Suppr超能文献

寨卡病毒感染和旁观者巨噬细胞中促病毒和抗病毒基因组反应的去卷积。

Deconvolution of pro- and antiviral genomic responses in Zika virus-infected and bystander macrophages.

机构信息

Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA 92093.

Division of Inflammation Biology, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.

出版信息

Proc Natl Acad Sci U S A. 2018 Sep 25;115(39):E9172-E9181. doi: 10.1073/pnas.1807690115. Epub 2018 Sep 11.

Abstract

Genome-wide investigations of host-pathogen interactions are often limited by analyses of mixed populations of infected and uninfected cells, which lower sensitivity and accuracy. To overcome these obstacles and identify key mechanisms by which Zika virus (ZIKV) manipulates host responses, we developed a system that enables simultaneous characterization of genome-wide transcriptional and epigenetic changes in ZIKV-infected and neighboring uninfected primary human macrophages. We demonstrate that transcriptional responses in ZIKV-infected macrophages differed radically from those in uninfected neighbors and that studying the cell population as a whole produces misleading results. Notably, the uninfected population of macrophages exhibits the most rapid and extensive changes in gene expression, related to type I IFN signaling. In contrast, infected macrophages exhibit a delayed and attenuated transcriptional response distinguished by preferential expression of at late time points. Biochemical and genomic studies of infected macrophages indicate that ZIKV infection causes both a targeted defect in the type I IFN response due to degradation of STAT2 and reduces RNA polymerase II protein levels and DNA occupancy, particularly at genes required for macrophage identity. Simultaneous evaluation of transcriptomic and epigenetic features of infected and uninfected macrophages thereby reveals the coincident evolution of dominant proviral or antiviral mechanisms, respectively, that determine the outcome of ZIKV exposure.

摘要

全基因组范围的宿主-病原体相互作用研究通常受到感染和未感染细胞混合群体分析的限制,这降低了敏感性和准确性。为了克服这些障碍并确定寨卡病毒 (ZIKV) 操纵宿主反应的关键机制,我们开发了一种系统,能够同时对 ZIKV 感染的和相邻的未感染的原代人巨噬细胞进行全基因组转录组和表观遗传变化的特征分析。我们证明,ZIKV 感染的巨噬细胞中的转录反应与未感染的相邻细胞有根本的不同,而对整个细胞群体进行研究则会产生误导性的结果。值得注意的是,未感染的巨噬细胞群体表现出最快和最广泛的基因表达变化,与 I 型干扰素信号有关。相比之下,感染的巨噬细胞表现出延迟和减弱的转录反应,其特征是在晚期优先表达 。感染的巨噬细胞的生化和基因组研究表明,ZIKV 感染会导致 I 型 IFN 反应的靶向缺陷,这是由于 STAT2 的降解引起的,并且会降低 RNA 聚合酶 II 蛋白水平和 DNA 占有率,特别是在巨噬细胞特征所需的基因上。因此,对感染和未感染巨噬细胞的转录组和表观遗传特征进行同时评估,揭示了决定 ZIKV 暴露结果的优势前病毒或抗病毒机制的协同演变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67aa/6166801/d7a237d5f08e/pnas.1807690115fig01.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验