We discuss their specific properties and their potential application in cell-based tissue and disease-specific repair.

  12. Impact of New Camera Technologies on Discoveries in Cell Biology.

    Science.gov (United States)

    Stuurman, Nico; Vale, Ronald D

    2016-08-01

    New technologies can make previously invisible phenomena visible. Nowhere is this more obvious than in the field of light microscopy. Beginning with the observation of "animalcules" by Antonie van Leeuwenhoek, when he figured out how to achieve high magnification by shaping lenses, microscopy has advanced to this day by a continued march of discoveries driven by technical innovations. Recent advances in single-molecule-based technologies have achieved unprecedented resolution, and were the basis of the Nobel prize in Chemistry in 2014. In this article, we focus on developments in camera technologies and associated image processing that have been a major driver of technical innovations in light microscopy. We describe five types of developments in camera technology: video-based analog contrast enhancement, charge-coupled devices (CCDs), intensified sensors, electron multiplying gain, and scientific complementary metal-oxide-semiconductor cameras, which, together, have had major impacts in light microscopy.

  13. Cancer Stem Cell Biomarker Discovery Using Antibody Array Technology.

    Science.gov (United States)

    Burgess, Rob; Huang, Ruo-Pan

    2016-01-01

    Cancer is a complex disease involving hundreds of pathways and numerous levels of disease progression. In addition, there is a growing body of evidence that the origins and growth rates of specific types of cancer may involve "cancer stem cells," which are defined as "cells within a tumor that possess the capacity to self-renew and to cause the development of heterogeneous lineages of cancer cells that comprise the tumor.(1)" Many types of cancer are now thought to harbor cancer stem cells. These cells themselves are thought to be unique in comparison to other cells types present within the tumor and to exhibit characteristics that allow for the promotion of tumorigenesis and in some cases metastasis. In addition, it is speculated that each type of cancer stem cell exhibits a unique set of molecular and biochemical markers. These markers, alone or in combination, may act as a signature for defining not only the type of cancer but also the progressive state. These biomarkers may also double as signaling entities which act autonomously or upon neighboring cancer stem cells or other cells within the local microenvironment to promote tumorigenesis. This review describes the heterogeneic properties of cancer stem cells and outlines the identification and application of biomarkers and signaling molecules defining these cells as they relate to different forms of cancer. Other examples of biomarkers and signaling molecules expressed by neighboring cells in the local tumor microenvironment are also discussed. In addition, biochemical signatures for cancer stem cell autocrine/paracrine signaling, local site recruitment, tumorigenic potential, and conversion to a stem-like phenotype are described.

  14. Challenges for red blood cell biomarker discovery through proteomics

    NARCIS (Netherlands)

    Barasa, B.A.; Slijper, M.

    2014-01-01

    Red blood cells are rather unique body cells, since they have lost all organelles when mature, which results in lack of potential to replace proteins that have lost their function. They maintain only a few pathways for obtaining energy and reducing power for the key functions they need to fulfill. T

  15. Patient-derived stem cells: pathways to drug discovery for brain diseases

    Directory of Open Access Journals (Sweden)

    Alan eMackay-Sim

    2013-03-01

    Full Text Available The concept of drug discovery through stem cell biology is based on technological developments whose genesis is now coincident. The first is automated cell microscopy with concurrent advances in image acquisition and analysis, known as high content screening (HCS. The second is patient-derived stem cells for modelling the cell biology of brain diseases. HCS has developed from the requirements of the pharmaceutical industry for high throughput assays to screen thousands of chemical compounds in the search for new drugs. HCS combines new fluorescent probes with automated microscopy and computational power to quantify the effects of compounds on cell functions. Stem cell biology has advanced greatly since the discovery of genetic reprogramming of somatic cells into induced pluripotent stem cells (iPSCs. There is now a rush of papers describing their generation from patients with various diseases of the nervous system. Although the majority of these have been genetic diseases, iPSCs have been generated from patients with complex diseases (schizophrenia and sporadic Parkinson’s disease. Some genetic diseases are also modelled in embryonic stem cells generated from blastocysts rejected during in vitro fertilisation. Neural stem cells have been isolated from post-mortem brain of Alzheimer’s patients and neural stem cells generated from biopsies of the olfactory organ of patients is another approach. These olfactory neurosphere-derived cells demonstrate robust disease-specific phenotypes in patients with schizophrenia and Parkinson’s disease. High content screening is already in use to find small molecules for the generation and differentiation of embryonic stem cells and induced pluripotent stem cells. The challenges for using stem cells for drug discovery are to develop robust stem cell culture methods that meet the rigorous requirements for repeatable, consistent quantities of defined cell types at the industrial scale necessary for high

  16. Discovery and characterization of a new cell-penetrating protein.

    Science.gov (United States)

    Simeon, Rudo L; Chamoun, Ana Maria; McMillin, Thomas; Chen, Zhilei

    2013-12-20

    We describe a new cell-penetrating protein, B1, capable of delivering conjugated proteins and nucleic acids into mammalian cells. B1 is a 244-amino-acid product of a single-base frameshift in the gene encoding enhanced green fluorescent protein (eGFP). The molecule has a net positive charge of 43 and a very high charge-to-mass ratio of 1.5. eGFP-fused B1 potently penetrates both adherent and suspension cells with >80% of cells taking up the protein when exposed to concentrations as low as 1 μM. The protein was found to cluster in the paranuclear region of TZM-bl cells. Most importantly, we show that B1 not only facilitates cellular uptake but allows biomolecular cargo to reach sites of biological relevance. For example, baby hamster kidney cells underwent DNA recombination when exposed to B1-tagged Cre recombinase at protein concentrations as low as 2.5 μM, indicating potent nuclear delivery of functional protein cargos. Additionally, B1 delivers noncovalently conjugated RNA and DNA across the cell membrane to cytosolic and nuclear sites accessible to the cellular translation and transcription machinery, as gauged by detection of encoded reporter functions, with efficiency comparable to commercially available cationic lipid reagents. B1 appears to utilize cell-surface glycans and multiple competing endocytic pathways to enter and traffic through cells. These studies provide both a new tool for intracellular delivery of biomolecules and insights that could aid in the design of more effective cell penetrating proteins.

  17. Pluripotent stem cells in disease modelling and drug discovery.

    Science.gov (United States)

    Avior, Yishai; Sagi, Ido; Benvenisty, Nissim

    2016-03-01

    Experimental modelling of human disorders enables the definition of the cellular and molecular mechanisms underlying diseases and the development of therapies for treating them. The availability of human pluripotent stem cells (PSCs), which are capable of self-renewal and have the potential to differentiate into virtually any cell type, can now help to overcome the limitations of animal models for certain disorders. The ability to model human diseases using cultured PSCs has revolutionized the ways in which we study monogenic, complex and epigenetic disorders, as well as early- and late-onset diseases. Several strategies are used to generate such disease models using either embryonic stem cells (ES cells) or patient-specific induced PSCs (iPSCs), creating new possibilities for the establishment of models and their use in drug screening. PMID:26818440

  18. Accelerated discovery via a whole-cell model

    OpenAIRE

    Sanghvi, Jayodita C.; Regot, Sergi; Carrasco, Silvia; Karr, Jonathan R.; Miriam V Gutschow; Bolival, Benjamin; Covert, Markus W

    2013-01-01

    Whole-cell modeling promises to facilitate scientific inquiry by prioritizing future experiments based on existing datasets. To test this promise, we compared simulated growth rates with new measurements for all viable single-gene disruption strains in Mycoplasma genitalium. The discrepancies between simulations and experiments led to novel model predictions about specific kinetic parameters that we subsequently validated. These findings represent the first application of whole-cell modeling ...

  19. Cornell Fuel Cell Institute: Materials Discovery to Enable Fuel Cell Technologies

    Energy Technology Data Exchange (ETDEWEB)

    Abruna, H.D.; DiSalvo, Francis J.

    2012-06-29

    The discovery and understanding of new, improved materials to advance fuel cell technology are the objectives of the Cornell Fuel Cell Institute (CFCI) research program. CFCI was initially formed in 2003. This report highlights the accomplishments from 2006-2009. Many of the grand challenges in energy science and technology are based on the need for materials with greatly improved or even revolutionary properties and performance. This is certainly true for fuel cells, which have the promise of being highly efficient in the conversion of chemical energy to electrical energy. Fuel cells offer the possibility of efficiencies perhaps up to 90 % based on the free energy of reaction. Here, the challenges are clearly in the materials used to construct the heart of the fuel cell: the membrane electrode assembly (MEA). The MEA consists of two electrodes separated by an ionically conducting membrane. Each electrode is a nanocomposite of electronically conducting catalyst support, ionic conductor and open porosity, that together form three percolation networks that must connect to each catalyst nanoparticle; otherwise the catalyst is inactive. This report highlights the findings of the three years completing the CFCI funding, and incudes developments in materials for electrocatalyts, catalyst supports, materials with structured and functional porosity for electrodes, and novel electrolyte membranes. The report also discusses developments at understanding electrocatalytic mechanisms, especially on novel catalyst surfaces, plus in situ characterization techniques and contributions from theory. Much of the research of the CFCI continues within the Energy Materials Center at Cornell (emc2), a DOE funded, Office of Science Energy Frontier Research Center (EFRC).

  20. Stem cells: a model for screening, discovery and development of drugs

    OpenAIRE

    Kitambi SS; Chandrasekar G

    2011-01-01

    Satish Srinivas Kitambi1, Gayathri Chandrasekar21Department of Medical Biochemistry and Biophysics; 2Department of Biosciences, Karolinska Institutet, Stockholm, SwedenAbstract: The identification of normal and cancerous stem cells and the recent advances made in isolation and culture of stem cells have rapidly gained attention in the field of drug discovery and regenerative medicine. The prospect of performing screens aimed at proliferation, directed differentiation, and toxicity and efficac...

  1. Drug Discovery via Human-Derived Stem Cell Organoids

    Science.gov (United States)

    Liu, Fangkun; Huang, Jing; Ning, Bo; Liu, Zhixiong; Chen, Shen; Zhao, Wei

    2016-01-01

    Patient-derived cell lines and animal models have proven invaluable for the understanding of human intestinal diseases and for drug development although both inherently comprise disadvantages and caveats. Many genetically determined intestinal diseases occur in specific tissue microenvironments that are not adequately modeled by monolayer cell culture. Likewise, animal models incompletely recapitulate the complex pathologies of intestinal diseases of humans and fall short in predicting the effects of candidate drugs. Patient-derived stem cell organoids are new and effective models for the development of novel targeted therapies. With the use of intestinal organoids from patients with inherited diseases, the potency and toxicity of drug candidates can be evaluated better. Moreover, owing to the novel clustered regularly interspaced short palindromic repeats/CRISPR-associated protein-9 genome-editing technologies, researchers can use organoids to precisely modulate human genetic status and identify pathogenesis-related genes of intestinal diseases. Therefore, here we discuss how patient-derived organoids should be grown and how advanced genome-editing tools may be applied to research on modeling of cancer and infectious diseases. We also highlight practical applications of organoids ranging from basic studies to drug screening and precision medicine. PMID:27713700

  2. Discovery of a Splicing Regulator Required for Cell Cycle Progression

    Energy Technology Data Exchange (ETDEWEB)

    Suvorova, Elena S.; Croken, Matthew; Kratzer, Stella; Ting, Li-Min; Conde de Felipe, Magnolia; Balu, Bharath; Markillie, Lye Meng; Weiss, Louis M.; Kim, Kami; White, Michael W.

    2013-02-01

    In the G1 phase of the cell division cycle, eukaryotic cells prepare many of the resources necessary for a new round of growth including renewal of the transcriptional and protein synthetic capacities and building the machinery for chromosome replication. The function of G1 has an early evolutionary origin and is preserved in single and multicellular organisms, although the regulatory mechanisms conducting G1 specific functions are only understood in a few model eukaryotes. Here we describe a new G1 mutant from an ancient family of apicomplexan protozoans. Toxoplasma gondii temperature-sensitive mutant 12-109C6 conditionally arrests in the G1 phase due to a single point mutation in a novel protein containing a single RNA-recognition-motif (TgRRM1). The resulting tyrosine to asparagine amino acid change in TgRRM1 causes severe temperature instability that generates an effective null phenotype for this protein when the mutant is shifted to the restrictive temperature. Orthologs of TgRRM1 are widely conserved in diverse eukaryote lineages, and the human counterpart (RBM42) can functionally replace the missing Toxoplasma factor. Transcriptome studies demonstrate that gene expression is downregulated in the mutant at the restrictive temperature due to a severe defect in splicing that affects both cell cycle and constitutively expressed mRNAs. The interaction of TgRRM1 with factors of the tri-SNP complex (U4/U6 & U5 snRNPs) indicate this factor may be required to assemble an active spliceosome. Thus, the TgRRM1 family of proteins is an unrecognized and evolutionarily conserved class of splicing regulators. This study demonstrates investigations into diverse unicellular eukaryotes, like the Apicomplexa, have the potential to yield new insights into important mechanisms conserved across modern eukaryotic kingdoms.

  3. Stem cells: a model for screening, discovery and development of drugs

    Directory of Open Access Journals (Sweden)

    Kitambi SS

    2011-09-01

    Full Text Available Satish Srinivas Kitambi1, Gayathri Chandrasekar21Department of Medical Biochemistry and Biophysics; 2Department of Biosciences, Karolinska Institutet, Stockholm, SwedenAbstract: The identification of normal and cancerous stem cells and the recent advances made in isolation and culture of stem cells have rapidly gained attention in the field of drug discovery and regenerative medicine. The prospect of performing screens aimed at proliferation, directed differentiation, and toxicity and efficacy studies using stem cells offers a reliable platform for the drug discovery process. Advances made in the generation of induced pluripotent stem cells from normal or diseased tissue serves as a platform to perform drug screens aimed at developing cell-based therapies against conditions like Parkinson's disease and diabetes. This review discusses the application of stem cells and cancer stem cells in drug screening and their role in complementing, reducing, and replacing animal testing. In addition to this, target identification and major advances in the field of personalized medicine using induced pluripotent cells are also discussed.Keywords: therapeutics, stem cells, cancer stem cells, screening models, drug development, high throughput screening

  4. Transport of lipopolysaccharide across the cell envelope: the long road of discovery.

    Science.gov (United States)

    Ruiz, Natividad; Kahne, Daniel; Silhavy, Thomas J

    2009-09-01

    Intracellular lipid transport is poorly understood. Genetic studies to identify lipid-transport factors are complicated by the essentiality of many lipids, whereas biochemical and cell biology approaches aiming to determine localization and mechanisms of lipid transport are often challenged by the lack of adequate technology. Here, we review the epic history of how different approaches, technological advances and ingenuity contributed to the recent discovery of a multi-protein pathway that transports lipopolysaccharide across the envelope of Gram-negative bacteria.

  5. Advancing drug discovery for neuropsychiatric disorders using patient-specific stem cell models.

    Science.gov (United States)

    Haggarty, Stephen J; Silva, M Catarina; Cross, Alan; Brandon, Nicholas J; Perlis, Roy H

    2016-06-01

    Compelling clinical, social, and economic reasons exist to innovate in the process of drug discovery for neuropsychiatric disorders. The use of patient-specific, induced pluripotent stem cells (iPSCs) now affords the ability to generate neuronal cell-based models that recapitulate key aspects of human disease. In the context of neuropsychiatric disorders, where access to physiologically active and relevant cell types of the central nervous system for research is extremely limiting, iPSC-derived in vitro culture of human neurons and glial cells is transformative. Potential applications relevant to early stage drug discovery, include support of quantitative biochemistry, functional genomics, proteomics, and perhaps most notably, high-throughput and high-content chemical screening. While many phenotypes in human iPSC-derived culture systems may prove adaptable to screening formats, addressing the question of which in vitro phenotypes are ultimately relevant to disease pathophysiology and therefore more likely to yield effective pharmacological agents that are disease-modifying treatments requires careful consideration. Here, we review recent examples of studies of neuropsychiatric disorders using human stem cell models where cellular phenotypes linked to disease and functional assays have been reported. We also highlight technical advances using genome-editing technologies in iPSCs to support drug discovery efforts, including the interpretation of the functional significance of rare genetic variants of unknown significance and for the purpose of creating cell type- and pathway-selective functional reporter assays. Additionally, we evaluate the potential of in vitro stem cell models to investigate early events of disease pathogenesis, in an effort to understand the underlying molecular mechanism, including the basis of selective cell-type vulnerability, and the potential to create new cell-based diagnostics to aid in the classification of patients and subsequent

  6. Discovery of Drug Synergies in Gastric Cancer Cells Predicted by Logical Modeling.

    Science.gov (United States)

    Flobak, Åsmund; Baudot, Anaïs; Remy, Elisabeth; Thommesen, Liv; Thieffry, Denis; Kuiper, Martin; Lægreid, Astrid

    2015-08-01

    Discovery of efficient anti-cancer drug combinations is a major challenge, since experimental testing of all possible combinations is clearly impossible. Recent efforts to computationally predict drug combination responses retain this experimental search space, as model definitions typically rely on extensive drug perturbation data. We developed a dynamical model representing a cell fate decision network in the AGS gastric cancer cell line, relying on background knowledge extracted from literature and databases. We defined a set of logical equations recapitulating AGS data observed in cells in their baseline proliferative state. Using the modeling software GINsim, model reduction and simulation compression techniques were applied to cope with the vast state space of large logical models and enable simulations of pairwise applications of specific signaling inhibitory chemical substances. Our simulations predicted synergistic growth inhibitory action of five combinations from a total of 21 possible pairs. Four of the predicted synergies were confirmed in AGS cell growth real-time assays, including known effects of combined MEK-AKT or MEK-PI3K inhibitions, along with novel synergistic effects of combined TAK1-AKT or TAK1-PI3K inhibitions. Our strategy reduces the dependence on a priori drug perturbation experimentation for well-characterized signaling networks, by demonstrating that a model predictive of combinatorial drug effects can be inferred from background knowledge on unperturbed and proliferating cancer cells. Our modeling approach can thus contribute to preclinical discovery of efficient anticancer drug combinations, and thereby to development of strategies to tailor treatment to individual cancer patients.

  7. Discovery of T cell antigens by high-throughput screening of synthetic minigene libraries.

    Directory of Open Access Journals (Sweden)

    Brian D Hondowicz

    Full Text Available The identification of novel T cell antigens is central to basic and translational research in autoimmunity, tumor immunology, transplant immunology, and vaccine design for infectious disease. However, current methods for T cell antigen discovery are low throughput, and fail to explore a wide range of potential antigen-receptor interactions. To overcome these limitations, we developed a method in which programmable microarrays are used to cost-effectively synthesize complex libraries of thousands of minigenes that collectively encode the content of hundreds of candidate protein targets. Minigene-derived mRNA are transfected into autologous antigen presenting cells and used to challenge complex populations of purified peripheral blood CD8+ T cells in multiplex, parallel ELISPOT assays. In this proof-of-concept study, we apply synthetic minigene screening to identify two novel pancreatic islet autoantigens targeted in a patient with Type I Diabetes. To our knowledge, this is the first successful screen of a highly complex, synthetic minigene library for identification of a T cell antigen. In principle, responses against the full protein complement of any tissue or pathogen can be assayed by this approach, suggesting that further optimization of synthetic libraries holds promise for high throughput antigen discovery.

  8. Targeting stem cell signaling pathways for drug discovery: advances in the Notch and Wnt pathways.

    Science.gov (United States)

    An, Songzhu Michael; Ding, Qiang; Zhang, Jie; Xie, JingYi; Li, LingSong

    2014-06-01

    Signaling pathways transduce extracellular stimuli into cells through molecular cascades to regulate cellular functions. In stem cells, a small number of pathways, notably those of TGF-β/BMP, Hedgehog, Notch, and Wnt, are responsible for the regulation of pluripotency and differentiation. During embryonic development, these pathways govern cell fate specifications as well as the formation of tissues and organs. In adulthood, their normal functions are important for tissue homeostasis and regeneration, whereas aberrations result in diseases, such as cancer and degenerative disorders. In complex biological systems, stem cell signaling pathways work in concert as a network and exhibit crosstalk, such as the negative crosstalk between Wnt and Notch. Over the past decade, genetic and genomic studies have identified a number of potential drug targets that are involved in stem cell signaling pathways. Indeed, discovery of new targets and drugs for these pathways has become one of the most active areas in both the research community and pharmaceutical industry. Remarkable progress has been made and several promising drug candidates have entered into clinical trials. This review focuses on recent advances in the discovery of novel drugs which target the Notch and Wnt pathways.

  9. How induced pluripotent stem cells are informing drug discovery in psychiatry.

    Science.gov (United States)

    Sun, Yishan; Dolmetsch, Ricardo E

    2016-01-01

    Compared with other medical fields, psychiatry is particularly challenging for rational drug discovery. The therapeutic endpoints are abstract measures of cognitive and behavioral performance, for which we have a very limited understanding of the underlying biological mechanisms. Existing preclinical disease models are also limited in their translational fidelity. Recently, there have been active discussions on the use of human induced pluripotent stem cells (iPSCs) as a catalyzing research tool in psychiatry, but very few review articles in the field have given specific considerations to their use at the interface between psychiatric research and drug discovery. Here, we discuss recent perspectives emerging from this interface. For physicians and researchers on the clinical side, we explain how iPSC-based experimental approaches are placed at the crossroads with psychiatric genetics and how representative studies in the field are addressing biological mechanisms underlying psychiatric disorders. For researchers who directly work with iPSCs and aspire to develop new research techniques, we direct their attention to the utility of this approach for unmet needs in drug discovery workflows.

  10. The neural crest and neural crest cells: discovery and significance for theories of embryonic organization

    Indian Academy of Sciences (India)

    Brian K Hall

    2008-12-01

    The neural crest has long fascinated developmental biologists, and, increasingly over the past decades, evolutionary and evolutionary developmental biologists. The neural crest is the name given to the fold of ectoderm at the junction between neural and epidermal ectoderm in neurula-stage vertebrate embryos. In this sense, the neural crest is a morphological term akin to head fold or limb bud. This region of the dorsal neural tube consists of neural crest cells, a special population(s) of cell, that give rise to an astonishing number of cell types and to an equally astonishing number of tissues and organs. Neural crest cell contributions may be direct — providing cells — or indirect — providing a necessary, often inductive, environment in which other cells develop. The enormous range of cell types produced provides an important source of evidence of the neural crest as a germ layer, bringing the number of germ layers to four — ectoderm, endoderm, mesoderm, and neural crest. In this paper I provide a brief overview of the major phases of investigation into the neural crest and the major players involved, discuss how the origin of the neural crest relates to the origin of the nervous system in vertebrate embryos, discuss the impact on the germ-layer theory of the discovery of the neural crest and of secondary neurulation, and present evidence of the neural crest as the fourth germ layer. A companion paper (Hall, Evol. Biol. 2008) deals with the evolutionary origins of the neural crest and neural crest cells.

  11. An Innovative Cell Microincubator for Drug Discovery Based on 3D Silicon Structures

    Directory of Open Access Journals (Sweden)

    Francesca Aredia

    2016-01-01

    Full Text Available We recently employed three-dimensional (3D silicon microstructures (SMSs consisting in arrays of 3 μm-thick silicon walls separated by 50 μm-deep, 5 μm-wide gaps, as microincubators for monitoring the biomechanical properties of tumor cells. They were here applied to investigate the in vitro behavior of HT1080 human fibrosarcoma cells driven to apoptosis by the chemotherapeutic drug Bleomycin. Our results, obtained by fluorescence microscopy, demonstrated that HT1080 cells exhibited a great ability to colonize the narrow gaps. Remarkably, HT1080 cells grown on 3D-SMS, when treated with the DNA damaging agent Bleomycin under conditions leading to apoptosis, tended to shrink, reducing their volume and mimicking the normal behavior of apoptotic cells, and were prone to leave the gaps. Finally, we performed label-free detection of cells adherent to the vertical silicon wall, inside the gap of 3D-SMS, by exploiting optical low coherence reflectometry using infrared, low power radiation. This kind of approach may become a new tool for increasing automation in the drug discovery area. Our results open new perspectives in view of future applications of the 3D-SMS as the core element of a lab-on-a-chip suitable for screening the effect of new molecules potentially able to kill tumor cells.

  12. Induced Pluripotent Stem Cells for Disease Modeling and Drug Discovery in Neurodegenerative Diseases.

    Science.gov (United States)

    Cao, Lei; Tan, Lan; Jiang, Teng; Zhu, Xi-Chen; Yu, Jin-Tai

    2015-08-01

    Although most neurodegenerative diseases have been closely related to aberrant accumulation of aggregation-prone proteins in neurons, understanding their pathogenesis remains incomplete, and there is no treatment to delay the onset or slow the progression of many neurodegenerative diseases. The availability of induced pluripotent stem cells (iPSCs) in recapitulating the phenotypes of several late-onset neurodegenerative diseases marks the new era in in vitro modeling. The iPSC collection represents a unique and well-characterized resource to elucidate disease mechanisms in these diseases and provides a novel human stem cell platform for screening new candidate therapeutics. Modeling human diseases using iPSCs has created novel opportunities for both mechanistic studies as well as for the discovery of new disease therapies. In this review, we introduce iPSC-based disease modeling in neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. In addition, we discuss the implementation of iPSCs in drug discovery associated with some new techniques.

  13. Personalized Whole-Cell Kinetic Models of Metabolism for Discovery in Genomics and Pharmacodynamics

    DEFF Research Database (Denmark)

    Bordbar, Aarash; McCloskey, Douglas; Zielinski, Daniel C;

    2015-01-01

    challenge. Here, we constructed multi-omic, data-driven, personalized whole-cell kinetic models of erythrocyte metabolism for 24 healthy individuals based on fasting-state plasma and erythrocyte metabolomics and whole-genome genotyping. We show that personalized kinetic rate constants, rather than......-induced anemia) and how genetic variation (inosine triphosphatase deficiency) may protect against this side effect. This study demonstrates the feasibility of personalized kinetic models, and we anticipate their use will accelerate discoveries in characterizing individual metabolic variation.......Understanding individual variation is fundamental to personalized medicine. Yet interpreting complex phenotype data, such as multi-compartment metabolomic profiles, in the context of genotype data for an individual is complicated by interactions within and between cells and remains an unresolved...

  14. Induced pluripotent stem cells, new tools for drug discovery and new hope for stem cell therapies

    OpenAIRE

    Shi, Yanhong

    2009-01-01

    Somatic cell nuclear transfer or therapeutic cloning has provided great hope for stem cell-based therapies. However therapeutic cloning has been experiencing both ethical and technical difficulties. Recent breakthrough studies using a combination of four factors to reprogram human somatic cells into pluripotent stem cells without using embryos or eggs led to an important revolution in stem cell research. Comparative analysis of human induced pluripotent stem cells and human embryonic stem cel...

  15. In vitro Fab display: a cell-free system for IgG discovery.

    Science.gov (United States)

    Stafford, Ryan L; Matsumoto, Marissa L; Yin, Gang; Cai, Qi; Fung, Juan Jose; Stephenson, Heather; Gill, Avinash; You, Monica; Lin, Shwu-Hwa; Wang, Willie D; Masikat, Mary Rose; Li, Xiaofan; Penta, Kalyani; Steiner, Alex R; Baliga, Ramesh; Murray, Christopher J; Thanos, Christopher D; Hallam, Trevor J; Sato, Aaron K

    2014-04-01

    Selection technologies such as ribosome display enable the rapid discovery of novel antibody fragments entirely in vitro. It has been assumed that the open nature of the cell-free reactions used in these technologies limits selections to single-chain protein fragments. We present a simple approach for the selection of multi-chain proteins, such as antibody Fab fragments, using ribosome display. Specifically, we show that a two-chain trastuzumab (Herceptin) Fab domain can be displayed in a format which tethers either the heavy or light chain to the ribosome while retaining functional antigen binding. Then, we constructed synthetic Fab HC and LC libraries and performed test selections against carcinoembryonic antigen (CEA) and vascular endothelial growth factor (VEGF). The Fab selection output was reformatted into full-length immunoglobulin Gs (IgGs) and directly expressed at high levels in an optimized cell-free system for immediate screening, purification and characterization. Several novel IgGs were identified using this cell-free platform that bind to purified CEA, CEA positive cells and VEGF.

  16. Current Challenges in Cell-Type Discovery Through Single-Cell Data

    Directory of Open Access Journals (Sweden)

    De Vargas Roditi Laura

    2015-01-01

    Full Text Available Single cell sequencing and proteome profiling efforts in the past few years have revealed widespread genetic and proteomic heterogeneity among tumor cells. However, sensible cell-type definition of such heterogeneous cell populations has so far been a challenging task. Single cell technologies such as RNA sequencing and mass cytometry provide information precluded by conventional bulk measurements and have achieved significant improvements in multiparametricity at high cellular throughput. By combining these technologies with computational and mathematical techniques it is possible to quantitatively define cellular heterogeneity, uncovering distinct phenotypic profiles that can be utilized to, for example, characterize tumor heterogeneity with the potential to develop and improve therapeutic strategies.

  17. Computational discovery of pathway-level genetic vulnerabilities in non-small-cell lung cancer | Office of Cancer Genomics

    Science.gov (United States)

    Novel approaches are needed for discovery of targeted therapies for non-small-cell lung cancer (NSCLC) that are specific to certain patients. Whole genome RNAi screening of lung cancer cell lines provides an ideal source for determining candidate drug targets. Unsupervised learning algorithms uncovered patterns of differential vulnerability across lung cancer cell lines to loss of functionally related genes. Such genetic vulnerabilities represent candidate targets for therapy and are found to be involved in splicing, translation and protein folding.

  18. Stem cell signaling as a target for novel drug discovery: recent progress in the WNT and Hedgehog pathways

    Institute of Scientific and Technical Information of China (English)

    Songzhu Michael AN; Qiang Peter DING; Ling-song LI

    2013-01-01

    One of the most exciting fields in biomedical research over the past few years is stem cell biology,and therapeutic application of stem cells to replace the diseased or damaged tissues is also an active area in development.Although stem cell therapy has a number of technical challenges and regulatory hurdles to overcome,the use of stem cells as tools in drug discovery supported by mature technologies and established regulatory paths is expected to generate more immediate returns.In particular,the targeting of stem cell signaling pathways is opening up a new avenue for drug discovery.Aberrations in these pathways result in various diseases,including cancer,fibrosis and degenerative diseases.A number of drug targets in stem cell signaling pathways have been identified.Among them,WNT and Hedgehog are two most important signaling pathways,which are the focus of this review.A hedgehog pathway inhibitor,vismodegib (Erivedge),has recently been approved by the US FDA for the treatment of skin cancer,while several drug candidates for the WNT pathway are entering clinical trials.We have discovered that the stem cell signaling pathways respond to traditional Chinese medicines.Substances isolated from herbal medicine may act specifically on components of stem cell signaling pathways with high affinities.As many of these events can be explained through molecular interactions,these phenomena suggest that discovery of stem cell-targeting drugs from natural products may prove to be highly successful.

  19. Induced pluripotent stem cells: applications in regenerative medicine, disease modeling, and drug discovery.

    Science.gov (United States)

    Singh, Vimal K; Kalsan, Manisha; Kumar, Neeraj; Saini, Abhishek; Chandra, Ramesh

    2015-01-01

    Recent progresses in the field of Induced Pluripotent Stem Cells (iPSCs) have opened up many gateways for the research in therapeutics. iPSCs are the cells which are reprogrammed from somatic cells using different transcription factors. iPSCs possess unique properties of self renewal and differentiation to many types of cell lineage. Hence could replace the use of embryonic stem cells (ESC), and may overcome the various ethical issues regarding the use of embryos in research and clinics. Overwhelming responses prompted worldwide by a large number of researchers about the use of iPSCs evoked a large number of peple to establish more authentic methods for iPSC generation. This would require understanding the underlying mechanism in a detailed manner. There have been a large number of reports showing potential role of different molecules as putative regulators of iPSC generating methods. The molecular mechanisms that play role in reprogramming to generate iPSCs from different types of somatic cell sources involves a plethora of molecules including miRNAs, DNA modifying agents (viz. DNA methyl transferases), NANOG, etc. While promising a number of important roles in various clinical/research studies, iPSCs could also be of great use in studying molecular mechanism of many diseases. There are various diseases that have been modeled by uing iPSCs for better understanding of their etiology which maybe further utilized for developing putative treatments for these diseases. In addition, iPSCs are used for the production of patient-specific cells which can be transplanted to the site of injury or the site of tissue degeneration due to various disease conditions. The use of iPSCs may eliminate the chances of immune rejection as patient specific cells may be used for transplantation in various engraftment processes. Moreover, iPSC technology has been employed in various diseases for disease modeling and gene therapy. The technique offers benefits over other similar techniques

  20. Complex Minigene Library Vaccination for Discovery of Pre-Erythrocytic Plasmodium T Cell Antigens

    Science.gov (United States)

    Stone, Brad C.; Kas, Arnold; Billman, Zachary P.; Fuller, Deborah H.; Fuller, James T.; Shendure, Jay; Murphy, Sean C.

    2016-01-01

    Development of a subunit vaccine targeting liver-stage Plasmodium parasites requires the identification of antigens capable of inducing protective T cell responses. However, traditional methods of antigen identification are incapable of evaluating T cell responses against large numbers of proteins expressed by these parasites. This bottleneck has limited development of subunit vaccines against Plasmodium and other complex intracellular pathogens. To address this bottleneck, we are developing a synthetic minigene technology for multi-antigen DNA vaccines. In an initial test of this approach, pools of long (150 bp) antigen-encoding oligonucleotides were synthesized and recombined into vectors by ligation-independent cloning to produce two DNA minigene library vaccines. Each vaccine encoded peptides derived from 36 (vaccine 1) and 53 (vaccine 2) secreted or transmembrane pre-erythrocytic P. yoelii proteins. BALB/cj mice were vaccinated three times with a single vaccine by biolistic particle delivery (gene gun) and screened for interferon-γ-producing T cell responses by ELISPOT. Library vaccination induced responses against four novel antigens. Naïve mice exposed to radiation-attenuated sporozoites mounted a response against only one of the four novel targets (PyMDH, malate dehydrogenase). The response to PyMDH could not be recalled by additional homologous sporozoite immunizations but could be partially recalled by heterologous cross-species sporozoite exposure. Vaccination against the dominant PyMDH epitope by DNA priming and recombinant Listeria boosting did not protect against sporozoite challenge. Improvements in library design and delivery, combined with methods promoting an increase in screening sensitivity, may enable complex minigene screening to serve as a high-throughput system for discovery of novel T cell antigens. PMID:27070430

  1. Live cell discovery of microbial vitamin transport and enzyme-cofactor interactions by chemoproteomics

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, Lindsey N; Koech, Phillip K; Plymale, Andrew E; Landorf, Elizabeth V; Konopka, Allan; Collart, Frank R.; Lipton, Mary S; Romine, Margaret F; Wright, Aaron T

    2016-02-01

    The rapid completion of microbial genomes is inducing a conundrum in functional gene discovery. Novel methods are critically needed to shorten the gap between characterizing a microbial genome and experimentally validating bioinformatically-predicted functions. Of particular importance are transport mechanisms, used to shuttle nutrients and metabolites across cell mem-branes, such as B vitamins, which are indispensable to metabolic reactions crucial to the survival of diverse microbes ranging from members of environmental microbial communities to human pathogens. Methods to accurately assign function and specificity for a wide range of experimentally unidentified and/or predicted membrane-embedded transport proteins, and characterization of intra-cellular enzyme-cofactor/nutrient associations are needed to enable a significantly improved understanding of microbial biochemis-try and physiology, how microbes associate with others, and how they sense and respond to environmental perturbations. Chemical probes derived from B vitamins B1, B2, and B7 have allowed us to experimentally address the aforementioned needs by identifying B vitamin transporters and intracellular protein-cofactor associations through live cell labeling of the filamentous anoxygenic pho-toheterotroph, Chloroflexus aurantiacus J-10-fl, known for both B vitamin biosynthesis and environmental salvage. Our probes provide a unique opportunity to directly link cellular activity and protein function back to ecosystem and/or host dynamics by iden-tifying B vitamin transport and disposition mechanisms required for survival.

  2. Live Cell Discovery of Microbial Vitamin Transport and Enzyme-Cofactor Interactions

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, Lindsey N.; Koech, Phillip K.; Plymale, Andrew E.; Landorf , Elizabeth V.; Konopka, Allan; Collart, Frank; Lipton, Mary S.; Romine, Margaret F.; Wright, Aaron T.

    2016-02-02

    The rapid completion of microbial genomes is inducing a conundrum in functional gene discovery. Novel methods are critically needed to shorten the gap between characterizing a microbial genome and experimentally validating bioinformatically-predicted functions. Of particular importance are transport mechanisms, used to shuttle nutrients and metabolites across cell mem-branes, such as B vitamins, which are indispensable to metabolic reactions crucial to the survival of diverse microbes ranging from members of environmental microbial communities to human pathogens. Methods to accurately assign function and specificity for a wide range of experimentally unidentified and/or predicted membrane-embedded transport proteins, and characterization of intra-cellular enzyme-cofactor/nutrient associations are needed to enable a significantly improved understanding of microbial biochemis-try and physiology, how microbes associate with others, and how they sense and respond to environmental perturbations. Chemical probes derived from B vitamins B1, B2, and B7 have allowed us to experimentally address the aforementioned needs by identifying B vitamin transporters and intracellular protein-cofactor associations through live cell labeling of the filamentous anoxygenic pho-toheterotroph, Chloroflexus aurantiacus J-10-fl, known for both B vitamin biosynthesis and environmental salvage. Our probes provide a unique opportunity to directly link cellular activity and protein function back to ecosystem and/or host dynamics by iden-tifying B vitamin transport and disposition mechanisms required for survival.

  3. An in vivo-like tumor stem cell-related glioblastoma in vitro model for drug discovery

    DEFF Research Database (Denmark)

    Jensen, Stine Skov; Aaberg-Jessen, Charlotte; Nørregaard, Annette;

    the effects of new drugs on tumor cells including tumor stem cells. Implantation of glioblastoma cells into organotypic brain slice cultures has previously been published as a model system, but not using a stem cell favourable environment. Organotypic corticostriatal rat brain slice cultures were prepared......The discovery of tumor stem cells being highly resistant against therapy makes new demands to model systems suitable for evaluation of the effects of new drugs on tumor stem cells. The aim of the present study was therefore to develop an in vivo-like in vitro glioblastoma model for testing...... and cultured in a serum containing medium replaced after three days with a serum-free stem cell medium. Thereafter fluorescent DiI labelled glioblastoma spheroids from the cell line U87 and the tumor stem cell line SJ-1 established in our laboratory were implanted into the brain slices between cortex...

  4. Drug Repositioning Discovery for Early- and Late-Stage Non-Small-Cell Lung Cancer

    Directory of Open Access Journals (Sweden)

    Chien-Hung Huang

    2014-01-01

    Full Text Available Drug repositioning is a popular approach in the pharmaceutical industry for identifying potential new uses for existing drugs and accelerating the development time. Non-small-cell lung cancer (NSCLC is one of the leading causes of death worldwide. To reduce the biological heterogeneity effects among different individuals, both normal and cancer tissues were taken from the same patient, hence allowing pairwise testing. By comparing early- and late-stage cancer patients, we can identify stage-specific NSCLC genes. Differentially expressed genes are clustered separately to form up- and downregulated communities that are used as queries to perform enrichment analysis. The results suggest that pathways for early- and late-stage cancers are different. Sets of up- and downregulated genes were submitted to the cMap web resource to identify potential drugs. To achieve high confidence drug prediction, multiple microarray experimental results were merged by performing meta-analysis. The results of a few drug findings are supported by MTT assay or clonogenic assay data. In conclusion, we have been able to assess the potential existing drugs to identify novel anticancer drugs, which may be helpful in drug repositioning discovery for NSCLC.

  5. Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs.

    Science.gov (United States)

    Zheng, Yiyu; Li, Xiaoman; Hu, Haiyan

    2015-01-01

    Comprehensive motif discovery under experimental conditions is critical for the global understanding of gene regulation. To generate a nearly complete list of human DNA motifs under given conditions, we employed a novel approach to de novo discover significant co-occurring DNA motifs in 349 human DNase I hypersensitive site datasets. We predicted 845 to 1325 motifs in each dataset, for a total of 2684 non-redundant motifs. These 2684 motifs contained 54.02 to 75.95% of the known motifs in seven large collections including TRANSFAC. In each dataset, we also discovered 43 663 to 2 013 288 motif modules, groups of motifs with their binding sites co-occurring in a significant number of short DNA regions. Compared with known interacting transcription factors in eight resources, the predicted motif modules on average included 84.23% of known interacting motifs. We further showed new features of the predicted motifs, such as motifs enriched in proximal regions rarely overlapped with motifs enriched in distal regions, motifs enriched in 5' distal regions were often enriched in 3' distal regions, etc. Finally, we observed that the 2684 predicted motifs classified the cell or tissue types of the datasets with an accuracy of 81.29%. The resources generated in this study are available at http://server.cs.ucf.edu/predrem/.

  6. Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.

    Directory of Open Access Journals (Sweden)

    Sharon J Pitteri

    Full Text Available The complexity of the human plasma proteome represents a substantial challenge for biomarker discovery. Proteomic analysis of genetically engineered mouse models of cancer and isolated cancer cells and cell lines provide alternative methods for identification of potential cancer markers that would be detectable in human blood using sensitive assays. The goal of this work is to evaluate the utility of an integrative strategy using these two approaches for biomarker discovery.We investigated a strategy that combined quantitative plasma proteomics of an ovarian cancer mouse model with analysis of proteins secreted or shed by human ovarian cancer cells. Of 106 plasma proteins identified with increased levels in tumor bearing mice, 58 were also secreted or shed from ovarian cancer cells. The remainder consisted primarily of host-response proteins. Of 25 proteins identified in the study that were assayed, 8 mostly secreted proteins common to mouse plasma and human cancer cells were significantly upregulated in a set of plasmas from ovarian cancer patients. Five of the eight proteins were confirmed to be upregulated in a second independent set of ovarian cancer plasmas, including in early stage disease.Integrated proteomic analysis of cancer mouse models and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.

  7. Cell surface profiling using high-throughput flow cytometry: a platform for biomarker discovery and analysis of cellular heterogeneity.

    Directory of Open Access Journals (Sweden)

    Craig A Gedye

    Full Text Available Cell surface proteins have a wide range of biological functions, and are often used as lineage-specific markers. Antibodies that recognize cell surface antigens are widely used as research tools, diagnostic markers, and even therapeutic agents. The ability to obtain broad cell surface protein profiles would thus be of great value in a wide range of fields. There are however currently few available methods for high-throughput analysis of large numbers of cell surface proteins. We describe here a high-throughput flow cytometry (HT-FC platform for rapid analysis of 363 cell surface antigens. Here we demonstrate that HT-FC provides reproducible results, and use the platform to identify cell surface antigens that are influenced by common cell preparation methods. We show that multiple populations within complex samples such as primary tumors can be simultaneously analyzed by co-staining of cells with lineage-specific antibodies, allowing unprecedented depth of analysis of heterogeneous cell populations. Furthermore, standard informatics methods can be used to visualize, cluster and downsample HT-FC data to reveal novel signatures and biomarkers. We show that the cell surface profile provides sufficient molecular information to classify samples from different cancers and tissue types into biologically relevant clusters using unsupervised hierarchical clustering. Finally, we describe the identification of a candidate lineage marker and its subsequent validation. In summary, HT-FC combines the advantages of a high-throughput screen with a detection method that is sensitive, quantitative, highly reproducible, and allows in-depth analysis of heterogeneous samples. The use of commercially available antibodies means that high quality reagents are immediately available for follow-up studies. HT-FC has a wide range of applications, including biomarker discovery, molecular classification of cancers, or identification of novel lineage specific or stem cell

  8. A yeast surface display system for the discovery of ligands that trigger cell activation.

    Science.gov (United States)

    Cho, B K; Kieke, M C; Boder, E T; Wittrup, K D; Kranz, D M

    1998-11-01

    Opposing cells often communicate signalling events using multivalent interactions between receptors present on their cell surface. For example, T cells are typically activated when the T cell receptor (TCR) and its associated costimulatory molecules are multivalently engaged by the appropriate ligands present on an antigen presenting cell. In this report, yeast expressing high cell-surface levels of a TCR ligand (a recombinant antibody to the TCR Vbeta domain) were shown to act as 'pseudo' antigen presenting cells and induce T cell activation as monitored by increased levels of CD25 and CD69 and by downregulation of cell surface TCR. Similar levels of T cell activation could occur even when a 30-fold excess of irrelevant yeast was present, suggesting that such a yeast display system, by virtue of its ability to present ligands multivalently, may be used in highly sensitive procedures to identify novel polypeptides that interact multivalently with cell surface receptors and thereby trigger specific cellular responses.

  9. Discovery of Potent Myeloid Cell Leukemia 1 (Mcl-1) Inhibitors Using Fragment-Based Methods and Structure-Based Design

    Energy Technology Data Exchange (ETDEWEB)

    Friberg, Anders [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Vigil, Dominico [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Zhao, Bin [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Daniels, R. Nathan [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Burke, Jason P. [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Garcia-Barrantes, Pedro M. [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Camper, DeMarco [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Chauder, Brian A. [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Lee, Taekyu [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Olejniczak, Edward T. [Vanderbilt Univ. School of Medicine, Nashville, TN (United States); Fesik, Stephen W. [Vanderbilt Univ. School of Medicine, Nashville, TN (United States)

    2012-12-17

    Myeloid cell leukemia 1 (Mcl-1), a member of the Bcl-2 family of proteins, is overexpressed and amplified in various cancers and promotes the aberrant survival of tumor cells that otherwise would undergo apoptosis. Here we describe the discovery of potent and selective Mcl-1 inhibitors using fragment-based methods and structure-based design. NMR-based screening of a large fragment library identified two chemically distinct hit series that bind to different sites on Mcl-1. Members of the two fragment classes were merged together to produce lead compounds that bind to Mcl-1 with a dissociation constant of <100 nM with selectivity for Mcl-1 over Bcl-xL and Bcl-2. Structures of merged compounds when complexed to Mcl-1 were obtained by X-ray crystallography and provide detailed information about the molecular recognition of small-molecule ligands binding Mcl-1. The compounds represent starting points for the discovery of clinically useful Mcl-1 inhibitors for the treatment of a wide variety of cancers.

  10. Recent Advances in Disease Modeling and Drug Discovery for Diabetes Mellitus Using Induced Pluripotent Stem Cells

    OpenAIRE

    Kawser Hossain, Mohammed; Abdal Dayem, Ahmed; Han, Jihae; Kumar Saha, Subbroto; Yang, Gwang-Mo; Choi, Hye Yeon; Cho, Ssang-Goo

    2016-01-01

    Diabetes mellitus (DM) is a widespread metabolic disease with a progressive incidence of morbidity and mortality worldwide. Despite extensive research, treatment options for diabetic patients remains limited. Although significant challenges remain, induced pluripotent stem cells (iPSCs) have the capacity to differentiate into any cell type, including insulin-secreting pancreatic β cells, highlighting its potential as a treatment option for DM. Several iPSC lines have recently been derived fro...

  11. Recent Advances in Disease Modeling and Drug Discovery for Diabetes Mellitus Using Induced Pluripotent Stem Cells

    Directory of Open Access Journals (Sweden)

    Mohammed Kawser Hossain

    2016-02-01

    Full Text Available Diabetes mellitus (DM is a widespread metabolic disease with a progressive incidence of morbidity and mortality worldwide. Despite extensive research, treatment options for diabetic patients remains limited. Although significant challenges remain, induced pluripotent stem cells (iPSCs have the capacity to differentiate into any cell type, including insulin-secreting pancreatic β cells, highlighting its potential as a treatment option for DM. Several iPSC lines have recently been derived from both diabetic and healthy donors. Using different reprogramming techniques, iPSCs were differentiated into insulin-secreting pancreatic βcells. Furthermore, diabetes patient-derived iPSCs (DiPSCs are increasingly being used as a platform to perform cell-based drug screening in order to develop DiPSC-based cell therapies against DM. Toxicity and teratogenicity assays based on iPSC-derived cells can also provide additional information on safety before advancing drugs to clinical trials. In this review, we summarize recent advances in the development of techniques for differentiation of iPSCs or DiPSCs into insulin-secreting pancreatic β cells, their applications in drug screening, and their role in complementing and replacing animal testing in clinical use. Advances in iPSC technologies will provide new knowledge needed to develop patient-specific iPSC-based diabetic therapies.

  12. Human embryonic stem cells as a model for cardiac gene discovery : from chip to chap

    NARCIS (Netherlands)

    Beqqali, A.

    2008-01-01

    Here we described the use of human embryonic stem cells (hESCs) as a model to obtain insights into commitment to the mesoderm and endoderm lineages and the early steps in human cardiac cell differentiation by means of whole-genome temporal expression profiling. Furthermore, we used it as an approach

  13. Recent Advances in Disease Modeling and Drug Discovery for Diabetes Mellitus Using Induced Pluripotent Stem Cells.

    Science.gov (United States)

    Kawser Hossain, Mohammed; Abdal Dayem, Ahmed; Han, Jihae; Kumar Saha, Subbroto; Yang, Gwang-Mo; Choi, Hye Yeon; Cho, Ssang-Goo

    2016-01-01

    Diabetes mellitus (DM) is a widespread metabolic disease with a progressive incidence of morbidity and mortality worldwide. Despite extensive research, treatment options for diabetic patients remains limited. Although significant challenges remain, induced pluripotent stem cells (iPSCs) have the capacity to differentiate into any cell type, including insulin-secreting pancreatic β cells, highlighting its potential as a treatment option for DM. Several iPSC lines have recently been derived from both diabetic and healthy donors. Using different reprogramming techniques, iPSCs were differentiated into insulin-secreting pancreatic βcells. Furthermore, diabetes patient-derived iPSCs (DiPSCs) are increasingly being used as a platform to perform cell-based drug screening in order to develop DiPSC-based cell therapies against DM. Toxicity and teratogenicity assays based on iPSC-derived cells can also provide additional information on safety before advancing drugs to clinical trials. In this review, we summarize recent advances in the development of techniques for differentiation of iPSCs or DiPSCs into insulin-secreting pancreatic β cells, their applications in drug screening, and their role in complementing and replacing animal testing in clinical use. Advances in iPSC technologies will provide new knowledge needed to develop patient-specific iPSC-based diabetic therapies.

  14. Using Osteoclast Differentiation as a Model for Gene Discovery in an Undergraduate Cell Biology Laboratory

    Science.gov (United States)

    Birnbaum, Mark J.; Picco, Jenna; Clements, Meghan; Witwicka, Hanna; Yang, Meiheng; Hoey, Margaret T.; Odgren, Paul R.

    2010-01-01

    A key goal of molecular/cell biology/biotechnology is to identify essential genes in virtually every physiological process to uncover basic mechanisms of cell function and to establish potential targets of drug therapy combating human disease. This article describes a semester-long, project-oriented molecular/cellular/biotechnology laboratory…

  15. A multi-gene transcriptional profiling approach to the discovery of cell signature markers.

    Science.gov (United States)

    Wada, Youichiro; Li, Dan; Merley, Anne; Zukauskas, Andrew; Aird, William C; Dvorak, Harold F; Shih, Shou-Ching

    2011-01-01

    A profile of transcript abundances from multiple genes constitutes a molecular signature if the expression pattern is unique to one cell type. Here we measure mRNA copy numbers per cell by normalizing per million copies of 18S rRNA and identify 6 genes (TIE1, KDR, CDH5, TIE2, EFNA1 and MYO5C) out of 79 genes tested as excellent molecular signature markers for endothelial cells (ECs) in vitro. The selected genes are uniformly expressed in ECs of 4 different origins but weakly or not expressed in 4 non-EC cell lines. A multi-gene transcriptional profile of these 6 genes clearly distinguishes ECs from non-ECs in vitro. We conclude that (i) a profile of mRNA copy numbers per cell from a well-chosen multi-gene panel can act as a sensitive and accurate cell type signature marker, and (ii) the method described here can be applied to in vivo cell fingerprinting and molecular diagnosis. PMID:20972619

  16. Discovery of Uranium in Outer Coat of Sri Lankan Red Rain Cells

    Science.gov (United States)

    Miyake, Nori; Matsui, Takafumi; Wallis, Jamie; Wallis, Daryl H.; Samaranayake, Anil; Wickramarathne, Keerthi; Wickramasinghe, N. Chandra

    2013-03-01

    The microbial content of the red rain that fell over central Sri Lanka in November/December 2012 shows generic similarities to that of the Kerala red rain. Light microscope examination of the Sri Lankan red rain indicates that the defining red rain cells exist in the presence of other microorganisms including diatoms. We report the results of a preliminary TEM study of the red rain cells that shows them to have outer cell walls unusually rich in uranium, and a nuclear region with a strong deficit or absence of phosphorus.

  17. A multi-gene transcriptional profiling approach to the discovery of cell signature markers

    OpenAIRE

    Wada, Youichiro; Li, Dan; Merley, Anne; Zukauskas, Andrew; Aird, William C.; Dvorak, Harold F.; Shih, Shou-Ching

    2010-01-01

    A profile of transcript abundances from multiple genes constitutes a molecular signature if the expression pattern is unique to one cell type. Here we measure mRNA copy numbers per cell by normalizing per million copies of 18S rRNA and identify 6 genes (TIE1, KDR, CDH5, TIE2, EFNA1 and MYO5C) out of 79 genes tested as excellent molecular signature markers for endothelial cells (ECs) in vitro. The selected genes are uniformly expressed in ECs of 4 different origins but weakly or not expressed ...

  18. Combination of Small Molecule Microarray and Confocal Microscopy Techniques for Live Cell Staining Fluorescent Dye Discovery

    Directory of Open Access Journals (Sweden)

    Attila Bokros

    2013-08-01

    Full Text Available Discovering new fluorochromes is significantly advanced by high-throughput screening (HTS methods. In the present study a combination of small molecule microarray (SMM prescreening and confocal laser scanning microscopy (CLSM was developed in order to discover novel cell staining fluorescent dyes. Compounds with high native fluorescence were selected from a 14,585-member library and further tested on living cells under the microscope. Eleven compartment-specific, cell-permeable (or plasma membrane-targeted fluorochromes were identified. Their cytotoxicity was tested and found that between 1–10 micromolar range, they were non-toxic even during long-term incubations.

  19. Stem Cell Hydrogel, Jump-Starting Zika Drug Discovery, and Engineering RNA Recognition.

    Science.gov (United States)

    Kostic, Milka

    2016-08-18

    Every month the editors of Cell Chemical Biology bring you highlights of the most recent chemical biology literature that impressed them with creativity and potential for follow up work. Our August 2016 selection includes a description of hydrogels with self-tunable stiffness that are used to profile lipid metabolites during stems cell differentiation, a look at whether we can find a drug repurposing solution to Zika virus infection, and an engineered RNA recognition motif (RRM). PMID:27541191

  20. Induced Pluripotent Stem Cells: Applications in regenerative medicine, disease modelling and drug discovery

    Directory of Open Access Journals (Sweden)

    Vimal kishor Singh

    2015-02-01

    Full Text Available Recent progresses in the field of Induced Pluripotent Stem Cells (iPSCs have opened up many gateways for the research in therapeutics. iPSCs are the cells which are reprogrammed from somatic cells using different transcription factors. IPSCs possess unique properties of self renewal and differentiation to many types of cell lineage. Hence could replace the use of embryonic stem cells, and may overcome the various ethical issues regarding the use of embryos in research and clinics. Overwhelming responses prompted worldwide by a large number of researchers about the use of iPSCs evoked a large number of peple to establish more authentic methods for iPSC generation. This would require understanding the underlying mechanism in a detailed manner. There have been a large number of reports showing potential role of different molecules as putative regulators of iPSC generating methods. The molecular mechanisms that play role in reprogramming to generate iPSCs from different types of somatic cell sources involves a plethora of molecules including miRNAs, DNA modifying agents (viz. DNA methyl transferases, NANOG, etc. While promising a number of important roles in various clinical/research studies, iPSCs could also be of great use in studying molecular mechanism of many diseases. There are various diseases that have been modelled by uing iPSCs for better understanding of their etiology which maybe further utilized for developing putative treatments for these diseases. In addition, iPSCs are used for the production of patient-specific cells which can be transplanted to the site of injury or the site of tissue degeneration due to various disease conditions. The use of iPSCs may eliminate the chances of immune rejection as patient specific cells may be used for transplantation in various engraftment processes. Moreover, iPSC technology has been employed in various diseases for disease modelling and gene therapy. The technique offers benefits over other

  1. Synovial fluid and synovial membrane mesenchymal stem cells: latest discoveries and therapeutic perspectives

    OpenAIRE

    de Sousa, Eduardo Branco; Casado, Priscila Ladeira; Neto, Vivaldo Moura; Duarte, Maria Eugenia Leite; Aguiar, Diego Pinheiro

    2014-01-01

    Mesenchymal stem cells (MSCs) have the ability to differentiate into osteoblasts, chondroblasts, adipocytes, and even myoblasts. Most studies have focused on finding MSCs in different parts of the body for medical treatment. Every joint structure, including bone, joint fat, articular cartilage, and synovium, potentially contains resident MSCs. Recently, a progenitor cell population has been found in synovial fluid and showed similarities with both bone marrow and synovial membrane MSCs. Synov...

  2. Discovery of molecular associations among aging, stem cells, and cancer based on gene expression profiling

    Institute of Scientific and Technical Information of China (English)

    Xiaosheng Wang

    2013-01-01

    The emergence of a huge volume of "omics" data enables a computational approach to the investigation of the biology of cancer.The cancer informatics approach is a useful supplement to the traditional experimental approach.I reviewed several reports that used a bioinformatics approach to analyze the associations among aging,stem cells,and cancer by microarray gene expression profiling.The high expression of aging-or human embryonic stem cell-related molecules in cancer suggests that certain important mechanisms are commonly underlying aging,stem cells,and cancer.These mechanisms are involved in cell cycle regulation,metabolic process,DNA damage response,apoptosis,p53 signaling pathway,immune/inflammatory response,and other processes,suggesting that cancer is a developmental and evolutional disease that is strongly related to aging.Moreover,these mechanisms demonstrate that the initiation,proliferation,and metastasis of cancer are associated with the deregulation of stem cells.These findings provide insights into the biology of cancer.Certainly,the findings that are obtained by the informatics approach should be justified by experimental validation.This review also noted that next-generation sequencing data provide enriched sources for cancer informatics study.

  3. Discovery of a Small-Molecule BMP Sensitizer for Human Embryonic Stem Cell Differentiation

    Directory of Open Access Journals (Sweden)

    Lingling Feng

    2016-05-01

    Full Text Available Sorely missing from the “toolkit” for directed differentiation of stem/progenitor cells are agonists of the BMP-signaling pathway. Using a high-throughput chemical screen, we discovered that PD407824, a checkpoint kinase 1 (CHK1 inhibitor, increases the sensitivity of cells to sub-threshold amounts of BMP4. We show utility of the compound in the directed differentiation of human embryonic stem cells toward mesoderm or cytotrophoblast stem cells. Blocking CHK1 activity using pharmacological compounds or CHK1 knockout using single guide RNA (sgRNA confirmed that CHK1 inhibition increases the sensitivity to BMP4 treatment. Additional mechanistic studies indicate that CHK1 inhibition depletes p21 levels, thereby activating CDK8/9, which then phosphorylates the SMAD2/3 linker region, leading to decreased levels of SMAD2/3 protein and enhanced levels of nuclear SMAD1. This study provides insight into mechanisms controlling the BMP/transforming growth factor beta (TGF-β signaling pathways and a useful pharmacological reagent for directed differentiation of stem cells.

  4. Discovery of molecular associations among aging, stem cells, and cancer based on gene expression profiling.

    Science.gov (United States)

    Wang, Xiaosheng

    2013-04-01

    The emergence of a huge volume of "omics" data enables a computational approach to the investigation of the biology of cancer. The cancer informatics approach is a useful supplement to the traditional experimental approach. I reviewed several reports that used a bioinformatics approach to analyze the associations among aging, stem cells, and cancer by microarray gene expression profiling. The high expression of aging- or human embryonic stem cell-related molecules in cancer suggests that certain important mechanisms are commonly underlying aging, stem cells, and cancer. These mechanisms are involved in cell cycle regulation, metabolic process, DNA damage response, apoptosis, p53 signaling pathway, immune/inflammatory response, and other processes, suggesting that cancer is a developmental and evolutional disease that is strongly related to aging. Moreover, these mechanisms demonstrate that the initiation, proliferation, and metastasis of cancer are associated with the deregulation of stem cells. These findings provide insights into the biology of cancer. Certainly, the findings that are obtained by the informatics approach should be justified by experimental validation. This review also noted that next-generation sequencing data provide enriched sources for cancer informatics study.

  5. Clinical implications of basic science discoveries: janus resurrected--two faces of B cell and plasma cell biology.

    Science.gov (United States)

    Woodle, E S; Rothstein, D M

    2015-01-01

    B cells play a complex role in the immune response. In addition to giving rise to plasma cells (PCs) and promoting T cell responses via antigen presentation, they perform immunoregulatory functions. This knowledge has created concerns regarding nonspecific B cell depletional therapy because of the potential to paradoxically augment immune responses. Recent studies now indicate that PCs have immune functions beyond immunoglobulin synthesis. Evidence for a new role for PCs as potent regulatory cells (via IL-10 and IL-35 production) is discussed including the implications for PC-targeted therapies currently being developed for clinical transplantation.

  6. Discovery of molecular markers to discriminate corneal endothelial cells in the human body

    NARCIS (Netherlands)

    Yoshihara, Masahito; Ohmiya, Hiroko; Hara, Susumu; Kawasaki, Satoshi; Hayashizaki, Yoshihide; Itoh, Masayoshi; Kawaji, Hideya; Tsujikawa, Motokazu; Nishida, Kohji; Clevers, J.C.; van de Wetering, M.L.

    2015-01-01

    The corneal endothelium is a monolayer of hexagonal corneal endothelial cells (CECs) on the inner surface of the cornea. CECs are critical in maintaining corneal transparency through their barrier and pump functions. CECs in vivo have a limited capacity in proliferation, and loss of a significant nu

  7. A cell-free framework for rapid biosynthetic pathway prototyping and enzyme discovery.

    Science.gov (United States)

    Karim, Ashty S; Jewett, Michael C

    2016-07-01

    Speeding up design-build-test (DBT) cycles is a fundamental challenge facing biochemical engineering. To address this challenge, we report a new cell-free protein synthesis driven metabolic engineering (CFPS-ME) framework for rapid biosynthetic pathway prototyping. In our framework, cell-free cocktails for synthesizing target small molecules are assembled in a mix-and-match fashion from crude cell lysates either containing selectively enriched pathway enzymes from heterologous overexpression or directly producing pathway enzymes in lysates by CFPS. As a model, we apply our approach to n-butanol biosynthesis showing that Escherichia coli lysates support a highly active 17-step CoA-dependent n-butanol pathway in vitro. The elevated degree of flexibility in the cell-free environment allows us to manipulate physiochemical conditions, access enzymatic nodes, discover new enzymes, and prototype enzyme sets with linear DNA templates to study pathway performance. We anticipate that CFPS-ME will facilitate efforts to define, manipulate, and understand metabolic pathways for accelerated DBT cycles without the need to reengineer organisms. PMID:26996382

  8. Global discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation

    NARCIS (Netherlands)

    Alvarez-Dominguez, Juan R; Hu, Wenqian; Yuan, Bingbing; Shi, Jiahai; Park, Staphany S; Gromatzky, Austin A; van Oudenaarden, Alexander; Lodish, Harvey F

    2014-01-01

    Erythropoiesis is regulated at multiple levels to ensure the proper generation of mature red cells under multiple physiological conditions. To probe the contribution of long noncoding RNAs (lncRNAs) to this process, we examined >1 billion RNA-seq reads of polyadenylated and nonpolyadenylated RNA fro

  9. Discovery of an inhibitor of the production of the Pseudomonas aeruginosa virulence factor pyocyanin in wild-type cells

    Science.gov (United States)

    Morkunas, Bernardas; Gal, Balint; Galloway, Warren R J D; Hodgkinson, James T; Ibbeson, Brett M; Sing Tan, Yaw; Welch, Martin

    2016-01-01

    Summary Pyocyanin is a small molecule produced by Pseudomonas aeruginosa that plays a crucial role in the pathogenesis of infections by this notorious opportunistic pathogen. The inhibition of pyocyanin production has been identified as an attractive antivirulence strategy for the treatment of P. aeruginosa infections. Herein, we report the discovery of an inhibitor of pyocyanin production in cultures of wild-type P. aeruginosa which is based around a 4-alkylquinolin-2(1H)-one scaffold. To the best of our knowledge, this is the first reported example of pyocyanin inhibition by a compound based around this molecular framework. The compound may therefore be representative of a new structural sub-class of pyocyanin inhibitors, which could potentially be exploited in in a therapeutic context for the development of critically needed new antipseudomonal agents. In this context, the use of wild-type cells in this study is notable, since the data obtained are of direct relevance to native situations. The compound could also be of value in better elucidating the role of pyocyanin in P. aeruginosa infections. Evidence suggests that the active compound reduces the level of pyocyanin production by inhibiting the cell–cell signalling mechanism known as quorum sensing. This could have interesting implications; quorum sensing regulates a range of additional elements associated with the pathogenicity of P. aeruginosa and there is a wide range of other potential applications where the inhibition of quorum sensing is desirable. PMID:27559393

  10. Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation

    Science.gov (United States)

    Coppe, Alessandro; Ferrari, Francesco; Bisognin, Andrea; Danieli, Gian Antonio; Ferrari, Sergio; Bicciato, Silvio; Bortoluzzi, Stefania

    2009-01-01

    Genes co-expressed may be under similar promoter-based and/or position-based regulation. Although data on expression, position and function of human genes are available, their true integration still represents a challenge for computational biology, hampering the identification of regulatory mechanisms. We carried out an integrative analysis of genomic position, functional annotation and promoters of genes expressed in myeloid cells. Promoter analysis was conducted by a novel multi-step method for discovering putative regulatory elements, i.e. over-represented motifs, in a selected set of promoters, as compared with a background model. The combination of transcriptional, structural and functional data allowed the identification of sets of promoters pertaining to groups of genes co-expressed and co-localized in regions of the human genome. The application of motif discovery to 26 groups of genes co-expressed in myeloid cells differentiation and co-localized in the genome showed that there are more over-represented motifs in promoters of co-expressed and co-localized genes than in promoters of simply co-expressed genes (CEG). Motifs, which are similar to the binding sequences of known transcription factors, non-uniformly distributed along promoter sequences and/or occurring in highly co-expressed subset of genes were identified. Co-expressed and co-localized gene sets were grouped in two co-expressed genomic meta-regions, putatively representing functional domains of a high-level expression regulation. PMID:19059999

  11. Drug Discovery Models and Toxicity Testing Using Embryonic and Induced Pluripotent Stem-Cell-Derived Cardiac and Neuronal Cells

    OpenAIRE

    Deshmukh, Rahul S.; Kovács, Krisztián A; Dinnyés, András

    2012-01-01

    Development of induced pluripotent stem cells (iPSCs) using forced expression of specific sets of transcription factors has changed the field of stem cell research extensively. Two important limitations for research application of embryonic stem cells (ESCs), namely, ethical and immunological issues, can be circumvented using iPSCs. Since the development of first iPSCs, tremendous effort has been directed to the development of methods to increase the efficiency of the process and to reduce th...

  12. Drug discovery toward successful cell transplantation therapy for Parkinson’s disease using human pluripotent stem cells

    OpenAIRE

    Nishimura, Kaneyasu; Takahashi, Jun

    2016-01-01

    Cell transplantation therapy using human pluripotent stem cell (PSC)–derived midbrain dopaminergic (mDA) neurons is soon expected to be available for patients with Parkinson’s disease (PD). Highly efficient and reproducible protocols for the induction of mDA neurons for clinical application have already been reported, and the therapeutic potential and safety of these cells have been studied in parkinsonian animal models as preclinical trials. However, a new strategy that improves the survival...

  13. Global discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation.

    Science.gov (United States)

    Alvarez-Dominguez, Juan R; Hu, Wenqian; Yuan, Bingbing; Shi, Jiahai; Park, Staphany S; Gromatzky, Austin A; van Oudenaarden, Alexander; Lodish, Harvey F

    2014-01-23

    Erythropoiesis is regulated at multiple levels to ensure the proper generation of mature red cells under multiple physiological conditions. To probe the contribution of long noncoding RNAs (lncRNAs) to this process, we examined >1 billion RNA-seq reads of polyadenylated and nonpolyadenylated RNA from differentiating mouse fetal liver red blood cells and identified 655 lncRNA genes including not only intergenic, antisense, and intronic but also pseudogene and enhancer loci. More than 100 of these genes are previously unrecognized and highly erythroid specific. By integrating genome-wide surveys of chromatin states, transcription factor occupancy, and tissue expression patterns, we identify multiple lncRNAs that are dynamically expressed during erythropoiesis, show epigenetic regulation, and are targeted by key erythroid transcription factors GATA1, TAL1, or KLF1. We focus on 12 such candidates and find that they are nuclear-localized and exhibit complex developmental expression patterns. Depleting them severely impaired erythrocyte maturation, inhibiting cell size reduction and subsequent enucleation. One of them, alncRNA-EC7, is transcribed from an enhancer and is specifically needed for activation of the neighboring gene encoding BAND 3. Our study provides an annotated catalog of erythroid lncRNAs, readily available through an online resource, and shows that diverse types of lncRNAs participate in the regulatory circuitry underlying erythropoiesis.

  14. Volatility Discovery

    DEFF Research Database (Denmark)

    Dias, Gustavo Fruet; Scherrer, Cristina; Papailias, Fotis

    There is a large literature that investigates how homogenous securities traded on different markets incorporate new information (price discovery analysis). We extend this concept to the stochastic volatility process and investigate how markets contribute to the efficient stochastic volatility whi...

  15. Discovery of a new human T-cell lymphotropic virus (HTLV-3 in Central Africa

    Directory of Open Access Journals (Sweden)

    Mahieux Renaud

    2005-05-01

    Full Text Available Abstract Human T-cell Leukemia virus type 1 (HTLV-1 and type 2 (HTLV-2 are pathogenic retroviruses that infect humans and cause severe hematological and neurological diseases. Both viruses have simian counterparts (STLV-1 and STLV-2. STLV-3 belongs to a third group of lymphotropic viruses which infect numerous African monkeys species. Among 240 Cameroonian plasma tested for the presence of HTLV-1 and/or HTLV-2 antibodies, 48 scored positive by immunofluorescence. Among those, 27 had indeterminate western-blot pattern. PCR amplification of pol and tax regions, using HTLV-1, -2 and STLV-3 highly conserved primers, demonstrated the presence of a new human retrovirus in one DNA sample. tax (180 bp and pol (318 bp phylogenetic analyses demonstrated the strong relationships between the novel human strain (Pyl43 and STLV-3 isolates from Cameroon. The virus, that we tentatively named HTLV-3, originated from a 62 years old Bakola Pygmy living in a remote settlement in the rain forest of Southern Cameroon. The plasma was reactive on MT2 cells but was negative on C19 cells. The HTLV 2.4 western-blot exhibited a strong reactivity to p19 and a faint one to MTA-1. On the INNO-LIA strip, it reacted faintly with the generic p19 (I/II, but strongly to the generic gp46 (I/II and to the specific HTLV-2 gp46. The molecular relationships between Pyl43 and STLV-3 are thus not paralleled by the serological results, as most of the STLV-3 infected monkeys have an "HTLV-2 like" WB pattern. In the context of the multiple interspecies transmissions which occurred in the past, and led to the present-day distribution of the PTLV-1, it is thus very tempting to speculate that this newly discovered human retrovirus HTLV-3 might be widespread, at least in the African continent.

  16. A cell-based fluorescent glucose transporter assay for SGLT2 inhibitor discovery

    OpenAIRE

    Yi Huan; Linyi Li; Quan Liu; Shuainan Liu; Zhufang Shen

    2013-01-01

    The sodium/glucose cotransporter 2 (SGLT2) is responsible for the majority of glucose reabsorption in the kidney, and currently, SGLT2 inhibitors are considered as promising hypoglycemic agents for the treatment of type 2 diabetes mellitus. By constructing CHO cell lines that stably express the human SGLT2 transmembrane protein, along with a fluorescent glucose transporter assay that uses 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]2-deoxyglucose (2-NBDG) as a glucose analog, we have develo...

  17. Discovery of Power-Law Growth in the Self-Renewal of Heterogeneous Glioma Stem Cell Populations.

    Directory of Open Access Journals (Sweden)

    Michiya Sugimori

    glioma stem cell populations. That the data always fit a power-law suggests that: (i clone sizes follow continuous, non-random, and scale-free hierarchy; (ii precise biologic rules that reflect self-organizing emergent behaviors govern the generation of neurospheres. That the power-law behavior and the original GS heterogeneity are maintained over multiple passages indicates that these rules are invariant. These self-organizing mechanisms very likely underlie tumor heterogeneity during tumor growth. Discovery of this power-law behavior provides a mechanism that could be targeted in the development of new, more effective, anti-cancer agents.

  18. 76 FR 51374 - Direct Discovery of HLA Associated Influenza Epitopes Isolated From Human Cells for Vaccine and...

    Science.gov (United States)

    2011-08-18

    ... HUMAN SERVICES Food and Drug Administration Direct Discovery of HLA Associated Influenza Epitopes... Number: 93.103. A. Background Knowledge on how viral and self proteins are processed and presented in HLA... will provide the regulatory science to facilitate development and evaluation of direct discovery of...

  19. Platelets are versatile cells: New discoveries in hemostasis, thrombosis, immune responses, tumor metastasis and beyond.

    Science.gov (United States)

    Xu, Xiaohong Ruby; Zhang, Dan; Oswald, Brigitta Elaine; Carrim, Naadiya; Wang, Xiaozhong; Hou, Yan; Zhang, Qing; Lavalle, Christopher; McKeown, Thomas; Marshall, Alexandra H; Ni, Heyu

    2016-12-01

    Platelets are small anucleate blood cells generated from megakaryocytes in the bone marrow and cleared in the reticuloendothelial system. At the site of vascular injury, platelet adhesion, activation and aggregation constitute the first wave of hemostasis. Blood coagulation, which is initiated by the intrinsic or extrinsic coagulation cascades, is the second wave of hemostasis. Activated platelets can also provide negatively-charged surfaces that harbor coagulation factors and markedly potentiate cell-based thrombin generation. Recently, deposition of plasma fibronectin, and likely other plasma proteins, onto the injured vessel wall has been identified as a new "protein wave of hemostasis" that may occur even earlier than the first wave of hemostasis, platelet accumulation. Although no experimental evidence currently exists, it is conceivable that platelets may also contribute to this protein wave of hemostasis by releasing their granule fibronectin and other proteins that may facilitate fibronectin self- and non-self-assembly on the vessel wall. Thus, platelets may contribute to all three waves of hemostasis and are central players in this critical physiological process to prevent bleeding. Low platelet counts in blood caused by enhanced platelet clearance and/or impaired platelet production are usually associated with hemorrhage. Auto- and allo-immune thrombocytopenias such as idiopathic thrombocytopenic purpura and fetal and neonatal alloimmune thrombocytopenia may cause life-threatening bleeding such as intracranial hemorrhage. When triggered under pathological conditions such as rupture of an atherosclerotic plaque, excessive platelet activation and aggregation may result in thrombosis and vessel occlusion. This may lead to myocardial infarction or ischemic stroke, the major causes of mortality and morbidity worldwide. Platelets are also involved in deep vein thrombosis and thromboembolism, another leading cause of mortality. Although fibrinogen has been

  20. Pseudomonas aeruginosa: targeting cell-wall metabolism for new antibacterial discovery and development.

    Science.gov (United States)

    Lamers, Ryan P; Burrows, Lori L

    2016-06-01

    Pseudomonas aeruginosa is a leading cause of hospital-acquired infections and is resistant to most antibiotics. With therapeutic options against P. aeruginosa dwindling, and the lack of new antibiotics in advanced developmental stages, strategies for preserving the effectiveness of current antibiotics are urgently required. β-Lactam antibiotics are important agents for treating P. aeruginosa infections, thus, adjuvants that potentiate the activity of these compounds are desirable for extending their lifespan while new antibiotics - or antibiotic classes - are discovered and developed. In this review, we discuss recent research that has identified exploitable targets of cell-wall metabolism for the design and development of compounds that hinder resistance and potentiate the activity of antipseudomonal β-lactams. PMID:27228070

  1. Discovery of a low order drug-cell response surface for applications in personalized medicine

    International Nuclear Information System (INIS)

    The cell is a complex system involving numerous components, which may often interact in a non-linear dynamic manner. Diseases at the cellular level are thus likely to involve multiple cellular constituents and pathways. As some drugs, or drug combinations, may act synergistically on these multiple pathways, they might be more effective than the respective single target agents. Optimizing a drug mixture for a given disease in a particular patient is particularly challenging due to both the difficulty in the selection of the drug mixture components to start out with, and the all-important doses of these drugs to be applied. For n concentrations of m drugs, in principle, nm combinations will have to be tested. As this may lead to a costly and time-consuming investigation for each individual patient, we have developed a Feedback System Control (FSC) technique which can rapidly select the optimal drug–dose combination from the often millions of possible combinations. By testing this FSC technique in a number of experimental systems representing different disease states, we found that the response of cells to multiple drugs is well described by a low order, rather smooth, drug-mixture-input/drug-effect-output multidimensional surface. The main consequences of this are that optimal drug combinations can be found in a surprisingly small number of tests, and that translation from in vitro to in vivo is simplified. This points to the possibility of personalized optimal drug mixtures in the near future. This unexpectedly simple input–output relationship may also lead to a simple solution for handling the issue of human diversity in cancer therapeutics. (paper)

  2. Discovery of a small-molecule binder of the oncoprotein gankyrin that modulates gankyrin activity in the cell

    Science.gov (United States)

    Chattopadhyay, Anasuya; O’Connor, Cornelius J.; Zhang, Fengzhi; Galvagnion, Celine; Galloway, Warren R. J. D.; Tan, Yaw Sing; Stokes, Jamie E.; Rahman, Taufiq; Verma, Chandra; Spring, David R.; Itzhaki, Laura S.

    2016-04-01

    Gankyrin is an ankyrin-repeat oncoprotein whose overexpression has been implicated in the development of many cancer types. Elevated gankyrin levels are linked to aberrant cellular events including enhanced degradation of tumour suppressor protein p53, and inhibition of gankyrin activity has therefore been identified as an attractive anticancer strategy. Gankyrin interacts with several partner proteins, and a number of these protein-protein interactions (PPIs) are of relevance to cancer. Thus, molecules that bind the PPI interface of gankyrin and interrupt these interactions are of considerable interest. Herein, we report the discovery of a small molecule termed cjoc42 that is capable of binding to gankyrin. Cell-based experiments demonstrate that cjoc42 can inhibit gankyrin activity in a dose-dependent manner: cjoc42 prevents the decrease in p53 protein levels normally associated with high amounts of gankyrin, and it restores p53-dependent transcription and sensitivity to DNA damage. The results represent the first evidence that gankyrin is a “druggable” target with small molecules.

  3. Combined blood/tissue analysis for cancer biomarker discovery: application to renal cell carcinoma.

    Science.gov (United States)

    Johann, Donald J; Wei, Bih-Rong; Prieto, DaRue A; Chan, King C; Ye, Xiaying; Valera, Vladimir A; Simpson, R Mark; Rudnick, Paul A; Xiao, Zhen; Issaq, Haleem J; Linehan, W Marston; Stein, Stephen E; Veenstra, Timothy D; Blonder, Josip

    2010-03-01

    A method that relies on subtractive tissue-directed shot-gun proteomics to identify tumor proteins in the blood of a patient newly diagnosed with cancer is described. To avoid analytical and statistical biases caused by physiologic variability of protein expression in the human population, this method was applied on clinical specimens obtained from a single patient diagnosed with nonmetastatic renal cell carcinoma (RCC). The proteomes extracted from tumor, normal adjacent tissue and preoperative plasma were analyzed using 2D-liquid chromatography-mass spectrometry (LC-MS). The lists of identified proteins were filtered to discover proteins that (i) were found in the tumor but not normal tissue, (ii) were identified in matching plasma, and (iii) whose spectral count was higher in tumor tissue than plasma. These filtering criteria resulted in identification of eight tumor proteins in the blood. Subsequent Western-blot analysis confirmed the presence of cadherin-5, cadherin-11, DEAD-box protein-23, and pyruvate kinase in the blood of the patient in the study as well as in the blood of four other patients diagnosed with RCC. These results demonstrate the utility of a combined blood/tissue analysis strategy that permits the detection of tumor proteins in the blood of a patient diagnosed with RCC. PMID:20121140

  4. Discovery of TUG-770

    DEFF Research Database (Denmark)

    Christiansen, Elisabeth; Hansen, Steffen V F; Urban, Christian;

    2013-01-01

    Free fatty acid receptor 1 (FFA1 or GPR40) enhances glucose-stimulated insulin secretion from pancreatic β-cells and currently attracts high interest as a new target for the treatment of type 2 diabetes. We here report the discovery of a highly potent FFA1 agonist with favorable physicochemical...

  5. Beyond Discovery

    DEFF Research Database (Denmark)

    Korsgaard, Steffen; Sassmannshausen, Sean Patrick

    2015-01-01

    as their central concepts and conceptualization of the entrepreneurial function. On this basis we discuss three central themes that cut across the four alternatives: process, uncertainty, and agency. These themes provide new foci for entrepreneurship research and can help to generate new research questions......In this chapter we explore four alternatives to the dominant discovery view of entrepreneurship; the development view, the construction view, the evolutionary view, and the Neo-Austrian view. We outline the main critique points of the discovery presented in these four alternatives, as well...

  6. Optogenetics enlightens neuroscience drug discovery.

    Science.gov (United States)

    Song, Chenchen; Knöpfel, Thomas

    2016-02-01

    Optogenetics - the use of light and genetics to manipulate and monitor the activities of defined cell populations - has already had a transformative impact on basic neuroscience research. Now, the conceptual and methodological advances associated with optogenetic approaches are providing fresh momentum to neuroscience drug discovery, particularly in areas that are stalled on the concept of 'fixing the brain chemistry'. Optogenetics is beginning to translate and transit into drug discovery in several key domains, including target discovery, high-throughput screening and novel therapeutic approaches to disease states. Here, we discuss the exciting potential of optogenetic technologies to transform neuroscience drug discovery.

  7. 5,10b-Ethanophenanthridine amaryllidaceae alkaloids inspire the discovery of novel bicyclic ring systems with activity against drug resistant cancer cells.

    Science.gov (United States)

    Henry, Sean; Kidner, Ria; Reisenauer, Mary R; Magedov, Igor V; Kiss, Robert; Mathieu, Véronique; Lefranc, Florence; Dasari, Ramesh; Evidente, Antonio; Yu, Xiaojie; Ma, Xiuye; Pertsemlidis, Alexander; Cencic, Regina; Pelletier, Jerry; Cavazos, David A; Brenner, Andrew J; Aksenov, Alexander V; Rogelj, Snezna; Kornienko, Alexander; Frolova, Liliya V

    2016-09-14

    Plants of the Amaryllidaceae family produce a large variety of alkaloids and non-basic secondary metabolites, many of which are investigated for their promising anticancer activities. Of these, crinine-type alkaloids based on the 5,10b-ethanophenanthridine ring system were recently shown to be effective at inhibiting proliferation of cancer cells resistant to various pro-apoptotic stimuli and representing tumors with dismal prognoses refractory to current chemotherapy, such as glioma, melanoma, non-small-cell lung, esophageal, head and neck cancers, among others. Using this discovery as a starting point and taking advantage of a concise biomimetic route to the crinine skeleton, a collection of crinine analogues were synthetically prepared and evaluated against cancer cells. The compounds exhibited single-digit micromolar activities and retained this activity in a variety of drug-resistant cancer cell cultures. This investigation resulted in the discovery of new bicyclic ring systems with significant potential in the development of effective clinical cancer drugs capable of overcoming cancer chemotherapy resistance. PMID:27218860

  8. Discovery Mondays

    CERN Document Server

    2003-01-01

    Many people don't realise quite how much is going on at CERN. Would you like to gain first-hand knowledge of CERN's scientific and technological activities and their many applications? Try out some experiments for yourself, or pick the brains of the people in charge? If so, then the «Lundis Découverte» or Discovery Mondays, will be right up your street. Starting on May 5th, on every first Monday of the month you will be introduced to a different facet of the Laboratory. CERN staff, non-scientists, and members of the general public, everyone is welcome. So tell your friends and neighbours and make sure you don't miss this opportunity to satisfy your curiosity and enjoy yourself at the same time. You won't have to listen to a lecture, as the idea is to have open exchange with the expert in question and for each subject to be illustrated with experiments and demonstrations. There's no need to book, as Microcosm, CERN's interactive museum, will be open non-stop from 7.30 p.m. to 9 p.m. On the first Discovery M...

  9. Discovery of a gamma heavy chain disease in a patient followed-up for a lymphoplasma cell proliferative disorder.

    Science.gov (United States)

    Humeau, Camille; Monjanel, Hélène; Schellenberg, François

    2016-06-01

    Gamma-heavy chains disease is a rare disease, with very few cases described in the literature. It is characterized by the presence of a monoclonal gamma-heavy chain without associated light chain. Its prevalence and prognosis are unknown. We report here the accidental discovery of a case of gamma-heavy chain disease during a pancytopenia exploration, performed in the hospital, in a patient known since 2002 for a lymphoplasmacytic type lymphoma first localized in bone marrow. PMID:27237805

  10. One decade after the discovery of single-cell C4 species in terrestrial plants: what did we learn about the minimal requirements of C4 photosynthesis?

    Science.gov (United States)

    Sharpe, Richard M; Offermann, Sascha

    2014-02-01

    Until about 10 years ago the general accepted textbook knowledge was that terrestrial C4 photosynthesis requires separation of photosynthetic functions into two specialized cell types, the mesophyll and bundle sheath cells forming the distinctive Kranz anatomy typical for C4 plants. This paradigm has been broken with the discovery of Suaeda aralocaspica, a chenopod from central Asia, performing C4 photosynthesis within individual chlorenchyma cells. Since then, three more single-cell C4 (SCC4) species have been discovered in the genus Bienertia. They are interesting not only because of their unusual mode of photosynthesis but also present a puzzle for cell biologists. In these species, two morphological and biochemical specialized types of chloroplasts develop within individual chlorenchyma cells, a situation that has never been observed in plants before. Here we review recent literature concerning the biochemistry, physiology, and molecular biology of SCC4 photosynthesis. Particularly, we focus on what has been learned in relation to the following questions: How does the specialized morphology required for the operation of SCC4 develop and is there a C3 intermediate type of photosynthesis during development? What is the degree of specialization between the two chloroplast types and how does this compare to the chloroplasts of Kranz C4 species? How do nucleus-encoded proteins that are targeted to chloroplasts accumulate differentially in the two chloroplast types and how efficient is the CO2 concentrating mechanism in SCC4 species compared to the Kranz C4 forms?

  11. Discovery of Small-Molecule Enhancers of Reactive Oxygen Species That are Nontoxic or Cause Genotype-Selective Cell Death

    OpenAIRE

    Adams, Drew J.; Boskovic, Zarko; Theriault, Jimmy R.; Wang, Alex J.; Stern, Andrew M.; Wagner, Bridget K.; Shamji, Alykhan Farid; Schreiber, Stuart L.

    2013-01-01

    Elevation of reactive oxygen species (ROS) levels has been observed in many cancer cells relative to nontransformed cells, and recent reports have suggested that small-molecule enhancers of ROS may selectively kill cancer cells in various in vitro and in vivo models. We used a high-throughput screening approach to identify several hundred small-molecule enhancers of ROS in a human osteosarcoma cell line. A minority of these compounds diminished the viability of cancer cell lines, indicating t...

  12. In Vitro Assessment of the Inflammatory Breast Cancer Cell Line SUM 149: Discovery of 2 Single Nucleotide Polymorphisms in the RNase L Gene

    Directory of Open Access Journals (Sweden)

    Brandon T. Nokes, Heather E. Cunliffe, Bonnie LaFleur, David W. Mount, Robert B. Livingston, Bernard W. Futscher, Julie E. Lang

    2013-01-01

    Full Text Available Background: Inflammatory breast cancer (IBC is a rare, highly aggressive form of breast cancer. The mechanism of IBC carcinogenesis remains unknown. We sought to evaluate potential genetic risk factors for IBC and whether or not the IBC cell lines SUM149 and SUM190 demonstrated evidence of viral infection.Methods: We performed single nucleotide polymorphism (SNP genotyping for 2 variants of the ribonuclease (RNase L gene that have been correlated with the risk of prostate cancer due to a possible viral etiology. We evaluated dose-response to treatment with interferon-alpha (IFN-α; and assayed for evidence of the putative human mammary tumor virus (HMTV, which has been implicated in IBC in SUM149 cells. A bioinformatic analysis was performed to evaluate expression of RNase L in IBC and non-IBC.Results: 2 of 2 IBC cell lines were homozygous for RNase L common missense variants 462 and 541; whereas 2 of 10 non-IBC cell lines were homozygous positive for the 462 variant (p= 0.09 and 0 of 10 non-IBC cell lines were homozygous positive for the 541 variant (p = 0.015. Our real-time polymerase chain reaction (RT-PCR and Southern blot analysis for sequences of HMTV revealed no evidence of the putative viral genome.Conclusion: We discovered 2 SNPs in the RNase L gene that were homozygously present in IBC cell lines. The 462 variant was absent in non-IBC lines. Our discovery of these SNPs present in IBC cell lines suggests a possible biomarker for risk of IBC. We found no evidence of HMTV in SUM149 cells. A query of a panel of human IBC and non-IBC samples showed no difference in RNase L expression. Further studies of the RNase L 462 and 541 variants in IBC tissues are warranted to validate our in vitro findings.

  13. Implications of Parkinson's disease pathophysiology for the development of cell replacement strategies and drug discovery in neurodegenerative diseases.

    Science.gov (United States)

    Pan-Montojo, Francisco; Funk, Richard H W

    2012-11-01

    Parkinson's disease (PD) is a progressive neurodegenerative disorder traditionally characterized by the loss of dopaminergic neurons in the substantia nigra (SN) at the midbrain. The potential use of adult or embryonic stem cells, induced pluriputent stem (iPS) cells and endogenous neurogenesis in cell replacement strategies has lead to numerous studies and clinical trials in this direction. It is now possible to differentiate stem cells into dopaminergic neurons in vitro and clinical trials have shown an improvement in PD-related symptoms after intra-striatal embryonic transplants and acceptable cell survival rates on the mid term. However, clinical improvement is transitory and associated with a strong placebo effect. Interestingly, recent pathological studies in PD patients who received embryonic stem cells show that in PD patients, grafted neurons show PD-related pathology. In this manuscript we review the latest findings regarding PD pathophysiology and give an outlook on the implications of these findings in how cell replacement strategies for PD treatment should be tested. These include changes in the type of animal models used, the preparation/conditioning of the cells before intracerebral injection, specially regarding backbone chronic diseases in iPS cells and determining the optimal proliferation, survival, differentiation and migration capacity of the grafted cells.

  14. A novel antibody discovery platform identifies anti-influenza A broadly neutralizing antibodies from human memory B cells.

    Science.gov (United States)

    Xiao, Xiaodong; Chen, Yan; Varkey, Reena; Kallewaard, Nicole; Koksal, Adem C; Zhu, Qing; Wu, Herren; Chowdhury, Partha S; Dall'Acqua, William F

    2016-07-01

    Monoclonal antibody isolation directly from circulating human B cells is a powerful tool to delineate humoral responses to pathological conditions and discover antibody therapeutics. We have developed a platform aimed at improving the efficiencies of B cell selection and V gene recovery. Here, memory B cells are activated and amplified using Epstein-Barr virus infection, co-cultured with CHO-muCD40L cells, and then assessed by functional screenings. An in vitro transcription and translation (IVTT) approach was used to analyze variable (V) genes recovered from each B cell sample and identify the relevant heavy/light chain pair(s). We achieved efficient amplification and activation of memory B cells, and eliminated the need to: 1) seed B cells at clonal level (≤1 cell/well) or perform limited dilution cloning; 2) immortalize B cells; or 3) assemble V genes into an IgG expression vector to confirm the relevant heavy/light chain pairing. Cross-reactive antibodies targeting a conserved epitope on influenza A hemagglutinin were successfully isolated from a healthy donor. In-depth analysis of the isolated antibodies suggested their potential uses as anti-influenza A antibody therapeutics and uncovered a distinct affinity maturation pathway. Importantly, our results showed that cognate heavy/light chain pairings contributed to both the expression level and binding abilities of our newly isolated VH1-69 family, influenza A neutralizing antibodies, contrasting with previous observations that light chains do not significantly contribute to the function of this group of antibodies. Our results further suggest the potential use of the IVTT as a powerful antibody developability assessment tool. PMID:27049174

  15. Cholangiocarcinomas: New Insights from the Discovery of Stem Cell Niches in Peribiliary Glands of the Biliary Tree

    Directory of Open Access Journals (Sweden)

    Vincenzo Cardinale

    2014-01-01

    Full Text Available Peribiliary glands (PBGs are located in the large intrahepatic and extrahepatic bile ducts. Although they were described many years ago, their functions have been elucidated only in the last couple of years when our group demonstrated that PBGs are niches of multipotent stem/progenitor cells of endodermal origin. These cells express genes of multipotency and can be rapidly differentiated in vitro into hepatocytes, cholangiocytes, and endocrine pancreatic cells. PBGs share common features, in terms of stem/progenitor cell niches, with pancreatic duct glands and colon crypts, glandular structures representing in the adult life the endodermal remnants of fetal life. PBG stem/progenitor cells participate in the renewal of surface biliary epithelium and are active players in chronic pathologies of the biliary tree as well as in cholangiocarcinomas (CCA. Specifically, a large amount of recent evidence indicates that the pure mucin-CCA originates from PBGs; this could explain the similarities with pancreatic ductal adenocarcinoma and colorectal cancer, which also originate from transformed gland cells. In this paper, we summarized our recent findings concerning structure and functions of PBGs with the implications for liver pathophysiology and, specifically, for cancers of the biliary tree.

  16. Discovery of a dual-targeting organometallic ruthenium complex with high activity inducing early stage apoptosis of cancer cells.

    Science.gov (United States)

    Du, Jun; Zhang, Erlong; Zhao, Yao; Zheng, Wei; Zhang, Yang; Lin, Yu; Wang, Zhaoying; Luo, Qun; Wu, Kui; Wang, Fuyi

    2015-12-01

    Ruthenium based complexes are promising antitumour candidates due to their lower toxicity and better water-solubility compared to the platinum antitumour complexes. An epidermal growth factor receptor (EGFR) has been found to be overexpressed in a large set of tumour cells. In this work, a series of organoruthenium complexes containing EGFR-inhibiting 4-anilinoquinazoline pharmacophores were synthesised and characterised. These complexes exhibited excellent inhibitory activity against EGFR and high affinity to interact with DNA via minor groove binding, featuring dual-targeting properties. In vitro screening demonstrated that the as-prepared ruthenium complexes are anti-proliferating towards a series of cancer cell lines, in particular the non-small-cell lung cancer cell line A549. Fluorescence-activated cell sorting analysis and fluorescence microscopy revealed that the most active complex 3 induced much more early-stage cell apoptosis than its cytotoxic arene ruthenium analogue and the EGFR-inhibiting 4-anilinoquinazolines, verifying the synergetic effect of the two mono-functional pharmacophores. PMID:26446567

  17. Metabolic labeling of Caenorhabditis elegans primary embryonic cells with azido-sugars as a tool for glycoprotein discovery.

    Directory of Open Access Journals (Sweden)

    Amanda R Burnham-Marusich

    Full Text Available Glycobiology research with Caenorhabditis elegans (C. elegans has benefitted from the numerous genetic and cell biology tools available in this system. However, the lack of a cell line and the relative inaccessibility of C. elegans somatic cells in vivo have limited the biochemical approaches available in this model. Here we report that C. elegans primary embryonic cells in culture incorporate azido-sugar analogs of N-acetylgalactosamine (GalNAc and N-acetylglucosamine (GlcNAc, and that the labeled glycoproteins can be analyzed by mass spectrometry. By using this metabolic labeling approach, we have identified a set of novel C. elegans glycoprotein candidates, which include several mitochondrially-annotated proteins. This observation was unexpected given that mitochondrial glycoproteins have only rarely been reported, and it suggests that glycosylation of mitochondrially-annotated proteins might occur more frequently than previously thought. Using independent experimental strategies, we validated a subset of our glycoprotein candidates. These include a mitochondrial, atypical glycoprotein (ATP synthase α-subunit, a predicted glycoprotein (aspartyl protease, ASP-4, and a protein family with established glycosylation in other species (actin. Additionally, we observed a glycosylated isoform of ATP synthase α-subunit in bovine heart tissue and a primate cell line (COS-7. Overall, our finding that C. elegans primary embryonic cells are amenable to metabolic labeling demonstrates that biochemical studies in C. elegans are feasible, which opens the door to labeling C. elegans cells with other radioactive or azido-substrates and should enable the identification of additional post-translationally modified targets and analysis of the genes required for their modification using C. elegans mutant libraries.

  18. Quantitative proteomics of the Neisseria gonorrhoeae cell envelope and membrane vesicles for the discovery of potential therapeutic targets.

    Science.gov (United States)

    Zielke, Ryszard A; Wierzbicki, Igor H; Weber, Jacob V; Gafken, Philip R; Sikora, Aleksandra E

    2014-05-01

    Neisseria gonorrhoeae (GC) is a human-specific pathogen, and the agent of a sexually transmitted disease, gonorrhea. There is a critical need for new approaches to study and treat GC infections because of the growing threat of multidrug-resistant isolates and the lack of a vaccine. Despite the implied role of the GC cell envelope and membrane vesicles in colonization and infection of human tissues and cell lines, comprehensive studies have not been undertaken to elucidate their constituents. Accordingly, in pursuit of novel molecular therapeutic targets, we have applied isobaric tagging for absolute quantification coupled with liquid chromatography and mass spectrometry for proteome quantitative analyses. Mining the proteome of cell envelopes and native membrane vesicles revealed 533 and 168 common proteins, respectively, in analyzed GC strains FA1090, F62, MS11, and 1291. A total of 22 differentially abundant proteins were discovered including previously unknown proteins. Among those proteins that displayed similar abundance in four GC strains, 34 were found in both cell envelopes and membrane vesicles fractions. Focusing on one of them, a homolog of an outer membrane protein LptD, we demonstrated that its depletion caused loss of GC viability. In addition, we selected for initial characterization six predicted outer membrane proteins with unknown function, which were identified as ubiquitous in the cell envelopes derived from examined GC isolates. These studies entitled a construction of deletion mutants and analyses of their resistance to different chemical probes. Loss of NGO1985, in particular, resulted in dramatically decreased GC viability upon treatment with detergents, polymyxin B, and chloramphenicol, suggesting that this protein functions in the maintenance of the cell envelope permeability barrier. Together, these findings underscore the concept that the cell envelope and membrane vesicles contain crucial, yet under-explored determinants of GC

  19. Bio-Activity and Dereplication-Based Discovery of Ophiobolins and Other Fungal Secondary Metabolites Targeting Leukemia Cells

    DEFF Research Database (Denmark)

    Bladt, Tanja Thorskov; Dürr, Claudia; Knudsen, Peter Boldsen;

    2013-01-01

    The purpose of this study was to identify and characterize fungal natural products (NPs) with in vitro bioactivity towards leukemia cells. We based our screening on a combined analytical and bio-guided approach of LC-DAD-HRMS dereplication, explorative solid-phase extraction (E-SPE), and a co......-culture platform of CLL and stromal cells. A total of 289 fungal extracts were screened and we tracked the activity to single compounds in seven of the most active extracts. The novel ophiobolin U was isolated together with the known ophiobolins C, H, K as well as 6-epiophiobolins G, K and N from three fungal...... strains in the Aspergillus section Usti. Ophiobolins A, B, C and K displayed bioactivity towards leukemia cells with induction of apoptosis at nanomolar concentrations. The remaining ophiobolins were mainly inactive or only slightly active at micromolar concentrations. Dereplication of those ophiobolin...

  20. From discovery to approval of an advanced therapy medicinal product-containing stem cells, in the EU.

    Science.gov (United States)

    Pellegrini, Graziella; Lambiase, Alessandro; Macaluso, Claudio; Pocobelli, Augusto; Deng, Sophie; Cavallini, Gian Maria; Esteki, Roza; Rama, Paolo

    2016-06-01

    In 1997, the human corneal epithelium was reconstructed in vitro and transplanted on patients. Later, it became a routine treatment, before regulations considered advanced therapy medicinal products and drugs on the same lines. Manufacturing, before and after good manufacturing practice setting, was established in different facilities and the clinical application in several hospitals. Advanced therapy medicinal products, including stem cells, are unique products with different challenges than other drugs: some uncertainties, in addition to benefit, cannot be avoided. This review will focus on all recent developments in the stem cell-based corneal therapy.

  1. Nod2-Nodosome in a Cell-Free System: Implications in Pathogenesis and Drug Discovery for Blau Syndrome and Early-Onset Sarcoidosis

    Directory of Open Access Journals (Sweden)

    Tomoyuki Iwasaki

    2016-01-01

    Full Text Available Nucleotide-binding oligomerization domain-containing protein (Nod 2 is an intracellular pattern recognition receptor, which recognizes muramyl dipeptide (N-Acetylmuramyl-L-Alanyl-D-Isoglutamine: MDP, a bacterial peptidoglycan component, and makes a NF-κB-activating complex called nodosome with adaptor protein RICK (RIP2/RIPK2. Nod2 mutants are associated with the autoinflammatory diseases, Blau syndrome (BS/early-onset sarcoidosis (EOS. For drug discovery of BS/EOS, we tried to develop Nod2-nodosome in a cell-free system. FLAG-tagged RICK, biotinylated-Nod2, and BS/EOS-associated Nod2 mutants were synthesized, and proximity signals between FLAG-tagged and biotinylated proteins were detected by amplified luminescent proximity homogeneous assay (ALPHA. Upon incubation with MDP, the ALPHA signal of interaction between Nod2-WT and RICK was increased in a dose-dependent manner. The ALPHA signal of interaction between RICK and the BS/EOS-associated Nod2 mutants was more significantly increased than Nod2-WT. Notably, the ALPHA signal between Nod2-WT and RICK was increased upon incubation with MDP, but not when incubated with the same concentrations, L-alanine, D-isoglutamic acid, or the MDP-D-isoform. Thus, we successfully developed Nod2-nodosome in a cell-free system reflecting its function in vivo, and it can be useful for screening Nod2-nodosome-targeted therapeutic molecules for BS/EOS and granulomatous inflammatory diseases.

  2. Microscopy Opening Up New Cancer Discovery Avenues

    Science.gov (United States)

    Today’s high-powered microscopes are allowing researchers to study the fine details of individual cells and to peer into cells, opening up new avenues of discovery about the inner workings of cells, including the events that can cause healthy cells to tra

  3. Human Biomarker Discovery and Predictive Models for Disease Progression for Idiopathic Pneumonia Syndrome Following Allogeneic Stem Cell Transplantation*

    OpenAIRE

    Schlatzer, Daniela M.; Dazard, Jean-Eudes; Ewing, Rob M.; Ilchenko, Serguei; Tomcheko, Sara E.; Eid, Saada; Ho, Vincent; Yanik, Greg; Chance, Mark R.; Cooke, Kenneth R.

    2012-01-01

    Allogeneic hematopoietic stem cell transplantation (SCT) is the only curative therapy for many malignant and nonmalignant conditions. Idiopathic pneumonia syndrome (IPS) is a frequently fatal complication that limits successful outcomes. Preclinical models suggest that IPS represents an immune mediated attack on the lung involving elements of both the adaptive and the innate immune system. However, the etiology of IPS in humans is less well understood. To explore the disease pathway and uncov...

