Anna Lilja, Yaara Finkel, Einav Aharon, Aharon Nachshon, Michal Schwartz, Noam Stern-Ginossar
{"title":"使用基于病毒编码crispr的直接读出系统(VECOS)对宿主-病毒相互作用进行多维分析。","authors":"Anna Lilja, Yaara Finkel, Einav Aharon, Aharon Nachshon, Michal Schwartz, Noam Stern-Ginossar","doi":"10.1038/s41596-025-01242-9","DOIUrl":null,"url":null,"abstract":"<p><p>CRISPR-Cas9 technology has transformed the study of gene function, enabling the systematic investigation of host-virus interactions. However, most CRISPR-based screens in the context of viral infections rely on cell survival as a readout, which limits their sensitivity and biases results toward early infection stages. To address these challenges, we developed the virus-encoded CRISPR-based direct readout system (VECOS), a virus-centric approach in which human cytomegalovirus is engineered to express single-guide RNA (sgRNA) libraries directly from its genome. This system allows sgRNA abundance, embedded in the viral genome, to serve as a direct and quantitative readout of gene-perturbation effects on viral propagation. By tracking sgRNA levels at distinct stages of the viral infection cycle, VECOS enables a detailed, multidimensional analysis of virus-host interactions. Here we present a modular detailed Protocol for (1) constructing and reconstituting complex sgRNA libraries in double-stranded DNA viruses using bacterial artificial chromosomes, (2) performing multipassage screens to investigate perturbation effects on various stages of viral infection and (3) analyzing the multipassage and multistage sgRNA abundance measurements utilizing a comprehensive framework for data analysis. Successful implementation of this full Protocol takes 14-22 weeks and requires proficiency in molecular biology, as well as basic familiarity with Unix-based computing and programming in R for data processing. This Protocol offers researchers a robust tool for uncovering the molecular mechanisms that drive viral propagation and host-virus interactions.</p>","PeriodicalId":18901,"journal":{"name":"Nature Protocols","volume":" ","pages":""},"PeriodicalIF":16.0000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multidimensional analysis of host-virus interactions using the virus-encoded CRISPR-based direct readout system (VECOS).\",\"authors\":\"Anna Lilja, Yaara Finkel, Einav Aharon, Aharon Nachshon, Michal Schwartz, Noam Stern-Ginossar\",\"doi\":\"10.1038/s41596-025-01242-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>CRISPR-Cas9 technology has transformed the study of gene function, enabling the systematic investigation of host-virus interactions. However, most CRISPR-based screens in the context of viral infections rely on cell survival as a readout, which limits their sensitivity and biases results toward early infection stages. To address these challenges, we developed the virus-encoded CRISPR-based direct readout system (VECOS), a virus-centric approach in which human cytomegalovirus is engineered to express single-guide RNA (sgRNA) libraries directly from its genome. This system allows sgRNA abundance, embedded in the viral genome, to serve as a direct and quantitative readout of gene-perturbation effects on viral propagation. By tracking sgRNA levels at distinct stages of the viral infection cycle, VECOS enables a detailed, multidimensional analysis of virus-host interactions. Here we present a modular detailed Protocol for (1) constructing and reconstituting complex sgRNA libraries in double-stranded DNA viruses using bacterial artificial chromosomes, (2) performing multipassage screens to investigate perturbation effects on various stages of viral infection and (3) analyzing the multipassage and multistage sgRNA abundance measurements utilizing a comprehensive framework for data analysis. Successful implementation of this full Protocol takes 14-22 weeks and requires proficiency in molecular biology, as well as basic familiarity with Unix-based computing and programming in R for data processing. This Protocol offers researchers a robust tool for uncovering the molecular mechanisms that drive viral propagation and host-virus interactions.</p>\",\"PeriodicalId\":18901,\"journal\":{\"name\":\"Nature Protocols\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":16.0000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Protocols\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1038/s41596-025-01242-9\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Protocols","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41596-025-01242-9","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Multidimensional analysis of host-virus interactions using the virus-encoded CRISPR-based direct readout system (VECOS).
CRISPR-Cas9 technology has transformed the study of gene function, enabling the systematic investigation of host-virus interactions. However, most CRISPR-based screens in the context of viral infections rely on cell survival as a readout, which limits their sensitivity and biases results toward early infection stages. To address these challenges, we developed the virus-encoded CRISPR-based direct readout system (VECOS), a virus-centric approach in which human cytomegalovirus is engineered to express single-guide RNA (sgRNA) libraries directly from its genome. This system allows sgRNA abundance, embedded in the viral genome, to serve as a direct and quantitative readout of gene-perturbation effects on viral propagation. By tracking sgRNA levels at distinct stages of the viral infection cycle, VECOS enables a detailed, multidimensional analysis of virus-host interactions. Here we present a modular detailed Protocol for (1) constructing and reconstituting complex sgRNA libraries in double-stranded DNA viruses using bacterial artificial chromosomes, (2) performing multipassage screens to investigate perturbation effects on various stages of viral infection and (3) analyzing the multipassage and multistage sgRNA abundance measurements utilizing a comprehensive framework for data analysis. Successful implementation of this full Protocol takes 14-22 weeks and requires proficiency in molecular biology, as well as basic familiarity with Unix-based computing and programming in R for data processing. This Protocol offers researchers a robust tool for uncovering the molecular mechanisms that drive viral propagation and host-virus interactions.
期刊介绍:
Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured.
The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.