11 research outputs found

    The mammalian gene function resource: the International Knockout Mouse Consortium.

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    In 2007, the International Knockout Mouse Consortium (IKMC) made the ambitious promise to generate mutations in virtually every protein-coding gene of the mouse genome in a concerted worldwide action. Now, 5 years later, the IKMC members have developed high-throughput gene trapping and, in particular, gene-targeting pipelines and generated more than 17,400 mutant murine embryonic stem (ES) cell clones and more than 1,700 mutant mouse strains, most of them conditional. A common IKMC web portal (www.knockoutmouse.org) has been established, allowing easy access to this unparalleled biological resource. The IKMC materials considerably enhance functional gene annotation of the mammalian genome and will have a major impact on future biomedical research

    The mammalian gene function resource: The International Knockout Mouse Consortium

    Get PDF
    In 2007, the International Knockout Mouse Consortium (IKMC) made the ambitious promise to generate mutations in virtually every protein-coding gene of the mouse genome in a concerted worldwide action. Now, 5 years later, the IKMC members have developed highthroughput gene trapping and, in particular, gene-targeting pipelines and generated more than 17,400 mutant murine embryonic stem (ES) cell clones and more than 1,700 mutant mouse strains, most of them conditional. A common IKMC web portal (www.knockoutmouse.org) has been established, allowing easy access to this unparalleled biological resource. The IKMC materials considerably enhance functional gene annotation of the mammalian genome and will have a major impact on future biomedical research

    The mammalian gene function resource: the international knockout mouse consortium

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    Sexually dimorphic gene expression in mammalian somatic tissue

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    Background: The sexually dimorphic differentiation of the bipotential gonad into testis or ovary initiates the sexually dimorphic development of mammals and leads to divergent hormone concentrations between the sexes throughout life. However, despite the fact that anatomic and hormonal differences between the sexes are well described, only a few studies have investigated the manifestation of these differences at the transcriptional level in mammalian somatic tissue. Objective: This review focuses on basic regulatory mechanisms of sex-specific gene expression and examines recent gene expression profiling studies to outline basic differences between the sexes at the transcriptome level in somatic tissues. Methods: To identify gene expression profiling studies addressing sexually dimorphic gene expression, the PubMed database was searched using the terms sex* and dimorp* and gene expression not drosophila not elegans. Abstracts of all identified publications were screened for studies explicitly using microarrays to identify sex differences in somatic tissues of rodents or humans. The search was restricted to English-language articles published in the past 5 years. Reference lists of identified articles as well as microarray databases (Gene Expression Omnibus and ArrayExpress) were also used. Results: The application of microarray technology has enabled the systematic assessment of sex-biased gene expression on the transcriptome level, indicating that the regulatory pathways underlying sexual differentiation give rise to extensive differences in somatic gene expression across organisms. Conclusion: Sustainable annotation of sex-biased gene expression provides a key to understanding basic physiological differences between healthy males and females as well as those with diseases

    Prediction of Clinically Relevant Safety Signals of Nephrotoxicity through Plasma Metabolite Profiling

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    Addressing safety concerns such as drug-induced kidney injury (DIKI) early in the drug pharmaceutical development process ensures both patient safety and efficient clinical development. We describe a unique adjunct to standard safety assessment wherein the metabolite profile of treated animals is compared with the MetaMap Tox metabolomics database in order to predict the potential for a wide variety of adverse events, including DIKI. To examine this approach, a study of five compounds (phenytoin, cyclosporin A, doxorubicin, captopril, and lisinopril) was initiated by the Technology Evaluation Consortium under the auspices of the Drug Safety Executive Council (DSEC). The metabolite profiles for rats treated with these compounds matched established reference patterns in the MetaMap Tox metabolomics database indicative of each compound’s well-described clinical toxicities. For example, the DIKI associated with cyclosporine A and doxorubicin was correctly predicted by metabolite profiling, while no evidence for DIKI was found for phenytoin, consistent with its clinical picture. In some cases the clinical toxicity (hepatotoxicity), not generally seen in animal studies, was detected with MetaMap Tox. Thus metabolite profiling coupled with the MetaMap Tox metabolomics database offers a unique and powerful approach for augmenting safety assessment and avoiding clinical adverse events such as DIKI

    Genome wide conditional mouse knockout resources.

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    © 2017 Elsevier Ltd. The International Knockout Mouse Consortium (IKMC) developed high throughput gene trapping and gene targeting pipelines that produced mostly conditional mutations of more than 18,500 genes in C57BL/6N mouse embryonic stem (ES) cells which have been archived and are freely available to the research community as a frozen resource. From this unprecedented resource more than 6000 mutant mouse strains have been generated by the IKMC in collaboration with the International Mouse Phenotyping Consortium (IMPC). In addition, a cre-driver resource was established including 250 C57BL/6 cre-inducible mouse strains. Complementing the cre-driver resource, a collection comprising 27 rAAVs expressing cre in a tissue-specific manner has also been produced. All resources are easily accessible from the IKMC/IMPC web portal (www.mousephenotype.org). The IKMC/IMPC resource is a standardized reference library of mouse models with defined genetic backgrounds enabling the analysis of gene-disease associations in mice of different genetic makeup and should therefore have a major impact on biomedical research
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