Multi-level inhibition of coronavirus replication by chemical ER stress

塔普斯加尔金 细胞生物学 病毒复制 下调和上调 冠状病毒 重编程 未折叠蛋白反应 生物 蛋白质组 化学 细胞 病毒 病毒学 细胞内 2019年冠状病毒病(COVID-19) 遗传学 内质网 医学 传染病(医学专业) 病理 疾病 基因
作者
Mohammed Samer Shaban,Christoph Müller,Christin Mayr-Buro,Hendrik Weiser,Johanna Meier-Soelch,Benadict Vincent Albert,Axel Weber,Uwe Linne,Torsten Hain,Ilya Babayev,Nadja Karl,Nina Hofmann,Stephan Becker,Susanne Herold,M. Lienhard Schmitz,John Ziebuhr,Michael Kracht
出处
期刊:Nature Communications [Nature Portfolio]
卷期号:12 (1) 被引量:24
标识
DOI:10.1038/s41467-021-25551-1
摘要

Abstract Coronaviruses (CoVs) are important human pathogens for which no specific treatment is available. Here, we provide evidence that pharmacological reprogramming of ER stress pathways can be exploited to suppress CoV replication. The ER stress inducer thapsigargin efficiently inhibits coronavirus (HCoV-229E, MERS-CoV, SARS-CoV-2) replication in different cell types including primary differentiated human bronchial epithelial cells, (partially) reverses the virus-induced translational shut-down, improves viability of infected cells and counteracts the CoV-mediated downregulation of IRE1α and the ER chaperone BiP. Proteome-wide analyses revealed specific pathways, protein networks and components that likely mediate the thapsigargin-induced antiviral state, including essential (HERPUD1) or novel (UBA6 and ZNF622) factors of ER quality control, and ER-associated protein degradation complexes. Additionally, thapsigargin blocks the CoV-induced selective autophagic flux involving p62/SQSTM1. The data show that thapsigargin hits several central mechanisms required for CoV replication, suggesting that this compound (or derivatives thereof) may be developed into broad-spectrum anti-CoV drugs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
刚刚
活力川发布了新的文献求助10
刚刚
刚刚
缓慢初翠完成签到,获得积分10
1秒前
1秒前
1秒前
yyy发布了新的文献求助10
2秒前
2秒前
3秒前
3秒前
ZeKaWa应助蓝色牛马采纳,获得10
3秒前
3秒前
李健应助是啥采纳,获得10
3秒前
老詹头完成签到,获得积分10
4秒前
hy完成签到,获得积分10
5秒前
5秒前
幸福的蓝血完成签到,获得积分10
5秒前
快乐就好完成签到,获得积分10
5秒前
5秒前
jiao完成签到,获得积分20
6秒前
6秒前
qingfengpu应助l玖采纳,获得50
6秒前
小肚发布了新的文献求助100
7秒前
7秒前
7秒前
赘婿应助风笛采纳,获得10
7秒前
8秒前
9秒前
Jasper应助koko采纳,获得10
10秒前
万能图书馆应助呵呵采纳,获得10
11秒前
Fiona发布了新的文献求助10
12秒前
12秒前
12秒前
12秒前
12秒前
13秒前
Wen3197312602完成签到,获得积分20
13秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6490966
求助须知:如何正确求助?哪些是违规求助? 8289081
关于积分的说明 17686739
捐赠科研通 5582003
什么是DOI,文献DOI怎么找? 2914885
邀请新用户注册赠送积分活动 1892033
关于科研通互助平台的介绍 1749720