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A straightforward gel-free proteomics pipeline assisted by liquid isoelectric focusing (OFFGEL) and mass spectrometry analysis to study bovine meat proteome
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2020
- Publisher :
- SAGE Publications, 2020.
-
Abstract
- 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.<br />This work was funded by the Spanish Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (RTA2014-00034-C04).
- Subjects :
- 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
Subjects
Details
- ISSN :
- 15321738 and 10820132
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Food Science and Technology International
- Accession number :
- edsair.doi.dedup.....6e493160dcccf7f237125b16cb6b6175