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Impact of phosphoproteomics in the translation of kinase‐targeted therapies
Author(s) -
Casado Pedro,
Hijazi Maruan,
Britton David,
Cutillas Pedro R.
Publication year - 2017
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201600235
Subject(s) - phosphoproteomics , kinase , computational biology , signal transduction , kinome , bioinformatics , biology , protein kinase a , microbiology and biotechnology , protein phosphorylation
Signaling pathways driven by protein and lipid kinases are altered in most human diseases. Therefore, pharmacological inhibitors of cell signaling are one of the most intensively pursued therapeutic approaches for the treatment of diseases such as cancer, neurodegeneration, and metabolic syndromes. Phosphoproteomics is a technique that measures the products of kinase activities and, with the appropriate bioinformatics techniques, the methodology can also provide measures of kinase pathway activation and network circuitry. Hence, due to recent technological advantages, LC‐MS‐based quantitative phosphoproteomics provides relevant information for the design and implementation of kinase inhibitor based therapies. Here, we review how phosphoproteome profiling is being used in translational research as a means to identify drug targets and biomarkers for personalizing therapies based on kinase inhibitors.