Proteomic pipeline for biomarker hunting of defective bovine meat assisted by liquid chromatography-mass spectrometry analysis and chemometrics
| Autor: | Claudia Fuente-García, Noelia Aldai, Miguel Angel Sentandreu, Mamen Oliván, Enrique Sentandreu |
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| Přispěvatelé: | CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Eusko Jaurlaritza, European Commission, Ministerio de Ciencia, Innovación y Universidades (España) |
| Rok vydání: | 2021 |
| Předmět: |
Proteomics
0301 basic medicine Meat Biophysics Muscle Proteins Biology Beef cattle Muscle proteome Loin Targeted quantitative analysis Biochemistry Chemometrics 03 medical and health sciences Pre-slaughter stress Liquid chromatography–mass spectrometry Animals Food science Muscle Skeletal High pHu meat Gel-free analysis 030102 biochemistry & molecular biology Quality assessment Tryptic peptide food and beverages Biomarker (cell) 030104 developmental biology Peptide biomarkers Proteome Cattle Biomarkers Chromatography Liquid |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | A wide variety of factors prior to slaughter may affect the stress status of beef cattle, giving rise to well-known ‘dark-cutting’ defective meats characterised by a high ultimate pH (pHu). To understand the underlying mechanisms of pHu fluctuations in beef cattle there was studied the proteome changes caused by pre-slaughter stress through a gel-free proteomic approach. Comparative peptidomic analysis was carried out on 12 loin samples at 24 h post-mortem from Longissimus thoracis et lumborum bovine muscle of crossbred animals, previously sorted into two different groups according to their pHu values: normal (pHu < 6.0) and high (pHu ≥ 6.0). Tryptic peptides from direct protein extracts were approached by combining untargeted (intact mass, MS1) and targeted (Selected Reaction Monitoring, SRM) quantitative LC-MS assays followed by chemometric analysis. Seventeen peptide biomarkers belonging to 10 different proteins appropriately discriminated sample groups assayed. Results may promote the use of this simple and effective methodology towards the creation of new insights in meat quality research. Department of Economic Development and Infrastructures of the Basque Government is acknowledged for the doctoral fellowship of C.F.G. Project RTA2014-00034-C04 (Spanish Instituto Nacional de Investigación y Tecnología Agraria, INIA), RTI2018-096162-R-C22 (Spanish Agencia Estatal de Investigación) and FEDER founds partially supported this research and to uphold contract of E. Sentandreu. |
| Databáze: | OpenAIRE |
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