New insights into functional regulation in MS-based drug profiling
Main Author: | |
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Publication Date: | 2016 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.18/3818 |
Summary: | 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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New insights into functional regulation in MS-based drug profilingLC-MSProteomicsBiochemistryCell BiologyCancerComputational biology and bioinformaticsChromatography–mass SpectrometryGenomica FuncionalGenómica Funcional e EstruturalWe 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 GroupRepositório Científico do Instituto Nacional de SaúdeCarvalho, A.S.Molina, H.Matthiesen, Rune2016-05-24T16:33:03Z2016-01-082016-01-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/3818eng2045-2322doi: 10.1038/srep18826.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:18:47Zoai:repositorio.insa.pt:10400.18/3818Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:33:05.878617Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
New insights into functional regulation in MS-based drug profiling |
title |
New insights into functional regulation in MS-based drug profiling |
spellingShingle |
New insights into functional regulation in MS-based drug profiling Carvalho, A.S. LC-MS Proteomics Biochemistry Cell Biology Cancer Computational biology and bioinformatics Chromatography–mass Spectrometry Genomica Funcional Genómica Funcional e Estrutural |
title_short |
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_sort |
New insights into functional regulation in MS-based drug profiling |
author |
Carvalho, A.S. |
author_facet |
Carvalho, A.S. Molina, H. Matthiesen, Rune |
author_role |
author |
author2 |
Molina, H. Matthiesen, Rune |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Nacional de Saúde |
dc.contributor.author.fl_str_mv |
Carvalho, A.S. Molina, H. Matthiesen, Rune |
dc.subject.por.fl_str_mv |
LC-MS Proteomics Biochemistry Cell Biology Cancer Computational biology and bioinformatics Chromatography–mass Spectrometry Genomica Funcional Genómica Funcional e Estrutural |
topic |
LC-MS Proteomics Biochemistry Cell Biology Cancer Computational biology and bioinformatics Chromatography–mass Spectrometry Genomica Funcional Genómica Funcional e Estrutural |
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. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-05-24T16:33:03Z 2016-01-08 2016-01-08T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.18/3818 |
url |
http://hdl.handle.net/10400.18/3818 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 doi: 10.1038/srep18826. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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