Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes

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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Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2019-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-11661-4
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spelling doaj-61f32b7ce86246f7a09c004f131270432021-05-11T12:10:10ZengNature Publishing GroupNature Communications2041-17232019-08-0110111510.1038/s41467-019-11661-4Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genesHong Wang0Alexander K. Diaz1Timothy I. Shaw2Yuxin Li3Mingming Niu4Ji-Hoon Cho5Barbara S. Paugh6Yang Zhang7Jeffrey Sifford8Bing Bai9Zhiping Wu10Haiyan Tan11Suiping Zhou12Laura D. Hover13Heather S. Tillman14Abbas Shirinifard15Suresh Thiagarajan16Andras Sablauer17Vishwajeeth Pagala18Anthony A. High19Xusheng Wang20Chunliang Li21Suzanne J. Baker22Junmin Peng23Department of Structural Biology, St. Jude Children’s Research HospitalIntegrated Biomedical Sciences Program, University of Tennessee Health Science CenterCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalDepartment of Structural Biology, St. Jude Children’s Research HospitalDepartment of Structural Biology, St. Jude Children’s Research HospitalCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalDepartment of Developmental Neurobiology, St. Jude Children’s Research HospitalDepartment of Tumor Cell Biology, St. Jude Children’s Research HospitalDepartment of Structural Biology, St. Jude Children’s Research HospitalDepartment of Structural Biology, St. Jude Children’s Research HospitalDepartment of Structural Biology, St. Jude Children’s Research HospitalCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalDepartment of Developmental Neurobiology, St. Jude Children’s Research HospitalDepartment of Pathology, St. Jude Children’s Research HospitalDepartment of Information Sciences, St. Jude Children’s Research HospitalDepartment of Diagnostic Imaging, St. Jude Children’s Research HospitalDepartment of Information Sciences, St. Jude Children’s Research HospitalCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalCenter for Proteomics and Metabolomics, St. Jude Children’s Research HospitalDepartment of Tumor Cell Biology, St. Jude Children’s Research HospitalDepartment of Developmental Neurobiology, St. Jude Children’s Research HospitalDepartment of Structural Biology, St. Jude Children’s Research HospitalMulti-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.https://doi.org/10.1038/s41467-019-11661-4
collection DOAJ
language English
format Article
sources DOAJ
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
spellingShingle 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
Nature Communications
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 Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-08-01
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.
url https://doi.org/10.1038/s41467-019-11661-4
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