Evidence map›Paper›PMID 34965030›Full record

ArticleClinical and translational medicine2021

Single-cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity.

Zheng Wang, Chengyan Chai, Rui Wang, Yimei Feng, Lei Huang, Yiming Zhang, Xia Xiao, Shijie Yang, Yunfang Zhang, Xi Zhang

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
8.6field-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

101 citing papers in PubMed, 148 citations in OpenAlex.

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  14. CAP-CD56Bioactive materials · 2026
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  19. 3D-bioprinted adipose-derived stem cell-secreted GAS6Journal of nanobiotechnology · 2026
    Article
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41 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

10 authors at 2 institutions in 1 country.

Zheng WangMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Chengyan ChaiMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Rui WangMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Yimei FengMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Lei HuangDepartment of Urology, the Second Affiliated Hospital, Army Military Medical University, Chongqing, China.
Yiming ZhangDepartment of Plastic and Cosmetic Surgery, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Xia XiaoTime Plastic Surgery Hospital, Chongqing, China.
Shijie YangMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Yunfang ZhangMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.
Xi ZhangMedical Center of Hematology, the Second Affiliated Hospital, Army Medical University, Chongqing, China.ORCID 0000-0002-8548-2832
Army Medical University · CNPlastic Surgery Hospital · CN

Funding

National Key research and Development Program of China 2017YFA0105502National Natural Science Foundation of China 82020108004Natural Science Foundation of Chongqing cstc2019jcyj-msxmX0421Translational Research Grant of NCRCH 2020ZKZC02
6 · The paper itself

Abstract

backgroundThe heterogeneity of mesenchymal stem cells (MSCs) is poorly understood, thus limiting clinical application and basic research reproducibility. Advanced single-cell RNA sequencing (scRNA-seq) is a robust tool used to analyse for dissecting cellular heterogeneity. However, the comprehensive single-cell atlas for human MSCs has not been achieved.

methodsThis study used massive parallel multiplexing scRNA-seq to construct an atlas of > 130 000 single-MSC transcriptomes across multiple tissues and donors to assess their heterogeneity. The most widely clinically utilised tissue resources for MSCs were collected, including normal bone marrow (n = 3), adipose (n = 3), umbilical cord (n = 2), and dermis (n = 3).

resultsSeven tissue-specific and five conserved MSC subpopulations with distinct gene-expression signatures were identified from multiple tissue origins based on the high-quality data, which has not been achieved previously. This study showed that extracellular matrix (ECM) highly contributes to MSC heterogeneity. Notably, tissue-specific MSC subpopulations were substantially heterogeneous on ECM-associated immune regulation, antigen processing/presentation, and senescence, thus promoting inter-donor and intra-tissue heterogeneity. The variable dynamics of ECM-associated genes had discrete trajectory patterns across multiple tissues. Additionally, the conserved and tissue-specific transcriptomic-regulons and protein-protein interactions were identified, potentially representing common or tissue-specific MSC functional roles. Furthermore, the umbilical-cord-specific subpopulation possessed advantages in immunosuppressive properties.

conclusionIn summary, this work provides timely and great insights into MSC heterogeneity at multiple levels. This MSC atlas taxonomy also provides a comprehensive understanding of cellular heterogeneity, thus revealing the potential improvements in MSC-based therapeutic efficacy.

Indexed as

Genetic HeterogeneityMesenchymal Stem CellsGene Expression ProfilingHumansSingle-Cell Analysisextracellular matrixheterogeneitymesenchymal stem cellssingle-cell RNA sequencing

Identifiers

PMID34965030
PMCPMC8715893
OpenAlexW4200625302

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.