Literature DB >> 21855665

Functional analysis of beef tenderness.

Nicolas Guillemin1, Muriel Bonnet, Catherine Jurie, Brigitte Picard.   

Abstract

Meat tenderness represents a complex assembly of different cellular pathways. As a consequence, genomics studies have revealed many different proteins considered as tenderness markers. So it is difficult to have an overview of tenderness in terms of cellular pathways. In this work cellular pathways of tenderness were analyzed, an interactome of 330 proteins was designed, and explanations of tenderization processes were proposed.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID： 21855665     DOI： 10.1016/j.jprot.2011.07.026

Source DB:  PubMed          Journal:  J Proteomics        ISSN： 1874-3919            Impact factor:   4.044


  18 in total

1.  Tandem mass tag labeling to assess proteome differences between intermediate and very tender beef steaks.

Authors:  David S Dang; Chaoyu Zhai; Mahesh N Nair; Kara J Thornton; Mohammed N Sawalhah; Sulaiman K Matarneh
Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

2.  ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.

Authors:  Nicolas Kaspric; Brigitte Picard; Matthieu Reichstadt; Jérémy Tournayre; Muriel Bonnet
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

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

4.  Proteome changes underpin improved meat quality and yield of chickens (Gallus gallus) fed the probiotic Enterococcus faecium.

Authors:  Aijuan Zheng; Jianjie Luo; Kun Meng; Jianke Li; Shu Zhang; Ke Li; Guohua Liu; Huiyi Cai; Wayne L Bryden; Bin Yao
Journal:  BMC Genomics       Date:  2014-12-23       Impact factor: 3.969

Review 5.  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

6.  Whole genome scan reveals the genetic signature of African Ankole cattle breed and potential for higher quality beef.

Authors:  Mengistie Taye; Jaemin Kim; Sook Hee Yoon; Wonseok Lee; Olivier Hanotte; Tadelle Dessie; Stephen Kemp; Okeyo Ally Mwai; Kelsey Caetano-Anolles; Seoae Cho; Sung Jong Oh; Hak-Kyo Lee; Heebal Kim
Journal:  BMC Genet       Date:  2017-02-09       Impact factor: 2.797

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

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

9.  Global Metabolic Reconstruction and Metabolic Gene Evolution in the Cattle Genome.

Authors:  Woonsu Kim; Hyesun Park; Seongwon Seo
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

10.  Integrative analysis of transcriptomics and proteomics of skeletal muscles of the Chinese indigenous Shaziling pig compared with the Yorkshire breed.

Authors:  Hu Yang; Xing-Li Xu; Hai-Ming Ma; Jun Jiang
Journal:  BMC Genet       Date:  2016-06-13       Impact factor: 2.797
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