Oncogenic Mutations Rewire Signaling Pathways by Switching Protein Recruitment to Phosphotyrosine Sites
Author(s) -
Alicia Lundby,
Giulia Franciosa,
Kristina B. Emdal,
Jan C. Refsgaard,
Sebastian Gnosa,
Dorte B. BekkerJensen,
Anna Secher,
Svetlana Maurya,
Indranil Paul,
Blanca López Méndez,
Christian D. Kelstrup,
Chiara Francavilla,
Marie Kveiborg,
Guillermo Montoya,
Lars Juhl Jensen,
Jesper V. Olsen
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.09.008
Subject(s) - biology , phosphorylation , proteomics , signal transduction , microbiology and biotechnology , phosphoproteomics , cell signaling , tyrosine phosphorylation , stable isotope labeling by amino acids in cell culture , tyrosine , computational biology , genetics , protein phosphorylation , biochemistry , gene , protein kinase a
Tyrosine phosphorylation regulates multi-layered signaling networks with broad implications in (patho)physiology, but high-throughput methods for functional annotation of phosphotyrosine sites are lacking. To decipher phosphotyrosine signaling directly in tissue samples, we developed a mass-spectrometry-based interaction proteomics approach. We measured the in vivo EGF-dependent signaling network in lung tissue quantifying >1,000 phosphotyrosine sites. To assign function to all EGF-regulated sites, we determined their recruited protein signaling complexes in lung tissue by interaction proteomics. We demonstrated how mutations near tyrosine residues introduce molecular switches that rewire cancer signaling networks, and we revealed oncogenic properties of such a lung cancer EGFR mutant. To demonstrate the scalability of the approach, we performed >1,000 phosphopeptide pulldowns and analyzed them by rapid mass spectrometric analysis, revealing tissue-specific differences in interactors. Our approach is a general strategy for functional annotation of phosphorylation sites in tissues, enabling in-depth mechanistic insights into oncogenic rewiring of signaling networks.
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