Proteomics

Dataset Information

0

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): Orbitrap Fusion Lumos, Q Exactive HF

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

Dataset's files

Source:
Action DRS
110718_PR996_MIG_set_1_P_01.raw Raw
110718_PR996_MIG_set_1_P_02.raw Raw
110718_PR996_MIG_set_1_P_03.raw Raw
110718_PR996_MIG_set_1_P_04.raw Raw
110718_PR996_MIG_set_1_P_05.raw Raw
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