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Microarray and Mass Spectrometry-Based Methodology for Lipid Profiling of Tissues and Cell Cultures

dc.rights.licenseopenen_US
dc.contributor.authorFERNANDEZ, Roberto
dc.contributor.authorGARATE, Jone
dc.contributor.authorTOLENTINO-CORTEZ, Tarson
dc.contributor.authorHERRAIZ, Ainara
dc.contributor.authorLOMBARDERO, Laura
hal.structure.identifierNutrition et Neurobiologie intégrée [NutriNeuro]
dc.contributor.authorDUCROCQ, Fabien
dc.contributor.authorRODRIGUEZ-PUERTAS, Rafael
hal.structure.identifierNutrition et Neurobiologie intégrée [NutriNeuro]
dc.contributor.authorTRIFILIEFF, Pierre
dc.contributor.authorASTIGARRAGA, Egoitz
dc.contributor.authorBARREDA-GOMEZ, Gabriel
dc.contributor.authorFERNANDEZ, Jose A.
dc.date.accessioned2021-08-31T10:11:18Z
dc.date.available2021-08-31T10:11:18Z
dc.date.issued2019-12-17
dc.identifier.issn1520-6882en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/110265
dc.description.abstractEnThe recent developments in mass spectrometry have revealed the importance of lipids as biomarkers in the context of different diseases and as indicators of the cell's homeostasis. However, further advances are required to unveil the complex relationships between lipid classes and lipid species with proteins. Here, we present a new methodology that combines microarrays with mass spectrometry to obtain the lipid fingerprint of samples of a different nature in a standardized and fast way, with minimal sample consumption. As a proof of concept, we use the methodology to obtain the lipid fingerprint of 20 rat tissues and to create a lipid library for tissue classification. Then, we combine those results with immunohistochemistry and enzymatic assays to unveil the relationship between some lipid species and two enzymes. Finally, we demonstrate the performance of the methodology to explore changes in lipid composition of the nucleus accumbens from mice subjected to two lipid diets.
dc.description.sponsorshipImpact de la composition lipidique membranaire sur la transmission dopaminergique dépendante du récepteur D2 et la motivation - ANR-16-CE16-0022en_US
dc.language.isoENen_US
dc.subject.enAlgorithms
dc.subject.enLipids
dc.subject.enMicroarrays
dc.subject.enMembranes
dc.subject.enRodent models
dc.title.enMicroarray and Mass Spectrometry-Based Methodology for Lipid Profiling of Tissues and Cell Cultures
dc.typeArticle de revueen_US
dc.identifier.doi10.1021/acs.analchem.9b04529en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]en_US
dc.identifier.pubmed31751120en_US
bordeaux.journalAnalytical Chemistryen_US
bordeaux.page15967-15973en_US
bordeaux.volume91en_US
bordeaux.hal.laboratoriesNutriNeurO (Laboratoire de Nutrition et Neurobiologie Intégrée) - UMR 1286en_US
bordeaux.issue24en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINRAEen_US
bordeaux.teamPsychoneuroimmunologie et Nutrition: Approches expérimentales et cliniquesen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDUniversité de Bordeauxen_US
bordeaux.identifier.funderIDInstitut National de la Recherche Agronomiqueen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
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