Cargando…

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

BACKGROUND: The 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 comprehensi...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zheng, Chai, Chengyan, Wang, Rui, Feng, Yimei, Huang, Lei, Zhang, Yiming, Xiao, Xia, Yang, Shijie, Zhang, Yunfang, Zhang, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715893/
https://www.ncbi.nlm.nih.gov/pubmed/34965030
http://dx.doi.org/10.1002/ctm2.650
_version_ 1784624217557303296
author Wang, Zheng
Chai, Chengyan
Wang, Rui
Feng, Yimei
Huang, Lei
Zhang, Yiming
Xiao, Xia
Yang, Shijie
Zhang, Yunfang
Zhang, Xi
author_facet Wang, Zheng
Chai, Chengyan
Wang, Rui
Feng, Yimei
Huang, Lei
Zhang, Yiming
Xiao, Xia
Yang, Shijie
Zhang, Yunfang
Zhang, Xi
author_sort Wang, Zheng
collection PubMed
description BACKGROUND: The 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. METHODS: This 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). RESULTS: Seven 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. CONCLUSION: In 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.
format Online
Article
Text
id pubmed-8715893
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-87158932022-01-06 Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity Wang, Zheng Chai, Chengyan Wang, Rui Feng, Yimei Huang, Lei Zhang, Yiming Xiao, Xia Yang, Shijie Zhang, Yunfang Zhang, Xi Clin Transl Med Research Articles BACKGROUND: The 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. METHODS: This 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). RESULTS: Seven 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. CONCLUSION: In 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. John Wiley and Sons Inc. 2021-12-29 /pmc/articles/PMC8715893/ /pubmed/34965030 http://dx.doi.org/10.1002/ctm2.650 Text en © 2021 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Wang, Zheng
Chai, Chengyan
Wang, Rui
Feng, Yimei
Huang, Lei
Zhang, Yiming
Xiao, Xia
Yang, Shijie
Zhang, Yunfang
Zhang, Xi
Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
title Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
title_full Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
title_fullStr Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
title_full_unstemmed Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
title_short Single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
title_sort single‐cell transcriptome atlas of human mesenchymal stem cells exploring cellular heterogeneity
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715893/
https://www.ncbi.nlm.nih.gov/pubmed/34965030
http://dx.doi.org/10.1002/ctm2.650
work_keys_str_mv AT wangzheng singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT chaichengyan singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT wangrui singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT fengyimei singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT huanglei singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT zhangyiming singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT xiaoxia singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT yangshijie singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT zhangyunfang singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity
AT zhangxi singlecelltranscriptomeatlasofhumanmesenchymalstemcellsexploringcellularheterogeneity