Proteomics

Dataset Information

Identification of signalling pathways downstream of ARHGEF17


ABSTRACT: Somatic DNA copy number variations (CNVs) are prevalent in cancer and can drive cancer progression albeit with often uncharacterized roles in altering cell signaling states. We developed a computational approach to predict regulators of signaling from the integrative analysis of genomic and proteomic pan-cancer datasets. Among the predictions, we identified ARHGEF17 to be a regulator of hippo-signaling and performed (phospho)proteomics analysis to test these predictions.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Breast Epithelium, Cell Culture

DISEASE(S): Breast Cancer

SUBMITTER: Danish Memon  

LAB HEAD: Pedro Beltrao

PROVIDER: PXD021031 | Pride | 2021-04-06

REPOSITORIES: Pride