Evidence map›Paper›PMID 30890574›Full record

ArticleDevelopment (Cambridge, England)2019

Single cell analysis of adult mouse skeletal muscle stem cells in homeostatic and regenerative conditions.

Stefania Dell'Orso, Aster H Juan, Kyung-Dae Ko, Faiza Naz, Jelena Perovanovic, Gustavo Gutierrez-Cruz, Xuesong Feng, Vittorio Sartorelli

Erratum issuedAbstract read
In one paragraph

Article in Development (Cambridge, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 153 papers.

0numbers the graph read from it
0cells of the map it votes in
153citing 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

153 citing papers in PubMed.

  1. Article
  2. Article
  3. Elevated mitochondrial CaStem cell reports · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
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  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Stefania Dell'OrsoGenome Technology Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA stefania.dell'orso@nih.gov vittorio.sartorelli@nih.gov.ORCID 0000-0002-1306-2820
Aster H JuanLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA.
Kyung-Dae KoLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA.
Faiza NazGenome Technology Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA.
Jelena PerovanovicLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA.
Gustavo Gutierrez-CruzGenome Technology Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA.
Xuesong FengLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA.
Vittorio SartorelliLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, MD 208292, USA stefania.dell'orso@nih.gov vittorio.sartorelli@nih.gov.ORCID 0000-0002-9284-3675

Funding

Control of Myogenesis and Regulation of MyoD Post-Transcriptional ModificationsZIAAR041126 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI SARTORELLI, VITTORIO · 2009 to 2025
$28.7M
High Throughput Next Generation Sequencing: supports genomics and epigenomics research in muscle, skin, bone and autoimmune diseases.ZICAR041207 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI DELL'ORSO, STEFANIA · 2016 to 2025
$12.3M
REGULATION OF MYOD POST TRANSCRIPTIONAL MODIFICATIONSZ01AR041126 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI SARTORELLI, VITTORIO · 2000 to 2008
$2.4M
Intramural NIH HHS Z01 AR041126
6 · The paper itself

Abstract

Dedicated stem cells ensure postnatal growth, repair and homeostasis of skeletal muscle. Following injury, muscle stem cells (MuSCs) exit from quiescence and divide to reconstitute the stem cell pool and give rise to muscle progenitors. The transcriptomes of pooled MuSCs have provided a rich source of information for describing the genetic programs of distinct static cell states; however, bulk microarray and RNA sequencing provide only averaged gene expression profiles, blurring the heterogeneity and developmental dynamics of asynchronous MuSC populations. Instead, the granularity required to identify distinct cell types, states, and their dynamics can be afforded by single cell analysis. We were able to compare the transcriptomes of thousands of MuSCs and primary myoblasts isolated from homeostatic or regenerating muscles by single cell RNA sequencing. Using computational approaches, we could reconstruct dynamic trajectories and place, in a pseudotemporal manner, the transcriptomes of individual MuSC within these trajectories. This approach allowed for the identification of distinct clusters of MuSCs and primary myoblasts with partially overlapping but distinct transcriptional signatures, as well as the description of metabolic pathways associated with defined MuSC states.

Indexed as

HomeostasisRegenerationAnimalsCell SeparationCluster AnalysisComputational BiologyFlow CytometryGenomicsLeukocytes, MononuclearMiceMice, Inbred C57BLMuscle DevelopmentMuscle, SkeletalOligonucleotide Array Sequence AnalysisRNA-SeqSequence Analysis, RNAMouseMuscle regenerationMuscle stem cellsSatellite cellsSingle cell RNA-seq

Identifiers

PMID30890574
PMCPMC6602351

What OpenQuestion holds

Textmetadata
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.