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An original methodology for the selection of biomarkers of tenderness in five different muscles

hal.structure.identifierUnité Mixte de Recherche sur les Herbivores - UMR 1213 [UMRH]
dc.contributor.authorELLIES, Marie-Pierre
hal.structure.identifierInserm U1219, Population Health Research Center
dc.contributor.authorLORENZO, Hadrien
hal.structure.identifierService Qualite des Carcasses et des Viandes
dc.contributor.authorDENOYELLE, Christophe
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSARACCO, Jérôme
hal.structure.identifierUnité Mixte de Recherche sur les Herbivores - UMR 1213 [UMRH]
dc.contributor.authorPICARD, Brigitte
dc.date.accessioned2024-04-04T03:00:39Z
dc.date.available2024-04-04T03:00:39Z
dc.date.issued2019
dc.identifier.issn2304-8158
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192835
dc.description.abstractEnFor several years, studies conducted for discovering tenderness biomarkers have proposed a list of 20 candidates. The aim of the present work was to develop an innovative methodology to select the most predictive among this list. The relative abundance of the proteins was evaluated on five muscles of 10 Holstein cows: gluteobiceps, semimembranosus, semitendinosus, Triceps brachii and Vastus lateralis. To select the most predictive biomarkers, a multi-block model was used: The Data-Driven Sparse Partial Least Square. Semimembranosus and Vastus lateralis muscles tenderness could be well predicted (R2 = 0.95 and 0.94 respectively) with a total of 7 out of the 5 times 20 biomarkers analyzed. An original result is that the predictive proteins were the same for these two muscles: µ-calpain, m-calpain, h2afx and Hsp40 measured in m. gluteobiceps and µ-calpain, m-calpain and Hsp70-8 measured in m. Triceps brachii. Thus, this method is well adapted to this set of data, making it possible to propose robust candidate biomarkers of tenderness that need to be validated on a larger population.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectmodèle prédictif
dc.subjectbiomarqueur
dc.subjectviande
dc.subjectmuscle
dc.subjecttendrete de la viande
dc.subjectcalpaine
dc.subject.enh2afx
dc.subject.encalpain
dc.subject.enbiomarker
dc.subject.enpredictive model
dc.subject.entenderness
dc.subject.enmeat
dc.title.enAn original methodology for the selection of biomarkers of tenderness in five different muscles
dc.typeArticle de revue
dc.identifier.doi10.3390/foods8060206
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Alimentation et Nutrition
dc.subject.halStatistiques [stat]
bordeaux.journalFoods
bordeaux.page206
bordeaux.volume8
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue6
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02164157
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02164157v1
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