A straightforward gel-free proteomics pipeline assisted by liquid isoelectric focusing (OFFGEL) and mass spectrometry analysis to study bovine meat proteome
Autor: | Claudia Fuente-García, Miguel Angel Sentandreu, Enrique Sentandreu, José L. Navarro |
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Přispěvatelé: | CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) |
Rok vydání: | 2020 |
Předmět: |
Proteomics
Meat Proteome General Chemical Engineering Fractionation Mass spectrometry 01 natural sciences Industrial and Manufacturing Engineering Food proteins 03 medical and health sciences Tandem Mass Spectrometry Animals Chromatography analysis 030304 developmental biology 0303 health sciences Gel free proteomics Chromatography Quality assessment Isoelectric focusing Chemistry 010401 analytical chemistry 0104 chemical sciences Food products Cattle Isoelectric Focusing Food Analysis Food Science |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
ISSN: | 1532-1738 1082-0132 |
DOI: | 10.1177/1082013220929144 |
Popis: | Bovine sarcoplasmic sub-proteome was studied through a straightforward gel-free pipeline supported by liquid isoelectric focusing (OFFGEL) protein fractionation coupled to liquid chromatography-mass spectrometry (LC-MS) analysis. Full-MS and data-dependent MS/MS analyses were simultaneously performed by a conventional three-dimensional ion-trap addressing targeted quantitative and untargeted qualitative research, respectively. There were unambiguously identified 47 proteins distributed along 12 OFFGEL fractions assayed. Regarding intermediate- and high-abundant peptides, bulky quantitative data processing performed by MZmine 2 freeware yielded a satisfactory linearity and coefficient of variation with r2 in the 0.95–0.99 range and about 25%, respectively. Up to 41 peptides from 20 identified proteins were relatively quantified throughout OFFGEL fractions. This reliable, flexible and affordable gel-free proteomic approach could be readily implemented by industry to improve quality assessment of protein-based food products. This work was funded by the Spanish Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (RTA2014-00034-C04). |
Databáze: | OpenAIRE |
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