Pan-cancer proteomic map of 949 human cell lines

被引：118

作者：

Goncalves, Emanuel ^{[1
,2
,3
]}

Poulos, Rebecca C. ^{[4
]}

Cai, Zhaoxiang ^{[4
]}

Barthorpe, Syd ^{[1
]}

Manda, Srikanth S. ^{[4
]}

Lucas, Natasha ^{[4
]}

Beck, Alexandra ^{[1
]}

Bucio-Noble, Daniel ^{[4
]}

Dausmann, Michael ^{[4
]}

Hall, Caitlin ^{[1
]}

Hecker, Michael ^{[4
]}

Koh, Jennifer ^{[4
]}

Lightfoot, Howard ^{[1
]}

Mahboob, Sadia ^{[4
]}

Mali, Iman ^{[1
]}

Morris, James ^{[1
]}

Richardson, Laura ^{[1
]}

Seneviratne, Akila J. ^{[4
]}

Shepherd, Rebecca ^{[1
]}

Sykes, Erin ^{[4
]}

Thomas, Frances ^{[1
]}

Valentini, Sara ^{[1
]}

Williams, Steven G. ^{[4
]}

Wu, Yangxiu ^{[4
]}

Xavier, Dylan ^{[4
]}

MacKenzie, Karen L. ^{[4
]}

Hains, Peter G. ^{[4
]}

Tully, Brett ^{[4
]}

Robinson, Phillip J. ^{[4
]}

Zhong, Qing ^{[4
]}

Garnett, Mathew J. ^{[1
]}

Reddel, Roger R. ^{[4
]}

机构：

[1] Wellcome Sanger Inst, Wellcome Genome Campus, Cambridge CB10 1SA, England

[2] Univ Lisbon, Inst Super Tecn IST, P-1049001 Lisbon, Portugal

[3] INESC ID, P-1000029 Lisbon, Portugal

[4] Univ Sydney, Fac Med & Hlth, Childrens Med Res Inst, ProCan, Westmead, NSW, Australia

来源：

CANCER CELL | 2022年 / 40卷 / 08期

基金：

英国惠康基金; 英国医学研究理事会; 澳大利亚国家健康与医学研究理事会;

关键词：

INTEGRATED PROTEOGENOMIC CHARACTERIZATION; DRUG-SENSITIVITY; HUMAN COLON; LARGE-SCALE; REVEALS; LANDSCAPE; RESOURCE; DATABASE; DEPENDENCY; COMPENDIUM;

D O I：

10.1016/j.ccell.2022.06.010

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

The proteome provides unique insights into disease biology beyond the genome and transcriptome. A lack of large proteomic datasets has restricted the identification of new cancer biomarkers. Here, proteomes of 949 cancer cell lines across 28 tissue types are analyzed by mass spectrometry. Deploying a workflow to quantify 8,498 proteins, these data capture evidence of cell-type and post-transcriptional modifications. Integrating multi-omics, drug response, and CRISPR-Cas9 gene essentiality screens with a deep learning-based pipeline reveals thousands of protein biomarkers of cancer vulnerabilities that are not significant at the transcript level. The power of the proteome to predict drug response is very similar to that of the transcriptome. Further, random downsampling to only 1,500 proteins has limited impact on predictive power, consistent with protein networks being highly connected and co-regulated. This pan-cancer proteomic map (ProCan-DepMapSanger) is a comprehensive resource available at https://cellmodelpassports.sanger.ac.uk.

引用

页码：835 / +

页数：23

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