Quantification of biomarkers for beef meat qualities using a combination of Parallel Reaction Monitoring- and antibody-based proteomics.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
01 Jul 2020
Historique:
received: 27 09 2019
revised: 31 01 2020
accepted: 08 02 2020
pubmed: 23 2 2020
medline: 20 5 2020
entrez: 21 2 2020
Statut: ppublish

Résumé

We and others have identified biomarker candidates of tenderness or marbling, two major attributes of bovine meat-eating qualities for consumers' satisfaction. In this study, Reverse Phase Protein Arrays (RPPA) and targeted mass spectrometry assays using Parallel Reaction Monitoring (PRM) were developed to test whether 10 proteins pass the sequential qualification and verification steps of the challenging biomarker discovery pipeline. At least MYH1, TPI1, ALDH1A1 and CRYAB were qualified by RPPA or PRM as being differentially abundant according to marbling values of longissimus thoracis and semimembranosus muscles. Significant mathematical relationships between the individual abundance of each of the four proteins and marbling values were verified by linear or logistic regressions. Four proteins, TNNT1, MDH1, PRDX6 and ENO3 were qualified and verified for tenderness, and the abundance of MDH1 explained 49% of the tenderness variability. The present PRM and RPPA results pave the way for development of useful meat industrial multiplex-proteins assays.

Identifiants

pubmed: 32078991
pii: S0308-8146(20)30234-X
doi: 10.1016/j.foodchem.2020.126376
pii:
doi:

Substances chimiques

Antibodies 0
Biomarkers 0
Aldehyde Dehydrogenase 1 Family EC 1.2.1
Myosin Heavy Chains EC 3.6.4.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126376

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Muriel Bonnet (M)

INRAE, Université Clermont Auvergne, Vetagro Sup, UMRH, 63122 Saint-Genès-Champanelle, France. Electronic address: muriel.bonnet@inrae.fr.

Julien Soulat (J)

INRAE, Université Clermont Auvergne, Vetagro Sup, UMRH, 63122 Saint-Genès-Champanelle, France. Electronic address: julien.soulat@inrae.fr.

Joanna Bons (J)

Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC UMR 7178, CNRS, Université de Strasbourg, 67000 Strasbourg, France. Electronic address: joanna.bons@etu.unistra.fr.

Stéphanie Léger (S)

Université de Clermont Auvergne, Université Blaise Pascal, Laboratoire de Mathématiques, BP 10448, F-63000 Clermont-Ferrand, France; CNRS, UMR 6620, Laboratoire de Mathématiques, F-63171 Aubière, France. Electronic address: Stephanie.Leger@math.univ-bpclermont.fr.

Leanne De Koning (L)

Institut Curie centre de recherche, Université de recherche PSL Plateforme RPPA, 26 rue de l'Ulm, 75248 Paris, France. Electronic address: leanne.de-koning@curie.fr.

Christine Carapito (C)

Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC UMR 7178, CNRS, Université de Strasbourg, 67000 Strasbourg, France. Electronic address: ccarapito@unistra.fr.

Brigitte Picard (B)

INRAE, Université Clermont Auvergne, Vetagro Sup, UMRH, 63122 Saint-Genès-Champanelle, France. Electronic address: brigitte.picard@inrae.fr.

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Classifications MeSH