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

Harvard

Franciosa, G, Locard-Paulet, M, Jensen, LJ & Olsen, JV 2023, 'Recent advances in kinase signaling network profiling by mass spectrometry', Current Opinion in Chemical Biology, vol. 73, 102260. https://doi.org/10.1016/j.cbpa.2022.102260

APA

Franciosa, G., Locard-Paulet, M., Jensen, L. J., & Olsen, J. V. (2023). Recent advances in kinase signaling network profiling by mass spectrometry. Current Opinion in Chemical Biology, 73, [102260]. https://doi.org/10.1016/j.cbpa.2022.102260

Vancouver

Franciosa G, Locard-Paulet M, Jensen LJ, Olsen JV. Recent advances in kinase signaling network profiling by mass spectrometry. Current Opinion in Chemical Biology. 2023;73. 102260. https://doi.org/10.1016/j.cbpa.2022.102260

Author

Franciosa, Giulia ; Locard-Paulet, Marie ; Jensen, Lars J ; Olsen, Jesper V. / Recent advances in kinase signaling network profiling by mass spectrometry. In: Current Opinion in Chemical Biology. 2023 ; Vol. 73.

Bibtex

@article{0ddc432c0f0649fa844bb25fc03d5e88,
title = "Recent advances in kinase signaling network profiling by mass spectrometry",
abstract = "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.",
author = "Giulia Franciosa and Marie Locard-Paulet and Jensen, {Lars J} and Olsen, {Jesper V}",
note = "Copyright {\textcopyright} 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.",
year = "2023",
doi = "10.1016/j.cbpa.2022.102260",
language = "English",
volume = "73",
journal = "Current Opinion in Chemical Biology",
issn = "1367-5931",
publisher = "Elsevier Ltd. * Current Opinion Journals",

}

RIS

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