A TRPV2 interactome-based signature for prognosis in glioblastoma patients.

ABSTRACT: Proteomics aids to the discovery and expansion of protein-protein interaction networks, which are key to understand molecular mechanisms in physiology and physiopathology, but also to infer protein function in a guilt-by-association fashion. In this study we use a systematic protein-protein interaction membrane yeast two-hybrid method to expand the interactome of TRPV2, a cation channel related to nervous system development. After validation of the interactome in silico, we define a TRPV2-interactome signature combining proteomics with the available physio-pathological data in Disgenet to find interactome-disease associations, highlighting nervous system disorders and neoplasms. The TRPV2-interactome signature against available experimental data is capable of discriminating overall

SUBMITTER: Donate-Macian P 

PROVIDER: S-EPMC5915080 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature