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用于基于序列的靶向抗癌药物筛选的同基因细胞系面板。

An isogenic cell line panel for sequence-based screening of targeted anticancer drugs.

作者信息

Cook Ashley L, Wyhs Nicolas, Sur Surojit, Ptak Blair, Popoli Maria, Dobbyn Laura, Papadopoulos Tasos, Bettegowda Chetan, Papadopoulos Nickolas, Vogelstein Bert, Zhou Shibin, Kinzler Kenneth W

机构信息

Ludwig Center for Cancer Genetics and Therapeutics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Cellular and Molecular Medicine Program, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

出版信息

iScience. 2022 May 23;25(6):104437. doi: 10.1016/j.isci.2022.104437. eCollection 2022 Jun 17.

Abstract

We describe the creation of an isogenic cell line panel representing common cancer pathways, with features optimized for high-throughput screening. More than 1,800 cell lines from three normal human cell lines were generated using CRISPR technologies. Surprisingly, most of these lines did not result in complete gene inactivation despite integration of sgRNA at the desired genomic site. A subset of the lines harbored biallelic disruptions of the targeted tumor suppressor gene, yielding a final panel of 100 well-characterized lines covering 19 frequently lost cancer pathways. This panel included genetic markers optimized for sequence-based ratiometric assays for drug-based screening assays. To illustrate the potential utility of this panel, we developed a high-throughput screen that identified Wee1 inhibitor MK-1775 as a selective growth inhibitor of cells with inactivation of . These cell lines and screening approach should prove useful for researchers studying a variety of cellular and biochemical phenomena.

摘要

我们描述了一种代表常见癌症通路的同基因细胞系面板的创建,其特征针对高通量筛选进行了优化。使用CRISPR技术从三种正常人细胞系中产生了1800多个细胞系。令人惊讶的是,尽管sgRNA整合到了所需的基因组位点,但这些细胞系中的大多数并未导致基因完全失活。一部分细胞系携带了靶向肿瘤抑制基因的双等位基因破坏,最终形成了一个由100个特征明确的细胞系组成的面板,涵盖19条经常缺失的癌症通路。该面板包括针对基于序列的比率测定优化的遗传标记,用于基于药物的筛选测定。为了说明该面板的潜在用途,我们开发了一种高通量筛选方法,该方法确定了Wee1抑制剂MK-1775是具有失活的细胞的选择性生长抑制剂。这些细胞系和筛选方法对研究各种细胞和生化现象的研究人员应该是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11bd/9184558/108cf3695932/fx1.jpg

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