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A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq

Recent advances in high throughput single-cell RNA sequencing (scRNA-seq) technology have enabled the simultaneous transcriptomic profiling of thousands of individual cells in a single experiment. To investigate the intrinsic process of retinal development, researchers have leveraged this technology...

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Detalles Bibliográficos
Autores principales: Shiau, Fion, Ruzycki, Philip A., Clark, Brian S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386138/
https://www.ncbi.nlm.nih.gov/pubmed/34146533
http://dx.doi.org/10.1016/j.ydbio.2021.06.005
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author Shiau, Fion
Ruzycki, Philip A.
Clark, Brian S.
author_facet Shiau, Fion
Ruzycki, Philip A.
Clark, Brian S.
author_sort Shiau, Fion
collection PubMed
description Recent advances in high throughput single-cell RNA sequencing (scRNA-seq) technology have enabled the simultaneous transcriptomic profiling of thousands of individual cells in a single experiment. To investigate the intrinsic process of retinal development, researchers have leveraged this technology to quantify gene expression in retinal cells across development, in multiple species, and from numerous important models of human disease. In this review, we summarize recent applications of scRNA-seq and discuss how these datasets have complemented and advanced our understanding of retinal progenitor cell competence, cell fate specification, and differentiation. Finally, we also highlight the outstanding questions in the field that advances in single-cell data generation and analysis will soon be able to answer.
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spelling pubmed-83861382021-10-01 A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq Shiau, Fion Ruzycki, Philip A. Clark, Brian S. Dev Biol Article Recent advances in high throughput single-cell RNA sequencing (scRNA-seq) technology have enabled the simultaneous transcriptomic profiling of thousands of individual cells in a single experiment. To investigate the intrinsic process of retinal development, researchers have leveraged this technology to quantify gene expression in retinal cells across development, in multiple species, and from numerous important models of human disease. In this review, we summarize recent applications of scRNA-seq and discuss how these datasets have complemented and advanced our understanding of retinal progenitor cell competence, cell fate specification, and differentiation. Finally, we also highlight the outstanding questions in the field that advances in single-cell data generation and analysis will soon be able to answer. 2021-06-17 2021-10 /pmc/articles/PMC8386138/ /pubmed/34146533 http://dx.doi.org/10.1016/j.ydbio.2021.06.005 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Shiau, Fion
Ruzycki, Philip A.
Clark, Brian S.
A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq
title A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq
title_full A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq
title_fullStr A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq
title_full_unstemmed A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq
title_short A single-cell guide to retinal development: Cell fate decisions of multipotent retinal progenitors in scRNA-seq
title_sort single-cell guide to retinal development: cell fate decisions of multipotent retinal progenitors in scrna-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386138/
https://www.ncbi.nlm.nih.gov/pubmed/34146533
http://dx.doi.org/10.1016/j.ydbio.2021.06.005
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