Time-course single-cell RNA sequencing reveals transcriptional dynamics and heterogeneity of limbal stem cells derived from human pluripotent stem cells

Research output: Contribution to journalJournal articleResearchpeer-review

  • Changbin Sun
  • Hailun Wang
  • Qiwang Ma
  • Chao Chen
  • Jianhui Yue
  • Bo Li
  • Xi Zhang

Background: Human pluripotent stem cell-derived limbal stem cells (hPSC-derived LSCs) provide a promising cell source for corneal transplants and ocular surface reconstruction. Although recent efforts in the identification of LSC markers have increased our understanding of the biology of LSCs, much more remains to be characterized in the developmental origin, cell fate determination, and identity of human LSCs. The lack of knowledge hindered the establishment of efficient differentiation protocols for generating hPSC-derived LSCs and held back their clinical application. Results: Here, we performed a time-course single-cell RNA-seq to investigate transcriptional heterogeneity and expression changes of LSCs derived from human embryonic stem cells (hESCs). Based on current protocol, expression heterogeneity of reported LSC markers were identified in subpopulations of differentiated cells. EMT has been shown to occur during differentiation process, which could possibly result in generation of untargeted cells. Pseudotime trajectory analysis revealed transcriptional changes and signatures of commitment of hESCs-derived LSCs and their progeny—the transit amplifying cells. Conclusion: Single-cell RNA-seq revealed time-course expression changes and significant transcriptional heterogeneity during hESC-derived LSC differentiation in vitro. Our results demonstrated candidate developmental trajectory and several new candidate markers for LSCs, which could facilitate elucidating the identity and developmental origin of human LSCs in vivo.

Original languageEnglish
Article number24
JournalCell and Bioscience
Volume11
Number of pages12
ISSN2045-3701
DOIs
Publication statusPublished - 2021

    Research areas

  • Developmental trajectory, Identity, LSCs, scRNA-seq

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 256719024