  4. An Enzyme- and Serum-free Neural Stem Cell Culture Model for EMT Investigation Suited for Drug Discovery.

    Science.gov (United States)

    Sailer, Martin H M; Sarvepalli, Durga; Brégère, Catherine; Fisch, Urs; Guentchev, Marin; Weller, Michael; Guzman, Raphael; Bettler, Bernhard; Ghosh, Arkasubhra; Hutter, Gregor

    2016-01-01

    Epithelial to mesenchymal transition (EMT) describes the process of epithelium transdifferentiating into mesenchyme. EMT is a fundamental process during embryonic development that also commonly occurs in glioblastoma, the most frequent malignant brain tumor. EMT has also been observed in multiple carcinomas outside the brain including breast cancer, lung cancer, colon cancer, gastric cancer. EMT is centrally linked to malignancy by promoting migration, invasion and metastasis formation. The mechanisms of EMT induction are not fully understood. Here we describe an in vitro system for standardized isolation of cortical neural stem cells (NSCs) and subsequent EMT-induction. This system provides the flexibility to use either single cells or explant culture. In this system, rat or mouse embryonic forebrain NSCs are cultured in a defined medium, devoid of serum and enzymes. The NSCs expressed Olig2 and Sox10, two transcription factors observed in oligodendrocyte precursor cells (OPCs). Using this system, interactions between FGF-, BMP- and TGFβ-signaling involving Zeb1, Zeb2, and Twist2 were observed where TGFβ-activation significantly enhanced cell migration, suggesting a synergistic BMP-/TGFβ-interaction. The results point to a network of FGF-, BMP- and TGFβ-signaling to be involved in EMT induction and maintenance. This model system is relevant to investigate EMT in vitro. It is cost-efficient and shows high reproducibility. It also allows for the comparison of different compounds with respect to their migration responses (quantitative distance measurement), and high-throughput screening of compounds to inhibit or enhance EMT (qualitative measurement). The model is therefore well suited to test drug libraries for substances affecting EMT. PMID:27583933

  5. Transcriptomic-Wide Discovery of Direct and Indirect HuR RNA Targets in Activated CD4+ T Cells.

    Directory of Open Access Journals (Sweden)

    Patsharaporn Techasintana

    Full Text Available Due to poor correlation between steady state mRNA levels and protein product, purely transcriptomic profiling methods may miss genes posttranscriptionally regulated by RNA binding proteins (RBPs and microRNAs (miRNAs. RNA immunoprecipitation (RIP methods developed to identify in vivo targets of RBPs have greatly elucidated those mRNAs which may be regulated via transcript stability and translation. The RBP HuR (ELAVL1 and family members are major stabilizers of mRNA. Many labs have identified HuR mRNA targets; however, many of these analyses have been performed in cell lines and oftentimes are not independent biological replicates. Little is known about how HuR target mRNAs behave in conditional knock-out models. In the present work, we performed HuR RIP-Seq and RNA-Seq to investigate HuR direct and indirect targets using a novel conditional knock-out model of HuR genetic ablation during CD4+ T activation and Th2 differentiation. Using independent biological replicates, we generated a high coverage RIP-Seq data set (>160 million reads that was analyzed using bioinformatics methods specifically designed to find direct mRNA targets in RIP-Seq data. Simultaneously, another set of independent biological replicates were sequenced by RNA-Seq (>425 million reads to identify indirect HuR targets. These direct and indirect targets were combined to determine canonical pathways in CD4+ T cell activation and differentiation for which HuR plays an important role. We show that HuR may regulate genes in multiple canonical pathways involved in T cell activation especially the CD28 family signaling pathway. These data provide insights into potential HuR-regulated genes during T cell activation and immune mechanisms.

  6. Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation

    OpenAIRE

    Coppe, Alessandro; Ferrari, Francesco; Bisognin, Andrea; Danieli, Gian Antonio; Ferrari, Sergio; Bicciato, Silvio; Bortoluzzi, Stefania

    2008-01-01

    Genes co-expressed may be under similar promoter-based and/or position-based regulation. Although data on expression, position and function of human genes are available, their true integration still represents a challenge for computational biology, hampering the identification of regulatory mechanisms. We carried out an integrative analysis of genomic position, functional annotation and promoters of genes expressed in myeloid cells. Promoter analysis was conducted by a novel multi-step method...

  7. Histological observation of germ cell development and discovery of spermatophores in ovoviviparous black rockfish ( Sebastes schlegeli Hilgendorf) in reproductive season

    Science.gov (United States)

    Feng, Junrong; Liu, Liming; Jiang, Haibin; Wang, Maojian; Du, Rongbin

    2014-10-01

    Black rockfish ( Sebastes schlegeli) is an important species for culture; however, its reproductive characteristics have not been fully documented. In this study, we investigated the morphology and developmental process of germ cells in this ovoviviparous rockfish in reproductive season (October 2011-November 2012) with histological methods. We found that the gonad of mature fish showed notable seasonal changes in developmental characteristics and morphological structure. The sperm cells matured during a period lasting from October to December, significantly earlier than the oocytes did. A large number of spermatozoa and other cells occurred in testis at different developmental stages. Vitellogenesis in oocytes began in October, and gestation appeared in April next year. Spermatophores were discovered for the first time in Sebastes, which assembled in testis, main sperm duct, oviduct and genital tract, as well as ovarian cavity in October and April. These organs may serve either as production or hiding places for spermatophores and spermatozoa which were stored and transported in form of spermatophores. Testicular degeneration started from the distal part of testis in April, with spermatophores assembled in degenerating testis and waiting for transportation. The copulation probably lasted for a long period, during which the spermatozoa were discharged in batches as spermatophores. These spermatophores were coated with sticky materials secreted from the interstitial areas of testis and the main sperm duct, then transported into ovary.

  8. Bio-Activity and Dereplication-Based Discovery of Ophiobolins and Other Fungal Secondary Metabolites Targeting Leukemia Cells

    Directory of Open Access Journals (Sweden)

    Tanja Thorskov Bladt

    2013-11-01

    Full Text Available The purpose of this study was to identify and characterize fungal natural products (NPs with in vitro bioactivity towards leukemia cells. We based our screening on a combined analytical and bio-guided approach of LC-DAD-HRMS dereplication, explorative solid-phase extraction (E-SPE, and a co-culture platform of CLL and stromal cells. A total of 289 fungal extracts were screened and we tracked the activity to single compounds in seven of the most active extracts. The novel ophiobolin U was isolated together with the known ophiobolins C, H, K as well as 6-epiophiobolins G, K and N from three fungal strains in the Aspergillus section Usti. Ophiobolins A, B, C and K displayed bioactivity towards leukemia cells with induction of apoptosis at nanomolar concentrations. The remaining ophiobolins were mainly inactive or only slightly active at micromolar concentrations. Dereplication of those ophiobolin derivatives possessing different activity in combination with structural analysis allowed a correlation of the chemical structure and conformation with the extent of bioactivity, identifying the hydroxy group at C3 and an aldehyde at C21, as well as the A/B-cis ring structure, as indispensible for the strong activity of the ophiobolins. The known compounds penicillic acid, viridicatumtoxin, calbistrin A, brefeldin A, emestrin A, and neosolaniol monoacetate were identified from the extracts and also found generally cytotoxic.

  9. HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in T cell immunology and vaccinology.

    Science.gov (United States)

    Zhang, Guang Lan; Riemer, Angelika B; Keskin, Derin B; Chitkushev, Lou; Reinherz, Ellis L; Brusic, Vladimir

    2014-01-01

    High-risk human papillomaviruses (HPVs) are the causes of many cancers, including cervical, anal, vulvar, vaginal, penile and oropharyngeal. To facilitate diagnosis, prognosis and characterization of these cancers, it is necessary to make full use of the immunological data on HPV available through publications, technical reports and databases. These data vary in granularity, quality and complexity. The extraction of knowledge from the vast amount of immunological data using data mining techniques remains a challenging task. To support integration of data and knowledge in virology and vaccinology, we developed a framework called KB-builder to streamline the development and deployment of web-accessible immunological knowledge systems. The framework consists of seven major functional modules, each facilitating a specific aspect of the knowledgebase construction process. Using KB-builder, we constructed the Human Papillomavirus T cell Antigen Database (HPVdb). It contains 2781 curated antigen entries of antigenic proteins derived from 18 genotypes of high-risk HPV and 18 genotypes of low-risk HPV. The HPVdb also catalogs 191 verified T cell epitopes and 45 verified human leukocyte antigen (HLA) ligands. Primary amino acid sequences of HPV antigens were collected and annotated from the UniProtKB. T cell epitopes and HLA ligands were collected from data mining of scientific literature and databases. The data were subject to extensive quality control (redundancy elimination, error detection and vocabulary consolidation). A set of computational tools for an in-depth analysis, such as sequence comparison using BLAST search, multiple alignments of antigens, classification of HPV types based on cancer risk, T cell epitope/HLA ligand visualization, T cell epitope/HLA ligand conservation analysis and sequence variability analysis, has been integrated within the HPVdb. Predicted Class I and Class II HLA binding peptides for 15 common HLA alleles are included in this database as

  10. Identification of a novel MTOR activator and discovery of a competing endogenous RNA regulating autophagy in vascular endothelial cells.

    Science.gov (United States)

    Ge, Di; Han, Lei; Huang, ShuYa; Peng, Nan; Wang, PengChong; Jiang, Zheng; Zhao, Jing; Su, Le; Zhang, ShangLi; Zhang, Yun; Kung, HsiangFu; Zhao, BaoXiang; Miao, JunYing

    2014-06-01

    MTOR, a central regulator of autophagy, is involved in cancer and cardiovascular and neurological diseases. Modulating the MTOR signaling balance could be of great significance for numerous diseases. No chemical activators of MTOR have been found, and the urgent challenge is to find novel MTOR downstream components. In previous studies, we found a chemical small molecule, 3-benzyl-5-((2-nitrophenoxy) methyl)-dihydrofuran-2(3H)-one (3BDO), that inhibited autophagy in human umbilical vein endothelial cells (HUVECs) and neuronal cells. Here, we found that 3BDO activated MTOR by targeting FKBP1A (FK506-binding protein 1A, 12 kDa). We next used 3BDO to detect novel factors downstream of the MTOR signaling pathway. Activation of MTOR by 3BDO increased the phosphorylation of TIA1 (TIA1 cytotoxic granule-associated RNA binding protein/T-cell-restricted intracellular antigen-1). Finally, we used gene microarray, RNA interference, RNA-ChIP assay, bioinformatics, luciferase reporter assay, and other assays and found that 3BDO greatly decreased the level of a long noncoding RNA (lncRNA) derived from the 3' untranslated region (3'UTR) of TGFB2, known as FLJ11812. TIA1 was responsible for processing FLJ11812. Further experiments results showed that FLJ11812 could bind with MIR4459 targeting ATG13 (autophagy-related 13), and ATG13 protein level was decreased along with 3BDO-decreased FLJ11812 level. Here, we provide a new activator of MTOR, and our findings highlight the role of the lncRNA in autophagy.

  11. Co-motif discovery identifies an Esrrb-Sox2-DNA ternary complex as a mediator of transcriptional differences between mouse embryonic and epiblast stem cells.

    Science.gov (United States)

    Hutchins, Andrew Paul; Choo, Siew Hua; Mistri, Tapan Kumar; Rahmani, Mehran; Woon, Chow Thai; Ng, Calista Keow Leng; Jauch, Ralf; Robson, Paul

    2013-02-01

    Transcription factors (TF) often bind in heterodimeric complexes with each TF recognizing a specific neighboring cis element in the regulatory region of the genome. Comprehension of this DNA motif grammar is opaque, yet recent developments have allowed the interrogation of genome-wide TF binding sites. We reasoned that within this data novel motif grammars could be identified that controlled distinct biological programs. For this purpose, we developed a novel motif-discovery tool termed fexcom that systematically interrogates ChIP-seq data to discover spatially constrained TF-TF composite motifs occurring over short DNA distances. We applied this to the extensive ChIP-seq data available from mouse embryonic stem cells (ESCs). In addition to the well-known and most prevalent sox-oct motif, we also discovered a novel constrained spacer motif for Esrrb and Sox2 with a gap of between 2 and 8 bps that Essrb and Sox2 cobind in a selective fashion. Through the use of knockdown experiments, we argue that the Esrrb-Sox2 complex is an arbiter of gene expression differences between ESCs and epiblast stem cells (EpiSC). A number of genes downregulated upon dual Esrrb/Sox2 knockdown (e.g., Klf4, Klf5, Jam2, Pecam1) are similarly downregulated in the ESC to EpiSC transition and contain the esrrb-sox motif. The prototypical Esrrb-Sox2 target gene, containing an esrrb-sox element conserved throughout eutherian and metatherian mammals, is Nr0b1. Through positive regulation of this transcriptional repressor, we argue the Esrrb-Sox2 complex promotes the ESC state through inhibition of the EpiSC transcriptional program and the same trio may also function to maintain trophoblast stem cells.

  12. Discovery of LPMO activity on hemicelluloses shows the importance of oxidative processes in plant cell wall degradation

    DEFF Research Database (Denmark)

    Agger, Jane W.; Isaksen, Trine; Várnai, Anikó;

    2014-01-01

    of LPMOs, and considering the complexity and copolymeric nature of the plant cell wall, it has been speculated that some LPMOs may act on other substrates, in particular the hemicelluloses that tether to cellulose microfibrils. We demonstrate that an LPMO from Neurospora crassa, NcLPMO9C, indeed degrades...... walls. Products generated by NcLPMO9C were analyzed using high performance anion exchange chromatography and multidimensional mass spectrometry. We show that NcLPMO9C generates oxidized products from a variety of substrates and that its product profile differs from those of hydrolytic enzymes acting...... on the same substrates. The enzyme particularly acts on the glucose backbone of xyloglucan, accepting various substitutions (xylose, galactose) in almost all positions. Because the attachment of xyloglucan to cellulose hampers depolymerization of the latter, it is possible that the beneficial effect...

  13. Discovery of a Good Responder Subtype of Esophageal Squamous Cell Carcinoma with Cytotoxic T-Lymphocyte Signatures Activated by Chemoradiotherapy.

    Directory of Open Access Journals (Sweden)

    Yosuke Tanaka

    Full Text Available Definitive chemoradiotherapy (CRT is a less invasive therapy for esophageal squamous cell carcinoma (ESCC. Five-year survival rate of locally advanced ESCC patients by definitive CRT were 37%. We previously reported that tumor-specific cytotoxic T-lymphocyte (CTL activation signatures were preferentially found in long-term survivors. However, it is unknown whether the CTL activation is actually driven by CRT. We compared gene expression profiles among pre- and post-treatment biopsy specimens of 30 ESCC patients and 121 pre-treatment ESCC biopsy specimens. In the complete response (CR cases, 999 overexpressed genes including at least 234 tumor-specific CTL-activation associated genes such as IFNG, PRF1, and GZMB, were found in post-treatment biopsy specimens. Clustering analysis using expression profiles of these 234 genes allowed us to distinguish the immune-activated cases, designating them as I-type, from other cases. However, despite the better CR rate in the I-type, overall survival was not significantly better in both these 30 cases and another 121 cases. Further comparative study identified a series of epithelial to mesenchymal transition-related genes overexpressed in the early relapse cases. Importantly, the clinical outcome of CDH2-negative cases in the I-type was significantly better than that of the CDH2-positive cases in the I-type. Furthermore, NK cells, which were activated by neutrophils-producing S100A8/S100A9, and CTLs were suggested to cooperatively enhance the effect of CRT in the CDH2-negative I-type. These results suggested that CTL gene activation may provide a prognostic advantage in ESCCs with epithelial characteristics.

  14. The Discovery and Validation of Biomarkers for the Diagnosis of Esophageal Squamous Dysplasia and Squamous Cell Carcinoma.

    Science.gov (United States)

    Couch, George; Redman, James E; Wernisch, Lorenz; Newton, Richard; Malhotra, Shalini; Dawsey, Sanford M; Lao-Sirieix, Pierre; Fitzgerald, Rebecca C

    2016-07-01

    The 5-year survival rate of esophageal cancer is less than 10% in developing countries, where more than 90% of these cancers are esophageal squamous cell carcinomas (ESCC). Endoscopic screening is undertaken in high incidence areas. Biomarker analysis could reduce the subjectivity associated with histologic assessment of dysplasia and thus improve diagnostic accuracy. The aims of this study were therefore to identify biomarkers for esophageal squamous dysplasia and carcinoma. A publicly available dataset was used to identify genes with differential expression in ESCC compared with normal esophagus. Each gene was ranked by a support vector machine separation score. Expression profiles were examined, before validation by qPCR and IHC. We found that 800 genes were overexpressed in ESCC compared with normal esophagus (P < 10(-5)). Of the top 50 genes, 33 were expressed in ESCC epithelium and not in normal esophagus epithelium or stroma using the Protein Atlas website. These were taken to qPCR validation, and 20 genes were significantly overexpressed in ESCC compared with normal esophagus (P < 0.05). TNFAIP3 and CHN1 showed differential expression with IHC. TNFAIP3 expression increased gradually through normal esophagus, mild, moderate and severe dysplasia, and SCC (P < 0.0001). CHN1 staining was rarely present in the top third of normal esophagus epithelium and extended progressively towards the surface in mild, moderate, and severe dysplasia, and SCC (P < 0.0001). Two novel promising biomarkers for ESCC were identified, TNFAIP3 and CHN1. CHN1 and TNFAIP3 may improve diagnostic accuracy of screening methods for ESCC. Cancer Prev Res; 9(7); 558-66. ©2016 AACR. PMID:27072986

  15. Computational drug discovery

    Institute of Scientific and Technical Information of China (English)

    Si-sheng OU-YANG; Jun-yan LU; Xiang-qian KONG; Zhong-jie LIANG; Cheng LUO; Hualiang JIANG

    2012-01-01

    Computational drug discovery is an effective strategy for accelerating and economizing drug discovery and development process.Because of the dramatic increase in the availability of biological macromolecule and small molecule information,the applicability of computational drug discovery has been extended and broadly applied to nearly every stage in the drug discovery and development workflow,including target identification and validation,lead discovery and optimization and preclinical tests.Over the past decades,computational drug discovery methods such as molecular docking,pharmacophore modeling and mapping,de novo design,molecular similarity calculation and sequence-based virtual screening have been greatly improved.In this review,we present an overview of these important computational methods,platforms and successful applications in this field.

  16. Reliable knowledge discovery

    CERN Document Server

    Dai, Honghua; Smirnov, Evgueni

    2012-01-01

    Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military. Reliable Knowledge Discovery also presents methods and techniques for designing robust knowledge-discovery processes. Approaches to assessing the reliability of the discovered knowledge are introduc

  17. Evaluation of reverse phase protein array (RPPA)-based pathway-activation profiling in 84 non-small cell lung cancer (NSCLC) cell lines as platform for cancer proteomics and biomarker discovery.

    Science.gov (United States)

    Ummanni, Ramesh; Mannsperger, Heiko A; Sonntag, Johanna; Oswald, Marcus; Sharma, Ashwini K; König, Rainer; Korf, Ulrike

    2014-05-01

    The reverse phase protein array (RPPA) approach was employed for a quantitative analysis of 71 cancer-relevant proteins and phosphoproteins in 84 non-small cell lung cancer (NSCLC) cell lines and by monitoring the activation state of selected receptor tyrosine kinases, PI3K/AKT and MEK/ERK1/2 signaling, cell cycle control, apoptosis, and DNA damage. Additional information on NSCLC cell lines such as that of transcriptomic data, genomic aberrations, and drug sensitivity was analyzed in the context of proteomic data using supervised and non-supervised approaches for data analysis. First, the unsupervised analysis of proteomic data indicated that proteins clustering closely together reflect well-known signaling modules, e.g. PI3K/AKT- and RAS/RAF/ERK-signaling, cell cycle regulation, and apoptosis. However, mutations of EGFR, ERBB2, RAF, RAS, TP53, and PI3K were found dispersed across different signaling pathway clusters. Merely cell lines with an amplification of EGFR and/or ERBB2 clustered closely together on the proteomic, but not on the transcriptomic level. Secondly, supervised data analysis revealed that sensitivity towards anti-EGFR drugs generally correlated better with high level EGFR phosphorylation than with EGFR abundance itself. High level phosphorylation of RB and high abundance of AURKA were identified as candidates that can potentially predict sensitivity towards the aurora kinase inhibitor VX680. Examples shown demonstrate that the RPPA approach presents a useful platform for targeted proteomics with high potential for biomarker discovery. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge. PMID:24361481

  18. Higgs Discovery Movie

    CERN Multimedia

    2014-01-01

    The ATLAS & CMS Experiments Celebrate the 2nd Anniversary of the Discovery of the Higgs boson. Here, are some images of the path from LHC startup to Nobel Prize, featuring a musical composition by Roger Zare, performed by the Donald Sinta Quartet, called “LHC”. Happy Discovery Day!

  19. Decades of Discovery

    Science.gov (United States)

    2011-06-01

    For the past two-and-a-half decades, the Office of Science at the U.S. Department of Energy has been at the forefront of scientific discovery. Over 100 important discoveries supported by the Office of Science are represented in this document.

  20. Academic Drug Discovery Centres

    DEFF Research Database (Denmark)

    Kirkegaard, Henriette Schultz; Valentin, Finn

    2014-01-01

    Academic drug discovery centres (ADDCs) are seen as one of the solutions to fill the innovation gap in early drug discovery, which has proven challenging for previous organisational models. Prior studies of ADDCs have identified the need to analyse them from the angle of their economic...

  1. Service discovery at home

    NARCIS (Netherlands)

    Sundramoorthy, Vasughi; Scholten, Hans; Jansen, Pierre; Hartel, Pieter

    2003-01-01

    Service discovery is a fairly new field that kicked off since the advent of ubiquitous computing and has been found essential in the making of intelligent networks by implementing automated discovery and remote control between devices. This paper provides an overview and comparison of several promin

  2. The Greatest Mathematical Discovery?

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, David H.; Borwein, Jonathan M.

    2010-05-12

    What mathematical discovery more than 1500 years ago: (1) Is one of the greatest, if not the greatest, single discovery in the field of mathematics? (2) Involved three subtle ideas that eluded the greatest minds of antiquity, even geniuses such as Archimedes? (3) Was fiercely resisted in Europe for hundreds of years after its discovery? (4) Even today, in historical treatments of mathematics, is often dismissed with scant mention, or else is ascribed to the wrong source? Answer: Our modern system of positional decimal notation with zero, together with the basic arithmetic computational schemes, which were discovered in India about 500 CE.

  3. Toxins and drug discovery.

    Science.gov (United States)

    Harvey, Alan L

    2014-12-15

    Components from venoms have stimulated many drug discovery projects, with some notable successes. These are briefly reviewed, from captopril to ziconotide. However, there have been many more disappointments on the road from toxin discovery to approval of a new medicine. Drug discovery and development is an inherently risky business, and the main causes of failure during development programmes are outlined in order to highlight steps that might be taken to increase the chances of success with toxin-based drug discovery. These include having a clear focus on unmet therapeutic needs, concentrating on targets that are well-validated in terms of their relevance to the disease in question, making use of phenotypic screening rather than molecular-based assays, and working with development partners with the resources required for the long and expensive development process. PMID:25448391

  4. Leadership and Discovery

    CERN Document Server

    Goethals, George R

    2009-01-01

    This book, a collection of essays from scholars across disciplines, explores leadership of discovery, probing the guided and collaborative exploration and interpretation of the experience of our inner thoughts and feelings, and of our external worlds

  5. Fateful discovery almost forgotten

    CERN Multimedia

    1989-01-01

    "The discovery of the fission of uranium exactly half a century ago is at risk of passing unremarked because of the general ambivalence towards the consequences of this development. Can that be wise?" (4 pages)

  6. Discovery Driven Growth

    DEFF Research Database (Denmark)

    Bukh, Per Nikolaj

    2009-01-01

    Anmeldelse af Discovery Driven Growh : A breakthrough process to reduce risk and seize opportunity, af Rita G. McGrath & Ian C. MacMillan, Boston: Harvard Business Press. Udgivelsesdato: 14 august......Anmeldelse af Discovery Driven Growh : A breakthrough process to reduce risk and seize opportunity, af Rita G. McGrath & Ian C. MacMillan, Boston: Harvard Business Press. Udgivelsesdato: 14 august...

  7. A Decade of Discovery

    Energy Technology Data Exchange (ETDEWEB)

    None

    2008-01-01

    This book provides a fascinating account of some of the most significant scientific discoveries and technological innovations coming out of the U.S. Department of Energy’s National Laboratories. This remarkable book illustrates how the men and women of the National Laboratories are keeping us on the cutting edge. Though few Americans are familiar with the scope and scale of the work conducted at these National Laboratories, their research is literally changing our lives and bettering our planet. The book describes the scientific discoveries and technological advancements "in recognition of the men and women working in DOE's seventeen national laboratories across the country." Through highly vivid and accessible stories, this book details recent breakthroughs in three critical areas: 1) Energy and Environment, 2) National Security and 3) Life and Physical Science. The book illustrates how this government-funded research has resulted in more energy-efficient buildings; new, cleaner alternative fuels that reduce greenhouse gas emissions; safer, more efficient, nuclear power plants; improved responses to disease outbreaks; more secure and streamlined airport security; more effective treatments for cancer and other diseases; and astonishing discoveries that are altering our understanding of the universe and enabling scientific breakthroughs in fields such as nanotechnology and particle physics. Specifically, it contains 37 stories. A Decade of Discovery is truly a recent history of discovery - and a fascinating look at what the next decade holds.

  8. Evaluating ten discoveries

    Energy Technology Data Exchange (ETDEWEB)

    1973-02-01

    Mexico's state company, Pemex, announces 10 significant oil and gas discoveries in the states of Tamaulipas and Chiapas. Most promising finds are a new oil province in S. Mexico and a deeper pool strike at the offshore Arenque field. The latter seems to point to the existence of an attractive reefal trend extending on shore toward the State of Nuevo Leon.

  9. Ayurvedic drug discovery.

    Science.gov (United States)

    Balachandran, Premalatha; Govindarajan, Rajgopal

    2007-12-01

    Ayurveda is a major traditional system of Indian medicine that is still being successfully used in many countries. Recapitulation and adaptation of the older science to modern drug discovery processes can bring renewed interest to the pharmaceutical world and offer unique therapeutic solutions for a wide range of human disorders. Eventhough time-tested evidences vouch immense therapeutic benefits for ayurvedic herbs and formulations, several important issues are required to be resolved for successful implementation of ayurvedic principles to present drug discovery methodologies. Additionally, clinical examination in the extent of efficacy, safety and drug interactions of newly developed ayurvedic drugs and formulations are required to be carefully evaluated. Ayurvedic experts suggest a reverse-pharmacology approach focusing on the potential targets for which ayurvedic herbs and herbal products could bring tremendous leads to ayurvedic drug discovery. Although several novel leads and drug molecules have already been discovered from ayurvedic medicinal herbs, further scientific explorations in this arena along with customization of present technologies to ayurvedic drug manufacturing principles would greatly facilitate a standardized ayurvedic drug discovery.

  10. Archaeological Discoveries in Liaoning

    Institute of Scientific and Technical Information of China (English)

    1996-01-01

    LIAONING Province, in northeastern China, has been inhabited by many ethnic groups since ancient times. It is one of the sites of China’s earliest civilization. Since the 1950s many archaeological discoveries from periods beginning with the Paleolithic of 200,000 years ago, and through all the following historic periods, have been made in the province.

  11. Systematic Analysis of Cell Cycle Effects of Common Drugs Leads to the Discovery of a Suppressive Interaction between Gemfibrozil and Fluoxetine

    OpenAIRE

    Hoose, Scott A.; Duran, Camille; Malik, Indranil; Eslamfam, Shabnam; Samantha C Shasserre; Downing, S. Sabina; Evelyn M Hoover; Dowd, Katherine E.; Smith, Roger; Polymenis, Michael

    2012-01-01

    Screening chemical libraries to identify compounds that affect overall cell proliferation is common. However, in most cases, it is not known whether the compounds tested alter the timing of particular cell cycle transitions. Here, we evaluated an FDA-approved drug library to identify pharmaceuticals that alter cell cycle progression in yeast, using DNA content measurements by flow cytometry. This approach revealed strong cell cycle effects of several commonly used pharmaceuticals. We show tha...

  12. On reliable discovery of molecular signatures

    Directory of Open Access Journals (Sweden)

    Björkegren Johan

    2009-01-01

    Full Text Available Abstract Background Molecular signatures are sets of genes, proteins, genetic variants or other variables that can be used as markers for a particular phenotype. Reliable signature discovery methods could yield valuable insight into cell biology and mechanisms of human disease. However, it is currently not clear how to control error rates such as the false discovery rate (FDR in signature discovery. Moreover, signatures for cancer gene expression have been shown to be unstable, that is, difficult to replicate in independent studies, casting doubts on their reliability. Results We demonstrate that with modern prediction methods, signatures that yield accurate predictions may still have a high FDR. Further, we show that even signatures with low FDR may fail to replicate in independent studies due to limited statistical power. Thus, neither stability nor predictive accuracy are relevant when FDR control is the primary goal. We therefore develop a general statistical hypothesis testing framework that for the first time provides FDR control for signature discovery. Our method is demonstrated to be correct in simulation studies. When applied to five cancer data sets, the method was able to discover molecular signatures with 5% FDR in three cases, while two data sets yielded no significant findings. Conclusion Our approach enables reliable discovery of molecular signatures from genome-wide data with current sample sizes. The statistical framework developed herein is potentially applicable to a wide range of prediction problems in bioinformatics.

  13. COPD Discovery Might Improve Treatment

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_158852.html COPD Discovery Might Improve Treatment Study may help pinpoint ... will progress, a discovery they believe could improve COPD treatment. Their research might help doctors determine which ...

  14. Creating A Guided- discovery Lesson

    Institute of Scientific and Technical Information of China (English)

    田枫

    2005-01-01

    In a guided - discovery lesson, students sequentially uncover layers of mathematical information one step at a time and learn new mathematics. We have identified eight critical steps necessary in developing a successful guided- discovery lesson.

  15. Atlas of Astronomical Discoveries

    CERN Document Server

    Schilling, Govert

    2011-01-01

    Four hundred years ago in Middelburg, in the Netherlands, the telescope was invented. The invention unleashed a revolution in the exploration of the universe. Galileo Galilei discovered mountains on the Moon, spots on the Sun, and moons around Jupiter. Christiaan Huygens saw details on Mars and rings around Saturn. William Herschel discovered a new planet and mapped binary stars and nebulae. Other astronomers determined the distances to stars, unraveled the structure of the Milky Way, and discovered the expansion of the universe. And, as telescopes became bigger and more powerful, astronomers delved deeper into the mysteries of the cosmos. In his Atlas of Astronomical Discoveries, astronomy journalist Govert Schilling tells the story of 400 years of telescopic astronomy. He looks at the 100 most important discoveries since the invention of the telescope. In his direct and accessible style, the author takes his readers on an exciting journey encompassing the highlights of four centuries of astronomy. Spectacul...

  16. The discovery of quarks.

    Science.gov (United States)

    Riordan, M

    1992-05-29

    Quarks are widely recognized today as being among the elementary particles of which matter is composed. The key evidence for their existence came from a series of inelastic electron-nucleon scattering experiments conducted between 1967 and 1973 at the Stanford Linear Accelerator Center. Other theoretical and experimental advances of the 1970s confirmed this discovery, leading to the present standard model of elementary particle physics.

  17. Opportunistic Adaptation Knowledge Discovery

    OpenAIRE

    Badra, Fadi; Cordier, Amélie; Lieber, Jean

    2009-01-01

    The original publication is available at www.springerlink.com International audience Adaptation has long been considered as the Achilles' heel of case-based reasoning since it requires some domain-specific knowledge that is difficult to acquire. In this paper, two strategies are combined in order to reduce the knowledge engineering cost induced by the adaptation knowledge (CA) acquisition task: CA is learned from the case base by the means of knowledge discovery techniques, and the CA a...

  18. Discovery with FAST

    Science.gov (United States)

    Wilkinson, P.

    2016-02-01

    FAST offers "transformational" performance well-suited to finding new phenomena - one of which might be polarised spectral transients. But discoveries will only be made if "the system" provides its users with the necessary opportunities. In addition to designing in as much observational flexibility as possible, FAST should be operated with a philosophy which maximises its "human bandwidth". This band includes the astronomers of tomorrow - many of whom not have yet started school or even been born.

  19. Discovery as a process

    Energy Technology Data Exchange (ETDEWEB)

    Loehle, C.

    1994-05-01

    The three great myths, which form a sort of triumvirate of misunderstanding, are the Eureka! myth, the hypothesis myth, and the measurement myth. These myths are prevalent among scientists as well as among observers of science. The Eureka! myth asserts that discovery occurs as a flash of insight, and as such is not subject to investigation. This leads to the perception that discovery or deriving a hypothesis is a moment or event rather than a process. Events are singular and not subject to description. The hypothesis myth asserts that proper science is motivated by testing hypotheses, and that if something is not experimentally testable then it is not scientific. This myth leads to absurd posturing by some workers conducting empirical descriptive studies, who dress up their study with a ``hypothesis`` to obtain funding or get it published. Methods papers are often rejected because they do not address a specific scientific problem. The fact is that many of the great breakthroughs in silence involve methods and not hypotheses or arise from largely descriptive studies. Those captured by this myth also try to block funding for those developing methods. The third myth is the measurement myth, which holds that determining what to measure is straightforward, so one doesn`t need a lot of introspection to do science. As one ecologist put it to me ``Don`t give me any of that philosophy junk, just let me out in the field. I know what to measure.`` These myths lead to difficulties for scientists who must face peer review to obtain funding and to get published. These myths also inhibit the study of science as a process. Finally, these myths inhibit creativity and suppress innovation. In this paper I first explore these myths in more detail and then propose a new model of discovery that opens the supposedly miraculous process of discovery to doser scrutiny.

  20. Systematic analysis of cell cycle effects of common drugs leads to the discovery of a suppressive interaction between gemfibrozil and fluoxetine.

    Directory of Open Access Journals (Sweden)

    Scott A Hoose

    Full Text Available Screening chemical libraries to identify compounds that affect overall cell proliferation is common. However, in most cases, it is not known whether the compounds tested alter the timing of particular cell cycle transitions. Here, we evaluated an FDA-approved drug library to identify pharmaceuticals that alter cell cycle progression in yeast, using DNA content measurements by flow cytometry. This approach revealed strong cell cycle effects of several commonly used pharmaceuticals. We show that the antilipemic gemfibrozil delays initiation of DNA replication, while cells treated with the antidepressant fluoxetine severely delay progression through mitosis. Based on their effects on cell cycle progression, we also examined cell proliferation in the presence of both compounds. We discovered a strong suppressive interaction between gemfibrozil and fluoxetine. Combinations of interest among diverse pharmaceuticals are difficult to identify, due to the daunting number of possible combinations that must be evaluated. The novel interaction between gemfibrozil and fluoxetine suggests that identifying and combining drugs that show cell cycle effects might streamline identification of drug combinations with a pronounced impact on cell proliferation.

  1. Discovery, adaptation and transcriptional activity of two tick promoters: Construction of a dual luciferase reporter system for optimization of RNA interference in Rhipicephalus (Boophilus) microplus cell lines

    Science.gov (United States)

    Dual luciferase reporter systems are valuable tools for functional genomic studies, but have not previously been developed for use in tick cell culture. We evaluated expression of available luciferase constructs in tick cell cultures derived from Rhipicephalus (Boophilus) microplus, an important vec...

  2. Gene expression profiling of coelomic cells and discovery of immune-related genes in the earthworm, Eisenia andrei, using expressed sequence tags.

    Science.gov (United States)

    Tak, Eun Sik; Cho, Sung-Jin; Park, Soon Cheol

    2015-01-01

    The coelomic cells of the earthworm consist of leukocytes, chlorogocytes, and coelomocytes, which play an important role in innate immunity reactions. To gain insight into the expression profiles of coelomic cells of the earthworm, Eisenia andrei, we analyzed 1151 expressed sequence tags (ESTs) derived from the cDNA library of the coelomic cells. Among the 1151 ESTs analyzed, 493 ESTs (42.8%) showed a significant similarity to known genes and represented 164 unique genes, of which 93 ESTs were singletons and 71 ESTs manifested as two or more ESTs. From the 164 unique genes sequenced, we found 24 immune-related and cell defense genes. Furthermore, real-time PCR analysis showed that levels of lysenin-related proteins mRNA in coelomic cells of E. andrei were upregulated after the injection of Bacillus subtilis bacteria. This EST data-set would provide a valuable resource for future researches of earthworm immune system. PMID:25496401

  3. Marking 100 years since Rudolf Höber’s discovery of the insulating envelope surrounding cells and of the beta-dispersion exhibited by tissue

    Directory of Open Access Journals (Sweden)

    Ronald Pethig

    2012-11-01

    Full Text Available Between 1910 and 1913 Rudolf Höber presented proof that the interiors of red blood cells and muscle cells contain conducting electrolytes, and that each conducting core is contained within an insulating membrane.  He did this by demonstrating, in a series of remarkable electrical experiments, that the conductivity of compacted cell samples at low frequencies (~150 Hz was about ten-times less than the value obtained at ~5 MHz.  On perforation of the membrane, the low-frequency conductivity increased to a value approaching that exhibited at MHz frequencies. Apart from representing a major milestone in the development of cell biology and electrophysiology, Höber’s work was the first description of what we now call the dielectric b-dispersion exhibited by cell suspensions and fresh tissue.

  4. Discovery of Novel Bacterial Cell-Penetrating Phylloseptins in Defensive Skin Secretions of the South American Hylid Frogs, Phyllomedusa duellmani and Phyllomedusa coelestis.

    Science.gov (United States)

    Yang, Nan; Li, Lei; Wu, Di; Gao, Yitian; Xi, Xinping; Zhou, Mei; Wang, Lei; Chen, Tianbao; Shaw, Chris

    2016-01-01

    Phylloseptin (PS) peptides, derived from South American hylid frogs (subfamily Phyllomedusinae), have been found to have broad-spectrum antimicrobial activities and relatively low haemolytic activities. Although PS peptides have been identified from several well-known and widely-distributed species of the Phyllomedusinae, there remains merit in their study in additional, more obscure and specialised members of this taxon. Here, we report the discovery of two novel PS peptides, named PS-Du and PS-Co, which were respectively identified for the first time and isolated from the skin secretions of Phyllomedusa duellmani and Phyllomedusa coelestis. Their encoding cDNAs were cloned, from which it was possible to deduce the entire primary structures of their biosynthetic precursors. Reversed-phase high-performance liquid chromatography (RP-HPLC) and tandem mass spectrometry (MS/MS) analyses were employed to isolate and structurally-characterise respective encoded PS peptides from skin secretions. The peptides had molecular masses of 2049.7 Da (PS-Du) and 1972.8 Da (PS-Co). They shared typical N-terminal sequences and C-terminal amidation with other known phylloseptins. The two peptides exhibited growth inhibitory activity against E. coli (NCTC 10418), as a standard Gram-negative bacterium, S. aureus (NCTC 10788), as a standard Gram-positive bacterium and C. albicans (NCPF 1467), as a standard pathogenic yeast, all as planktonic cultures. Moreover, both peptides demonstrated the capability of eliminating S. aureus biofilm. PMID:27589802

  5. The potent Cdc7-Dbf4 (DDK) kinase inhibitor XL413 has limited activity in many cancer cell lines and discovery of potential new DDK inhibitor scaffolds.

    Science.gov (United States)

    Sasi, Nanda Kumar; Tiwari, Kanchan; Soon, Fen-Fen; Bonte, Dorine; Wang, Tong; Melcher, Karsten; Xu, H Eric; Weinreich, Michael

    2014-01-01

    Cdc7-Dbf4 kinase or DDK (Dbf4-dependent kinase) is required to initiate DNA replication by phosphorylating and activating the replicative Mcm2-7 DNA helicase. DDK is overexpressed in many tumor cells and is an emerging chemotherapeutic target since DDK inhibition causes apoptosis of diverse cancer cell types but not of normal cells. PHA-767491 and XL413 are among a number of potent DDK inhibitors with low nanomolar IC50 values against the purified kinase. Although XL413 is highly selective for DDK, its activity has not been extensively characterized on cell lines. We measured anti-proliferative and apoptotic effects of XL413 on a panel of tumor cell lines compared to PHA-767491, whose activity is well characterized. Both compounds were effective biochemical DDK inhibitors but surprisingly, their activities in cell lines were highly divergent. Unlike PHA-767491, XL413 had significant anti-proliferative activity against only one of the ten cell lines tested. Since XL413 did not effectively inhibit DDK in multiple cell lines, this compound likely has limited bioavailability. To identify potential leads for additional DDK inhibitors, we also tested the cross-reactivity of ∼400 known kinase inhibitors against DDK using a DDK thermal stability shift assay (TSA). We identified 11 compounds that significantly stabilized DDK. Several inhibited DDK with comparable potency to PHA-767491, including Chk1 and PKR kinase inhibitors, but had divergent chemical scaffolds from known DDK inhibitors. Taken together, these data show that several well-known kinase inhibitors cross-react with DDK and also highlight the opportunity to design additional specific, biologically active DDK inhibitors for use as chemotherapeutic agents.

  6. The potent Cdc7-Dbf4 (DDK kinase inhibitor XL413 has limited activity in many cancer cell lines and discovery of potential new DDK inhibitor scaffolds.

    Directory of Open Access Journals (Sweden)

    Nanda Kumar Sasi

    Full Text Available Cdc7-Dbf4 kinase or DDK (Dbf4-dependent kinase is required to initiate DNA replication by phosphorylating and activating the replicative Mcm2-7 DNA helicase. DDK is overexpressed in many tumor cells and is an emerging chemotherapeutic target since DDK inhibition causes apoptosis of diverse cancer cell types but not of normal cells. PHA-767491 and XL413 are among a number of potent DDK inhibitors with low nanomolar IC50 values against the purified kinase. Although XL413 is highly selective for DDK, its activity has not been extensively characterized on cell lines. We measured anti-proliferative and apoptotic effects of XL413 on a panel of tumor cell lines compared to PHA-767491, whose activity is well characterized. Both compounds were effective biochemical DDK inhibitors but surprisingly, their activities in cell lines were highly divergent. Unlike PHA-767491, XL413 had significant anti-proliferative activity against only one of the ten cell lines tested. Since XL413 did not effectively inhibit DDK in multiple cell lines, this compound likely has limited bioavailability. To identify potential leads for additional DDK inhibitors, we also tested the cross-reactivity of ∼400 known kinase inhibitors against DDK using a DDK thermal stability shift assay (TSA. We identified 11 compounds that significantly stabilized DDK. Several inhibited DDK with comparable potency to PHA-767491, including Chk1 and PKR kinase inhibitors, but had divergent chemical scaffolds from known DDK inhibitors. Taken together, these data show that several well-known kinase inhibitors cross-react with DDK and also highlight the opportunity to design additional specific, biologically active DDK inhibitors for use as chemotherapeutic agents.

  7. Natural product discovery: past, present, and future.

    Science.gov (United States)

    Katz, Leonard; Baltz, Richard H

    2016-03-01

    Microorganisms have provided abundant sources of natural products which have been developed as commercial products for human medicine, animal health, and plant crop protection. In the early years of natural product discovery from microorganisms (The Golden Age), new antibiotics were found with relative ease from low-throughput fermentation and whole cell screening methods. Later, molecular genetic and medicinal chemistry approaches were applied to modify and improve the activities of important chemical scaffolds, and more sophisticated screening methods were directed at target disease states. In the 1990s, the pharmaceutical industry moved to high-throughput screening of synthetic chemical libraries against many potential therapeutic targets, including new targets identified from the human genome sequencing project, largely to the exclusion of natural products, and discovery rates dropped dramatically. Nonetheless, natural products continued to provide key scaffolds for drug development. In the current millennium, it was discovered from genome sequencing that microbes with large genomes have the capacity to produce about ten times as many secondary metabolites as was previously recognized. Indeed, the most gifted actinomycetes have the capacity to produce around 30-50 secondary metabolites. With the precipitous drop in cost for genome sequencing, it is now feasible to sequence thousands of actinomycete genomes to identify the "biosynthetic dark matter" as sources for the discovery of new and novel secondary metabolites. Advances in bioinformatics, mass spectrometry, proteomics, transcriptomics, metabolomics and gene expression are driving the new field of microbial genome mining for applications in natural product discovery and development. PMID:26739136

  8. Representation Discovery using Harmonic Analysis

    CERN Document Server

    Mahadevan, Sridhar

    2008-01-01

    Representations are at the heart of artificial intelligence (AI). This book is devoted to the problem of representation discovery: how can an intelligent system construct representations from its experience? Representation discovery re-parameterizes the state space - prior to the application of information retrieval, machine learning, or optimization techniques - facilitating later inference processes by constructing new task-specific bases adapted to the state space geometry. This book presents a general approach to representation discovery using the framework of harmonic analysis, in particu

  9. Identification of a novel site specific endonuclease produced by Mycoplasma fermentans: discovery while characterizing DNA binding proteins in T lymphocyte cell lines.

    OpenAIRE

    Halden, N F; Wolf, J B; Leonard, W J

    1989-01-01

    We have discovered a new restriction endonuclease, MfeI, in nuclear extracts from T cells contaminated with Mycoplasma fermentans. This endonuclease was identified while studying proteins binding to the interleukin-2 receptor alpha chain gene promoter. MfeI cuts at the recognition sequence C'AATTG generating EcoRI compatible cohesive ends. Potential applications are discussed.

  10. Denton Vacuum Discovery-550 Sputterer

    Data.gov (United States)

    Federal Laboratory Consortium — Description: CORAL Name: Sputter 2 Similar to the existing 4-Gun Denton Discovery 22 Sputter system, with the following enhancements: Specifications / Capabilities:...

  11. In Vitro Assessment of the Inflammatory Breast Cancer Cell Line SUM 149: Discovery of 2 Single Nucleotide Polymorphisms in the RNase L Gene

    OpenAIRE

    Nokes, Brandon T.; Cunliffe, Heather E; LaFleur, Bonnie; Mount, David W.; Livingston, Robert B.; Bernard W Futscher; Lang, Julie E.

    2013-01-01

    Background: Inflammatory breast cancer (IBC) is a rare, highly aggressive form of breast cancer. The mechanism of IBC carcinogenesis remains unknown. We sought to evaluate potential genetic risk factors for IBC and whether or not the IBC cell lines SUM149 and SUM190 demonstrated evidence of viral infection. Methods: We performed single nucleotide polymorphism (SNP) genotyping for 2 variants of the ribonuclease (RNase) L gene that have been correlated with the risk of prostate cancer due to a ...

  12. In Vitro Assessment of the Inflammatory Breast Cancer Cell Line SUM 149: Discovery of 2 Single Nucleotide Polymorphisms in the RNase L Gene

    OpenAIRE

    Brandon T. Nokes, Heather E. Cunliffe, Bonnie LaFleur, David W. Mount, Robert B. Livingston, Bernard W. Futscher, Julie E. Lang

    2013-01-01

    Background: Inflammatory breast cancer (IBC) is a rare, highly aggressive form of breast cancer. The mechanism of IBC carcinogenesis remains unknown. We sought to evaluate potential genetic risk factors for IBC and whether or not the IBC cell lines SUM149 and SUM190 demonstrated evidence of viral infection.Methods: We performed single nucleotide polymorphism (SNP) genotyping for 2 variants of the ribonuclease (RNase) L gene that have been correlated with the risk of prostate cancer due to a p...

  13. Interpretation of a discovery

    Directory of Open Access Journals (Sweden)

    Vučković Vladan

    2006-01-01

    Full Text Available The paper presents the development of the theory of asynchronous motors since Tesla’s discovery until the present day. The theory of steady state, as we know it today, was completed already during the first dozen of years. That was followed by a period of stagnation during a number of decades, when the theory of asynchronous motors was developed only in the framework of the general theory of electric machines, which was stimulated by the problems of the development of synchronous generators and big electric networks. It is only in our time that this simple motor, which was used for a long time just to perform crude tasks, became again the inspiration for the researchers and engineers who enabled it, with the help of power electronics and semi-conductor technology, to be used in the finest drives.

  14. Advanced cell culture technology for essential oil production and micro array studies leading to discovery of genes for fragrance compounds in Michelia alba (Cempaka Putih)

    International Nuclear Information System (INIS)

    Michelia spp. is known to produce high value essential oil for perfumery industry. The essence of world's most expensive perfumes, such as JOY and Jadore, is based on the oil of Michelia spp. One major problem anticipated in this approach, based on our early experiments, is limited amount of fragrance produced in cell cultures. The appropriate strategy is to superimpose DNA micro array studies on top of the cell culture project. The study covers natural flower development phases that led to the identification of genes or sets of genes that regulate the production of the fragrance. Seven developmental stages of Michelia alba flower namely Stage 5 to 11 were investigated for their volatile constituents. The essential oil was isolated by Simultaneous Distillation Extraction technique and the oil obtained was subjected to GC-MS analysis. In total, seventy-seven compounds representing 93-98% of the overall volatiles compounds were identified on the basis of mass spectra and retention indices. Thirty-three of these compounds belonged to isoprenoids group which comprised 30-50% of the total volatile compounds whereas the remaining belonged to fatty acid derivatives, benzenoid, phenylpropanoid and other hydrocarbon compounds. Studies were conducted to optimize culture parameters for scaling-up the production of callus, suspension cell cultures and somatic and product accumulation of essential oils using bioreactor technology. (Author)

  15. Discovery, SAR, and Radiolabeling of Halogenated Benzimidazole Carboxamide Antagonists as Useful Tools for (alpha)4(beta)1 Integrin Expressed on T- and B-cell Lymphomas

    Energy Technology Data Exchange (ETDEWEB)

    Carpenter, R D; Natarajan, A; Lau, E Y; Andrei, M; Solano, D M; Lightstone, F C; DeNardo, S J; Lam, K S; Kurth, M J

    2010-02-08

    The cell surface receptor {alpha}{sub 4}{beta}{sub 1} integrin is an attractive yet poorly understood target for selective diagnosis and treatment of T- and B-cell lymphomas. This report focuses on the rapid microwave preparation of medicinally pertinent benzimidazole heterocycles, structure-activity relationships (SAR) of novel halobenzimidazole carboxamide antagonists 3-6, and preliminary biological evaluation of radioiodinated agents 7, 8, and 18. The I-125 derivative 18 had good tumor uptake (12 {+-} 1% ID/g at 24 h; 4.5 {+-} 1% ID/g at 48 h) and tumor:kidney ratio ({approx}4:1 at 24 h; 2.5:1 at 48 h) in xenograft murine models of B-cell lymphoma. Molecular homology models of {alpha}{sub 4}{beta}{sub 1} integrin have predicted that docked halobenzimidazole carboxamides have the halogen atom in a suitable orientation for halogen-hydrogen bonding. These high affinity ({approx} pM binding) halogenated ligands are attractive tools for medicinal and biological use; the fluoro and iodo derivatives are potential radiodiagnostic ({sup 18}F) or radiotherapeutic ({sup 131}I) agents, whereas the chloro and bromo analogues could provide structural insight into integrin-ligand interactions through photoaffinity cross-linking/mass spectroscopy experiments, as well as co-crystallization X-ray studies.

  16. Discovery Learning Strategies in English

    Science.gov (United States)

    Singaravelu, G.

    2012-01-01

    The study substantiates that the effectiveness of Discovery Learning method in learning English Grammar for the learners at standard V. Discovery Learning is particularly beneficial for any student learning a second language. It promotes peer interaction and development of the language and the learning of concepts with content. Reichert and…

  17. Discoveries of isotopes by fission

    Indian Academy of Sciences (India)

    M Thoennessen

    2015-09-01

    Of the about 3000 isotopes presently known, about 20% have been discovered in fission. The history of fission as it relates to the discovery of isotopes as well as the various reaction mechanisms leading to isotope discoveries involving fission are presented.

  18. Service discovery using Bloom filters

    NARCIS (Netherlands)

    Goering, Patrick; Heijenk, Geert; Lelieveldt, B.P.F.; Haverkort, B.R.H.M.; Laat, de C.T.A.M.; Heijnsdijk, J.W.J.

    2006-01-01

    A protocol to perform service discovery in adhoc networks is introduced in this paper. Attenuated Bloom filters are used to distribute services to nodes in the neighborhood and thus enable local service discovery. The protocol has been implemented in a discrete event simulator to investigate the beh

  19. 29 CFR 2700.56 - Discovery; general.

    Science.gov (United States)

    2010-07-01

    ...(c) or 111 of the Act has been filed. 30 U.S.C. 815(c) and 821. (e) Completion of discovery... 29 Labor 9 2010-07-01 2010-07-01 false Discovery; general. 2700.56 Section 2700.56 Labor... Hearings § 2700.56 Discovery; general. (a) Discovery methods. Parties may obtain discovery by one or...

  20. Final report on LDRD project : elucidating performance of proton-exchange-membrane fuel cells via computational modeling with experimental discovery and validation.

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Chao Yang (Pennsylvania State University, University Park, PA); Pasaogullari, Ugur (Pennsylvania State University, University Park, PA); Noble, David R.; Siegel, Nathan P.; Hickner, Michael A.; Chen, Ken Shuang

    2006-11-01

    In this report, we document the accomplishments in our Laboratory Directed Research and Development project in which we employed a technical approach of combining experiments with computational modeling and analyses to elucidate the performance of hydrogen-fed proton exchange membrane fuel cells (PEMFCs). In the first part of this report, we document our focused efforts on understanding water transport in and removal from a hydrogen-fed PEMFC. Using a transparent cell, we directly visualized the evolution and growth of liquid-water droplets at the gas diffusion layer (GDL)/gas flow channel (GFC) interface. We further carried out a detailed experimental study to observe, via direct visualization, the formation, growth, and instability of water droplets at the GDL/GFC interface using a specially-designed apparatus, which simulates the cathode operation of a PEMFC. We developed a simplified model, based on our experimental observation and data, for predicting the onset of water-droplet instability at the GDL/GFC interface. Using a state-of-the-art neutron imaging instrument available at NIST (National Institute of Standard and Technology), we probed liquid-water distribution inside an operating PEMFC under a variety of operating conditions and investigated effects of evaporation due to local heating by waste heat on water removal. Moreover, we developed computational models for analyzing the effects of micro-porous layer on net water transport across the membrane and GDL anisotropy on the temperature and water distributions in the cathode of a PEMFC. We further developed a two-phase model based on the multiphase mixture formulation for predicting the liquid saturation, pressure drop, and flow maldistribution across the PEMFC cathode channels. In the second part of this report, we document our efforts on modeling the electrochemical performance of PEMFCs. We developed a constitutive model for predicting proton conductivity in polymer electrolyte membranes and compared

  1. Chemically diverse polymer microarrays and high throughput surface characterisation: a method for discovery of materials for stem cell culture†Electronic supplementary information (ESI) available. See DOI: 10.1039/c4bm00054dClick here for additional data file.

