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连接病毒与细胞互作组

Connecting viral with cellular interactomes.

作者信息

Bailer S M, Haas J

机构信息

Max-von-Pettenkofer Institut, Ludwig-Maximilians-Universität München, Muenchen, Germany.

出版信息

Curr Opin Microbiol. 2009 Aug;12(4):453-9. doi: 10.1016/j.mib.2009.06.004. Epub 2009 Jul 24.

DOI:10.1016/j.mib.2009.06.004
PMID:19632888
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7108267/
Abstract

Genome-scale screens for intraviral and virus-host protein interactions and the analysis of literature-curated datasets are able to provide a novel, comprehensive perspective of viruses, and virus-infected cells. Until now, large-scale interaction screens were predominantly performed with the yeast-two-hybrid (Y2H) system; however, alternative high-throughput technologies detecting binary protein interactions or protein complexes have been developed. Although many of the previous studies suffer from a rather poor validation of the results and few biological implications, these technologies potentially lead to a plethora of novel hypotheses. Here, we will give an overview of current approaches and their technical limitations, present recent examples and novel developments.

摘要

针对病毒内和病毒-宿主蛋白相互作用的全基因组规模筛选以及对文献整理数据集的分析,能够为病毒和病毒感染细胞提供全新的、全面的视角。到目前为止,大规模相互作用筛选主要是利用酵母双杂交(Y2H)系统进行的;然而,已经开发出了检测二元蛋白相互作用或蛋白复合物的其他高通量技术。尽管之前的许多研究在结果验证方面相当不足,且生物学意义有限,但这些技术有可能产生大量新的假设。在这里,我们将概述当前的方法及其技术局限性,展示近期的实例和新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/a628f84634fb/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/c122e43d6360/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/b64e0f3d6128/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/b973db97defc/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/a628f84634fb/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/c122e43d6360/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/b64e0f3d6128/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/b973db97defc/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/399a/7108267/a628f84634fb/gr4_lrg.jpg

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本文引用的文献

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Literature-curated protein interaction datasets.文献整理的蛋白质相互作用数据集。
Nat Methods. 2009 Jan;6(1):39-46. doi: 10.1038/nmeth.1284.
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Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistance.结核分枝杆菌相互作用组分析揭示了耐药性的潜在途径。
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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.
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Viral Fitness Correlates with the Magnitude and Direction of the Perturbation Induced in the Host's Transcriptome: The Tobacco Etch Potyvirus-Tobacco Case Study.病毒适应度与宿主转录组受干扰的幅度和方向相关:烟草蚀纹病毒-烟草案例研究。
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Mechanisms of action of Coxiella burnetii effectors inferred from host-pathogen protein interactions.从宿主-病原体蛋白质相互作用推断伯氏考克斯氏体效应蛋白的作用机制。
PLoS One. 2017 Nov 27;12(11):e0188071. doi: 10.1371/journal.pone.0188071. eCollection 2017.
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Protein-Protein Interactions in Virus-Host Systems.病毒-宿主系统中的蛋白质-蛋白质相互作用
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