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
  • [1] Single-cell transcriptome analysis reveals the effectiveness of cytokine priming irrespective of heterogeneity in mesenchymal stromal cells
    Wan, Zihao
    Chen, Yu-Fan
    Pan, Qi
    Wang, Yiwei
    Yuan, Shuai
    Chin, Hui Yen
    Wu, Hao-Hsiang
    Lin, Wei-Ting
    Cheng, Po-Yu
    Yang, Yun-Jung
    Wang, Yu-Fan
    Kumta, Shekhar Madhukar
    Lee, Chien-Wei
    Lee, Oscar Kuang-Sheng
    CYTOTHERAPY, 2023, 25 (11) : 1155 - 1166
  • [2] Single-Cell Transcriptome Analysis Reveals Mesenchymal Stem Cells in Cavernous Hemangioma
    Ji, Fulong
    Liu, Yong
    Shi, Jinsong
    Liu, Chunxiang
    Fu, Siqi
    Wang, Heng
    Ren, Bingbing
    Mi, Dong
    Gao, Shan
    Sun, Daqing
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [3] Single-cell transcriptome analysis defines mesenchymal stromal cells in the mouse incisor dental pulp
    Bayarsaihan, Dashzeveg
    Enkhmandakh, Badam
    Vijaykumar, Anushree
    Robson, Paul
    Mina, Mina
    GENE EXPRESSION PATTERNS, 2022, 43
  • [4] Single-cell analysis of cultured bone marrow stromal cells reveals high similarity to fibroblasts in situ
    Stalmann, Ursula S. A.
    Banjanin, Bella
    Snoeren, Inge A. M.
    Nagai, James S.
    Leimkuehler, Nils B.
    Li, Ronghui
    Benabid, Adam
    Pritchard, Jessica E.
    Malyaran, Hanna
    Neuss, Sabine
    Bindels, Eric M.
    Costa, Ivan G.
    Schneider, Rebekka K.
    EXPERIMENTAL HEMATOLOGY, 2022, 110 : 28 - 33
  • [5] Single-cell analysis of mesenchymal cells in permeable neural vasculature reveals novel diverse subpopulations of fibroblasts
    William E. Bastedo
    R. Wilder Scott
    Martin Arostegui
    T. Michael Underhill
    Fluids and Barriers of the CNS, 21
  • [6] Single-cell analysis of mesenchymal cells in permeable neural vasculature reveals novel diverse subpopulations of fibroblasts
    Bastedo, William E.
    Scott, R. Wilder
    Arostegui, Martin
    Underhill, T. Michael
    FLUIDS AND BARRIERS OF THE CNS, 2024, 21 (01) : 31
  • [7] Single-cell and transcriptome analysis reveals TAL cells in diabetic nephropathy
    Chengyu Zhang
    Han Li
    Shixiang Wang
    Functional & Integrative Genomics, 2023, 23
  • [8] Single-cell and transcriptome analysis reveals TAL cells in diabetic nephropathy
    Zhang, Chengyu
    Li, Han
    Wang, Shixiang
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2023, 23 (04)
  • [9] A single-cell transcriptome of mesenchymal stromal cells to fabricate bioactive hydroxyapatite materials for bone regeneration
    Guo, Peng
    Liu, Xizhe
    Zhang, Penghui
    He, Zhongyuan
    Li, Zhen
    Alini, Mauro
    Richards, R. Geoff
    Grad, Sibylle
    Stoddart, Martin J.
    Zhou, Guangqian
    Zou, Xuenong
    Chan, Danny
    Tian, Wei
    Chen, Dafu
    Gao, Manman
    Zhou, Zhiyu
    Liu, Shaoyu
    BIOACTIVE MATERIALS, 2022, 9 : 281 - 298
  • [10] Single-cell spatiotemporal analysis reveals cell fates and functions of transplanted mesenchymal stromal cells during bone repair
    Yang, Chengyu
    Li, Zeshun
    Liu, Yang
    Hou, Runpeng
    Lin, Minmin
    Fu, Linhao
    Wu, Decheng
    Liu, Quanying
    Li, Kai
    Liu, Chao
    STEM CELL REPORTS, 2022, 17 (10): : 2318 - 2333