Stanford/Salk MoTrPAC Site for Genomes, Epigenomes and Transcriptomes

缺乏体力活动是许多健康问题的核心。尽管如此，我们还是有限地 了解赋予体力活动益处的分子组成及其 年龄、性别、遗传、环境和其他目标对组织的不同影响 生理、形态测量和代谢测量。识别这些分子签名有助于 为治疗和治疗提供新的机会。分子换能器的发展目标 人类体力活动联盟(MoTrPAC)将汇编一张全面的地图 响应身体活动而发生的分子变化，并在可能的情况下将这些变化联系起来 体力活动的好处。组学的应用将极大地促进这一地图的绘制 识别运动反应基因并将其在多个组织中的益处联系起来的技术 和背景。我们建议帮助构建这张地图，将其命名为斯坦福/索尔克MoTrPAC 基因组、表基因组和转录组(GET)化学分析中心。我们将利用我们的 有丰富的生产和分析经验，从事MoTrPAC书房设计，使生产高 高质量和低成本的基因组、表观基因组和转录本，并促进和参与 MoTrPAC生物信息学中心的生物信息学分析。主要活动将包括协调 以及与所有MoTrPAC站点的协作，从组织管理到数据交付。通过这些 我们将对3,000个基因组和至少40000个表观基因组和40000个转录本进行测序 在MoTrPAC动物和人类研究地点收集的样本。我们的网站将在多个层面上参与 从组织采集到序列图谱的质量控制。以通用数据格式生成的数据 将立即提供给MoTrPAC调查人员和生物信息学中心 谷歌云。此外，作为我们建议选址的一部分，并与MoTrPAC 指导委员会和调查人员，我们将利用我们在外体研究和 用ATAC-SEQ进行染色质可及性测序以进行两个早期试点，旨在阐明 体力活动引起的系统和分子变化。我们建议的其他功能 站点是分析机会，包括利用多个与运动相关的组学数据集，例如 作为DGN研究，我们有922的遗传数据、转录本和运动活动记录 人类和已经确定了多个差异表达的基因和环境基因 对运动作出反应的变种，以及针对基因和环境的多样化和新颖的组学方法， 多组学和纵向数据分析。我们的预期是，这种生产组合 经验、与锻炼相关的数据和新方法将支持多样化和有影响力的研究 在MoTrPAC中的结果。

Lack of physical activity is central to numerous health problems. Despite this, we have limited understanding of the molecular components which confer the benefit of physical activity and their diverse impacts across tissues with respect to age, sex, genetics, environment and other objective physiologic, morphometric, and metabolic measures. Identifying these molecular signatures offers to provide new opportunities for treatment and therapeutics. The goal of the Molecular Transducers of Physical Activity in Humans Consortium (MoTrPAC) is to assemble a comprehensive map of the molecular changes that occur in response to physical activity and, when possible, relate these changes to the benefits of physical activity. This map will be greatly facilitated by the application of –omics technologies to identify exercise-responsive genes and to relate their benefits across multiple tissues and contexts. We propose to aid in the construction of this map as the Stanford/Salk MoTrPAC Genome, Epigenome and Transcriptome (GET) Chemical Analysis Center. We will leverage our production and analysis experience to engage in MoTrPAC study design, enable the production of high quality and low cost genomes, epigenomes and transcriptomes and facilitate and engage in bioinformatics analysis with the MoTrPAC Bioinformatics Center. Key activities will include coordination and collaboration with all the MoTrPAC sites from tissue management to data delivery. Through these activities we will sequence 3000 genomes and at least 40000 epigenomes and 40000 transcriptomes for samples collected at MoTrPAC animal and human study sites. Our site will engage in multiple levels of quality control from tissue collection to sequence mapping. Generated data in common data formats will be immediately available to MoTrPAC investigators and the Bioinformatics Center through the Google Cloud. In addition, as part of our proposed site, and in coordination with both the MoTrPAC Steering Committee and investigators, we will leverage our expertise in both studies of exosomes and chromatin accessibility sequencing with ATAC-seq to conduct two early pilots that aim to elucidate the systemic and molecular changes in response to physical activity. Additional features of our proposed site are analytical opportunities that include leveraging multiple exercise-related –omics data sets, such as the DGN study where we have genetic data, transcriptomes and exercise activity recorded for 922 people and have already identified multiple differentially expressed genes and gene-by-environment variants in response to exercise, and diverse and novel -omics methods for gene-by-environment, multi-omics and longitudinal data analysis. Our expectation is that this combination of production experience, exercise-relevant data and novel methods will support diverse and impact research outcomes in the MoTrPAC.