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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/214130
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dc.contributor.authorChaffin, Mark D.-
dc.contributor.authorCao, Liu-
dc.contributor.authorSeik, Amy A.-
dc.contributor.authorClish, Clary B.-
dc.contributor.authorHu, Frank B.-
dc.contributor.authorMartínez-García, Miguel Ángel-
dc.contributor.authorRazquin, Cristina-
dc.contributor.authorBulló, Mònica-
dc.contributor.authorCorella, Dolores-
dc.contributor.authorGómez-Gracia, Enrique-
dc.contributor.authorFiol, Miquel-
dc.contributor.authorEstruch, Ramón-
dc.contributor.authorLapetra, José-
dc.contributor.authorFitó, Montserrat-
dc.contributor.authorArós, Fernando-
dc.contributor.authorSerra-Majem, Lluis-
dc.contributor.authorRos, Emilio-
dc.contributor.authorLiang, Liming-
dc.date.accessioned2020-06-11T11:52:49Z-
dc.date.available2020-06-11T11:52:49Z-
dc.date.issued2019-
dc.identifierdoi: 10.1021/acs.jproteome.8b00893-
dc.identifierissn: 1535-3893-
dc.identifiere-issn: 1535-3907-
dc.identifier.citationJournal of Proteome Research 18(3): 1446-1450 (2019)-
dc.identifier.urihttp://hdl.handle.net/10261/214130-
dc.description.abstractHigh-throughput metabolomics using liquid chromatography and mass spectrometry (LC/MS) provides a useful method to identify biomarkers of disease and explore biological systems. However, the majority of metabolic features detected from untargeted metabolomics experiments have unknown ion signatures, making it critical that data should be thoroughly quality controlled to avoid analyzing false signals. Here, we present a postalignment method relying on intermittent pooled study samples to separate genuine metabolic features from potential measurement artifacts. We apply the method to lipid metabolite data from the PREDIMED (PREvención con DIeta MEDi-terránea) study to demonstrate clear removal of measurement artifacts. The method is publicly available as the R package MetProc, available on CRAN under the GPL-v2 license.-
dc.description.sponsorshipThis work was supported by NIH research Grant HL118264. The PREDIMED trial was supported by the official funding agency for biomedical research of the Spanish government, Instituto de Salud Carlos III (ISCIII), through grants provided to research networks specifically developed for the trial (RTIC G03/140 to R.E.; RTIC RD 06/0045 to M.A.M.-G.; and through Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición [CIBEROBN]), and by grants from Centro Nacional de Investigaciones Cardiovasculares (CNIC 06/2007), Fondo de Investigación Sanitaria–Fondo Europeo de Desarrollo Regional (PI04-2239, PI 05/2584, CP06/00100, PI07/0240, PI07/1138, PI07/0954, PI 07/0473, PI10/01407, PI10/02658, PI11/01647, P11/02505, PI13/00462, and PI13/01090), Ministerio de Ciencia e Innovación (AGL-2009-13906-C02 and AGL2010-22319-C03), Fundación Mapfre 2010, Consejería de Salud de la Junta de Andalucía (PI0105/2007), Public Health Division of the Department of Health of the Autonomous Government of Catalonia, Generalitat Valenciana (ACOMP06109, GVA-COMP2010-181, GVACOMP2011-151, CS2010-AP-111, and CS2011-AP-042), and Regional Government of Navarra (P27/2011).-
dc.languageeng-
dc.publisherAmerican Chemical Society-
dc.rightsclosedAccess-
dc.subjectUntargeted metabolomics-
dc.subjectMeasurement artifact-
dc.subjectMissing pattern-
dc.subjectPooled QC sample-
dc.titleMetProc: Separating Measurement Artifacts from True Metabolites in an Untargeted Metabolomics Experiment-
dc.typeartículo-
dc.identifier.doi10.1021/acs.jproteome.8b00893-
dc.relation.publisherversionhttp://dx.doi.org/10.1021/acs.jproteome.8b00893-
dc.date.updated2020-06-11T11:52:49Z-
dc.contributor.funderNational Institutes of Health (US)-
dc.contributor.funderInstituto de Salud Carlos III-
dc.contributor.funderCentro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (España)-
dc.contributor.funderRed Temática de Investigación Cooperativa en Cáncer (España)-
dc.contributor.funderCentro Nacional de Investigaciones Cardiovasculares (España)-
dc.contributor.funderEuropean Commission-
dc.contributor.funderFundación Mapfre-
dc.contributor.funderJunta de Andalucía-
dc.contributor.funderGeneralitat de Catalunya-
dc.contributor.funderGeneralitat Valenciana-
dc.contributor.funderNafarroako Gobernua-
dc.relation.csicSí-
dc.identifier.funderhttp://dx.doi.org/10.13039/100000002es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004587es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100005884es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003359es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003350es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100002809es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011011es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeartículo-
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