Graphical Abstract (IMAGE)

University of California - Santa Cruz

Graphical Abstract

Caption

Drake et al. developed a systematic computational approach to incorporate gene expression and new phosphoproteomic information that has been generated from the analysis of clinical prostate cancer tissues. This analysis revealed the most comprehensive network of activated kinases and transcription factors to date in this disease. Personalized pathway diagrams constructed using phosphoproteome information for six individual CRPC patients reveal common and distinct signaling mechanisms whose details suggest targets for therapeutic consideration.

Credit

Drake et al., <i>Cell</i>, 2016

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