PAGES: Physical Activity Genomics, Epigenomics/transcriptomics Site
PAGES: Physical Activity Genomics, Epigenomics/transcriptomics Site
批准号:
10318109
负责人:
STUART C. SEALFON
金额:
$262.41万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-12-08 至 2024-11-30
关键词:
ATAC-seqAreaBioinformaticsBiological AssayBudgetsChIP-seqChemicalsChromatinClinical ResearchCollaborationsCost efficiencyDataData AnalysesData Storage and RetrievalDatabasesDepositionDevelopmentDiseaseElementsFoundationsFundingGeneticGenomeGenomicsGoalsHealthHumanIndividualInfrastructureInstitutesKnowledgeLeadMetadataMethodsModelingMolecularMolecular AnalysisNew YorkOntologyPathway interactionsPhysical activityPilot ProjectsPreventionProductionProtocols documentationRat StrainsRattusResearch ActivityRisk FactorsSamplingScientistSiteTissue SampleTissuesTrainingTraining ActivityTransducersUniversitiesValidationWorkanalysis pipelinebasebisulfite sequencingdata exchangedata resourceepigenomicsexercise interventionexperiencefitnessgene productgenome sequencinghigh throughput analysishuman datahuman diseaseimprovedindividual responseinsightmachine learning algorithmmedical schoolsmethylomemortality riskpredictive modelingpreventprogramspublic databaseresponsesedentarysuccesstranscriptometranscriptome sequencingtranscriptomicsweb pageweb portalwhole genome
中文摘要
项目摘要
体力活动(PA)可预防或改善许多疾病,不运动排在第四位
全球死亡风险因素。PA的多种益处的分子机制还不是很清楚
明白了。体力活动分子传感器联盟(MoTrPAC)正在形成中
增进这一领域的知识。我们建议建立PAGE,一种体力活动基因组学,
表观基因组学/转录组学位点作为MoTrPAC的一个组成部分。佩奇将进行
对大鼠和人PA干预MoTrPAC样本的综合分析,有助于这些数据
公共数据库,帮助确定PA的候选分子传感器并阐明新的PA反应
机制,并帮助开发个人对PA反应的预测模型。PAGE化验网站:
位于西奈山的伊坎医学院、纽约基因组中心和布罗德研究所提供
支持这种大规模、全面的分子分析的基础设施、专业知识和经验
与PA相关的更改。Pages的目标是1.在第一年与MoTrPAC指导委员会合作
最终确定计划和协议;2.执行分析和分析,以帮助确定候选分子换能器
在大鼠模型中对PA的反应以及导致模型差异的途径,包括高深度
RNA-SEQ和全基因组亚硫酸盐测序(WGBS),并补充其他分析类型,如
根据初步结果进行CHIP-SEQ、ATAC-SEQ;3.对人体进行全面的检测和分析
MoTrPAC临床研究组织样本,包括RNA-SEQ、WGBS、H3K27ac芯片-SEQ、ATAC-SEQ和WALL
基因组测序。4.与MoTrPAC协作分析来自Pages和其他MoTrPAC的数据
分析位点,以确定候选PA传感器和分子机制,并开发预测
PA能力和对培训的反应模型。Pages和MoTrPAC计划的成功将
转变对分子网络的洞察,将PA转化为健康,创造无与伦比的
全面的公共广播数据资源,可以为深入推进公共广播事业提供基础
防治人类许多重大疾病。
英文摘要
Project Summary
Physical activity (PA) prevents or ameliorates a large number of diseases, and inactivity is the 4th leading
global mortality risk factor. The molecular mechanisms responsible for the diverse benefits of PA are not well
understood. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) is being formed to
advance knowledge in this area. We propose to establish PAGES, a Physical Activity Genomics,
Epigenomics/transcriptomics Site as an integral component of the MoTrPAC. PAGES will conduct
comprehensive analyses of the rat and human PA intervention MoTrPAC samples, contribute these data to
public databases, help identify candidate molecular transducers of PA and elucidate new PA response
mechanisms, and help develop predictive models of the individual response to PA. PAGES assay sites at
Icahn School of Medicine at Mount Sinai, New York Genome Center and Broad Institute provide the
infrastructure, expertise and experience to support this large scale, comprehensive analysis of molecular
changes associated with PA. PAGES aims are to 1. Work with the MoTrPAC Steering Committee in Year 1 to
finalize plans and protocols; 2. Perform assays and analyses to help Identify candidate molecular transducers
of the response to PA in rat models and the pathways responsible for model differences, including high-depth
RNA-seq and Whole Genome Bisulfite Sequencing (WGBS), supplemented by additional assay types such as
ChIP-seq, ATAC-seq based on initial results; 3. Perform comprehensive assays and analyses of the human
MoTrPAC clinical study tissue samples, including RNA-seq, WGBS, H3K27ac ChIP-seq, ATAC-seq and whole
genome sequencing. 4. Collaborate with the MoTrPAC to analyze data from PAGES and other MoTrPAC
analysis sites to identify candidate PA transducers and molecular mechanisms, and to develop predictive
models of PA capacity and response to training. The success of PAGES and the MoTrPAC program will
transform insight into the molecular networks that transduce PA into health, create an unparalleled
comprehensive public PA data resource, and can provide the foundation for profound advances in the
prevention and treatment of many major human diseases.
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Transcriptome variation in human tissues revealed by long-read sequencing.
长阅读测序揭示了人体组织中的转录组变化。
DOI:
10.1038/s41586-022-05035-y
发表时间:
2022-08
期刊:
NATURE
影响因子:
64.8
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[Glinos, Dafni A., Garborcauskas, Garrett, Hoffman, Paul, Ehsan, Nava, Jiang, Lihua, Gokden, Alper, Dai, Xiaoguang, Aguet, Francois, Brown, Kathleen L., Garimella, Kiran, Bowers, Tera, Costello, Maura, Ardlie, Kristin, Jian, Ruiqi, Tucker, Nathan R., Ellinor, Patrick T., Harrington, Eoghan D., Tang, Hua, Snyder, Michael, Juul, Sissel, Mohammadi, Pejman, MacArthur, Daniel G., Lappalainen, Tuuli, Cummings, Beryl]
通讯作者:
Cummings, Beryl
DataRemix: a universal data transformation for optimal inference from gene expression datasets.
DataRemix:一种通用数据转换,用于从基因表达数据集中进行最佳推理。
DOI:
10.1093/bioinformatics/btaa745
发表时间:
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期刊:
Bioinformatics (Oxford, England)
影响因子:
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A micromachined force sensing apparatus and method for human engineered cardiac tissue and induced pluripotent stem cell characterization.
用于人体工程心脏组织和诱导多能干细胞表征的微机械力传感装置和方法。
DOI:
10.1016/j.sna.2021.112874
发表时间:
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期刊:
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影响因子:
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作者:
[Turnbull,IreneC, Zhu,Weibin, Stillitano,Francesca, Chien,Chen-Chi, Gaitas,Angelo]
通讯作者:
Gaitas,Angelo
DOI:
10.1172/jci.insight.168793
发表时间:
2023-05-22
期刊:
JCI INSIGHT
影响因子:
8
作者:
[Sun, Yifei, Asano, Keiichi, Sedes, Lauriane, Cantalupo, Anna, Hansen, Jens, Iyengar, Ravi, Walsh, Martin J., Ramirez, Francesco]
通讯作者:
Ramirez, Francesco
PAGES: Physical Activity Genomics, Epigenomics/transcriptomics Site
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批准号:10083209
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