Single-cell spatiotemporal analysis reveals cell fates and functions of transplanted mesenchymal stromal cells during bone repair

被引:11
|
作者
Yang, Chengyu [1 ,2 ]
Li, Zeshun [1 ,2 ]
Liu, Yang [1 ,2 ]
Hou, Runpeng [1 ,2 ]
Lin, Minmin [1 ,2 ]
Fu, Linhao [1 ,2 ]
Wu, Decheng [1 ,2 ]
Liu, Quanying [1 ,2 ]
Li, Kai [1 ,2 ]
Liu, Chao [1 ,2 ]
机构
[1] Southern Univ Sci & Technol, Coll Engn, Dept Biomed Engn, Shenzhen 518055, Peoples R China
[2] Southern Univ Sci & Technol, Guangdong Prov Key Lab Adv Biomat, Shenzhen, Peoples R China
来源
STEM CELL REPORTS | 2022年 / 17卷 / 10期
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
STEM-CELLS; OSTEOBLAST DIFFERENTIATION; PDGF-BB; ANGIOGENESIS; REGENERATION; THERAPY; STRAIN; GROWTH; MODEL; SPINE;
D O I
10.1016/j.stemcr.2022.08.008
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Mesenchymal stromal cells (MSCs) transplantation could enhance bone repair. However, the cell fate of transplanted MSCs, in terms of their local distribution and spatial associations with other types of cells were poorly understood. Here, we developed a single-cell 3D spatial correlation (sc3DSC) method to track transplanted MSCs based on deep tissue microscopy of fluorescent nanoparticles (fNPs) and immunofluorescence of key proteins. Locally delivered fNP-labeled MSCs enhanced tibial defect repair, increased the number of stem cells and vascular maturity in mice. fNP-MSCs persisted in the defect throughout repair. But only a small portion of transplanted cells underwent osteogenic differentiation (OSX+); a significant portion has maintained their expression of mesenchymal stem cell and skeletal stem cell markers (SCA-1 and PRRX1). Our results contribute to the optimization of MSC-based therapies. The sc3DSC method may be useful in studying cell-based therapies for the regeneration of other tissue types or disease models.
引用
收藏
页码:2318 / 2333
页数:16
相关论文
共 50 条
  • [1] Single-Cell RNA Sequencing Reveals Repair Features of Human Umbilical Cord Mesenchymal Stromal Cells
    Cyr-Depauw, Chanele
    Cook, David P.
    Mizik, Ivana
    Lesage, Flore
    Vadivel, Arul
    Renesme, Laurent
    Deng, Yupu
    Zhong, Shumei
    Bardin, Pauline
    Xu, Liqun
    Moebius, Marius A.
    Marzahn, Jenny
    Freund, Daniel
    Stewart, Duncan J.
    Vanderhyden, Barbara C.
    Ruediger, Mario
    Thebaud, Bernard
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2024, 210 (06) : 814 - 827
  • [2] Single-Cell Transcriptome Integration Analysis Reveals the Correlation Between Mesenchymal Stromal Cells and Fibroblasts
    Fan, Chuiqin
    Liao, Maochuan
    Xie, Lichun
    Huang, Liangping
    Lv, Siyu
    Cai, Siyu
    Su, Xing
    Wang, Yue
    Wang, Hongwu
    Wang, Manna
    Liu, Yulin
    Wang, Yu
    Guo, Huijie
    Yang, Hanhua
    Liu, Yufeng
    Wang, Tianyou
    Ma, Lian
    FRONTIERS IN GENETICS, 2022, 13
  • [3] 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
  • [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 Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells
    Chen Zhang
    Xueshuai Han
    Jingkun Liu
    Lei Chen
    Ying Lei
    Kunying Chen
    Jia Si
    Tian-yi Wang
    Hui Zhou
    Xiaoyun Zhao
    Xiaohui Zhang
    Yihua An
    Yueying Li
    Qian-Fei Wang
    Genomics,Proteomics & Bioinformatics, 2022, Proteomics & Bioinformatics2022 (01) : 70 - 86
  • [6] Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells
    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
    GENOMICS PROTEOMICS & BIOINFORMATICS, 2022, 20 (01) : 70 - 86
  • [7] 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
  • [8] 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
  • [9] 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
  • [10] 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