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。

IF 16 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Anna Lilja, Yaara Finkel, Einav Aharon, Aharon Nachshon, Michal Schwartz, Noam Stern-Ginossar
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引用次数: 0

摘要

CRISPR-Cas9技术改变了基因功能的研究,使宿主-病毒相互作用的系统研究成为可能。然而,在病毒感染的背景下,大多数基于crispr的筛选依赖于细胞存活作为读数,这限制了它们的敏感性,并使结果偏向于早期感染阶段。为了解决这些挑战,我们开发了基于病毒编码crispr的直接读出系统(VECOS),这是一种以病毒为中心的方法,其中人类巨细胞病毒被设计成直接从其基因组中表达单向导RNA (sgRNA)文库。该系统允许嵌入病毒基因组的sgRNA丰度作为基因扰动对病毒传播影响的直接和定量读数。通过在病毒感染周期的不同阶段跟踪sgRNA水平,VECOS能够对病毒-宿主相互作用进行详细的多维分析。在这里,我们提出了一个模块化的详细方案:(1)利用细菌人工染色体在双链DNA病毒中构建和重建复杂的sgRNA文库,(2)进行多代筛选以研究扰动对不同阶段病毒感染的影响,(3)利用综合数据分析框架分析多代和多期sgRNA丰度测量。这个完整的协议的成功实施需要14-22周,需要精通分子生物学,以及基本熟悉基于unix的计算和R编程进行数据处理。该协议为研究人员揭示驱动病毒传播和宿主-病毒相互作用的分子机制提供了一个强大的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
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.
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