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A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls

Beef tenderness is of central importance in determining consumers’ overall liking. To better understand the underlying mechanisms of tenderness and be able to predict it, this study aimed to apply a proteomics approach on the Longissimus thoracis (LT) muscle of young Limousin-sired bulls to identify...

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Autores principales: Zhu, Yao, Gagaoua, Mohammed, Mullen, Anne Maria, Kelly, Alan L., Sweeney, Torres, Cafferky, Jamie, Viala, Didier, Hamill, Ruth M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145402/
https://www.ncbi.nlm.nih.gov/pubmed/33925360
http://dx.doi.org/10.3390/foods10050952
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author Zhu, Yao
Gagaoua, Mohammed
Mullen, Anne Maria
Kelly, Alan L.
Sweeney, Torres
Cafferky, Jamie
Viala, Didier
Hamill, Ruth M.
author_facet Zhu, Yao
Gagaoua, Mohammed
Mullen, Anne Maria
Kelly, Alan L.
Sweeney, Torres
Cafferky, Jamie
Viala, Didier
Hamill, Ruth M.
author_sort Zhu, Yao
collection PubMed
description Beef tenderness is of central importance in determining consumers’ overall liking. To better understand the underlying mechanisms of tenderness and be able to predict it, this study aimed to apply a proteomics approach on the Longissimus thoracis (LT) muscle of young Limousin-sired bulls to identify candidate protein biomarkers. A total of 34 proteins showed differential abundance between the tender and tough groups. These proteins belong to biological pathways related to muscle structure, energy metabolism, heat shock proteins, response to oxidative stress, and apoptosis. Twenty-three putative protein biomarkers or their isoforms had previously been identified as beef tenderness biomarkers, while eleven were novel. Using regression analysis to predict shear force values, MYOZ3 (Myozenin 3), BIN1 (Bridging Integrator-1), and OGN (Mimecan) were the major proteins retained in the regression model, together explaining 79% of the variability. The results of this study confirmed the existing knowledge but also offered new insights enriching the previous biomarkers of tenderness proposed for Longissimus muscle.
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spelling pubmed-81454022021-05-26 A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls Zhu, Yao Gagaoua, Mohammed Mullen, Anne Maria Kelly, Alan L. Sweeney, Torres Cafferky, Jamie Viala, Didier Hamill, Ruth M. Foods Article Beef tenderness is of central importance in determining consumers’ overall liking. To better understand the underlying mechanisms of tenderness and be able to predict it, this study aimed to apply a proteomics approach on the Longissimus thoracis (LT) muscle of young Limousin-sired bulls to identify candidate protein biomarkers. A total of 34 proteins showed differential abundance between the tender and tough groups. These proteins belong to biological pathways related to muscle structure, energy metabolism, heat shock proteins, response to oxidative stress, and apoptosis. Twenty-three putative protein biomarkers or their isoforms had previously been identified as beef tenderness biomarkers, while eleven were novel. Using regression analysis to predict shear force values, MYOZ3 (Myozenin 3), BIN1 (Bridging Integrator-1), and OGN (Mimecan) were the major proteins retained in the regression model, together explaining 79% of the variability. The results of this study confirmed the existing knowledge but also offered new insights enriching the previous biomarkers of tenderness proposed for Longissimus muscle. MDPI 2021-04-27 /pmc/articles/PMC8145402/ /pubmed/33925360 http://dx.doi.org/10.3390/foods10050952 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhu, Yao
Gagaoua, Mohammed
Mullen, Anne Maria
Kelly, Alan L.
Sweeney, Torres
Cafferky, Jamie
Viala, Didier
Hamill, Ruth M.
A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
title A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
title_full A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
title_fullStr A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
title_full_unstemmed A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
title_short A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
title_sort proteomic study for the discovery of beef tenderness biomarkers and prediction of warner–bratzler shear force measured on longissimus thoracis muscles of young limousin-sired bulls
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145402/
https://www.ncbi.nlm.nih.gov/pubmed/33925360
http://dx.doi.org/10.3390/foods10050952
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