Characterization and differentiation of quinoa seed proteomes by label-free mass spectrometry-based shotgun proteomics
Rocío Galindo‐Luján, Laura Pont, Zoran Minić, Maxim V. Berezovski, Victòria Sanz‐Nebot, Fernando Benavente
Food Chemistry
Abstract
Quinoa seed proteins are of prime importance in human nutrition and in plant breeding for cultivar identification and improvement. In this study, proteins from seeds of black, red, white quinoa from Peru and white quinoa from Bolivia (also known as royal) were extracted, digested and analyzed by nano-liquid chromatography coupled to Orbitrap tandem mass spectrometry (LC-MS/MS). The raw mass spectra data were processed for identification and label-free quantification (LFQ) using MaxQuant/Andromeda against a specific quinoa database from The National Center for Biotechnology Information (NCBI). In total, 1,211 quinoa proteins (85 were uncharacterized) were identified. Inspection and visualization using Venn diagrams, heat maps and Gene Ontology (GO) graphs revealed proteome similarities and differences between the four varieties. The presented data provides the most comprehensive experimental quinoa seed proteome map existing to date in the literature, as a starting point for more specific characterization and nutritional studies of quinoa and quinoa-containing foodstuff.
Extracted Claims
4 claims extracted from this paper into the knowledge graph
nano-liquid chromatography coupled to Orbitrap tandem mass spectrometry (LC-MS/MS) was used to analyze quinoa seed proteins
“proteins from seeds of black, red, white quinoa from Peru and white quinoa from Bolivia (also known as royal) were extracted, digested and analyzed by nano-liquid chromatography coupled to Orbitrap ta...”
1,211 quinoa proteins were identified in the study
“In total, 1,211 quinoa proteins (85 were uncharacterized) were identified”
Venn diagrams, heat maps, and Gene Ontology (GO) graphs were used to reveal proteome similarities and differences
“Inspection and visualization using Venn diagrams, heat maps and Gene Ontology (GO) graphs revealed proteome similarities and differences between the four varieties”