参与NF-κB信号通路并影响细胞凋亡和信号转导的DLBCL靶向TRAF5 mirna的生物信息学分析

IF 1.4 4区 生物学 Q4 GENETICS & HEREDITY
Chunyao Li, Lanshan Huang, Yongqin Wen, Muhua Yi, Min Gao
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引用次数: 0

摘要

背景:弥漫性大b细胞淋巴瘤(DLBCL)是一种具有高度异质性的侵袭性b细胞淋巴瘤。对于DLBCL诊断和治疗的有效指标的研究是一个未被满足的需求。方法:利用GEO数据库筛选DLBCL组织中的差异表达基因(DEGs)和差异mirna。应用基因本体(GO)和京都基因与基因组百科全书(KEGG)对基因序列进行分析。然后在多个数据库中搜索DLBCL、TNF受体相关因子5 (TRAF5)和NF-κB (NF-κB)信号通路中的相关mirna。利用KOBAS数据库协助筛选感兴趣的mirna并构建miRNA-mRNA的调控网络。最后,使用GEO数据集分析mirna的表达水平和诊断性能,并从GEPIA数据库中鉴定deg。结果:DEGs显著富集于NF-κB信号通路和细胞因子-细胞因子受体相互作用中,参与免疫应答和蛋白结合过程。MiR-15a-5p、miR-147a、miR-192-5p、miR-197-3p、miR-532-5p和miR-650靶向TRAF5,参与NF-κB信号通路,可能影响DLBCL的凋亡和信号转导。在GEPIA数据库中,TRAF5在DLBCL中显著过表达。在GEO数据集中,miR-197-3p的表达上调,而在DLBCL中,其余mirna的表达下调。结论:miRNAs亚群可能通过共同靶向TRAF5参与NF-κB信号通路,可能成为探索DLBCL发病机制的前瞻性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-<i>κ</i>B Signaling Pathway and Affecting the Apoptosis and Signal Transduction.

Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-<i>κ</i>B Signaling Pathway and Affecting the Apoptosis and Signal Transduction.

Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-<i>κ</i>B Signaling Pathway and Affecting the Apoptosis and Signal Transduction.

Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-κB Signaling Pathway and Affecting the Apoptosis and Signal Transduction.

Background: Diffuse large B-cell lymphoma (DLBCL) is an aggressive B-cell lymphoma with high heterogeneity. There is an unmet need to investigate valid indicators for the diagnosis and therapy of DLBCL.

Methods: GEO database was utilized to screen for differentially expressed genes (DEGs) and differential miRNAs in DLBCL tissues. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were applied to analyse DEGs. Then multiple databases were searched for related miRNAs within DLBCL, TNF receptor-associated factor 5 (TRAF5) and NF-kappa B (NF-κB) signaling pathways. The 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 identified from the GEPIA database.

Results: DEGs were significantly 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 significantly overexpressed in DLBCL. The 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.

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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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