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RELATe 实现了真菌基因组学中的全基因组规模工程。

RELATe enables genome-scale engineering in fungal genomics.

机构信息

Division of Pediatric Infectious Diseases, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.

Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.

出版信息

Sci Adv. 2020 Sep 18;6(38). doi: 10.1126/sciadv.abb8783. Print 2020 Sep.

Abstract

CRISPR-Cas9-based screening with single-guide RNA (sgRNA) libraries has emerged as a revolutionary tool for comprehensive analysis of genetic elements. However, genome-scale sgRNA libraries are currently available only in a few model organisms. The traditional approach is to synthesize thousands to tens of thousands of sgRNAs, which is laborious and expensive. We have developed a simple method, RELATe (restriction/ligation coupled with -mediated transformation), to generate sgRNA libraries from 10 μg of genomic DNA, targeting over 98% of the protein-coding genes in the human fungal pathogen Functional screens identified 142 potential genes contributing to blood-brain barrier penetration. We selected two cryptococcal genes, and , for a proof-of-concept demonstration that RELATe-identified genes are relevant to central nervous system infection. Our RELATe method can be used in many other fungal species and is powerful and cost-effective for genome-wide high-throughput screening for elucidating functional genomics.

摘要

基于 CRISPR-Cas9 的单引导 RNA (sgRNA) 文库筛选技术已经成为全面分析遗传元件的革命性工具。然而,目前只有少数几种模式生物拥有基因组规模的 sgRNA 文库。传统的方法是合成数千到数万种 sgRNA,这既费力又昂贵。我们开发了一种简单的方法 RELATe(限制/连接与介导的转化),可以从 10μg 的基因组 DNA 中生成 sgRNA 文库,靶向人类真菌病原体中超过 98%的编码蛋白基因。功能筛选鉴定出了 142 个可能有助于血脑屏障穿透的 基因。我们选择了两个隐球菌基因,和 ,进行概念验证,证明 RELATe 鉴定的基因与中枢神经系统感染相关。我们的 RELATe 方法可用于许多其他真菌物种,并且对于阐明功能基因组学的全基因组高通量筛选具有强大且经济高效的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0749/7500931/af54dcca134a/abb8783-F1.jpg

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