Bioinformatics analysis of key biomarkers for retinoblastoma

OBJECTIVE: To identify key genes involved in occurrence and development of retinoblastoma. METHODS: The microarray dataset, GSE5222, was downloaded from the gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between unilateral and bilateral retinoblastoma were identified a...

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Autores principales: Zhao, Xin-mei, Li, Yuan-Bin, Sun, Peng, Pu, Ya-di, shan, Meng-jie, Zhang, Yuan-meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Pre-Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371285/
https://www.ncbi.nlm.nih.gov/pubmed/34187205
http://dx.doi.org/10.1177/03000605211022210
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author Zhao, Xin-mei
Li, Yuan-Bin
Sun, Peng
Pu, Ya-di
shan, Meng-jie
Zhang, Yuan-meng
author_facet Zhao, Xin-mei
Li, Yuan-Bin
Sun, Peng
Pu, Ya-di
shan, Meng-jie
Zhang, Yuan-meng
author_sort Zhao, Xin-mei
collection PubMed
description OBJECTIVE: To identify key genes involved in occurrence and development of retinoblastoma. METHODS: The microarray dataset, GSE5222, was downloaded from the gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between unilateral and bilateral retinoblastoma were identified and functional enrichment analysis performed. The protein–protein interaction (PPI) network was constructed and analysed by STRING and Cytoscape. RESULTS: DEGs were mainly associated with activation of cysteine-type endopeptidase activity involved in apoptotic process and small molecule catabolic process. Seven genes (WAS, GNB3, PTGER1, TACR1, GPR143, NPFF and CDKN2A) were identified as HUB genes. CONCLUSION: Our research provides more understanding of the mechanisms of the disease at a molecular level and may help in the identification of novel biomarkers for retinoblastoma.
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spelling pubmed-83712852021-08-19 Bioinformatics analysis of key biomarkers for retinoblastoma Zhao, Xin-mei Li, Yuan-Bin Sun, Peng Pu, Ya-di shan, Meng-jie Zhang, Yuan-meng J Int Med Res Pre-Clinical Research Report OBJECTIVE: To identify key genes involved in occurrence and development of retinoblastoma. METHODS: The microarray dataset, GSE5222, was downloaded from the gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between unilateral and bilateral retinoblastoma were identified and functional enrichment analysis performed. The protein–protein interaction (PPI) network was constructed and analysed by STRING and Cytoscape. RESULTS: DEGs were mainly associated with activation of cysteine-type endopeptidase activity involved in apoptotic process and small molecule catabolic process. Seven genes (WAS, GNB3, PTGER1, TACR1, GPR143, NPFF and CDKN2A) were identified as HUB genes. CONCLUSION: Our research provides more understanding of the mechanisms of the disease at a molecular level and may help in the identification of novel biomarkers for retinoblastoma. SAGE Publications 2021-06-29 /pmc/articles/PMC8371285/ /pubmed/34187205 http://dx.doi.org/10.1177/03000605211022210 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Pre-Clinical Research Report
Zhao, Xin-mei
Li, Yuan-Bin
Sun, Peng
Pu, Ya-di
shan, Meng-jie
Zhang, Yuan-meng
Bioinformatics analysis of key biomarkers for retinoblastoma
title Bioinformatics analysis of key biomarkers for retinoblastoma
title_full Bioinformatics analysis of key biomarkers for retinoblastoma
title_fullStr Bioinformatics analysis of key biomarkers for retinoblastoma
title_full_unstemmed Bioinformatics analysis of key biomarkers for retinoblastoma
title_short Bioinformatics analysis of key biomarkers for retinoblastoma
title_sort bioinformatics analysis of key biomarkers for retinoblastoma
topic Pre-Clinical Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371285/
https://www.ncbi.nlm.nih.gov/pubmed/34187205
http://dx.doi.org/10.1177/03000605211022210
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