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Implementation of Clinical Phosphoproteomics and Proteomics for Personalized Medicine. | LitMetric

Implementation of Clinical Phosphoproteomics and Proteomics for Personalized Medicine.

Methods Mol Biol

Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK.

Published: January 2022

AI Article Synopsis

Article Abstract

The identification of biomarkers for companion diagnostics is revolutionizing the development of treatments tailored to individual patients in different disease areas including cancer. Precision medicine is most frequently based on the detection of genomic markers that correlate with the efficacy of selected targeted therapies. However, since nongenetic mechanisms also contribute to disease biology, there is a considerable interest of using proteomic techniques as additional source of biomarkers to personalize therapies. In this chapter, we describe label-free mass spectrometry methods for proteomic and phosphoproteomic analysis compatible with routine analysis of clinical samples. We also outline bioinformatic pipelines based on statistical learning that use these proteomics datasets as input to quantify kinase activities and predict drug responses in cancer cells.

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Source
http://dx.doi.org/10.1007/978-1-0716-1936-0_8DOI Listing

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