Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland.
INRAE, Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
Meat Sci. 2021 Feb;172:108311. doi: 10.1016/j.meatsci.2020.108311. Epub 2020 Sep 19.
Over the last two decades, proteomics have been employed to decipher the underlying factors contributing to variation in the quality of muscle foods, including beef tenderness. One such approach is the application of high-throughput protein analytical platforms in the identification of meat quality biomarkers. To broaden our understanding about the biological mechanisms underpinning meat tenderization across a large number of studies, an integromics study was performed to review the current status of protein biomarker discovery targeting beef tenderness. This meta-analysis is the first to gather and propose a comprehensive list of 124 putative protein biomarkers derived from 28 independent proteomics-based experiments, from which 33 robust candidates were identified worthy of evaluation using targeted or untargeted data-independent acquisition proteomic methods. We further provide an overview of the interconnectedness of the main biological pathways impacting tenderness determination after multistep analyses including Gene Ontology annotations, pathway and process enrichment and literature mining, and specifically discuss the major proteins and pathways most often reported in proteomics research.
在过去的二十年中,蛋白质组学被用于破译导致肌肉食品质量变化的潜在因素,包括牛肉嫩度。其中一种方法是应用高通量蛋白质分析平台来鉴定肉类质量生物标志物。为了更广泛地了解大量研究中支撑肉嫩化的生物学机制,进行了整合组学研究,以综述针对牛肉嫩度的蛋白质生物标志物发现的现状。这项荟萃分析首次收集并提出了一个综合的 124 个假定蛋白质生物标志物清单,这些生物标志物源自 28 个独立的基于蛋白质组学的实验,其中 33 个稳健的候选者被确定值得使用靶向或非靶向数据独立采集蛋白质组学方法进行评估。我们进一步概述了主要的生物学途径的相互关系,这些途径影响多步分析后的嫩度决定,包括基因本体注释、途径和过程富集以及文献挖掘,并特别讨论了在蛋白质组学研究中最常报道的主要蛋白质和途径。