Stebbing, Justin and Zhang, Hua and Xu, Yichen and Arnhild, Grothey and Paul, Ajuh and Angelopoulos, Nicos and Giamas, Georgios (2015) Characterization of the Tyrosine Kinase-Regulated Proteome in Breast Cancer by Combined use of RNA interference (RNAi) and Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) Quantitative Proteomics. Molecular and Cellular Proteomics, 14 (9). pp. 2479-2492. DOI https://doi.org/10.1074/mcp.M115.048090
Stebbing, Justin and Zhang, Hua and Xu, Yichen and Arnhild, Grothey and Paul, Ajuh and Angelopoulos, Nicos and Giamas, Georgios (2015) Characterization of the Tyrosine Kinase-Regulated Proteome in Breast Cancer by Combined use of RNA interference (RNAi) and Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) Quantitative Proteomics. Molecular and Cellular Proteomics, 14 (9). pp. 2479-2492. DOI https://doi.org/10.1074/mcp.M115.048090
Stebbing, Justin and Zhang, Hua and Xu, Yichen and Arnhild, Grothey and Paul, Ajuh and Angelopoulos, Nicos and Giamas, Georgios (2015) Characterization of the Tyrosine Kinase-Regulated Proteome in Breast Cancer by Combined use of RNA interference (RNAi) and Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) Quantitative Proteomics. Molecular and Cellular Proteomics, 14 (9). pp. 2479-2492. DOI https://doi.org/10.1074/mcp.M115.048090
Abstract
Tyrosine kinases (TKs) are central regulators in cellular activities and perturbations of TK signaling contribute to oncogenesis. However, less than half of the TKs have been thoroughly studied and a global functional analysis of their proteomic portrait is lacking. Here we conducted a combined approach of RNA interference (RNAi) and stable isotope labeling with amino acids in cell culture (SILAC)-based quantitative proteomics to decode the TK-regulated proteome and associated signaling dynamics. As a result, a broad proteomic repertoire modulated by TKs was revealed, upon silencing of the 65 TKs expressed in MCF7 breast cancer cells. This yielded 10 new distinctive TK clusters according to similarity in TK-regulated proteome, each characterized by a unique signaling signature in contrast to previous classifications. We provide functional analyses and identify critical pathways for each cluster based on their common downstream targets. Analysis of different breast cancer subtypes showed distinct correlations of each cluster with clinical outcome. From the significantly up- and down-regulated proteins, we identified a number of markers of drug sensitivity and resistance. These data supports the role of TKs in regulating major aspects of cellular activity, but also reveals redundancy in signaling, explaining why kinase inhibitors alone often fail to achieve their clinical aims. The TK-SILACepedia provides a comprehensive resource for studying the global function of TKs in cancer.
Item Type: | Article |
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Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 23 Apr 2020 16:29 |
Last Modified: | 06 Jan 2022 14:00 |
URI: | http://repository.essex.ac.uk/id/eprint/27358 |
Available files
Filename: 2479.full.pdf
Licence: Creative Commons: Attribution 3.0