    Science.gov (United States)

    Celiz, A D; Smith, J G W; Patel, A K; Langer, R; Anderson, D G; Barrett, D A; Young, L E; Davies, M C; Denning, C; Alexander, M R

    2014-11-30

    Materials discovery provides the opportunity to identify novel materials that are tailored to complex biological environments by using combinatorial mixing of monomers to form large libraries of polymers as micro arrays. The materials discovery approach is predicated on the use of the largest chemical diversity possible, yet previous studies into human pluripotent stem cell (hPSC) response to polymer microarrays have been limited to 20 or so different monomer identities in each study. Here we show that it is possible to print and assess cell adhesion of 141 different monomers in a microarray format. This provides access to the largest chemical space to date, allowing us to meet the regenerative medicine challenge to provide scalable synthetic culture ware. This study identifies new materials suitable for hPSC expansion that could not have been predicted from previous knowledge of cell-material interactions.

  2. Materials discovery through crystal growth

    Science.gov (United States)

    zur Loye, Hans-Conrad

    2016-04-01

    The discovery of new materials and associated desirable properties has been a driving force behind chemical innovation for centuries. When we look at some of the many recent technological advances, and how widespread and significant their impact has been, we appreciate how much they have relied on new materials. The increase in hard drive storage capacity due to new giant magneto-resistive materials, the ever-shrinking cell phone due to improved microwave dielectric materials, the enhancement in lithium battery storage capacity due to new intercalation materials, or the improved capacitor due to new ferroelectric materials are all excellent examples. How were these materials discovered? While there is no single answer, in all cases there was a First-Material, the archetype in which the phenomenon was first observed, the one that led to further investigations and the subsequent preparation of improved 2nd or 3rd generation materials. It is this First-Material, the archetype, that was discovered - often via crystal growth.

  3. Discovery and Characterization of a Cell-Permeable, Small-Molecule c-Abl Kinase Activator that Binds to the Myristoyl Binding Site

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Jingsong; Campobasso, Nino; Biju, Mangatt P.; Fisher, Kelly; Pan, Xiao-Qing; Cottom, Josh; Galbraith, Sarah; Ho, Thau; Zhang, Hong; Hong, Xuan; Ward, Paris; Hofmann, Glenn; Siegfried, Brett; Zappacosta, Francesca; Washio, Yoshiaki; Cao, Ping; Qu, Junya; Bertrand, Sophie; Wang, Da-Yuan; Head, Martha S.; Li, Hu; Moores, Sheri; Lai, Zhihong; Johanson, Kyung; Burton, George; Erickson-Miller, Connie; Simpson, Graham; Tummino, Peter; Copeland, Robert A.; Oliff, Allen (GSKPA)

    2014-10-02

    c-Abl kinase activity is regulated by a unique mechanism involving the formation of an autoinhibited conformation in which the N-terminal myristoyl group binds intramolecularly to the myristoyl binding site on the kinase domain and induces the bending of the {alpha}I helix that creates a docking surface for the SH2 domain. Here, we report a small-molecule c-Abl activator, DPH, that displays potent enzymatic and cellular activity in stimulating c-Abl activation. Structural analyses indicate that DPH binds to the myristoyl binding site and prevents the formation of the bent conformation of the {alpha}I helix through steric hindrance, a mode of action distinct from the previously identified allosteric c-Abl inhibitor, GNF-2, that also binds to the myristoyl binding site. DPH represents the first cell-permeable, small-molecule tool compound for c-Abl activation.

  4. Discovery and Formulation

    Science.gov (United States)

    Clark, Don; Rodger, Caroline

    The uses of Raman spectroscopy in active pharmaceutical ingredient (API) discovery, development and release cover a wide variety of sample types and applications. However, the technique does not have a high prominence in the pharmaceutical industry despite being recognised by regulatory authorities as a suitable methodology for the analysis and release of pharmaceutical API and products. One reason is that other analytical techniques are well established and changing to Raman methods is cost prohibitive considering return on investments (ROI). In addition the technique is often regarded as being one for "experts" and not one for main stream applications. As a consequence Raman spectroscopy is frequently the 2nd or 3rd technique of choice for a specific application. However, due to its unique sampling attributes (e.g. micro and macro measurements direct from the sample, through glass, from well plates or in the presence of water) and selectivity, applications of this technology are found throughout the life cycles of pharmaceutical products. It can therefore be considered to be a spectroscopic common denominator. This chapter highlights a number of routine, specialised and niche Raman spectroscopy applications which have been used in the development of new medicines while detailing some of the limitations of these approaches.

  5. Discovery Mondays: Surveyors' Tools

    CERN Multimedia

    2003-01-01

    Surveyors of all ages, have your rulers and compasses at the ready! This sixth edition of Discovery Monday is your chance to learn about the surveyor's tools - the state of the art in measuring instruments - and see for yourself how they work. With their usual daunting precision, the members of CERN's Surveying Group have prepared some demonstrations and exercises for you to try. Find out the techniques for ensuring accelerator alignment and learn about high-tech metrology systems such as deviation indicators, tracking lasers and total stations. The surveyors will show you how they precisely measure magnet positioning, with accuracy of a few thousandths of a millimetre. You can try your hand at precision measurement using different types of sensor and a modern-day version of the Romans' bubble level, accurate to within a thousandth of a millimetre. You will learn that photogrammetry techniques can transform even a simple digital camera into a remarkable measuring instrument. Finally, you will have a chance t...

  6. Discovery of neptunium

    International Nuclear Information System (INIS)

    This paper reports that a number of distinguished scientist, all knowledgeable about the periodic table, irradiated uranium with neutrons during 1934-1938. They observed a number of beta-emitting activities that seemed to be from transuranium elements. discovery of fission and of neptunium was delayed because they assumed that elements 93 and 94 would have chemical properties similar to those of rhenium and osmium, respectively. After fission was finally demonstrated, as new search for element 93 was initiated by McMillan, who showed that when thin films of uranium are exposed to neutrons, high-energy fission products leave the film; 23-min and 2.3-day activities remain. The 23-min activity was known to be an isotope of uranium. In May 1940 Abelson produced conclusive evidence that the 2.3 day activity was from the transuranium element 93. In a reduce state, element 93 coprecipitates with rare earth fluorides. In an oxidized state, the fluoride no longer coprecipitates. Behavior of element 93 was found to resemble that of uranium

  7. The Discovery,Origin,Differentiation and Activation of Regulatory B Cells%调节性 B 细胞的发现、起源和分化及激活

    Institute of Scientific and Technical Information of China (English)

    张怡舜(综述); 陈思娇; 宋今丹(审校)

    2015-01-01

    B细胞的主要功能是分泌抗体和呈递抗原,并以此起始和活化免疫系统发挥正性调节作用。新近研究表明,一类具有负性免疫调节功能的 B 细胞亚群———调节性 B 细胞(Gregs)可通过细胞间直接接触和分泌白细胞介素10等方式下调免疫应答。 Bregs 在许多疾病中发挥着重要的调节作用。 Bregs 的发现、起源、分化将为全面、深入了解自身免疫病免疫耐受的机制,及寻找更合理的自身免疫病治疗方法提供理论依据和新的研究方向。%The main function of Bcells is secreting antibodies,antigen presentation and activating the immune system,so Bcells play a positive regulatory role in immune responses.Recent studies have shown that there is a B cell subset with the function of negative regulation-regulatory Bcells(Bregs). They can down regulate the immune reaction through direct contact with other immune cells or secretion of IL-10 etc.At the same time,Bregs play an important regulatory role in many diseases.The discovery, origin,differentiation and activation of regulatory Bcells will provide the theory basis and the new research direction for the comprehensive,in-depth understanding of immune tolerance mechanisms of autoimmune disease,and for the more reasonable treatment of autoimmune diseases.

  8. Coal Discovery Trail officially opens

    Energy Technology Data Exchange (ETDEWEB)

    Gallinger, C. [Elk Valley Coal Corporation, Sparwood, BC (Canada)

    2004-09-01

    The opening of the 30-kilometre Coal Discovery Trail in August is described. The trail, through a pine, spruce, and larch forest, extends from Sparwood to Fernie and passes through Hosmer, a historic mining site. The trail, part of the Elk Valley Coal Discovery Centre, will be used for hiking, bicycling, horseback riding, and cross-country skiing. The Coal Discovery Centre will provide an interpretive centre that concentrates on history of coal mining and miners, preservation of mining artifacts and sites, and existing technology. 3 figs.

  9. Deep Learning in Drug Discovery.

    Science.gov (United States)

    Gawehn, Erik; Hiss, Jan A; Schneider, Gisbert

    2016-01-01

    Artificial neural networks had their first heyday in molecular informatics and drug discovery approximately two decades ago. Currently, we are witnessing renewed interest in adapting advanced neural network architectures for pharmaceutical research by borrowing from the field of "deep learning". Compared with some of the other life sciences, their application in drug discovery is still limited. Here, we provide an overview of this emerging field of molecular informatics, present the basic concepts of prominent deep learning methods and offer motivation to explore these techniques for their usefulness in computer-assisted drug discovery and design. We specifically emphasize deep neural networks, restricted Boltzmann machine networks and convolutional networks.

  10. Deep Learning in Drug Discovery.

    Science.gov (United States)

    Gawehn, Erik; Hiss, Jan A; Schneider, Gisbert

    2016-01-01

    Artificial neural networks had their first heyday in molecular informatics and drug discovery approximately two decades ago. Currently, we are witnessing renewed interest in adapting advanced neural network architectures for pharmaceutical research by borrowing from the field of "deep learning". Compared with some of the other life sciences, their application in drug discovery is still limited. Here, we provide an overview of this emerging field of molecular informatics, present the basic concepts of prominent deep learning methods and offer motivation to explore these techniques for their usefulness in computer-assisted drug discovery and design. We specifically emphasize deep neural networks, restricted Boltzmann machine networks and convolutional networks. PMID:27491648

  11. Cyberinfrastructure for Atmospheric Discovery

    Science.gov (United States)

    Wilhelmson, R.; Moore, C. W.

    2004-12-01

    Each year across the United States, floods, tornadoes, hail, strong winds, lightning, hurricanes, and winter storms cause hundreds of deaths, routinely disrupt transportation and commerce, and result in billions of dollars in annual economic losses . MEAD and LEAD are two recent efforts aimed at developing the cyberinfrastructure for studying and forecasting these events through collection, integration, and analysis of observational data coupled with numerical simulation, data mining, and visualization. MEAD (Modeling Environment for Atmospheric Discovery) has been funded for two years as an NCSA (National Center for Supercomputing Applications) Alliance Expedition. The goal of this expedition has been the development/adaptation of cyberinfrastructure that will enable research simulations, datamining, machine learning and visualization of hurricanes and storms utilizing the high performance computing environments including the TeraGrid. Portal grid and web infrastructure are being tested that will enable launching of hundreds of individual WRF (Weather Research and Forecasting) simulations. In a similar way, multiple Regional Ocean Modeling System (ROMS) or WRF/ROMS simulations can be carried out. Metadata and the resulting large volumes of data will then be made available for further study and for educational purposes using analysis, mining, and visualization services. Initial coupling of the ROMS and WRF codes has been completed and parallel I/O is being implemented for these models. Management of these activities (services) are being enabled through Grid workflow technologies (e.g. OGCE). LEAD (Linked Environments for Atmospheric Discovery) is a recently funded 5-year, large NSF ITR grant that involves 9 institutions who are developing a comprehensive national cyberinfrastructure in mesoscale meteorology, particularly one that can interoperate with others being developed. LEAD is addressing the fundamental information technology (IT) research challenges needed

  12. Serendipity: Accidental Discoveries in Science

    Science.gov (United States)

    Roberts, Royston M.

    1989-06-01

    Many of the things discovered by accident are important in our everyday lives: Teflon, Velcro, nylon, x-rays, penicillin, safety glass, sugar substitutes, and polyethylene and other plastics. And we owe a debt to accident for some of our deepest scientific knowledge, including Newton's theory of gravitation, the Big Bang theory of Creation, and the discovery of DNA. Even the Rosetta Stone, the Dead Sea Scrolls, and the ruins of Pompeii came to light through chance. This book tells the fascinating stories of these and other discoveries and reveals how the inquisitive human mind turns accident into discovery. Written for the layman, yet scientifically accurate, this illuminating collection of anecdotes portrays invention and discovery as quintessentially human acts, due in part to curiosity, perserverance, and luck.

  13. Discovery of the Arsenic Isotopes

    CERN Document Server

    Shore, A; Heim, M; Schuh, A; Thoennessen, M

    2009-01-01

    Twenty-nine arsenic isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  14. Discovery of the Scandium Isotopes

    CERN Document Server

    Meierfrankenfeld, D

    2010-01-01

    Twenty-three scandium isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  15. Discovery of the Tungsten Isotopes

    OpenAIRE

    A. Fritsch; Ginepro, J. Q.; Heim, M.; Schuh, A.; SHORE, A.; Thoennessen, M

    2009-01-01

    Thirty-five tungsten isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  16. Discovery of the Vanadium Isotopes

    OpenAIRE

    SHORE, A.; A. Fritsch; Heim, M.; Schuh, A.; Thoennessen, M

    2009-01-01

    Twenty-four vanadium isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  17. Discovery of the Barium Isotopes

    OpenAIRE

    SHORE, A.; A. Fritsch; Ginepro, J. Q.; Heim, M.; Schuh, A.; Thoennessen, M

    2009-01-01

    Thirty-eight barium isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  18. Discovery of the Silver Isotopes

    OpenAIRE

    Schuh, A.; A. Fritsch; Ginepro, J. Q.; Heim, M.; SHORE, A.; Thoennessen, M

    2009-01-01

    Thirty-eight silver isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  19. Discovery of the Cadmium Isotopes

    OpenAIRE

    Amos, S.; Thoennessen, M

    2009-01-01

    Thirty-seven cadmium isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  20. Discovery of the Krypton Isotopes

    OpenAIRE

    Heim, M.; A. Fritsch; Schuh, A.; SHORE, A.; Thoennessen, M

    2009-01-01

    Thirty-two krypton isotopes have been observed so far; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  1. Discovery of the Iron Isotopes

    OpenAIRE

    Schuh, A.; A. Fritsch; Heim, M.; SHORE, A.; Thoennessen, M

    2009-01-01

    Twenty-eight iron isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  2. Discovery of the Gold Isotopes

    OpenAIRE

    Schuh, A.; A. Fritsch; Ginepro, J. Q.; Heim, M.; SHORE, A.; Thoennessen, M

    2009-01-01

    Thirty-six gold isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  3. Discovery of the Cobalt Isotopes

    OpenAIRE

    Szymanski, T; Thoennessen, M

    2009-01-01

    Twenty-six cobalt isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  4. Taxonomy Enabled Discovery (TED) Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposal addresses the NASA's need to enable scientific discovery and the topic's requirements for: processing large volumes of data, commonly available on the...

  5. A discovery solution from Ebsco

    OpenAIRE

    Martín Michavila, Mariano

    2009-01-01

    EBSCO offers complementary access tools to gain greater value from the discovery solution: a customizable, versatile knowledgebase and listing service that enhances discovery, brings more visibility to the library’s collection, get users to specific content, and makes it easier for librarians to manage e-resources. It is an effective tool for end users who may gather information by browsing (journal lists, TOC, etc.), alerting (journal alerts, RSS) or known-item searching.

  6. Verbessern Discovery Systeme die Informationskompetenz?

    OpenAIRE

    Dörte Böhner

    2013-01-01

    Mit dem Auftauchen von Discovery Systemen entstand die Hoffnung, dass der Schulungsbedarf und damit der Aufwand für die Vermittlung von Informationskompetenz verringert und durch die Systeme selbst die Informationskompetenz verbessert werden kann. Dieser Beitrag beleuchtet kritisch das Zusam­menspiel von Discovery Systemen und Informationskompetenz anhand von Recherchegewohnheiten eher untrainierter Studierender. Anhand einer kurzen Gegenüberstellung der unterschiedlichen Recherche­konzepte v...

  7. Verbessern Discovery Systeme die Informationskompetenz?

    Directory of Open Access Journals (Sweden)

    Dörte Böhner

    2013-09-01

    Full Text Available Mit dem Auftauchen von Discovery Systemen entstand die Hoffnung, dass der Schulungsbedarf und damit der Aufwand für die Vermittlung von Informationskompetenz verringert und durch die Systeme selbst die Informationskompetenz verbessert werden kann. Dieser Beitrag beleuchtet kritisch das Zusam­menspiel von Discovery Systemen und Informationskompetenz anhand von Recherchegewohnheiten eher untrainierter Studierender. Anhand einer kurzen Gegenüberstellung der unterschiedlichen Recherche­konzepte von Suchmaschinen und bibliothekarischen Rechercheangeboten werden Rückschlüsse auf die zu fördernden Schwerpunkte bei der Informationskompetenz gezogen und untersucht, welche Schlüsselrolle Discovery Systeme dabei spielen.The dissemination of discovery systems has raised hopes that the need for extensive teaching of information literacy might be reduced in the future. Also, their intuitive approach has been hopefully seen to enable the development of a better information literacy. This article critically focusses on the interaction of discovery systems and information literacy by analysing research behaviours of comparatively untrained students. In order to define which specific themes should be promoted by information literacy education, the author examines various research concepts of search engines as well as research offers of libraries. On this basis the key role of discovery systems will be explored.

  8. Get Involved in Planetary Discoveries through New Worlds, New Discoveries

    Science.gov (United States)

    Shupla, Christine; Shipp, S. S.; Halligan, E.; Dalton, H.; Boonstra, D.; Buxner, S.; SMD Planetary Forum, NASA

    2013-01-01

    "New Worlds, New Discoveries" is a synthesis of NASA’s 50-year exploration history which provides an integrated picture of our new understanding of our solar system. As NASA spacecraft head to and arrive at key locations in our solar system, "New Worlds, New Discoveries" provides an integrated picture of our new understanding of the solar system to educators and the general public! The site combines the amazing discoveries of past NASA planetary missions with the most recent findings of ongoing missions, and connects them to the related planetary science topics. "New Worlds, New Discoveries," which includes the "Year of the Solar System" and the ongoing celebration of the "50 Years of Exploration," includes 20 topics that share thematic solar system educational resources and activities, tied to the national science standards. This online site and ongoing event offers numerous opportunities for the science community - including researchers and education and public outreach professionals - to raise awareness, build excitement, and make connections with educators, students, and the public about planetary science. Visitors to the site will find valuable hands-on science activities, resources and educational materials, as well as the latest news, to engage audiences in planetary science topics and their related mission discoveries. The topics are tied to the big questions of planetary science: how did the Sun’s family of planets and bodies originate and how have they evolved? How did life begin and evolve on Earth, and has it evolved elsewhere in our solar system? Scientists and educators are encouraged to get involved either directly or by sharing "New Worlds, New Discoveries" and its resources with educators, by conducting presentations and events, sharing their resources and events to add to the site, and adding their own public events to the site’s event calendar! Visit to find quality resources and ideas. Connect with educators, students and the public to

  9. Universal Knowledge Discovery from Big Data: Towards a Paradigm Shift from 'Knowledge Discovery' to 'Wisdom Discovery'

    OpenAIRE

    Shen, Bin

    2014-01-01

    Many people hold a vision that big data will provide big insights and have a big impact in the future, and big-data-assisted scientific discovery is seen as an emerging and promising scientific paradigm. However, how to turn big data into deep insights with tremendous value still remains obscure. To meet the challenge, universal knowledge discovery from big data (UKD) is proposed. The new concept focuses on discovering universal knowledge, which exists in the statistical analyses of big data ...

  10. 24 CFR 26.18 - Discovery.

    Science.gov (United States)

    2010-04-01

    ... knowledge of any discoverable matter. For good cause, the hearing officer may order discovery of any matter... 24 Housing and Urban Development 1 2010-04-01 2010-04-01 false Discovery. 26.18 Section 26.18... PROCEDURES Hearings Before Hearing Officers Discovery § 26.18 Discovery. (a) General. The parties...

  11. 43 CFR 4.1130 - Discovery methods.

    Science.gov (United States)

    2010-10-01

    ... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Discovery methods. 4.1130 Section 4.1130... Special Rules Applicable to Surface Coal Mining Hearings and Appeals Discovery § 4.1130 Discovery methods. Parties may obtain discovery by one or more of the following methods— (a) Depositions upon...

  12. 42 CFR 405.1037 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... original discovery deadline. (5) If the ALJ grants the extension request, it must impose a new discovery... 42 Public Health 2 2010-10-01 2010-10-01 false Discovery. 405.1037 Section 405.1037 Public Health... Appeals Under Original Medicare (Part A and Part B) Alj Hearings § 405.1037 Discovery. (a) General...

  13. 14 CFR 1264.120 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... PENALTIES ACT OF 1986 § 1264.120 Discovery. (a) The following types of discovery are authorized: (1... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false Discovery. 1264.120 Section 1264.120..., discovery is available only as ordered by the presiding officer. The presiding officer shall regulate...

  14. 31 CFR 16.21 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... FRAUD CIVIL REMEDIES ACT OF 1986 § 16.21 Discovery. (a) The following types of discovery are authorized... 31 Money and Finance: Treasury 1 2010-07-01 2010-07-01 false Discovery. 16.21 Section 16.21 Money... to require the creation of a document. (c) Unless mutually agreed to by the parties, discovery...

  15. 38 CFR 42.21 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... IMPLEMENTING THE PROGRAM FRAUD CIVIL REMEDIES ACT § 42.21 Discovery. (a) The following types of discovery are... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false Discovery. 42.21 Section... creation of a document. (c) Unless mutually agreed to by the parties, discovery is available only...

  16. Advances in Nuclear Magnetic Resonance for Drug Discovery

    Science.gov (United States)

    Powers, Robert

    2010-01-01

    Background Drug discovery is a complex and unpredictable endeavor with a high failure rate. Current trends in the pharmaceutical industry have exasperated these challenges and are contributing to the dramatic decline in productivity observed over the last decade. The industrialization of science by forcing the drug discovery process to adhere to assembly-line protocols is imposing unnecessary restrictions, such as short project time-lines. Recent advances in nuclear magnetic resonance are responding to these self-imposed limitations and are providing opportunities to increase the success rate of drug discovery. Objective/Method A review of recent advancements in NMR technology that have the potential of significantly impacting and benefiting the drug discovery process will be presented. These include fast NMR data collection protocols and high-throughput protein structure determination, rapid protein-ligand co-structure determination, lead discovery using fragment-based NMR affinity screens, NMR metabolomics to monitor in vivo efficacy and toxicity for lead compounds, and the identification of new therapeutic targets through the functional annotation of proteins by FAST-NMR. Conclusion NMR is a critical component of the drug discovery process, where the versatility of the technique enables it to continually expand and evolve its role. NMR is expected to maintain this growth over the next decade with advancements in automation, speed of structure calculation, in-cell imaging techniques, and the expansion of NMR amenable targets. PMID:20333269

  17. Metagenomics and future perspectives in virus discovery.

    Science.gov (United States)

    Mokili, John L; Rohwer, Forest; Dutilh, Bas E

    2012-02-01

    Monitoring the emergence and re-emergence of viral diseases with the goal of containing the spread of viral agents requires both adequate preparedness and quick response. Identifying the causative agent of a new epidemic is one of the most important steps for effective response to disease outbreaks. Traditionally, virus discovery required propagation of the virus in cell culture, a proven technique responsible for the identification of the vast majority of viruses known to date. However, many viruses cannot be easily propagated in cell culture, thus limiting our knowledge of viruses. Viral metagenomic analyses of environmental samples suggest that the field of virology has explored less than 1% of the extant viral diversity. In the last decade, the culture-independent and sequence-independent metagenomic approach has permitted the discovery of many viruses in a wide range of samples. Phylogenetically, some of these viruses are distantly related to previously discovered viruses. In addition, 60-99% of the sequences generated in different viral metagenomic studies are not homologous to known viruses. In this review, we discuss the advances in the area of viral metagenomics during the last decade and their relevance to virus discovery, clinical microbiology and public health. We discuss the potential of metagenomics for characterization of the normal viral population in a healthy community and identification of viruses that could pose a threat to humans through zoonosis. In addition, we propose a new model of the Koch's postulates named the 'Metagenomic Koch's Postulates'. Unlike the original Koch's postulates and the Molecular Koch's postulates as formulated by Falkow, the metagenomic Koch's postulates focus on the identification of metagenomic traits in disease cases. The metagenomic traits that can be traced after healthy individuals have been exposed to the source of the suspected pathogen.

  18. The Europa Ocean Discovery mission

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.C. [Los Alamos National Lab., NM (United States); Chyba, C.F. [Univ. of Arizona, Tucson, AZ (United States); Abshire, J.B. [National Aeronautics and Space Administration, Greenbelt, MD (United States). Goddard Space Flight Center] [and others

    1997-06-01

    Since it was first proposed that tidal heating of Europa by Jupiter might lead to liquid water oceans below Europa`s ice cover, there has been speculation over the possible exobiological implications of such an ocean. Liquid water is the essential ingredient for life as it is known, and the existence of a second water ocean in the Solar System would be of paramount importance for seeking the origin and existence of life beyond Earth. The authors present here a Discovery-class mission concept (Europa Ocean Discovery) to determine the existence of a liquid water ocean on Europa and to characterize Europa`s surface structure. The technical goal of the Europa Ocean Discovery mission is to study Europa with an orbiting spacecraft. This goal is challenging but entirely feasible within the Discovery envelope. There are four key challenges: entering Europan orbit, generating power, surviving long enough in the radiation environment to return valuable science, and complete the mission within the Discovery program`s launch vehicle and budget constraints. The authors will present here a viable mission that meets these challenges.

  19. A Mars Exploration Discovery Program

    Science.gov (United States)

    Hansen, C. J.; Paige, D. A.

    2000-07-01

    The Mars Exploration Program should consider following the Discovery Program model. In the Discovery Program a team of scientists led by a PI develop the science goals of their mission, decide what payload achieves the necessary measurements most effectively, and then choose a spacecraft with the capabilities needed to carry the payload to the desired target body. The primary constraints associated with the Discovery missions are time and money. The proposer must convince reviewers that their mission has scientific merit and is feasible. Every Announcement of Opportunity has resulted in a collection of creative ideas that fit within advertised constraints. Following this model, a "Mars Discovery Program" would issue an Announcement of Opportunity for each launch opportunity with schedule constraints dictated by the launch window and fiscal constraints in accord with the program budget. All else would be left to the proposer to choose, based on the science the team wants to accomplish, consistent with the program theme of "Life, Climate and Resources". A proposer could propose a lander, an orbiter, a fleet of SCOUT vehicles or penetrators, an airplane, a balloon mission, a large rover, a small rover, etc. depending on what made the most sense for the science investigation and payload. As in the Discovery program, overall feasibility relative to cost, schedule and technology readiness would be evaluated and be part of the selection process.

  20. Does Discovery-Based Instruction Enhance Learning?

    OpenAIRE

    Alfieri, L.; Brooks, PJ; Aldrich, NJ; Tenenbaum, HR

    2011-01-01

    Discovery learning approaches to education have recently come under scrutiny (Tobias & Duffy, 2009), with many studies indicating limitations to discovery learning practices. Therefore, 2 meta-analyses were conducted using a sample of 164 studies: The 1st examined the effects of unassisted discovery learning versus explicit instruction, and the 2nd examined the effects of enhanced and/or assisted discovery versus other types of instruction (e.g., explicit, unassisted discovery). Random effect...

  1. Discovery of the higgs boson

    CERN Document Server

    Sharma, Vivek

    2016-01-01

    The recent observation of the Higgs boson has been hailed as the scientific discovery of the century and led to the 2013 Nobel Prize in physics. This book describes the detailed science behind the decades-long search for this elusive particle at the Large Electron Positron Collider at CERN and at the Tevatron at Fermilab and its subsequent discovery and characterization at the Large Hadron Collider at CERN. Written by physicists who played leading roles in this epic search and discovery, this book is an authoritative and pedagogical exposition of the portrait of the Higgs boson that has emerged from a large number of experimental measurements. As the first of its kind, this book should be of interest to graduate students and researchers in particle physics.

  2. Supporting knowledge discovery in medicine.

    Science.gov (United States)

    Girardi, Dominic; Arthofer, Klaus

    2014-01-01

    Our ontology-based benchmarking infrastructure for hospitals, we presented on the eHealth 2012, has meanwhile proven useful. Besides, we gathered manifold experience in supporting knowledge discovery in medicine. This also led to further functions and plans with our software. We could confirm and extent our experience by a literature review on the knowledge discovery process in medicine, visual analytics and data mining and drafted an according approach for extending our software. We validated our approach by exemplarily implementing a parallel-coordinate data visualization into our software and plan to integrate further algorithms for visual analytics and machine learning to support knowledge discovery in medicine in diverse ways. This is very promising but can also fail due to technical or organizational details.

  3. Towards structural web services discovery

    Institute of Scientific and Technical Information of China (English)

    CHEN Jiang-feng

    2008-01-01

    A syntactic and structural matching mechanism for service discovery was put forward, which tries to exploit the underlying semantics of web services to enhance the traditional syntactic service discovery. We commit WSDL (Web Service Description Language) as service description language. The syntactic matching mechanism is based on the textual similarity among WSDL documents using VSM (Vector Space Model). The structural information is extracted from WSDL document tree or the invocation sequence of a series of services which can be viewed as the problem of graph isomorphism. Then we combine the syntactic and structural similarity linearly to calculate the service similarity. Finally we provide a novel web services discovery framework named SG* to find the exact services meeting the users' goals based on service similarity.

  4. Using Aptamers for Cancer Biomarker Discovery

    Directory of Open Access Journals (Sweden)

    Yun Min Chang

    2013-01-01

    Full Text Available Aptamers are single-stranded synthetic DNA- or RNA-based oligonucleotides that fold into various shapes to bind to a specific target, which includes proteins, metals, and molecules. Aptamers have high affinity and high specificity that are comparable to that of antibodies. They are obtained using iterative method, called (Systematic Evolution of Ligands by Exponential Enrichment SELEX and cell-based SELEX (cell-SELEX. Aptamers can be paired with recent advances in nanotechnology, microarray, microfluidics, and other technologies for applications in clinical medicine. One particular area that aptamers can shed a light on is biomarker discovery. Biomarkers are important in diagnosis and treatment of cancer. In this paper, we will describe ways in which aptamers can be used to discover biomarkers for cancer diagnosis and therapeutics.

  5. Drug discovery for alopecia: gone today, hair tomorrow

    Science.gov (United States)

    Santos, Zenildo; Avci, Pinar; Hamblin, Michael R

    2015-01-01

    Introduction Hair loss or alopecia affects the majority of the population at some time in their life, and increasingly, sufferers are demanding treatment. Three main types of alopecia (androgenic [AGA], areata [AA] and chemotherapy-induced [CIA]) are very different, and have their own laboratory models and separate drug-discovery efforts. Areas covered In this article, the authors review the biology of hair, hair follicle (HF) cycling, stem cells and signaling pathways. AGA, due to dihydrotesterone, is treated by 5-α reductase inhibitors, androgen receptor blockers and ATP-sensitive potassium channel-openers. AA, which involves attack by CD8+NK group 2D-positive (NKG2D+) T cells, is treated with immunosuppressives, biologics and JAK inhibitors. Meanwhile, CIA is treated by apoptosis inhibitors, cytokines and topical immunotherapy. Expert opinion The desire to treat alopecia with an easy topical preparation is expected to grow with time, particularly with an increasing aging population. The discovery of epidermal stem cells in the HF has given new life to the search for a cure for baldness. Drug discovery efforts are being increasingly centered on these stem cells, boosting the hair cycle and reversing miniaturization of HF. Better understanding of the molecular mechanisms underlying the immune attack in AA will yield new drugs. New discoveries in HF neogenesis and low-level light therapy will undoubtedly have a role to play. PMID:25662177

  6. Knowledge discovery from legal databases

    CERN Document Server

    Stranieri, Andrew; Schauer, Frederick

    2006-01-01

    Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit.  Issues such as the selection of commonplace cases, the use of discretion as a form

  7. Clarification of Premature Discovery in Science in Terms of Higher Education and Broader Communication

    Science.gov (United States)

    Onuigbo, Wilson I. B.

    2009-01-01

    The concept of premature discovery in science entails the publication of an important idea which remains uncited for a long period. Thereafter, a deluge of citations of its substance would occur. An overlooked example concerns the discovery in 1963 of how lung cancer cells stimulate the formation of new lymph vessels in man. Subsequently called…

  8. Trends in Modern Drug Discovery.

    Science.gov (United States)

    Eder, Jörg; Herrling, Paul L

    2016-01-01

    Drugs discovered by the pharmaceutical industry over the past 100 years have dramatically changed the practice of medicine and impacted on many aspects of our culture. For many years, drug discovery was a target- and mechanism-agnostic approach that was based on ethnobotanical knowledge often fueled by serendipity. With the advent of modern molecular biology methods and based on knowledge of the human genome, drug discovery has now largely changed into a hypothesis-driven target-based approach, a development which was paralleled by significant environmental changes in the pharmaceutical industry. Laboratories became increasingly computerized and automated, and geographically dispersed research sites are now more and more clustered into large centers to capture technological and biological synergies. Today, academia, the regulatory agencies, and the pharmaceutical industry all contribute to drug discovery, and, in order to translate the basic science into new medical treatments for unmet medical needs, pharmaceutical companies have to have a critical mass of excellent scientists working in many therapeutic fields, disciplines, and technologies. The imperative for the pharmaceutical industry to discover breakthrough medicines is matched by the increasing numbers of first-in-class drugs approved in recent years and reflects the impact of modern drug discovery approaches, technologies, and genomics. PMID:26330257

  9. Smartphones: A Potential Discovery Tool

    OpenAIRE

    Starkweather, Wendy; Stowers, Eva

    2009-01-01

    The anticipated wide adoption of smartphones by researchers is viewed by the authors as a basis for developing mobile-based services. In response to the UNLV Libraries’ strategic plan’s focus on experimentation and outreach, the authors investigate the current and potential role of smartphones as a valuable discovery tool for library users.

  10. Trends in Modern Drug Discovery.

    Science.gov (United States)

    Eder, Jörg; Herrling, Paul L

    2016-01-01

    Drugs discovered by the pharmaceutical industry over the past 100 years have dramatically changed the practice of medicine and impacted on many aspects of our culture. For many years, drug discovery was a target- and mechanism-agnostic approach that was based on ethnobotanical knowledge often fueled by serendipity. With the advent of modern molecular biology methods and based on knowledge of the human genome, drug discovery has now largely changed into a hypothesis-driven target-based approach, a development which was paralleled by significant environmental changes in the pharmaceutical industry. Laboratories became increasingly computerized and automated, and geographically dispersed research sites are now more and more clustered into large centers to capture technological and biological synergies. Today, academia, the regulatory agencies, and the pharmaceutical industry all contribute to drug discovery, and, in order to translate the basic science into new medical treatments for unmet medical needs, pharmaceutical companies have to have a critical mass of excellent scientists working in many therapeutic fields, disciplines, and technologies. The imperative for the pharmaceutical industry to discover breakthrough medicines is matched by the increasing numbers of first-in-class drugs approved in recent years and reflects the impact of modern drug discovery approaches, technologies, and genomics.

  11. Antibody informatics for drug discovery

    DEFF Research Database (Denmark)

    Shirai, Hiroki; Prades, Catherine; Vita, Randi;

    2014-01-01

    for antibody rational design using computational approaches to affinity and stability improvement, as well as ab-initio and homology-based antibody modeling; (ii) resources for antibody sequences, structures, and immune epitopes and open drug discovery resources for development of antibody drugs; and (iii...

  12. Structural Biology Guides Antibiotic Discovery

    Science.gov (United States)

    Polyak, Steven

    2014-01-01

    Modern drug discovery programs require the contribution of researchers in a number of specialist areas. One of these areas is structural biology. Using X-ray crystallography, the molecular basis of how a drug binds to its biological target and exerts its mode of action can be defined. For example, a drug that binds into the active site of an…

  13. Macchines per scoprire - Discovery Machines

    CERN Multimedia

    Auditorium, Rome

    2016-01-01

    During the FCC week 2016 a public event entitled “Discovery Machines: The Higgs Boson and the Search for New Physics took place on 14 April at the Auditorium in Rome. The event, brought together physicists and experts from economics to discuss intriguing questions on the origin and evolution of the Universe and the societal impact of large-scale research projects.

  14. Discovery and development of sulforaphane as a cancer chemopreventive phytochemical

    Institute of Scientific and Technical Information of China (English)

    Yuesheng ZHANG; Li TANG

    2007-01-01

    Sulforaphane (SF) is a phytochemical that displays both anticarcinogenic and anticancer activity. SF modulates many cancer-related events, including suscep-tibility to carcinogens, cell death, cell cycle, angiogenesis, invasion and metastasis.We review its discovery and development as a cancer chemopreventive agent with the intention of encouraging further research on this important compound and facilitating the identification and development of new phytochemicals for cancer prevention.

  15. From bench to patient: model systems in drug discovery.

    Science.gov (United States)

    Breyer, Matthew D; Look, A Thomas; Cifra, Alessandra

    2015-10-01

    Model systems, including laboratory animals, microorganisms, and cell- and tissue-based systems, are central to the discovery and development of new and better drugs for the treatment of human disease. In this issue, Disease Models & Mechanisms launches a Special Collection that illustrates the contribution of model systems to drug discovery and optimisation across multiple disease areas. This collection includes reviews, Editorials, interviews with leading scientists with a foot in both academia and industry, and original research articles reporting new and important insights into disease therapeutics. This Editorial provides a summary of the collection's current contents, highlighting the impact of multiple model systems in moving new discoveries from the laboratory bench to the patients' bedsides. PMID:26438689

  16. From bench to patient: model systems in drug discovery

    Directory of Open Access Journals (Sweden)

    Matthew D. Breyer

    2015-10-01

    Full Text Available Model systems, including laboratory animals, microorganisms, and cell- and tissue-based systems, are central to the discovery and development of new and better drugs for the treatment of human disease. In this issue, Disease Models & Mechanisms launches a Special Collection that illustrates the contribution of model systems to drug discovery and optimisation across multiple disease areas. This collection includes reviews, Editorials, interviews with leading scientists with a foot in both academia and industry, and original research articles reporting new and important insights into disease therapeutics. This Editorial provides a summary of the collection's current contents, highlighting the impact of multiple model systems in moving new discoveries from the laboratory bench to the patients' bedsides.

  17. 5 CFR 185.122 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... § 185.122 Discovery. (a) The following types of discovery are authorized: (1) Requests for production of... document or of the truth of any relevant fact; (3) Written interrogatories; and (4) Depositions. (b)...

  18. 24 CFR 26.42 - Discovery.

    Science.gov (United States)

    2010-04-01

    ... subject to a protective order under § 26.44. (c) Authorized discovery. The following types of discovery... or of the truth of any relevant matters of fact. Copies of documents shall be delivered with...

  19. 40 CFR 27.21 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... Discovery. (a) The following types of discovery are authorized: (1) Requests for production of documents for... truth of any relevant fact; (3) Written interrogatories; and (4) Depositions. (b) For the purpose...

  20. 22 CFR 224.21 - Discovery.

    Science.gov (United States)

    2010-04-01

    ....21 Discovery. (a) The following types of discovery are authorized: (1) Requests for production of... document or the truth of any relevant fact; (3) Written interrogatories; and (4) Depositions. (b) For...

  1. 15 CFR 25.21 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... Discovery. (a) The following types of discovery are authorized: (1) Requests for production of documents for... truth of any relevant fact; (3) Written interrogatories; and (4) Depositions. (b) For the purpose...

  2. Discovery of charmed particles : Sam Ting

    CERN Multimedia

    1974-01-01

    The great physics event of the year was the discovery of charmed particles in the USA. One of the co-discoverers, Sam Ting, was at CERN involved in an ISR experiment and described the discovery to a packed auditorium.

  3. [GWAS of Rheumatoid Arthritis and Drug Discovery].

    Science.gov (United States)

    Ohmura, Koichiro

    2015-04-01

    We have conducted genome-wide association studies (GWAS) for rheumatoid arthritis (RA). We previously found that myelin basic protein (MBP) is associated with RA. One of the MBP isoforms (Golli-MBP) is expressed not only in nerve cells, but also in hematopoietic cells, and may negatively regulate T-cell receptor signaling. We expanded the GWAS level by collaborating with laboratories in Japan and then throughout the world. Meta-analysis of GWAS data resulted in the identification of -100 genomic loci associated with RA development. The -100 genomic loci contain -400 candidate genes, and it is not easy to find out which genes actually play important roles in RA. By incorporating available public databases, we succeeded in narrowing down the susceptibility genes from 377 to 98. We also showed that regulatory T cells are associated with RA based on the combination of the histone methylation database and our mega-GWAS results. Protein-protein interaction and drug discovery databases gave us information that some of the drugs have already been developed as therapeutic medicines for RA, and some of them were used for diseases other than RA. These drugs may be used for RA in the near future (drug repurposing). The combination of biological databases and GWAS results may be a novel method to identify new therapeutic targets.

  4. [GWAS of Rheumatoid Arthritis and Drug Discovery].

    Science.gov (United States)

    Ohmura, Koichiro

    2015-04-01

    We have conducted genome-wide association studies (GWAS) for rheumatoid arthritis (RA). We previously found that myelin basic protein (MBP) is associated with RA. One of the MBP isoforms (Golli-MBP) is expressed not only in nerve cells, but also in hematopoietic cells, and may negatively regulate T-cell receptor signaling. We expanded the GWAS level by collaborating with laboratories in Japan and then throughout the world. Meta-analysis of GWAS data resulted in the identification of -100 genomic loci associated with RA development. The -100 genomic loci contain -400 candidate genes, and it is not easy to find out which genes actually play important roles in RA. By incorporating available public databases, we succeeded in narrowing down the susceptibility genes from 377 to 98. We also showed that regulatory T cells are associated with RA based on the combination of the histone methylation database and our mega-GWAS results. Protein-protein interaction and drug discovery databases gave us information that some of the drugs have already been developed as therapeutic medicines for RA, and some of them were used for diseases other than RA. These drugs may be used for RA in the near future (drug repurposing). The combination of biological databases and GWAS results may be a novel method to identify new therapeutic targets. PMID:26536782

  5. Does Discovery-Based Instruction Enhance Learning?

    Science.gov (United States)

    Alfieri, Louis; Brooks, Patricia J.; Aldrich, Naomi J.; Tenenbaum, Harriet R.

    2011-01-01

    Discovery learning approaches to education have recently come under scrutiny (Tobias & Duffy, 2009), with many studies indicating limitations to discovery learning practices. Therefore, 2 meta-analyses were conducted using a sample of 164 studies: The 1st examined the effects of unassisted discovery learning versus explicit instruction, and the…

  6. 12 CFR 19.170 - Discovery depositions.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Discovery depositions. 19.170 Section 19.170... PROCEDURE Discovery Depositions and Subpoenas § 19.170 Discovery depositions. (a) General rule. In any... deposition of an expert, or of a person, including another party, who has direct knowledge of matters...

  7. 29 CFR 1955.32 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 9 2010-07-01 2010-07-01 false Discovery. 1955.32 Section 1955.32 Labor Regulations...) PROCEDURES FOR WITHDRAWAL OF APPROVAL OF STATE PLANS Preliminary Conference and Discovery § 1955.32 Discovery... the remainder. An answering party may not give lack of information or knowledge as the reason...

  8. 29 CFR 18.13 - Discovery methods.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 1 2010-07-01 2010-07-01 true Discovery methods. 18.13 Section 18.13 Labor Office of the... ADMINISTRATIVE LAW JUDGES General § 18.13 Discovery methods. Parties may obtain discovery by one or more of the following methods: Depositions upon oral examination or written questions; written...

  9. 28 CFR 71.21 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... REMEDIES ACT OF 1986 Implementation for Actions Initiated by the Department of Justice § 71.21 Discovery. (a) The following types of discovery are authorized: (1) Requests for production of documents for... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Discovery. 71.21 Section 71.21...

  10. 22 CFR 521.21 - Discovery.

    Science.gov (United States)

    2010-04-01

    ... 22 Foreign Relations 2 2010-04-01 2010-04-01 true Discovery. 521.21 Section 521.21 Foreign Relations BROADCASTING BOARD OF GOVERNORS IMPLEMENTATION OF THE PROGRAM FRAUD CIVIL REMEDIES ACT § 521.21 Discovery. (a) The following types of discovery are authorized: (1) Requests for production of documents...

  11. 43 CFR 4.826 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... the Interior-Effectuation of Title VI of the Civil Rights Act of 1964 Procedures § 4.826 Discovery. (a) Methods. Parties may obtain discovery as provided in these rules by depositions, written interrogatories... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Discovery. 4.826 Section 4.826...

  12. 7 CFR 1.322 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... Under the Program Fraud Civil Remedies Act of 1986 § 1.322 Discovery. (a) The following types of discovery are authorized: (1) Requests for production, inspection and photocopying of documents; (2... 7 Agriculture 1 2010-01-01 2010-01-01 false Discovery. 1.322 Section 1.322 Agriculture Office...

  13. 29 CFR 1905.25 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... OCCUPATIONAL SAFETY AND HEALTH ACT OF 1970 Hearings § 1905.25 Discovery. (a) Depositions. (1) For reasons of... 29 Labor 5 2010-07-01 2010-07-01 false Discovery. 1905.25 Section 1905.25 Labor Regulations... discovery. Whenever appropriate to a just disposition of any issue in a hearing, the presiding...

  14. 20 CFR 355.21 - Discovery.

    Science.gov (United States)

    2010-04-01

    ... UNDER THE PROGRAM FRAUD CIVIL REMEDIES ACT OF 1986 § 355.21 Discovery. (a) The following types of discovery are authorized: (1) Requests for production of documents for inspection and copying; (2) Requests... 20 Employees' Benefits 1 2010-04-01 2010-04-01 false Discovery. 355.21 Section 355.21...

  15. Discovery in Science and in Teaching Science

    Science.gov (United States)

    Kipnis, Nahum

    2007-01-01

    A proper presentation of scientific discoveries may allow science teachers to eliminate certain myths about the nature of science, which originate from an uncertainty among scholars about what constitutes a discovery. It is shown that a disagreement on this matter originates from a confusion of the act of discovery with response to it. It is…

  16. Glycoscience aids in biomarker discovery

    Directory of Open Access Journals (Sweden)

    Serenus Hua1,2 & Hyun Joo An1,2,*

    2012-06-01

    Full Text Available The glycome consists of all glycans (or carbohydrates within abiological system, and modulates a wide range of important biologicalactivities, from protein folding to cellular communications.The mining of the glycome for disease markers representsa new paradigm for biomarker discovery; however, this effortis severely complicated by the vast complexity and structuraldiversity of glycans. This review summarizes recent developmentsin analytical technology and methodology as applied tothe fields of glycomics and glycoproteomics. Mass spectrometricstrategies for glycan compositional profiling are described, as arepotential refinements which allow structure-specific profiling.Analytical methods that can discern protein glycosylation at aspecific site of modification are also discussed in detail.Biomarker discovery applications are shown at each level ofanalysis, highlighting the key role that glycoscience can play inhelping scientists understand disease biology.

  17. Materials discovery via CALYPSO methodology

    Science.gov (United States)

    Wang, Yanchao; Lv, Jian; Zhu, Li; Lu, Shaohua; Yin, Ketao; Li, Quan; Wang, Hui; Zhang, Lijun; Ma, Yanming

    2015-05-01

    The structure prediction at the atomic level is emerging as a state-of-the-art approach to accelerate the functionality-driven discovery of materials. By combining the global swarm optimization algorithm with first-principles thermodynamic calculations, it exploits the power of current supercomputer architectures to robustly predict the ground state and metastable structures of materials with only the given knowledge of chemical composition. In this Review, we provide an overview of the basic theory and main features of our as-developed CALYPSO structure prediction method, as well as its versatile applications to design of a broad range of materials including those of three-dimensional bulks, two-dimensional reconstructed surfaces and layers, and isolated clusters/nanoparticles or molecules with a variety of functional properties. The current challenges faced by structure prediction for materials discovery and future developments of CALYPSO to overcome them are also discussed.

  18. Class Discovery in Galaxy Classification

    CERN Document Server

    Bazell, D; Bazell, David; Miller, David J.

    2004-01-01

    In recent years, automated, supervised classification techniques have been fruitfully applied to labeling and organizing large astronomical databases. These methods require off-line classifier training, based on labeled examples from each of the (known) object classes. In practice, only a small batch of labeled examples, hand-labeled by a human expert, may be available for training. Moreover, there may be no labeled examples for some classes present in the data, i.e. the database may contain several unknown classes. Unknown classes may be present due to 1) uncertainty in or lack of knowledge of the measurement process, 2) an inability to adequately ``survey'' a massive database to assess its content (classes), and/or 3) an incomplete scientific hypothesis. In recent work, new class discovery in mixed labeled/unlabeled data was formally posed, with a proposed solution based on mixture models. In this work we investigate this approach, propose a competing technique suitable for class discovery in neural network...

  19. Materials Discovery: Informatic Strategies for Optical Materials

    Energy Technology Data Exchange (ETDEWEB)

    Ferris, Kim F.; Webb-Robertson, Bobbie-Jo M.; Jones, Dumont M.

    2007-01-15

    Information-based materials discovery offers a structured method to evolve materials signatures based upon their physical properties, and to direct searches using performance-based criteria. In this current paper, we focus on the crystal structure aspects of an optical material and construct an information-based model to determine the proclivity of a particular AB composition to exhibit multiple crystal system behavior. Exploratory data methods used both supervised (support-vector machines) and unsupervised (disorder-reduction and principal-component) classification methods for structural signature development; revealing complementary valid signatures. Examination of the relative contributions of the materials chemistry descriptors within these signatures indicates a strong role for Mendeleev number chemistry which must be balanced against the cationic/anionic radius ratio and electronegativity differences of constituents within the unit cell.

  20. Advanced DNA assembly technologies in drug discovery.

    Science.gov (United States)

    Tsvetanova, Billyana; Peng, Lansha; Liang, Xiquan; Li, Ke; Hammond, Linda; Peterson, Todd C; Katzen, Federico

    2012-05-01

    Recombinant DNA technologies have had a fundamental impact on drug discovery. The continuous emergence of unique gene assembly techniques resulted in the generation of a variety of therapeutic reagents such as vaccines, cancer treatment molecules and regenerative medicine precursors. With the advent of synthetic biology there is a growing need for precise and concerted assembly of multiple DNA fragments of various sizes, including chromosomes. In this article, we summarize the highlights of the recombinant DNA technology since its inception in the early 1970s, emphasizing on the most recent advances, and underscoring their principles, advantages and shortcomings. Current and prior cloning trends are discussed in the context of sequence requirements and scars left behind. Our opinion is that despite the remarkable progress that has enabled the generation and manipulation of very large DNA sequences, a better understanding of the cell's natural circuits is needed in order to fully exploit the current state-of-the-art gene assembly technologies.

  1. Metagenomic small molecule discovery methods

    OpenAIRE

    Charlop-Powers, Zachary; Milshteyn, Aleksandr; Brady, Sean F

    2014-01-01

    Metagenomic approaches to natural product discovery provide the means of harvesting bioactive small molecules synthesized by environmental bacteria without the requirement of first culturing these organisms. Advances in sequencing technologies and general metagenomic methods are beginning to provide the tools necessary to unlock the unexplored biosynthetic potential encoded by the genomes of uncultured environmental bacteria. Here, we highlight recent advances in sequence- and functional- bas...

  2. Gas reserves, discoveries and production

    Energy Technology Data Exchange (ETDEWEB)

    Saniere, A

    2006-07-01

    Between 2000 and 2004, new discoveries, located mostly in the Asia/Pacific region, permitted a 71% produced reserve replacement rate. The Middle East and the offshore sector represent a growing proportion of world gas production Non-conventional gas resources are substantial but are not exploited to any significant extent, except in the United States, where they account for 30% of U.S. gas production. (author)

  3. Towards Discovery of Subgraph Bisociations

    OpenAIRE

    Nagel, Uwe; Thiel, Kilian; Kötter, Tobias; Piatek, Dawid; Berthold, Michael R

    2012-01-01

    The discovery of surprising relations in large, heterogeneous information repositories is gaining increasing importance in real world data analysis. If these repositories come from diverse origins, forming different domains, domain bridging associations between otherwise weakly connected domains can provide insights into the data that are not accomplished by aggregative approaches. In this paper, we propose a first formalization for the detection of such potentially interesting, domaincrossin...

