Literature DB >> 22440028

Variations in the abundance of 24 protein biomarkers of beef tenderness according to muscle and animal type.

N Guillemin1, C Jurie, I Cassar-Malek, J-F Hocquette, G Renand, B Picard.   

Abstract

Some proteins have been revealed as biomarkers for beef tenderness by previous studies. These markers could be used in immunological tests to predict beef tenderness, in living animals as well as in carcasses. It is well known that rearing practices modify the amounts of mRNA and proteins. Therefore, the reliability of protein tests could be affected by livestock and biological effects such as production systems, breed, muscle and animal type. This study analysed the effects of animal and muscle type on 24 proteins. The animals studied were 67 young bulls and 44 steers of the Charolais breed, and muscles were Longissimus thoracis and Semitendinosus. Protein amounts were determined by Dot blot, an immunological technique. Results showed that expressions of 20 proteins were influenced by animal and/or muscle type. These results could lead to modifications and adaptations of prediction tests according to rearing practice, bovine breed and beef cut.

Entities:  

Year:  2011        PMID: 22440028     DOI: 10.1017/S1751731110002612

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  13 in total

Review 1.  The application of gene marker-assisted selection and proteomics for the best meat quality criteria and body measurements in Qinchuan cattle breed.

Authors:  Mohamed E Abd El-Hack; Sameh A Abdelnour; Ayman A Swelum; Muhammad Arif
Journal:  Mol Biol Rep       Date:  2018-07-13       Impact factor: 2.316

2.  The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction.

Authors:  Jean-Francois Hocquette; Carine Bernard-Capel; Veronique Vidal; Beline Jesson; Hubert Levéziel; Gilles Renand; Isabelle Cassar-Malek
Journal:  BMC Vet Res       Date:  2012-08-15       Impact factor: 2.741

3.  A network-based approach for predicting Hsp27 knock-out targets in mouse skeletal muscles.

Authors:  Malek Kammoun; Brigitte Picard; Joëlle Henry-Berger; Isabelle Cassar-Malek
Journal:  Comput Struct Biotechnol J       Date:  2013-08-14       Impact factor: 7.271

Review 4.  Animal board invited review: advances in proteomics for animal and food sciences.

Authors:  A M Almeida; A Bassols; E Bendixen; M Bhide; F Ceciliani; S Cristobal; P D Eckersall; K Hollung; F Lisacek; G Mazzucchelli; M McLaughlin; I Miller; J E Nally; J Plowman; J Renaut; P Rodrigues; P Roncada; J Staric; R Turk
Journal:  Animal       Date:  2014-10-31       Impact factor: 3.240

5.  Calcium Homeostasis and Muscle Energy Metabolism Are Modified in HspB1-Null Mice.

Authors:  Brigitte Picard; Malek Kammoun; Mohammed Gagaoua; Christiane Barboiron; Bruno Meunier; Christophe Chambon; Isabelle Cassar-Malek
Journal:  Proteomes       Date:  2016-05-04

6.  Differences in Beef Quality between Angus (Bos taurus taurus) and Nellore (Bos taurus indicus) Cattle through a Proteomic and Phosphoproteomic Approach.

Authors:  Rafael Torres de Souza Rodrigues; Mario Luiz Chizzotti; Camilo Elber Vital; Maria Cristina Baracat-Pereira; Edvaldo Barros; Karina Costa Busato; Rafael Aparecido Gomes; Márcio Machado Ladeira; Taiane da Silva Martins
Journal:  PLoS One       Date:  2017-01-19       Impact factor: 3.240

Review 7.  Expression Marker-Based Strategy to Improve Beef Quality.

Authors:  Isabelle Cassar-Malek; Brigitte Picard
Journal:  ScientificWorldJournal       Date:  2016-03-15

8.  Does growth path influence beef lipid deposition and fatty acid composition?

Authors:  Ana S H Costa; Paulo Costa; Susana P Alves; Cristina M Alfaia; José A M Prates; Veronica Vleck; Isabelle Cassar-Malek; Jean-François Hocquette; Rui J B Bessa
Journal:  PLoS One       Date:  2018-04-03       Impact factor: 3.240

9.  Beef tenderness and intramuscular fat proteomic biomarkers: muscle type effect.

Authors:  Brigitte Picard; Mohammed Gagaoua; Marwa Al-Jammas; Leanne De Koning; Albéric Valais; Muriel Bonnet
Journal:  PeerJ       Date:  2018-06-07       Impact factor: 2.984

10.  Gene Co-expression Analysis Indicates Potential Pathways and Regulators of Beef Tenderness in Nellore Cattle.

Authors:  Tássia Mangetti Gonçalves; Luciana Correia de Almeida Regitano; James E Koltes; Aline Silva Mello Cesar; Sónia Cristina da Silva Andrade; Gerson Barreto Mourão; Gustavo Gasparin; Gabriel Costa Monteiro Moreira; Elyn Fritz-Waters; James M Reecy; Luiz Lehmann Coutinho
Journal:  Front Genet       Date:  2018-10-05       Impact factor: 4.599

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