小柯机器人

研究绘制949个人类细胞系的泛癌症蛋白质组图谱
2022-07-16 22:15

澳大利亚悉尼大学Roger R. Reddel,Qing Zhong和Phillip J. Robinson以及英国韦康桑格学院Mathew J. Garnett团队共同合作近期取得重要工作进展,他们共同研究绘制了949个人类细胞系的泛癌症蛋白质组图谱。相关论文2022年7月14日在线发表于《癌细胞》杂志上。

蛋白质组为基因组和转录组之外的疾病生物学提供了独特的见解。缺乏大型蛋白质组数据集限制了新癌症生物标志物的识别。在这里,研究人员通过质谱分析了28种组织类型的949种癌细胞系的蛋白质组。部署工作流程,对8498个蛋白质进行定量分析,这些数据捕获了细胞类型和转录后修饰的证据。

将多组学、药物反应和CRISPR-Cas9基因必要性筛选与基于深度学习的管道相结合,揭示了数千种在转录水平上并不显著的癌症易感性蛋白质生物标志物。蛋白质组预测药物反应的能力与转录组非常相似。此外,仅对1,500种蛋白质进行随机下采样对预测能力的影响有限,这与高度连接和共同调节的蛋白质网络一致。此泛癌蛋白质组图谱(ProCan-DepMapSanger)是一个综合资源,可在https://cellmodelpassports.sanger.ac.uk上获取。

附:英文原文

Title: Pan-cancer proteomic map of 949 human cell lines

Author: Emanuel Gonalves, Rebecca C. Poulos, Zhaoxiang Cai, Syd Barthorpe, Srikanth S. Manda, Natasha Lucas, Alexandra Beck, Daniel Bucio-Noble, Michael Dausmann, Caitlin Hall, Michael Hecker, Jennifer Koh, Howard Lightfoot, Sadia Mahboob, Iman Mali, James Morris, Laura Richardson, Akila J. Seneviratne, Rebecca Shepherd, Erin Sykes, Frances Thomas, Sara Valentini, Steven G. Williams, Yangxiu Wu, Dylan Xavier, Karen L. MacKenzie, Peter G. Hains, Brett Tully, Phillip J. Robinson, Qing Zhong, Mathew J. Garnett, Roger R. Reddel

Issue&Volume: 2022-07-14

Abstract: 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.

DOI: 10.1016/j.ccell.2022.06.010

Source: https://www.cell.com/cancer-cell/fulltext/S1535-6108(22)00274-4

Cancer Cell:《癌细胞》,创刊于2002年。隶属于细胞出版社,最新IF:38.585
官方网址:https://www.cell.com/cancer-cell/home
投稿链接:https://www.editorialmanager.com/cancer-cell/default.aspx


本期文章:《癌细胞》:Online/在线发表

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