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Updated: Jan 17, 2026

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors
Published on: September 13, 2018
Multidimensional analysis of host-virus interactions using the virus-encoded CRISPR-based direct readout system
Anna Lilja1, Yaara Finkel1,2, Einav Aharon1
1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Abstract:
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.
Insights
Researchers developed a virus-encoded CRISPR-based direct readout system (VECOS) to overcome limitations in studying host-virus interactions. This novel method uses viral genome-integrated sgRNA libraries for sensitive, stage-specific analysis of viral propagation.
Area of Science:
- Molecular Biology
- Virology
- Genetics
Background:
- CRISPR-Cas9 technology facilitates gene function studies, including host-virus interactions.
- Existing CRISPR screens for viral infections often use cell survival, limiting sensitivity and focusing on early stages.
- A more sensitive and comprehensive method is needed to analyze virus-host interactions across the entire infection cycle.
Purpose of the Study:
- To develop and present a protocol for the virus-encoded CRISPR-based direct readout system (VECOS).
- To enable sensitive, quantitative, and stage-specific analysis of host-virus interactions during viral infections.
- To provide a robust tool for uncovering molecular mechanisms of viral propagation.
Main Methods:
- Engineered human cytomegalovirus to express single-guide RNA (sgRNA) libraries directly from its genome (VECOS).
- Constructed complex sgRNA libraries in double-stranded DNA viruses using bacterial artificial chromosomes.
- Performed multipassage screens and analyzed sgRNA abundance across distinct viral infection stages.
Main Results:
- VECOS allows sgRNA abundance within the viral genome to serve as a direct readout of gene-perturbation effects.
- The system enables multidimensional analysis of virus-host interactions by tracking sgRNA levels at different infection stages.
- A comprehensive data analysis framework was developed for multipassage and multistage measurements.
Conclusions:
- VECOS offers a robust and sensitive approach to study host-virus interactions, overcoming limitations of previous methods.
- This system provides a detailed, quantitative understanding of viral propagation and host responses throughout the infection cycle.
- The protocol facilitates the discovery of molecular mechanisms driving viral infections and host-pathogen dynamics.
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