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.
摘要：
反相蛋白质阵列（RPPA）用于定量和验证从年轻的Charolais公牛死后早期采样的胸肌上的牛肉质量的蛋白质生物标志物。pHu与六种蛋白质有关，其中三种是糖酵解酶(ENO1、ENO3和TPI1)，而其他属于结构（TTN和α-肌动蛋白）和蛋白水解（μ-钙蛋白酶）途径。对于颜色特征，发现了几个相关性，有趣的是结构蛋白。这些关系在某些情况下是性状依赖性的。为了了解其机制并探索动物的变异性，颜色数据分为三类。α-肌动蛋白和TTN允许有效分离类别，并且与所有颜色性状密切相关。还涉及属于热应激和代谢途径的生物标志物。两种确定的蛋白质，即四个半LIM结构域1(FHL1)和含有三方基序的72(TRIM72)，第一次与牛肉的颜色有关。总的来说,这些关系可用于开发肌肉特异性加工策略，以提高牛肉颜色的稳定性。
