Back to Search
Start Over
Quantification of biomarkers for beef meat qualities using a combination of Parallel Reaction Monitoring- and antibody-based proteomics.
- Source :
-
Food chemistry [Food Chem] 2020 Jul 01; Vol. 317, pp. 126376. Date of Electronic Publication: 2020 Feb 10. - Publication Year :
- 2020
-
Abstract
- We and others have identified biomarker candidates of tenderness or marbling, two major attributes of bovine meat-eating qualities for consumers' satisfaction. In this study, Reverse Phase Protein Arrays (RPPA) and targeted mass spectrometry assays using Parallel Reaction Monitoring (PRM) were developed to test whether 10 proteins pass the sequential qualification and verification steps of the challenging biomarker discovery pipeline. At least MYH1, TPI1, ALDH1A1 and CRYAB were qualified by RPPA or PRM as being differentially abundant according to marbling values of longissimus thoracis and semimembranosus muscles. Significant mathematical relationships between the individual abundance of each of the four proteins and marbling values were verified by linear or logistic regressions. Four proteins, TNNT1, MDH1, PRDX6 and ENO3 were qualified and verified for tenderness, and the abundance of MDH1 explained 49% of the tenderness variability. The present PRM and RPPA results pave the way for development of useful meat industrial multiplex-proteins assays.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Subjects :
- Aldehyde Dehydrogenase 1 Family analysis
Aldehyde Dehydrogenase 1 Family immunology
Animals
Antibodies analysis
Cattle
Limit of Detection
Linear Models
Logistic Models
Mass Spectrometry
Muscle, Skeletal metabolism
Myosin Heavy Chains analysis
Myosin Heavy Chains immunology
Protein Array Analysis
Antibodies immunology
Biomarkers analysis
Meat analysis
Proteomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1873-7072
- Volume :
- 317
- Database :
- MEDLINE
- Journal :
- Food chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 32078991
- Full Text :
- https://doi.org/10.1016/j.foodchem.2020.126376