Evidence map›Paper›PMID 32198156›Full record

ArticleDevelopment (Cambridge, England)2020

Aging induces aberrant state transition kinetics in murine muscle stem cells.

Jacob C Kimmel, Ara B Hwang, Annarita Scaramozza, Wallace F Marshall, Andrew S Brack

Open access · hybridAbstract read
In one paragraph

Article in Development (Cambridge, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What 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 registry

The 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 literature

Who cites it

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
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  7. Machine Learning in Stem Cell Research: From Biological Data to Clinical Translation.Computational and structural biotechnology journal · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jacob C KimmelEli and Edythe Broad Center for Regenerative Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA.ORCID 0000-0002-8285-619X
Ara B HwangEli and Edythe Broad Center for Regenerative Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA.ORCID 0000-0002-8045-2474
Annarita ScaramozzaEli and Edythe Broad Center for Regenerative Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA.
Wallace F MarshallCenter for Cellular Construction, University of California, San Francisco, San Francisco, CA 94143, USA andrew.brack@ucsf.edu Wallace.Marshall@uscf.edu.ORCID 0000-0002-8467-5763
Andrew S BrackEli and Edythe Broad Center for Regenerative Medicine, University of California, San Francisco, 35 Medical Center Way, San Francisco, CA 94143, USA andrew.brack@ucsf.edu Wallace.Marshall@uscf.edu.ORCID 0000-0002-8798-7084
Broad Center · USUniversity of California, San Francisco · US

Funding

PREDOCTORAL TRAINING IN DEVELOPMENTAL BIOLOGYT32HD007470 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Todd Nystul · 1994 to 2026
$7.7M
Origins of Cell GeometryR35GM130327 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wallace Marshall · 2019 to 2026
$5.3M
NICHD NIH HHS T32 HD007470NIGMS NIH HHS R35 GM130327
6 · The paper itself

Abstract

Murine muscle stem cells (MuSCs) experience a transition from quiescence to activation that is required for regeneration, but it remains unknown if the trajectory and dynamics of activation change with age. Here, we use time-lapse imaging and single cell RNA-seq to measure activation trajectories and rates in young and aged MuSCs. We find that the activation trajectory is conserved in aged cells, and we develop effective machine-learning classifiers for cell age. Using cell-behavior analysis and RNA velocity, we find that activation kinetics are delayed in aged MuSCs, suggesting that changes in stem cell dynamics may contribute to impaired stem cell function with age. Intriguingly, we also find that stem cell activation appears to be a random walk-like process, with frequent reversals, rather than a continuous linear progression. These results support a view of the aged stem cell phenotype as a combination of differences in the location of stable cell states and differences in transition rates between them.

Indexed as

AnimalsCells, CulturedCellular SenescenceImmunohistochemistryKineticsMaleMiceMice, Inbred C57BLMuscle, SkeletalRNA-SeqStem CellsTime-Lapse ImagingAgingMuscle stem cellSingle cell RNA-seqState transitionStem cell activationTime-lapse imaging

Identifiers

PMID32198156
PMCPMC7225128
OpenAlexW3011017088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.