Deep phosphoproteomic analaysis of the response to EGF in HEK293 cells
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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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