GEISHA: A Chicken Embryo Gene Expression Resource
GEISHA: A Chicken Embryo Gene Expression Resource
批准号:
8018382
负责人:
PARKER Bruce ANTIN
金额:
$73.57万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2015-07-31
关键词:
AdultAmino Acid SequenceAnimal ModelBiomedical ResearchBirdsBlast CellChickensCommunitiesDataData AnalysesData SourcesDatabasesDevelopmentEmbryoEmbryonic DevelopmentEmployee StrikesExperimental ModelsFundingGene ExpressionGenesGenomicsGoalsHealthHousingHumanImageIn Situ HybridizationJavaLeadLinkLiteratureMetadataModelingMusOnline Mendelian Inheritance In ManOntologyPatternPeptide Sequence DeterminationPublicationsPublishingRecording of previous eventsRegulator GenesReportingResearch PersonnelResourcesRetrievalScreening procedureSequence AnalysisServicesSourceSystemXenopusZebrafishbasedata integrationgene functionhuman diseaseimprovedinformation displaymutantrepositorytooluser-friendly
中文摘要
描述(申请人提供):生物医学研究的一个中心范式是,了解基因功能最终将导致人类健康的改善。关键的第一步是知道基因在胚胎发育过程中以及在成人体内何时何地表达。鸡胚胎为大规模表达筛选提供了许多优点,包括与人类惊人的相似性,低成本,以及作为实验模式生物的悠久历史。这一更新应用的目标是继续支持和扩展艺妓基因表达数据库,该数据库是一个已建立的鸡胚胎原位杂交基因表达信息和相关基因组元数据的社区资源。这项应用的具体目标是(1)用来自科学文献和其他研究人员的定向高通量原位杂交筛选产生的鸡基因表达信息填充艺妓数据库。将进行高通量原位杂交分析,以确定发育调控基因的表达模式。原位杂交图像和相关信息也将从出版物中得到,并从研究人员那里获得。2)艺妓数据库将扩大,以涵盖新类型的信息和特征。原位杂交图像和相关数据将与其他基因表达项目交换,以便在每个平台上本地跨物种显示表达信息。还将增加BioMart数据集成系统和出版物管理系统,以增强搜索和检索能力,并展示与基因有关的出版物。3)用户界面将得到改进,以适应新功能和方便导航。基因表达报告页面将被重组和扩展,以包括详细的基因摘要信息、与基因相关的出版物和多个物种的基因表达信息。用户友好的查询功能将扩展到包括按OMIM人类疾病基因和基因本体论术语进行搜索。通过这些增强,艺妓将继续为生物医学研究提供宝贵和全面的资源。
相关性:该项目的目标是增强鸡胚胎的一个重要的现有基因表达资源,鸡胚胎是公认的人类疾病的生物医学模型。这些服务将提供宝贵的信息,将有助于在各种相关领域作出努力,以查明人类疾病的潜在机制。
英文摘要
DESCRIPTION (Provided by Applicant): A central paradigm of biomedical research is that understanding gene function will ultimately lead to improvements in human health. A crucial first step is to know where and when genes are expressed during embryogenesis and in the adult. The chicken embryo provides many advantages for large-scale expression screening, including striking similarities to human, low expense, and a long history as an experimental model organism. The goal of this renewal application is to continue support and expansion of the GEISHA (gallus expression in situ hybridization analysis) gene expression database, an established community resource for chicken embryo in situ hybridization gene expression information and associated genomic metadata. Specific aims of this application are (1) to populate the GEISHA database with chicken gene expression information arising from targeted high throughput in situ hybridization screens, from the scientific literature, and from other researchers. High throughput in situ hybridization analyses will be performed to determine the expression patterns of developmental regulatory genes. In situ hybridization images and associated information will also be curated from publications and obtained from researchers. 2) The GEISHA database will be expanded to encompass new types of information and features. In situ hybridization images and associated data will be exchanged with other gene expression projects to enable cross-species display of expression information locally on each platform. The BioMart data integration system and a publication management system will also be added to enhance search and retrieval capabilities and to display gene related publications. 3) The user interface will be enhanced to accommodate new features and to facilitate navigation. Gene Expression Report pages will be reorganized and expanded to include detailed gene summary information, gene-related publications, and gene expression information for multiple species. User-friendly query features will be expanded to include searching by OMIM human disease gene and Gene Ontology terms. Through these enhancements, GEISHA will continue to provide a valuable and comprehensive resource for biomedical research.
RELEVANCE: The objective of this project is to enhance an important existing gene expression resource for the chicken embryo, a recognized biomedical model of human disease. These services will provide valuable information that will assist efforts across a wide variety of related fields towards the identification of mechanisms underlying human diseases.
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