Deciphering MET‐dependent modulation of global cellular responses to DNA damage by quantitative phosphoproteomics


Loading...

Date

2020-06

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

Increasing evidence suggests that interference with growth factor receptor tyrosine kinase (RTK) signaling can affect DNA damage response (DDR) networks, with a consequent impact on cellular responses to DNA‐damaging agents widely used in cancer treatment. In that respect, the MET RTK is deregulated in abundance and/or activity in a variety of human tumors. Using two proteomic techniques, we explored how disrupting MET signaling modulates global cellular phosphorylation response to ionizing radiation (IR). Following an immunoaffinity‐based phosphoproteomic discovery survey, we selected candidate phosphorylation sites for extensive characterization by targeted proteomics focusing on phosphorylation sites in both signaling networks. Several substrates of the DDR were confirmed to be modulated by sequential MET inhibition and IR, or MET inhibition alone. Upon combined treatment, for two substrates, NUMA1 S395 and CHEK1 S345, the gain and loss of phosphorylation, respectively, were recapitulated using invivo tumor models by immunohistochemistry, with possible utility in future translational research. Overall, we have corroborated phosphorylation sites at the intersection between MET and the DDR signaling networks, and suggest that these represent a class of proteins at the interface between oncogene‐driven proliferation and genomic stability.

Publication status

published

Editor

Book title

Volume

14 (6)

Pages / Article No.

1185 - 1206

Publisher

Wiley

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

ATM; DNA damage response; ionizing radiation; mass spectrometry; MET; receptor tyrosine kinase

Organisational unit

03663 - Aebersold, Rudolf (emeritus) / Aebersold, Rudolf (emeritus) check_circle

Notes

Funding

147086 - A Technology and Platform for Plasma Protein Biomarker Validation with Applications to Cancer (SNF)
166435 - MitoModules: Biomarkers in context (SNF)

Related publications and datasets