Cargando…

Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis

OBJECTIVE: To study the development process of the human retina, we analyzed the development track of main cell types and transitional cell populations, identifying the retinal organoid cell differentiation-related genes (RDRGs). METHODS: Single-cell RNA sequencing data (scRNA-Seq) of human retinal...

Descripción completa

Detalles Bibliográficos
Autores principales: Dong, He, Yu, Liang, Song, Jian, Ji, Lili, Yu, Xiaoxia, Zhang, Lijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377943/
https://www.ncbi.nlm.nih.gov/pubmed/35979045
http://dx.doi.org/10.1155/2022/9717599
_version_ 1784768441933103104
author Dong, He
Yu, Liang
Song, Jian
Ji, Lili
Yu, Xiaoxia
Zhang, Lijun
author_facet Dong, He
Yu, Liang
Song, Jian
Ji, Lili
Yu, Xiaoxia
Zhang, Lijun
author_sort Dong, He
collection PubMed
description OBJECTIVE: To study the development process of the human retina, we analyzed the development track of main cell types and transitional cell populations, identifying the retinal organoid cell differentiation-related genes (RDRGs). METHODS: Single-cell RNA sequencing data (scRNA-Seq) of human retinal organoids were downloaded from Gene Expression Omnibus (GEO) database in this study. Data were processed with quality analysis and analysis of variance. Principal component analysis and t-distributed stochastic neighbor embedding were used to conduct dimension reduction analysis and type annotation for the screened data. Marker genes and RDRGs were identified by differential analysis. Cell differentiation characteristics were determined by trajectory analysis. Enrichment pathways were analyzed by Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG), and functional modules were obtained by protein-protein interaction (PPI) network analysis. RESULTS: iPSCs were mainly located at the root of differentiation trajectory, while neurons and astrocytes were distributed in different branches, respectively. Meanwhile, 220 RDRGs were obtained. They were involved in the biological functions related to vision and visual development, as well as significantly enriched in signaling pathways associated with retinal vascular development and retinal neuroregulation. Protein-protein interaction network construction and functional subnetwork analysis were conducted on RDRGs, and two functional submodules were obtained. The enrichment analysis presented that the two submodules played a vital role in retinal development, visual perception, and cell respiration. CONCLUSIONS: This study identified RDRGs and revealed the biological functions involved in these genes, which are expected to provide evidence for researching retinal development and diseases.
format Online
Article
Text
id pubmed-9377943
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-93779432022-08-16 Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis Dong, He Yu, Liang Song, Jian Ji, Lili Yu, Xiaoxia Zhang, Lijun Comput Math Methods Med Research Article OBJECTIVE: To study the development process of the human retina, we analyzed the development track of main cell types and transitional cell populations, identifying the retinal organoid cell differentiation-related genes (RDRGs). METHODS: Single-cell RNA sequencing data (scRNA-Seq) of human retinal organoids were downloaded from Gene Expression Omnibus (GEO) database in this study. Data were processed with quality analysis and analysis of variance. Principal component analysis and t-distributed stochastic neighbor embedding were used to conduct dimension reduction analysis and type annotation for the screened data. Marker genes and RDRGs were identified by differential analysis. Cell differentiation characteristics were determined by trajectory analysis. Enrichment pathways were analyzed by Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG), and functional modules were obtained by protein-protein interaction (PPI) network analysis. RESULTS: iPSCs were mainly located at the root of differentiation trajectory, while neurons and astrocytes were distributed in different branches, respectively. Meanwhile, 220 RDRGs were obtained. They were involved in the biological functions related to vision and visual development, as well as significantly enriched in signaling pathways associated with retinal vascular development and retinal neuroregulation. Protein-protein interaction network construction and functional subnetwork analysis were conducted on RDRGs, and two functional submodules were obtained. The enrichment analysis presented that the two submodules played a vital role in retinal development, visual perception, and cell respiration. CONCLUSIONS: This study identified RDRGs and revealed the biological functions involved in these genes, which are expected to provide evidence for researching retinal development and diseases. Hindawi 2022-08-08 /pmc/articles/PMC9377943/ /pubmed/35979045 http://dx.doi.org/10.1155/2022/9717599 Text en Copyright © 2022 He Dong et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dong, He
Yu, Liang
Song, Jian
Ji, Lili
Yu, Xiaoxia
Zhang, Lijun
Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis
title Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis
title_full Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis
title_fullStr Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis
title_full_unstemmed Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis
title_short Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis
title_sort identification of human retinal organoid cell differentiation-related genes via single-cell sequencing data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377943/
https://www.ncbi.nlm.nih.gov/pubmed/35979045
http://dx.doi.org/10.1155/2022/9717599
work_keys_str_mv AT donghe identificationofhumanretinalorganoidcelldifferentiationrelatedgenesviasinglecellsequencingdataanalysis
AT yuliang identificationofhumanretinalorganoidcelldifferentiationrelatedgenesviasinglecellsequencingdataanalysis
AT songjian identificationofhumanretinalorganoidcelldifferentiationrelatedgenesviasinglecellsequencingdataanalysis
AT jilili identificationofhumanretinalorganoidcelldifferentiationrelatedgenesviasinglecellsequencingdataanalysis
AT yuxiaoxia identificationofhumanretinalorganoidcelldifferentiationrelatedgenesviasinglecellsequencingdataanalysis
AT zhanglijun identificationofhumanretinalorganoidcelldifferentiationrelatedgenesviasinglecellsequencingdataanalysis