Literature DB >> 30015160

Reverse Phase Protein array for the quantification and validation of protein biomarkers of beef qualities: The case of meat color from Charolais breed.

Mohammed Gagaoua1, Muriel Bonnet2, Leanne De Koning3, Brigitte Picard2.   

Abstract

Reverse Phase Protein Arrays (RPPA) were applied for the quantification and validation of protein biomarkers of beef qualities on M. longissimus thoracis sampled early post-mortem from young Charolais bulls. pHu was related to six proteins, three of which are glycolytic enzymes (ENO1, ENO3 and TPI1), while others belong to structural (TTN and α-actin) and proteolytic (μ-calpain) pathways. For color traits, several correlations were found, interestingly with structural proteins. The relationships were in some cases trait-dependent. To understand the mechanisms and explore animal variability, color data were categorized into three classes. α-actin and TTN allowed efficient separation of the classes and were strongly related with all color traits. Biomarkers belonging to heat stress and metabolism pathways were also involved. Two identified proteins, namely Four and a half LIM domains 1 (FHL1) and Tripartite motif-containing 72 (TRIM72), were for the first time related to beef color. Overall, these relationships could be used to develop muscle-specific processing strategies to improve beef color stability.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers; Meat color; Mechanisms; Multivariate analyses; RPPA; Young bulls

Mesh:

Substances:

Year:  2018        PMID: 30015160     DOI: 10.1016/j.meatsci.2018.06.039

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  7 in total

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Authors:  Zhenjiang Ding; Qichao Wei; Chunmei Liu; Hong Zhang; Feng Huang
Journal:  Foods       Date:  2022-01-13

7.  Proteomic Changes in Sarcoplasmic and Myofibrillar Proteins Associated with Color Stability of Ovine Muscle during Post-Mortem Storage.

Authors:  Xiaoguang Gao; Dandan Zhao; Lin Wang; Yue Cui; Shijie Wang; Meng Lv; Fangbo Zang; Ruitong Dai
Journal:  Foods       Date:  2021-12-03
  7 in total

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