Stanford MoTrPAC Bioinformatics Center

斯坦福 MoTrPAC 生物信息学中心

• 批准号: 10706030
• 负责人: Euan A Ashley
• 金额: $ 69.97万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2023-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10706030
• 关键词: Acute; Address; Administrative Supplement; Animal Model; Binding; Bioinformatics; Biological; Biology; Catalogs; Chronic; Collaborations; Communities; Custom; Data; Data Set; Disease; Exercise; Funding; Generations; Goals; Health; Human; Intervention; Mission; Molecular; Phenotype; Physical Exercise; Physical activity; Recording of previous events; Reproducibility; Research; Research Personnel; Research Training; Resources; Tissues; Training; Transducers; Validation; analysis pipeline; computerized data processing; data ecosystem; data harmonization; data modeling; data resource; data standards; empowered; experience; improved; innovation; insight; multiple omics; novel; response; tool; transcriptomics; usability

Abstract Few interventions have been shown to be as beneficial to human health as physical exercise, yet we remain largely ignorant of the mechanisms by which those potent effects are transduced. The Molecular Transducers of Physical Activity Consortium examines the response to acute and chronic exercise at multiple scales and in multiple tissues across thousands of humans and in animal models. The studies of the Consortium combine state of the art phenotyping with molecular omics approaches. Building on our long history of analytical innovation in high throughput biology and experience in the analysis of perhaps the largest multi-omic study funded to date, the Stanford MoTrPAC Bioinformatics Center provides core compute, storage and analytic expertise to the MoTrPAC investigators. In this administrative supplement, the MoTrPAC BIC proposes to formally join the CFDE; to contribute to data organization to enhance MoTrPAC dataset FAIRness; to regular interact with other CFDE entities; and to advance the mission of the Common Fund Data Ecosystem. We propose to interface and collaborate with the Common Fund Data Ecosystem to improve the interaction of MoTrPAC data with other Common Fund data resources. Aim 1 is focused on develop data standardizations and reproducible analysis pipelines for various ‘omes in collaboration with the CF DCCs that can be repurposed and customized by the scientific community; we will start with transcriptomic data processing optimization in collaboration with several CFDE entities. Aim 2 proposes to harmonize the data catalog of the MoTrPAC BIC with the CFDE data model and to record and analyze user experience and deploy tools and training for the research community to easily use existing datasets to address novel cross-cutting biological questions . We expect that with the above aims and activities, we will contribute towards CFDE’s long term goal of developing and deploying resources and tools, training materials, empowering the research community to use CF data sets for novel scientific research, hypothesis generation, discovery, and validation, leading to new insights into health and disease.

抽象的 很少有干预措施被证明像体育锻炼一样有益于人类健康，但我们仍然 很大程度上不知道这些有效作用的转导机制。 身体活动协会在多个尺度和范围内检查了对急性和慢性运动的反应 该联盟的研究结合了数千名人类和动物模型的多个组织。 基于我们悠久的分析历史，采用分子组学方法进行最先进的表型分析。 高通量生物学方面的创新以及也许是最大的多组学研究分析方面的经验 迄今为止，斯坦福 MoTrPAC 生物信息学中心获得资助，提供核心计算、存储和分析 在本行政补充文件中，MoTrPAC BIC 建议向 MoTrPAC 调查人员提供专业知识。 正式加入 CFDE；为数据组织做出贡献，以提高 MoTrPAC 数据集的公平性； 与其他 CFDE 实体互动；并推进共同基金数据生态系统的使命。 建议与共同基金数据生态系统进行对接和协作，以改善 MoTrPAC 数据与其他共同基金数据资源的目标 1 侧重于开发数据标准化。 以及与 CF DCC 合作的各种“omes”的可重复分析流程 由科学界重新利用和定制；我们将从转录组数据处理开始 目标 2 建议与多个 CFDE 实体合作进行优化。 MoTrPAC BIC 具有 CFDE 数据模型并记录和分析用户体验并部署工具和 为研究界提供培训，使其能够轻松使用现有数据集来解决新的跨领域生物学问题 问题 我们期望通过上述目标和活动，我们将为 CFDE 的长期目标做出贡献。 开发和部署资源和工具、培训材料，使研究界能够 使用 CF 数据集进行新颖的科学研究、假设生成、发现和验证，从而产生新的结果 对健康和疾病的见解。