Literature DB >> 22178849

Changes in protein abundance between tender and tough meat from bovine longissimus thoracis muscle assessed by isobaric Tag for Relative and Absolute Quantitation (iTRAQ) and 2-dimensional gel electrophoresis analysis.

S G Bjarnadóttir1, K Hollung, M Høy, E Bendixen, M C Codrea, E Veiseth-Kent.   

Abstract

The aim of this study was to find potential biomarkers for meat tenderness in bovine Longissimus thoracis muscle and to compare results from isobaric Tag for Relative and Absolute Quantitation (iTRAQ) and 2-dimensional gel electrophoresis (2-DE) analysis. The experiment included 4 tender and 4 tough samples, based on shear force measurements at 7 d postmortem, from young Norwegian red (NRF) bulls, taken at 1 h postmortem. A number of the proteins which have previously been related to tenderness were found to change in abundance between tender and tough samples, both in iTRAQ (P < 0.1) and 2-DE analysis (P < 0.05). Furthermore, 3 proteins that have not previously been related to tenderness were found to change significantly in abundance between tender and tough meat samples in the present study. These include proteins related to control of flux through the tricarboxylate cycle [2-oxoglutarate dehydrogenase complex component E2 (OGDC-E2)], apoptosis (galectin-1) and regulatory role in the release of Ca(2+) from intracellular stores (annexin A6). Even though the overlap in significantly changing proteins was relatively low between iTRAQ and 2-DE analysis, certain proteins predicted to have the same function were found in both analyses and showed similar changes between the groups, such as structural proteins and proteins related to apoptosis and energy metabolism.

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Year:  2011        PMID: 22178849     DOI: 10.2527/jas.2011-4721

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  13 in total

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Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

2.  Estimation of the proteome affecting changes in tenderness of yak meat during storage by label-free mass spectrometry.

Authors:  Shengsheng Li; Shujie Liu
Journal:  Vet Med Sci       Date:  2022-04-20

Review 3.  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

4.  iTRAQ-based quantitative proteomic analysis reveals the distinct early embryo myofiber type characteristics involved in landrace and miniature pig.

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Journal:  BMC Genomics       Date:  2016-02-25       Impact factor: 3.969

5.  Downregulation of cellular protective factors of rumen epithelium in goats fed high energy diet.

Authors:  Manfred Hollmann; Ingrid Miller; Karin Hummel; Sonja Sabitzer; Barbara U Metzler-Zebeli; Ebrahim Razzazi-Fazeli; Qendrim Zebeli
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

Review 6.  Expression Marker-Based Strategy to Improve Beef Quality.

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

7.  iTRAQ-based proteomic analysis reveals key proteins affecting muscle growth and lipid deposition in pigs.

Authors:  Zhixiu Wang; Peng Shang; Qinggang Li; Liyuan Wang; Yangzom Chamba; Bo Zhang; Hao Zhang; Changxin Wu
Journal:  Sci Rep       Date:  2017-04-24       Impact factor: 4.379

8.  Imbalance of the redox system and quality of tilapia fillets subjected to pre-slaughter stress.

Authors:  Elenice Souza Dos Reis Goes; Marcio Douglas Goes; Pedro Luiz de Castro; Jorge Antônio Ferreira de Lara; Ana Carolina Pelaes Vital; Ricardo Pereira Ribeiro
Journal:  PLoS One       Date:  2019-01-15       Impact factor: 3.240

9.  Proteomic Analysis of Beef Tenderloin and Flank Assessed Using an Isobaric Tag for Relative and Absolute Quantitation (iTRAQ).

Authors:  Zhaomin Lei; Jianping Wu; Deyin Zhang; Ting Liu; Shengguo Zhao; Jianfu Wang; Xiaoxue Zhang
Journal:  Animals (Basel)       Date:  2020-01-16       Impact factor: 2.752

10.  Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness.

Authors:  Sabrina Boudon; Joelle Henry-Berger; Isabelle Cassar-Malek
Journal:  Int J Mol Sci       Date:  2020-01-19       Impact factor: 5.923

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