Literature DB >> 34187205

Bioinformatics analysis of key biomarkers for retinoblastoma.

Xin-Mei Zhao1, Yuan-Bin Li2, Peng Sun2, Ya-di Pu3, Meng-Jie Shan4,5, Yuan-Meng Zhang6.   

Abstract

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.

Entities:  

Keywords:  bilateral retinoblastoma; bioinformatics; differentially expressed genes; unilateral retinoblastoma

Mesh:

Substances:

Year:  2021        PMID: 34187205     DOI: 10.1177/03000605211022210

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  2 in total

1.  Biomarker Candidates for Alzheimer's Disease Unraveled through In Silico Differential Gene Expression Analysis.

Authors:  Maria-Del-Carmen Silva-Lucero; Jared Rivera-Osorio; Laura Gómez-Virgilio; Gustavo Lopez-Toledo; José Luna-Muñoz; Francisco Montiel-Sosa; Luis O Soto-Rojas; Mar Pacheco-Herrero; Maria-Del-Carmen Cardenas-Aguayo
Journal:  Diagnostics (Basel)       Date:  2022-05-07

Review 2.  The Many Faces of G Protein-Coupled Receptor 143, an Atypical Intracellular Receptor.

Authors:  Beatriz Bueschbell; Prashiela Manga; Anke C Schiedel
Journal:  Front Mol Biosci       Date:  2022-04-12
  2 in total

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