Evidence map›Paper›PMID 32769974›Full record

ArticleNature communications2020

Single-cell analysis uncovers fibroblast heterogeneity and criteria for fibroblast and mural cell identification and discrimination.

Lars Muhl, Guillem Genové, Stefanos Leptidis, Jianping Liu, Liqun He, Giuseppe Mocci, Ying Sun, Sonja Gustafsson, Byambajav Buyandelger, Indira V Chivukula and 8 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. 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 436 papers.

0numbers the graph read from it
0cells of the map it votes in
436citing papers in PubMed
28.7field-weighted citation impact, top 1% 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

436 citing papers in PubMed, 653 citations in OpenAlex.

  1. Review
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  3. Review
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  5. Gfpt2 modulates fibroblast activation by glutathione metabolism.Journal of molecular and cellular cardiology · 2026
    Article
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  20. A reference protein atlas of the adult mouse brain vasculature.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 3 countries.

Lars MuhlKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden. Lars.Muhl@ki.se.ORCID http://orcid.org/0000-0003-0952-0507
Guillem GenovéKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.ORCID http://orcid.org/0000-0002-8558-3107
Stefanos LeptidisKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.ORCID http://orcid.org/0000-0003-0172-4193
Jianping LiuKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.ORCID http://orcid.org/0000-0002-7336-3895
Liqun HeDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin Neurological Institute, Key Laboratory of Post-Neuroinjury, Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, 300052, China.
Giuseppe MocciKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Ying SunDepartment of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammerskjölds väg 20, SE-75185, Uppsala, Sweden.
Sonja GustafssonKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Byambajav BuyandelgerKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Indira V ChivukulaKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Åsa SegerstolpeKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Elisabeth RaschpergerKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Emil M HanssonKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Johan L M BjörkegrenKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.ORCID http://orcid.org/0000-0003-1945-7425
Xiao-Rong PengBioscience Metabolism, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM) BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Michael VanlandewijckKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Urban LendahlKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden.
Christer BetsholtzKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre, Blickagången 6, SE-14157, Huddinge, Sweden. Christer.Betsholtz@ki.se.ORCID http://orcid.org/0000-0002-8494-971X
Karolinska Institutet · SEUppsala University · SEAstraZeneca (Sweden) · SEBroad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many important cell types in adult vertebrates have a mesenchymal origin, including fibroblasts and vascular mural cells. Although their biological importance is undisputed, the level of mesenchymal cell heterogeneity within and between organs, while appreciated, has not been analyzed in detail. Here, we compare single-cell transcriptional profiles of fibroblasts and vascular mural cells across four murine muscular organs: heart, skeletal muscle, intestine and bladder. We reveal gene expression signatures that demarcate fibroblasts from mural cells and provide molecular signatures for cell subtype identification. We observe striking inter- and intra-organ heterogeneity amongst the fibroblasts, primarily reflecting differences in the expression of extracellular matrix components. Fibroblast subtypes localize to discrete anatomical positions offering novel predictions about physiological function(s) and regulatory signaling circuits. Our data shed new light on the diversity of poorly defined classes of cells and provide a foundation for improved understanding of their roles in physiological and pathological processes.

Indexed as

Cell DifferentiationAnimalsCell SeparationCoronary VesselsExtracellular MatrixFibroblastsFlow CytometryIntestinesMaleMesenchymal Stem CellsMiceMuscle, SkeletalMuscle, Smooth, VascularMyocardiumMyocytes, Smooth MusclePericytes

Identifiers

PMID32769974
PMCPMC7414220
OpenAlexW3048152017

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.