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- Title
Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-κB Signaling Pathway and Affecting the Apoptosis and Signal Transduction.
- Authors
Chunyao Li; Lanshan Huang; Yongqin Wen; Muhua Yi; Min Gao
- Abstract
Background. Difuse large B-cell lymphoma (DLBCL) is an aggressive B-cell lymphoma with high heterogeneity. Tere is an unmet need to investigate valid indicators for the diagnosis and therapy of DLBCL. Methods. GEO database was utilized to screen for diferentially expressed genes (DEGs) and diferential miRNAs in DLBCL tissues. Te Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were applied to analyse DEGs. Ten multiple databases were searched for related miRNAs within DLBCL, TNF receptor-associated factor 5 (TRAF5) and NF-kappa B (NF-κB) signaling pathways. Te KOBAS database was used to assist in the screening of miRNAs of interest and construct the regulatory network of miRNA-mRNA. Finally, the expression level and diagnostic performance of miRNAs were analyzed with GEO datasets, and DEGs were identifed from the GEPIA database. Results. DEGs were signifcantly concentrated in the NF-κB signaling pathway and cytokine-cytokine receptor interaction, and involved in the process of immune response and protein binding. MiR-15a-5p, miR-147a, miR-192-5p, miR-197-3p, miR-532-5p, and miR-650 were revealed to be targeting TRAF5 and participating in NF-κB signaling pathway and might impact the apoptosis and signal transduction of DLBCL. In the GEPIA database, TRAF5 was signifcantly overexpressed in DLBCL. Te expression of miR-197-3p was upregulated within GEO datasets, while the rest of the miRNAs were downregulated in DLBCL. Conclusions. Subsets of miRNAs may participate in the NF-κB signaling pathway by co-targeting TRAF5 and could be prospective biomarkers exploring the pathogenesis of DLBCL.
- Subjects
DIFFUSE large B-cell lymphomas; CELLULAR signal transduction; MICRORNA; NF-kappa B; GENE expression; APOPTOSIS
- Publication
Genetics Research, 2022, Vol 2022, p1
- ISSN
0016-6723
- Publication type
Article
- DOI
10.1155/2022/3222253