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Single cell RNA-sequencing data generated from human pluripotent stem cell-derived lens epithelial cells.
Shparberg, Rachel; Dewi, Chitra Umala; Gnanasambandapillai, Vikkitharan; Liyanage, Liwan; O'Connor, Michael D.
Afiliação
  • Shparberg R; School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.
  • Dewi CU; School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.
  • Gnanasambandapillai V; Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute, UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney 2010, Australia.
  • Liyanage L; School of Computer, Data and Mathematical Sciences, Western Sydney University, Campbelltown, NSW 2560, Australia.
  • O'Connor MD; School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.
Data Brief ; 34: 106657, 2021 Feb.
Article em En | MEDLINE | ID: mdl-33521174
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).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália