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整合生物信息学方法鉴定结核分枝杆菌 H37Rv 株感染 THP-1 衍生巨噬细胞的特征基因。

Characteristic genes in THP‑1 derived macrophages infected with Mycobacterium tuberculosis H37Rv strain identified by integrating bioinformatics methods.

机构信息

Department of Pathogen Biology, The Key Laboratory of Zoonosis, Chinese Ministry of Education, College of Basic Medicine, Jilin University, Changchun, Jilin 130021, P.R. China.

School of Bethune Medical, Jilin University, Changchun, Jilin 130021, P.R. China.

出版信息

Int J Mol Med. 2019 Oct;44(4):1243-1254. doi: 10.3892/ijmm.2019.4293. Epub 2019 Jul 30.

DOI:10.3892/ijmm.2019.4293
PMID:31364746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6713430/
Abstract

Mycobacterium tuberculosis (M. tb) is a highly successful pathogen that has co‑existed with humans for 1,000's of years. As the cornerstone of the immune system, macrophages are a key part of innate immunity. They ingest and degrade foreign substances including aging cells and microorganisms, coordinate the inflammatory process, and are the first line of defense against M. tb infection. Recent advances in cellular mycobacteriology have indicated that M. tb uses an remarkably complex strategy to disrupt macrophage function, in order to counteract the antimicrobial mechanisms of the innate and adaptive immune responses, thereby achieving immune escape. With the popularity of microarray technology, a variety of public platforms have provided a variety of gene expression data associated with physiological and disease conditions. Meta‑analysis can systematically and quantitatively analyze multiple independent data concerning the same disease, greatly improving the statistical significance and credibility of the gene expression data analysis performed. In the present study, 6 microarray expression datasets of human acute monocytic leukemia THP‑1 cell line infected by M. tb H37Rv strain were collected from the GEO database. A total of 4 high‑quality datasets were identified using meta‑analysis methods in R language, and 306 differentially expressed genes with statistical significance were obtained. Then, a protein‑protein interaction (PPI) network of these differentially expressed genes was constructed on the Search Tool for the Retrieval of Interacting Genes/Proteins Database online tool and visualized by Cytoscape v. 3.6.1 software. Using CentiScape and MCODE plugin in the Cytoscape software to mine the functional modules associated with M. tb infection process, 32 characteristic genes were identified. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis was performed on the 32 characteristic genes, and it was demonstrated that these genes were primarily associated with the type I interferon (IFN) pathway. In the established model of THP‑1‑derived macrophages infected by M. tb, the actual differential expression levels of IFN‑stimulated gene 15 (ISG15), 2'‑5‑oligoadenylate synthetase like (OASL), IFN regulatory factor 7 (IRF7) and DExD/H‑box helicase 58 (DDX58), the first 4 genes of the 32 characteristic genes, were verified by reverse transcription quantitative polymerase chain reaction. The results were consistent with the results of microarray analysis. The association between ISG15, OASL and IRF7 and TB infection was also verified. Although a number of studies have identified that the type I IFN pathway may assist M. tb to achieve immune escape, the present study used a meta‑analysis of microarray data and PPI network analysis to examine some of the novel genes identified in the IFN pathway. The results furthered the understanding of the molecular mechanisms of the TB immune response and provided a novel perspective for future therapeutic goals.

摘要

结核分枝杆菌(M. tb)是一种高度成功的病原体,与人类共存了数千年。作为免疫系统的基石,巨噬细胞是先天免疫的关键部分。它们摄取和降解包括衰老细胞和微生物在内的外来物质,协调炎症过程,是抵御 M. tb 感染的第一道防线。细胞分枝杆菌学的最新进展表明,M. tb 利用一种非常复杂的策略来破坏巨噬细胞功能,以对抗先天和适应性免疫反应的抗菌机制,从而实现免疫逃逸。随着微阵列技术的普及,各种公共平台提供了各种与生理和疾病状况相关的基因表达数据。荟萃分析可以系统地和定量地分析关于同一疾病的多个独立数据,极大地提高了基因表达数据分析的统计显著性和可信度。在本研究中,从 GEO 数据库中收集了 6 个人类急性单核细胞白血病 THP-1 细胞系感染 M. tb H37Rv 株的微阵列表达数据集。使用 R 语言中的荟萃分析方法鉴定了 4 个高质量数据集,并获得了 306 个具有统计学意义的差异表达基因。然后,在在线工具 Search Tool for the Retrieval of Interacting Genes/Proteins Database 上构建了这些差异表达基因的蛋白质-蛋白质相互作用(PPI)网络,并使用 Cytoscape v. 3.6.1 软件可视化。使用 Cytoscape 软件中的 CentiScape 和 MCODE 插件挖掘与 M. tb 感染过程相关的功能模块,鉴定出 32 个特征基因。对这 32 个特征基因进行基因本体论和京都基因与基因组百科全书分析,结果表明这些基因主要与 I 型干扰素(IFN)途径相关。在 M. tb 感染的 THP-1 衍生巨噬细胞建立的模型中,通过逆转录定量聚合酶链反应验证了前 4 个特征基因中 IFN 刺激基因 15(ISG15)、2'-5-寡腺苷酸合成酶样(OASL)、干扰素调节因子 7(IRF7)和 DExD/H-盒解旋酶 58(DDX58)的实际差异表达水平。与微阵列分析的结果一致。ISG15、OASL 和 IRF7 与 TB 感染之间的关联也得到了验证。尽管许多研究已经表明 I 型 IFN 途径可能有助于 M. tb 实现免疫逃逸,但本研究使用微阵列数据的荟萃分析和 PPI 网络分析来研究 IFN 途径中鉴定的一些新基因。结果进一步了解了 TB 免疫反应的分子机制,并为未来的治疗目标提供了新的视角。

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