Convergent network effects along the axis of gene expression during prostate cancer progression

Convergent network effects along the axis of gene expression during prostate cancer progression

Abstract Background Tumor-specific genomic aberrations are routinely determined by high-throughput genomic measurements. It remains unclear how complex genome alterations affect molecular networks through changing protein levels and consequently biochemical states of tumor tissues. Results Here, we...

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Bibliographic Details
Main Authors: Konstantina Charmpi, Tiannan Guo, Qing Zhong, Ulrich Wagner, Rui Sun, Nora C. Toussaint, Christine E. Fritz, Chunhui Yuan, Hao Chen, Niels J. Rupp, Ailsa Christiansen, Dorothea Rutishauser, Jan H. Rüschoff, Christian Fankhauser, Karim Saba, Cedric Poyet, Thomas Hermanns, Kathrin Oehl, Ariane L. Moore, Christian Beisel, Laurence Calzone, Loredana Martignetti, Qiushi Zhang, Yi Zhu, María Rodríguez Martínez, Matteo Manica, Michael C. Haffner, Ruedi Aebersold, Peter J. Wild, Andreas Beyer
Format: Article
Language:English
Published: BMC 2020-12-01
Series:Genome Biology
Subjects:
Molecular aberrations
Network effects
Prostate cancer
Proteogenomic analysis
Tumor heterogeneity
Online Access:https://doi.org/10.1186/s13059-020-02188-9

Internet

https://doi.org/10.1186/s13059-020-02188-9

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