Screening and Bioinformatics Analysis of MicroRNA Biomarkers in Triple-Negative Breast Cancer.

IF 1.5 4区医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Critical Reviews in Eukaryotic Gene Expression Pub Date : 2023-01-01 DOI:10.1615/CritRevEukaryotGeneExpr.2023046030

Jingjing Fan, Chao Dong, Binlin Ma

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引用次数: 1

Abstract

Objective: To identify and evaluate the bioinformatics of microRNA (miRNA) biomarkers in triple-negative breast cancer.

Methods: The MDA-MB-231 cell line with stable and low expression of c-Myc was created, and the expression patterns of messenger RNA (mRNA) and miRNA were investigated by cluster analysis. The genes regulated by c-Myc were then screened by transcriptome sequencing and miRNA sequencing. The negative binomial distribution of the DESeq software package was used to test for and determine the differential expression of genes.

Results: In the c-Myc deletion group, 276 differently expressed mRNAs were screened out by transcriptome sequencing, of which 152 mRNAs were considerably upregulated and 124 were significantly downregulated in comparison to the control group. One-hundred-seventeen (117) differentially expressed miRNAs were found using miRNA sequencing, of which 47 showed a substantial upregulation and 70 a significant downregulation. According to the Miranda algorithm, 1803 mRNAs could be targeted by 117 differently expressed miRNAs. Comparing the two sets of data, a total of 5 miRNAs were differentially expressed after targeted binding with 21 mRNAs, which were subjected to GO and KEGG enrichment analysis. The genes regulated by c-Myc were mainly enriched in signaling pathways such as extracellular matrix receptors and Hippo.

Conclusion: Twenty-one target genes and five differential miRNAs in the mRNA-c-Myc-miRNA regulatory network are potential therapeutic targets for triple-negative breast cancer.

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三阴性乳腺癌MicroRNA生物标志物的筛选及生物信息学分析。

目的:鉴定和评价三阴性乳腺癌中microRNA (miRNA)生物标志物的生物信息学。方法:建立稳定低表达c-Myc的MDA-MB-231细胞株，通过聚类分析研究mRNA和miRNA的表达规律。然后通过转录组测序和miRNA测序筛选c-Myc调控基因。采用DESeq软件包的负二项分布检测和确定基因的差异表达。结果:在c-Myc缺失组，通过转录组测序筛选出276个不同表达的mrna，其中152个mrna与对照组相比显著上调，124个mrna显著下调。通过miRNA测序，共发现117个差异表达的miRNA，其中47个显著上调，70个显著下调。根据Miranda算法，1803个mrna可以被117个不同表达的mirna靶向。对比两组数据，共有5个mirna与21个mrna靶向结合后出现差异表达，对其进行GO和KEGG富集分析。c-Myc调控的基因主要富集于细胞外基质受体、Hippo等信号通路。结论:mRNA-c-Myc-miRNA调控网络中的21个靶基因和5个差异mirna是三阴性乳腺癌的潜在治疗靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Critical Reviews in Eukaryotic Gene Expression 生物-生物工程与应用微生物

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

1 months

期刊介绍： Critical ReviewsTM in Eukaryotic Gene Expression presents timely concepts and experimental approaches that are contributing to rapid advances in our mechanistic understanding of gene regulation, organization, and structure within the contexts of biological control and the diagnosis/treatment of disease. The journal provides in-depth critical reviews, on well-defined topics of immediate interest, written by recognized specialists in the field. Extensive literature citations provide a comprehensive information resource. Reviews are developed from an historical perspective and suggest directions that can be anticipated. Strengths as well as limitations of methodologies and experimental strategies are considered.