Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells.
Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells.
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单细胞转录组分析揭示间充质干细胞的细胞异质性。
DOI:
10.1016/j.gpb.2022.01.005
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发表时间:
2022-02
影响因子:
9.5
通讯作者:
Wang, Qian-Fei
中科院分区:
文献类型:
--
作者:
Zhang, Chen;Han, Xueshuai;Liu, Jingkun;Chen, Lei;Lei, Ying;Chen, Kunying;Si, Jia;Wang, Tian-yi;Zhou, Hui;Zhao, Xiaoyun;Zhang, Xiaohui;An, Yihua;Li, Yueying;Wang, Qian-Fei
关键词:
Ex vivo-expanded mesenchymal stem cells (MSCs) have been demonstrated to be a heterogeneous mixture of cells exhibiting varying proliferative, multipotential, and immunomodulatory capacities. However, the exact characteristics of MSCs remain largely unknown. By single-cell RNA sequencing of 61,296 MSCs derived from bone marrow and Wharton’s jelly, we revealed five distinct subpopulations. The developmental trajectory of these five MSC subpopulations was mapped, revealing a differentiation path from stem-like active proliferative cells (APCs) to multipotent progenitor cells, followed by branching into two paths: 1) unipotent preadipocytes or 2) bipotent prechondro-osteoblasts that were subsequently differentiated into unipotent prechondrocytes. The stem-like APCs, expressing the perivascular mesodermal progenitor markers CSPG4/MCAM/NES, uniquely exhibited strong proliferation and stemness signatures. Remarkably, the prechondrocyte subpopulation specifically expressed immunomodulatory genes and was able to suppress activated CD3+ T cell proliferation in vitro, supporting the role of this population in immunoregulation. In summary, our analysis mapped the heterogeneous subpopulations of MSCs and identified two subpopulations with potential functions in self-renewal and immunoregulation. Our findings advance the definition of MSCs by identifying the specific functions of their heterogeneous cellular composition, allowing for more specific and effective MSC application through the purification of their functional subpopulations.
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影响因子:
7.5
作者:
Batsali AK;Pontikoglou C;Koutroulakis D;Pavlaki KI;Damianaki A;Mavroudi I;Alpantaki K;Kouvidi E;Kontakis G;Papadaki HA
通讯作者:
Papadaki HA
影响因子:
64.5
作者:
Baryawno, Ninib;Przybylski, Dariusz;Scadden, David T.
通讯作者:
Scadden, David T.
影响因子:
4
作者:
Barrett, Angela N.;Fong, Chui-Yee;Bongso, Ariff
通讯作者:
Bongso, Ariff
影响因子:
5.3
作者:
Jia, Zhaofeng;Wang, Shijin;Liu, Qisong
通讯作者:
Liu, Qisong
影响因子:
5.2
作者:
Baksh, Dolores;Yao, Raphael;Tuan, Rocky S.
通讯作者:
Tuan, Rocky S.