Evidence map›Paper›PMID 37292698›Full record

ArticlebioRxiv : the preprint server for biology2023

Single-cell transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states associated with senescence.

Lauren D Walter, Jessica L Orton, Ern Hwei Hannah Fong, Viviana I Maymi, Brian D Rudd, Jennifer H Elisseeff, Benjamin D Cosgrove

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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 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

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Lauren D WalterGenetics, Genomics and Development Graduate Program, Cornell University, Ithaca, NY, USA.
Jessica L OrtonMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Ern Hwei Hannah FongMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Viviana I MaymiDepartment of Microbiology & Immunology, Cornell University, Ithaca, NY, USA.
Brian D RuddGenetics, Genomics and Development Graduate Program, Cornell University, Ithaca, NY, USA.
Jennifer H ElisseeffTranslational Tissue Engineering Center, Wilmer Eye Institute, and Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Benjamin D CosgroveGenetics, Genomics and Development Graduate Program, Cornell University, Ithaca, NY, USA.
Cornell University · USSaint Meinrad Seminary and School of Theology · USJohns Hopkins University · US

Funding

Biomaterials-directed regenerative immunotherapiesDP1AR076959 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI ELISSEEFF, JENNIFER H · 2019 to 2023
$5.7M
LONGITUDINAL STUDY OF GENERATIONS AND MENTAL HEALTHR01AG007977 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SILVERSTEIN, MERRIL D. · 1998 to 2008
$5.5M
Mechanisms Limiting Neonatal ImmunityR01AI105265 · NIAID · CORNELL UNIVERSITY · PI RUDD, BRIAN DAVID · 2014 to 2023
$4.0M
Revealing muscle stem cell heterogeneity in mice and humans through deep single-cell analysisR01AG058630 · NIA · CORNELL UNIVERSITY · PI COSGROVE, BENJAMIN DAVID · 2018 to 2022
$2.9M
Research and Career Training in Vertebrate Developmental GenomicsT32HD057854 · NICHD · CORNELL UNIVERSITY · PI SCHIMENTI, JOHN C · 2010 to 2020
$1.3M
A Longitudinal Study of Generations and Mental HealthR56AG007977 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SILVERSTEIN, MERRIL D. · 2009 to 2009
$500k
Regulation of CD8+ T cell exhaustion by let-7/Lin28b in different stages of lifeF30OD032097 · OD · CORNELL UNIVERSITY · PI Viviana Isabel Maymi · 2021 to 2026
$198k
NIAID NIH HHS R01 AI105265NIAMS NIH HHS DP1 AR076959NIA NIH HHS R01 AG007977NIA NIH HHS R01 AG058630NIA NIH HHS R56 AG007977NICHD NIH HHS T32 HD057854NIH HHS F30 OD032097
6 · The paper itself

Abstract

Skeletal muscle regeneration is driven by the interaction of myogenic and non-myogenic cells. In aging, regeneration is impaired due to dysfunctions of myogenic and non-myogenic cells, but this is not understood comprehensively. We collected an integrated atlas of 273,923 single-cell transcriptomes from muscles of young, old, and geriatric mice (~5, 20, 26 months-old) at six time-points following myotoxin injury. We identified eight cell types, including T and NK cells and macrophage subtypes, that displayed accelerated or delayed response dynamics between ages. Through pseudotime analysis, we observed myogenic cell states and trajectories specific to old and geriatric ages. To explain these age differences, we assessed cellular senescence by scoring experimentally derived and curated gene-lists. This pointed to an elevation of senescent-like subsets specifically within the self-renewing muscle stem cells in aged muscles. This resource provides a holistic portrait of the altered cellular states underlying skeletal muscle regenerative decline across mouse lifespan.

Identifiers

PMID37292698
PMCPMC10245980
OpenAlexW4378363599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.