Browse by author
Lookup NU author(s): Dr Rachel Queen, Dr Simon CockellORCiD, Professor Majlinda LakoORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Single cell sequencing technologies have emerged as a revolutionary tool with transformative new methods to profile genetic, epigenetic, spatial, and lineage information in individual cells. Single cell RNA sequencing (scRNA-Seq) allows researchers to collect large datasets detailing the transcriptomes of individual cells in space and time and is increasingly being applied to reveal cellular heterogeneity in retinal development, normal physiology and disease, and provide new insights into cell type specific markers and signalling pathways. In the recent years, scRNA-Seq datasets have been generated from retinal tissue and pluripotent stem cell-derived retinal organoids. Their cross-comparison enables staging of retinal organoids, identification of specific cells in developing and adult human neural retina and provides deeper insights into cell type sub-specification and geographical differences. In this article, we review the recent rapid progress in scRNA-Seq analyses of retina and retinal organoids, the questions that remain unanswered and the technical challenges that need to be overcome to achieve consistent results that reflect the complexity, functionality and interactions of all retinal cell types.
Author(s): Zerti Z, Collin J, Queen R, Cockell SJ, Lako M
Publication type: Review
Publication status: Published
Journal: Current Eye Research
Year: 2020
Volume: 45
Issue: 3
Pages: 385-396
Online publication date: 03/12/2019
Acceptance date: 22/10/2019
ISSN (print): 0271-3683
ISSN (electronic): 1460-2202
URL: https://doi.org/10.1080/02713683.2019.1697453
DOI: 10.1080/02713683.2019.1697453
