Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets.
Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets.
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DOI：
10.1093/nar/gkaa882
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发表时间：
2021-01-08
影响因子：
14.9
通讯作者：
Garnett MJ
中科院分区：
文献类型：
--
作者：
Dwane L;Behan FM;Gonçalves E;Lightfoot H;Yang W;van der Meer D;Shepherd R;Pignatelli M;Iorio F;Garnett MJ
癌症细胞模型中的CRISPR基因筛选是阐明致癌机制和鉴定有前景的治疗靶点的有力工具。Project Score数据库（https：//score.depmap.sanger.ac.uk/）在数百个高度注释的癌细胞模型中使用全基因组CRISPR-Cas9脱落筛选数据，以识别细胞适应性所需的基因，并优先考虑新的肿瘤靶点。Project Score数据库目前允许用户研究在323个癌细胞模型中测试的18009个基因的适应性效应。通过交互式界面，用户可以通过选择特定基因、癌细胞模型或组织类型以及浏览所有基因适应度得分来调查数据。此外，用户可以根据已建立的肿瘤学靶点优先级排序管道识别和排名候选药物靶点，结合每个靶点的遗传生物标志物和临床数据集，并包括基于药物易处理性的药物开发适用性。数据可免费获取和下载。为了加强分析，提供了其他关键资源的链接，包括Open Targets，COSMIC，Cell Model Passports，UniProt和癌症药物敏感性基因组学。Project Score数据库是一个有价值的新工具，用于研究癌细胞的遗传依赖性和识别候选肿瘤学靶点。
CRISPR genetic screens in cancer cell models are a powerful tool to elucidate oncogenic mechanisms and to identify promising therapeutic targets. The Project Score database (https://score.depmap.sanger.ac.uk/) uses genome-wide CRISPR–Cas9 dropout screening data in hundreds of highly annotated cancer cell models to identify genes required for cell fitness and prioritize novel oncology targets. The Project Score database currently allows users to investigate the fitness effect of 18 009 genes tested across 323 cancer cell models. Through interactive interfaces, users can investigate data by selecting a specific gene, cancer cell model or tissue type, as well as browsing all gene fitness scores. Additionally, users can identify and rank candidate drug targets based on an established oncology target prioritization pipeline, incorporating genetic biomarkers and clinical datasets for each target, and including suitability for drug development based on pharmaceutical tractability. Data are freely available and downloadable. To enhance analyses, links to other key resources including Open Targets, COSMIC, the Cell Model Passports, UniProt and the Genomics of Drug Sensitivity in Cancer are provided. The Project Score database is a valuable new tool for investigating genetic dependencies in cancer cells and the identification of candidate oncology targets.
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影响因子：
14.9
作者：
Lenoir WF;Lim TL;Hart T
通讯作者：
Hart T
影响因子：
14.9
作者：
Rauscher B;Heigwer F;Breinig M;Winter J;Boutros M
通讯作者：
Boutros M
影响因子：
14.9
作者：
Yang W;Soares J;Greninger P;Edelman EJ;Lightfoot H;Forbes S;Bindal N;Beare D;Smith JA;Thompson IR;Ramaswamy S;Futreal PA;Haber DA;Stratton MR;Benes C;McDermott U;Garnett MJ
通讯作者：
Garnett MJ
影响因子：
158.5
作者：
Jonker, Derek J.;O'Callaghan, Chris J.;Moore, Malcolm J.
通讯作者：
Moore, Malcolm J.
影响因子：
3
作者：
Hart T;Moffat J
通讯作者：
Moffat J