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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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. |
format | Online Article Text |
id | pubmed-5431558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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