Single cell RNA-sequencing data generated from human pluripotent stem cell-derived lens epithelial cells

Rachel Shparberg, Chitra Umala Dewi, Vikkitharan Gnanasambandapillai, Liwan Liyanage, Michael D. O'Connor

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Detailed transcriptomic analyses of differentiated cell populations derived from human pluripotent stem cells is routinely used to assess the identity and utility of the differentiated cells. Here we provide single cell RNA-sequencing data obtained from ROR1-expressing lens epithelial cells (ROR1e LECs), obtained via directed differentiation of CA1 human embryonic stem cells. Analysis of the data using principal component analysis, heat maps and gene ontology assessments revealed phenotypes associated with lens epithelial cells. These data provide a resource for future characterisation of both normal and cataractous human lens biology. Corresponding morphological and functional data obtained from ROR1e LECs are reported in the associated research article “A simplified method for producing human lens epithelial cells and light-focusing micro-lenses from pluripotent stem cells “ (Dewi et al., 2020).
Original languageEnglish
Article number106657
Number of pages23
JournalData in Brief
Volume34
DOIs
Publication statusPublished - 2021

Open Access - Access Right Statement

This work is licenced under a Creative Commons Attribution 4.0 International Licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons licence, users will need to obtain permission from the licence holder to reproduce the material.

Keywords

  • bioinformatics
  • epithelial cells
  • stem cells

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