Selected Papers from “Clinical Proteomics. Postgenome Medicine 2017”

A special issue of Proteomes (ISSN 2227-7382).

Deadline for manuscript submissions: closed (31 December 2017) | Viewed by 7954

Special Issue Editors


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Guest Editor
1. Institute of Biomedical Chemistry, Moscow, Russia
2. Bioinformatics Technologies Lab, Orekhovich Institute of Biomedical Chemistry, Moscow, Russia
Interests: bioinformatics; drug metabolism; pharmacogenomics; metabonomics; nutriomics; data-enabled wellness; digital medicine; health protection technologies

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Guest Editor
Functional Proteomics Laboratory of Spanish National Centre for Biotechnology, Madrid, Spain
Interests: Human Proteome Project; cancer biology; cell biology; liver disease; proteoinformatics; standardization; post translational modifications

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Guest Editor
1. School of Systems Biology, George Mason University, Fairfax, VA, USA
2. Research Centre for Medical Genetics, Moscow, Russia
Interests: molecular pathways in human cells; genomics; transcriptomics; disease biomarkers; systems medicine; personalized medicine; RNA editing; cancer

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Guest Editor
Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China
Interests: bioanalytical chemistry; biomolecules in the gas phase; ionization; molecular adsorption; metabolomics; laboratory-developed tests

Special Issue Information

Dear Colleagues,

As a mature research arena, proteomics is ready to embed into our daily life and improve its quality through a cornucopia of biomedical applications. It is already established as an integral part of the postgenomic medicine, which recently became a driver for long-awaited implementation of the holistic vision of the human health and wellbeing. A pillar of postgenomic technologies, proteomics applications are co-developed along with other “omics” and data-enables science (Big Data). Moreover, proteomics actively responds to most urgent challenges of providing humanity with better food and improving the planet. Proteomics per se, but also proteomics as a part of a larger picture is on the agenda of the International Conference “Clinical Proteomics. Postgenome Medicine” held in Moscow, Russia, from 30 October to 1 November, 2017 (www.clinprot2017.org).

This conference is supervised by the European Proteome Association (EuPA) charged to supply its attendance with the rich menu of proteomics events scheduled for the Fall of 2017. We expect this Protein Fall to substantially expand the dialog between cutting-edge laboratory research and leading health practitioners. In this sense, the Protein Fall follows in a wake of a series of preceding annual meetings coordinated by the Spanish Proteome Society and the ProteoRed.

We invite you to contribute your works to the “Protein Fall” Special Issue. We hope to assemble a colorful collection of original studies, short reports and mini-reviews that would highlight the fruitful collaborative merging of proteomics with adjacent fields of genomics and metagenomics, transciptomics and metabolomics, systems biology and bioinformatics. We are especially keen on presenting original ideas and opinion papers on how high-throughput molecular profiling could capture individual body’ responses to the changes in lifestyle and exposure to risk factors, along with proteomics-driven studies of human diet, safety of our environment, or prevention of common diseases. Applied proteome studies are also welcome, especially when inspired by Big Data.

In other words, even if you do not study proteins as such, but see your results as important for the vigorous deployment of proteomics—your contribution fits the scope of this Special Issue.

Sincerely,

Prof. Dr. Andrey Lisitsa
Prof. Dr. Fernando Corrales
Prof. Dr. Ancha Baranova
Prof. Dr. Konstantin Chingin
Guest Editors

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 submissions that pass pre-check are 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. Proteomes is an international peer-reviewed open access quarterly 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.

Published Papers (2 papers)

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12 pages, 1822 KiB  
Article
The Gene-Centric Content Management System and Its Application for Cognitive Proteomics
by Ekaterina V. Poverennaya, Alexander V. Shargunov, Elena A. Ponomarenko and Andrey V. Lisitsa
Proteomes 2018, 6(1), 12; https://doi.org/10.3390/proteomes6010012 - 23 Feb 2018
Cited by 2 | Viewed by 3696
Abstract
The Human Proteome Project is moving into the next phase of creating and/or reconsidering the functional annotations of proteins using the chromosome-centric paradigm. This challenge cannot be solved exclusively using automated means, but rather requires human intelligence for interpreting the combined data. To [...] Read more.
The Human Proteome Project is moving into the next phase of creating and/or reconsidering the functional annotations of proteins using the chromosome-centric paradigm. This challenge cannot be solved exclusively using automated means, but rather requires human intelligence for interpreting the combined data. To foster the integration between human cognition and post-genome array a number of specific tools were recently developed, among them CAPER, GenomewidePDB, and The Proteome Browser (TPB). For the purpose of tackling the task of protein functional annotating the Gene-Centric Content Management System (GenoCMS) was expanded with new features. The goal was to enable bioinformaticans to develop self-made applications and to position these applets within the generalized informational canvas supported by GenoCMS. We report the results of GenoCMS-enabled integration of the concordant informational flows in the chromosome-centric framework of the human chromosome 18 project. The workflow described in the article can be scaled to other human chromosomes, and also supplemented with new tracks created by the user. The GenoCMS is an example of a project-oriented informational system, which are important for public data sharing. Full article
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7275 KiB  
Article
Variety and Dynamics of Proteoforms in the Human Proteome: Aspects of Markers for Hepatocellular Carcinoma
by Stanislav Naryzhny, Victor Zgoda, Artur Kopylov, Elena Petrenko, Olga Kleist and Аlexander Archakov
Proteomes 2017, 5(4), 33; https://doi.org/10.3390/proteomes5040033 - 23 Nov 2017
Cited by 10 | Viewed by 3789
Abstract
We have previously developed an approach, where two-dimensional gel electrophoresis (2DE) was used, followed by sectional analysis of the whole gel using high-resolution nano-liquid chromatography-mass spectrometry (ESI LC-MS/MS). In this study, we applied this approach on the panoramic analysis of proteins and their [...] Read more.
We have previously developed an approach, where two-dimensional gel electrophoresis (2DE) was used, followed by sectional analysis of the whole gel using high-resolution nano-liquid chromatography-mass spectrometry (ESI LC-MS/MS). In this study, we applied this approach on the panoramic analysis of proteins and their proteoforms from normal (liver) and cancer (HepG2) cells. This allowed us to detect, in a single proteome, about 20,000 proteoforms coded by more than 4000 genes. A set of 3D-graphs showing distribution of these proteoforms in 2DE maps (profiles) was generated. A comparative analysis of these profiles between normal and cancer cells showed high variability and dynamics of many proteins. Among these proteins, there are some well-known features like alpha-fetoprotein (FETA) or glypican-3 (GPC3) and potential hepatocellular carcinoma (HCC) markers. More detailed information about their proteoforms could be used for generation of panels of more specific biomarkers. Full article
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