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基于生物信息学分析鉴定脓毒症小鼠中的关键 miRNA-mRNA 对。

Identification of key miRNA‑mRNA pairs in septic mice by bioinformatics analysis.

机构信息

Department of Colorectal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.

School of Information Engineering, Putian University, Putian, Fujian 351100, P.R. China.

出版信息

Mol Med Rep. 2019 Oct;20(4):3858-3866. doi: 10.3892/mmr.2019.10594. Epub 2019 Aug 20.

DOI:10.3892/mmr.2019.10594
PMID:31432183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6755251/
Abstract

Sepsis is one of the most common causes of death among critically ill patients in intensive care units worldwide; however, the microRNAs (miRNAs/miRs) involved in the sepsis process (and their target genes) are largely unknown. The present study integrated miRNA and mRNA datasets to elucidate key sepsis‑related miRNA‑mRNA pairs. The datasets, GSE74952 and GSE55238 were downloaded from the Gene Expression Omnibus. By performing bioinformatics analysis such as GEO2R, miRNA target gene prediction, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis and miRNA‑mRNA network analysis, a total of four sepsis‑related miRNA‑mRNA pairs were successfully obtained. Mmu‑miR‑370‑3p, cluster of differentiation (CD)8a, CD247, Zap70 and inhibitor of nuclear factor κ B kinase subunit β (Ikbkb) were identified as the components involved in these pairs, and these genes were enriched in the T‑cell receptor signaling pathway. Finally, reverse transcription‑quantitative PCR results validated that the expression levels of the four genes (CD8a, CD247, Zap70 and Ikbkb) in the sepsis model mice were consistent with the microarray analysis. In conclusion, the present study identified four sepsis‑related miRNA‑mRNA pairs using bioinformatics analysis. These results indicated that the candidate miRNA‑mRNA pairs may be involved in the regulation of immunity in sepsis, which may in turn act as indicators or therapeutic targets for sepsis.

摘要

脓毒症是全球重症监护病房中危重病患者死亡的最常见原因之一;然而,参与脓毒症过程的 microRNAs(miRNAs/miRs)(及其靶基因)在很大程度上尚不清楚。本研究整合了 miRNA 和 mRNA 数据集,以阐明关键的脓毒症相关 miRNA-mRNA 对。数据集 GSE74952 和 GSE55238 从基因表达综合数据库下载。通过执行生物信息学分析,如 GEO2R、miRNA 靶基因预测、基因本体论分析、京都基因与基因组百科全书通路分析和 miRNA-mRNA 网络分析,成功获得了总共四个与脓毒症相关的 miRNA-mRNA 对。Mmu-miR-370-3p、分化群(CD)8a、CD247、Zap70 和核因子 κ B 激酶亚基β 抑制剂(Ikbkb)被鉴定为这些对涉及的成分,这些基因富集在 T 细胞受体信号通路中。最后,逆转录-定量 PCR 结果验证了脓毒症模型小鼠中这四个基因(CD8a、CD247、Zap70 和 Ikbkb)的表达水平与微阵列分析一致。总之,本研究使用生物信息学分析鉴定了四个与脓毒症相关的 miRNA-mRNA 对。这些结果表明,候选 miRNA-mRNA 对可能参与脓毒症中的免疫调节,从而可能作为脓毒症的指标或治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/6a6eae37f0c6/MMR-20-04-3858-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/c93348823b97/MMR-20-04-3858-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/3c2af299ce31/MMR-20-04-3858-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/ae73528c9c7b/MMR-20-04-3858-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/f6b4d198c7c3/MMR-20-04-3858-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/a37b75952cd8/MMR-20-04-3858-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/6a6eae37f0c6/MMR-20-04-3858-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/c93348823b97/MMR-20-04-3858-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/3c2af299ce31/MMR-20-04-3858-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/ae73528c9c7b/MMR-20-04-3858-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/f6b4d198c7c3/MMR-20-04-3858-g03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/a37b75952cd8/MMR-20-04-3858-g04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ab/6755251/6a6eae37f0c6/MMR-20-04-3858-g05.jpg

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本文引用的文献

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