Evidence map›Paper›PMID 28893664›Full record

ArticleGene2017

Single cell transcriptome analysis of muscle satellite cells reveals widespread transcriptional heterogeneity.

Dong Seong Cho, Jason D Doles

Abstract read
In one paragraph

Article in Gene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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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

2 authors.

Dong Seong ChoDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: cho.dong@mayo.edu.
Jason D DolesDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: doles.jason@mayo.edu.

Funding

Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI COHEN, PETER A · 2004 to 2018
$32.7M
Role of Vav1 protooncogene in pancreatic cancerP20CA102701 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI PETERSEN, GLORIA M. · 2003 to 2003
$1.5M
Post-transcriptional Regulation of Satellite Cell FunctionR00AR066696 · NIAMS · MAYO CLINIC ROCHESTER · PI DOLES, JASON · 2016 to 2018
$961k
NCI NIH HHS P20 CA102701NCI NIH HHS P50 CA102701NIAMS NIH HHS R00 AR066696
6 · The paper itself

Abstract

Tissue specific stem cells are indispensable contributors to adult tissue maintenance, repair, and regeneration. In skeletal muscle, satellite cells (SCs) are the resident muscle stem cell population and are required to maintain skeletal muscle homeostasis throughout life. Increasing evidence suggests that SCs are a heterogeneous cell population with substantial biochemical and functional diversity. A major limitation in the field is an incomplete understanding of the nature and extent of this cellular heterogeneity. Single cell analyses are well suited to addressing this issue, especially when coupled to unbiased profiling paradigms such as high throughout RNA sequencing. We performed single cell RNA sequencing (scRNA-seq) on freshly isolated muscle satellite cells and found a surprising degree of heterogeneity at multiple levels, from muscle-specific transcripts to the broader SC transcriptome. We leveraged several comparative bioinformatics techniques and found that individual SCs enrich for unique transcript clusters. We propose that these gene expression "fingerprints" may contribute to observed functional SC diversity. Overall, these studies underscore the importance of several established SC signaling pathways/processes on a single cell level, implicate novel regulators of SC heterogeneity, and lay the groundwork for further investigation into SC heterogeneity in health and disease.

Indexed as

TranscriptomeAnimalsGene Expression ProfilingMiceSatellite Cells, Skeletal MuscleSingle-Cell AnalysisHeterogeneityMuscle stem cellSatellite cellscRNA-seqSingle cellTranscriptome

Identifiers

PMID28893664
PMCPMC5659767

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Registered trials

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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.