Application and optimization of label-free shotgun approaches in the study of Quercus ilex.

Confidence parameters GeLC-Orbitrap/MS Proteotypic peptides Quercus ilex

Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
20 02 2021
Historique:
received: 07 12 2020
revised: 16 12 2020
accepted: 18 12 2020
pubmed: 29 12 2020
medline: 22 6 2021
entrez: 28 12 2020
Statut: ppublish

Résumé

Advances in proteomic equipment, algorithms and wet protocols are being increasingly reported. Each step in the experimental workflow must be adapted and optimized to the target experimental system and objectives. The influence of the amount of peptides loaded onto the column in shotgun platforms has rarely been considered to date even though it dictates the confidence with which proteins can be identified and quantified. An experiment using variable dilutions of protein equivalent mixtures of root, leaf and seed tissue extracts of Quercus ilex was performed by subjecting BSA protein equivalent amounts of 1-100 μg to SDS-PAGE, the resulting bands being trypsin digested and peptides (10-1000 ng protein equivalents) loaded onto an LC column. Mass spectra were used to identify proteins against the in-house Q. ilex transcriptome database. Determinations included SEQUEST quantification (average of the three most abundant distinct peptides for each protein) and proteotypic peptides. The number of proteins identified was found to depend on peptide load and to peak at 2054 with 600 ng. Smaller loads led to linearly decreasing identifications from 1859 with 400 ng to 495 with 10 ng. Both quantification strategies provided similar results. The linear dynamic range was from 100 to 600 ng.

Identifiants

pubmed: 33358986
pii: S1874-3919(20)30450-4
doi: 10.1016/j.jprot.2020.104082
pii:
doi:

Substances chimiques

Peptides 0
Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104082

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Mónica Escandón (M)

Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, Department of Biochemistry and Molecular Biology, University of Cordoba, UCO-CeiA3, Cordoba 14014, Spain. Electronic address: bb2esmam@uco.es.

Jesús V Jorrín-Novo (JV)

Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, Department of Biochemistry and Molecular Biology, University of Cordoba, UCO-CeiA3, Cordoba 14014, Spain.

María Ángeles Castillejo (MÁ)

Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, Department of Biochemistry and Molecular Biology, University of Cordoba, UCO-CeiA3, Cordoba 14014, Spain. Electronic address: bb2casam@uco.es.

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Classifications MeSH