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Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes

Author

Listed:
  • Bruce A. Rheaume

    (University of Connecticut School of Medicine)

  • Amyeo Jereen

    (University of Connecticut School of Medicine)

  • Mohan Bolisetty

    (The Jackson Laboratory for Genomic Medicine)

  • Muhammad S. Sajid

    (University of Connecticut School of Medicine)

  • Yue Yang

    (University of Connecticut School of Medicine)

  • Kathleen Renna

    (University of Connecticut School of Medicine)

  • Lili Sun

    (The Jackson Laboratory for Genomic Medicine)

  • Paul Robson

    (The Jackson Laboratory for Genomic Medicine
    Institute for Systems Genomics and Department of Genetics & Genome Sciences, University of Connecticut School of Medicine)

  • Ephraim F. Trakhtenberg

    (University of Connecticut School of Medicine)

Abstract

Retinal ganglion cells (RGCs) convey the major output of information collected from the eye to the brain. Thirty subtypes of RGCs have been identified to date. Here, we analyze 6225 RGCs (average of 5000 genes per cell) from right and left eyes by single-cell RNA-seq and classify them into 40 subtypes using clustering algorithms. We identify additional subtypes and markers, as well as transcription factors predicted to cooperate in specifying RGC subtypes. Zic1, a marker of the right eye-enriched subtype, is validated by immunostaining in situ. Runx1 and Fst, the markers of other subtypes, are validated in purified RGCs by fluorescent in situ hybridization (FISH) and immunostaining. We show the extent of gene expression variability needed for subtype segregation, and we show a hierarchy in diversification from a cell-type population to subtypes. Finally, we present a website for comparing the gene expression of RGC subtypes.

Suggested Citation

  • Bruce A. Rheaume & Amyeo Jereen & Mohan Bolisetty & Muhammad S. Sajid & Yue Yang & Kathleen Renna & Lili Sun & Paul Robson & Ephraim F. Trakhtenberg, 2018. "Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05134-3
    DOI: 10.1038/s41467-018-05134-3
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    Cited by:

    1. Yunpei Xu & Shaokai Wang & Qilong Feng & Jiazhi Xia & Yaohang Li & Hong-Dong Li & Jianxin Wang, 2024. "scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

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