• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

病毒与人类 I 型干扰素系统网络中蛋白质-蛋白质相互作用的系统水平比较。

System-level comparison of protein-protein interactions between viruses and the human type I interferon system network.

机构信息

Université de Lyon, France, INSERM, U851, 21 Avenue Tony Garnier, Lyon, F-69007, France.

出版信息

J Proteome Res. 2010 Jul 2;9(7):3527-36. doi: 10.1021/pr100326j.

DOI:10.1021/pr100326j
PMID:20459142
Abstract

Innate immunity has evolved complex molecular pathways to protect organisms from viral infections. One pivotal line of cellular defense is the induction of the antiviral effect of interferon. To circumvent this primary response and achieve their own replication, viruses have developed complex molecular strategies. Here, we provide a systems-level study of the human type I interferon system subversion by the viral proteome, by reconstructing the underlying protein-protein interaction network. At this network level, viruses establish a massive and a gradual attack, from receptors to transcription factors, by interacting preferentially with highly connected and central proteins as well as interferon-induced proteins. We also demonstrate that viruses significantly target 22% of the proteins directly interacting with the type I interferon system network, suggesting the relevance of our network-based method to identify new candidates involved in the regulation of the antiviral response. Finally, based on the comparative analysis of interactome profiles across four viral families, we provide evidence of common and differential targeting strategies.

摘要

先天免疫系统进化出了复杂的分子途径来保护生物免受病毒感染。细胞防御的一个关键防线是诱导干扰素的抗病毒作用。为了规避这种初始反应并实现自身复制,病毒已经发展出了复杂的分子策略。在这里,我们通过重建潜在的蛋白质-蛋白质相互作用网络,对病毒蛋白质组对 I 型干扰素系统的颠覆进行了系统水平的研究。在这个网络层面上,病毒通过与高度连接和中心的蛋白质以及干扰素诱导的蛋白质优先相互作用,从受体到转录因子,建立了大规模的、渐进的攻击。我们还证明,病毒显著靶向与 I 型干扰素系统网络直接相互作用的 22%的蛋白质,这表明我们基于网络的方法对于识别新的与抗病毒反应调控相关的候选物是有效的。最后,基于对四个病毒家族的互作组谱的比较分析,我们提供了共同和差异靶向策略的证据。

相似文献

1
System-level comparison of protein-protein interactions between viruses and the human type I interferon system network.病毒与人类 I 型干扰素系统网络中蛋白质-蛋白质相互作用的系统水平比较。
J Proteome Res. 2010 Jul 2;9(7):3527-36. doi: 10.1021/pr100326j.
2
Interaction networks: from protein functions to drug discovery. A review.相互作用网络:从蛋白质功能到药物发现。综述。
Pathol Biol (Paris). 2009 Jun;57(4):324-33. doi: 10.1016/j.patbio.2008.10.004. Epub 2008 Dec 13.
3
Direct cleavage, proteasomal degradation and sequestration: three mechanisms of viral subversion of type I interferon responses.直接切割、蛋白酶体降解和隔离:三种病毒颠覆 I 型干扰素反应的机制。
J Innate Immun. 2009;1(6):599-606. doi: 10.1159/000235861. Epub 2009 Aug 27.
4
The interface between the innate interferon response and expression of host retroviral restriction factors.先天干扰素反应与宿主逆转录病毒限制因子表达之间的界面。
Cytokine. 2010 Oct-Nov;52(1-2):108-15. doi: 10.1016/j.cyto.2010.04.010. Epub 2010 Jun 2.
5
[The first answer to viral infections: type I interferon].[病毒感染的首个应答:I型干扰素]
Berl Munch Tierarztl Wochenschr. 2004 Jul-Aug;117(7-8):252-65.
6
Quantitative analysis of cellular proteome alterations in human influenza A virus-infected mammalian cell lines.人甲型流感病毒感染的哺乳动物细胞系中细胞蛋白质组变化的定量分析。
Proteomics. 2009 Jun;9(12):3316-27. doi: 10.1002/pmic.200800893.
7
A network analysis of the single nucleotide polymorphisms in acute allergic diseases.急性过敏性疾病中单核苷酸多态性的网络分析。
Allergy. 2010 Jan;65(1):40-7. doi: 10.1111/j.1398-9995.2009.02101.x. Epub 2009 Oct 1.
8
SPIDer: Saccharomyces protein-protein interaction database.SPIDer:酿酒酵母蛋白质-蛋白质相互作用数据库。
BMC Bioinformatics. 2006 Dec 18;7 Suppl 5(Suppl 5):S16. doi: 10.1186/1471-2105-7-S5-S16.
9
The interferon response to bacterial and viral infections.针对细菌和病毒感染的干扰素反应。
J Endotoxin Res. 2006;12(4):246-50. doi: 10.1179/096805106X118799.
10
Viruses and interferon: a fight for supremacy.病毒与干扰素:一场争夺主导权的斗争。
Nat Rev Immunol. 2002 Sep;2(9):675-87. doi: 10.1038/nri888.

