In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
30 authors.
Patrick HartProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA.
D R ManiProteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA.
Sue C BodineOklahoma Medical Research Foundation, Oklahoma, University of Oklahoma, Oklahoma City, OK.ORCID 0000-0002-5742-9145 Joseph A HoumardDepartment of Kinesiology, Human Performance Laboratory, East Carolina University, Greenville, NC.
Nicolas MusiCedars Sinai Medical Center, Los Angeles, CA.
Ashley Y XiaNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health.ORCID 0000-0002-9534-8506 Bret H GoodpasterAdventHealth Orlando, Translational Research Institute, Orlando, FL.
MoTrPAC Study Group
Funding
MoTrPAC Supplemental Funding for MillerU24AR071113 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jon Peter Durda, Karyn A Esser · 2017 to 2026
$28.8MPAGES: Physical Activity Genomics, Epigenomics/transcriptomics SiteU24DK112331 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI STUART C. SEALFON, Martin John Walsh · 2017 to 2026
$18.5MStanford/Salk MoTrPAC Site for Genomes, Epigenomes and TranscriptomesU24DK112348 · NIDDK · STANFORD UNIVERSITY · PI Stephen Montgomery, MICHAEL P. SNYDER · 2017 to 2026
$18.4MMolecular Transducers of Physical Activity Consortium Adult Clinical CenterU01AR071130 · NIAMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MUSI, NICOLAS, RASMUSSEN, BLAKE B · 2017 to 2024
$17.7MProMoTr: A Proteomics Center for MoTrPACU24DK112349 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI Joshua N. Adkins · 2017 to 2026
$17.5MThe Exercise and Physical Activity Collaborative Team (ExPACT): a Proposed MoTrPAC Clinical CenterU01AR071133 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BUFORD, THOMAS W, GOODPASTER, BRET H · 2017 to 2024
$16.7MA Biochemical Roadmap of Exercise Signaling - Pilot Project for MoTrPAC ConsortiumU24DK112340 · NIDDK · BROAD INSTITUTE, INC. · PI STEVEN A CARR, Clary B Clish · 2017 to 2026
$16.2MMoTrPAC DXA Quality ControlU01AR071128 · NIAMS · DUKE UNIVERSITY · PI HOUMARD, JOSEPH A, KRAUS, WILLIAM E · 2017 to 2025
$15.2MMolecular Transducers of Physical Activity Consortium - Colorado Clinical CenterU01AR071124 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI KOHRT, WENDY M · 2017 to 2024
$14.5MStanford MoTrPAC Bioinformatics CenterU24OD026629 · OD · STANFORD UNIVERSITY · PI ASHLEY, EUAN A, WHEELER, MATTHEW THOMAS · 2018 to 2023
$13.9MMichigan MoTrPAC Chemical Analysis Site (MiCAS)U24DK112342 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHARLES F BURANT, CHARLES ROBERT EVANS · 2017 to 2026
$12.6MPennington MoTrPAC Adults - RenewalU01AR071160 · NIAMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RAVUSSIN, ERIC · 2017 to 2024
$11.0MNIAMS NIH HHS U01 AR071124NIAMS NIH HHS U01 AR071128NIAMS NIH HHS U01 AR071130NIAMS NIH HHS U01 AR071133NIAMS NIH HHS U01 AR071150NIAMS NIH HHS U01 AR071158NIAMS NIH HHS U01 AR071160NIAMS NIH HHS U24 AR071113NIA NIH HHS U01 AG055133NIA NIH HHS U01 AG055135NIA NIH HHS U01 AG055137NIA NIH HHS U01 AG070928NIA NIH HHS U01 AG070959NIA NIH HHS U01 AG070960NIDDK NIH HHS U24 DK112326NIDDK NIH HHS U24 DK112331NIDDK NIH HHS U24 DK112340NIDDK NIH HHS U24 DK112341NIDDK NIH HHS U24 DK112342NIDDK NIH HHS U24 DK112348NIDDK NIH HHS U24 DK112349NIH HHS U24 OD026629
6 · The paper itselfAbstract
The Molecular Transducers of Physical Activity Consortium (MoTrPAC) was established to systematically characterize the molecular basis of the health benefits of exercise. Here, we present the integrative, multi-omics response of human skeletal muscle to acute endurance (EE) and resistance (RE) exercise. Distinct temporal responses were observed, with changes in ATAC-seq, phosphoproteome, and metabolome occurring before changes in the transcriptome and proteome. These distinct temporal multi-omic dynamics were used to identify transcriptional regulatory hubs converging around MEF2A and NFIC regulation of autophagy, angiogenesis and metabolism. Further, early RE-specific phosphoproteome signatures counteracted epigenetic modifications and downregulated transcripts involved in protein turnover. Additional findings include suppression of HIPK2/3 kinase signatures linked to the acute exercise regulation of sarcomeric proteins TTN, NEB, ANKRD2 and LMOD2. Our data demonstrate distinct temporal regulation across the multi-omic landscape of human skeletal muscle, with EE and RE eliciting common and unique molecular signatures.
Identifiers
PMID41867825
PMCPMC13001352
What OpenQuestion holds
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LicenceCC BY
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