Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
- PMID: 34395530
- PMCID: PMC8362665
- DOI: 10.3389/fmolb.2021.699906
Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
Abstract
The retina is composed of 11 types of cells, including neurons, glial cells and vascular bed cells. It contains five types of neurons, each with specific physiological, morphological, and molecular definitions. Currently, single-cell RNA sequencing (sRNA-seq) is emerging as one of the most powerful tools to reveal the complexity of the retina. The continuous discovery of retina-related gene targets plays an important role in helping us understand the nature of diseases. The revelation of new cell subpopulations can focus the occurrence and development of diseases on specific biological activities of specific cells. In addition, sRNA-seq performs high-throughput sequencing analysis of epigenetics, transcriptome and genome at the single-cell level, with the advantages of high-throughput and high-resolution. In this paper, we systematically review the development history of sRNA-seq technology, and summarize the new subtypes of retinal cells and some specific gene markers discovered by this technology. The progress in the diagnosis of retinal related diseases is also discussed.
Keywords: ScRNA-seq; gene; retina; retinal disease; single-cell RNA sequencing.
Copyright © 2021 Ying, Huang, Wang, Guo, Cao, Zhang, Fu, Chen, Yi and Fu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures
Similar articles
-
Discoveries in Retina Physiology and Disease Biology Using Single-Cell RNA Sequencing.Front Biosci (Landmark Ed). 2023 Oct 19;28(10):247. doi: 10.31083/j.fbl2810247. Front Biosci (Landmark Ed). 2023. PMID: 37919055 Review.
-
Single-cell RNA sequencing: A new opportunity for retinal research.Wiley Interdiscip Rev RNA. 2021 Sep;12(5):e1652. doi: 10.1002/wrna.1652. Epub 2021 Mar 22. Wiley Interdiscip Rev RNA. 2021. PMID: 33754496 Review.
-
Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.Methods Mol Biol. 2020;2092:159-186. doi: 10.1007/978-1-0716-0175-4_12. Methods Mol Biol. 2020. PMID: 31786788
-
High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery.Front Genet. 2020 Feb 5;11:19. doi: 10.3389/fgene.2020.00019. eCollection 2020. Front Genet. 2020. PMID: 32117438 Free PMC article. Review.
-
An optimized protocol for retina single-cell RNA sequencing.Mol Vis. 2020 Oct 10;26:705-717. eCollection 2020. Mol Vis. 2020. PMID: 33088174 Free PMC article.
Cited by
-
Single cell transcriptome analyses of the developing zebrafish eye- perspectives and applications.Front Cell Dev Biol. 2023 Jun 29;11:1213382. doi: 10.3389/fcell.2023.1213382. eCollection 2023. Front Cell Dev Biol. 2023. PMID: 37457291 Free PMC article. Review.
-
Single-cell transcriptomics of the ocular anterior segment: a comprehensive review.Eye (Lond). 2023 Nov;37(16):3334-3350. doi: 10.1038/s41433-023-02539-3. Epub 2023 May 3. Eye (Lond). 2023. PMID: 37138096 Free PMC article. Review.
-
Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data.BMC Genomics. 2023 Apr 18;24(1):206. doi: 10.1186/s12864-023-09300-w. BMC Genomics. 2023. PMID: 37072692 Free PMC article.
-
Single cell RNA-seq analysis reveals temporally-regulated and quiescence-regulated gene expression in Drosophila larval neuroblasts.Neural Dev. 2022 Aug 24;17(1):7. doi: 10.1186/s13064-022-00163-7. Neural Dev. 2022. PMID: 36002894 Free PMC article.
-
Identification of Genetic Predisposition in Noncirrhotic Portal Hypertension Patients With Multiple Renal Cysts by Integrated Analysis of Whole-Genome and Single-Cell RNA Sequencing.Front Genet. 2021 Nov 12;12:775470. doi: 10.3389/fgene.2021.775470. eCollection 2021. Front Genet. 2021. PMID: 34868264 Free PMC article.
References
Publication types
LinkOut - more resources
Full Text Sources