引用本文的文献

1
In the Absence of Type-1 IFN, HSV-1 LAT Increases γ34.5 Expression and Enhances Mortality in Infected Mice.在缺乏I型干扰素的情况下,单纯疱疹病毒1型潜伏相关转录物增加γ34.5的表达并提高感染小鼠的死亡率。
Viruses. 2025 Jul 29;17(8):1061. doi: 10.3390/v17081061.
2
The importance of IFNα2A (Roferon-A) in HSV-1 latency and T cell exhaustion in ocularly infected mice.IFNα2A(罗华宁)在 HSV-1 潜伏和眼感染小鼠 T 细胞耗竭中的重要性。
PLoS Pathog. 2024 Oct 1;20(10):e1012612. doi: 10.1371/journal.ppat.1012612. eCollection 2024 Oct.
3
Single-cell analysis reveals an antiviral network that controls Zika virus infection in human dendritic cells.
单细胞分析揭示了一个抗病毒网络,该网络控制人类树突状细胞中的寨卡病毒感染。
J Virol. 2024 May 14;98(5):e0019424. doi: 10.1128/jvi.00194-24. Epub 2024 Apr 3.
4
Beyond degree and betweenness centrality: Alternative topological measures to predict viral targets.超越度数和中间中心性:预测病毒靶点的替代拓扑度量。
PLoS One. 2018 May 24;13(5):e0197595. doi: 10.1371/journal.pone.0197595. eCollection 2018.
5
Local Action with Global Impact: Highly Similar Infection Patterns of Human Viruses and Bacteriophages.局部作用,全球影响:人类病毒与噬菌体高度相似的感染模式
mSystems. 2016 Mar 8;1(2). doi: 10.1128/mSystems.00030-15. eCollection 2016 Mar-Apr.
6
The human immune system's response to carcinogenic and other infectious agents transmitted by mosquito vectors.人类免疫系统对由蚊媒传播的致癌物质及其他感染源的反应。
Parasitol Res. 2017 Jan;116(1):1-9. doi: 10.1007/s00436-016-5272-2. Epub 2016 Oct 27.
7
Reconstruction and Application of Protein-Protein Interaction Network.蛋白质-蛋白质相互作用网络的构建与应用
Int J Mol Sci. 2016 Jun 8;17(6):907. doi: 10.3390/ijms17060907.
8
The interactome of Streptococcus pneumoniae and its bacteriophages show highly specific patterns of interactions among bacteria and their phages.肺炎链球菌与其噬菌体的相互作用组显示出细菌与其噬菌体之间高度特异性的相互作用模式。
Sci Rep. 2016 Apr 22;6:24597. doi: 10.1038/srep24597.
9
Reverse genetics of rabies virus: new strategies to attenuate virus virulence for vaccine development.狂犬病病毒的反向遗传学:减毒病毒毒力用于疫苗开发的新策略
J Neurovirol. 2015 Aug;21(4):335-45. doi: 10.1007/s13365-015-0350-2. Epub 2015 May 21.
10
An integrative approach for a network based meta-analysis of viral RNAi screens.一种基于网络的病毒RNA干扰筛选的整合性荟萃分析方法。
Algorithms Mol Biol. 2015 Feb 13;10:6. doi: 10.1186/s13015-015-0035-7. eCollection 2015.