Proteomics

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Deep phosphoproteomic analaysis of the response to EGF in HEK293 cells


ABSTRACT: In this study, we adopt the perspective of a naive researcher with the goal of learning a new signaling pathway, starting from differential phosphoproteomic data and a kinase-substrate network. Focusing on the well-characterized epidermal growth factor (EGF) response, we perform a meta-analysis of recent studies and complement those with three deep and time-resolved phosphoproteomic experiments. We also combine multiple kinase-substrate networks using protein language models and data from peptide-array screenings, generating a state-of-the-art resource. We use these datasets and networks to generate context-specific signaling subnetworks through various computational approaches, and compare the results to different sets of ground truth interactions.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Kidney

SUBMITTER: Martin Garrido-Rodriguez  

LAB HEAD: Mikhail Savitski

PROVIDER: PXD056666 | Pride | 2026-02-05

REPOSITORIES: Pride

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