A straightforward gel-free proteomics pipeline assisted by liquid isoelectric focusing (OFFGEL) and mass spectrometry analysis to study bovine meat proteome

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 performe...

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Veröffentlicht in:Food science and technology international = Ciencia y tecnologia de los alimentos internacional. - 1998. - 27(2021), 2 vom: 29. März, Seite 112-122
1. Verfasser: Sentandreu, Enrique (VerfasserIn)
Weitere Verfasser: Fuente-García, Claudia, Navarro, José L, Sentandreu, Miguel A
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Food science and technology international = Ciencia y tecnologia de los alimentos internacional
Schlagworte:Journal Article Proteomics chromatography analysis food proteins quality assessment Proteome
Beschreibung
Zusammenfassung: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
Beschreibung:Date Completed 06.08.2021
Date Revised 06.08.2021
published: Print-Electronic
Citation Status MEDLINE
ISSN:1532-1738
DOI:10.1177/1082013220929144