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Molecular signatures of beef tenderness: Underlying mechanisms based on integromics of protein biomarkers from multi-platform proteomics studies

期刊

MEAT SCIENCE
卷 172, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.meatsci.2020.108311

关键词

Meta-analysis; Meat tenderness; Data integration; Panel of biomarkers; Longissimus thoracis; Muscle; Proteome; Enzymes; Z-disc; Biological pathways; Networks; Cattle

资金

  1. Marie Sklodowska-Curie grant [713654]
  2. Meat Technology Ireland (MTI) [TC 2016 002]
  3. Marie Curie Actions (MSCA) [713654] Funding Source: Marie Curie Actions (MSCA)

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Proteomics has been used to identify potential protein biomarkers for beef tenderness, with a meta-analysis compiling a comprehensive list of candidates for evaluation. The study further explores the interconnectedness of biological pathways impacting tenderness determination.
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.

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