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New insights into functional regulation in MS-based drug profiling

We present a novel data analysis strategy which combined with subcellular fractionation and liquid chromatography–mass spectrometry (LC-MS) based proteomics provides a simple and effective workflow for global drug profiling. Five subcellular fractions were obtained by differential centrifugation fol...

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Detalles Bibliográficos
Autores principales: Carvalho, Ana Sofia, Molina, Henrik, Matthiesen, Rune
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705526/
https://www.ncbi.nlm.nih.gov/pubmed/26743025
http://dx.doi.org/10.1038/srep18826
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author Carvalho, Ana Sofia
Molina, Henrik
Matthiesen, Rune
author_facet Carvalho, Ana Sofia
Molina, Henrik
Matthiesen, Rune
author_sort Carvalho, Ana Sofia
collection PubMed
description We present a novel data analysis strategy which combined with subcellular fractionation and liquid chromatography–mass spectrometry (LC-MS) based proteomics provides a simple and effective workflow for global drug profiling. Five subcellular fractions were obtained by differential centrifugation followed by high resolution LC-MS and complete functional regulation analysis. The methodology combines functional regulation and enrichment analysis into a single visual summary. The workflow enables improved insight into perturbations caused by drugs. We provide a statistical argument to demonstrate that even crude subcellular fractions leads to improved functional characterization. We demonstrate this data analysis strategy on data obtained in a MS-based global drug profiling study. However, this strategy can also be performed on other types of large scale biological data.
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spelling pubmed-47055262016-01-20 New insights into functional regulation in MS-based drug profiling Carvalho, Ana Sofia Molina, Henrik Matthiesen, Rune Sci Rep Article We present a novel data analysis strategy which combined with subcellular fractionation and liquid chromatography–mass spectrometry (LC-MS) based proteomics provides a simple and effective workflow for global drug profiling. Five subcellular fractions were obtained by differential centrifugation followed by high resolution LC-MS and complete functional regulation analysis. The methodology combines functional regulation and enrichment analysis into a single visual summary. The workflow enables improved insight into perturbations caused by drugs. We provide a statistical argument to demonstrate that even crude subcellular fractions leads to improved functional characterization. We demonstrate this data analysis strategy on data obtained in a MS-based global drug profiling study. However, this strategy can also be performed on other types of large scale biological data. Nature Publishing Group 2016-01-08 /pmc/articles/PMC4705526/ /pubmed/26743025 http://dx.doi.org/10.1038/srep18826 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Carvalho, Ana Sofia
Molina, Henrik
Matthiesen, Rune
New insights into functional regulation in MS-based drug profiling
title New insights into functional regulation in MS-based drug profiling
title_full New insights into functional regulation in MS-based drug profiling
title_fullStr New insights into functional regulation in MS-based drug profiling
title_full_unstemmed New insights into functional regulation in MS-based drug profiling
title_short New insights into functional regulation in MS-based drug profiling
title_sort new insights into functional regulation in ms-based drug profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705526/
https://www.ncbi.nlm.nih.gov/pubmed/26743025
http://dx.doi.org/10.1038/srep18826
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