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  • Title: Optimizing Shotgun Proteomics Analysis for a Confident Protein Identification and Quantitation in Orphan Plant Species: The Case of Holm Oak (Quercus ilex).
    Author: Gómez-Gálvez I, Sánchez-Lucas R, San-Eufrasio B, de Francisco LER, Maldonado-Alconada AM, Fuentes-Almagro C, Castillejo MA.
    Journal: Methods Mol Biol; 2020; 2139():157-168. PubMed ID: 32462585.
    Abstract:
    The proteomics of orphan, unsequenced, and recalcitrant organisms is highly challenging. This is the case of the typical Mediterranean forest tree Holm oak (Quercus ilex). Proteomics has moved on quite fast from the classical 2DE-MS to shotgun or gel-free/label-free approaches, with the latter possessing a series of advantages over the gel-based ones. Before translating proteomics data into biological knowledge, a few questions as to the analysis technique itself have to be answered including its confidence in protein identification and quantification. It is important to clearly differentiate a hit from an ortholog and gene product identification, with the difference depending on the database and the confidence parameters (score, number of peptides, and coverage). With respect to quantification and for comparative purposes it is important to make sure that we are within the linear dynamic range. For that, a calibration curve based on mass spectrometry analysis of a serial dilution of the extracts should be performed. Thus, just by validating our data with the aim of improving the quality of the analysis enables us to give a correct interpretation of our results. We show a method that aims to improve the confidence in protein identification and quantification in the orphan species Q. ilex using a shotgun proteomics approach.
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