  4. Optimizing Viral Discovery in Bats.

    Science.gov (United States)

    Young, Cristin C W; Olival, Kevin J

    2016-01-01

    Viral discovery studies in bats have increased dramatically over the past decade, yet a rigorous synthesis of the published data is lacking. We extract and analyze data from 93 studies published between 2007-2013 to examine factors that increase success of viral discovery in bats, and specific trends and patterns of infection across host taxa and viral families. Over the study period, 248 novel viruses from 24 viral families have been described. Using generalized linear models, at a study level we show the number of host species and viral families tested best explained number of viruses detected. We demonstrate that prevalence varies significantly across viral family, specimen type, and host taxonomy, and calculate mean PCR prevalence by viral family and specimen type across all studies. Using a logistic model, we additionally identify factors most likely to increase viral detection at an individual level for the entire dataset and by viral families with sufficient sample sizes. Our analysis highlights major taxonomic gaps in recent bat viral discovery efforts and identifies ways to improve future viral pathogen detection through the design of more efficient and targeted sample collection and screening approaches. PMID:26867024

  5. A New Universe of Discoveries

    Science.gov (United States)

    Córdova, France A.

    2016-01-01

    The convergence of emerging advances in astronomical instruments, computational capabilities and talented practitioners (both professional and civilian) is creating an extraordinary new environment for making numerous fundamental discoveries in astronomy, ranging from the nature of exoplanets to understanding the evolution of solar systems and galaxies. The National Science Foundation is playing a critical role in supporting, stimulating, and shaping these advances. NSF is more than an agency of government or a funding mechanism for the infrastructure of science. The work of NSF is a sacred trust that every generation of Americans makes to those of the next generation, that we will build on the body of knowledge we inherit and continue to push forward the frontiers of science. We never lose sight of NSF's obligation to "explore the unexplored" and inspire all of humanity with the wonders of discovery. As the only Federal agency dedicated to the support of basic research and education in all fields of science and engineering, NSF has empowered discoveries across a broad spectrum of scientific inquiry for more than six decades. The result is fundamental scientific research that has had a profound impact on our nation's innovation ecosystem and kept our nation at the very forefront of the world's science-and-engineering enterprise.

  6. The discovery of oligoclonal bands: a 50-year anniversary.

    Science.gov (United States)

    Holmøy, Trygve

    2009-01-01

    The discovery of the oligoclonal IgG bands (OCB) in the cerebrospinal fluid (CSF) was a major step forward in the understanding of multiple sclerosis (MS) and other inflammatory diseases of the central nervous system. Separation of IgG molecules produced by different B cell clones was not possible until agar electrophoresis was invented in 1950. The key observation that led to the discovery of OCB can be dated back to 1959, when Karcher, van Sande and Lowenthal reported that agar electrophoresis subdivided CSF gamma-globulins from a patient with subacute sclerosing panencephalitis into several individual fractions, which were distinguishable with densitometry. OCB were detected in CSF from patients with trypanosomiasis, neurosyphilis and MS by the same research group in 1960. The discovery of OCB was preceded by the detection of intrathecal IgG synthesis with Tiselilus' moving boundary electrophoresis by Kabat in 1942. This method did not allow separation of IgG molecules produced by different B cell clones, and it is therefore a misconception that Kabat discovered the OCB. The discovery of OCB led to the still prevailing concept that MS is mediated by clonally expanded lymphocytes, and provided the basis for modern diagnostic procedures in MS. PMID:19729928

  7. DISCOVERY

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

    新产品 国际家居品牌石家庄勒泰中心店盛大开幕近日,国际时尚家饰家用品牌HOLA特力和乐石家庄首店盛大开幕,正式入驻位于中山路核心商圈的勒泰购物中心。HOLA将以优质精品家居和贴心的服务,

  8. Method and Application of Comprehensive Knowledge Discovery

    Institute of Scientific and Technical Information of China (English)

    SHA Zongyao; BIAN Fuling

    2003-01-01

    This paper proposes the principle of comprehensive knowledge discovery. Unlike most of the current knowledge discovery methods, the comprehensive knowledge discovery considers both the spatial relations and attributes of spatial entities or objects. We introduce the theory of spatial knowledge expression system and some concepts including comprehensive knowledge discovery and spatial union information table(SUIT). In theory, SUIT records all information contained in the studied objects, but in reality, because of the complexity and varieties of spatial relations,only those factors of interest to us are selected. In order to find out the comprehensive knowledge from spatial databases, an efficient comprehensive knowledge discovery algorithm called recycled algorithm (RAR) is suggested.

  9. Guided Discovery with Socratic Questioning

    Directory of Open Access Journals (Sweden)

    M. Hakan TURKCAPAR

    2015-03-01

    Full Text Available “The Socratic method” is a way of teaching philosophical thinking and knowledge by asking questions. It was first used by in ancient times by the Greek philosopher Socrates who taught his followers by asking questions; these conversations between them are known as “Socratic dialogues”. In this methodology, no new knowledge is taught to the individual; rather, the individual is guided to remember and rediscover what was formerly known through this process. The main method used in cognitive therapy is guided discovery. There are various methods of guided discovery in cognitive therapy. The form of verbal exchange between the therapist and client which is used during the process of cognitive behavioral therapy is known as “socratic questioning”. In this method the goal is to make the client rediscover, with a series of questions, a piece of knowledge which he could otherwise know but is not presently conscious of. The Socratic Questioning consists of several steps, including: identifying the problem by listening to the client and making reflections, finding alternatives by examining and evaluating, reidentification by using the newly rediscovered information and questioning the old distorted belief, and reaching a new conclusion and applying it. Question types used during these procedures are: questions for collecting information, questions revealing meanings, questions revealing beliefs, questions about behaviours during similar past experiences, analytic questions and analytic synthesis questions. In order to make the patient feel understood, it is important to be empathetic and summarize the problem during the interview. In this text, steps of Socratic Questioning-Guided Discovery will be reviewed with sample dialogues provided for each step.

  10. Discovery of a Makemakean Moon

    Science.gov (United States)

    Parker, Alex H.; Buie, Marc W.; Grundy, Will M.; Noll, Keith S.

    2016-07-01

    We describe the discovery of a satellite in orbit about the dwarf planet (136472) Makemake. This satellite, provisionally designated S/2015 (136472) 1, was detected in imaging data collected with the Hubble Space Telescope’s Wide Field Camera 3 on UTC 2015 April 27 at 7.80 ± 0.04 mag fainter than Makemake and at a separation of 0.″57. It likely evaded detection in previous satellite searches due to a nearly edge-on orbital configuration, placing it deep within the glare of Makemake during a substantial fraction of its orbital period. This configuration would place Makemake and its satellite near a mutual event season. Insufficient orbital motion was detected to make a detailed characterization of its orbital properties, prohibiting a measurement of the system mass with the discovery data alone. Preliminary analysis indicates that if the orbit is circular, its orbital period must be longer than 12.4 days and must have a semimajor axis ≳21,000 km. We find that the properties of Makemake’s moon suggest that the majority of the dark material detected in the system by thermal observations may not reside on the surface of Makemake, but may instead be attributable to S/2015 (136472) 1 having a uniform dark surface. This “dark moon hypothesis” can be directly tested with future James Webb Space Telescope observations. We discuss the implications of this discovery for the spin state, figure, and thermal properties of Makemake and the apparent ubiquity of trans-Neptunian dwarf planet satellites.

  11. Discovery of Uniformly Expanding Universe

    OpenAIRE

    Cahill R. T.; Rothall D.

    2012-01-01

    Saul Perlmutter and the Brian Schmidt – Adam Riess teams reported that their Friedmann-model GR-based analysis of their supernovae magnitude-redshift data re- vealed a new phenomenon of “dark energy” which, it is claimed, forms 73% of the energy / matter density of the present-epoch universe, and which is linked to the further claim of an accelerating expansion of the universe. In 2011 Perlmutter, Schmidt and Riess received the Nobel Prize in Physics “for the discovery of...

  12. Discovery of Interstellar Heavy Water

    OpenAIRE

    Butner, H. M.; Charnley, S. B.; Ceccarelli, C.; Rodgers, S.D.; Pardo Carrión, Juan Ramón; Parise, B.; Cernicharo, José; Davis, G. R.

    2007-01-01

    We report the discovery of doubly deuterated water (D2O, heavy water) in the interstellar medium. Using the James Clerk Maxwell Telescope and the Caltech Submillimeter Observatory 10 m telescope, we detected the 1_10–1_01 transition of para-D2O at 316.7998 GHz in both absorption and emission toward the protostellar binary system IRAS 16293-2422. Assuming that the D2O exists primarily in the warm regions where water ices have been evaporated (i.e., in a "hot corino" environment), we determi...

  13. Tools for GPCR drug discovery

    Institute of Scientific and Technical Information of China (English)

    Ru ZHANG; Xin XIE

    2012-01-01

    G-protein-coupled receptors (GPCRs) mediate many important physiological functions and are considered as one of the most successful therapeutic targets for a broad spectrum of diseases.The design and implementation of high-throughput GPCR assays that allow the cost-effective screening of large compound libraries to identify novel drug candidates are critical in early drug discovery.Early functional GPCR assays depend primarily on the measurement of G-protein-mediated 2nd messenger generation.Taking advantage of the continuously deepening understanding of GPCR signal transduction,many G-protein-independent pathways are utilized to detect the activity of GPCRs,and may provide additional information on functional selectivity of candidate compounds.With the combination of automated imaging systems and label-free detection systems,such assays are now suitable for high-throughput screening (HTS).In this review,we summarize the most widely used GPCR assays and recent advances in HTS technologies for GPCR drug discovery.

  14. Knowledge discovery by accuracy maximization.

    Science.gov (United States)

    Cacciatore, Stefano; Luchinat, Claudio; Tenori, Leonardo

    2014-04-01

    Here we describe KODAMA (knowledge discovery by accuracy maximization), an unsupervised and semisupervised learning algorithm that performs feature extraction from noisy and high-dimensional data. Unlike other data mining methods, the peculiarity of KODAMA is that it is driven by an integrated procedure of cross-validation of the results. The discovery of a local manifold's topology is led by a classifier through a Monte Carlo procedure of maximization of cross-validated predictive accuracy. Briefly, our approach differs from previous methods in that it has an integrated procedure of validation of the results. In this way, the method ensures the highest robustness of the obtained solution. This robustness is demonstrated on experimental datasets of gene expression and metabolomics, where KODAMA compares favorably with other existing feature extraction methods. KODAMA is then applied to an astronomical dataset, revealing unexpected features. Interesting and not easily predictable features are also found in the analysis of the State of the Union speeches by American presidents: KODAMA reveals an abrupt linguistic transition sharply separating all post-Reagan from all pre-Reagan speeches. The transition occurs during Reagan's presidency and not from its beginning.

  15. Medical knowledge discovery and management.

    Science.gov (United States)

    Prior, Fred

    2009-05-01

    Although the volume of medical information is growing rapidly, the ability to rapidly convert this data into "actionable insights" and new medical knowledge is lagging far behind. The first step in the knowledge discovery process is data management and integration, which logically can be accomplished through the application of data warehouse technologies. A key insight that arises from efforts in biosurveillance and the global scope of military medicine is that information must be integrated over both time (longitudinal health records) and space (spatial localization of health-related events). Once data are compiled and integrated it is essential to encode the semantics and relationships among data elements through the use of ontologies and semantic web technologies to convert data into knowledge. Medical images form a special class of health-related information. Traditionally knowledge has been extracted from images by human observation and encoded via controlled terminologies. This approach is rapidly being replaced by quantitative analyses that more reliably support knowledge extraction. The goals of knowledge discovery are the improvement of both the timeliness and accuracy of medical decision making and the identification of new procedures and therapies.

  16. Discovery of a Makemakean Moon

    CERN Document Server

    Parker, Alex H; Grundy, Will M; Noll, Keith S

    2016-01-01

    We describe the discovery of a satellite in orbit about the dwarf planet (136472) Makemake. This satellite, provisionally designated S/2015 (136472) 1, was detected in imaging data collected with the Hubble Space Telescope's Wide Field Camera 3 on UTC April 27, 2015 at 7.80$\\pm$0.04 magnitudes fainter than Makemake. It likely evaded detection in previous satellite searches due to a nearly edge-on orbital configuration, placing it deep within the glare of Makemake during a substantial fraction of its orbital period. This configuration would place Makemake and its satellite near a mutual event season. Insufficient orbital motion was detected to make a detailed characterization of its orbital properties, prohibiting a measurement of the system mass with the discovery data alone. Preliminary analysis indicates that if the orbit is circular, its orbital period must be longer than 12.4 days, and must have a semi-major axis $\\gtrsim$21,000 km. We find that the properties of Makemake's moon suggest that the majority ...

  17. Price Discovery in the Chinese Gold Market

    OpenAIRE

    Jin, Muzhao; Li, Youwei; Wang, Jianxin; Yang, Yung Chiang

    2016-01-01

    This study conducts price discovery analysis in the Chinese gold market. Our result indicates that the price discovery in Chinese gold market occurs predominantly in the futures market. The result is robust to the different measures of price discovery, namely information share, component share, and information leadership share. Partitioning the daily trades into three trading sessions, we find that the dominance of the futures market occurs in all trading sessions. We further investigate the ...

  18. MODIS: an audio motif discovery software

    OpenAIRE

    Catanese, Laurence; Souviraà-Labastie, Nathan; Qu, Bingqing; Campion, Sébastien; Gravier, Guillaume; Vincent, Emmanuel; Bimbot, Frédéric

    2013-01-01

    International audience MODIS is a free speech and audio motif discovery software developed at IRISA Rennes. Motif discovery is the task of discovering and collecting occurrences of repeating patterns in the absence of prior knowledge, or training material. MODIS is based on a generic approach to mine repeating audio sequences, with tolerance to motif variability. The algorithm implementation allows to process large audio streams at a reasonable speed where motif discovery often requires hu...

  19. Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview.

    Science.gov (United States)

    Guedes, Romina A; Serra, Patrícia; Salvador, Jorge A R; Guedes, Rita C

    2016-01-01

    Proteasome emerged as an important target in recent pharmacological research due to its pivotal role in degrading proteins in the cytoplasm and nucleus of eukaryotic cells, regulating a wide variety of cellular pathways, including cell growth and proliferation, apoptosis, DNA repair, transcription, immune response, and signaling processes. The last two decades witnessed intensive efforts to discover 20S proteasome inhibitors with significant chemical diversity and efficacy. To date, the US FDA approved to market three proteasome inhibitors: bortezomib, carfilzomib, and ixazomib. However new, safer and more efficient drugs are still required. Computer-aided drug discovery has long being used in drug discovery campaigns targeting the human proteasome. The aim of this review is to illustrate selected in silico methods like homology modeling, molecular docking, pharmacophore modeling, virtual screening, and combined methods that have been used in proteasome inhibitors discovery. Applications of these methods to proteasome inhibitors discovery will also be presented and discussed to raise improvements in this particular field. PMID:27438821

  20. Discovery of GSK2656157: An Optimized PERK Inhibitor Selected for Preclinical Development.

    Science.gov (United States)

    Axten, Jeffrey M; Romeril, Stuart P; Shu, Arthur; Ralph, Jeffrey; Medina, Jesús R; Feng, Yanhong; Li, William Hoi Hong; Grant, Seth W; Heerding, Dirk A; Minthorn, Elisabeth; Mencken, Thomas; Gaul, Nathan; Goetz, Aaron; Stanley, Thomas; Hassell, Annie M; Gampe, Robert T; Atkins, Charity; Kumar, Rakesh

    2013-10-10

    We recently reported the discovery of GSK2606414 (1), a selective first in class inhibitor of protein kinase R (PKR)-like endoplasmic reticulum kinase (PERK), which inhibited PERK activation in cells and demonstrated tumor growth inhibition in a human tumor xenograft in mice. In continuation of our drug discovery program, we applied a strategy to decrease inhibitor lipophilicity as a means to improve physical properties and pharmacokinetics. This report describes our medicinal chemistry optimization culminating in the discovery of the PERK inhibitor GSK2656157 (6), which was selected for advancement to preclinical development. PMID:24900593

  1. Automation of a phospho-STAT5 staining procedure for flow cytometry for application in drug discovery

    NARCIS (Netherlands)

    Malergue, Fabrice; van Agthoven, Andreas; Scifo, Caroline; Egan, Dave; Strous, Ger J

    2015-01-01

    Drug discovery often requires the screening of compound libraries on tissue cultured cells. Some major targets in drug discovery belong to signal transduction pathways, and PerFix EXPOSE* allows easy flow cytometry phospho assays. We thus investigated the possibility to further simplify and automate

  2. Automating Spreadsheet Discovery & Risk Assessment

    CERN Document Server

    Perry, Eric

    2008-01-01

    There have been many articles and mishaps published about the risks of uncontrolled spreadsheets in today's business environment, including non-compliance, operational risk, errors, and fraud all leading to significant loss events. Spreadsheets fall into the realm of end user developed applications and are often absent the proper safeguards and controls an IT organization would enforce for enterprise applications. There is also an overall lack of software programming discipline enforced in how spreadsheets are developed. However, before an organization can apply proper controls and discipline to critical spreadsheets, an accurate and living inventory of spreadsheets across the enterprise must be created, and all critical spreadsheets must be identified. As such, this paper proposes an automated approach to the initial stages of the spreadsheet management lifecycle - discovery, inventory and risk assessment. Without the use of technology, these phases are often treated as a one-off project. By leveraging techn...

  3. Drug discovery from marine microbes.

    Science.gov (United States)

    Gerwick, William H; Fenner, Amanda M

    2013-05-01

    The marine environment has been a source of more than 20,000 inspirational natural products discovered over the past 50 years. From these efforts, 9 approved drugs and 12 current clinical trial agents have been discovered, either as natural products or as molecules inspired from the natural product structure. To a significant degree, these have come from collections of marine invertebrates largely obtained from shallow-water tropical ecosystems. However, there is a growing recognition that marine invertebrates are oftentimes populated with enormous quantities of "associated" or symbiotic microorganisms and that microorganisms are the true metabolic sources of these most valuable of marine natural products. Also, because of the inherently multidisciplinary nature of this field, a high degree of innovation is characteristic of marine natural product drug discovery efforts.

  4. Precision multidimensional assay for high-throughput microRNA drug discovery

    OpenAIRE

    Haefliger, Benjamin; Prochazka, Laura; Angelici, Bartolomeo; Benenson, Yaakov

    2016-01-01

    Development of drug discovery assays that combine high content with throughput is challenging. Information-processing gene networks can address this challenge by integrating multiple potential targets of drug candidates' activities into a small number of informative readouts, reporting simultaneously on specific and non-specific effects. Here we show a family of networks implementing this concept in a cell-based drug discovery assay for miRNA drug targets. The networks comprise multiple modul...

  5. A Tale of Two Discoveries: Comparing the Usability of Summon and EBSCO Discovery Service

    Science.gov (United States)

    Foster, Anita K.; MacDonald, Jean B.

    2013-01-01

    Web-scale discovery systems are gaining momentum among academic libraries as libraries seek a means to provide their users with a one-stop searching experience. Illinois State University's Milner Library found itself in the unique position of having access to two distinct discovery products, EBSCO Discovery Service and Serials Solutions' Summon.…

  6. Intraday Price Discovery in Fragmented Markets

    NARCIS (Netherlands)

    S.R. Ozturk (Sait); M. van der Wel (Michel); D.J.C. van Dijk (Dick)

    2014-01-01

    textabstractFor many assets, trading is fragmented across multiple exchanges. Price discovery measures summarize the informativeness of trading on each venue for discovering the asset’s true underlying value. We explore intraday variation in price discovery using a structural model with time-varying

  7. 2015 Update of the Discoveries of Isotopes

    CERN Document Server

    Thoennessen, M

    2016-01-01

    The 2015 update of the discovery of nuclide project is presented. Twenty new nuclides were observed for the first time in 2015. An overall review of all previous assignments was made in order to apply the discovery criteria consistently to all elements. In addition, a list of isotopes published so far only in conference proceedings or internal reports is included.

  8. Service discovery in heterogeneous wireless networks

    NARCIS (Netherlands)

    Blangé, M.J.; Karkowski, I.P.; Vermeulen, B.C.B.

    2005-01-01

    In this paper we describe a possible solution to the problem of service discovery in heterogeneous wireless networks. This solution involves introduction of a network independent service discovery layer, with as main goal the improved robustness of applications running on top of it. A possible imple

  9. Scaling Bayesian network discovery through incremental recovery

    NARCIS (Netherlands)

    Castelo, J.R.; Siebes, A.P.J.M.

    1999-01-01

    Bayesian networks are a type of graphical models that, e.g., allow one to analyze the interaction among the variables in a database. A well-known problem with the discovery of such models from a database is the ``problem of high-dimensionality''. That is, the discovery of a network from a database w

  10. DISCOVERY OF EVIDENCE IN INTERNATIONAL COMMERCIAL ARBITRATION

    Directory of Open Access Journals (Sweden)

    Bakumenko, V.V.

    2016-07-01

    Full Text Available The article considers the different concepts of discovery of evidence, which exist under different legal jurisdictions, with their theoretical analysis to determine the feasibility and rationality of the application of the discovery mechanisms in the frameworks of international commercial arbitration and its fundamental principles.

  11. In silico discoveries for biomedical sciences

    NARCIS (Netherlands)

    Haagen, Herman van

    2011-01-01

    Text-mining is a challenging field of research initially meant for reading large text collections with a computer. Text-mining is useful in summarizing text, searching for the informative documents, and most important to do knowledge discovery. Knowledge discovery is the main subject of this thesis.

  12. 49 CFR 1121.2 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... procedures set forth at 49 CFR part 1114, subpart B. Discovery may begin upon the filing of the petition for exemption or petition for revocation of an exemption. In petitions to revoke an exemption, a party must... requests at the same time it files its petition to revoke. Discovery shall be completed 30 days after...

  13. Effective Online Group Discovery in Trajectory Databases

    DEFF Research Database (Denmark)

    Li, Xiaohui; Ceikute, Vaida; Jensen, Christian S.;

    2013-01-01

    GPS-enabled devices are pervasive nowadays. Finding movement patterns in trajectory data stream is gaining in importance. We propose a group discovery framework that aims to efficiently support the online discovery of moving objects that travel together. The framework adopts a sampling...

  14. A Discovery Chemistry Experiment on Buffers

    Science.gov (United States)

    Kulevich, Suzanne E.; Herrick, Richard S.; Mills, Kenneth V.

    2014-01-01

    The Holy Cross Chemistry Department has designed and implemented an experiment on buffers as part of our Discovery Chemistry curriculum. The pedagogical philosophy of Discovery Chemistry is to make the laboratory the focal point of learning for students in their first two years of undergraduate instruction. We first pose questions in prelaboratory…

  15. 42 CFR 430.86 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 4 2010-10-01 2010-10-01 false Discovery. 430.86 Section 430.86 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL... objection to discovery action initiated under this section. The presiding officer also has the power...

  16. Proteomics: a new approach for drug discovery

    Institute of Scientific and Technical Information of China (English)

    Xue-junLI; YangXIANG; Hui-kaiTIAN; BingMA; Xiao-haoYAO; Hong-meiZHANG; He-mingYU

    2004-01-01

    Proteomics is a bridge that crosses genome to drug discovery. Proteomic studies will provide possible targets for therapeutic usage and moreover increase the efficiency of the downstream of drug discovery process. By using the 2-D electrophoresis combining with MS technology, which is most preva-lent techniques of proteome, we have identified more than 20

  17. Discovery of inhibitors of bacterial histidine kinases

    NARCIS (Netherlands)

    Velikova, N.R.

    2014-01-01

    Discovery of Inhibitors of Bacterial Histidine Kinases

    Summary

    The thesis is on novel antibacterial drug discovery (http://youtu.be/NRMWOGgeysM). Using structure-based and fragment-based dru

  18. 49 CFR 1503.633 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... Rules of Practice in TSA Civil Penalty Actions § 1503.633 Discovery. (a) Initiation of discovery. Any..., TSA may provide SSI to the party when, in the sole discretion of TSA, access to the SSI is necessary for the party to prepare a response to allegations contained the complaint. TSA may provide...

  19. Accounting for discovery bias in genomic prediction

    Science.gov (United States)

    Our objective was to evaluate an approach to mitigating discovery bias in genomic prediction. Accuracy may be improved by placing greater emphasis on regions of the genome expected to be more influential on a trait. Methods emphasizing regions result in a phenomenon known as “discovery bias” if info...

  20. 12 CFR 1780.26 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... Constitution, any applicable act of Congress, or the principles of common law. (e) Time limits. All discovery... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Discovery. 1780.26 Section 1780.26 Banks and... OF PRACTICE AND PROCEDURE RULES OF PRACTICE AND PROCEDURE Prehearing Proceedings § 1780.26...

  1. Sampling: Making Electronic Discovery More Cost Effective

    Directory of Open Access Journals (Sweden)

    Milton Luoma

    2011-06-01

    Full Text Available With the huge volumes of electronic data subject to discovery in virtually every instance of litigation, time and costs of conducting discovery have become exceedingly important when litigants plan their discovery strategies.  Rather than incurring the costs of having lawyers review every document produced in response to a discovery request in search of relevant evidence, a cost effective strategy for document review planning is to use statistical sampling of the database of documents to determine the likelihood of finding relevant evidence by reviewing additional documents.  This paper reviews and discusses how sampling can be used to make document review more cost effective by considering issues such as an appropriate sample size, how to develop a sampling strategy, and taking into account the potential value of the litigation in relation to the costs of additional discovery efforts. 

  2. Can biochemistry drive drug discovery beyond simple potency measurements?

    Science.gov (United States)

    Chène, Patrick

    2012-04-01

    Among the fields of expertise required to develop drugs successfully, biochemistry holds a key position in drug discovery at the interface between chemistry, structural biology and cell biology. However, taking the example of protein kinases, it appears that biochemical assays are mostly used in the pharmaceutical industry to measure compound potency and/or selectivity. This limited use of biochemistry is surprising, given that detailed biochemical analyses are commonly used in academia to unravel molecular recognition processes. In this article, I show that biochemistry can provide invaluable information on the dynamics and energetics of compound-target interactions that cannot be obtained on the basis of potency measurements and structural data. Therefore, an extensive use of biochemistry in drug discovery could facilitate the identification and/or development of new drugs.

  3. High throughput electrophysiology: new perspectives for ion channel drug discovery

    DEFF Research Database (Denmark)

    Willumsen, Niels J; Bech, Morten; Olesen, Søren-Peter;

    2003-01-01

    Proper function of ion channels is crucial for all living cells. Ion channel dysfunction may lead to a number of diseases, so-called channelopathies, and a number of common diseases, including epilepsy, arrhythmia, and type II diabetes, are primarily treated by drugs that modulate ion channels. A...... introduction of new powerful HTS electrophysiological techniques is predicted to cause a revolution in ion channel drug discovery....... cornerstone in current drug discovery is high throughput screening assays which allow examination of the activity of specific ion channels though only to a limited extent. Conventional patch clamp remains the sole technique with sufficiently high time resolution and sensitivity required for precise and direct...... characterization of ion channel properties. However, patch clamp is a slow, labor-intensive, and thus expensive, technique. New techniques combining the reliability and high information content of patch clamping with the virtues of high throughput philosophy are emerging and predicted to make a number of ion...

  4. Assessment of composite motif discovery methods

    Directory of Open Access Journals (Sweden)

    Johansen Jostein

    2008-02-01

    Full Text Available Abstract Background Computational discovery of regulatory elements is an important area of bioinformatics research and more than a hundred motif discovery methods have been published. Traditionally, most of these methods have addressed the problem of single motif discovery – discovering binding motifs for individual transcription factors. In higher organisms, however, transcription factors usually act in combination with nearby bound factors to induce specific regulatory behaviours. Hence, recent focus has shifted from single motifs to the discovery of sets of motifs bound by multiple cooperating transcription factors, so called composite motifs or cis-regulatory modules. Given the large number and diversity of methods available, independent assessment of methods becomes important. Although there have been several benchmark studies of single motif discovery, no similar studies have previously been conducted concerning composite motif discovery. Results We have developed a benchmarking framework for composite motif discovery and used it to evaluate the performance of eight published module discovery tools. Benchmark datasets were constructed based on real genomic sequences containing experimentally verified regulatory modules, and the module discovery programs were asked to predict both the locations of these modules and to specify the single motifs involved. To aid the programs in their search, we provided position weight matrices corresponding to the binding motifs of the transcription factors involved. In addition, selections of decoy matrices were mixed with the genuine matrices on one dataset to test the response of programs to varying levels of noise. Conclusion Although some of the methods tested tended to score somewhat better than others overall, there were still large variations between individual datasets and no single method performed consistently better than the rest in all situations. The variation in performance on individual

  5. Targeting autophagic pathways for cancer drug discovery

    Institute of Scientific and Technical Information of China (English)

    Bo Liu; Jin-Ku Bao; Jin-Ming Yang; Yan Cheng

    2013-01-01

    Autophagy,an evolutionarily conserved lysosomal degradation process,has drawn an increasing amount of attention in recent years for its role in a variety of human diseases,such as cancer.Notably,autophagy plays an important role in regulating several survival and death signaling pathways that determine cell fate in cancer.To date,substantial evidence has demonstrated that some key autophagic mediators,such as autophagy-related genes (ATGs),PI3K,mTOR,p53,and Beclin-1,may play crucial roles in modulating autophagic activity in cancer initiation and progression.Because autophagy-modulating agents such as rapamycin and chloroquine have already been used clinically to treat cancer,it is conceivable that targeting autophagic pathways may provide a new opportunity for discovery and development of more novel cancer therapeutics.With a deeper understanding of the regulatory mechanisms governing autophagy,we will have a better opportunity to facilitate the exploitation of autophagy as a target for therapeutic intervention in cancer.This review discusses the current status of targeting autophagic pathways as a potential cancer therapy.

  6. Accelerators for Discovery Science and Security applications

    International Nuclear Information System (INIS)

    Several Advanced Energy Systems (AES) accelerator projects that span applications in Discovery Science and Security are described. The design and performance of the IR and THz free electron laser (FEL) at the Fritz-Haber-Institut der Max-Planck-Gesellschaft in Berlin that is now an operating user facility for physical chemistry research in molecular and cluster spectroscopy as well as surface science, is highlighted. The device was designed to meet challenging specifications, including a final energy adjustable in the range of 15–50 MeV, low longitudinal emittance (<50 keV-psec) and transverse emittance (<20 π mm-mrad), at more than 200 pC bunch charge with a micropulse repetition rate of 1 GHz and a macropulse length of up to 15 μs. Secondly, we will describe an ongoing effort to develop an ultrafast electron diffraction (UED) source that is scheduled for completion in 2015 with prototype testing taking place at the Brookhaven National Laboratory (BNL) Accelerator Test Facility (ATF). This tabletop X-band system will find application in time-resolved chemical imaging and as a resource for drug–cell interaction analysis. A third active area at AES is accelerators for security applications where we will cover some top-level aspects of THz and X-ray systems that are under development and in testing for stand-off and portal detection

  7. Accelerators for Discovery Science and Security applications

    Energy Technology Data Exchange (ETDEWEB)

    Todd, A.M.M., E-mail: alan_todd@mail.aesys.net; Bluem, H.P.; Jarvis, J.D.; Park, J.H.; Rathke, J.W.; Schultheiss, T.J.

    2015-05-01

    Several Advanced Energy Systems (AES) accelerator projects that span applications in Discovery Science and Security are described. The design and performance of the IR and THz free electron laser (FEL) at the Fritz-Haber-Institut der Max-Planck-Gesellschaft in Berlin that is now an operating user facility for physical chemistry research in molecular and cluster spectroscopy as well as surface science, is highlighted. The device was designed to meet challenging specifications, including a final energy adjustable in the range of 15–50 MeV, low longitudinal emittance (<50 keV-psec) and transverse emittance (<20 π mm-mrad), at more than 200 pC bunch charge with a micropulse repetition rate of 1 GHz and a macropulse length of up to 15 μs. Secondly, we will describe an ongoing effort to develop an ultrafast electron diffraction (UED) source that is scheduled for completion in 2015 with prototype testing taking place at the Brookhaven National Laboratory (BNL) Accelerator Test Facility (ATF). This tabletop X-band system will find application in time-resolved chemical imaging and as a resource for drug–cell interaction analysis. A third active area at AES is accelerators for security applications where we will cover some top-level aspects of THz and X-ray systems that are under development and in testing for stand-off and portal detection.

  8. Swift: 10 Years of Discovery

    Science.gov (United States)

    The conference Swift: 10 years of discovery was held in Roma at La Sapienza University on Dec. 2-5 2014 to celebrate 10 years of Swift successes. Thanks to a large attendance and a lively program, it provided the opportunity to review recent advances of our knowledge of the high-energy transient Universe both from the observational and theoretical sides. When Swift was launched on November 20, 2004, its prime objective was to chase Gamma-Ray Bursts and deepen our knowledge of these cosmic explosions. And so it did, unveiling the secrets of long and short GRBs. However, its multi-wavelength instrumentation and fast scheduling capabilities made it the most versatile mission ever flown. Besides GRBs, Swift has observed, and contributed to our understanding of, an impressive variety of targets including AGNs, supernovae, pulsars, microquasars, novae, variable stars, comets, and much more. Swift is continuously discovering rare and surprising events distributed over a wide range of redshifts, out to the most distant transient objects in the Universe. Such a trove of discoveries has been addressed during the conference with sessions dedicated to each class of events. Indeed, the conference in Rome was a spectacular celebration of the Swift 10th anniversary. It included sessions on all types of transient and steady sources. Top scientists from around the world gave invited and contributed talks. There was a large poster session, sumptuous lunches, news interviews and a glorious banquet with officials attending from INAF and ASI. All the presentations, as well as several conference pictures, can be found in the conference website (http://www.brera.inaf.it/Swift10/Welcome.html). These proceedings have been collected owing to the efforts of Paolo D’Avanzo who has followed each paper from submission to final acceptance. Our warmest thanks to Paolo for all his work. The Conference has been made possible by the support from La Sapienza University as well as from the ARAP

  9. Knowledge Discovery from Vibration Measurements

    Directory of Open Access Journals (Sweden)

    Jun Deng

    2014-01-01

    Full Text Available The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM. However, as a part of the overall process of knowledge discovery from data bases (KDD, the results of pattern recognition are only changes and patterns of changes of data features. In this paper, based on the similarity between KDD and SHM and considering the particularity of SHM problems, a four-step framework of SHM is proposed which extends the final goal of SHM from detecting damages to extracting knowledge to facilitate decision making. The purposes and proper methods of each step of this framework are discussed. To demonstrate the proposed SHM framework, a specific SHM method which is composed by the second order structural parameter identification, statistical control chart analysis, and system reliability analysis is then presented. To examine the performance of this SHM method, real sensor data measured from a lab size steel bridge model structure are used. The developed four-step framework of SHM has the potential to clarify the process of SHM to facilitate the further development of SHM techniques.

  10. Mathematical models in biological discovery

    CERN Document Server

    Walter, Charles

    1977-01-01

    When I was asked to help organize an American Association for the Advancement of Science symposium about how mathematical models have con­ tributed to biology, I agreed immediately. The subject is of immense importance and wide-spread interest. However, too often it is discussed in biologically sterile environments by "mutual admiration society" groups of "theoreticians", many of whom have never seen, and most of whom have never done, an original scientific experiment with the biolog­ ical materials they attempt to describe in abstract (and often prejudiced) terms. The opportunity to address the topic during an annual meeting of the AAAS was irresistable. In order to try to maintain the integrity ;,f the original intent of the symposium, it was entitled, "Contributions of Mathematical Models to Biological Discovery". This symposium was organized by Daniel Solomon and myself, held during the 141st annual meeting of the AAAS in New York during January, 1975, sponsored by sections G and N (Biological and Medic...

  11. The Discovery of Dabigatran Etexilate

    Directory of Open Access Journals (Sweden)

    Joanne evan Ryn

    2013-02-01

    Full Text Available Thromboembolic disease is a major cause of mortality and morbidity in the developed world and is caused by an excessive stimulation of coagulation. Thrombin is a key serine protease in the coagulation cascade and numerous efforts have been made to develop safe and effective orally active direct thrombin inhibitors (DTIs. Current anticoagulant therapy includes the use of indirect thrombin inhibitors (e.g. heparins, low-molecular-weight-heparins [LMWHs] and vitamin K antagonists (VKA such as warfarin. However there are several caveats in the clinical use of these agents including narrow therapeutic window, parenteral delivery, and food- and drug-drug interactions. Dabigatran is a synthetic, reversible DTI with high affinity and specificity for its target binding both free and clot-bound thrombin, and offers a favorable pharmacokinetic profile. Large randomized clinical trials have demonstrated that dabigatran provides comparable or superior thromboprophylaxis in multiple thromboembolic disease indications compared to standard of care. This minireview will highlight the discovery and development of dabigatran, the first in a class of new oral anticoagulant (NOAC agents to be licensed worldwide for the prevention of thromboembolism in the setting of orthopedic surgery and stroke prevent in atrial fibrillation.

  12. Discovery of Uniformly Expanding Universe

    Directory of Open Access Journals (Sweden)

    Cahill R. T.

    2012-01-01

    Full Text Available Saul Perlmutter and the Brian Schmidt – Adam Riess teams reported that their Friedmann-model GR-based analysis of their supernovae magnitude-redshift data re- vealed a new phenomenon of “dark energy” which, it is claimed, forms 73% of the energy / matter density of the present-epoch universe, and which is linked to the further claim of an accelerating expansion of the universe. In 2011 Perlmutter, Schmidt and Riess received the Nobel Prize in Physics “for the discovery of the accelerating ex- pansion of the Universe through observations of distant supernovae”. Here it is shown that (i a generic model-independent analysis of this data reveals a uniformly expanding universe, (ii their analysis actually used Newtonian gravity, and finally (iii the data, as well as the CMB fluctuation data, does not require “dark energy” nor “dark matter”, but instead reveals the phenomenon of a dynamical space, which is absent from the Friedmann model.

  13. Knowledge discovery from vibration measurements.

    Science.gov (United States)

    Deng, Jun; Li, Jian; Wang, Daoyao

    2014-01-01

    The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). However, as a part of the overall process of knowledge discovery from data bases (KDD), the results of pattern recognition are only changes and patterns of changes of data features. In this paper, based on the similarity between KDD and SHM and considering the particularity of SHM problems, a four-step framework of SHM is proposed which extends the final goal of SHM from detecting damages to extracting knowledge to facilitate decision making. The purposes and proper methods of each step of this framework are discussed. To demonstrate the proposed SHM framework, a specific SHM method which is composed by the second order structural parameter identification, statistical control chart analysis, and system reliability analysis is then presented. To examine the performance of this SHM method, real sensor data measured from a lab size steel bridge model structure are used. The developed four-step framework of SHM has the potential to clarify the process of SHM to facilitate the further development of SHM techniques.

  14. Genetic algorithms for route discovery.

    Science.gov (United States)

    Gelenbe, Erol; Liu, Peixiang; Lainé, Jeremy

    2006-12-01

    Packet routing in networks requires knowledge about available paths, which can be either acquired dynamically while the traffic is being forwarded, or statically (in advance) based on prior information of a network's topology. This paper describes an experimental investigation of path discovery using genetic algorithms (GAs). We start with the quality-of-service (QoS)-driven routing protocol called "cognitive packet network" (CPN), which uses smart packets (SPs) to dynamically select routes in a distributed autonomic manner based on a user's QoS requirements. We extend it by introducing a GA at the source routers, which modifies and filters the paths discovered by the CPN. The GA can combine the paths that were previously discovered to create new untested but valid source-to-destination paths, which are then selected on the basis of their "fitness." We present an implementation of this approach, where the GA runs in background mode so as not to overload the ingress routers. Measurements conducted on a network test bed indicate that when the background-traffic load of the network is light to medium, the GA can result in improved QoS. When the background-traffic load is high, it appears that the use of the GA may be detrimental to the QoS experienced by users as compared to CPN routing because the GA uses less timely state information in its decision making. PMID:17186801

  15. West Nile Virus Drug Discovery

    Directory of Open Access Journals (Sweden)

    Siew Pheng Lim

    2013-12-01

    Full Text Available The outbreak of West Nile virus (WNV in 1999 in the USA, and its continued spread throughout the Americas, parts of Europe, the Middle East and Africa, underscored the need for WNV antiviral development. Here, we review the current status of WNV drug discovery. A number of approaches have been used to search for inhibitors of WNV, including viral infection-based screening, enzyme-based screening, structure-based virtual screening, structure-based rationale design, and antibody-based therapy. These efforts have yielded inhibitors of viral or cellular factors that are critical for viral replication. For small molecule inhibitors, no promising preclinical candidate has been developed; most of the inhibitors could not even be advanced to the stage of hit-to-lead optimization due to their poor drug-like properties. However, several inhibitors developed for related members of the family Flaviviridae, such as dengue virus and hepatitis C virus, exhibited cross-inhibition of WNV, suggesting the possibility to re-purpose these antivirals for WNV treatment. Most promisingly, therapeutic antibodies have shown excellent efficacy in mouse model; one of such antibodies has been advanced into clinical trial. The knowledge accumulated during the past fifteen years has provided better rationale for the ongoing WNV and other flavivirus antiviral development.

  16. Genetic algorithms for route discovery.

    Science.gov (United States)

    Gelenbe, Erol; Liu, Peixiang; Lainé, Jeremy

    2006-12-01

    Packet routing in networks requires knowledge about available paths, which can be either acquired dynamically while the traffic is being forwarded, or statically (in advance) based on prior information of a network's topology. This paper describes an experimental investigation of path discovery using genetic algorithms (GAs). We start with the quality-of-service (QoS)-driven routing protocol called "cognitive packet network" (CPN), which uses smart packets (SPs) to dynamically select routes in a distributed autonomic manner based on a user's QoS requirements. We extend it by introducing a GA at the source routers, which modifies and filters the paths discovered by the CPN. The GA can combine the paths that were previously discovered to create new untested but valid source-to-destination paths, which are then selected on the basis of their "fitness." We present an implementation of this approach, where the GA runs in background mode so as not to overload the ingress routers. Measurements conducted on a network test bed indicate that when the background-traffic load of the network is light to medium, the GA can result in improved QoS. When the background-traffic load is high, it appears that the use of the GA may be detrimental to the QoS experienced by users as compared to CPN routing because the GA uses less timely state information in its decision making.

  17. Discovery Mondays: Zoom on materials

    CERN Multimedia

    2003-01-01

    Following the success of the first Discovery Monday, which had over 100 visitors, the series of evening events in Microcosm continues. On Monday 2nd June, discover the world of materials. Find out how CERN scientists examine, manufacture and study different materials, at different scales. Did you know for example that using electrons you can observe a hair at a scale equivalent to looking at a boat with the naked eye? Also, that using ultrasound, you can measure the thickness of an object that is completely inaccessible? Find out more about these techniques, and also the high-tech machining and soldering that is carried out in CERN's central workshop. Plus, see how engineers can detect tiny leaks through solder points - essential for maintaining the vacuum in the LHC. The evening is open to all, without reservation, suggested age 12 and above. Rendez-vous in Microcosm on Monday 2nd June From 19.30 - 21.00 Free entry For more information : http://www.cern.ch/microcosm Using a scanning microscope, the head o...

  18. Students Excited by Stellar Discovery

    Science.gov (United States)

    2011-02-01

    In the constellation of Ophiuchus, above the disk of our Milky Way Galaxy, there lurks a stellar corpse spinning 30 times per second -- an exotic star known as a radio pulsar. This object was unknown until it was discovered last week by three high school students. These students are part of the Pulsar Search Collaboratory (PSC) project, run by the National Radio Astronomy Observatory (NRAO) in Green Bank, WV, and West Virginia University (WVU). The pulsar, which may be a rare kind of neutron star called a recycled pulsar, was discovered independently by Virginia students Alexander Snider and Casey Thompson, on January 20, and a day later by Kentucky student Hannah Mabry. "Every day, I told myself, 'I have to find a pulsar. I better find a pulsar before this class ends,'" said Mabry. When she actually made the discovery, she could barely contain her excitement. "I started screaming and jumping up and down." Thompson was similarly expressive. "After three years of searching, I hadn't found a single thing," he said, "but when I did, I threw my hands up in the air and said, 'Yes!'." Snider said, "It actually feels really neat to be the first person to ever see something like that. It's an uplifting feeling." As part of the PSC, the students analyze real data from NRAO's Robert C. Byrd Green Bank Telescope (GBT) to find pulsars. The students' teachers -- Debra Edwards of Sherando High School, Leah Lorton of James River High School, and Jennifer Carter of Rowan County Senior High School -- all introduced the PSC in their classes, and interested students formed teams to continue the work. Even before the discovery, Mabry simply enjoyed the search. "It just feels like you're actually doing something," she said. "It's a good feeling." Once the pulsar candidate was reported to NRAO, Project Director Rachel Rosen took a look and agreed with the young scientists. A followup observing session was scheduled on the GBT. Snider and Mabry traveled to West Virginia to assist in the

  19. 16 CFR 1025.36 - Motions to compel discovery.

    Science.gov (United States)

    2010-01-01

    ... ADJUDICATIVE PROCEEDINGS Discovery, Compulsory Process § 1025.36 Motions to compel discovery. If a party fails... examination to the extent possible with respect to other areas of inquiry before moving to compel discovery....

  20. Investigations into Library Web-Scale Discovery Services

    OpenAIRE

    Vaughan, Jason

    2008-01-01

    Web-scale discovery services for libraries provide deep discovery to a library’s local and licensed content, and represent an evolution, perhaps a revolution, for end user information discovery as pertains to library collections.  This article frames the topic of web-scale discovery, and begins by illuminating web-scale discovery from an academic library’s perspective – that is, the internal perspective seeking widespread staff participation in the discovery conversation.  This included the c...

  1. Service Discovery – A Survey and Comparison

    Directory of Open Access Journals (Sweden)

    Bendaoud Karim Talal

    2013-07-01

    Full Text Available With the increasing number of services in the internet, companies’ intranets, and home networks: servicediscovery becomes an integral part of modern networked system. This paper provides a comprehensivesurvey of major solutions for service discovery. We cover techniques and features used in existing systems.Although a few survey articles have been published on this object, our contribution focuses on comparingand analyzing surveyed solutions according eight prime criteria, which we have defined before. Thiscomparison will be helpful to determine limits of existing discovery protocols and identify future researchopportunities in service discovery.

  2. Drug Discovery in Academia- the third way?

    Science.gov (United States)

    Frearson, Julie; Wyatt, Paul

    2010-01-01

    As the pharmaceutical industry continues to re-strategise and focus on low-risk, relatively short term gains for the sake of survival, we need to re-invigorate the early stages of drug discovery and rebalance efforts towards novel modes of action therapeutics and neglected genetic and tropical diseases. Academic drug discovery is one model which offers the promise of new approaches and an alternative organisational culture for drug discovery as it attempts to apply academic innovation and thought processes to the challenge of discovering drugs to address real unmet need. PMID:20922062

  3. Open PHACTS: semantic interoperability for drug discovery.

    Science.gov (United States)

    Williams, Antony J; Harland, Lee; Groth, Paul; Pettifer, Stephen; Chichester, Christine; Willighagen, Egon L; Evelo, Chris T; Blomberg, Niklas; Ecker, Gerhard; Goble, Carole; Mons, Barend

    2012-11-01

    Open PHACTS is a public-private partnership between academia, publishers, small and medium sized enterprises and pharmaceutical companies. The goal of the project is to deliver and sustain an 'open pharmacological space' using and enhancing state-of-the-art semantic web standards and technologies. It is focused on practical and robust applications to solve specific questions in drug discovery research. OPS is intended to facilitate improvements in drug discovery in academia and industry and to support open innovation and in-house non-public drug discovery research. This paper lays out the challenges and how the Open PHACTS project is hoping to address these challenges technically and socially. PMID:22683805

  4. Two Kinds of Discovery: An Ontological Account

    CERN Document Server

    Gilead, Amihud

    2014-01-01

    What can we discover? As the discussion in this paper is limited to ontological considerations, it does not deal with the discovery of new concepts. It raises the following question: What are the entities or existents that we can discover? There are two kinds of such entities: (1) actual entities, and (2) possible entities, which are pure possibilities. The paper explains why the first kind of discovery depends primarily on the second kind. The paper illustrates the discoveries of individual pure possibilities by presenting examples such as the Higgs particle, Dirac's positron, and Pauli-Fermi's neutrino.

  5. Automated Knowledge Discovery From Simulators

    Science.gov (United States)

    Burl, Michael; DeCoste, Dennis; Mazzoni, Dominic; Scharenbroich, Lucas; Enke, Brian; Merline, William

    2007-01-01

    A computational method, SimLearn, has been devised to facilitate efficient knowledge discovery from simulators. Simulators are complex computer programs used in science and engineering to model diverse phenomena such as fluid flow, gravitational interactions, coupled mechanical systems, and nuclear, chemical, and biological processes. SimLearn uses active-learning techniques to efficiently address the "landscape characterization problem." In particular, SimLearn tries to determine which regions in "input space" lead to a given output from the simulator, where "input space" refers to an abstraction of all the variables going into the simulator, e.g., initial conditions, parameters, and interaction equations. Landscape characterization can be viewed as an attempt to invert the forward mapping of the simulator and recover the inputs that produce a particular output. Given that a single simulation run can take days or weeks to complete even on a large computing cluster, SimLearn attempts to reduce costs by reducing the number of simulations needed to effect discoveries. Unlike conventional data-mining methods that are applied to static predefined datasets, SimLearn involves an iterative process in which a most informative dataset is constructed dynamically by using the simulator as an oracle. On each iteration, the algorithm models the knowledge it has gained through previous simulation trials and then chooses which simulation trials to run next. Running these trials through the simulator produces new data in the form of input-output pairs. The overall process is embodied in an algorithm that combines support vector machines (SVMs) with active learning. SVMs use learning from examples (the examples are the input-output pairs generated by running the simulator) and a principle called maximum margin to derive predictors that generalize well to new inputs. In SimLearn, the SVM plays the role of modeling the knowledge that has been gained through previous simulation trials

  6. The discovery of Maxwell's equations

    Science.gov (United States)

    Everitt, Francis

    2012-02-01

    In January 1865, Maxwell at age 34 wrote a letter to his cousin Charles Cay describing various doings, including his work on the viscosity of gases and a visit from two of the world's leading oculists to inspect the eyes of his dog ``Spice''. He added, ``I have also a paper afloat, with an electromagnetic theory of light, which, till I am convinced to the contrary, I hold to be great guns.'' That paper ``A Dynamical Theory of the Electromagnetic Field'' was his fourth on the subject. It was followed in 1868 by another, and then in 1873 by his massive two volume Treatise on Electricity and Magnetism. Even so, by the time of his death in 1879 as he was beginning a radically revised edition of the Treatise, much remained to be done. We celebrate here the 150^th anniversary of Maxwell's first astonished realization in 1862 of the link between electromagnetism and light. So revolutionary was this that 15 or more years went by before Lorentz, Poynting, FitzGerald, and others came to address it, sometimes with improvements, sometimes not. Not until 1888 did Hertz make the essential experimental discovery of radio waves. What is so remarkable about Maxwell's five papers is that each presents a complete view of the subject radically different from the one before. I shall say something about each, emphasizing in particular Maxwell's most unexpected idea, the displacement current, so vastly more interesting than the accounts of it found in textbooks today. Beyond lie other surprises. The concept of gauge invariance, and the role the vector potential would play in defining the canonical momentum of the electron, both go back to Maxwell. In 1872 came a paper ``On the Mathematical Classification of Physical Quantities'', which stands as an education in itself. Amid much else, there for the first time appears the distinction between axial and polar vectors and those new operational concepts related to quaternion theory: curl, divergence, and gradient.

  7. Anatomy of the Crowd4Discovery crowdfunding campaign.

    Science.gov (United States)

    Perlstein, Ethan O

    2013-01-01

    Crowdfunding allows the public to fund creative projects, including curiosity-driven scientific research. Last Fall, I was part of a team that raised $25,460 from an international coalition of "micropatrons" for an open, pharmacological research project called Crowd4Discovery. The goal of Crowd4Discovery is to determine the precise location of amphetamines inside mouse brain cells, and we are sharing the results of this project on the Internet as they trickle in. In this commentary, I will describe the genesis of Crowd4Discovery, our motivations for crowdfunding, an analysis of our fundraising data, and the nuts and bolts of running a crowdfunding campaign. Science crowdfunding is in its infancy but has already been successfully used by an array of scientists in academia and in the private sector as both a supplement and a substitute to grants. With traditional government sources of funding for basic scientific research contracting, an alternative model that couples fundraising and outreach - and in the process encourages more openness and accountability - may be increasingly attractive to researchers seeking to diversify their funding streams.

