Honglin Chen, Philip D Charles, Quan Gu, Sabrina Liberatori, David L Robertson, Massimo Palmarini, Sam J Wilson, Shabaz Mohammed, Alfredo Castello
{"title":"Omics Analyses Uncover Host Networks Defining Virus-Permissive and -Hostile Cellular States.","authors":"Honglin Chen, Philip D Charles, Quan Gu, Sabrina Liberatori, David L Robertson, Massimo Palmarini, Sam J Wilson, Shabaz Mohammed, Alfredo Castello","doi":"10.1016/j.mcpro.2025.100966","DOIUrl":null,"url":null,"abstract":"<p><p>The capacity of host cells to sustain or restrict virus infection is influenced by their proteome. Understanding the compendium of proteins defining cellular permissiveness is key to many questions in fundamental virology. Here, we apply a multi-omic approach to determine the proteins that are associated with highly permissive, intermediate, and hostile cellular states. We observed two groups of differentially regulated genes: (i) with robust changes in mRNA and protein levels and (ii) with protein/RNA discordances. While many of the latter are classified as interferon-stimulated genes (ISGs), most exhibit no antiviral effects in overexpression screens. This suggests that IFN-dependent protein changes can be better indicators of antiviral function than mRNA levels. Phosphoproteomics revealed an additional regulatory layer involving non-signaling proteins with altered phosphorylation. Indeed, we confirmed that several permissiveness-associated proteins with changes in abundance or phosphorylation regulate infection fitness. Altogether, our study provides a comprehensive and systematic map of the cellular alterations driving virus susceptibility.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":"24 5","pages":"100966"},"PeriodicalIF":6.1000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12136899/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular & Cellular Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.mcpro.2025.100966","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The capacity of host cells to sustain or restrict virus infection is influenced by their proteome. Understanding the compendium of proteins defining cellular permissiveness is key to many questions in fundamental virology. Here, we apply a multi-omic approach to determine the proteins that are associated with highly permissive, intermediate, and hostile cellular states. We observed two groups of differentially regulated genes: (i) with robust changes in mRNA and protein levels and (ii) with protein/RNA discordances. While many of the latter are classified as interferon-stimulated genes (ISGs), most exhibit no antiviral effects in overexpression screens. This suggests that IFN-dependent protein changes can be better indicators of antiviral function than mRNA levels. Phosphoproteomics revealed an additional regulatory layer involving non-signaling proteins with altered phosphorylation. Indeed, we confirmed that several permissiveness-associated proteins with changes in abundance or phosphorylation regulate infection fitness. Altogether, our study provides a comprehensive and systematic map of the cellular alterations driving virus susceptibility.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes