Single-cell transcriptome profiling reveals molecular heterogeneity in human umbilical cord tissue and culture-expanded mesenchymal stem cells

  • Quanlei Wang
  • , Jinlu Li
  • , Shengpeng Wang
  • , Qiuting Deng
  • , Kuixing Wang
  • , Xi Dai
  • , Yanru An
  • , Guoyi Dong
  • , Weilin Ke
  • , Fang Chen
  • , Longqi Liu
  • , Huanming Yang
  • , Yutao Du
  • , Weihua Zhao
  • , Zhouchun Shang

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Human umbilical cord-derived mesenchymal stem/stromal cells (UMSCs) demonstrate great therapeutic potential in regenerative medicine. The use of UMSCs for clinical applications requires high quantity and good quality of cells usually by in vitro expansion. However, the heterogeneity and the characteristics of cultured UMSCs and the cognate human umbilical cord tissue at single-cell resolution remain poorly defined. In this study, we created a single-cell transcriptome profile of human umbilical cord tissue and the cognate culture-expanded UMSCs. Based on the inferred characteristics of cell clusters and trajectory analysis, we identified three subgroups in culture-expanded UMSCs and putative novel transcription factors (TFs) in regulating UMSC state transition. Further, putative ligand–receptor interaction analysis demonstrated that cellular interactions most frequently occurred in epithelial-like cells with other cell groups in umbilical cord tissue. Moreover, we dissected the transcriptomic differences of in vitro and in vivo subgroups and inferred the telomere-related molecules and pathways that might be activated in UMSCs for cell expansion in vitro. Our study provides a comprehensive and integrative study of the transcriptomics of human umbilical cord tissue and their cognate-cultured counterparts, which paves the way for a deeper understanding of cellular heterogeneity and offers fundamental biological insight of UMSCs-based cell therapy.

Original languageEnglish
Pages (from-to)5311-5330
Number of pages20
JournalFEBS Journal
Volume288
Issue number18
DOIs
StatePublished - Sep 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • mesenchymal stem/stromal cells
  • single-cell RNA sequencing
  • subpopulation
  • transcriptomics
  • umbilical cord

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