Mass Spectrometric Proteomics II

Dear Colleagues,

In the last two decades, the investigation of genome, including transcriptome, has been widely applied and has permitted us to improve our undestanding of it; however, at the same time, it has increased the demand to characterize other -omes sectors, such as proteome and metabolome, in order to find a complete description at molecular level of the biological mechanisms.

In addition, the improvements of both proteomics applications and related hypenated techniques, such as mono- and two-dimensional chromatography coupled to tandem mass spectrometry, have permitted us to develop the so-called mass spectrometry-based proteomics. Today, the MS-based approach has become the gold standard for proteomics study, as it allows the identification of thousands proteins for each analysis and the investigation of a wide range of samples, without limits concerning molecular weight, isoelectric point or hydrophobicity, including protein aggregates.

This Special Issue on “Mass Spectrometric Proteomics” will cover several topics, including but not limited to:

• Proteome analysis;
• Study of protein–protein interactions;
• Clinical proteomics;
• Proteomics for biomarker discovery;
• Proteomics for amyloid investigations;
• Quantitative proteomics by label-free or label-based approaches;
• Mass spectrometry analysis for the identification and the characterization of post-translational modifications (PTMs);
• Study of protein structure by mass spectrometry;
• MS-based proteomics imaging;
• Development of new analytical MS-based methods.

We warmly invite our colleagues to submit their original contributions to this Special Issue in order to provide recent updates regarding analytical MS-based methods for proteomics that will be of interest to our readers, including o-line separation techniques; native and structural analysis;,such as hydrogen deuterium exchange (HDX); cross-linking and top–down; imaging; data-independent analysis (DIA); protein–protein interactions and single cell analysis; and integration with dedicated computational tools.

We would be delighted if you could respond to confirm your contribution and the proposed title by 30 September 2020 to assist in planning the whole project.

Prof. Pierluigi Mauri
Prof. Martina Marchetti-Deschmann
Dr. Diana Canetti
Guest Editors

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