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用于定量噬菌体-细菌相互作用图谱绘制的下一代相互作用蛋白质组学

Next-generation interaction proteomics for quantitative Jumbophage-bacteria interaction mapping.

作者信息

Fossati Andrea, Mozumdar Deepto, Kokontis Claire, Mèndez-Moran Melissa, Nieweglowska Eliza, Pelin Adrian, Li Yuping, Guo Baron, Krogan Nevan J, Agard David A, Bondy-Denomy Joseph, Swaney Danielle L

出版信息

bioRxiv. 2023 Feb 23:2023.01.13.523954. doi: 10.1101/2023.01.13.523954.

Abstract

Host-pathogen interactions (HPIs) are pivotal in regulating establishment, progression, and outcome of an infection. Affinity-purification mass spectrometry has become instrumental for the characterization of HPIs, however the targeted nature of exogenously expressing individual viral proteins has limited its utility to the analysis of relatively small pathogens. Here we present the use of co-fractionation mass spectrometry (SEC-MS) for the high-throughput analysis of HPIs from native viral infections of two jumbophages ( KZ and PA3) in . This enabled the detection 6000 unique host-pathogen and 200 pathogen-pathogen interactions for each phage, encompassing 50% of the phage proteome. Interactome-wide comparison across phages showed similar perturbed protein interactions suggesting fundamentally conserved mechanisms of phage predation within the KZ-like phage family. Prediction of novel ORFs revealed a PA3 complex showing strong structural and sequence similarity to KZ nvRNAp, suggesting PA3 also possesses two RNA polymerases acting at different stages of the infection cycle. We further expanded our understanding on the molecular organization of the virion packaged and injected proteome by identifying 23 novel virion components and 5 novel injected proteins, as well as providing the first evidence for interactions between KZ-like phage proteins and the host ribosome. To enable accessibility to this data, we developed PhageMAP, an online resource for network query, visualization, and interaction prediction ( https://phagemap.ucsf.edu/ ). We anticipate this study will lay the foundation for the application of co-fractionation mass spectrometry for the scalable profiling of hostpathogen interactomes and protein complex dynamics upon infection.

摘要

宿主-病原体相互作用(HPIs)在调节感染的建立、进展和结果方面起着关键作用。亲和纯化质谱已成为表征HPIs的重要工具,然而,外源表达单个病毒蛋白的靶向性质限制了其在分析相对较小病原体方面的应用。在这里,我们展示了使用共分级质谱(SEC-MS)对两种巨型噬菌体(KZ和PA3)在天然病毒感染中的HPIs进行高通量分析。这使得每种噬菌体能够检测到6000种独特的宿主-病原体相互作用和200种病原体-病原体相互作用,涵盖了50%的噬菌体蛋白质组。跨噬菌体的全相互作用组比较显示出相似的受干扰蛋白质相互作用,表明在KZ样噬菌体家族中噬菌体捕食的基本保守机制。新开放阅读框的预测揭示了一种PA3复合物,它与KZ nvRNAp具有很强的结构和序列相似性,表明PA3也拥有两种在感染周期不同阶段起作用的RNA聚合酶。我们通过鉴定23种新的病毒体成分和5种新的注入蛋白,进一步扩展了我们对病毒体包装和注入蛋白质组分子组织的理解,并首次提供了KZ样噬菌体蛋白与宿主核糖体之间相互作用的证据。为了使这些数据易于获取,我们开发了PhageMAP,这是一个用于网络查询、可视化和相互作用预测的在线资源(https://phagemap.ucsf.edu/)。我们预计这项研究将为应用共分级质谱对感染时宿主-病原体相互作用组和蛋白质复合物动力学进行可扩展分析奠定基础。

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