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 很少有干预措施能像体育锻炼那样对人类健康有益，但我们仍然保持 在很大程度上不了解这些有效效果的机制。分子传感器 体育锻炼联盟检查对急性和慢性运动的反应在多个尺度和 数千人和动物模型中的多个时间安排。财团的研究结合了 通过分子法学方法进行的最先进的表型。基于我们悠久的分析历史 高通量生物学的创新和分析可能最大的多摩变研究的经验 迄今为止，斯坦福Motrpac生物信息学中心提供了核心计算，存储和分析 MOTRPAC调查人员的专业知识。在这种行政补充中，Motrpac BIC提出的提议 正式加入CFDE；为数据组织做出贡献，以增强MOTRPAC数据集公平；常规 与其他CFDE实体互动；并促进共同基金数据生态系统的任务。我们 提议与通用基金数据生态系统进行互动和合作，以改善 MotRPAC数据带有其他常见基金数据资源。 AIM 1专注于开发数据标准化 以及可再现的分析管道，用于与CF DCC合作的各种'ome 由科学界重新使用和定制；我们将从转录组数据处理开始 与多个CFDE实体合作优化。 AIR 2提案以协调数据目录 具有CFDE数据模型的Motrpac BIC，并记录和分析用户体验和部署工具以及 研究社区的培训可以轻松使用现有数据集来解决新颖的跨切割生物学 问题 。我们期望有上述目标和活动，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，赋予研究界的能力 将CF数据集用于新颖的科学研究，假设产生，发现和验证，导致新的 对健康和疾病的见解。