Applied Research Section

应用研究室

• 批准号: 10332719
• 负责人: LAURA G REINHOLDT
• 金额: $ 11.92万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10332719
• 关键词: Address; Adverse event; Animal Model; Animal Welfare; Apical; Applied Research; Area; Big Data Methods; Cardiac Myocytes; Cell Line; Cells; Chemical Exposure; Chemicals; Communities; Complement; Computing Methodologies; Data; Data Analyses; Development; Diet; Disease; Distal; Economics; Environment; Evaluation; Event; Evolution; Explosion; Eye; Funding; Genes; Genetic; Genetic Services; Germ Lines; Goals; Growth; Health; Heritability; Housing; Human; In Vitro; Inbred Mouse; Inbred Strain; Inbred Strains Mice; Inbreeding; Infection; Infrastructure; Investigation; Laboratories; Laboratory mice; Measurement; Methodology; Molecular; Mutant Strains Mice; Pathway interactions; Phenotype; Physiological; Physiology; Pilot Projects; Pluripotent Stem Cells; Population; Property; Protocols documentation; Recombinants; Research; Resources; Safety; Services; Source; System; Technology; Testing; The Jackson Laboratory; Toxic effect; Toxicity Tests; Toxicology; Validation; Work; adverse outcome; biological systems; cell type; differentiation protocol; embryonic stem cell; experimental study; gene environment interaction; genetic approach; genetic information; genetic resource; high throughput screening; in vivo; interest; molecular scale; novel strategies; response; stem cell biology

PROJECT ABSTRACT Systems genetics endeavors to explain the integration, coordination, and expression of genetic information across phenotypes at all scales - molecular, cellular, physiological, and population; and across many contexts – health, disease, infection, environment, etc. These systems-level approaches operate on networks and have the potential to explain higher-order functions and emergent properties of biological systems. With the explosion of -omics technologies, advanced computational methods for big data analysis, and the availability of advanced genetic reference sequences for human and model organism populations, systems genetics approaches are more powerful than ever. Our proposed pilot project will generate the methodologies, capabilities, infrastructure, and proof-of-concept for an in vitro systems genetics service platform. This project is responsive to the rising interest in systems genetics resources, a key growth area for the MMRRC consortium. Moreover, while the scope of project is currently limited to the founder inbred strains of the CC/DO genetic reference populations, it complements other funded efforts in our laboratories and across the MMRRC consortium to develop resources from genetic reference laboratory mouse populations to support the growth of the systems genetics community.

项目摘要 系统遗传学致力于解释遗传信息的整合、协调和表达 在分子、细胞、生理和群体等所有尺度上跨越表型;并跨越许多背景 - 这些系统级方法在网络上运行， 解释生物系统的高阶功能和涌现特性的潜力。与 组学技术的爆炸，用于大数据分析的先进计算方法，以及 人类和模式生物群体的高级遗传参考序列，系统遗传学 方法比以往任何时候都更加强大。我们提议的试点项目将产生方法， 功能、基础设施和概念验证，用于体外系统遗传学服务平台。这个项目 是对系统遗传学资源日益增长的兴趣的回应，这是MMRRC的一个关键增长领域 财团此外，虽然项目范围目前仅限于CC/DO的创始近交系， 遗传参考群体，它补充了我们实验室和整个MMRRC的其他资助工作 联合会开发遗传参考实验室小鼠种群资源，以支持 系统遗传学社区。