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使用基于条形码的CRISPRi系统精确测量分子表型。

Precise measurement of molecular phenotypes with barcode-based CRISPRi systems.

作者信息

Lobel Joseph H, Ingolia Nicholas T

机构信息

Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.

Lead contact.

出版信息

bioRxiv. 2024 Jun 22:2024.06.21.600132. doi: 10.1101/2024.06.21.600132.

DOI:10.1101/2024.06.21.600132
PMID:38948701
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11213135/
Abstract

Genome-wide CRISPR-Cas9 screens have untangled regulatory networks and revealed the genetic underpinnings of diverse biological processes. Their success relies on experimental designs that interrogate specific molecular phenotypes and distinguish key regulators from background effects. Here, we realize these goals with a generalizable platform for CRISPR interference with barcoded expression reporter sequencing (CiBER-seq) that dramatically improves the sensitivity and scope of genome-wide screens. We systematically address technical factors that distort phenotypic measurements by normalizing expression reporters against closely-matched control promoters, integrated together into the genome at single copy. To test our ability to capture post-transcriptional and post-translational regulation through sequencing, we screened for genes that affected nonsense-mediated mRNA decay and Doa10-mediated cytosolic protein decay. Our optimized CiBER-seq screens accurately capture the known components of well-studied RNA and protein quality control pathways with minimal background. These results demonstrate the precision and versatility of CiBER-seq for dissecting the genetic networks controlling cellular behaviors.

摘要

全基因组CRISPR-Cas9筛选解开了调控网络,揭示了多种生物学过程的遗传基础。它们的成功依赖于能探究特定分子表型并区分关键调控因子与背景效应的实验设计。在此,我们通过一个用于CRISPR干扰与条形码表达报告基因测序(CiBER-seq)的通用平台实现了这些目标,该平台显著提高了全基因组筛选的灵敏度和范围。我们通过将表达报告基因与紧密匹配的对照启动子进行归一化处理来系统地解决扭曲表型测量的技术因素,这些对照启动子以单拷贝形式整合到基因组中。为了测试我们通过测序捕获转录后和翻译后调控的能力,我们筛选了影响无义介导的mRNA降解和Doa10介导的胞质蛋白降解的基因。我们优化后的CiBER-seq筛选以最小的背景准确捕获了研究充分的RNA和蛋白质质量控制途径的已知成分。这些结果证明了CiBER-seq在剖析控制细胞行为的遗传网络方面的精确性和通用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/cdfffb4d7148/nihpp-2024.06.21.600132v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/4e12f931b309/nihpp-2024.06.21.600132v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/d766178e4071/nihpp-2024.06.21.600132v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/50d73fc2d26c/nihpp-2024.06.21.600132v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/cdfffb4d7148/nihpp-2024.06.21.600132v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/4e12f931b309/nihpp-2024.06.21.600132v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/d766178e4071/nihpp-2024.06.21.600132v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/50d73fc2d26c/nihpp-2024.06.21.600132v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afed/11213135/cdfffb4d7148/nihpp-2024.06.21.600132v1-f0004.jpg

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