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

doi:10.1016/j.dib.2020.106657

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

Data Brief. 2021 Jan 8:34:106657. doi: 10.1016/j.dib.2020.106657. eCollection 2021 Feb.

Authors

Rachel Shparberg¹, Chitra Umala Dewi¹, Vikkitharan Gnanasambandapillai², Liwan Liyanage³, Michael D O'Connor¹

Affiliations

¹ School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.
² Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute, UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney 2010, Australia.
³ School of Computer, Data and Mathematical Sciences, Western Sydney University, Campbelltown, NSW 2560, Australia.

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).

Keywords: Bioinformatics; Cataract; Human lens epithelial cell; Micro-lens; Pluripotent stem cell; ROR1; Single cell RNA-sequencing.