  8. Anatomy of the Crowd4Discovery crowdfunding campaign.

    Science.gov (United States)

    Perlstein, Ethan O

    2013-01-01

    Crowdfunding allows the public to fund creative projects, including curiosity-driven scientific research. Last Fall, I was part of a team that raised $25,460 from an international coalition of "micropatrons" for an open, pharmacological research project called Crowd4Discovery. The goal of Crowd4Discovery is to determine the precise location of amphetamines inside mouse brain cells, and we are sharing the results of this project on the Internet as they trickle in. In this commentary, I will describe the genesis of Crowd4Discovery, our motivations for crowdfunding, an analysis of our fundraising data, and the nuts and bolts of running a crowdfunding campaign. Science crowdfunding is in its infancy but has already been successfully used by an array of scientists in academia and in the private sector as both a supplement and a substitute to grants. With traditional government sources of funding for basic scientific research contracting, an alternative model that couples fundraising and outreach - and in the process encourages more openness and accountability - may be increasingly attractive to researchers seeking to diversify their funding streams. PMID:24255854

  9. Association Rule Discovery and Its Applications

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Data mining, i.e. , mining knowledge from large amounts of data, is a demanding field since huge amounts of data have been collected in various applications. The collected data far exceed peoples ability to analyze it. Thus, some new and efficient methods are needed to discover knowledge from large database. Association rule discovery is an important problem in knowledge discovery and data mining.The association mining task consists of identifying the frequent item sets and then forming conditional implication rule among them. In this paper, we describe and summarize recent work on association rule discovery, offer a new method to association rule mining and point out that association rule discovery can be applied in spatial data mining. It is useful to discover knowledge from remote sensing and geographical information system.``

  10. Indexer Based Dynamic Web Services Discovery

    CERN Document Server

    Bashir, Saba; Javed, M Younus; Khan, Aihab; Khiyal, Malik Sikandar Hayat

    2010-01-01

    Recent advancement in web services plays an important role in business to business and business to consumer interaction. Discovery mechanism is not only used to find a suitable service but also provides collaboration between service providers and consumers by using standard protocols. A static web service discovery mechanism is not only time consuming but requires continuous human interaction. This paper proposed an efficient dynamic web services discovery mechanism that can locate relevant and updated web services from service registries and repositories with timestamp based on indexing value and categorization for faster and efficient discovery of service. The proposed prototype focuses on quality of service issues and introduces concept of local cache, categorization of services, indexing mechanism, CSP (Constraint Satisfaction Problem) solver, aging and usage of translator. Performance of proposed framework is evaluated by implementing the algorithm and correctness of our method is shown. The results of p...

  11. Specification Editing and Discovery Assistant Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The project will prototype a specification editing and discovery tool (SPEEDY) for C/C++ that will assist software developers with modular formal verification tasks...

  12. 6 CFR 13.21 - Discovery.

    Science.gov (United States)

    2010-01-01

    ...) In general. (1) The following types of discovery are authorized: (i) Requests for production of... Document or of the truth of any relevant fact; (iii) Written interrogatories; and (iv) Depositions....

  13. 34 CFR 33.21 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... types of discovery are authorized: (1) Requests for production of documents for inspection and copying. (2) Requests for admissions of the authenticity of any relevant document or of the truth of...

  14. 22 CFR 35.21 - Discovery.

    Science.gov (United States)

    2010-04-01

    ...) The following types of discovery are authorized: (1) Requests for production of documents for... truth of any relevant fact; (3) Written interrogatories; and (4) Depositions. (b) For the purpose...

  15. 45 CFR 79.21 - Discovery.

    Science.gov (United States)

    2010-10-01

    .... (a) The following types of discovery are authorized: (1) Requests for production of documents for... or of the truth of any revelant fact; (3) Written interrogatories; and (4) Depositions. (b) For...

  16. 12 CFR 308.520 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... PROCEDURE Program Fraud Civil Remedies and Procedures § 308.520 Discovery. (a) The following types of... for admission of the authenticity of any relevant document or of the truth of any relevant fact;...

  17. 10 CFR 1013.21 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... following types of discovery are authorized: (1) Requests for production of documents for inspection and copying; (2) Requests for admissions of the authenticity of any relevant document or of the truth of...

  18. Discovery announced of four new elements

    Science.gov (United States)

    Banks, Michael

    2016-02-01

    The International Union of Pure and Applied Chemistry (IUPAC) and the International Union of Pure and Applied Physics (IUPAP) have announced the discovery of four new elements: 113, 115, 117 and 118 - completing the periodic table's seventh row.

  19. DNA Coding Based Knowledge Discovery Algorithm

    Institute of Scientific and Technical Information of China (English)

    LI Ji-yun; GENG Zhao-feng; SHAO Shi-huang

    2002-01-01

    A novel DNA coding based knowledge discovery algorithm was proposed, an example which verified its validity was given. It is proved that this algorithm can discover new simplified rules from the original rule set efficiently.

  20. Priority of discovery in the life sciences.

    Science.gov (United States)

    Vale, Ronald D; Hyman, Anthony A

    2016-01-01

    The job of a scientist is to make a discovery and then communicate this new knowledge to others. For a scientist to be successful, he or she needs to be able to claim credit or priority for discoveries throughout their career. However, despite being fundamental to the reward system of science, the principles for establishing the "priority of discovery" are rarely discussed. Here we break down priority into two steps: disclosure, in which the discovery is released to the world-wide community; and validation, in which other scientists assess the accuracy, quality and importance of the work. Currently, in biology, disclosure and an initial validation are combined in a journal publication. Here, we discuss the advantages of separating these steps into disclosure via a preprint, and validation via a combination of peer review at a journal and additional evaluation by the wider scientific community. PMID:27310529

  1. Juvenile Arthritis: Discoveries Lead to Newer Treatments

    Science.gov (United States)

    ... For Consumers Home For Consumers Consumer Updates Juvenile Arthritis: Discoveries Lead to Newer Treatments Share Tweet Linkedin ... back to top Biologics: New Treatments for Juvenile Arthritis “As science at the molecular level has advanced, ...

  2. Anthelmintics – From Discovery to Resistance

    Directory of Open Access Journals (Sweden)

    Adrian J. Wolstenholme

    2014-12-01

    Full Text Available The scientific meeting entitled ‘Anthelmintics: From Discovery to Resistance’ was held in San Francisco in February 2014. The themes of the meeting were drug discovery, modes of action and resistance. Both human and veterinary parasites were covered in the oral and poster presentations. The attendees were from both academic and industrial backgrounds. In the present article we introduce a number of the papers that emerged from the meeting. Several of the papers covered current drug discovery efforts underway worldwide, with some specific examples focusing on ion channels, protein kinases and cysteine proteases. These efforts included the repurposing of known drugs as well as the discovery of novel actives. Two papers described recently-developed whole-organism screening techniques. Finally, we introduce several papers looking at mechanisms and management of drug resistance in human and veterinary parasites.

  3. Arthritis Genetics Analysis Aids Drug Discovery

    Science.gov (United States)

    ... Matters NIH Research Matters January 13, 2014 Arthritis Genetics Analysis Aids Drug Discovery An international research team ... may play a role in triggering the disease. Genetic factors are also thought to play a role. ...

  4. 29 CFR 1603.210 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... STATE AND LOCAL GOVERNMENT EMPLOYEE COMPLAINTS OF EMPLOYMENT DISCRIMINATION UNDER SECTION 304 OF THE GOVERNMENT EMPLOYEE RIGHTS ACT OF 1991 Hearings § 1603.210 Discovery. (a) Unless otherwise ordered by...

  5. Combinatorial Discovery and Optimization of New Materials

    Institute of Scientific and Technical Information of China (English)

    Gao Chen; Zhang Xinyi; Yan Dongsheng

    2001-01-01

    The concept of the combinatorial discovery and optimization of new materials, and its background,importance, and application, as well as its current status in the world, are briefly reviewed in this paper.

  6. The National Cancer Program: Driving Discovery

    Science.gov (United States)

    An overview of NCI’s role in driving cancer research discoveries: conducting and funding research in challenging areas and providing resources and leadership to national infrastructures for cancer research.

  7. PTF SN discovery report, April 2012

    Science.gov (United States)

    Gal-Yam, Avishay; Arcavi, I.; Ben-Ami, S.; Yaron, O.; Nugent, P.; Levitam, D.; Simonian, G.; Sesar, B.; Cao, Y.; Horesh, A.; Bellm, E.; Silverman, J.; Miller, A.; Cenko, S. B.; Clubb, K. I.; Filippenko, A. V.; Shivvers, I.; Kasliwal, M.; Parrent, J.; Maguire, K.; Pan, Y.-C.

    2012-05-01

    The PTF (ATEL #1964, #3253; http://www.astro.caltech.edu/ptf/; Law et al. 2009, PASP, 121, 1395; Rau et al. 2009, PASP, 121, 1334) reports the discovery of 19 new supernovae. PTF discoveries are made by autonomous PTF software (Bloom et al. 2011, http://adsabs.harvard.edu/abs/2011arXiv1106.5491B ), as well as by the Galaxy Zoo Supernova Project (Smith et al. 2011, MNRAS, 412, 1309; http://supernova.galaxyzoo.org ).

  8. PTF SN discovery report, August 2012

    Science.gov (United States)

    Arcavi, Iair; Gal-Yam, A.; Ben-Ami, S.; Yaron, O.; Horesh, P. Nugent A.; Cao, Y.; Bellm, E.; Fynbo, J.; Wiis, J.; Olesen, J.; Engedal, L.; Larsen, A.; Kasliwal, M.; Pan, Y.-C.; Graham, M.; Parrent, J.; Quimby, R.; PTF Team

    2012-08-01

    The PTF (ATEL #1964, #3253; http://www.astro.caltech.edu/ptf; Law et al. 2009, PASP, 121, 1395; Rau et al. 2009, PASP, 121, 1334) reports the discovery of 12 new supernovae. PTF discoveries are made by autonomous PTF software (Bloom et al. 2011, http://adsabs.harvard.edu/abs/2011arXiv1106.5491B ), as well as by the Galaxy Zoo Supernova Project (Smith et al. 2011, MNRAS, 412, 1309; http://supernova.galaxyzoo.org ).

  9. PTF SN discovery report, September 8, 2012

    Science.gov (United States)

    Gal-Yam, A.; Nugent, P.; Walker, E.; Cenko, S. B.; Fox, O.

    2012-09-01

    The PTF (ATEL #1964, #3253; http://www.astro.caltech.edu/ptf ; Law et al. 2009, PASP, 121, 1395; Rau et al. 2009, PASP, 121, 1334) reports the discovery of 8 new supernovae. PTF discoveries are made by autonomous PTF software (Bloom et al. 2011, http://adsabs.harvard.edu/abs/2011arXiv1106.5491B ), as well as by the Galaxy Zoo Supernova Project (Smith et al. 2011, MNRAS, 412, 1309; http://supernova.galaxyzoo.org ).

  10. PTF SN discovery report, July 2012

    Science.gov (United States)

    Gal-Yam, Avishay; Ben-Ami, Sagi; Arcavi, I.; Yaron, O.; Nugent, Peter; Sesar, B.; Cao, Y.; Silverman, J.; Clubb, K.; Filippenko, A. V.; Cenko, S. B.; Parrent, J.; Maguire, K.; Sullivan, M.

    2012-08-01

    The PTF (ATEL #1964, #3253; http://www.astro.caltech.edu/ptf/ ; Law et al. 2009, PASP, 121, 1395; Rau et al. 2009, PASP, 121, 1334) reports the discovery of 14 new supernovae. PTF discoveries are made by autonomous PTF software (Bloom et al. 2011, http://adsabs.harvard.edu/abs/2011arXiv1106.5491B ), as well as by the Galaxy Zoo Supernova Project (Smith et al. 2011, MNRAS, 412, 1309; http://supernova.galaxyzoo.org ).

  11. PTF SN discovery report, March 2012

    Science.gov (United States)

    Gal-Yam, Avishay; Arcavi, I.; Ben-Ami, S.; Yaron, O.; Nugent, P.; Levitam, D.; Simonian, G.; Sesar, B.; Cao, Y.; Horesh, A.; Bellm, E.; Silverman, J.; Miller, A.; Cenko, S. B.; Clubb, K. I.; Filippenko, A. V.; Shivvers, I.; Kasliwal, M.; Parrent, J.; Maguire, K.; Pan, Y.-C.

    2012-05-01

    The PTF (ATEL #1964, #3253; http://www.astro.caltech.edu/ptf/; Law et al. 2009, PASP, 121, 1395; Rau et al. 2009, PASP, 121, 1334) reports the discovery of 26 new supernovae. PTF discoveries are made by autonomous PTF software (Bloom et al. 2011, http://adsabs.harvard.edu/abs/2011arXiv1106.5491B ), as well as by the Galaxy Zoo Supernova Project (Smith et al. 2011, MNRAS, 412, 1309; http://supernova.galaxyzoo.org ).

  12. PTF SN discovery report, October 9, 2012

    Science.gov (United States)

    Gal-Yam, A.; Nugent, P.; Cao, Y.; Levitan, D.; Hallinan, G.; Kyne, G.; Silverman, J.; Clubb, K.; Miller, A.; Fox, O.; Suzuki, N.; Quimby, R.

    2012-10-01

    The PTF (ATEL #1964, #3253; http://www.astro.caltech.edu/ptf; Law et al. 2009, PASP, 121, 1395; Rau et al. 2009, PASP, 121, 1334) reports the discovery of 9 new supernovae. PTF discoveries are made by autonomous PTF software (Bloom et al. 2011, http://adsabs.harvard.edu/abs/2011arXiv1106.5491B ), as well as by the Galaxy Zoo Supernova Project (Smith et al. 2011, MNRAS, 412, 1309; http://supernova.galaxyzoo.org ).

  13. Toward discovery science of human brain function

    DEFF Research Database (Denmark)

    Biswal, Bharat B; Mennes, Maarten; Zuo, Xi-Nian;

    2010-01-01

    Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints...... in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/....

  14. Group Evolution Discovery in Social Networks

    OpenAIRE

    Bródka, Piotr; Saganowski, Stanisław; Kazienko, Przemysław

    2013-01-01

    Group extraction and their evolution are among the topics which arouse the greatest interest in the domain of social network analysis. However, while the grouping methods in social networks are developed very dynamically, the methods of group evolution discovery and analysis are still uncharted territory on the social network analysis map. Therefore the new method for the group evolution discovery called GED is proposed in this paper. Additionally, the results of the first experiments on the ...

  15. The University of New Mexico Center for Molecular Discovery.

    Science.gov (United States)

    Edwards, Bruce S; Gouveia, Kristine; Oprea, Tudor I; Sklar, Larry A

    2014-03-01

    The University of New Mexico Center for Molecular Discovery (UNMCMD) is an academic research center that specializes in discovery using high throughput flow cytometry (HTFC) integrated with virtual screening, as well as knowledge mining and drug informatics. With a primary focus on identifying small molecules that can be used as chemical probes and as leads for drug discovery, it is a central core resource for research and translational activities at UNM that supports implementation and management of funded screening projects as well as "up-front" services such as consulting for project design and implementation, assistance in assay development and generation of preliminary data for pilot projects in support of competitive grant applications. The HTFC platform in current use represents advanced, proprietary technology developed at UNM that is now routinely capable of processing bioassays arrayed in 96-, 384- and 1536-well formats at throughputs of 60,000 or more wells per day. Key programs at UNMCMD include screening of research targets submitted by the international community through NIH's Molecular Libraries Program; a multi-year effort involving translational partnerships at UNM directed towards drug repurposing - identifying new uses for clinically approved drugs; and a recently established personalized medicine initiative for advancing cancer therapy by the application of "smart" oncology drugs in selected patients based on response patterns of their cancer cells in vitro. UNMCMD discoveries, innovation, and translation have contributed to a wealth of inventions, patents, licenses and publications, as well as startup companies, clinical trials and a multiplicity of domestic and international collaborative partnerships to further the research enterprise.

  16. History of the Discovery of Mira Stars

    Science.gov (United States)

    Hoffleit, Dorrit

    This year we celebrate the 400th anniversary of Fabricius' discovery of Mira, "The Wonderful," in 1596. But was he the first? Within the first century following Fabricius, four Mira-type variables were discovered, and in all cases it has been found that the stars were suspected of being novae long before their "official" discovery in the Western World. Three of the four had been recorded as novae in early Chinese or Korean records. By 1896, 251 Mira-type variabes had been discovered, most of them after the beginning of photographic experimentation. Now in the year of the fourth centennial, over 6000 Miras are known. Because of their ease of discovery relative to stars of small amplitude, no new Mira stars reaching naked-eye visibility have been discovered since 1899. The history of the discovery of Mira-type variables illustrates that (1) some new discoveries are re-discoveries of objects previously assumed to be novae; and (2) apparently logical deductions that early observations of a guest star correspond to a later discovered Mire-type may nevertheless be wrong.

  17. The Methodological Unboundedness of Limited Discovery Processes

    Directory of Open Access Journals (Sweden)

    John Benjamin Cassel

    2014-12-01

    Full Text Available Though designers must understand systems, designers work differently than scientists in studying systems.  Design engagements do not discover whole systems, but take calculated risks between discovery and intervention. For this reason, design practices must cope with open systems, and unpacking the tacit guidelines behind these practices is instructive to systems methodology. This paper shows that design practice yields a methodology which applies across forms of design.  Design practice teaches us to generate ideas and gather data longer, but stop when the return on design has diminished past its cost.  Fortunately, we can reason about the unknown by understanding the character of the unbounded.  We suppose that there might as well be an infinite number of factors, but we can reason about their concentration without knowing all of them.  We demonstrate this concept on stakeholder systems, showing how design discovery informs systems methodology. Using this result, we can apply the methods of parametric design when the parameters are not yet known by establishing the concentration of every kind of factor, entailing a discovery rate of diminishing returns over discovery activities, allowing the analysis of discovery-based trade-offs.  Here, we extend a framework for providing metrics to parametric design, allowing it to express the importance of discovery.

  18. Integrative discovery of epigenetically derepressed cancer testis antigens in NSCLC.

    Directory of Open Access Journals (Sweden)

    Chad A Glazer

    Full Text Available BACKGROUND: Cancer/testis antigens (CTAs were first discovered as immunogenic targets normally expressed in germline cells, but differentially expressed in a variety of human cancers. In this study, we used an integrative epigenetic screening approach to identify coordinately expressed genes in human non-small cell lung cancer (NSCLC whose transcription is driven by promoter demethylation. METHODOLOGY/PRINCIPAL FINDINGS: Our screening approach found 290 significant genes from the over 47,000 transcripts incorporated in the Affymetrix Human Genome U133 Plus 2.0 expression array. Of the top 55 candidates, 10 showed both differential overexpression and promoter region hypomethylation in NSCLC. Surprisingly, 6 of the 10 genes discovered by this approach were CTAs. Using a separate cohort of primary tumor and normal tissue, we validated NSCLC promoter hypomethylation and increased expression by quantitative RT-PCR for all 10 genes. We noted significant, coordinated coexpression of multiple target genes, as well as coordinated promoter demethylation, in a large set of individual tumors that was associated with the SCC subtype of NSCLC. In addition, we identified 2 novel target genes that exhibited growth-promoting effects in multiple cell lines. CONCLUSIONS/SIGNIFICANCE: Coordinated promoter demethylation in NSCLC is associated with aberrant expression of CTAs and potential, novel candidate protooncogenes that can be identified using integrative discovery techniques. These findings have significant implications for discovery of novel CTAs and CT antigen directed immunotherapy.

  19. Towards discovery-driven translational research in breast cancer

    DEFF Research Database (Denmark)

    2005-01-01

    Discovery-driven translational research in breast cancer is moving steadily from the study of cell lines to the analysis of clinically relevant samples that, together with the ever increasing number of novel and powerful technologies available within genomics, proteomics and functional genomics......, promise to have a major impact on the way breast cancer will be diagnosed, treated and monitored in the future. Here we present a brief report on long-term ongoing strategies at the Danish Centre for Translational Breast Cancer Research to search for markers for early detection and targets for therapeutic...... biology approach to fight breast cancer....

  20. Telomere and Telomerase: From Discovery to Cancer Treatment

    Directory of Open Access Journals (Sweden)

    Eskandari-Nasab

    2015-07-01

    Full Text Available Context Cancer is a major cause of death worldwide. It was estimated that 7.6 million people died during 2008 due to cancer and this figure is expected to double by 2030. To conquer this disease, discovery of validated targets and new drugs is a necessity. Evidence Acquisition Telomeres are terminal structures of linear chromosomes in eukaryotes and consist of multiple repetitive sequences. Their main function is to protect and confer stability to chromosome ends and prevent their breakage, end-to-end fusion, and degeneration. Polymerases responsible for replication of DNA in eukaryotes are not able to replicate chromosome ends and, during cell division, chromosomes continuously become shorter from the telomere ends. This shortening will eventually stop cell division. In cancer cells, there is a ribonucleoprotein enzyme called telomerase that allows compensation of telomere shortening and continuation of the cell multiplication process. Results About 90% of cancers need a high level of this enzyme to continue cell multiplication. Since this enzyme set is absent in normal cells, or present at a very low level, use of telomerase inhibitors cannot have significant effects on normal cells. Conclusions Since telomerase is expressed in 90% of cancer cells, its inhibition can be considered as a goal of cancer treatment.

  1. New techniques in antibiotic discovery and resistance: Raman spectroscopy.

    Science.gov (United States)

    Carey, Paul R; Heidari-Torkabadi, Hossein

    2015-09-01

    Raman spectroscopy can play a role in both antibiotic discovery and understanding the molecular basis of resistance. A major challenge in drug development is to measure the population of the drug molecules inside a cell line and to follow the chemistry of their reactions with intracellular targets. Recently, a protocol based on Raman microscopy has been developed that achieves these goals. Drug candidates are soaked into live bacterial cells and subsequently the cells are frozen and freeze-dried. The samples yield exemplary (nonresonance) Raman data that provide a measure of the number of drug molecules within each cell, as well as details of drug-target interactions. Results are discussed for two classes of compounds inhibiting either β-lactamase or dihydrofolate reductase enzymes in a number of Gram-positive or Gram-negative cell lines. The advantages of the present protocol are that it does not use labels and it can measure the kinetics of cell-compound uptake on the time scale of minutes. Spectroscopic interpretation is supported by in vitro Raman experiments. Studying drug-target interactions in aqueous solution and in single crystals can provide molecular level insights into drug-target interactions, which, in turn, provide the underpinnings of our understanding of data from bacterial cells. Thus, the applicability of X-ray crystallographic-derived data to in-cell chemistry can be tested. PMID:26275225

  2. Electrochemistry "Discovery" Course for Undergraduates

    Science.gov (United States)

    May, Michael Alan; Gupta, Vijay K.

    1997-07-01

    We developed a chemistry selected topics course at Central State University, "Introduction to Laboratory Techniques in Electrochemistry" to: (1) give undergraduates hands-on experience with electrochemical measurements, (2) prepare students for summer research in Fuel Cell and Battery technology. Since students "learn by doing", the course is suitable for undergraduates from sophomore to senior levels. Students complete 6 laboratories, based on a "less is more" philosophy which emphasizes analytic and creative process rather than mandatory topical coverage. Eight electrochemical experiments are available: Construction of Zinc-Copper battery stacks, Lead Acid Battery discharge-charge cycles, Conductimetric titration of aspirin with Ammonium Hydroxide, Ion Selective Electrode determination of Fluoride in water, Cyclic Voltammetry of Potassium Ferricyanide solution, Cyclic Voltammetry of Sulfuric acid on Platinum working electrode, Anodic Stripping Voltammetry of Lead ion in solution, Differential Pulse Polarography of Lead ion in solution. Topics discussed in lecture include: chemical definitions, electrical definitions, Oxidation-Reduction reactions, Electrochemical series, Electrodes, Electrochemical Cells, direct Coulometry, electrolysis, electrochemical process efficiency, equilibrium Potentiometry, real Cell Voltages, Ion Selective Electrode types and designs, reference electrode designs, working electrode materials, pH buffers, Cyclic Voltammetry, Anodic Stripping Voltammetry, Polarography, differential pulse Polarography, and simple electrochemical instrumentation circuits.

  3. 18 CFR 385.908 - Discovery (Rule 908).

    Science.gov (United States)

    2010-04-01

    ... conduct discovery where such discovery relates to new facts or issues raised in accordance with Rule 907(b... discovery: (1) Relates to new facts or issues raised in accordance with Rule 907(c) (new facts and issues... 18 Conservation of Power and Water Resources 1 2010-04-01 2010-04-01 false Discovery (Rule...

  4. Discovery of a novel anticancer agent with both anti-topoisomerase I and II activities in hepatocellular carcinoma SK-Hep-1 cells in vitro and in vivo: Cinnamomum verum component 2-methoxycinnamaldehyde.

    Science.gov (United States)

    Perng, Daw-Shyong; Tsai, Yu-Hsin; Cherng, Jonathan; Wang, Jeng-Shing; Chou, Kuo-Shen; Shih, Chia-Wen; Cherng, Jaw-Ming

    2016-01-01

    Cinnamomum verum is used to make the spice cinnamon and has been used as a traditional Chinese herbal medicine for various applications. We evaluated the anticancer effect of 2-methoxycinnamaldehyde (2-MCA), a constituent of the bark of the plant, and its underlying molecular biomarkers associated with carcinogenesis in human hepatocellular carcinoma SK-Hep-1 cell line. The results show that 2-MCA suppressed proliferation and induced apoptosis as indicated by mitochondrial membrane potential loss, activation of caspase-3 and caspase-9, increase in the DNA content in sub-G1, and morphological characteristics of apoptosis, including blebbing of plasma membrane, nuclear condensation, fragmentation, apoptotic body formation, and long comet tail. In addition, 2-MCA also induced lysosomal vacuolation with increased volume of acidic compartments, suppressions of nuclear transcription factors NF-κB, cyclooxygenase-2, prostaglandin E2 (PGE2), and both topoisomerase I and II activities in a dose-dependent manner. Further study reveals the growth-inhibitory effect of 2-MCA was also evident in a nude mice model. Taken together, the data suggest that the growth-inhibitory effect of 2-MCA against SK-Hep-1 cells is accompanied by downregulations of NF-κB-binding activity, inflammatory responses involving cyclooxygenase-2 and PGE2, and proliferative control involving apoptosis, both topoisomerase I and II activities, together with an upregulation of lysosomal vacuolation and volume of acidic compartments. Similar effects (including all of the above-mentioned effects) were found in other tested cell lines, including human hepatocellular carcinoma Hep 3B, lung adenocarcinoma A549, squamous cell carcinoma NCI-H520, colorectal adenocarcinoma COLO 205, and T-lymphoblastic MOLT-3 (results not shown). Our data suggest that 2-MCA could be a potential agent for anticancer therapy. PMID:26792981

  5. Discovery of a novel restriction endonuclease by genome comparison and application of a wheat-germ-based cell-free translation assay: PabI (5′-GTA/C) from the hyperthermophilic archaeon Pyrococcus abyssi

    OpenAIRE

    Ishikawa, Ken; Watanabe, Miki; Kuroita, Toshihiro; Uchiyama, Ikuo; Bujnicki, Janusz M.; Kawakami, Bunsei; Tanokura, Masaru; Kobayashi, Ichizo

    2005-01-01

    To search for restriction endonucleases, we used a novel plant-based cell-free translation procedure that bypasses the toxicity of these enzymes. To identify candidate genes, the related genomes of the hyperthermophilic archaea Pyrococcus abyssi and Pyrococcus horikoshii were compared. In line with the selfish mobile gene hypothesis for restriction–modification systems, apparent genome rearrangement around putative restriction genes served as a selecting criterion. Several candidate restricti...

  6. What Does Galileo's Discovery of Jupiter's Moons Tell Us about the Process of Scientific Discovery?

    Science.gov (United States)

    Lawson, Anton E.

    2002-01-01

    Given that hypothetico-deductive reasoning has played a role in other important scientific discoveries, asks the question whether it plays a role in all important scientific discoveries. Explores and rejects as viable alternatives possible alternative scientific methods such as Baconian induction and combinatorial analysis. Discusses the…

  7. Internet Naming and Discovery Architecture and Economics

    CERN Document Server

    Khoury, Joud S

    2013-01-01

    Naming is an integral building block within data networks and systems and is becoming ever more important as complex data-centric usage models emerge. Internet Naming and Discovery is timely in developing a unified model for studying the topic of naming and discovery. It details the architectural and economic tools needed for designing naming and discovery schemes within the broader context of internetwork architecture.   Readers will find in this book a historic overview of the Internet and a comprehensive survey of the literature, followed by and an in-depth examination of naming and discovery. Specific topics covered include: ·         formal definitions of name, address, identifier, locator, binding, routing, discovery, mapping, and resolution; ·         a discussion of the properties of names and bindings, along with illustrative case studies; ·         taxonomy that helps in organizing the solution space, and more importantly in identifying new avenues for contributing to the...

  8. Using C. elegans for antimicrobial drug discovery

    Science.gov (United States)

    Desalermos, Athanasios; Muhammed, Maged; Glavis-Bloom, Justin; Mylonakis, Eleftherios

    2011-01-01

    Introduction The number of microorganism strains with resistance to known antimicrobials is increasing. Therefore, there is a high demand for new, non-toxic and efficient antimicrobial agents. Research with the microscopic nematode Caenorhabditis elegans can address this high demand for the discovery of new antimicrobial compounds. In particular, C. elegans can be used as a model host for in vivo drug discovery through high-throughput screens of chemical libraries. Areas covered This review introduces the use of substitute model hosts and especially C. elegans in the study of microbial pathogenesis. The authors also highlight recently published literature on the role of C. elegans in drug discovery and outline its use as a promising host with unique advantages in the discovery of new antimicrobial drugs. Expert opinion C. elegans can be used, as a model host, to research many diseases, including fungal infections and Alzheimer’s disease. In addition, high-throughput techniques, for screening chemical libraries, can also be facilitated. Nevertheless, C. elegans and mammals have significant differences that both limit the use of the nematode in research and the degree by which results can be interpreted. That being said, the use of C. elegans in drug discovery still holds promise and the field continues to grow, with attempts to improve the methodology already underway. PMID:21686092

  9. Facilitating Service Discovery with Semantic Overlay

    Institute of Scientific and Technical Information of China (English)

    Hai Jin; Hao Wu; Xiao-Min Ning

    2006-01-01

    Service Oriented Architecture (SOA) and Peer-to-Peer (P2P) computing share many common characteristics.It is believed that the combination of the two emerging techniques is a very promising method in promoting the web services (WS). Because the service discovery plays a key role in the integration, here a P2P-based framework to manage the knowledge of service and locating services is proposed. In this paper, the details of the principle, constructing and maintaining of service semantic overlay architecture have been described, and the way how the semantic overlay facilitates discovery of service resources is illustrated. To enable the semantic web service superiority, Service Ontology, which is considered as the service semantic model, is employed to depict service. The service discovery includes two phases: searching on the service semantic overlay; and local discovery in peer's service repository. Various solutions have been proposed to realize those two phases.Furthermore, tests are carried out to evaluate service discovery on the architecture.

  10. Review: US Spelling Colorectal cancer models for novel drug discovery

    Science.gov (United States)

    Golovko, Daniel; Kedrin, Dmitriy; Yilmaz, Omer H.; Roper, Jatin

    2016-01-01

    Introduction Despite increased screening rates and advances in targeted therapy, colorectal cancer (CRC) remains the third leading cause of cancer-related mortality. CRC models that recapitulate key features of human disease are essential to the development of novel and effective therapeutics. Classic methods of modeling CRC such as human cell lines and xenograft mice, while useful for many applications, carry significant limitations. Recently developed in vitro and in vivo models overcome some of these deficiencies and thus can be utilized to better model CRC for mechanistic and translational research. Areas Covered The authors review established models of in vitro cell culture and describe advances in organoid culture for studying normal and malignant intestine. They also discuss key features of classic xenograft models and describe other approaches for in vivo CRC research, including patient-derived xenograft, carcinogen-induced, orthotopic transplantation, and transgenic mouse models. We also describe mouse models of metastatic CRC. Expert opinion No single model is optimal for drug discovery in CRC. Genetically engineered models overcome many limitations of xenograft models. Three-dimensional organoids can be efficiently derived from both normal and malignant tissue for large-scale in vitro and in vivo (transplantation) studies, and are thus a significant advance in CRC drug discovery. PMID:26295972

  11. Emerging Concepts and Approaches for Chemokine-Receptor Drug Discovery

    Science.gov (United States)

    O’Hayre, Morgan; Salanga, Catherina L.; Handel, Tracy M.; Hamel, Damon J.

    2010-01-01

    Importance of the field Chemokine receptors are G protein-coupled receptors (GPCRs) most noted for their role in cell migration. However, inappropriate utilization or regulation of these receptors is implicated in many inflammatory diseases, cancer and HIV, making them important drug targets. Areas covered in this review Allostery, oligomerization, and ligand bias are presented as they pertain to chemokine receptors and their associated pathologies. Specific examples of each are described from the recent literature and their implications are discussed in terms of drug discovery efforts targeting chemokine receptors. What the reader will gain Insight into the expanding view of the multitude of pharmacological variables that need to be considered or that may be exploited in chemokine receptor drug discovery. Take home message Since 2007, two drugs targeting chemokine receptors have been approved by the FDA, Maraviroc for preventing HIV infection and Mozobil™ for hematopoietic stem cell mobilization. While these successes permit optimism for chemokine receptors as drug targets, only recently has the complexity of this system begun to be appreciated. The concepts of allosteric inhibitors, biased ligands and functional selectivity raise the possibility that drugs with precisely-defined properties can be developed. Other complexities such as receptor oligomerization and tissue-specific functional states of receptors also offer opportunities for increased target and response specificity, although it will be more challenging to translate these ideas into approved therapeutics compared to traditional approaches. PMID:21132095

  12. A new era for GPCR research: structures, biology anddrug discovery

    Institute of Scientific and Technical Information of China (English)

    H Eric XU; Rui-ping XIAO

    2012-01-01

    Cells in a living organism must communicate with each other through continuously sending and receiving messages.G-protein coupled receptors (GPCRs) are the largest family of communicating molecules at the cell surface.They transmit diverse extracellular signals,ranging from light and small chemical hormones to large peptide and protein hormones,and as such they play crucial roles in numerous physiological and pathological processes.More importantly,GPCRsare the most successful class of drug targets that are relevant to many major diseases,including cancer,heart failure,and inflammatory diseases.Over 50% of currently used drugs are targeted to GPCRs.However,these drugs target only 50-60 GPCRs,leaving the majority of human GPCRs,exceeding 800,unexplored for drug discovery.Given the prominent roles of GPCRs in biology and their successful track records as drug targets,GPCRs have become a hot frontier in basic research of life science and therapeutic discovery of translational medicines.

  13. 喉癌 Hep -2细胞来源的 exosomes 的发现和鉴定%Discovery and isolation of exosomes derived from laryngocarcinoma Hep - 2 cells

    Institute of Scientific and Technical Information of China (English)

    吉晓滨; 梁俊毅; 刘启才; 谢景华

    2015-01-01

    Objective:To observe whether laryngocarcinoma Hep - 2 cells can secrete exosomes,and to identify exosomes morphologically. Methods:A large number of laryngocarcinoma Hep - 2 cells were cultivated,the yield of exosomes increased by hot shock,cell culture supernatant was gathered. Firstly,the culture supernatant was pretreat-ment by clarification through a 3 / 0. 8μm small filter element for deep filter to remove particles and impurities with larger diameter. Secondly,exosome isolation kit was used to isolate and extract exosomes. Cells culture supernatant 4ml was gathered,the solutions of the kit were added into the supernatant in proper sequence,then filtered by the special column,the concentrated fluid was obtained. The exosomes were observed under transmission electron microscopy. Re-sults:Exosomes could be isolated and extracted from culture supernatant of laryngocarcinoma Hep - 2 cells,and it present circular or elliptical vesicle with bilayer membrane,high density,well - distribution,and with range from 20 to 100nm of diameter. Conclusion:Exosomes can be secreted from laryngocarcinoma Hep - 2 cells was first discovered, which provide a new research to laryngocarcinoma immunotherapy.%目的:观察喉癌 Hep -2细胞可否分泌 exosomes,并从形态学角度鉴定。方法:大量培养喉癌 Hep -2细胞,热休克处理,收集培养上清。先通过3/0.8μm 深层过滤小型滤芯对上清进行预处理,去除直径较大的颗粒和杂质。采用 Exosome Isolation Kit(商品化试剂盒)收集培养上清液4ml,依次加入 Exosome Isolation Kit内试剂,通过 exosomes 提取专用过滤柱,收集浓缩液。用高倍透射电子显微镜对 exosomes 做鉴定。结果:成功从喉癌 Hep -2细胞培养上清中分离提取出 exosomes,电镜观察见 exosomes 呈圆形或椭圆形双层膜的囊泡状结构,直径约20~100nm,密度较高,分散均匀。结论:首次发现喉癌细胞自身能分泌 exosomes,为喉

  14. A Cell-Based Screening Model for Human PPARα Agonist Ligands Discovery and Its Applicability%基于人PPARα为靶标的药物筛选细胞模型的建立与应用评价

    Institute of Scientific and Technical Information of China (English)

    马晶晶; 张潜; 方宁; 万卫红; 刘祖林; 章涛

    2011-01-01

    目的 构建一种新的、具有生物活性检测能力的人过氧化物酶体增殖物激活受体α(hPPARo)配体药物筛选细胞模型.方法 采用Lipofectamine 2000将含人PPARα基因质粒phPPARα-IRES2-EGFP、含人PPRE报告质粒ptk-PPRE×3-1uc及内部对照质粒pRL-CMV共转染293T细胞,并对phPPARα-IRES2-EGFP转染效率进行流式细胞仪(FCM)分析;通过双荧光素酶报告基因法(DLR)检测不同浓度、不同时间阳性药物WY14643干预共转染细胞体系的荧光素酶表达活性;实验还换用RXRα激动剂全反式维甲酸(ATRA)干预,以评价该细胞模型反应的特异性;并用贝特类降脂药苯扎贝特、环丙贝特、氯贝丁酯对建立的药物筛选细胞模型进行应用能力评价.结果 FCM检测共转染293T细胞phPPARα-IRES2-EGFP质粒转染效率为68%;DLR检测WY14643干预该hPPARα药物筛选模型获得了理想的量—效、时—效关系结果,且该模型不能通过RXRα配体激动剂ATRA激活.苯扎贝特、环丙贝特、氯贝丁酯干预模型均呈现良好的量—效反应性,且反应强度存在差异(P<0.05).结论 成功构建了基于hPPARα为靶标的药物筛选细胞模型,为筛选具有生物活性的hPPARα配体激动剂新药提供了一种可靠的新平台.%OBJECTIVE To establish a novel cell-based model for the screening of human PPARa agonist ligands. METHODS Recombinant plasmid phPPARa-IRES2-EGFP, firefly luciferase-containing report plasmid ptk-PPRE x3-luc and renilla luciferase-containing inner control plasmid pRL-CMV were co-transfected into 293T cells using lipofectamine 2000. The transfection efficiency of phPPARot-IRES2-EGFP was measured by flow cytometry (FCM). Dual-luciferase reporter assay (DLR) was used to detect the lucifer-ase activity of co-transfected 293T cells under concentration gradient at different time points of positive drug WY14643 intervention. Furthermore, WY14643 was replaced by all-trans-retinoic acid (ATRA) , a RXRa

  15. Literature mining for the discovery of hidden connections between drugs, genes and diseases.

    Science.gov (United States)

    Frijters, Raoul; van Vugt, Marianne; Smeets, Ruben; van Schaik, René; de Vlieg, Jacob; Alkema, Wynand

    2010-09-23

    The scientific literature represents a rich source for retrieval of knowledge on associations between biomedical concepts such as genes, diseases and cellular processes. A commonly used method to establish relationships between biomedical concepts from literature is co-occurrence. Apart from its use in knowledge retrieval, the co-occurrence method is also well-suited to discover new, hidden relationships between biomedical concepts following a simple ABC-principle, in which A and C have no direct relationship, but are connected via shared B-intermediates. In this paper we describe CoPub Discovery, a tool that mines the literature for new relationships between biomedical concepts. Statistical analysis using ROC curves showed that CoPub Discovery performed well over a wide range of settings and keyword thesauri. We subsequently used CoPub Discovery to search for new relationships between genes, drugs, pathways and diseases. Several of the newly found relationships were validated using independent literature sources. In addition, new predicted relationships between compounds and cell proliferation were validated and confirmed experimentally in an in vitro cell proliferation assay. The results show that CoPub Discovery is able to identify novel associations between genes, drugs, pathways and diseases that have a high probability of being biologically valid. This makes CoPub Discovery a useful tool to unravel the mechanisms behind disease, to find novel drug targets, or to find novel applications for existing drugs.

  16. Antifungal drug discovery: the process and outcomes.

    Science.gov (United States)

    Calderone, Richard; Sun, Nuo; Gay-Andrieu, Francoise; Groutas, William; Weerawarna, Pathum; Prasad, Sridhar; Alex, Deepu; Li, Dongmei

    2014-01-01

    New data suggest that the global incidence of several types of fungal diseases have traditionally been under-documented. Of these, mortality caused by invasive fungal infections remains disturbingly high, equal to or exceeding deaths caused by drug-resistant tuberculosis and malaria. It is clear that basic research on new antifungal drugs, vaccines and diagnostic tools is needed. In this review, we focus upon antifungal drug discovery including in vitro assays, compound libraries and approaches to target identification. Genome mining has made it possible to identify fungal-specific targets; however, new compounds to these targets are apparently not in the antimicrobial pipeline. We suggest that 'repurposing' compounds (off patent) might be a more immediate starting point. Furthermore, we examine the dogma on antifungal discovery and suggest that a major thrust in technologies such as structural biology, homology modeling and virtual imaging is needed to drive discovery. PMID:25046525

  17. Discovery, Characterization, and Dynamics of Transiting Exoplanets

    DEFF Research Database (Denmark)

    Van Eylen, Vincent

    2015-01-01

    Are we alone in the Universe? So far, the question remains unanswered, but a significant leap forward was achieved two decades ago, with the discovery of the first planets orbiting stars other than our Sun. Almost 2000 exoplanets have now been detected. They are diverse in radius, mass and orbital......, in this thesis I make use of the transit method, which is based on the observed brightness drop of a star as a planet crosses in front of it. This thesis consists of two parts. The first part focuses on the discovery of new planets and the understanding of exoplanet properties. I report the discovery...... results of this study, constraining the masses and bulk compositions of three planets. The second part of this thesis focuses on dynamics of exoplanets. All the solar system planets orbit in nearly the same plane, and that plane is also aligned with the equatorial plane of the Sun. That is not true...

  18. Penicillin: its discovery and early development.

    Science.gov (United States)

    Ligon, B Lee

    2004-01-01

    In August 1928, Alexander Fleming returned from a vacation to his usually messy, disordered laboratory. In one of the Petri dishes that had not been touched by the Lysol, he noticed an unusual phenomenon: separate colonies of staphylococci and, near the dish's edge, a colony of mold approximately 20 mm in diameter. The finding proved to be a watershed in the history of medicine. This discovery lay dormant for some time before other researchers took up the challenge to investigate its clinical possibilities. Two investigators at Oxford, Sir Howard Walter Florey and Ernst Boris Chain, brought penicillin's potential for medical use to fruition and, along with Fleming, shared the 1945 Nobel Prize for Medicine. The discovery and development of penicillin represent one of the most important developments in the annals of medical history. This article presents a brief overview of the events that occurred in the progress from discovery to implementation as a therapeutic agent. PMID:15175995

  19. Virtual drug discovery: beyond computational chemistry?

    Science.gov (United States)

    Gilardoni, Francois; Arvanites, Anthony C

    2010-02-01

    This editorial looks at how a fully integrated structure that performs all aspects in the drug discovery process, under one company, is slowly disappearing. The steps in the drug discovery paradigm have been slowly increasing toward virtuality or outsourcing at various phases of product development in a company's candidate pipeline. Each step in the process, such as target identification and validation and medicinal chemistry, can be managed by scientific teams within a 'virtual' company. Pharmaceutical companies to biotechnology start-ups have been quick in adopting this new research and development business strategy in order to gain flexibility, access the best technologies and technical expertise, and decrease product developmental costs. In today's financial climate, the term virtual drug discovery has an organizational meaning. It represents the next evolutionary step in outsourcing drug development.

  20. Discovery and design of nuclear fuels

    Directory of Open Access Journals (Sweden)

    Marius Stan

    2009-11-01

    Full Text Available To facilitate the discovery and design of innovative nuclear fuels, multi-scale models and simulations are used to predict irradiation effects on properties such as thermal conductivity, oxygen diffusivity, and thermal expansion. The multi-scale approach is illustrated using results on ceramic fuels, with a focus on predictions of point defect concentration, stoichiometry, and phase stability. The high performance computer simulations include coupled heat transport, diffusion, and thermal expansion, and gas bubble formation and evolution in a fuel element consisting of UO2 fuel and metallic cladding. The second part of the paper is dedicated to a discussion of an international strategy for developing advanced, innovative nuclear fuels. Four initiatives are proposed to accelerate the discovery and design of new materials: (a Create Institutes for Materials Discovery and Design, (b Create an International Knowledgebase for experimental data, models (mathematical expressions, and simulations (codes, (c Improve education and (d Set up international collaborations.

  1. Discovery of a novel anti-cancer agent targeting both topoisomerase I and II in hepatocellular carcinoma Hep 3B cells in vitro and in vivo: Cinnamomum verum component 2-methoxycinnamaldehyde.

    Science.gov (United States)

    Perng, Daw-Shyong; Tsai, Yu-Hsin; Cherng, Jonathan; Kuo, Chih-Wei; Shiao, Chih-Chung; Cherng, Jaw-Ming

    2016-08-01

    Cinnamomum verum has been used as a traditional Chinese herbal medicine. We evaluated the anticancer effect of 2-methoxycinnamaldehyde (2-MCA), a constituent of the bark of the plant, in hepatocellular carcinoma Hep 3B cells. The results show that 2-MCA suppressed proliferation and induced apoptosis as indicated by an up-regulation of pro-apoptotic bax and bak genes and down-regulation of anti-apoptotic bcl-2 and bcl-XL genes, mitochondrial membrane potential loss, cytochrome c release, activation of caspase 3 and 9, increase in the DNA content in sub G1, and morphological characteristics of apoptosis. 2-MCA also induced lysosomal vacuolation with increased volume of acidic compartments (VAC), suppressions of nuclear transcription factors NF-κB, cyclooxygenase-2 (COX-2), prostaglandin E2 (PGE2), and both topoisomerase I and II activities in a dose-dependent manner. Further study reveals the growth-inhibitory effect of 2-MCA was also evident in a nude mice model. Taken together, the data suggest that the growth-inhibitory effect of 2-MCA against Hep 3B cells is accompanied by downregulations of NF-κB binding activity, inflammatory responses involving COX-2 and PGE2, and proliferative control involving apoptosis, both topoisomerase I and II activities, together with an upregulation of lysosomal vacuolation and VAC. Our data suggest that 2-MCA could be a potential agent for anticancer therapy. PMID:26707867

  2. Systematic discovery of new recognition peptides mediating protein interaction networks

    DEFF Research Database (Denmark)

    Neduva, Victor; Linding, Rune; Su-Angrand, Isabelle;

    2005-01-01

    Many aspects of cell signalling, trafficking, and targeting are governed by interactions between globular protein domains and short peptide segments. These domains often bind multiple peptides that share a common sequence pattern, or "linear motif" (e.g., SH3 binding to PxxP). Many domains...... molecular details of how interaction networks are constructed, and can explain how one protein is able to bind to very different partners. Here we show that binding motifs can be detected using data from genome-scale interaction studies, and thus avoid the normally slow discovery process. Our approach based...... that binds Translin with a KD of 43 microM. We estimate that there are dozens or even hundreds of linear motifs yet to be discovered that will give molecular insight into protein networks and greatly illuminate cellular processes.Many aspects of cell signalling, trafficking, and targeting are governed...

  3. Drug to genome to drug: discovery of new antiplasmodial compounds.

    Science.gov (United States)

    Beghyn, Terence B; Charton, Julie; Leroux, Florence; Laconde, Guillaume; Bourin, Arnaud; Cos, Paul; Maes, Louis; Deprez, Benoit

    2011-05-12

    The dominant strategy for discovery of new antimalarial drugs relies on cell-free assays on specific biochemical pathways of Plasmodium falciparum . However, it appears that screening directly on the parasite is a more rewarding approach. The "drug to genome to drug" approach consists of testing a small set of structural analogues of a drug acting on human proteins that have plasmodial orthologues. Both man and plasmodium possess cyclic nucleotide phosphodiesterases (PDEs) that are key players of cell homeostasis. We synthesized and tested 40 analogues of tadalafil, a human PDE5 inhibitor, on P. falciparum in culture and obtained potent inhibitors of parasite growth. We discuss the structure-activity relationships, which support the hypothesis that our compounds kill the parasite via inhibition of plasmodial PDE activity. We also prove that antiplasmodial derivatives inhibit the hydrolysis of cyclic nucleotides of the parasite, validating the cAMP/cGMP pathways as therapeutic targets against Plasmodium falciparum.

  4. Discovery stories in the science classroom

    Science.gov (United States)

    Arya, Diana Jaleh

    School science has been criticized for its lack of emphasis on the tentative, dynamic nature of science as a process of learning more about our world. This criticism is the guiding force for this present body of work, which focuses on the question: what are the educational benefits for middle school students of reading texts that highlight the process of science in the form of a discovery narrative? This dissertation traces my journey through a review of theoretical perspectives of narrative, an analysis of first-hand accounts of scientific discovery, the complex process of developing age-appropriate, cohesive and engaging science texts for middle school students, and a comparison study (N=209) that seeks to determine the unique benefits of the scientific discovery narrative for the interest in and retained understanding of conceptual information presented in middle school science texts. A total of 209 middle school participants in nine different classrooms from two different schools participated in the experimental study. Each subject read two science texts that differed in topic (the qualities of and uses for radioactive elements and the use of telescopic technology to see planets in space) and genre (the discovery narrative and the "conceptually known exposition" comparison text). The differences between the SDN and CKE versions for each topic were equivalent in all possible ways (initial introduction, overall conceptual accuracy, elements of human interest, coherence and readability level), save for the unique components of the discovery narrative (i.e., love for their work, acknowledgement of the known, identification of the unknown and the explorative or experimental process to discovery). Participants generally chose the discovery narrative version as the more interesting of the two texts. Additional findings from the experimental study suggest that science texts in the form of SDNs elicit greater long-term retention of key conceptual information, especially

  5. Opportunities for isotope discoveries at FRIB

    Science.gov (United States)

    Baumann, T.; Hausmann, M.; Sherrill, B. M.; Tarasov, O. B.

    2016-06-01

    Expected production yields of the Facility for Rare Isotope Beams (FRIB) were calculated for a wide range of rare isotopes using the code LISE++ and planned performance parameters (Tarasov and Bazin, 2008; Bollen et al., 2011 [2]). A comparison between isotope discoveries of the last decade and expected particle yields indicates the range of isotopes that can likely be detected at FRIB. This paper will highlight recent isotope discoveries at NSCL's Coupled Cyclotron Facility and deduce how far the limits could be pushed with the Facility for Rare Isotope Beams.

  6. An environment for knowledge discovery in biology.

    Science.gov (United States)

    Barrera, Junior; Cesar, Roberto M; Ferreira, João E; Gubitoso, Marco D

    2004-07-01

    This paper describes a data mining environment for knowledge discovery in bioinformatics applications. The system has a generic kernel that implements the mining functions to be applied to input primary databases, with a warehouse architecture, of biomedical information. Both supervised and unsupervised classification can be implemented within the kernel and applied to data extracted from the primary database, with the results being suitably stored in a complex object database for knowledge discovery. The kernel also includes a specific high-performance library that allows designing and applying the mining functions in parallel machines. The experimental results obtained by the application of the kernel functions are reported.

  7. On the 1932 Discovery of the Positron.

    OpenAIRE

    Lawncizak, Alexander; Åsbrink, Victor

    2014-01-01

    An experiment on Cosmic rays performed by Carl D Anderson led to the accidental discovery of the positron in 1932. The discovery was a turning point in particle physics which led to numerous other theories and has been discussed by scientists all over the world. Anderson had photographed a 63 MeV, upward moving electron. The possible origin of such a positron has never before been discussed and is what this report will aim to explain. The report will include some evidence that the particle is...

  8. What's new, Voyager: The discoveries continue

    Science.gov (United States)

    Miner, Ellis D.

    1995-01-01

    The twin Voyager spacecraft, launched nearly two decades ago, continue to operate and are now searching for the edge of our solar system, the heliopause. Voyager's giant-planet flybys of Jupiter, Saturn, Uranus, and Neptune have provided data that are likely to remain the definitive data set for the foreseeable future and have led to many ongoing discoveries. As the spacecraft move toward the heliopause, they are also providing data on the structure of the heliosphere. This article discusses the discoveries resulting from the flyby and heliosphere data that have been made within the past five years.

  9. Stable Feature Selection for Biomarker Discovery

    CERN Document Server

    He, Zengyou

    2010-01-01

    Feature selection techniques have been used as the workhorse in biomarker discovery applications for a long time. Surprisingly, the stability of feature selection with respect to sampling variations has long been under-considered. It is only until recently that this issue has received more and more attention. In this article, we review existing stable feature selection methods for biomarker discovery using a generic hierarchal framework. We have two objectives: (1) providing an overview on this new yet fast growing topic for a convenient reference; (2) categorizing existing methods under an expandable framework for future research and development.

