Special Issue "Mass Spectrometric Proteomics"
Deadline for manuscript submissions: 30 September 2018
Prof. Dr. Paolo Iadarola
Department of Biology and Biotechnologies “L. Spallanzani”, Biochemistry Unit, University of Pavia, Italy
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Interests: methods in biochemistry; investigation of the proteome of different tissues/fluids by using the classical methods of proteomics; purification and characterization of enzymes and structural proteins; electrophoresis；2‐DE；liquid chromatography；LC-MS；proteomics；human fluids；metabolomics
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- mass spectrometry
- biological system
- protein forms
- biological phenotype
- expression, localization, interaction and domain structure of proteomics
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: A LITTLE KNOWN TRYPSIN ISOFORM
Article type: Review
Authors: Zdeněk PERUTKA and Marek ŠEBELA
Affiliation: Department of Protein Biochemistry and Proteomics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic
Title: Proteomics Of Chronic Obstructive Pulmonary Disease: Could These Data Help Clinicians For A Better Understanding Of This Severe Disorder?
Article type: Review
Authors: S. Viglio 1, M. Cagnone 1, R. Salvini 1, A. Bardoni 1, M. Fumagalli 2 and P. Iadarola 2
1. Department of Molecular Medicine, Biochemistry Unit, University of Pavia, Italy
2. Department of Biology and Biotechnologies, Biochemistry Unit, University of Pavia, Italy
Abstract: Chronic Obstructive Pulmonary Disease (COPD) is an “umbrella” term that combines different pathological conditions such as emphysema, chronic bronchitis, non-reversible asthma and some types of bronchiectasis characterized by irreversible airflow limitations. Cigarette smoking, while being the main cause of the disorder, is not the only one. In fact, continuous inhalation of toxic gases and particles which promote chronic airway inflammation, as well as genetic factors, i.e. the deficiency of α1-antitrypsin, may contribute to the development of this pathology. Being COPD very heterogeneous and potentially representing several disease phenotypes, an early correct diagnosis of this disorder may be difficult. It is a common opinion that the finding of specific molecular markers of a disease would strongly contribute to speeding up its diagnosis thus developing a possible treatment and/or making it more effective. With the advent of proteomics, identification of proteins in different organs/tissues, aimed at understanding whether they represent a helpful tool for monitoring alterations in these districts, has become an area of increasing interest. Aim of this review article is to keep the reader informed about the proteomic data produced in the last ten years in the field of pulmonary disorders with special emphasis on COPD. Taken together, the results documented here demonstrate that, after a few years of activity, proteomics of COPD is catching up with its promise. The constantly growing number of reports in this area supports the view of this approach as one of the decisive methodological tools for the identification/characterization of disease-associated proteins.