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Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis

High-altitude retinopathy (HAR) is an ocular manifestation of acute oxygen deficiency at high altitudes. Although the pathophysiology of HAR has been revealed by many studies in recent years, the molecular mechanism is not yet clear. Our study aimed to systematically identify the genes and microRNA...

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Autores principales: Su, Tong, Gu, Chufeng, Draga, Deji, Zhou, Chuandi, Lhamo, Thashi, Zheng, Zhi, Qiu, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809558/
https://www.ncbi.nlm.nih.gov/pubmed/33393628
http://dx.doi.org/10.1042/BSR20200776
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author Su, Tong
Gu, Chufeng
Draga, Deji
Zhou, Chuandi
Lhamo, Thashi
Zheng, Zhi
Qiu, Qinghua
author_facet Su, Tong
Gu, Chufeng
Draga, Deji
Zhou, Chuandi
Lhamo, Thashi
Zheng, Zhi
Qiu, Qinghua
author_sort Su, Tong
collection PubMed
description High-altitude retinopathy (HAR) is an ocular manifestation of acute oxygen deficiency at high altitudes. Although the pathophysiology of HAR has been revealed by many studies in recent years, the molecular mechanism is not yet clear. Our study aimed to systematically identify the genes and microRNA (miRNA) and explore the potential biomarkers associated with HAR by integrated bioinformatics analysis. The mRNA and miRNA expression profiles were obtained from the Gene Expression Omnibus database. We performed Gene Ontology functional annotations and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Potential target gene analysis and miRNA–mRNA network analysis were also conducted. Quantitative RT-PCR (qRT-PCR) was used to validate the results of the bioinformatics analysis. Through a series of bioinformatics analyses and experiments, we selected 16 differentially expressed miRNAs (DE-miRNAs) and 157 differentially expressed genes related to acute mountain sickness (AMS) and constructed a miRNA–mRNA network containing 240 relationship pairs. The hub genes were filtered from the protein-protein interaction network: IL7R, FOS, IL10, FCGR2A, DDX3X, CDK1, BCL11B and HNRNPH1, which were all down-regulated in the AMS group. Then, nine up-regulated DE-miRNAs and eight hub genes were verified by qRT-PCR in our hypoxia-induced HAR cell model. The expression of miR-3177-3p, miR-369-3p, miR-603, miR-495, miR-4791, miR-424-5p, FOS, IL10 and IL7R was consistent with our bioinformatics results. In conclusion, FOS, IL10, IL-7R and 7 DE-miRNAs may participate in the development of HAR. Our findings will contribute to the identification of biomarkers and promote the effective prevention and treatment of HAR in the future.
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spelling pubmed-78095582021-02-04 Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis Su, Tong Gu, Chufeng Draga, Deji Zhou, Chuandi Lhamo, Thashi Zheng, Zhi Qiu, Qinghua Biosci Rep Bioinformatics High-altitude retinopathy (HAR) is an ocular manifestation of acute oxygen deficiency at high altitudes. Although the pathophysiology of HAR has been revealed by many studies in recent years, the molecular mechanism is not yet clear. Our study aimed to systematically identify the genes and microRNA (miRNA) and explore the potential biomarkers associated with HAR by integrated bioinformatics analysis. The mRNA and miRNA expression profiles were obtained from the Gene Expression Omnibus database. We performed Gene Ontology functional annotations and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Potential target gene analysis and miRNA–mRNA network analysis were also conducted. Quantitative RT-PCR (qRT-PCR) was used to validate the results of the bioinformatics analysis. Through a series of bioinformatics analyses and experiments, we selected 16 differentially expressed miRNAs (DE-miRNAs) and 157 differentially expressed genes related to acute mountain sickness (AMS) and constructed a miRNA–mRNA network containing 240 relationship pairs. The hub genes were filtered from the protein-protein interaction network: IL7R, FOS, IL10, FCGR2A, DDX3X, CDK1, BCL11B and HNRNPH1, which were all down-regulated in the AMS group. Then, nine up-regulated DE-miRNAs and eight hub genes were verified by qRT-PCR in our hypoxia-induced HAR cell model. The expression of miR-3177-3p, miR-369-3p, miR-603, miR-495, miR-4791, miR-424-5p, FOS, IL10 and IL7R was consistent with our bioinformatics results. In conclusion, FOS, IL10, IL-7R and 7 DE-miRNAs may participate in the development of HAR. Our findings will contribute to the identification of biomarkers and promote the effective prevention and treatment of HAR in the future. Portland Press Ltd. 2021-01-14 /pmc/articles/PMC7809558/ /pubmed/33393628 http://dx.doi.org/10.1042/BSR20200776 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Bioinformatics
Su, Tong
Gu, Chufeng
Draga, Deji
Zhou, Chuandi
Lhamo, Thashi
Zheng, Zhi
Qiu, Qinghua
Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis
title Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis
title_full Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis
title_fullStr Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis
title_full_unstemmed Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis
title_short Integrative analysis of miRNA–mRNA network in high altitude retinopathy by bioinformatics analysis
title_sort integrative analysis of mirna–mrna network in high altitude retinopathy by bioinformatics analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809558/
https://www.ncbi.nlm.nih.gov/pubmed/33393628
http://dx.doi.org/10.1042/BSR20200776
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