Evidence map›Paper›PMID 32624006›Full record

ArticleSkeletal muscle2020

A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations.

Andrea J De Micheli, Jason A Spector, Olivier Elemento, Benjamin D Cosgrove

Abstract read
In one paragraph

Article in Skeletal muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers.

0numbers the graph read from it
0cells of the map it votes in
138citing 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

138 citing papers in PubMed.

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78 more citing papers are in PubMed but not listed here.

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

4 authors.

Andrea J De MicheliMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Jason A SpectorMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Olivier ElementoEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
Benjamin D CosgroveMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA. bdc68@cornell.edu.ORCID 0000-0003-2164-350X

Funding

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
NIA NIH HHS R01 AG058630NIA NIH HHS R01AG058630
6 · The paper itself

Abstract

Single-cell RNA-sequencing (scRNA-seq) facilitates the unbiased reconstruction of multicellular tissue systems in health and disease. Here, we present a curated scRNA-seq dataset of human muscle samples from 10 adult donors with diverse anatomical locations. We integrated ~ 22,000 single-cell transcriptomes using Scanorama to account for technical and biological variation and resolved 16 distinct populations of muscle-resident cells using unsupervised clustering of the data compendium. These cell populations included muscle stem/progenitor cells (MuSCs), which bifurcated into discrete "quiescent" and "early-activated" MuSC subpopulations. Differential expression analysis identified transcriptional profiles altered in the activated MuSCs including genes associated with aging, obesity, diabetes, and impaired muscle regeneration, as well as long non-coding RNAs previously undescribed in human myogenic cells. Further, we modeled ligand-receptor cell-communication interactions and observed enrichment of the TWEAK-FN14 pathway in activated MuSCs, a characteristic signature of muscle wasting diseases. In contrast, the quiescent MuSCs have enhanced expression of the EGFR receptor, a recognized human MuSC marker. This work provides a new benchmark reference resource to examine human muscle tissue heterogeneity and identify potential targets in MuSC diversity and dysregulation in disease contexts.

Indexed as

TranscriptomeCells, CulturedCytokine TWEAKErbB ReceptorsGene Expression ProfilingHumansMyoblastsReference StandardsSingle-Cell AnalysisTWEAK ReceptorCytokine TWEAKErbB ReceptorsTWEAK Receptor

Identifiers

PMID32624006
PMCPMC7336639

What OpenQuestion holds

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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.