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New insights into functional regulation in MS-based drug profiling

dc.contributor.authorCarvalho, A.S.
dc.contributor.authorMolina, H.
dc.contributor.authorMatthiesen, Rune
dc.date.accessioned2016-05-24T16:33:03Z
dc.date.available2016-05-24T16:33:03Z
dc.date.issued2016-01-08
dc.description.abstractWe 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.pt_PT
dc.description.sponsorshipWe thank Dr. Fridtjof Lund-Johansen for critical comments on the manuscript text. The Proteomics Resource Center at The Rockefeller University acknowledges funding from the Leona M. and Harry B. Helmsley Charitable Trust for mass spectrometer instrumentation. Cost of all experiments including MS analysis were supported by the Portuguese Foundation for Science and Technology (EXPL/DTP-PIC/0616/2013). R.M. is supported FCT investigator program 2012. A.S.C. is supported by the Portuguese Foundation for Science and Technology (FCT), financed by the European Social Funds (COMPETE-FEDER) and national funds of the Portuguese Ministry of Education and Science (POPH-QREN) fellowship SFRH/85569/2012.pt_PT
dc.identifier.citationSci Rep. 2016 Jan 8;6:18826. doi: 10.1038/srep18826pt_PT
dc.identifier.doidoi: 10.1038/srep18826.pt_PT
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.18/3818
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNature Publishing Grouppt_PT
dc.relationIdentificação global por Espectrometria de Massa de aspirados bronquiais: visando modificações específicas do cancro do pulmão.
dc.relation.publisherversionhttp://www.nature.com/articles/srep18826pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectLC-MSpt_PT
dc.subjectProteomicspt_PT
dc.subjectBiochemistrypt_PT
dc.subjectCell Biologypt_PT
dc.subjectCancerpt_PT
dc.subjectComputational biology and bioinformaticspt_PT
dc.subjectChromatography–mass Spectrometrypt_PT
dc.subjectGenomica Funcionalpt_PT
dc.subjectGenómica Funcional e Estruturalpt_PT
dc.titleNew insights into functional regulation in MS-based drug profilingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleIdentificação global por Espectrometria de Massa de aspirados bronquiais: visando modificações específicas do cancro do pulmão.
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FDTP-PIC%2F0616%2F2013/PT
oaire.citation.endPage11pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleScientific Reportspt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicatione580f746-a5e9-4b40-90b8-99c2f308c44a
relation.isProjectOfPublication.latestForDiscoverye580f746-a5e9-4b40-90b8-99c2f308c44a

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