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The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy

Proliferative Diabetic Retinopathy (PDR) is a chronic complication of Diabetes and the main cause of blindness among the world’s working population at present. While there have been many studies on the pathogenesis of PDR, its intrinsic molecular mechanisms have not yet been fully elucidated. In rec...

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Autores principales: Gao, Nan, Hao, Shengli, Huang, Guannan, Hao, Weiting, Su, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678275/
https://www.ncbi.nlm.nih.gov/pubmed/36409751
http://dx.doi.org/10.1371/journal.pone.0277952
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author Gao, Nan
Hao, Shengli
Huang, Guannan
Hao, Weiting
Su, Long
author_facet Gao, Nan
Hao, Shengli
Huang, Guannan
Hao, Weiting
Su, Long
author_sort Gao, Nan
collection PubMed
description Proliferative Diabetic Retinopathy (PDR) is a chronic complication of Diabetes and the main cause of blindness among the world’s working population at present. While there have been many studies on the pathogenesis of PDR, its intrinsic molecular mechanisms have not yet been fully elucidated. In recent years, several studies have employed bulk RNA-sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) to profile differentially expressed genes (DEGs) and cellular components associated with PDR. This study adds to this expanding body of work by identifying PDR’s target genes and cellular components by conducting an integrated transcriptome bioinformatics analysis. This study integrately examined two public bulk RNA-seq datasets(including 11 PDR patients and 7 controls) and one single-cell RNA-seq datasets(including 5 PDR patients) of Fibro (Vascular) Membranes (FVMs) from PDR patients and control. A total of 176 genes were identified as DEGs between PDR patients and control among both bulk RNA-seq datasets. Based on these DEGs, 14 proteins were identified in the protein overlap within the significant ligand-receptor interactions of retinal FVMs and Protein-Protein Interaction (PPI) network, three of which were associated with PDR (CD44, ICAM1, POSTN), and POSTN might act as key ligand. This finding may provide novel gene signatures and therapeutic targets for PDR.
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spelling pubmed-96782752022-11-22 The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy Gao, Nan Hao, Shengli Huang, Guannan Hao, Weiting Su, Long PLoS One Research Article Proliferative Diabetic Retinopathy (PDR) is a chronic complication of Diabetes and the main cause of blindness among the world’s working population at present. While there have been many studies on the pathogenesis of PDR, its intrinsic molecular mechanisms have not yet been fully elucidated. In recent years, several studies have employed bulk RNA-sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) to profile differentially expressed genes (DEGs) and cellular components associated with PDR. This study adds to this expanding body of work by identifying PDR’s target genes and cellular components by conducting an integrated transcriptome bioinformatics analysis. This study integrately examined two public bulk RNA-seq datasets(including 11 PDR patients and 7 controls) and one single-cell RNA-seq datasets(including 5 PDR patients) of Fibro (Vascular) Membranes (FVMs) from PDR patients and control. A total of 176 genes were identified as DEGs between PDR patients and control among both bulk RNA-seq datasets. Based on these DEGs, 14 proteins were identified in the protein overlap within the significant ligand-receptor interactions of retinal FVMs and Protein-Protein Interaction (PPI) network, three of which were associated with PDR (CD44, ICAM1, POSTN), and POSTN might act as key ligand. This finding may provide novel gene signatures and therapeutic targets for PDR. Public Library of Science 2022-11-21 /pmc/articles/PMC9678275/ /pubmed/36409751 http://dx.doi.org/10.1371/journal.pone.0277952 Text en © 2022 Gao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gao, Nan
Hao, Shengli
Huang, Guannan
Hao, Weiting
Su, Long
The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
title The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
title_full The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
title_fullStr The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
title_full_unstemmed The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
title_short The integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
title_sort integrated transcriptome bioinformatics analysis identifies key genes and cellular components for proliferative diabetic retinopathy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678275/
https://www.ncbi.nlm.nih.gov/pubmed/36409751
http://dx.doi.org/10.1371/journal.pone.0277952
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