Autor según el artículo: Chaffin, Mark D; Cao, Liu; Deik, Amy A; Clish, Clary B; Hu, Frank B; Martinez-Gonzalez, Miguel A; Razquin, Cristina; Bullo, Monica; Corella, Dolores; Gomez-Gracia, Enrique; Fiol, Miguel; Estruch, Ramon; Lapetra, Jose; Fito, Montserrat; Aros, Fernando; Serra-Majem, Lluis; Ros, Emilio; Liang, Liming
Departamento: Bioquímica i Biotecnologia
Autor/es de la URV: Bulló Bonet, Mònica
Palabras clave: Untargeted metabolomics Pooled qc sample Missing pattern Measurement artifact Large-scale Design Cardiovascular-disease pooled qc sample missing pattern measurement artifact
Resumen: Copyright © 2018 American Chemical Society. High-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.
Áreas temáticas: Química Odontología Medicina veterinaria Medicina ii Medicina i Interdisciplinar General chemistry Farmacia Engenharias iii Engenharias ii Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry (miscellaneous) Chemistry (all) Biotecnología Biodiversidade Biochemistry Biochemical research methods Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 15353893
Direcció de correo del autor: monica.bullo@urv.cat
Identificador del autor: 0000-0002-0218-7046
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://pubs.acs.org/doi/10.1021/acs.jproteome.8b00893#
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Proteome Research. 18 (3): 1446-1450
Referencia de l'ítem segons les normes APA: Chaffin, Mark D; Cao, Liu; Deik, Amy A; Clish, Clary B; Hu, Frank B; Martinez-Gonzalez, Miguel A; Razquin, Cristina; Bullo, Monica; Corella, Dolores; (2019). MetProc: Separating Measurement Artifacts from True Metabolites in an Untargeted Metabolomics Experiment. Journal Of Proteome Research, 18(3), 1446-1450. DOI: 10.1021/acs.jproteome.8b00893
DOI del artículo: 10.1021/acs.jproteome.8b00893
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2019
Tipo de publicación: Journal Publications