Manful Ewura-Esi, Pietersen Ray-Dean, Baker Bienyameen
DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Front Cell Infect Microbiol. 2025 May 20;15:1536446. doi: 10.3389/fcimb.2025.1536446. eCollection 2025.
Interferon-induced protein with tetratricopeptide repeat 2 (IFIT2) is known for its antiviral activity and has recently been implicated in the defense against This study employed global transcriptomics to investigate the downstream effects of IFIT2 induction in THP-1 macrophages infected with R179 , aiming to elucidate its role and downstream contributing factors that aid it in intracellular killing. Using a vector-based overexpression approach, IFIT2 expression was induced in THP-1 cells infected with R179 , followed by RNA extraction 12 hours post-infection and AmpliSeq-based targeted transcriptome sequencing. Bioinformatics analysis identified 282 differentially expressed genes (DEGs), of which 189 were upregulated and 90 were downregulated (FDR <0.05). Filtering for highly significant DEGs (|log(fold change) | > 1.5) yielded 70 genes, predominantly upregulated, with functional enrichment in pathways such as defense response to viruses and cytokine-mediated signaling. Signaling pathway impact analysis highlighted pathway activation and inhibition of the tuberculosis (TB) pathway. RT-qPCR validation confirmed the upregulation of selected DEGs (ISG15, CMPK2, RSAD2, IFI44L, IFI44), corroborating the AmpliSeq data. This study provides comprehensive insights into the transcriptomic profile induced by IFIT2 in TB, revealing critical downstream contributors and pathways that underpin IFIT2's ability to combat infection.
含四肽重复序列的干扰素诱导蛋白2(IFIT2)以其抗病毒活性而闻名,最近被认为参与了对……的防御。本研究采用全局转录组学方法,研究在感染R179的THP-1巨噬细胞中诱导IFIT2后的下游效应,旨在阐明其作用以及有助于其在细胞内杀伤的下游促成因素。使用基于载体的过表达方法,在感染R179的THP-1细胞中诱导IFIT2表达,感染后12小时提取RNA并进行基于扩增子测序的靶向转录组测序。生物信息学分析鉴定出282个差异表达基因(DEG),其中189个上调,90个下调(错误发现率<0.05)。筛选高度显著的DEG(|log(倍数变化)|>1.5)得到70个基因,主要为上调,在病毒防御反应和细胞因子介导的信号传导等途径中功能富集。信号通路影响分析突出了通路激活和结核(TB)通路的抑制。RT-qPCR验证证实了所选DEG(ISG15、CMPK2、RSAD2、IFI44L、IFI44)的上调,证实了扩增子测序数据。本研究全面深入地了解了IFIT2在结核病中诱导的转录组概况,揭示了支持IFIT comb能力的关键下游促成因素和通路。 感染。 (注:原文中“对……的防御”以及“IFIT comb能力”处表述不完整,可能影响理解,但按要求未添加额外说明)