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Analysis of the Human Kinome and Phosphatome by Mass Cytometry Reveals Overexpression-Induced Effects on Cancer-Related Signaling

Lun, Xiao-Kang; Szklarczyk, Damian; Gábor, Attila; Dobberstein, Nadine; Zanotelli, Vito R T; Saez-Rodriguez, Julio; von Mering, Christian; Bodenmiller, Bernd (2019). Analysis of the Human Kinome and Phosphatome by Mass Cytometry Reveals Overexpression-Induced Effects on Cancer-Related Signaling. Molecular Cell, 74(5):1086-1102.e5.

Abstract

Kinase and phosphatase overexpression drives tumorigenesis and drug resistance. We previously developed a mass-cytometry-based single-cell proteomics approach that enables quantitative assessment of overexpression effects on cell signaling. Here, we applied this approach in a human kinome- and phosphatome-wide study to assess how 649 individually overexpressed proteins modulated cancer-related signaling in HEK293T cells in an abundance-dependent manner. Based on these data, we expanded the functional classification of human kinases and phosphatases and showed that the overexpression effects include non-catalytic roles. We detected 208 previously unreported signaling relationships. The signaling dynamics analysis indicated that the overexpression of ERK-specific phosphatases sustains proliferative signaling. This suggests a phosphatase-driven mechanism of cancer progression. Moreover, our analysis revealed a drug-resistant mechanism through which overexpression of tyrosine kinases, including SRC, FES, YES1, and BLK, induced MEK-independent ERK activation in melanoma A375 cells. These proteins could predict drug sensitivity to BRAF-MEK concurrent inhibition in cells carrying BRAF mutations.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
07 Faculty of Science > Department of Quantitative Biomedicine
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Life Sciences > Molecular Biology
Life Sciences > Cell Biology
Uncontrolled Keywords:Cell Biology, Molecular Biology
Language:English
Date:1 June 2019
Deposited On:07 Feb 2020 10:41
Last Modified:05 Sep 2024 03:31
Publisher:Cell Press (Elsevier)
ISSN:1097-2765
OA Status:Hybrid
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.molcel.2019.04.021
PubMed ID:31101498
Project Information:
  • Funder: FP7
  • Grant ID: 336921
  • Project Title: SIGNALING 3D - Three Dimensional Single Cell Analysis of the Cancer Stem Cell Inducing Epithelial-Mesenchymal Transition Signaling Networks in Breast Cancer by Mass Cytometry
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  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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