Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes
Multi-omic profiling is a powerful approach to dissecting molecular mechanisms in disease. Here the authors generate whole proteome, phosphoproteome and transcriptome profiles from two mouse models of high-grade glioma driven by different oncogenes, and validate identified master regulators with a C...
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Nature Portfolio
2019
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oai:doaj.org-article:61f32b7ce86246f7a09c004f131270432021-12-02T17:01:52ZDeep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes10.1038/s41467-019-11661-42041-1723https://doaj.org/article/61f32b7ce86246f7a09c004f131270432019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11661-4https://doaj.org/toc/2041-1723Multi-omic profiling is a powerful approach to dissecting molecular mechanisms in disease. Here the authors generate whole proteome, phosphoproteome and transcriptome profiles from two mouse models of high-grade glioma driven by different oncogenes, and validate identified master regulators with a CRISPR screen.Hong WangAlexander K. DiazTimothy I. ShawYuxin LiMingming NiuJi-Hoon ChoBarbara S. PaughYang ZhangJeffrey SiffordBing BaiZhiping WuHaiyan TanSuiping ZhouLaura D. HoverHeather S. TillmanAbbas ShirinifardSuresh ThiagarajanAndras SablauerVishwajeeth PagalaAnthony A. HighXusheng WangChunliang LiSuzanne J. BakerJunmin PengNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-15 (2019) |
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Science Q Hong Wang Alexander K. Diaz Timothy I. Shaw Yuxin Li Mingming Niu Ji-Hoon Cho Barbara S. Paugh Yang Zhang Jeffrey Sifford Bing Bai Zhiping Wu Haiyan Tan Suiping Zhou Laura D. Hover Heather S. Tillman Abbas Shirinifard Suresh Thiagarajan Andras Sablauer Vishwajeeth Pagala Anthony A. High Xusheng Wang Chunliang Li Suzanne J. Baker Junmin Peng Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
description |
Multi-omic profiling is a powerful approach to dissecting molecular mechanisms in disease. Here the authors generate whole proteome, phosphoproteome and transcriptome profiles from two mouse models of high-grade glioma driven by different oncogenes, and validate identified master regulators with a CRISPR screen. |
format |
article |
author |
Hong Wang Alexander K. Diaz Timothy I. Shaw Yuxin Li Mingming Niu Ji-Hoon Cho Barbara S. Paugh Yang Zhang Jeffrey Sifford Bing Bai Zhiping Wu Haiyan Tan Suiping Zhou Laura D. Hover Heather S. Tillman Abbas Shirinifard Suresh Thiagarajan Andras Sablauer Vishwajeeth Pagala Anthony A. High Xusheng Wang Chunliang Li Suzanne J. Baker Junmin Peng |
author_facet |
Hong Wang Alexander K. Diaz Timothy I. Shaw Yuxin Li Mingming Niu Ji-Hoon Cho Barbara S. Paugh Yang Zhang Jeffrey Sifford Bing Bai Zhiping Wu Haiyan Tan Suiping Zhou Laura D. Hover Heather S. Tillman Abbas Shirinifard Suresh Thiagarajan Andras Sablauer Vishwajeeth Pagala Anthony A. High Xusheng Wang Chunliang Li Suzanne J. Baker Junmin Peng |
author_sort |
Hong Wang |
title |
Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
title_short |
Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
title_full |
Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
title_fullStr |
Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
title_full_unstemmed |
Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
title_sort |
deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/61f32b7ce86246f7a09c004f13127043 |
work_keys_str_mv |
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