grant

Molecular Transducers of Physical Activity (MoTrPAC)

Organization STANFORD UNIVERSITYLocation STANFORD, UNITED STATESPosted 12 Dec 2016Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY2025AddressAdoptedBioinformaticsBody TissuesChemicalsClinical DataCodeCoding SystemCollaborationsCommunitiesComplexDataData AnalysesData AnalysisData CollectionData Coordinating CenterData Coordination CenterData Management CoreData Management ResourcesData Management SystemData SetData Storage and RetrievalDevelopmentDimensionsDocumentationEducation and OutreachEducational workshopEnsureExerciseFAIR dataFAIR guiding principlesFAIR principlesFeedbackFindable, Accessible, Interoperable and Re-usableFindable, Accessible, Interoperable, and ReusableFundingFutureGenomicsHealth BenefitInfrastructureInstruction and OutreachLanguageLeadershipMetadataMethodsMissionModalityMolecularMultiomic DataNational Institutes of HealthNatureOn-Line SystemsOnline SystemsOrganizational EfficiencyOutcomePhasePhenotypePhysical activityPositionPositioning AttributePrivacyProteomicsPublicationsQuality ControlRandomized, Controlled TrialsRegulationReproducibilityResearchResearch ResourcesResourcesRetrievalScienceScientific PublicationSecureServicesSightSiteSystemTechniquesTimeTissuesTrainingTraining and OutreachTransducersTutoring and OutreachUnited States National Institutes of HealthVisionVisualizationWorkWorkshopage groupbio-informatics resourcebio-informatics toolbioinformatics resourcebioinformatics toolcloud basedcomplex datacomputerized data processingconferenceconventiondata disseminationdata ecosystemdata harmonizationdata hubdata integrationdata integritydata interpretationdata managementdata management and coordinating centerdata management centerdata pipelinedata processingdata resourcedata retrievaldata sharingdata sharing ecosystemdata standardizationdata standardsdata storagedata toolsdata visualizationdatabase of Genotypes and PhenotypesdbGaPdepositorydevelopmentaldifferential expressiondifferentially expressedepigenomicsexperienceharmonized datahigh dimensional datahuman dataimprovedinnovateinnovationinnovativeinsightinstrumentmeta datametabolism measurementmetabolomicsmetabonomicsmultidimensional datamultidimensional datasetsmultiomicsmultiple omic datamultiple omicsnovelonline computeroutreachpanomicsquality assurancerandomized control trialrepositoryresponsesharing hubsuccesssummitsymposiasymposiumtooltranscriptional differencestranscriptomicsusabilityvisual functionweb based
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Full Description

Project Summary
The Molecular Transducers of Physical Activity Consortium (MoTrPAC) is generating a vast multi-omic, multi-

tissue, multi-species dataset. With these data, the Consortium will better understand the molecular effects of

exercise. Managing and analyzing this multidimensional dataset present significant bioinformatics and data

management challenges and opportunities. The MoTrPAC Bioinformatics Center (BIC) at Stanford has been

actively working to address these challenges and develop solutions that will scale well beyond the scope of the

MoTrPAC project. Successes include developing clear data standards, cloud-based data pipelines, and

integrations with external bioinformatics resources. The BIC adopts a dual approach, simultaneously creating &

sharing innovative tools to enhance data usability, while also supporting the Consortium's critical tasks. For the

next phase of MoTrPAC, we propose three specific aims. Aim 1 expands the BIC’s data management and

processing framework, enhancing the existing system for efficient data management and processing. This

includes ongoing development of cloud-based pipelines, ensuring quality control and data integrity, expanding

the data management system for secure storage and seamless sharing, and adhering to FAIR principles

(Findability, Accessibility, Interoperability, and Re-use). These efforts will improve research efficiency,

reproducibility, and collaboration within the Consortium, as well as provide novel bioinformatics tools to the

wider scientific community. Aim 2 builds on previous expertise to advance methods for analyzing multi-omic,

multi-tissue, and cross-species data. We will facilitate integrated analysis using best practices across various

analytic stages, including quality control, differential expression analysis, and multi-omic integration across

tissues and clinical data. Additionally, we will develop cloud-based tools and infrastructure for sharing analysis

techniques within the Consortium and with the scientific community. These approaches will uncover not only

scientific insights but also a reproducible framework for multi-omic data analysis. Aim 3 seeks to disseminate

MoTrPAC data widely through multiple resources and external integrations. We will maximize the usability of

the MoTrPAC data resource for the scientific community. We will continually improve motrpac-datahub.org,

integrating tools for data queries and visualization, and share data and metadata with both external

repositories and the NIH Common Fund Data Ecosystem (CFDE). Alongside these efforts, outreach, training,

documentation, workshops, and tutorials will be provided to enhance user engagement. These approaches will

ensure broad accessibility and long-term usability of MoTrPAC data. With our established expertise,

experience, and tools, the BIC is well-prepared to continue serving the Consortium and fulfill the vision of

MoTrPAC, to uncover the molecular underpinnings of the health benefits of exercise.

Grant Number: 4U24OD036598-08
NIH Institute/Center: NIH

Principal Investigator: Euan Ashley

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