Special Issue "Mass Spectrometric Proteomics"
A special issue of Molecules (ISSN 1420-3049).
Deadline for manuscript submissions: 30 September 2018
Prof. Dr. Paolo Iadarola
Universita degli Studi di Pavia, Department of Biology and Biotechnology “L. Spallanzani”, Pavia, Italy
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Interests: methods in biochemistry; nvestigation of the proteome of different tissues/fluids by using the classical methods of proteomics; purification and characterization of enzymes and structural proteins
A comprehensive understanding of the biochemical processes that govern life requires a deep understanding of the information encoded in the genome, and that relate to all protein forms expressed in a biological system, i.e., the proteome. While being complementary to each other, only proteome, that differs from cell to cell and changes, even for a single cell, in response to different stimuli, is descriptive of a biological phenotype. Detecting and quantifying all proteins, studying their post-translational modifications, level of expression, localization, interaction, and domain structure are the goals of proteomics. Because of its ability to handle the complexity of the events mentioned above, mass spectrometry (MS) has become an indispensable tool for proteomics. However, what does the term MS stand for? MS consists of a variety of analytical methods, each characterized by its own strengths for the solution of a peculiar problem and of which the choice depends on the aim of the study. The numerous developed applications of MS in proteomics, thus far, have contributed heavily to new insights into the roles played by some proteins in human disorders.
The aim of this Special Issue is to attract contributions on all aspects of MS-based proteomics with a special emphasis on recent/novel technologies that, by pushing the boundary of MS capabilities, make them able to address biological problems that have not yet been faced.
Prof. Dr. Paolo Iadarola
Manuscript Submission Information
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- mass spectrometry
- biological system
- protein forms
- biological phenotype
- expression, localization, interaction and domain structure of proteomics