Data descriptor: Single cell RNA sequencing of stem cell-derived retinal ganglion cells

Maciej Daniszewski, Anne Senabouth, Quan H. Nguyen, Duncan E. Crombie, Samuel W. Lukowski, Tejal Kulkarni, Valentin M. Sluch, Jafar S. Jabbari, Xitiz Chamling, Donald J. Zack, Alice Pébay, Joseph E. Powell, Alex W. Hewitt

Research output: Contribution to journalArticle

Abstract

We used single cell sequencing technology to characterize the transcriptomes of 1,174 human embryonic stem cell-derived retinal ganglion cells (RGCs) at the single cell level. The human embryonic stem cell line BRN3B-mCherry (A81-H7), was differentiated to RGCs using a guided differentiation approach. Cells were harvested at day 36 and prepared for single cell RNA sequencing. Our data indicates the presence of three distinct subpopulations of cells, with various degrees of maturity. One cluster of 288 cells showed increased expression of genes involved in axon guidance together with semaphorin interactions, cell-extracellular matrix interactions and ECM proteoglycans, suggestive of a more mature RGC phenotype.

Original languageEnglish (US)
Article number180013
JournalScientific Data
Volume5
DOIs
StatePublished - Feb 13 2018

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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    Daniszewski, M., Senabouth, A., Nguyen, Q. H., Crombie, D. E., Lukowski, S. W., Kulkarni, T., Sluch, V. M., Jabbari, J. S., Chamling, X., Zack, D. J., Pébay, A., Powell, J. E., & Hewitt, A. W. (2018). Data descriptor: Single cell RNA sequencing of stem cell-derived retinal ganglion cells. Scientific Data, 5, [180013]. https://doi.org/10.1038/sdata.2018.131