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.

摘要 很少有干预措施被证明是有益于人类健康的体育锻炼，但我们仍然 很大程度上不知道这些强效作用的传导机制。分子传感器 的身体活动联盟研究了急性和慢性运动的反应在多个尺度和 在数千人和动物模型中的多种组织中。联合联合收割机的研究 用分子组学方法进行表型分析的最新技术水平。基于我们长期的分析历史 在高通量生物学方面的创新和在分析可能是最大的多组学研究方面的经验 到目前为止，斯坦福大学MoTrPAC生物信息学中心提供核心计算、存储和分析 向MoTrPAC调查人员提供专业知识。在这份行政补充文件中，交通和公共行政部BIC建议： 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;定期 与其他CFDE实体互动;推进共同基金数据生态系统的使命。我们 建议与共同基金数据生态系统对接和协作，以改善 MoTrPAC数据与其他共同基金数据资源。目标1的重点是开发数据仓库 和可重复的分析管道，用于与CF DCC合作的各种'omes， 由科学界重新利用和定制;我们将从转录组数据处理开始 与几个CFDE实体合作进行优化。目标2提议协调联合国系统的数据目录， MoTrPAC BIC与CFDE数据模型，并记录和分析用户体验和部署工具， 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交叉生物学问题。 问题 .我们希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，授权研究界， 使用CF数据集进行新的科学研究，假设生成，发现和验证，从而产生新的 对健康和疾病的见解。