  10. Droplet Microfluidics for Virus Discovery

    Science.gov (United States)

    Rotem, Assaf; Cockrell, Shelley; Guo, Mira; Pipas, James; Weitz, David

    2012-02-01

    The ability to detect, isolate, and characterize an infectious agent is important for diagnosing and curing infectious diseases. Detecting new viral diseases is a challenge because the number of virus particles is often low and/or localized to a small subset of cells. Even if a new virus is detected, it is difficult to isolate it from clinical or environmental samples where multiple viruses are present each with very different properties. Isolation is crucial for whole genome sequencing because reconstructing a genome from fragments of many different genomes is practically impossible. We present a Droplet Microfluidics platform that can detect, isolate and sequence single viral genomes from complex samples containing mixtures of many viruses. We use metagenomic information about the sample of mixed viruses to select a short genomic sequence whose genome we are interested in characterizing. We then encapsulate single virions from the same sample in picoliter volume droplets and screen for successful PCR amplification of the sequence of interest. The selected drops are pooled and their contents sequenced to reconstruct the genome of interest. This method provides a general tool for detecting, isolating and sequencing genetic elements in clinical and environmental samples.

  11. Recent discoveries of influenza A drug target sites to combat virus replication.

    Science.gov (United States)

    Patel, Hershna; Kukol, Andreas

    2016-06-15

    Sequence variations in the binding sites of influenza A proteins are known to limit the effectiveness of current antiviral drugs. Clinically, this leads to increased rates of virus transmission and pathogenicity. Potential influenza A inhibitors are continually being discovered as a result of high-throughput cell based screening studies, whereas the application of computational tools to aid drug discovery has further increased the number of predicted inhibitors reported. This review brings together the aspects that relate to the identification of influenza A drug target sites and the findings from recent antiviral drug discovery strategies. PMID:27284062

  12. Antibody Discovery Ex Vivo Accelerated by the LacO/LacI Regulatory Network

    OpenAIRE

    Munehisa Yabuki; W Jason Cummings; Leppard, John B.; Immormino, Robert M.; Christi L Wood; Daniel S Allison; Gray, Patrick W.; Tjoelker, Larry W; Nancy Maizels

    2012-01-01

    Monoclonal antibodies (mAbs) can be potent and highly specific therapeutics, diagnostics and research reagents. Nonetheless, mAb discovery using current in vivo or in vitro approaches can be costly and time-consuming, with no guarantee of success. We have established a platform for rapid discovery and optimization of mAbs ex vivo. This DTLacO platform derives from a chicken B cell line that has been engineered to enable rapid selection and seamless maturation of high affinity mAbs. We have va...

  13. A classification of service discovery protocols

    NARCIS (Netherlands)

    Marin Perianu, Raluca; Hartel, Pieter; Scholten, Hans

    2005-01-01

    Service discovery is an emerging field in the area of ubiquitous computing. There are various techniques and protocols (proposed or/and already implemented) particularly tailored to specific sets of objectives. This paper analyses the current state of the art and presents a taxonomy of service disco

  14. 36 CFR 1150.63 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Discovery. 1150.63 Section 1150.63 Parks, Forests, and Public Property ARCHITECTURAL AND TRANSPORTATION BARRIERS COMPLIANCE BOARD... satisfactory to the judge, the judge may decide the fact or issue relating to the material requested to...

  15. Scheele's Priority for the Discovery of Oxygen

    Science.gov (United States)

    Cassebaum, H.; Schufle, J. A.

    1975-01-01

    Concludes that Carl Scheele first observed oxygen and clearly understood what he was observing in June 1771, when he heated manganese dioxide with concentrated sulfuric acid. This was more than three years before Lavoisier or Priestley (who is usually credited with the discovery of oxygen) made similar observations. (Author/MLH)

  16. Discovery – Methotrexate: Chemotherapy Treatment for Cancer

    Science.gov (United States)

    Prior to the 1950s, treatment for the majority of cancers was limited to either surgery or the use of radiation. The discovery of the use of methotrexate in curing a rare cancer marked the first time a cancer had been cured. This led to the development of many of today’s common cancer treatments.

  17. Aztec Mexico: Discovery of Templo Mayor.

    Science.gov (United States)

    Breslav, Marc

    1982-01-01

    Describes the Aztec archaeological artifacts shown in the American Museum of Natural History exhibit: "Aztec Mexico: Discovery of Templo Mayor." More than 100 objects, ranging from human skulls to jewelry, found in the excavation of the Great Temple of Mexico located under the center of Mexico City, were displayed. (AM)

  18. OPTIMIZED GATEWAY DISCOVERY IN HYBRID MANETS

    Directory of Open Access Journals (Sweden)

    A.Triviño

    2009-10-01

    Full Text Available Mobile users are expected to demand access to the Internet anywhere and anytime. In a MANET context,a device which is about to connect to external hosts needs the route to the element which communicatesthe MANET with the Internet. This element is the Internet Gateway. To inform about its presence as wellas about some configuration parameters, the Gateway sends MRA messages. In a similar way to ad hocrouting protocols, the Gateway can generate the messages on demand (reactively, periodically(proactively or combining both previous strategies in a hybrid gateway discovery. Specifically, in thehybrid gateway discovery, the Gateway periodically sends the MRA messages in a restricted area. Thenodes that are outside this area demand the Gateway information reactively. This gateway discoveryrequires the setting of the number of hops that define the proactive area, also called the TTL value.Network performance can be improved when the Gateway uses information such as the position of thesources to adjust the TTL value. In this paper, we transfer the decision about the dimensions of theproactive zone to the mobile nodes so more network conditions are taken into account. Simulation resultsshow that the proposed gateway discovery outperforms other hybrid gateway discovery schemes.

  19. Knowledge Discovery from Communication Network Alarm Databases

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The technique of Knowledge Discovery in Databases(KDD) to learn valuable knowledge hidden in network alarm databases is introduced. To get such knowledge, we propose an efficient method based on sliding windows (named as Slidwin) to discover different episode rules from time sequential alarm data. The experimental results show that given different thresholds parameters, large amount of different rules could be discovered quickly.

  20. 42 CFR 426.532 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 3 2010-10-01 2010-10-01 false Discovery. 426.532 Section 426.532 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICARE PROGRAM REVIEW OF NATIONAL COVERAGE DETERMINATIONS AND LOCAL COVERAGE DETERMINATIONS Review of an...

  1. 42 CFR 426.432 - Discovery.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 3 2010-10-01 2010-10-01 false Discovery. 426.432 Section 426.432 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICARE PROGRAM REVIEW OF NATIONAL COVERAGE DETERMINATIONS AND LOCAL COVERAGE DETERMINATIONS Review of an...

  2. Milestones in Cancer Research and Discovery

    Science.gov (United States)

    During the past 250 years, we have witnessed many landmark discoveries in our efforts to make progress against cancer, an affliction known to humanity for thousands of years. This timeline shows a few key milestones in the history of cancer research.

  3. 10 CFR 2.1018 - Discovery.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Discovery. 2.1018 Section 2.1018 Energy NUCLEAR REGULATORY... legal theories of an attorney or other representative of a party, potential party, or interested... section does not apply to requests for the testimony of the NRC regulatory staff under § 2.709. (g)...

  4. The Discovery and Progress of AIDS

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    @@ 1 The Discovery It is a modern plague: the first great pandemic ofthe second half of the 20th century. The plat, clinic-sounding name given to the disease by epidemiolo-gists- acquired immune deficiency syndrome- hasbeen shortened to AIDS.

  5. Behind the discovery of "Nissenbaum's fixative".

    Science.gov (United States)

    Nissenbaum, G

    2001-01-01

    The author describes the serendipitous discovery, conception, development, and history of Nissenbaum's Fixative while an undergraduate biology major in the early 1950s. The subsequent uses, applications, and modifications over the past forty-seven years are also described. Some of the modifications omitted from his short original paper are mentioned. Highlights of his subsequent career in the field of medicine are noted.

  6. Applying genetics in inflammatory disease drug discovery

    DEFF Research Database (Denmark)

    Folkersen, Lasse; Biswas, Shameek; Frederiksen, Klaus Stensgaard;

    2015-01-01

    , with several notable exceptions, the journey from a small-effect genetic variant to a functional drug has proven arduous, and few examples of actual contributions to drug discovery exist. Here, we discuss novel approaches of overcoming this hurdle by using instead public genetics resources as a pragmatic guide...

  7. Computational approaches to natural product discovery

    NARCIS (Netherlands)

    Medema, M.H.; Fischbach, M.A.

    2015-01-01

    Starting with the earliest Streptomyces genome sequences, the promise of natural product genome mining has been captivating: genomics and bioinformatics would transform compound discovery from an ad hoc pursuit to a high-throughput endeavor. Until recently, however, genome mining has advanced natura

  8. Knowledge discovery data and text mining

    CERN Document Server

    Olmer, Petr

    2008-01-01

    Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge discovery and extraction. Basic de nitions are given together with the description of a standard data mining process. Common models and algorithms are presented. Attention is given to text clustering, how to convert unstructured text to structured data (vectors), and how to compute their importance and position within clusters.

  9. Discovery of the Isotopes with Z <= 10

    OpenAIRE

    Thoennessen, M

    2010-01-01

    A total of 126 isotopes with Z $\\le$ 10 have been identified to date. The discovery of these isotopes which includes the observation of unbound nuclei, is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.

  10. Data mining and knowledge discovery handbook

    CERN Document Server

    Maimon, Oded

    2010-01-01

    This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

  11. Data mining and knowledge discovery handbook

    CERN Document Server

    Maimon, Oded

    2006-01-01

    Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.

  12. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    Energy Technology Data Exchange (ETDEWEB)

    None

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  13. Toward discovery science of human brain function.

    NARCIS (Netherlands)

    Biswal, B.B.; Mennes, M.; Zuo, X.N.; Gohel, S.; Kelly, C.; Smith, S.M.; Beckmann, C.F.; Adelstein, J.S.; Buckner, R.L.; Colcombe, S.; Dogonowski, A.M.; Ernst, M.; Fair, D.; Hampson, M.; Hoptman, M.J.; Hyde, J.S.; Kiviniemi, V.J.; Kotter, R.; Li, S.J.; Lin, C.P.; Lowe, M.J.; Mackay, C.; Madden, D.J.; Madsen, K.H.; Margulies, D.S.; Mayberg, H.S.; McMahon, K.; Monk, C.S.; Mostofsky, S.H.; Nagel, B.J.; Pekar, J.J.; Peltier, S.J.; Petersen, S.E.; Riedl, V.; Rombouts, S.A.; Rypma, B.; Schlaggar, B.L.; Schmidt, S.; Seidler, R.D.; Siegle, G.J.; Sorg, C.; Teng, G.J.; Veijola, J.; Villringer, A.; Walter, M.; Wang, L.; Weng, X.C.; Whitfield-Gabrieli, S.; Williamson, P.; Windischberger, C.; Zang, Y.F.; Zhang, H.Y.; Castellanos, F.X.; Milham, M.P.

    2010-01-01

    Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a pr

  14. Neutrino discoveries lead to precision measurements

    CERN Document Server

    Altmann, M

    2002-01-01

    The science of neutrino physics has reached a watershed, with discovery giving way to precision measurements. The author reports from the XXth International Conference on Neutrino Physics and Astrophysics. Topics covered are low-energy neutrinos, atmospheric neutrinos, long-baseline experiments, accelerator experiments, neutrino properties, neutrinos in astrophysics and cosmology, dark matter and neutrino telescopes.

  15. (Self-) Discovery Service: Helping Students Help Themselves

    Science.gov (United States)

    Debonis, Rocco; O'Donnell, Edward; Thomes, Cynthia

    2012-01-01

    EBSCO Discovery Service (EDS) has been heavily used by UMUC students since its implementation in fall 2011, but experience has shown that it is not always the most appropriate source for satisfying students' information needs and that they often need assistance in understanding how the tool works and how to use it effectively. UMUC librarians have…

  16. 31 CFR 10.71 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... 31 Money and Finance: Treasury 1 2010-07-01 2010-07-01 false Discovery. 10.71 Section 10.71 Money and Finance: Treasury Office of the Secretary of the Treasury PRACTICE BEFORE THE INTERNAL REVENUE... law; (7) The material sought relates to mental impressions, conclusions, or legal theories of...

  17. Discovery of convoys in trajectory databases

    DEFF Research Database (Denmark)

    Jeung, Hoyoung; Yiu, Man Lung; Zhou, Xiaofang;

    2008-01-01

    of trucks and carpooling of vehicles. Although there has been extensive research on trajectories in the literature, none of this can be applied to retrieve correctly exact convoy result sets. Motivated by this, we develop three efficient algorithms for convoy discovery that adopt the well-known filter...

  18. 41 CFR 105-70.021 - Discovery.

    Science.gov (United States)

    2010-07-01

    ... 41 Public Contracts and Property Management 3 2010-07-01 2010-07-01 false Discovery. 105-70.021 Section 105-70.021 Public Contracts and Property Management Federal Property Management Regulations System..., papers, and other data and documentary evidence. Nothing contained herein shall be interpreted to...

  19. 40 CFR 164.51 - Other discovery.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 23 2010-07-01 2010-07-01 false Other discovery. 164.51 Section 164.51... GOVERNING HEARINGS, UNDER THE FEDERAL INSECTICIDE, FUNGICIDE, AND RODENTICIDE ACT, ARISING FROM REFUSALS TO... OTHER HEARINGS CALLED PURSUANT TO SECTION 6 OF THE ACT General Rules of Practice Concerning...

  20. Computer-Assisted Discovery and Proof

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, David H.; Borwein, Jonathan M.

    2007-12-10

    With the advent of powerful, widely-available mathematical software, combined with ever-faster computer hardware, we are approaching a day when both the discovery and proof of mathematical facts can be done in a computer-assisted manner. his article presents several specific examples of this new paradigm in action.

  1. Swedish Chemists and Discovery of the Elements

    Science.gov (United States)

    Thomsen, Volker

    1996-10-01

    All of the elements not already known from antiquity were discovered in Europe and North America. So which country ranks number one on the discovery list? The question occurred to me while leafing through reference 1 in search of thermodynamic data on silicon. Never having seen such a tabulation, I wondered if it might prove useful in teaching. The question has a sports-related flavor that will appeal to many students. Personally, I picked England or Germany for #1. The actual result is surprising. The ranking considering only up to atomic number 103 is as follows: Note: Where two or more independent discoveries have been made, each country is credited. In the "others" category Austria and Denmark each has two discoveries. The remaining countries, with one each, are Finland, Italy, Mexico, Poland, Romania, Russia, and Spain. The high place for the USA is primarily due to the work done at Berkeley and Los Alamos on the transuranics. Without these discoveries, the US would have tied with Switzerland at three elements. Perhaps the most interesting aspect of this tabulation is that Swedish chemists have discovered the most elements. Four chemists alone account for twelve of the 20 discoveries: Baron Jöns Jakob Berzelius (1779-1848) is credited with four elements. His pupil, friend, and assistant, Carl Gustav Mosander (1797-1858) discovered three. P. T. Cleve also found three elements and Karl Wilhelm Scheele (1742-1786) discovered two. Biographical research on the Swedish chemists is a suitable assignment at the introductory level. Reasons for the predominance of Swedish chemists presents a challenging student research topic in the history of chemistry. Another interesting question at the introductory level is, transuranics aside, who discovered the most elements? At the more advanced level the question becomes, why? Literature Cited: 1. Emsley, J. The Elements; Clarendon: Oxford, 1989.

  2. Discovery in a World of Mashups

    Science.gov (United States)

    King, T. A.; Ritschel, B.; Hourcle, J. A.; Moon, I. S.

    2014-12-01

    When the first digital information was stored electronically, discovery of what existed was through file names and the organization of the file system. With the advent of networks, digital information was shared on a wider scale, but discovery remained based on file and folder names. With a growing number of information sources, named based discovery quickly became ineffective. The keyword based search engine was one of the first types of a mashup in the world of Web 1.0. Embedded links from one document to another with prescribed relationships between files and the world of Web 2.0 was formed. Search engines like Google used the links to improve search results and a worldwide mashup was formed. While a vast improvement, the need for semantic (meaning rich) discovery was clear, especially for the discovery of scientific data. In response, every science discipline defined schemas to describe their type of data. Some core schemas where shared, but most schemas are custom tailored even though they share many common concepts. As with the networking of information sources, science increasingly relies on data from multiple disciplines. So there is a need to bring together multiple sources of semantically rich information. We explore how harvesting, conceptual mapping, facet based search engines, search term promotion, and style sheets can be combined to create the next generation of mashups in the emerging world of Web 3.0. We use NASA's Planetary Data System and NASA's Heliophysics Data Environment to illustrate how to create a multi-discipline mash-up.

  3. Inseparability of science history and discovery

    Directory of Open Access Journals (Sweden)

    J. M. Herndon

    2010-04-01

    Full Text Available Science is very much a logical progression through time. Progressing along a logical path of discovery is rather like following a path through the wilderness. Occasionally the path splits, presenting a choice; the correct logical interpretation leads to further progress, the wrong choice leads to confusion. By considering deeply the relevant science history, one might begin to recognize past faltering in the logical progression of observations and ideas and, perhaps then, to discover new, more precise understanding. The following specific examples of science faltering are described from a historical perspective: (1 Composition of the Earth's inner core; (2 Giant planet internal energy production; (3 Physical impossibility of Earth-core convection and Earth-mantle convection, and; (4 Thermonuclear ignition of stars. For each example, a revised logical progression is described, leading, respectively, to: (1 Understanding the endo-Earth's composition; (2 The concept of nuclear georeactor origin of geo- and planetary magnetic fields; (3 The invalidation and replacement of plate tectonics; and, (4 Understanding the basis for the observed distribution of luminous stars in galaxies. These revised logical progressions clearly show the inseparability of science history and discovery. A different and more fundamental approach to making scientific discoveries than the frequently discussed variants of the scientific method is this: An individual ponders and through tedious efforts arranges seemingly unrelated observations into a logical sequence in the mind so that causal relationships become evident and new understanding emerges, showing the path for new observations, for new experiments, for new theoretical considerations, and for new discoveries. Science history is rich in "seemingly unrelated observations" just waiting to be logically and causally related to reveal new discoveries.

  4. Genetics of rheumatoid arthritis contributes to biology and drug discovery

    Science.gov (United States)

    Okada, Yukinori; Wu, Di; Trynka, Gosia; Raj, Towfique; Terao, Chikashi; Ikari, Katsunori; Kochi, Yuta; Ohmura, Koichiro; Suzuki, Akari; Yoshida, Shinji; Graham, Robert R.; Manoharan, Arun; Ortmann, Ward; Bhangale, Tushar; Denny, Joshua C.; Carroll, Robert J.; Eyler, Anne E.; Greenberg, Jeffrey D.; Kremer, Joel M.; Pappas, Dimitrios A.; Jiang, Lei; Yin, Jian; Ye, Lingying; Su, Ding-Feng; Yang, Jian; Xie, Gang; Keystone, Ed; Westra, Harm-Jan; Esko, Tõnu; Metspalu, Andres; Zhou, Xuezhong; Gupta, Namrata; Mirel, Daniel; Stahl, Eli A.; Diogo, Dorothée; Cui, Jing; Liao, Katherine; Guo, Michael H.; Myouzen, Keiko; Kawaguchi, Takahisa; Coenen, Marieke J.H.; van Riel, Piet L.C.M.; van de Laar, Mart A.F.J.; Guchelaar, Henk-Jan; Huizinga, Tom W.J.; Dieudé, Philippe; Mariette, Xavier; Bridges, S. Louis; Zhernakova, Alexandra; Toes, Rene E.M.; Tak, Paul P.; Miceli-Richard, Corinne; Bang, So-Young; Lee, Hye-Soon; Martin, Javier; Gonzalez-Gay, Miguel A.; Rodriguez-Rodriguez, Luis; Rantapää-Dahlqvist, Solbritt; Ärlestig, Lisbeth; Choi, Hyon K.; Kamatani, Yoichiro; Galan, Pilar; Lathrop, Mark; Eyre, Steve; Bowes, John; Barton, Anne; de Vries, Niek; Moreland, Larry W.; Criswell, Lindsey A.; Karlson, Elizabeth W.; Taniguchi, Atsuo; Yamada, Ryo; Kubo, Michiaki; Liu, Jun S.; Bae, Sang-Cheol; Worthington, Jane; Padyukov, Leonid; Klareskog, Lars; Gregersen, Peter K.; Raychaudhuri, Soumya; Stranger, Barbara E.; De Jager, Philip L.; Franke, Lude; Visscher, Peter M.; Brown, Matthew A.; Yamanaka, Hisashi; Mimori, Tsuneyo; Takahashi, Atsushi; Xu, Huji; Behrens, Timothy W.; Siminovitch, Katherine A.; Momohara, Shigeki; Matsuda, Fumihiko; Yamamoto, Kazuhiko; Plenge, Robert M.

    2013-01-01

    A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological datasets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA)1. Here, we performed a genome-wide association study (GWAS) meta-analysis in a total of >100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating ~10 million single nucleotide polymorphisms (SNPs). We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 1012–4. We devised an in-silico pipeline using established bioinformatics methods based on functional annotation5, cis-acting expression quantitative trait loci (cis-eQTL)6, and pathway analyses7–9 – as well as novel methods based on genetic overlap with human primary immunodeficiency (PID), hematological cancer somatic mutations and knock-out mouse phenotypes – to identify 98 biological candidate genes at these 101 risk loci. We demonstrate that these genes are the targets of approved therapies for RA, and further suggest that drugs approved for other indications may be repurposed for the treatment of RA. Together, this comprehensive genetic study sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis, and provides empirical evidence that the genetics of RA can provide important information for drug discovery. PMID:24390342

  5. Genetics of rheumatoid arthritis contributes to biology and drug discovery.

    Science.gov (United States)

    Okada, Yukinori; Wu, Di; Trynka, Gosia; Raj, Towfique; Terao, Chikashi; Ikari, Katsunori; Kochi, Yuta; Ohmura, Koichiro; Suzuki, Akari; Yoshida, Shinji; Graham, Robert R; Manoharan, Arun; Ortmann, Ward; Bhangale, Tushar; Denny, Joshua C; Carroll, Robert J; Eyler, Anne E; Greenberg, Jeffrey D; Kremer, Joel M; Pappas, Dimitrios A; Jiang, Lei; Yin, Jian; Ye, Lingying; Su, Ding-Feng; Yang, Jian; Xie, Gang; Keystone, Ed; Westra, Harm-Jan; Esko, Tõnu; Metspalu, Andres; Zhou, Xuezhong; Gupta, Namrata; Mirel, Daniel; Stahl, Eli A; Diogo, Dorothée; Cui, Jing; Liao, Katherine; Guo, Michael H; Myouzen, Keiko; Kawaguchi, Takahisa; Coenen, Marieke J H; van Riel, Piet L C M; van de Laar, Mart A F J; Guchelaar, Henk-Jan; Huizinga, Tom W J; Dieudé, Philippe; Mariette, Xavier; Bridges, S Louis; Zhernakova, Alexandra; Toes, Rene E M; Tak, Paul P; Miceli-Richard, Corinne; Bang, So-Young; Lee, Hye-Soon; Martin, Javier; Gonzalez-Gay, Miguel A; Rodriguez-Rodriguez, Luis; Rantapää-Dahlqvist, Solbritt; Arlestig, Lisbeth; Choi, Hyon K; Kamatani, Yoichiro; Galan, Pilar; Lathrop, Mark; Eyre, Steve; Bowes, John; Barton, Anne; de Vries, Niek; Moreland, Larry W; Criswell, Lindsey A; Karlson, Elizabeth W; Taniguchi, Atsuo; Yamada, Ryo; Kubo, Michiaki; Liu, Jun S; Bae, Sang-Cheol; Worthington, Jane; Padyukov, Leonid; Klareskog, Lars; Gregersen, Peter K; Raychaudhuri, Soumya; Stranger, Barbara E; De Jager, Philip L; Franke, Lude; Visscher, Peter M; Brown, Matthew A; Yamanaka, Hisashi; Mimori, Tsuneyo; Takahashi, Atsushi; Xu, Huji; Behrens, Timothy W; Siminovitch, Katherine A; Momohara, Shigeki; Matsuda, Fumihiko; Yamamoto, Kazuhiko; Plenge, Robert M

    2014-02-20

    A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA). Here we performed a genome-wide association study meta-analysis in a total of >100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating ∼10 million single-nucleotide polymorphisms. We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 101 (refs 2 - 4). We devised an in silico pipeline using established bioinformatics methods based on functional annotation, cis-acting expression quantitative trait loci and pathway analyses--as well as novel methods based on genetic overlap with human primary immunodeficiency, haematological cancer somatic mutations and knockout mouse phenotypes--to identify 98 biological candidate genes at these 101 risk loci. We demonstrate that these genes are the targets of approved therapies for RA, and further suggest that drugs approved for other indications may be repurposed for the treatment of RA. Together, this comprehensive genetic study sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis, and provides empirical evidence that the genetics of RA can provide important information for drug discovery. PMID:24390342

  6. Amyotrophic Lateral Sclerosis: An Emerging Era of Collaborative Gene Discovery

    Science.gov (United States)

    Gwinn, Katrina; Corriveau, Roderick A.; Mitsumoto, Hiroshi; Bednarz, Kate; Brown, Robert H.; Cudkowicz, Merit; Gordon, Paul H.; Hardy, John; Kasarskis, Edward J.; Kaufmann, Petra; Miller, Robert; Sorenson, Eric; Tandan, Rup; Traynor, Bryan J.; Nash, Josefina; Sherman, Alex; Mailman, Matthew D.; Ostell, James; Bruijn, Lucie; Cwik, Valerie; Rich, Stephen S.; Singleton, Andrew; Refolo, Larry; Andrews, Jaime; Zhang, Ran; Conwit, Robin; Keller, Margaret A.

    2007-01-01

    Amyotrophic lateral sclerosis (ALS) is the most common form of motor neuron disease (MND). It is currently incurable and treatment is largely limited to supportive care. Family history is associated with an increased risk of ALS, and many Mendelian causes have been discovered. However, most forms of the disease are not obviously familial. Recent advances in human genetics have enabled genome-wide analyses of single nucleotide polymorphisms (SNPs) that make it possible to study complex genetic contributions to human disease. Genome-wide SNP analyses require a large sample size and thus depend upon collaborative efforts to collect and manage the biological samples and corresponding data. Public availability of biological samples (such as DNA), phenotypic and genotypic data further enhances research endeavors. Here we discuss a large collaboration among academic investigators, government, and non-government organizations which has created a public repository of human DNA, immortalized cell lines, and clinical data to further gene discovery in ALS. This resource currently maintains samples and associated phenotypic data from 2332 MND subjects and 4692 controls. This resource should facilitate genetic discoveries which we anticipate will ultimately provide a better understanding of the biological mechanisms of neurodegeneration in ALS. PMID:18060051

  7. New Hepatitis C Virus Drug Discovery Strategies and Model Systems

    Science.gov (United States)

    Hussain, Snawar; Barretto, Naina; Uprichard, Susan L

    2013-01-01

    Introduction Hepatitis C virus is a major cause of liver disease worldwide and the leading indication for liver transplantation in the United States. Current treatment options are expensive, not effective in all patients and are associated with serious side effects. While pre-clinical anti-HCV drug screening is still hampered by the lack of readily infectable small animal models, the development of cell culture HCV experimental model systems has driven a promising new wave of HCV antiviral drug discovery. Areas covered This review contains a concise overview of current HCV treatment options and limitations with a subsequent in-depth focus on the available experimental models and novel strategies that have and continue to enable important advances in HCV drug development. Expert opinion With a large cohort of chronically HCV infected patients progressively developing liver disease that puts them at risk for hepatocellular carcinoma and hepatic decompensation, there is an urgent need to develop effective therapeutics that are well-tolerated and effective in all patients and against all HCV genotypes. Significant advances in HCV experimental model development have expedited drug discovery; however, additional progress is needed. Importantly, the current trends and momentum in the field suggests that we will continue to overcome critical experimental challenges to reach this end goal. PMID:22861052

  8. High throughput electrophysiology: new perspectives for ion channel drug discovery.

    Science.gov (United States)

    Willumsen, Niels J; Bech, Morten; Olesen, Søren-Peter; Jensen, Bo Skaaning; Korsgaard, Mads P G; Christophersen, Palle

    2003-01-01

    Proper function of ion channels is crucial for all living cells. Ion channel dysfunction may lead to a number of diseases, so-called channelopathies, and a number of common diseases, including epilepsy, arrhythmia, and type II diabetes, are primarily treated by drugs that modulate ion channels. A cornerstone in current drug discovery is high throughput screening assays which allow examination of the activity of specific ion channels though only to a limited extent. Conventional patch clamp remains the sole technique with sufficiently high time resolution and sensitivity required for precise and direct characterization of ion channel properties. However, patch clamp is a slow, labor-intensive, and thus expensive, technique. New techniques combining the reliability and high information content of patch clamping with the virtues of high throughput philosophy are emerging and predicted to make a number of ion channel targets accessible for drug screening. Specifically, genuine HTS parallel processing techniques based on arrays of planar silicon chips are being developed, but also lower throughput sequential techniques may be of value in compound screening, lead optimization, and safety screening. The introduction of new powerful HTS electrophysiological techniques is predicted to cause a revolution in ion channel drug discovery.

  9. Discovery of Potent, Selective and Reversible Caspase-3 Inhibitors

    Institute of Scientific and Technical Information of China (English)

    Han Yongxin; John Tam; Paul Tawa; Donald W. Nicholson; Robert J. Zamboni; André Giroux; John Colucci; Christopher I. Bayly; Daniel J. Mckay; Sophie Roy; Steve Xanthoudakis; John Vaillancourt; Dita M. Rasper

    2004-01-01

    Recent studies towards understanding the molecular mechanisms of apoptosis have revealed the importance of a group of cysteinyl aspartate specific proteases, the caspases, in the programmed cell death process (Hengartner, M.O. Nature 2000, 407, 770). Caspase-3, in particular,has been characterized as the dominant effector caspase involved in the proteolytic cleavage of a variety of protein substrates including cytoskeletal proteins, kinases and DNA repair enzymes during apoptosis (Nicholson, D. W. Cell Death Differ. 1999, 6, 1028). The development of potent and selective caspase-3 inhibitors has thus emerged as an attractive therapeutic target. In the presentation,the identification of a series of potent, selective and reversible non-peptidyl caspase-3 inhibitors containing a pyrazinone core (1) will be presented. SAR optimization at R1, R2, R3 and R4 led to the discovery of inhibitors such as 2 with excellent in vitro activities (IC50 against rh-caspase-3: 5 nM; IC50 against camptothecin induced apoptotic cell death in NT2 cells: 20 nM). Compounds such as 2 also displayed excellent in vivo activities in a number of animal models of acute injuries (see: Methot, N. et al, J. Exp. Med. 2004, 119, 199; Toulmond, S. et al, British J. Pharm. 2004, 141,689; Holtzman,D.M. et al, JBC, 2002, 277, 30128), and selected examples will be discussed during the presentation.

  10. A Taxonomy of Self-configuring Service Discovery Systems

    NARCIS (Netherlands)

    Sundramoorthy, V.; Hartel, P.H.; Scholten, J.

    2007-01-01

    We analyze the fundamental concepts and issues in service discovery. This analysis places service discovery in the context of distributed systems by describing service discovery as a third generation naming system. We also describe the essential architectures and the functionalities in service disco

  11. Discovery learning and learner autonomy development in secondary vocational school

    Institute of Scientific and Technical Information of China (English)

    刘芩利

    2015-01-01

    It is imperative to cultivate learner autonomy in secondary vocational school and discovery learning is a good choice.The author reviews the definition and principle of discovery learning and learning autonomy,concludes the adaptation of discovery learning from characteristics of vocational students,andfinally illustrates an example in teaching.

  12. 5 CFR 1201.72 - Explanation and scope of discovery.

    Science.gov (United States)

    2010-01-01

    ... location of persons with knowledge of relevant facts. Discovery requests that are directed to nonparties... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Explanation and scope of discovery. 1201... PROCEDURES PRACTICES AND PROCEDURES Procedures for Appellate Cases Discovery § 1201.72 Explanation and...

  13. Context-sensitive service discovery experimental prototype and evaluation

    DEFF Research Database (Denmark)

    Balken, Robin; Haukrogh, Jesper; L. Jensen, Jens;

    2007-01-01

    the network in domains that handle the complex distributed service discovery, which is based on dynamically changing context information. In the prototype, a method for performing context-sensitive service discovery has been realised. The service discovery part utilizes UPnP, which has been expanded in order...

  14. Discovery learning and learner autonomy development in secondary vocational school

    Institute of Scientific and Technical Information of China (English)

    刘芩利

    2015-01-01

    It is imperative to cultivate learner autonomy in secondary vocational school and discovery learning is a good choice.The author reviews the definition and principle of discovery learning and learning autonomy,concludes the adaptation of discovery learning from characteristics of vocational students,and finally illustrates an example in teaching.

  15. 29 CFR 2200.52 - General provisions governing discovery.

    Science.gov (United States)

    2010-07-01

    ... the hearing through new requests for supplementation of prior responses. (j) Filing of discovery... 29 Labor 9 2010-07-01 2010-07-01 false General provisions governing discovery. 2200.52 Section... COMMISSION RULES OF PROCEDURE Prehearing Procedures and Discovery § 2200.52 General provisions...

  16. Discovery and the QuarkNet Data Portfolio

    CERN Document Server

    Cecire, Kenneth

    2015-01-01

    Student and public understanding of new discoveries in particle physics are enhanced by preparatory activities. Such activities give the user experience and context to understand a representation of the data associated with the discovery and some familiarity with the topics associated with the discovery. The QuarkNet Data Portfolio is a developing model of high-quality activities that address this need.

  17. 16 CFR 3.31 - General discovery provisions.

    Science.gov (United States)

    2010-01-01

    ... disclosure of the mental impressions, conclusions, opinions, or legal theories of an attorney or other... discovery requests, disclosure requirements, or discovery demands in this proceeding may designate any...) of the Commission's Rules of Practice, 16 CFR 4.11(e), to discovery requests in another...

  18. Aneuploidy in stem cells

    NARCIS (Netherlands)

    Garcia-Martinez, Jorge; Bakker, Bjorn; Schukken, Klaske M; Simon, Judith E; Foijer, Floris

    2016-01-01

    Stem cells hold enormous promise for regenerative medicine as well as for engineering of model systems to study diseases and develop new drugs. The discovery of protocols that allow for generating induced pluripotent stem cells (IPSCs) from somatic cells has brought this promise steps closer to real

  19. Identifying and quantifying heterogeneity in high content analysis: application of heterogeneity indices to drug discovery.

    Directory of Open Access Journals (Sweden)

    Albert H Gough

    Full Text Available One of the greatest challenges in biomedical research, drug discovery and diagnostics is understanding how seemingly identical cells can respond differently to perturbagens including drugs for disease treatment. Although heterogeneity has become an accepted characteristic of a population of cells, in drug discovery it is not routinely evaluated or reported. The standard practice for cell-based, high content assays has been to assume a normal distribution and to report a well-to-well average value with a standard deviation. To address this important issue we sought to define a method that could be readily implemented to identify, quantify and characterize heterogeneity in cellular and small organism assays to guide decisions during drug discovery and experimental cell/tissue profiling. Our study revealed that heterogeneity can be effectively identified and quantified with three indices that indicate diversity, non-normality and percent outliers. The indices were evaluated using the induction and inhibition of STAT3 activation in five cell lines where the systems response including sample preparation and instrument performance were well characterized and controlled. These heterogeneity indices provide a standardized method that can easily be integrated into small and large scale screening or profiling projects to guide interpretation of the biology, as well as the development of therapeutics and diagnostics. Understanding the heterogeneity in the response to perturbagens will become a critical factor in designing strategies for the development of therapeutics including targeted polypharmacology.

  20. VEGA Infrastructure for Resource Discovery in Grids

    Institute of Scientific and Technical Information of China (English)

    GONG YiLi(龚奕利); DONG FangPeng(董方鹏); LI Wei(李伟); XU ZhiWei(徐志伟)

    2003-01-01

    Grids enable users to share and access large collections and various types of resources in wide areas, and how to locate resources in such dynamic, heterogeneous and autonomous distributed environments is a key and challenging issue. In this paper, a three-level decentralized and dynamic VEGA Infrastructure for Resource Discovery (VIRD) is proposed. In this architecture, every Border Grid Resource Name Server (BGRNS) or Grid Resource Name Server (GRNS)has its own local policies, governing information organization, management and searching. Changes in resource information are propagated dynamically among GRNS servers according to a link-statelike algorithm. A client can query its designated GRNS either recursively or iteratively. Optimizing techniques, such as shortcut, are adopted to make the dynamic framework more flexible and efficient. A simulator called SimVIRD is developed to verify the proposed architecture and algorithms.Experiment results indicate that this architecture could deliver good scalability and performance for grid resource discovery.

  1. Node discovery problem for a social network

    CERN Document Server

    Maeno, Yoshiharu

    2007-01-01

    This paper presents a practical heuristic algorithm to address a node discovery problem. The node discovery problem is to discover a clue on the person, who does not appear in the observed records, but is relevant functionally in affecting decision-making and behavior of an organization. We define two topological relevance of a node in a social network (global and local relevance). Association between the topological relevance and the functional relevance is studied with a few example networks in criminal organizations. We propose a heuristic algorithm to infer an invisible, functionally relevant person. Its performance (precision, recall, and F value) is demonstrated with a simulation experiment using a network derived from the Watts-Strogatz (WS) model.

  2. Discovery of Convoys in Trajectory Databases

    CERN Document Server

    Jeung, Hoyoung; Zhou, Xiaofang; Jensen, Christian S; Shen, Heng Tao

    2010-01-01

    As mobile devices with positioning capabilities continue to proliferate, data management for so-called trajectory databases that capture the historical movements of populations of moving objects becomes important. This paper considers the querying of such databases for convoys, a convoy being a group of objects that have traveled together for some time. More specifically, this paper formalizes the concept of a convoy query using density-based notions, in order to capture groups of arbitrary extents and shapes. Convoy discovery is relevant for real-life applications in throughput planning of trucks and carpooling of vehicles. Although there has been extensive research on trajectories in the literature, none of this can be applied to retrieve correctly exact convoy result sets. Motivated by this, we develop three efficient algorithms for convoy discovery that adopt the well-known filter-refinement framework. In the filter step, we apply line-simplification techniques on the trajectories and establish distance b...

  3. Ontology Based Qos Driven Web Service Discovery

    Directory of Open Access Journals (Sweden)

    R Suganyakala

    2011-07-01

    Full Text Available In today's scenario web services have become a grand vision to implement the business process functionalities. With increase in number of similar web services, one of the essential challenges is to discover relevant web service with regard to user specification. Relevancy of web service discovery can be improved by augmenting semantics through expressive formats like OWL. QoS based service selection will play a significant role in meeting the non-functional user requirements. Hence QoS and semantics has been used as finer search constraints to discover the most relevant service. In this paper, we describe a QoS framework for ontology based web service discovery. The QoS factors taken into consideration are execution time, response time, throughput, scalability, reputation, accessibility and availability. The behavior of each web service at various instances is observed over a period of time and their QoS based performance is analyzed.

  4. Supernova discoveries 2010: statistics and trends

    CERN Document Server

    Gal-Yam, Avishay

    2013-01-01

    We have inspected all supernova discoveries reported during 2010, a total of 538 events. This number includes a small number of "supernova impostors" (bright extragalactic eruptions) but not novae or events that turned out to be Galactic stars. We examine the statistics of all discovered objects, as well as those of the subset of spectroscopically-confirmed events. This year shows the rise of wide-field non-targeted supernova surveys to prominence, with the largest numbers of events contributed by the CRTS and PTF surveys (189 and 88 events respectively), followed by the integrated contribution of numerous amateurs (82 events). Among spectroscopically-confirmed events the PTF (88 events) leads, before amateur discoveries (69 events), closely followed by the CRTS and PS1 surveys (67 and 63 events, respectively). Traditional galaxy-targeted surveys such as LOSS and CHASE, maintain a strong contribution (50 and 36 events, respectively) with high spectroscopic completeness (96% for LOSS). It is interesting to not...

  5. China: current trends in pharmaceutical drug discovery.

    Science.gov (United States)

    Luo, Ying

    2008-04-01

    Pharmaceutical discovery and development is expensive and highly risky, even for multinational corporations. As a developing country with limited financial resources, China has been seeking the most cost-effective means to reach the same level of innovation and productivity as Western countries in the pharmaceutical industry sector. After more than 50 years of building up talent and experience, the time for China to become a powerhouse in pharmaceutical innovation is finally approaching. Returnee scientists to China are one of the reasons for the wave of new discovery and commercialization occurring within the country. The consolidation of local Chinese pharmaceutical companies and foreign investment is also providing an agreeable environment for the evolution of a new generation of biotechnology. The opportunity for pharmaceutical innovation is also being expedited by the entry of multinational companies into the Chinese pharmaceutical market, and by the outsourcing of research from these companies to China. PMID:18379963

  6. Semantic-Discovery of Construction Project Files

    Institute of Scientific and Technical Information of China (English)

    PAN Jiayi; Chimay J. Anumba

    2008-01-01

    The dynamics of a construction project generates a huge amount of information for processing.Most project information is recorded in digital files and managed in a decentralized way. Current document management tools do not consider the semantic relationships between files and then cannot discover files based on their content or ensure information consistency across various information repositories. This paper presents a semantic-discovery method for accessing project information across repositories. By adopting semantic web technologies, including extensible markup language (XML), ontology, and logic rules, the se-mantic-discovery tool can access project files by their properties and relations. The method has been ap-plied to searching for files using documents from a real project. The results show that the semantic content of a file can be used to ensure that only related files are retrieved.

  7. Resources publication and discovery in manufacturing grid

    Institute of Scientific and Technical Information of China (English)

    TAO Fei; HU Ye-fa; DING Yu-feng; SHENG Bu-yun; ZHOU Zu-de

    2006-01-01

    In the manufacturing grid's architecture, Resources Management System (RMS) is the central component responsible for disseminating resource information across the grid, accepting requests for resources, discovering and scheduling the suitable resources that match the requests for the global grid resource, and executing the requests on scheduled resources. In order to resolve the problem of resources publication and discovery in Manufacturing Grid (MGrid), the classification of manufacturing resources is first researched after which the resources encapsulation class modes are put forward. Then, a scalable two-level resource management architecture is constructed on the model, which includes root nodes, domain nodes and leaf nodes. And then an RMS is proposed, and the resources publication and discovery mechanism are detailedly described. At last, an application prototype is developed to show the validity and the practicability of the proved theory and method.

  8. Secure Neighbor Position Discovery in VANETs

    CERN Document Server

    Fiore, Marco; Chiasserini, Carla Fabiana; Papadimitratos, Panagiotis

    2010-01-01

    Many significant functionalities of vehicular ad hoc networks (VANETs) require that nodes have knowledge of the positions of other vehicles, and notably of those within communication range. However, adversarial nodes could provide false position information or disrupt the acquisition of such information. Thus, in VANETs, the discovery of neighbor positions should be performed in a secure manner. In spite of a multitude of security protocols in the literature, there is no secure discovery protocol for neighbors positions. We address this problem in our paper: we design a distributed protocol that relies solely on information exchange among one-hop neighbors, we analyze its security properties in presence of one or multiple (independent or colluding) adversaries, and we evaluate its performance in a VANET environment using realistic mobility traces. We show that our protocol can be highly effective in detecting falsified position information, while maintaining a low rate of false positive detections.

  9. Golden Jubilee photos: A gargantuan discovery

    CERN Multimedia

    2004-01-01

    In July 1973, a groundbreaking discovery was announced in CERN's Main Auditorium: the Gargamelle group had found proof of the weak neutral current. The discovery confirmed the electroweak theory, which had predicted that the weak force and the electromagnetic force were different facets of the same interaction. This paved the way for the Grand Unified Theory, which holds that just after the birth of the Universe all forces were actually the same... Gargamelle, whose "body" now reposes in the Microcosm garden, was a huge bubble chamber weighing around 1000 tonnes, filled with 18 tonnes of liquid freon. Its size, worthy of the giant Gargantua - the son of Gargamelle - was mighty enough to catch neutrinos, the elusive neutral particles which career through space without leaving any tracks. In the photograph, an unseen neutrino interacts with an electron and emerges as a neutrino instead of changing into a muon - what is seen (vertically) is the track of the electron. This lepton event offers p...

  10. Exploiting Social Annotation for Automatic Resource Discovery

    CERN Document Server

    Plangprasopchok, Anon

    2007-01-01

    Information integration applications, such as mediators or mashups, that require access to information resources currently rely on users manually discovering and integrating them in the application. Manual resource discovery is a slow process, requiring the user to sift through results obtained via keyword-based search. Although search methods have advanced to include evidence from document contents, its metadata and the contents and link structure of the referring pages, they still do not adequately cover information sources -- often called ``the hidden Web''-- that dynamically generate documents in response to a query. The recently popular social bookmarking sites, which allow users to annotate and share metadata about various information sources, provide rich evidence for resource discovery. In this paper, we describe a probabilistic model of the user annotation process in a social bookmarking system del.icio.us. We then use the model to automatically find resources relevant to a particular information dom...

  11. Discovery and Selection of Semantic Web Services

    CERN Document Server

    Wang, Xia

    2013-01-01

    For advanced web search engines to be able not only to search for semantically related information dispersed over different web pages, but also for semantic services providing certain functionalities, discovering semantic services is the key issue. Addressing four problems of current solution, this book presents the following contributions. A novel service model independent of semantic service description models is proposed, which clearly defines all elements necessary for service discovery and selection. It takes service selection as its gist and improves efficiency. Corresponding selection algorithms and their implementation as components of the extended Semantically Enabled Service-oriented Architecture in the Web Service Modeling Environment are detailed. Many applications of semantic web services, e.g. discovery, composition and mediation, can benefit from a general approach for building application ontologies. With application ontologies thus built, services are discovered in the same way as with single...

  12. RNA Editing and Drug Discovery for Cancer Therapy

    Directory of Open Access Journals (Sweden)

    Wei-Hsuan Huang

    2013-01-01

    Full Text Available RNA editing is vital to provide the RNA and protein complexity to regulate the gene expression. Correct RNA editing maintains the cell function and organism development. Imbalance of the RNA editing machinery may lead to diseases and cancers. Recently, RNA editing has been recognized as a target for drug discovery although few studies targeting RNA editing for disease and cancer therapy were reported in the field of natural products. Therefore, RNA editing may be a potential target for therapeutic natural products. In this review, we provide a literature overview of the biological functions of RNA editing on gene expression, diseases, cancers, and drugs. The bioinformatics resources of RNA editing were also summarized.

  13. Autophagy modulation as a target for anticancer drug discovery

    Institute of Scientific and Technical Information of China (English)

    Xin LI; Huai-long XU; Yong-xi LIU; Na AN; Si ZHAO; Jin-ku BAO

    2013-01-01

    Autophagy,an evolutionarily conserved catabolic process involving the engulfment and degradation of non-essential or abnormal cellular organelles and proteins,is crucial for homeostatic maintenance in living cells.This highly regulated,multi-step process has been implicated in diverse diseases including cancer.Autophagy can function as either a promoter or a suppressor of cancer,which makes it a promising and challenging therapeutic target.Herein,we overview the regulatory mechanisms and dual roles of autophagy in cancer.We also describe some of the representative agents that exert their anticancer effects by regulating autophagy.Additionally,some emerging strategies aimed at modulating autophagy are discussed as having the potential for future anticancer drug discovery.In summary,these findings will provide valuable information to better utilize autophagy in the future development of anticancer therapeutics that meet clinical requirements.

  14. Lambda-Display: A Powerful Tool for Antigen Discovery

    Directory of Open Access Journals (Sweden)

    Nicola Gargano

    2011-04-01

    Full Text Available Since its introduction in 1985, phage display technology has been successfully used in projects aimed at deciphering biological processes and isolating molecules of practical value in several applications. Bacteriophage lambda, representing a classical molecular cloning and expression system has also been exploited for generating large combinatorial libraries of small peptides and protein domains exposed on its capsid. More recently, lambda display has been consistently and successfully employed for domain mapping, antigen discovery and protein interaction studies or, more generally, in functional genomics. We show here the results obtained by the use of large libraries of cDNA and genomic DNA for the molecular dissection of the human B-cell response against complex pathogens, including protozoan parasites, bacteria and viruses. Moreover, by reviewing the experimental work performed in recent investigations we illustrate the potential of lambda display in the diagnostics field and for identifying antigens useful as targets for vaccine development.

  15. Discovery pharmaceutics—Challenges and opportunities

    OpenAIRE

    Chen, Xue-Qing; Antman, Melissa D.; Gesenberg, Christoph; Gudmundsson, Olafur S.

    2006-01-01

    Most pharmaceutical companies are now evaluating compounds for druglike properties early in the discovery process. The data generated at these early stages allow upfront identification of potential development challenges and thus selection of the best candidates for lead nomination. Most often, lead nomination candidates are selected based on pharmacological and toxicological data. However, many drugs in development suffer from poor biopharmaceutical properties due to suboptimal physiochemica...

  16. Discoveries and diversions in natural product synthesis

    OpenAIRE

    Reisman, Sarah E.

    2013-01-01

    Our lab. seeks to discover, develop, and study new chem. reactions within the context of natural product total synthesis. The chem. synthesis of natural products enables the study of their biol. properties, and can provide access to synthetic derivs. with improved therapeutic properties or that can serve as mechanistic probes. Importantly, these synthetic undertakings often highlight shortcomings of the existing state-of-the-art and inspire the discovery of new chem. Our lab. has ...

  17. The Discovery of the Top Quark

    Science.gov (United States)

    Sinervo, P.K.

    1995-12-01

    The top quark and the Higgs boson are the heaviest elementary particles predicted by the standard model. The four lightest quark flavours, the up, down, strange and charm quarks, were well-established by the mid-1970's. The discovery in 1977 of the {Tau} resonances, a new family of massive hadrons, required the introduction of the fifth quark flavour. Experimental and theoretical studies have indicated that this quark also has a heavier partner, the top quark.

  18. Aspects of knowledge discovery in technical data

    Science.gov (United States)

    Brueckner, Steffen; Rudolph, Stephan

    2002-03-01

    In many engineering applications numerical software has reached a more or less satisfactory quality of predicting the system behavior. A major disadvantage with this kind of software is that it can only be used in a later step in the engineering design process since it requires a detailed system model, such as a finite element simulation model for structural mechanics. Finite element software can only give satisfying results when the complete geometry and all material parameters are specified. However, despite all the parameter definitions in such simulation models, still a severe validation effort with experiments is needed to investigate the model abstractions. Especially in the early conceptual design phase, a need for simplified modeling and the prediction of the system behavior using only little knowledge about a new design exists. This kind of conceptual knowledge can be given e.g. in simple algebraic equations. These equations can either be derived from first principles or from knowledge discovery in data of previous designs, the latter being the topic of this work. Huge amounts of experimental data have been recorded and stored by industry especially in the past ten years with microcomputers being available throughout the companies. Additionally the engineering domain, other than e.g. the business domain, has the advantage that at least a small number of planned experiments can be conducted to enhance the data quantity and quality and to validate the knowledge discovery results. This paper emphasizes the need for a modified knowledge discovery process for engineering (and other scientific domains) and shows the differences to the traditional knowledge discovery in data bases.

  19. Choosing experiments to accelerate collective discovery

    OpenAIRE

    Rzhetsky, Andrey; Foster, Jacob G.; Foster, Ian T.; Evans, James A.

    2015-01-01

    Scientists perform a tiny subset of all possible experiments. What characterizes the experiments they choose? And what are the consequences of those choices for the pace of scientific discovery? We model scientific knowledge as a network and science as a sequence of experiments designed to gradually uncover it. By analyzing millions of biomedical articles published over 30 y, we find that biomedical scientists pursue conservative research strategies exploring the local neighborhood of central...

  20. Joining up 'discovery to delivery' services

    OpenAIRE

    A. Apps; R. MacIntyre

    2008-01-01

    Zetoc is a bibliographic current awareness service that provides discovery of relevant literature within the British Library's Electronic Table of Contents of journal articles and conference papers. A researcher having discovered an article of interest will wish to read it, preferring to locate an electronic copy of an article to be delivered directly to their desktop. However, until now, Zetoc was essentially the British Library's document delivery catalogue, containing details of journals t...

  1. Discovery of antiprotozoal compounds from medicinal plants

    OpenAIRE

    Hata, Yoshie

    2014-01-01

    Tropical parasitic diseases such as malaria, human African trypanosomiasis, chagas disease, and leishmaniasis affect hundreds of millions of people worldwide and have devastating consequences. Current drugs available to treat these diseases have serious drawbacks. New drugs are urgently needed. Natural products (NPs) play a dominant role in drug discovery for the treatment of human diseases. Particularly, quinine and artemisinin have their origin in nature and have inspired successful dru...

