Bioinformatic analysis of Cacybp-associated proteins using human glioma databases
- PMID: 30762928
- DOI: 10.1002/iub.1999
Bioinformatic analysis of Cacybp-associated proteins using human glioma databases
Abstract
The ubiquitin-proteasome system is the primary cellular pathway for protein degradation, mediating 80% of intracellular protein degradation. Because of the widespread presence of ubiquitin-modified protein substrates, ubiquitination can regulate a variety of cellular activities including cell proliferation, apoptosis, autophagy, endocytosis, DNA damage repair, and immune responses. With the continuous generation of genomics data in recent years it has become particularly important to analyze these data effectively and reasonably. Cacybp forms a complex with the E3 ubiquitinated ligase Siah1 to participate in ubiquitination. We analyzed Cacybp-associated genes using the Gene Expression Omnibus (GEO) and CGGA (Chinese Glioma Genome Atlas) databases and identified 121 differentially expressed genes (DEGs), of which 46 were downregulated and 75 were upregulated. The biological processes, molecular functions, and protein-protein interaction (PPI) network of differential genes were analyzed by Cytoscape software and STRING software. We found no difference in Cacybp expression among different grades of gliomas and there was no significant association between the expression level of Cacybp and the prognosis of patients with glioma in LGG and GBM. © 2019 IUBMB Life, 1-8, 2019.
Keywords: Cacybp; bioinformatics; differentially expressed gene; glioma; protein-protein interaction; ubiquitination.
© 2019 International Union of Biochemistry and Molecular Biology.
Similar articles
-
Prediction of Ubiquitin Ligase Nrdp1-Associated Proteins in Glioma Database.Cell Biochem Biophys. 2020 Sep;78(3):301-308. doi: 10.1007/s12013-020-00926-1. Epub 2020 Jun 19. Cell Biochem Biophys. 2020. PMID: 32562142
-
Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.Mol Med Rep. 2018 Nov;18(5):4185-4196. doi: 10.3892/mmr.2018.9411. Epub 2018 Aug 21. Mol Med Rep. 2018. PMID: 30132538 Free PMC article.
-
Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.Med Oncol. 2017 Sep 26;34(11):182. doi: 10.1007/s12032-017-1043-x. Med Oncol. 2017. PMID: 28952134
-
Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.Mol Med Rep. 2018 Aug;18(2):1538-1550. doi: 10.3892/mmr.2018.9095. Epub 2018 May 29. Mol Med Rep. 2018. PMID: 29845250 Free PMC article.
-
Identification of Hub Genes of Mesio Temporal Lobe Epilepsy and Prognostic Biomarkers of Brain Low-grade Gliomas Based on Bioinformatics Analysis.Cell Transplant. 2020 Jan-Dec;29:963689720978722. doi: 10.1177/0963689720978722. Cell Transplant. 2020. PMID: 33327771 Free PMC article.
Cited by
-
Identification of ubiquitination-related genes in human glioma as indicators of patient prognosis.PLoS One. 2021 Apr 29;16(4):e0250239. doi: 10.1371/journal.pone.0250239. eCollection 2021. PLoS One. 2021. PMID: 33914773 Free PMC article.
-
H19- and hsa-miR-338-3p-mediated NRP1 expression is an independent predictor of poor prognosis in glioblastoma.PLoS One. 2021 Nov 29;16(11):e0260103. doi: 10.1371/journal.pone.0260103. eCollection 2021. PLoS One. 2021. PMID: 34843522 Free PMC article.
-
Computational Prediction of Antiangiogenesis Synergistic Mechanisms of Total Saponins of Panax japonicus Against Rheumatoid Arthritis.Front Pharmacol. 2020 Oct 29;11:566129. doi: 10.3389/fphar.2020.566129. eCollection 2020. Front Pharmacol. 2020. PMID: 33324204 Free PMC article.
-
PART1 and hsa-miR-429-Mediated SHCBP1 Expression Is an Independent Predictor of Poor Prognosis in Glioma Patients.Biomed Res Int. 2020 Apr 13;2020:1767056. doi: 10.1155/2020/1767056. eCollection 2020. Biomed Res Int. 2020. PMID: 32351983 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Miscellaneous