Literature DB >> 33358986

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

Mónica Escandón1, Jesús V Jorrín-Novo2, María Ángeles Castillejo3.   

Abstract

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

Entities:  

Keywords:  Confidence parameters; GeLC-Orbitrap/MS; Proteotypic peptides; Quercus ilex

Mesh:

Substances:

Year:  2021        PMID: 33358986     DOI: 10.1016/j.jprot.2020.104082

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  3 in total

1.  Identification of Proteases and Protease Inhibitors in Seeds of the Recalcitrant Forest Tree Species Quercus ilex.

Authors:  Monica Escandón; Ezequiel D Bigatton; Victor M Guerrero-Sánchez; Tamara Hernández-Lao; Maria-Dolores Rey; Jesus V Jorrín-Novo; Maria Angeles Castillejo
Journal:  Front Plant Sci       Date:  2022-06-27       Impact factor: 6.627

Review 2.  Multiomics Molecular Research into the Recalcitrant and Orphan Quercus ilex Tree Species: Why, What for, and How.

Authors:  Ana María Maldonado-Alconada; María Ángeles Castillejo; María-Dolores Rey; Mónica Labella-Ortega; Marta Tienda-Parrilla; Tamara Hernández-Lao; Irene Honrubia-Gómez; Javier Ramírez-García; Víctor M Guerrero-Sanchez; Cristina López-Hidalgo; Luis Valledor; Rafael M Navarro-Cerrillo; Jesús V Jorrin-Novo
Journal:  Int J Mol Sci       Date:  2022-09-01       Impact factor: 6.208

3.  Proteomics Data Analysis for the Identification of Proteins and Derived Proteotypic Peptides of Potential Use as Putative Drought Tolerance Markers for Quercus ilex.

Authors:  Bonoso San-Eufrasio; Ezequiel Darío Bigatton; Victor M Guerrero-Sánchez; Palak Chaturvedi; Jesús V Jorrín-Novo; María-Dolores Rey; María Ángeles Castillejo
Journal:  Int J Mol Sci       Date:  2021-03-21       Impact factor: 5.923

  3 in total

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