Single-Cell Transcriptome Integration Analysis Reveals the Correlation Between Mesenchymal Stromal Cells and Fibroblasts

被引:16
|
作者
Fan, Chuiqin [1 ]
Liao, Maochuan [1 ]
Xie, Lichun [2 ]
Huang, Liangping [1 ]
Lv, Siyu [3 ]
Cai, Siyu [1 ]
Su, Xing [1 ]
Wang, Yue [3 ]
Wang, Hongwu [3 ]
Wang, Manna [3 ]
Liu, Yulin [1 ]
Wang, Yu [3 ]
Guo, Huijie [3 ]
Yang, Hanhua [2 ]
Liu, Yufeng [4 ]
Wang, Tianyou [5 ]
Ma, Lian [1 ,2 ,3 ]
机构
[1] Shantou Univ Med Coll, Affiliated Hosp 2, Dept Pediat, Shantou, Peoples R China
[2] Guangzhou Med Univ, Women & Childrens Med Ctr, Affiliated Hosp 3, Dept Pediat, Guangzhou, Guangdong, Peoples R China
[3] China Med Univ, Shenzhen Childrens Hosp, Dept Hematol & Oncol, Shenzhen, Guangdong, Peoples R China
[4] Zhengzhou Univ, Affiliated Hosp 1, Dept Pediat, Zhengzhou, Henan, Peoples R China
[5] Capital Med Univ, Beijing Childrens Hosp, Dept Hematol & Oncol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
fibroblast; mesenchymal stromal cells; integration analysis; pericytes; single-cell transcriptome sequencing; STEM-CELLS; IN-VITRO; DIFFERENTIATION; EXPRESSION; STRATEGIES; DIVERSITY; FORESKIN; DISEASE; MARKERS; TISSUE;
D O I
10.3389/fgene.2022.798331
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Mesenchymal stromal cells (MSCs) and fibroblasts show similar morphology, surface marker expression, and proliferation, differentiation, and immunomodulatory capacities. These similarities not only blur their cell identities but also limit their application.Methods: We performed single-cell transcriptome sequencing of the human umbilical cord and foreskin MSCs (HuMSCs and FSMSCs) and extracted the single-cell transcriptome data of the bone marrow and adipose MSCs (BMSCs and ADMSCs) from the Gene Expression Omnibus (GEO) database. Then, we performed quality control, batch effect correction, integration, and clustering analysis of the integrated single-cell transcriptome data from the HuMSCs, FMSCs, BMSCs, and ADMSCs. The cell subsets were annotated based on the surface marker phenotypes for the MSCs (CD105(+), CD90(+), CD73(+), CD45(-), CD34(-), CD19(-), HLA-DRA(-), and CD11b(-)), fibroblasts (VIM+, PECAM1(-), CD34(-), CD45(-), EPCAM(-), and MYH11(-)), and pericytes (CD146(+), PDGFRB(+), PECAM1(-), CD34(-), and CD45(-)). The expression levels of common fibroblast markers (ACTA2, FAP, PDGFRA, PDGFRB, S100A4, FN1, COL1A1, POSTN, DCN, COL1A2, FBLN2, COL1A2, DES, and CDH11) were also analyzed in all cell subsets. Finally, the gene expression profiles, differentiation status, and the enrichment status of various gene sets and regulons were compared between the cell subsets.Results: We demonstrated 15 distinct cell subsets in the integrated single-cell transcriptome sequencing data. Surface marker annotation demonstrated the MSC phenotype in 12 of the 15 cell subsets. C10 and C14 subsets demonstrated both the MSC and pericyte phenotypes. All 15 cell subsets demonstrated the fibroblast phenotype. C8, C12, and C13 subsets exclusively demonstrated the fibroblast phenotype. We identified 3,275 differentially expressed genes, 305 enriched gene sets, and 34 enriched regulons between the 15 cell subsets. The cell subsets that exclusively demonstrated the fibroblast phenotype represented less primitive and more differentiated cell types.Conclusion: Cell subsets with the MSC phenotype also demonstrated the fibroblast phenotype, but cell subsets with the fibroblast phenotype did not necessarily demonstrate the MSC phenotype, suggesting that MSCs represented a subclass of fibroblasts. We also demonstrated that the MSCs and fibroblasts represented highly heterogeneous populations with distinct cell subsets, which could be identified based on the differentially enriched gene sets and regulons that specify proliferating, differentiating, metabolic, and/or immunomodulatory functions.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Single-cell transcriptome reveals differentiation between adaxial and abaxial mesophyll cells in Brassica rapa
    Guo, Xinlei
    Liang, Jianli
    Lin, Runmao
    Zhang, Lupeng
    Zhang, Zhicheng
    Wu, Jian
    Wang, Xiaowu
    PLANT BIOTECHNOLOGY JOURNAL, 2022, 20 (12) : 2233 - 2235
  • [22] Single-cell sequencing advances in research on mesenchymal stem/stromal cells
    Long, Qingxi
    Zhang, Pingshu
    Ou, Ya
    Li, Wen
    Yan, Qi
    Yuan, Xiaodong
    HUMAN CELL, 2024, 37 (04) : 904 - 916
  • [23] Single-Cell Analysis of Mesenchymal Stem Cells Reveals Their Molecular and Functional Heterogeneity in Myeloma
    Mehdi, Syed J.
