In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
10 authors.
Alexander D BrownThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-7982-9070 Annarita ScaramozzaThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Hanzhi ZhangThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0009-0000-6545-2399 Samiha MahinThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Nivedita SureshThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Takeshi TsusakaThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0009-0003-3749-9749 Susan EliazerThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Xuhui LiuThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-2418-0291 Brian FeeleyThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-9060-6695 Andrew S BrackThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Orthopedic Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-8798-7084 Funding
Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8MMuscle Satellite Cell Pool During AgingR01AR060868 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRACK, ANDREW S · 2011 to 2015
$1.7MBD FACSAria Fusion Cell SorterS10OD021822 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, MICHAEL R. · 2016 to 2016
$573kSingle cell activation dynamics as a predictor and regulator of aged MuSC dysfunction.R21AG063416 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRACK, ANDREW S · 2019 to 2020
$425kNIAMS NIH HHS R01 AR060868NIA NIH HHS R21 AG063416NIDDK NIH HHS P30 DK063720NIH HHS S10 OD021822
6 · The paper itselfAbstract
For efficient regeneration, muscle stem cells (MuSCs) transition out of quiescence through a series of progressively more activated states. During MuSC aging, transition through the earliest steps is the slowest and delayed, with the molecular regulators that govern this transition not well characterized. By analyzing the dynamic changes of MuSCs at the molecular (scRNA-Seq and Cell Painting) and phenotypic (heteromotility) level at single cell resolution we found that the Integrated Stress Response (ISR) Pathway is a critical regulator of MuSC transition states. Aged MuSCs have increased baseline ISR activity in quiescence that does not increase during activation to levels observed in adult MuSCs. Rapid and transient pharmacological ISR activation
Indexed as
activation dynamicsAgingintegrated stress responseISRIBmuscle stem cellsSal003state transitions
Identifiers
PMID41256688
PMCPMC12621805
What OpenQuestion holds
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