KOPI: kinase inhibitor proteome impact analysis

Kinase inhibitors often exert on/off-target effects, and efficient data analysis is essential for assessing these effects on the proteome. We developed a workflow for rapidly performing such a proteomic assessment, termed as kinase inhibitor proteome impact analysis (KOPI). We demonstrate KOPI'...

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Main Authors: Li, Ginny Xiaohe, Zhao, Tianyun, Wang, Loo Chien, Choi, Hyungwon, Lim, Yan Ting, Sobota, Radoslaw M.
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/171280
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1712802023-10-23T15:32:12Z KOPI: kinase inhibitor proteome impact analysis Li, Ginny Xiaohe Zhao, Tianyun Wang, Loo Chien Choi, Hyungwon Lim, Yan Ting Sobota, Radoslaw M. School of Biological Sciences Institute of Molecular and Cell Biology, A*STAR Science::Biological sciences Antineoplastic Agents Phosphorylation Kinase inhibitors often exert on/off-target effects, and efficient data analysis is essential for assessing these effects on the proteome. We developed a workflow for rapidly performing such a proteomic assessment, termed as kinase inhibitor proteome impact analysis (KOPI). We demonstrate KOPI's utility with staurosporine (STS) on the leukemic K562 cell proteome. We identified systematically staurosporine's non-kinome interactors, and showed for the first time that it caused paradoxical hyper- and biphasic phosphorylation. Agency for Science, Technology and Research (A*STAR) National Research Foundation (NRF) Published version This research was supported by A*STAR Core funding, Young Investigator Grant 2015 (YIG-2015) awarded to R.M.S by the Biomedical Research Council of the Agency for Science, Technology and Research (A*STAR). R.M.S is also supported by Singapore National Research Foundation under its NRF-SIS (NRF2017_SISFP08) “SingMass” share infrastructure scheme. 2023-10-20T02:50:44Z 2023-10-20T02:50:44Z 2022 Journal Article Li, G. X., Zhao, T., Wang, L. C., Choi, H., Lim, Y. T. & Sobota, R. M. (2022). KOPI: kinase inhibitor proteome impact analysis. Scientific Reports, 12(1), 13015-. https://dx.doi.org/10.1038/s41598-022-16557-w 2045-2322 https://hdl.handle.net/10356/171280 10.1038/s41598-022-16557-w 35906361 2-s2.0-85135173483 1 12 13015 en Scientific Reports © 2022 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Biological sciences
Antineoplastic Agents
Phosphorylation
spellingShingle Science::Biological sciences
Antineoplastic Agents
Phosphorylation
Li, Ginny Xiaohe
Zhao, Tianyun
Wang, Loo Chien
Choi, Hyungwon
Lim, Yan Ting
Sobota, Radoslaw M.
KOPI: kinase inhibitor proteome impact analysis
description Kinase inhibitors often exert on/off-target effects, and efficient data analysis is essential for assessing these effects on the proteome. We developed a workflow for rapidly performing such a proteomic assessment, termed as kinase inhibitor proteome impact analysis (KOPI). We demonstrate KOPI's utility with staurosporine (STS) on the leukemic K562 cell proteome. We identified systematically staurosporine's non-kinome interactors, and showed for the first time that it caused paradoxical hyper- and biphasic phosphorylation.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Li, Ginny Xiaohe
Zhao, Tianyun
Wang, Loo Chien
Choi, Hyungwon
Lim, Yan Ting
Sobota, Radoslaw M.
format Article
author Li, Ginny Xiaohe
Zhao, Tianyun
Wang, Loo Chien
Choi, Hyungwon
Lim, Yan Ting
Sobota, Radoslaw M.
author_sort Li, Ginny Xiaohe
title KOPI: kinase inhibitor proteome impact analysis
title_short KOPI: kinase inhibitor proteome impact analysis
title_full KOPI: kinase inhibitor proteome impact analysis
title_fullStr KOPI: kinase inhibitor proteome impact analysis
title_full_unstemmed KOPI: kinase inhibitor proteome impact analysis
title_sort kopi: kinase inhibitor proteome impact analysis
publishDate 2023
url https://hdl.handle.net/10356/171280
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