    Johnson, Sarah K.
    Epstein, Joshua
    Khan, Sharmin
    Ling, Wen
    Shelton, Randal
    Zangari, Maurizio
    Qu, Pingping
    Hoering, Antje
    van Rhee, Frits
    Schinke, Carolina D.
    Thanendrarajan, Sharmilan
    Wardell, Christopher P.
    Davies, Faith E.
    Morgan, Gareth J.
    Yaccoby, Shmuel
    BLOOD, 2017, 130
  • [24] Integrative single-cell transcriptome analysis reveals a subpopulation of fibroblasts associated with favorable prognosis of liver cancer patients
    Wang, Haiyang
    Feng, Chao
    Lu, Meixin
    Zhang, Biao
    Xu, Yingchen
    Zeng, Quan
    Xi, Jiafei
    Zhou, Junnian
    Ying, Xiaomin
    Zhang, Jian
    Yue, Wen
    Pei, Xuetao
    TRANSLATIONAL ONCOLOGY, 2021, 14 (01):
  • [25] Single-Cell Transcriptome Analysis of Neural Stem Cells
    Li Y.
    Anderson J.
    Kwan K.Y.
    Cai L.
    Current Pharmacology Reports, 2017, 3 (2) : 68 - 76
  • [26] Single-cell transcriptome analysis reveals status changes of immune cells in chronic kidney disease
    Fan, Xinhuan
    Zhu, Yuxin
    Kan, Hao
    Mao, Aiqin
    Geng, Li
    Li, Changzhu
    Zhang, Ka
    FRONTIERS IN MEDICINE, 2024, 11
  • [27] Single-cell transcriptome profiling reveals immune and stromal cell heterogeneity in primary Sjogren's syndrome
    Xiang, Nan
    Xu, Hao
    Zhou, Zhou
    Wang, Junyu
    Cai, Pengfei
    Wang, Li
    Tan, Zhen
    Zhou, Yingbo
    Zhang, Tianping
    Zhou, Jiayuan
    Liu, Ke
    Luo, Songwen
    Fang, Minghao
    Wang, Guosheng
    Chen, Zhuo
    Guo, Chuang
    Li, Xiaomei
    ISCIENCE, 2023, 26 (10)
  • [28] Integrative single-cell and spatial transcriptome analysis reveals heterogeneity of human liver progenitor cells
    Liu, Chuanjun
    Wang, Kai
    Mei, Junpu
    Zhao, Ruizhen
    Shen, Juan
    Zhang, Wei
    Li, Liangyu
    Roy, Bhaskar
    Fang, Xiaodong
    HEPATOLOGY COMMUNICATIONS, 2025, 9 (03)
  • [29] Single-Cell Transcriptome Analysis of Human Adipose-Derived Stromal Cells Identifies a Contractile Cell Subpopulation
    Wolmarans, Elize
    Mellet, Juanita
    Durandt, Chrisna
    Joubert, Fourie
    Pepper, Michael S.
    STEM CELLS INTERNATIONAL, 2021, 2021
  • [30] Single-Cell Transcriptome Analysis Reveals Paraspeckles Expression in Osteosarcoma Tissues
    Rothzerg, Emel
    Feng, Wenyu
    Song, Dezhi
    Li, Hengyuan
    Wei, Qingjun
    Fox, Archa
    Wood, David
    Xu, Jiake
    Liu, Yun
    CANCER INFORMATICS, 2022, 21