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Understanding the complexity of retina and pluripotent stem cell derived retinal organoids with single cell RNA sequencing: current progress, remaining challenges and future prospective.
Curr Eye Res. 2020 03; 45(3):385-396.CE

Abstract

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 signaling pathways. In 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.

Authors+Show Affiliations

Institute of Genetic Medicine, Newcastle University, Newcastle, UK.Institute of Genetic Medicine, Newcastle University, Newcastle, UK.Bioinformatics Core Facility, Newcastle University, Newcastle upon Tyne, UK.Bioinformatics Core Facility, Newcastle University, Newcastle upon Tyne, UK.Institute of Genetic Medicine, Newcastle University, Newcastle, UK.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Review

Language

eng

PubMed ID

31794277

Citation

Zerti, Darin, et al. "Understanding the Complexity of Retina and Pluripotent Stem Cell Derived Retinal Organoids With Single Cell RNA Sequencing: Current Progress, Remaining Challenges and Future Prospective." Current Eye Research, vol. 45, no. 3, 2020, pp. 385-396.
Zerti D, Collin J, Queen R, et al. Understanding the complexity of retina and pluripotent stem cell derived retinal organoids with single cell RNA sequencing: current progress, remaining challenges and future prospective. Curr Eye Res. 2020;45(3):385-396.
Zerti, D., Collin, J., Queen, R., Cockell, S. J., & Lako, M. (2020). Understanding the complexity of retina and pluripotent stem cell derived retinal organoids with single cell RNA sequencing: current progress, remaining challenges and future prospective. Current Eye Research, 45(3), 385-396. https://doi.org/10.1080/02713683.2019.1697453
Zerti D, et al. Understanding the Complexity of Retina and Pluripotent Stem Cell Derived Retinal Organoids With Single Cell RNA Sequencing: Current Progress, Remaining Challenges and Future Prospective. Curr Eye Res. 2020;45(3):385-396. PubMed PMID: 31794277.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Understanding the complexity of retina and pluripotent stem cell derived retinal organoids with single cell RNA sequencing: current progress, remaining challenges and future prospective. AU - Zerti,Darin, AU - Collin,Joseph, AU - Queen,Rachel, AU - Cockell,Simon J, AU - Lako,Majlinda, PY - 2019/12/4/pubmed PY - 2021/5/13/medline PY - 2019/12/4/entrez KW - Single-cell RNA-Seq KW - pluripotent stem cells KW - retina KW - retinal organoids SP - 385 EP - 396 JF - Current eye research JO - Curr Eye Res VL - 45 IS - 3 N2 - 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 signaling pathways. In 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. SN - 1460-2202 UR - https://www.unboundmedicine.com/medline/citation/31794277/Understanding_the_complexity_of_retina_and_pluripotent_stem_cell_derived_retinal_organoids_with_single_cell_RNA_sequencing:_current_progress_remaining_challenges_and_future_prospective_ L2 - https://www.tandfonline.com/doi/full/10.1080/02713683.2019.1697453 DB - PRIME DP - Unbound Medicine ER -