1. Molecular signatures of beef tenderness: Underlying mechanisms based on integromics of protein biomarkers from multi-platform proteomics studies
- Author
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David L. Hopkins, Declan J. Troy, David E. Gerrard, Brigitte Picard, Robyn D. Warner, E.M. Claudia Terlouw, Peter P. Purslow, Daniel Franco, José M. Lorenzo, Mohammed Gagaoua, Anne Maria Mullen, Teagasc - The Agriculture and Food Development Authority (Teagasc), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centro Tecnológico de la Carne de Galicia, Galicia street n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900, Ourense, Spain, CIVETAN, Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA 24061, USA, NSW DPI, Centre for Red Meat and Sheep Development, Cowra, and Marie Sklodowska-Curie grant 713654Meat Technology Ireland (MTI) TC 2016 002
- Subjects
Proteomics ,Protein biomarkers ,Proteome ,Biological pathways ,Muscle Proteins ,Computational biology ,Biology ,Panel of biomarkers ,Longissimus thoracis ,03 medical and health sciences ,Meat tenderness ,medicine ,Animals ,Biomarker discovery ,Muscle, Skeletal ,030304 developmental biology ,0303 health sciences ,Z-disc ,[SDV.BA]Life Sciences [q-bio]/Animal biology ,0402 animal and dairy science ,04 agricultural and veterinary sciences ,040201 dairy & animal science ,Enzymes ,Tenderness ,Red Meat ,Meta-analysis ,DECIPHER ,Muscle ,Identification (biology) ,Data integration ,Cattle ,medicine.symptom ,Networks ,Biomarkers ,Food Science - Abstract
International audience; 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.
- Published
- 2021
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