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双向 CRISPR 转录调控筛选揭示了驱动耐药性的基因网络。

Dual direction CRISPR transcriptional regulation screening uncovers gene networks driving drug resistance.

机构信息

Horizon Discovery, 8100 Cambridge Research Park, Waterbeach, Cambridge, CB25 9TL, United Kingdom.

出版信息

Sci Rep. 2017 Dec 18;7(1):17693. doi: 10.1038/s41598-017-18172-6.

Abstract

Pooled CRISPR-Cas9 knock out screens provide a valuable addition to the methods available for novel drug target identification and validation. However, where gene editing is targeted to amplified loci, the resulting multiple DNA cleavage events can be a cause of false positive hit identification. The generation of nuclease deficient versions of Cas9 has enabled the development of two additional techniques - CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) - that enable the repression or overexpression, respectively, of target genes. Here we report the first direct combination of all three approaches (CRISPRko, CRISPRi and CRISPRa) in the context of genome-wide screens to identify components that influence resistance and sensitivity to the BRAF inhibitor, vemurafenib. The pairing of both loss- and gain-of-function datasets reveals complex gene networks which control drug response and illustrates how such data can add substantial confidence to target identification and validation analyses.

摘要

基于 CRISPR-Cas9 的基因敲除筛选为新型药物靶标鉴定和验证提供了一种有价值的方法。然而,当基因编辑针对扩增的基因座时,由此产生的多个 DNA 切割事件可能导致假阳性命中的识别。Cas9 的核酸酶缺陷版本的产生,使得两种额外技术的开发成为可能——CRISPR 干扰(CRISPRi)和 CRISPR 激活(CRISPRa)——分别能够抑制或过表达靶基因。在这里,我们报告了这三种方法(CRISPRko、CRISPRi 和 CRISPRa)在全基因组筛选中首次直接结合,以鉴定影响 BRAF 抑制剂 vemurafenib 耐药性和敏感性的成分。功能丧失和功能获得数据集的配对揭示了控制药物反应的复杂基因网络,并说明了此类数据如何为靶标鉴定和验证分析增加实质性的置信度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b7e/5735189/5f9335c1f40b/41598_2017_18172_Fig1_HTML.jpg

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