Recent advances in kinase signaling network profiling by mass spectrometry
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Recent advances in kinase signaling network profiling by mass spectrometry. / Franciosa, Giulia; Locard-Paulet, Marie; Jensen, Lars J; Olsen, Jesper V.
In: Current Opinion in Chemical Biology, Vol. 73, 102260, 2023.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - Recent advances in kinase signaling network profiling by mass spectrometry
AU - Franciosa, Giulia
AU - Locard-Paulet, Marie
AU - Jensen, Lars J
AU - Olsen, Jesper V
N1 - Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Mass spectrometry-based phosphoproteomics is currently the leading methodology for the study of global kinase signaling. The scientific community is continuously releasing technological improvements for sensitive and fast identification of phosphopeptides, and their accurate quantification. To interpret large-scale phosphoproteomics data, numerous bioinformatic resources are available that help understanding kinase network functional role in biological systems upon perturbation. Some of these resources are databases of phosphorylation sites, protein kinases and phosphatases; others are bioinformatic algorithms to infer kinase activity, predict phosphosite functional relevance and visualize kinase signaling networks. In this review, we present the latest experimental and bioinformatic tools to profile protein kinase signaling networks and provide examples of their application in biomedicine.
AB - Mass spectrometry-based phosphoproteomics is currently the leading methodology for the study of global kinase signaling. The scientific community is continuously releasing technological improvements for sensitive and fast identification of phosphopeptides, and their accurate quantification. To interpret large-scale phosphoproteomics data, numerous bioinformatic resources are available that help understanding kinase network functional role in biological systems upon perturbation. Some of these resources are databases of phosphorylation sites, protein kinases and phosphatases; others are bioinformatic algorithms to infer kinase activity, predict phosphosite functional relevance and visualize kinase signaling networks. In this review, we present the latest experimental and bioinformatic tools to profile protein kinase signaling networks and provide examples of their application in biomedicine.
U2 - 10.1016/j.cbpa.2022.102260
DO - 10.1016/j.cbpa.2022.102260
M3 - Review
C2 - 36657259
VL - 73
JO - Current Opinion in Chemical Biology
JF - Current Opinion in Chemical Biology
SN - 1367-5931
M1 - 102260
ER -
ID: 333470181