Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c) Galindo-Luján et al., 2021
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/182236

Characterization and differentiation of quinoa seed proteomes by label-free mass spectrometry-based shotgun proteomics

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

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.

Matèries (anglès)

Citació

Citació

GALINDO-LUJÁN, Rocío, PONT VILLANUEVA, Laura, MINIC, Zoran, BEREZOVSKI, Maxim v., SANZ NEBOT, María victoria, BENAVENTE MORENO, Fernando j. (julián). Characterization and differentiation of quinoa seed proteomes by label-free mass spectrometry-based shotgun proteomics. _Food Chemistry_. 2021. Vol. 363, núm. 130250. [consulta: 24 de gener de 2026]. ISSN: 0308-8146. [Disponible a: https://hdl.handle.net/2445/182236]

Exportar metadades

JSON - METS

Compartir registre