  2. Services Discovery for Distributed Network Measurement

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    More and more distributed applications are deployed around interconnected network, which makes it necessary for network measurement services to address the scalability and robustness requirements. This paper discusses a service discovery for integrated network measurement architecture (INMA), including finding the location of measurement agent, the path of the measurement and the network attributes of the end-to-end path or host. It also describes the functions of the major building blocks used to construct the measurement architecture.

  3. Pathways to new drug discovery in neuropsychiatry

    OpenAIRE

    Berk Michael

    2012-01-01

    Abstract There is currently a crisis in drug discovery for neuropsychiatric disorders, with a profound, yet unexpected drought in new drug development across the spectrum. In this commentary, the sources of this dilemma and potential avenues to redress the issue are explored. These include a critical review of diagnostic issues and of selection of participants for clinical trials, and the mechanisms for identifying new drugs and new drug targets. Historically, the vast majority of agents have...

  4. Decomposing PPI networks for complex discovery

    Directory of Open Access Journals (Sweden)

    Chua Hon Nian

    2011-10-01

    Full Text Available Abstract Background Protein complexes are important for understanding principles of cellular organization and functions. With the availability of large amounts of high-throughput protein-protein interactions (PPI, many algorithms have been proposed to discover protein complexes from PPI networks. However, existing algorithms generally do not take into consideration the fact that not all the interactions in a PPI network take place at the same time. As a result, predicted complexes often contain many spuriously included proteins, precluding them from matching true complexes. Results We propose two methods to tackle this problem: (1 The localization GO term decomposition method: We utilize cellular component Gene Ontology (GO terms to decompose PPI networks into several smaller networks such that the proteins in each decomposed network are annotated with the same cellular component GO term. (2 The hub removal method: This method is based on the observation that hub proteins are more likely to fuse clusters that correspond to different complexes. To avoid this, we remove hub proteins from PPI networks, and then apply a complex discovery algorithm on the remaining PPI network. The removed hub proteins are added back to the generated clusters afterwards. We tested the two methods on the yeast PPI network downloaded from BioGRID. Our results show that these methods can improve the performance of several complex discovery algorithms significantly. Further improvement in performance is achieved when we apply them in tandem. Conclusions The performance of complex discovery algorithms is hindered by the fact that not all the interactions in a PPI network take place at the same time. We tackle this problem by using localization GO terms or hubs to decompose a PPI network before complex discovery, which achieves considerable improvement.

  5. Pattern discovery techniques in Web mining

    Directory of Open Access Journals (Sweden)

    Mirela Pater

    2008-05-01

    Full Text Available With the huge amount of information availableonline, the World Wide Web is a fertile area for datamining. Application of data mining techniques to theWorld Wide Web, referred to as Web mining, has beenthe focus of several recent research projects and papers.In this paper we define Web mining and present anoverview of the various research issues, techniques anddevelopment efforts. We briefly describe the strategies forpattern discovery techniques in Web mining.

  6. From Discovery to Impact - Near Earth Asteroids

    Directory of Open Access Journals (Sweden)

    Miloš Tichý

    2012-10-01

    Full Text Available The Near-Earth Objects (NEOs are the most important of the small bodies of the solar system, having the capability of close approaches to the Earth and the chance to collide with the Earth.  We present here the current system of discovery of these dangerous objects, standards for selecting useful and important targets for NEO follow-up astrometry, system of impact probabilities calculations, and also determination of impact site and evacuation area.

  7. Bisociative Discovery of Interesting Relations between Domains

    OpenAIRE

    Nagel, Uwe; Thiel, Kilian; Kötter, Tobias; Piatek, Dawid; Berthold, Michael

    2011-01-01

    The discovery of surprising relations in large, heterogeneous information repositories is gaining increasing importance in real world data analysis. If these repositories come from diverse origins, forming different domains, domain bridging associations between otherwise weakly connected domains can provide insights into the data that can otherwise not be accomplished. In this paper, we propose a first formalization for the detection of such potentially interesting, domain-crossing relations ...

  8. Methods of Knowledge Discovery in Tweets

    OpenAIRE

    Yoon, Sunmoo; Bakken, Suzanne

    2012-01-01

    The purposes of this methodological paper are: 1) to describe web mining methods for knowledge discovery in Tweets, and 2) to illustrate application of the methods using the topic of physical activity. Methods described include: 1) structure mining to discover structures (macro-, meso-, and micro-level) of Tweet networks using social network analysis, and 2) content mining to discover Tweet contents using n-gram based text analysis and sentiment analysis. Specific web mining tools for each st...

  9. Discovery Monday - Behind the plug: communication networks

    CERN Multimedia

    2004-01-01

    Ever wondered what happens to your email when you click "send"? And when you make a phone call, how does your voice travel down the wire? Find out more about communication networks and their applications. Do not miss the next Discovery Monday in Microcosm on 1st March (see Bulletin 9/2004)! Monday 1st March from 7.30pm to 9.00pm, in Microcosm. Entrance Free.

  10. Gene set-based module discovery in the breast cancer transcriptome

    Directory of Open Access Journals (Sweden)

    Zhang Michael Q

    2009-02-01

    Full Text Available Abstract Background Although microarray-based studies have revealed global view of gene expression in cancer cells, we still have little knowledge about regulatory mechanisms underlying the transcriptome. Several computational methods applied to yeast data have recently succeeded in identifying expression modules, which is defined as co-expressed gene sets under common regulatory mechanisms. However, such module discovery methods are not applied cancer transcriptome data. Results In order to decode oncogenic regulatory programs in cancer cells, we developed a novel module discovery method termed EEM by extending a previously reported module discovery method, and applied it to breast cancer expression data. Starting from seed gene sets prepared based on cis-regulatory elements, ChIP-chip data, and gene locus information, EEM identified 10 principal expression modules in breast cancer based on their expression coherence. Moreover, EEM depicted their activity profiles, which predict regulatory programs in each subtypes of breast tumors. For example, our analysis revealed that the expression module regulated by the Polycomb repressive complex 2 (PRC2 is downregulated in triple negative breast cancers, suggesting similarity of transcriptional programs between stem cells and aggressive breast cancer cells. We also found that the activity of the PRC2 expression module is negatively correlated to the expression of EZH2, a component of PRC2 which belongs to the E2F expression module. E2F-driven EZH2 overexpression may be responsible for the repression of the PRC2 expression modules in triple negative tumors. Furthermore, our network analysis predicts regulatory circuits in breast cancer cells. Conclusion These results demonstrate that the gene set-based module discovery approach is a powerful tool to decode regulatory programs in cancer cells.

  11. Women, breast lump discovery, and associated stress.

    Science.gov (United States)

    MacFarlane, M E; Sony, S D

    1992-01-01

    To learn about anxiety experienced by women before they undergo breast biopsy, we surveyed by telephone 42 females aged 18 or over who were scheduled for this procedure. Unlike other studies, the present investigation explores retrospectively the impact of the discovery of a breast lump, hospitalization, and factors that aggravate and alleviate anxiety. An interview guide and an adaptation of the Spielberger, Gorsuch, and Lushene (1970) State Trait Anxiety Inventory Scale were used for data collection. The stress and coping models developed by Lazarus and Launier (1978) and Lazarus and Folkman (1984) contributed to the conceptual framework used in this study. Findings indicate that the anxiety levels of women after the discovery of a breast lump and prior to knowledge of biopsy results were extremely high. Age and time delay in contacting the physician had a statistically significant relationship on the participants' stress levels. The findings provide information that contributes to understanding the problem of anxiety originating from the discovery of a breast lump. PMID:1556029

  12. Systems Pharmacology in Small Molecular Drug Discovery

    Directory of Open Access Journals (Sweden)

    Wei Zhou

    2016-02-01

    Full Text Available Drug discovery is a risky, costly and time-consuming process depending on multidisciplinary methods to create safe and effective medicines. Although considerable progress has been made by high-throughput screening methods in drug design, the cost of developing contemporary approved drugs did not match that in the past decade. The major reason is the late-stage clinical failures in Phases II and III because of the complicated interactions between drug-specific, human body and environmental aspects affecting the safety and efficacy of a drug. There is a growing hope that systems-level consideration may provide a new perspective to overcome such current difficulties of drug discovery and development. The systems pharmacology method emerged as a holistic approach and has attracted more and more attention recently. The applications of systems pharmacology not only provide the pharmacodynamic evaluation and target identification of drug molecules, but also give a systems-level of understanding the interaction mechanism between drugs and complex disease. Therefore, the present review is an attempt to introduce how holistic systems pharmacology that integrated in silico ADME/T (i.e., absorption, distribution, metabolism, excretion and toxicity, target fishing and network pharmacology facilitates the discovery of small molecular drugs at the system level.

  13. Novel Directions for Diabetes Mellitus Drug Discovery

    Science.gov (United States)

    Maiese, Kenneth; Chong, Zhao Zhong; Shang, Yan Chen; Wang, Shaohui

    2012-01-01

    Introduction Diabetes mellitus impacts almost 200 million individuals worldwide and leads to debilitating complications. New avenues of drug discovery must target the underlying cellular processes of oxidative stress, apoptosis, autophagy, and inflammation that can mediate multi-system pathology during diabetes mellitus. Areas Covered We examine novel directions for drug discovery that involve the β-nicotinamide adenine dinucleotide (NAD+) precursor nicotinamide, the cytokine erythropoietin, the NAD+-dependent protein histone deacetylase SIRT1, the serine/threonine-protein kinase mammalian target of rapamycin (mTOR), and the wingless pathway. Implications for the targeting of these pathways that oversee gluconeogenic genes, insulin signaling and resistance, fatty acid beta-oxidation, inflammation, and cellular survival are presented. Expert Opinion Nicotinamide, erythropoietin, and the downstram pathways of SIRT1, mTOR, forkhead transcription factors, and wingless signaling offer exciting prospects for novel directions of drug discovery for the treatment of metabolic disorders. Future investigations must dissect the complex relationship and fine modulation of these pathways for the successful translation of robust reparative and regenerative strategies against diabetes mellitus and the complications of this disorder. PMID:23092114

  14. Choosing experiments to accelerate collective discovery.

    Science.gov (United States)

    Rzhetsky, Andrey; Foster, Jacob G; Foster, Ian T; Evans, James A

    2015-11-24

    A scientist's choice of research problem affects his or her personal career trajectory. Scientists' combined choices affect the direction and efficiency of scientific discovery as a whole. In this paper, we infer preferences that shape problem selection from patterns of published findings and then quantify their efficiency. We represent research problems as links between scientific entities in a knowledge network. We then build a generative model of discovery informed by qualitative research on scientific problem selection. We map salient features from this literature to key network properties: an entity's importance corresponds to its degree centrality, and a problem's difficulty corresponds to the network distance it spans. Drawing on millions of papers and patents published over 30 years, we use this model to infer the typical research strategy used to explore chemical relationships in biomedicine. This strategy generates conservative research choices focused on building up knowledge around important molecules. These choices become more conservative over time. The observed strategy is efficient for initial exploration of the network and supports scientific careers that require steady output, but is inefficient for science as a whole. Through supercomputer experiments on a sample of the network, we study thousands of alternatives and identify strategies much more efficient at exploring mature knowledge networks. We find that increased risk-taking and the publication of experimental failures would substantially improve the speed of discovery. We consider institutional shifts in grant making, evaluation, and publication that would help realize these efficiencies.

  15. Enhancing Service Discovery Performance Over Home Networks

    Directory of Open Access Journals (Sweden)

    Intisar Al-Mejibli

    2012-04-01

    Full Text Available Service discovery protocols are used to facilitate dynamic cooperation among devices / services with minimal user intervention. These protocols work by exchanging messages to identify and locate the relevant services. When new devices and services are added the flow of messages often appears as a burst. These bursts act as a critical factor that may cause the loss messages which dramatically influences the performance of the service discovery process. Thus, the loss of messages results in uncompleted discovery process which will directly affect the sharing of resources in home networks. This paper proposes an algorithm that computes the minimum period of time required between a consecutive burst of messages and determines the minimum required queue sizes for the routers to manage the traffic and avoid dropped messages. The algorithm has been applied to the Universal Plug and Play (UPnP protocol and considered the used of Active Queue Management (AQM. It was tested when the routers were connected in two configurations; decentralised and centralised. The message length and bandwidth of the links among the routers were taken into consideration. The result shows better improvement in number of dropped messages `among the routers.

  16. A Technique Socratic Questioning-Guided Discovery

    Directory of Open Access Journals (Sweden)

    M. Hakan Türkçapar

    2012-03-01

    Full Text Available “Socratic Method” is a way of teaching philosophical thinking and knowledge by asking questions which was used by antique period greek philosopher Socrates. Socrates was teaching knowledge to his followers by asking questions and the conversation between them was named “Socratic Dialogues”. In this meaning, no novel knowledge is taught to the individual but only what is formerly known is reminded and rediscovered. The form of socratic questioning which is used during the process of cognitive behavioral therapy is known as Guided Discovery. In this method it is aimed to make the client notice the piece of knowledge which he could notice but is not aware with a series of questions. Socratic method or guided discovery consists of several steps which are: Identifying the problem by listening to the client and making reflections, finding alternatives by examining and evaluating, reidentification by using the newly found information and questioning the old distorted belief and reaching to a conclusion and applying it. Question types used during these procedures are, questions for gaining information, questions revealing the meanings, questions revealing the beliefs, questions about behaviours during the similar past experiences, analyse questions and analytic synthesis questions. In order to make the patient feel understood it is important to be empathetic and summarising the problem during the interview. In this text, steps of Socratic Questioning-Guided Discovery will be reviewed with sample dialogues after each step

  17. Pathways to new drug discovery in neuropsychiatry

    Directory of Open Access Journals (Sweden)

    Berk Michael

    2012-11-01

    Full Text Available Abstract There is currently a crisis in drug discovery for neuropsychiatric disorders, with a profound, yet unexpected drought in new drug development across the spectrum. In this commentary, the sources of this dilemma and potential avenues to redress the issue are explored. These include a critical review of diagnostic issues and of selection of participants for clinical trials, and the mechanisms for identifying new drugs and new drug targets. Historically, the vast majority of agents have been discovered serendipitously or have been modifications of existing agents. Serendipitous discoveries, based on astute clinical observation or data mining, remain a valid option, as is illustrated by the suggestion in the paper by Wahlqvist and colleagues that treatment with sulfonylurea and metformin reduces the risk of affective disorder. However, the identification of agents targeting disorder-related biomarkers is currently proving particularly fruitful. There is considerable hope for genetics as a purist, pathophysiologically valid pathway to drug discovery; however, it is unclear whether the science is ready to meet this promise. Fruitful paradigms will require a break from the orthodoxy, and creativity and risk may well be the fingerprints of success. See related article http://www.biomedcentral.com/1741-7015/10/150

  18. Parallel Frequent Pattern Discovery: Challenges and Methodology

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Parallel frequent pattern discovery algorithms exploit parallel and distributed computing resources to relieve the sequential bottlenecks of current frequent pattern mining (FPM) algorithms. Thus, parallel FPM algorithms achieve better scalability and performance, so they are attracting much attention in the data mining research community. This paper presents a comprehensive survey of the state-of-the-art parallel and distributed frequent pattern mining algorithms with more emphasis on pattern discovery from complex data (e.g., sequences and graphs) on various platforms. A review of typical parallel FPM algorithms uncovers the major challenges, methodologies, and research problems in the field of parallel frequent pattern discovery,such as work-load balancing, finding good data layouts, and data decomposition. This survey also indicates a dramatic shift of the research interest in the field from the simple parallel frequent itemset mining on traditional parallel and distributed platforms to parallel pattern mining of more complex data on emerging architectures, such as multi-core systems and the increasingly mature grid infrastructure.

  19. Two kinds of knowledge in scientific discovery.

    Science.gov (United States)

    Bridewell, Will; Langley, Pat

    2010-01-01

    Research on computational models of scientific discovery investigates both the induction of descriptive laws and the construction of explanatory models. Although the work in law discovery centers on knowledge-lean approaches to searching a problem space, research on deeper modeling tasks emphasizes the pivotal role of domain knowledge. As an example, our own research on inductive process modeling uses information about candidate processes to explain why variables change over time. However, our experience with IPM, an artificial intelligence system that implements this approach, suggests that process knowledge is insufficient to avoid consideration of implausible models. To this end, the discovery system needs additional knowledge that constrains the model structures. We report on an extended system, SC-IPM, that uses such information to reduce its search through the space of candidates and to produce models that human scientists find more plausible. We also argue that although people carry out less extensive search than SC-IPM, they rely on the same forms of knowledge--processes and constraints--when constructing explanatory models.

  20. Performance Evaluation of Frequent Subgraph Discovery Techniques

    Directory of Open Access Journals (Sweden)

    Saif Ur Rehman

    2014-01-01

    Full Text Available Due to rapid development of the Internet technology and new scientific advances, the number of applications that model the data as graphs increases, because graphs have highly expressive power to model a complicated structure. Graph mining is a well-explored area of research which is gaining popularity in the data mining community. A graph is a general model to represent data and has been used in many domains such as cheminformatics, web information management system, computer network, and bioinformatics, to name a few. In graph mining the frequent subgraph discovery is a challenging task. Frequent subgraph mining is concerned with discovery of those subgraphs from graph dataset which have frequent or multiple instances within the given graph dataset. In the literature a large number of frequent subgraph mining algorithms have been proposed; these included FSG, AGM, gSpan, CloseGraph, SPIN, Gaston, and Mofa. The objective of this research work is to perform quantitative comparison of the above listed techniques. The performances of these techniques have been evaluated through a number of experiments based on three different state-of-the-art graph datasets. This novel work will provide base for anyone who is working to design a new frequent subgraph discovery technique.

  1. Systems Pharmacology in Small Molecular Drug Discovery

    Science.gov (United States)

    Zhou, Wei; Wang, Yonghua; Lu, Aiping; Zhang, Ge

    2016-01-01

    Drug discovery is a risky, costly and time-consuming process depending on multidisciplinary methods to create safe and effective medicines. Although considerable progress has been made by high-throughput screening methods in drug design, the cost of developing contemporary approved drugs did not match that in the past decade. The major reason is the late-stage clinical failures in Phases II and III because of the complicated interactions between drug-specific, human body and environmental aspects affecting the safety and efficacy of a drug. There is a growing hope that systems-level consideration may provide a new perspective to overcome such current difficulties of drug discovery and development. The systems pharmacology method emerged as a holistic approach and has attracted more and more attention recently. The applications of systems pharmacology not only provide the pharmacodynamic evaluation and target identification of drug molecules, but also give a systems-level of understanding the interaction mechanism between drugs and complex disease. Therefore, the present review is an attempt to introduce how holistic systems pharmacology that integrated in silico ADME/T (i.e., absorption, distribution, metabolism, excretion and toxicity), target fishing and network pharmacology facilitates the discovery of small molecular drugs at the system level. PMID:26901192

  2. Two kinds of knowledge in scientific discovery.

    Science.gov (United States)

    Bridewell, Will; Langley, Pat

    2010-01-01

    Research on computational models of scientific discovery investigates both the induction of descriptive laws and the construction of explanatory models. Although the work in law discovery centers on knowledge-lean approaches to searching a problem space, research on deeper modeling tasks emphasizes the pivotal role of domain knowledge. As an example, our own research on inductive process modeling uses information about candidate processes to explain why variables change over time. However, our experience with IPM, an artificial intelligence system that implements this approach, suggests that process knowledge is insufficient to avoid consideration of implausible models. To this end, the discovery system needs additional knowledge that constrains the model structures. We report on an extended system, SC-IPM, that uses such information to reduce its search through the space of candidates and to produce models that human scientists find more plausible. We also argue that although people carry out less extensive search than SC-IPM, they rely on the same forms of knowledge--processes and constraints--when constructing explanatory models. PMID:25163620

  3. Scientific Discoveries: What Is Required for Lasting Impact.

    Science.gov (United States)

    Lømo, Terje

    2016-01-01

    I have been involved in two scientific discoveries of some impact. One is the discovery of long-term potentiation (LTP), the phenomenon that brief, high-frequency impulse activity at synapses in the brain can lead to long-lasting increases in their efficiency of transmission. This finding demonstrated that synapses are plastic, a property thought to be necessary for learning and memory. The other discovery is that nerve-evoked muscle impulse activity, rather than putative trophic factors, controls the properties of muscle fibers. Here I describe how these two discoveries were made, the unexpected difficulties of reproducing the first discovery, and the controversies that followed the second discovery. I discuss why the first discovery took many years to become generally recognized, whereas the second caused an immediate sensation and entered textbooks and major reviews but is now largely forgotten. In the long run, discovering a new phenomenon has greater impact than falsifying a popular hypothesis. PMID:26273911

  4. Subgroup Discovery Algorithms:A Survey and Empirical Evaluation

    Institute of Scientific and Technical Information of China (English)

    Sumyea Helal

    2016-01-01

    Subgroup discovery is a data mining technique that discovers interesting associations among different variables with respect to a property of interest. Existing subgroup discovery methods employ different strategies for searching, pruning and ranking subgroups. It is very crucial to learn which features of a subgroup discovery algorithm should be considered for generating quality subgroups. In this regard, a number of reviews have been conducted on subgroup discovery. Although they provide a broad overview on some popular subgroup discovery methods, they employ few datasets and measures for subgroup evaluation. In the light of the existing measures, the subgroups cannot be appraised from all perspectives. Our work performs an extensive analysis on some popular subgroup discovery methods by using a wide range of datasets and by defining new measures for subgroup evaluation. The analysis result will help with understanding the major subgroup discovery methods, uncovering the gaps for further improvement and selecting the suitable category of algorithms for specific application domains.

  5. Proteomics for Adverse Outcome Pathway Discovery using Human Kidney Cells?

    Science.gov (United States)

    An Adverse Outcome Pathway (AOP) is a conceptual framework that applies molecular-based data for use in risk assessment and regulatory decision support. AOP development is based on effects data of chemicals on biological processes (i.e., molecular initiating events, key intermedi...

  6. Automatic discovery of cell types and microcircuitry from neural connectomics

    OpenAIRE

    Jonas, Eric; Kording, Konrad

    2014-01-01

    eLife digest The human brain is made up of billions of neurons, which are organised into networks via trillions of connections. The study of the nature of these connections will be central to understanding how the brain works. In recent years, a number of new methods for imaging the brain have made it possible to visualise and map these connections, generating striking images and creating an additional field of neuroscience known as ‘connectomics’. However, the sheer volume of data generated ...

  7. Applications of Fiberoptics-Based Nanosensors to Drug Discovery

    Science.gov (United States)

    Vo-Dinh, Tuan; Scaffidi, Jonathan; Gregas, Molly; Zhang, Yan; Seewaldt, Victoria

    2013-01-01

    Background Fiber-optic nanosensors are fabricated by heating and pulling optical fibers to yield sub-micron diameter tips, and have been used for in vitro analysis of individual living mammalian cells. Immobilization of bioreceptors (e.g., antibodies, peptides, DNA, etc) selective to target analyte molecules of interest provides molecular specificity. Excitation light can be launched into the fiber, and the resulting evanescent field at the tip of the nanofiber can be used to excite target molecules bound to the bioreceptor molecules. The fluorescence or surface-enhanced Raman scattering produced by the analyte molecules is detected using an ultra-sensitive photodetector. Objective This article provides an overview of the development and application of fiber-optic nanosensors for drug discovery. Conclusions The nanosensors provide minimally invasive tools to probe sub-cellular compartments inside single living cells for health effect studies (e.g., detection of benzopyrene adducts) and medical applications (e.g., monitoring of apoptosis in cells treated with anti-cancer drugs). PMID:23496274

  8. Discovery of tetrahydroisoquinoline-based CXCR4 antagonists.

    Science.gov (United States)

    Truax, Valarie M; Zhao, Huanyu; Katzman, Brooke M; Prosser, Anthony R; Alcaraz, Ana A; Saindane, Manohar T; Howard, Randy B; Culver, Deborah; Arrendale, Richard F; Gruddanti, Prahbakar R; Evers, Taylor J; Natchus, Michael G; Snyder, James P; Liotta, Dennis C; Wilson, Lawrence J

    2013-11-14

    A de novo hit-to-lead effort involving the redesign of benzimidazole-containing antagonists of the CXCR4 receptor resulted in the discovery of a novel series of 1,2,3,4-tetrahydroisoquinoline (TIQ) analogues. In general, this series of compounds show good potencies (3-650 nM) in assays involving CXCR4 function, including both inhibition of attachment of X4 HIV-1IIIB virus in MAGI-CCR5/CXCR4 cells and inhibition of calcium release in Chem-1 cells. Series profiling permitted the identification of TIQ-(R)-stereoisomer 15 as a potent and selective CXCR4 antagonist lead candidate with a promising in vitro profile. The drug-like properties of 15 were determined in ADME in vitro studies, revealing low metabolic liability potential. Further in vivo evaluations included pharmacokinetic experiments in rats and mice, where 15 was shown to have oral bioavailability (F = 63%) and resulted in the mobilization of white blood cells (WBCs) in a dose-dependent manner. PMID:24936240

  9. Light Higgs boson discovery from fermion mixing

    Science.gov (United States)

    Aguilar–Saavedra, Juan Antonio

    2006-12-01

    We evaluate the LHC discovery potential for a light Higgs boson in tbar tH (→ellνbbar bbbar bjj) production, within the Standard Model and if a new Q = 2/3 quark singlet T with a moderate mass exists. In the latter case, T pair production with decays Tbar T→W+b Hbar t/Ht W-bar b→W+bW-bar bH provides an important additional source of Higgs bosons giving the same experimental signature, and other decay modes Tbar T→Ht Hbar t→W+bW-bar bHH, Tbar T→Zt Hbar t/Ht Zbar t→W+bW-bar bHZ further enhance this signal. Both analyses are carried out with particle-level simulations of signals and backgrounds, including tbar t plus n = 0,...,5 jets which constitute the main background by far. Our estimate for SM Higgs discovery in tbar tH production, 0.4σ significance for MH = 115 GeV and an integrated luminosity of 30 fb-1, is similar to the most recent ones by CMS which also include the full tbar tnj background. We show that, if a quark singlet with a mass mT = 500 GeV exists, the luminosity required for Higgs discovery in this final state is reduced by more than two orders of magnitude, and 5σ significance can be achieved already with 8 fb-1. This new Higgs signal will not be seen unless we look for it: with this aim, a new specific final state reconstruction method is presented. Finally, we consider the sensitivity to search for Q = 2/3 singlets. The combination of these three decay modes allows to discover a 500 GeV quark with 7 fb-1 of luminosity.

  10. Engineering stem cell niches in bioreactors

    OpenAIRE

    2013-01-01

    Stem cells, including embryonic stem cells, induced pluripotent stem cells, mesenchymal stem cells and amniotic fluid stem cells have the potential to be expanded and differentiated into various cell types in the body. Efficient differentiation of stem cells with the desired tissue-specific function is critical for stem cell-based cell therapy, tissue engineering, drug discovery and disease modeling. Bioreactors provide a great platform to regulate the stem cell microenvironment, known as “ni...

  11. Solar System Moons Discovery and Mythology

    CERN Document Server

    Blunck, Jürgen

    2010-01-01

    Starting from Mars outward this concise handbook provides thorough information on the satellites of the planets in the solar system. Each chapter begins with a section on the discovery and the naming of the planet's satellites or rings. This is followed by a section presenting the historic sources of those names. The book contains tables with the orbital and physical parameters of all satellites and is illustrated throughout with modern photos of the planets and their moons as well as historical and mythological drawings. The Cyrillic transcriptions of the satellite names are provided in a register. Readers interested in the history of astronomy and its mythological backgrounds will enjoy this beautiful volume.

  12. Matched molecular pair analysis in drug discovery.

    Science.gov (United States)

    Dossetter, Alexander G; Griffen, Edward J; Leach, Andrew G

    2013-08-01

    Multiple parameter optimisation in drug discovery is difficult, but Matched Molecular Pair Analysis (MMPA) can help. Computer algorithms can process data in an unbiased way to yield design rules and suggest better molecules, cutting the number of design cycles. The approach often makes more suggestions than can be processed manually and methods to deal with this are proposed. However, there is a paucity of contextually specific design rules, which would truly make the technique powerful. By combining extracted information from multiple sources there is an opportunity to solve this problem and advance medicinal chemistry in a matter of months rather than years. PMID:23557664

  13. A New Supernova Discovery/Classification

    Science.gov (United States)

    Howell, D. A.; Nugent, P. E.; Sullivan, M.; Gal-Yam, A.

    2010-10-01

    The Type Ia supernova science working group of the Palomar Transient Factory (ATEL#1964) reports the discovery of the Type Ia supernova PTF10ygu at RA=09:37:30.30, Dec=+23:09:33.6 (J2000) in the host galaxy NGC 2929 at z=0.025. The supernova was discovered on Oct. 12.5 UT when it was at magnitude 19.2 in R-band (calibrated wrt the USNO catalog). There was nothing at this location on Oct 8.5 UT to a limiting magnitude of 20.3, and a marginal detection (S/N=5) at R=19.6 on Oct.

  14. Biological Networks for Cancer Candidate Biomarkers Discovery

    Science.gov (United States)

    Yan, Wenying; Xue, Wenjin; Chen, Jiajia; Hu, Guang

    2016-01-01

    Due to its extraordinary heterogeneity and complexity, cancer is often proposed as a model case of a systems biology disease or network disease. There is a critical need of effective biomarkers for cancer diagnosis and/or outcome prediction from system level analyses. Methods based on integrating omics data into networks have the potential to revolutionize the identification of cancer biomarkers. Deciphering the biological networks underlying cancer is undoubtedly important for understanding the molecular mechanisms of the disease and identifying effective biomarkers. In this review, the networks constructed for cancer biomarker discovery based on different omics level data are described and illustrated from recent advances in the field.

  15. The discovery potential of laser polarization experiments

    Energy Technology Data Exchange (ETDEWEB)

    Ahlers, Markus [Oxford Univ. (United Kingdom). Rudolf Peierls Centre for Theoretical Physics; Jaeckel, Joerg [Durham Univ. (United Kingdom). Inst. for Particle Physics and Phenomenology; Ringwald, Andreas [Deutsches Elektronen-Synchrotron (DESY), Hamburg (Germany)

    2008-12-15

    Currently, a number of experiments are searching for vacuum magnetic birefringence and dichroism, i.e. for dispersive and absorptive features in the propagation of polarized light along a transverse magnetic field in vacuum. In this note we calculate the Standard Model contributions to these signatures, thereby illuminating the discovery potential of such experiments in the search for new physics. We discuss the three main sources for a Standard Model contribution to a dichroism signal: photon splitting, neutrino pair production and production of gravitons. (orig.)

  16. Repurposing strategies for tropical disease drug discovery.

    Science.gov (United States)

    Klug, Dana M; Gelb, Michael H; Pollastri, Michael P

    2016-06-01

    Neglected tropical diseases (NTDs) and other diseases of the developing world, such as malaria, attract research investments that are disproportionately low compared to their impact on human health worldwide. Therefore, pragmatic methods for launching new drug discovery programs have emerged that repurpose existing chemical matter as new drugs or new starting points for optimization. In this Digest we describe applications of different repurposing approaches for NTDs, and provide a means by which these approaches may be differentiated from each other. These include drug repurposing, target repurposing, target class repurposing, and lead repurposing. PMID:27080183

  17. Advances in knowledge discovery in databases

    CERN Document Server

    Adhikari, Animesh

    2015-01-01

    This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.  

  18. False Discovery Rate Control under Archimedean Copula

    OpenAIRE

    Bodnar, Taras; Dickhaus, Thorsten

    2013-01-01

    We are concerned with the false discovery rate (FDR) of the linear step-up test $\\varphi^{LSU}$ considered by Benjamini and Hochberg (1995). It is well known that $\\varphi^{LSU}$ controls the FDR at level $m_{0}q/m$ if the joint distribution of $p$-values is multivariate totally positive of order $2$. In this, $m$ denotes the total number of hypotheses, $m_{0}$ the number of true null hypotheses, and $q$ the nominal FDR level. Under the assumption of an Archimedean $p$-value copula with compl...

  19. Biological Networks for Cancer Candidate Biomarkers Discovery.

    Science.gov (United States)

    Yan, Wenying; Xue, Wenjin; Chen, Jiajia; Hu, Guang

    2016-01-01

    Due to its extraordinary heterogeneity and complexity, cancer is often proposed as a model case of a systems biology disease or network disease. There is a critical need of effective biomarkers for cancer diagnosis and/or outcome prediction from system level analyses. Methods based on integrating omics data into networks have the potential to revolutionize the identification of cancer biomarkers. Deciphering the biological networks underlying cancer is undoubtedly important for understanding the molecular mechanisms of the disease and identifying effective biomarkers. In this review, the networks constructed for cancer biomarker discovery based on different omics level data are described and illustrated from recent advances in the field. PMID:27625573

  20. Discovery of Two Novae in M81

    Science.gov (United States)

    Hornoch, K.; Vaduvescu, O.; Zurita, C.; Patrick, L.; Ledo, H.; Karjalainen, R.

    2012-05-01

    We report the discovery of two novae in M81 on a co-added 1600-s narrow-band H-alpha CCD image taken with the 2.5-m Isaac Newton Telescope (INT) + WFC at La Palma under ~0.8" seeing on May 22.901 UT. The new objects are well visible on the co-added image (see the finding chart linked below) as well as on individual 400-s frames, but are not present on numerous narrow-band H-alpha archival images from the INT down to limiting magnitude as faint as H-alpha = 22.3.

  1. The discovery of the intermediate vector bosons

    International Nuclear Information System (INIS)

    The discovery of the intermediate vector bosons in 1983 at CERN marked the culmination of a long effort to unify the theory of weak and electromagnetic forces. Here a brief outline of development of the electroweak theory which unifies these forces is given first. Its essential feature is the prediction of the existence of the W+- and Z0 bosons with rest masses of about ninety times the proton mass and lifetimes around 10-24s. Then the experimental methods used at CERN to produce and to detect these very massive and short-lived particles are described. (author)

  2. 3D in vitro technology for drug discovery.

    Science.gov (United States)

    Hosseinkhani, Hossein

    2012-02-01

    Three-dimensional (3D) in vitro systems that can mimic organ and tissue structure and function in vivo, will be of great benefit for a variety of biological applications from basic biology to toxicity testing and drug discovery. There have been several attempts to generate 3D tissue models but most of these models require costly equipment, and the most serious disadvantage in them is that they are too far from the mature human organs in vivo. Because of these problems, research and development in drug discovery, toxicity testing and biotech industries are highly expensive, and involve sacrifice of countless animals and it takes several years to bring a single drug/product to the market or to find the toxicity or otherwise of chemical entities. Our group has been actively working on several alternative models by merging biomaterials science, nanotechnology and biological principles to generate 3D in vitro living organs, to be called "Human Organs-on-Chip", to mimic natural organ/tissues, in order to reduce animal testing and clinical trials. We have fabricated a novel type of mechanically and biologically bio-mimicking collagen-based hydrogel that would provide for interconnected mini-wells in which 3D cell/organ culture of human samples in a manner similar to human organs with extracellular matrix (ECM) molecules would be possible. These products mimic the physical, chemical, and biological properties of natural organs and tissues at different scales. This paper will review the outcome of our several experiments so far in this direction and the future perspectives.

  3. Comprehensive discovery and characterization of small RNAs in Corynebacterium glutamicum ATCC 13032

    OpenAIRE

    Mentz, Almut; Neshat, Armin; Pfeifer, Katharina; Pühler, Alfred; Rückert, Christian; Kalinowski, Jörn

    2013-01-01

    Background Recent discoveries on bacterial transcriptomes gave evidence that small RNAs (sRNAs) have important regulatory roles in prokaryotic cells. Modern high-throughput sequencing approaches (RNA-Seq) enable the most detailed view on transcriptomes offering an unmatched comprehensiveness and single-base resolution. Whole transcriptome data obtained by RNA-Seq can be used to detect and characterize all transcript species, including small RNAs. Here, we describe an RNA-Seq approach for comp...

  4. Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling

    OpenAIRE

    Atrih, A; Mudaliar, M A V; Zakikhani, P; Lamont, D J; Huang, J T-J; Bray, S.E.; Barton, G.; Fleming, S; Nabi, G.

    2014-01-01

    Background: Proteomics-based approaches for biomarker discovery are promising strategies used in cancer research. We present state-of-art label-free quantitative proteomics method to assess proteome of renal cell carcinoma (RCC) compared with noncancer renal tissues. Methods: Fresh frozen tissue samples from eight primary RCC lesions and autologous adjacent normal renal tissues were obtained from surgically resected tumour-bearing kidneys. Proteins were extracted by complete solubilisation of...

  5. Tales of one gene discovery of a novel candidate receptor in mammalian taste

    OpenAIRE

    Huang, Angela Lilly

    2007-01-01

    There are five basic taste modalities in mammals: bitter, sweet, sour, salty, and Umami (taste of MSG and L-amino acids). Receptors for bitter, sweet, and Umami were previously discovered. Identities of receptors for salty and sour taste modalities remained elusive. In this dissertation, I will present: 1) development of a novel bioinformatics screen to discover candidate receptors; 2) discovery of a novel gene, PKD2L1, in taste receptor cells; 3) evidence demonstrating PKD2L1-expressing tast...

  6. Thresholds for Discovery: EAD Tag Analysis in ArchiveGrid, and Implications for Discovery Systems

    Directory of Open Access Journals (Sweden)

    M. Proffitt

    2013-10-01

    Full Text Available The ArchiveGrid discovery system is made up in part of an aggregation of EAD (Encoded Archival Description encoded finding aids from hundreds of contributing institutions. In creating the ArchiveGrid discovery interface, the OCLC Research project team has long wrestled with what we can reasonably do with the large (120,000+ corpus of EAD documents. This paper presents an analysis of the EAD documents (the largest analysis of EAD documents to date. The analysis is paired with an evaluation of how well the documents support various aspects of online discovery. The paper also establishes a framework for thresholds of completeness and consistency to evaluate the results. We find that, while the EAD standard and encoding practices have not offered support for all aspects of online discovery, especially in a large and heterogeneous aggregation of EAD documents, current trends suggest that the evolution of the EAD standard and the shift from retrospective conversion to new shared tools for improved encoding hold real promise for the future.

  7. Strategies for the discovery of therapeutic Aptamers

    Science.gov (United States)

    Yang, Xianbin; Li, Na; Gorenstein, David G.

    2010-01-01

    Importance of the field Therapeutic aptamers are synthetic, structured oligonucleotides that bind to a very broad range of targets with high affinity and specificity. They are an emerging class of targeting ligand that show great promise for treating a number of diseases. A series of aptamers currently in various stages of clinical development highlights the potential of aptamers for therapeutic applications. Area covered in this review This review will cover in vitro selection of oligonucleotide ligands, called aptamers, from a combinatorial library using the Systematic Evolution of Ligands by Exponential Enrichment (SELEX) process as well as the other known strategies for finding aptamers against various targets. What the reader will gain Readers will gain an understanding of the highly useful strategies for successful aptamer discovery. They may also be able combine two or more of the presented strategies for their aptamer discovery projects. Take home message Although many processes are available for discovering aptamers, it is not trivial to discover an aptamer candidate that is ready to move toward pharmaceutical drug development. It is also apparent that there have been relatively few therapeutic advances and clinical trials undertaken due to the small number of companies that participate in aptamer development. PMID:21359096

  8. Sublinear Time Motif Discovery from Multiple Sequences

    Directory of Open Access Journals (Sweden)

    Yunhui Fu

    2013-10-01

    Full Text Available In this paper, a natural probabilistic model for motif discovery has been used to experimentally test the quality of motif discovery programs. In this model, there are k background sequences, and each character in a background sequence is a random character from an alphabet, Σ. A motif G = g1g2 ... gm is a string of m characters. In each background sequence is implanted a probabilistically-generated approximate copy of G. For a probabilistically-generated approximate copy b1b2 ... bm of G, every character, bi, is probabilistically generated, such that the probability for bi ≠ gi is at most α. We develop two new randomized algorithms and one new deterministic algorithm. They make advancements in the following aspects: (1 The algorithms are much faster than those before. Our algorithms can even run in sublinear time. (2 They can handle any motif pattern. (3 The restriction for the alphabet size is a lower bound of four. This gives them potential applications in practical problems, since gene sequences have an alphabet size of four. (4 All algorithms have rigorous proofs about their performances. The methods developed in this paper have been used in the software implementation. We observed some encouraging results that show improved performance for motif detection compared with other software.

  9. Centenary of the discovery of superconductivity

    CERN Multimedia

    Anaïs Vernède

    2011-01-01

    To mark the centenary of the discovery of the phenomenon of superconductivity, MANEP and the University of Geneva are organising open days at the PhysiScope between 8 and 15 April 2011. On 13 April CERN will make a contribution to the series of events with a lecture on superconductivity followed by a demonstration of the phenomenon at the Globe   Historic graph showing the superconducting transition of mercury, measured in Leiden in 1911 by H. Kamerlingh Onnes. On 8 April 2011 it will be a hundred years since the discovery of superconductivity by the Dutch physicist Kamerlingh Onnes. To mark the occasion, the University of Geneva and MANEP are organising a week-long interactive workshop at the PhysiScope. “The purpose of this initiative is to introduce the general public to this spectacular phenomenon by giving them an opportunity to take part in entertaining experiments”, explains Adriana Aleman, Head of Communications of the University of Geneva. As its contribution to the e...

  10. Crowdsourcing knowledge discovery and innovations in medicine.

    Science.gov (United States)

    Celi, Leo Anthony; Ippolito, Andrea; Montgomery, Robert A; Moses, Christopher; Stone, David J

    2014-09-19

    Clinicians face difficult treatment decisions in contexts that are not well addressed by available evidence as formulated based on research. The digitization of medicine provides an opportunity for clinicians to collaborate with researchers and data scientists on solutions to previously ambiguous and seemingly insolvable questions. But these groups tend to work in isolated environments, and do not communicate or interact effectively. Clinicians are typically buried in the weeds and exigencies of daily practice such that they do not recognize or act on ways to improve knowledge discovery. Researchers may not be able to identify the gaps in clinical knowledge. For data scientists, the main challenge is discerning what is relevant in a domain that is both unfamiliar and complex. Each type of domain expert can contribute skills unavailable to the other groups. "Health hackathons" and "data marathons", in which diverse participants work together, can leverage the current ready availability of digital data to discover new knowledge. Utilizing the complementary skills and expertise of these talented, but functionally divided groups, innovations are formulated at the systems level. As a result, the knowledge discovery process is simultaneously democratized and improved, real problems are solved, cross-disciplinary collaboration is supported, and innovations are enabled.

  11. Scientists Like Me: Faces of Discovery

    Science.gov (United States)

    Enevoldsen, A. A. G.; Culp, S.; Trinh, A.

    2010-08-01

    During the International Year of Astronomy, Pacific Science Center is hosting a photography exhibit: Scientists Like Me: Faces of Discovery. The exhibit contains photographs of real, current astronomers and scientists working in astronomy and aerospace-related fields from many races, genders, cultural affiliations and walks of life. The photographs were taken and posters designed by Alyssa Trinh and Sarah Culp, high school interns in Discovery Corps, Pacific Science Center's youth development program. The direct contact between the scientists and the interns helps the intended audience of teachers and families personally connect with scientists. The finished posters from this exhibit are available online (http://pacificsciencecenter.org/scientists) for teachers to use in their classrooms, in addition to being displayed at Pacific Science Center and becoming part of Pacific Science Center's permanent art rotation. The objective of this project was to fill a need for representative photographs of scientists in the world community. It also met two of the goals of International Year of Astronomy: to provide a modern image of science and scientists, and to improve the gender-balanced representation of scientists at all levels and promote greater involvement by all people in scientific and engineering careers. We would like to build on the success of this project and create an annual summer internship, with different interns, focusing on creating posters for different fields of science.

  12. DISCOVERY OF TWO ADDITIONAL JOVIAN IRREGULARS

    Energy Technology Data Exchange (ETDEWEB)

    Alexandersen, M.; Gladman, B. [Department of Physics and Astronomy, 6224 Agricultural Road, University of British Columbia, Vancouver BC (Canada); Veillet, C. [Canada-France-Hawaii Telescope Corporation, P.O. Box 1597, Kamuela, HI 96743 (United States); Jacobson, R.; Brozovic, M. [Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109-8099 (United States); Rousselot, P., E-mail: mikea@astro.ubc.ca [Institut UTINAM, CNRS-UMR 6213, Observatoire de Besancon, BP 1615, 25010 Besancon Cedex (France)

    2012-07-15

    We report on the discovery of two previously undetected irregular satellites of Jupiter (S/2010 J 1 and S/2010 J 2) during recovery observations of other known satellites. S/2010 J 1 was discovered with the Palomar 200 inch Hale telescope on September 7 UT of 2011, while S/2010 J 2 was discovered on September 8 with the 3.5 m Canada-France-Hawaii Telescope. The satellites have r-band magnitudes of 23.2 {+-} 0.3 and 24.0 {+-} 0.3, for S/2010 J 1 and S/2010 J 2, respectively, indicating diameters of {approx}2-3 km. Both S/2010 J 1 and S/2010 J 2 are on bound retrograde orbits. Time-averaged integrated orbits suggest the association to the Carme and Ananke groups, respectively. Given that the satellites were discovered within a small field during the routine observations of the previously known irregulars, their discovery agrees with predictions that other moons of similar sizes remain undetected in the Jovian Hill sphere.

  13. Optical design of the Discovery Channel Telescope

    Science.gov (United States)

    MacFarlane, Malcolm J.; Dunham, Edward W.

    2004-10-01

    The Discovery Channel Telescope (DCT) is a joint venture between Discovery Communications and Lowell Observatory. The telescope will have a 4.2-meter clear aperture, active primary mirror working at F/1.9. Two observing stations are presently planned; a Ritchey-Chretien focus some two meters behind the vertex of the primary mirror and a prime focus featuring a wide-field optical corrector (WFOC) with a two-degree field of view. The Ritchey-Chretien focus will be used for a variety of optical and near infrared imaging and spectroscopic instrumentation while the prime focus will be largely used as a survey tool to search for near-earth and Kuiper belt objects, for example. In order to take advantage of sub-arc second seeing at the DCT site, a stringent set of requirements has been placed on the two foci. The requirements are for the full-width, half-maximum (FWHM) image of a point source to be less than 0.20 arc second at the Ritchey-Chretien focus over a 21 arc minute field and less than 0.27 arc second at prime focus in each of six filter bands including a very broad band for survey purposes. This paper describes the optical design of the field correctors at the two foci. Particular attention is paid to the WFOC. This state of the art device poses a number of optical challenges which are discussed here, as well as mechanical challenges which are discussed elsewhere.

  14. Feedback-Driven Dynamic Invariant Discovery

    Science.gov (United States)

    Zhang, Lingming; Yang, Guowei; Rungta, Neha S.; Person, Suzette; Khurshid, Sarfraz

    2014-01-01

    Program invariants can help software developers identify program properties that must be preserved as the software evolves, however, formulating correct invariants can be challenging. In this work, we introduce iDiscovery, a technique which leverages symbolic execution to improve the quality of dynamically discovered invariants computed by Daikon. Candidate invariants generated by Daikon are synthesized into assertions and instrumented onto the program. The instrumented code is executed symbolically to generate new test cases that are fed back to Daikon to help further re ne the set of candidate invariants. This feedback loop is executed until a x-point is reached. To mitigate the cost of symbolic execution, we present optimizations to prune the symbolic state space and to reduce the complexity of the generated path conditions. We also leverage recent advances in constraint solution reuse techniques to avoid computing results for the same constraints across iterations. Experimental results show that iDiscovery converges to a set of higher quality invariants compared to the initial set of candidate invariants in a small number of iterations.

  15. Midwest Lake uranium discovery, Saskatchewan, Canada

    International Nuclear Information System (INIS)

    The discovery of the Midwest Lake uranium deposit in Saskatchewan came some ten years after the start of exploration. The original mining rights were acquired on the basis of regional published, geology and proximity to the earlier discovery. Aerial radiometric surveys led to the location of a train of radioactive, glacially transported sandstone boulders and cobbles. The source of these mineralized erratics did not outcrop, and an extensive series of magnetic, electromagnetic, seismic and gravity surveys was carried out in an unsuccessful attempt to identify the source location. These surveys were followed by several programmes of diamond drilling, geochemical surveys and Pleistocene geological studies. None of these programmes or surveys encountered bedrock mineralization. When information about ore controls in the Athabasca Basin became available, a limited programme of three 300-m wildcat diamond-drill holes was proposed. The second of these holes cut weak radioactivity in a poorly cored intersection. This intersection was at an unconformity at a depth of 200 m. The programme terminated prematurely with early melting of lake ice. The first hole in the subsequent winter's follow-up drilling intersected uranium values in excess of 8%. (author)

  16. Discovery of a New Nearby Star

    Science.gov (United States)

    Teegarden, B. J.; Pravdo, S. H.; Covey, K.; Frazier, O.; Hawley, S. L.; Hicks, M.; Lawrence, K.; McGlynn, T.; Reid, I. N.; Shaklan, S. B.

    2003-01-01

    We report the discovery of a nearby star with a very large proper motion of 5.06 +/- 0.03 arcsec/yr. The star is called SO025300.5+165258 and referred to herein as HPMS (high proper motion star). The discovery came as a result of a search of the SkyMorph database, a sensitive and persistent survey that is well suited for finding stars with high proper motions. There are currently only 7 known stars with proper motions greater than 5 arcsec/yr. We have determined a preliminary value for the parallax of pi = 0.43 +/- 0.13 arcsec. If this value holds our new star ranks behind only the Alpha Centauri system (including Proxima Centauri) and Barnard's star in the list of our nearest stellar neighbours. The spectrum and measured tangential velocity indicate that HPMS is a main-sequence star with spectral type M6.5. However, if our distance measurement is correct, the HPMS is underluminous by 1.2 +/- 0.7 mag.

  17. Discovery Mondays - The detectors: tracking particles

    CERN Multimedia

    2005-01-01

    View of a module from the LHCb vertex detector, which will be presented at the next Discovery Monday. How do you observe the invisible? In order to deepen still further our knowledge of the infinitely small, physicists accelerate beams of particles and generate collisions between them at extraordinary energies. The collisions give birth to showers of new particles. What are they? In order to find out, physicists slip into the role of detectives thanks to the detectors. At the next Discovery Monday you will find out about the different methods used at CERN to detect particles. A cloud chamber will allow you to see the tracks of cosmic particles live. You will also be given the chance to see real modules for the ATLAS and for the LHCb experiments. Strange materials will be on hand, such as crystals that are heavier than iron and yet as transparent as glass... Come to the Microcosm and become a top detective yourself! This event will take place in French. Join us at the Microcosm (Reception Building 33, M...

  18. Discovery Mondays - The detectors: tracking particles

    CERN Multimedia

    2005-01-01

    View of a module from the LHCb vertex detector, which will be presented at the next Discovery Monday. How do you observe the invisible? In order to deepen still further our knowledge of the infinitely small, physicists accelerate beams of particles at close to the speed of light, then generate collisions between them at extraordinary energies, giving birth to showers of new particles. What are these particles? In order to find out, physicists transform themselves into detectives with the help of the detectors. Located around the collision area, these exceptional machines are made up of various layers, each of which detects and measures specific properties of the particles that travel through them. Powerful computers then reconstruct their trajectory and record their charge, mass and energy in order to build up a kind of particle ID card. At the next Discovery Monday you will be able to find out about the different methods used at CERN to detect particles. A cloud chamber will provide live images of the trac...

  19. Discovery Mondays: crystals and particles for medicine

    CERN Multimedia

    2003-01-01

    Question: what are as heavy as lead, as clear as glass, and appear as tiny specks in a doctor's scanner but large as life in a physicist's detector? Answer: the crystals you will be able to observe in all their facets on 1 September at the start of a new season of Discovery Mondays at Microcosm. Come along and meet the CERN physicists who use crystals not only in their detectors but also in the latest generation of scanners. Four workshops will be organised, each devoted to a different medical imaging technique. The first workshop will be run by a physicist from the Crystal Clear collaboration, who will present her collaboration's special breed of crystals, which emit light when they are traversed by high-energy particles, and explain to you these crystals' role in Positron Emission Tomographs. The second workshop will focus on an imaging technique known as the Compton Camera, also based on scintillating crystals. Crystals worth looking at and admiring. Come to the next Discovery Monday to find out how they ...

  20. Discovery Monday - Behind the plug: communication networks

    CERN Multimedia

    2004-01-01

    Ever wondered what happens to your email when you click "send"? And when you make a phone call, how does your voice travel down the wire? Find out more about communication networks and their applications at the next Discovery Monday in Microcosm on 1 March. At CERN, networks are used for a multitude of reasons. Mobile phones, for example, are used in the laboratory's underground areas. Optical fibre cabling ensures that CERN's computers are connected to the rest of the world. But how do optical fibres work and what does the future have in store? CERN's experiments also need networks. Particle detectors are made of many layers, each relays complex information to a computer analysis centre which reconstitutes the passage of the particles resulting from collisions. Many billions of bytes are transmitted every second from a multitude of sources, to many computers.  No single computer can handle such a huge flow of information. The next Discovery Monday is your chance to find out how this works.  Participate i...