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Expression proteomics study to determine metallodrug targets and optimal drug combinations

The emerging technique termed functional identification of target by expression proteomics (FITExP) has been shown to identify the key protein targets of anti-cancer drugs. Here, we use this approach to elucidate the proteins involved in the mechanism of action of two ruthenium(II)-based anti-cancer...

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Autores principales: Lee, Ronald F. S., Chernobrovkin, Alexey, Rutishauser, Dorothea, Allardyce, Claire S., Hacker, David, Johnsson, Kai, Zubarev, Roman A., Dyson, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431558/
https://www.ncbi.nlm.nih.gov/pubmed/28484215
http://dx.doi.org/10.1038/s41598-017-01643-1
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author Lee, Ronald F. S.
Chernobrovkin, Alexey
Rutishauser, Dorothea
Allardyce, Claire S.
Hacker, David
Johnsson, Kai
Zubarev, Roman A.
Dyson, Paul J.
author_facet Lee, Ronald F. S.
Chernobrovkin, Alexey
Rutishauser, Dorothea
Allardyce, Claire S.
Hacker, David
Johnsson, Kai
Zubarev, Roman A.
Dyson, Paul J.
author_sort Lee, Ronald F. S.
collection PubMed
description The emerging technique termed functional identification of target by expression proteomics (FITExP) has been shown to identify the key protein targets of anti-cancer drugs. Here, we use this approach to elucidate the proteins involved in the mechanism of action of two ruthenium(II)-based anti-cancer compounds, RAPTA-T and RAPTA-EA in breast cancer cells, revealing significant differences in the proteins upregulated. RAPTA-T causes upregulation of multiple proteins suggesting a broad mechanism of action involving suppression of both metastasis and tumorigenicity. RAPTA-EA bearing a GST inhibiting ethacrynic acid moiety, causes upregulation of mainly oxidative stress related proteins. The approach used in this work could be applied to the prediction of effective drug combinations to test in cancer chemotherapy clinical trials.
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spelling pubmed-54315582017-05-16 Expression proteomics study to determine metallodrug targets and optimal drug combinations Lee, Ronald F. S. Chernobrovkin, Alexey Rutishauser, Dorothea Allardyce, Claire S. Hacker, David Johnsson, Kai Zubarev, Roman A. Dyson, Paul J. Sci Rep Article The emerging technique termed functional identification of target by expression proteomics (FITExP) has been shown to identify the key protein targets of anti-cancer drugs. Here, we use this approach to elucidate the proteins involved in the mechanism of action of two ruthenium(II)-based anti-cancer compounds, RAPTA-T and RAPTA-EA in breast cancer cells, revealing significant differences in the proteins upregulated. RAPTA-T causes upregulation of multiple proteins suggesting a broad mechanism of action involving suppression of both metastasis and tumorigenicity. RAPTA-EA bearing a GST inhibiting ethacrynic acid moiety, causes upregulation of mainly oxidative stress related proteins. The approach used in this work could be applied to the prediction of effective drug combinations to test in cancer chemotherapy clinical trials. Nature Publishing Group UK 2017-05-08 /pmc/articles/PMC5431558/ /pubmed/28484215 http://dx.doi.org/10.1038/s41598-017-01643-1 Text en © The Author(s) 2017 Open Access 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lee, Ronald F. S.
Chernobrovkin, Alexey
Rutishauser, Dorothea
Allardyce, Claire S.
Hacker, David
Johnsson, Kai
Zubarev, Roman A.
Dyson, Paul J.
Expression proteomics study to determine metallodrug targets and optimal drug combinations
title Expression proteomics study to determine metallodrug targets and optimal drug combinations
title_full Expression proteomics study to determine metallodrug targets and optimal drug combinations
title_fullStr Expression proteomics study to determine metallodrug targets and optimal drug combinations
title_full_unstemmed Expression proteomics study to determine metallodrug targets and optimal drug combinations
title_short Expression proteomics study to determine metallodrug targets and optimal drug combinations
title_sort expression proteomics study to determine metallodrug targets and optimal drug combinations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431558/
https://www.ncbi.nlm.nih.gov/pubmed/28484215
http://dx.doi.org/10.1038/s41598-017-01643-1
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