Special Issue "Metabolomics Modelling"
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (31 July 2017)
Dr. Miroslava Cuperlovic-Culf
National Research Council Canada, 1200 Montreal Road, M-50 Room 353, Ottawa, ON K1A 0R6, Canada
Interests: cell metabolomics; cancer; omics data analysis; metabolism modelling; biomarker discovery
Life on Earth depends on the dynamic transformation of chemicals—metabolites orchestrated by proteins and genes, which are, in turn, extensively regulated by metabolites. Omics data provide measurements of all of these molecules, tabulating their changes in different environments in health and disease. Obtaining knowledge of metabolism and having the ability to predict behaviors of biological systems from available data remains one the main challenges of the omics revolution. Mathematical and computational modelling analysis methods are being actively developed in order to investigate, describe and predict all steps in the metabolic process, from the interaction between molecules, all the way to the modelling of complete metabolic networks of cells and even networks of multiple cells. These efforts require major inputs from highly multidisciplinary teams aided by sophisticated computational technologies. The effort is very much worthwhile, and it has already provided a more detailed understanding of the diseases development, better determination of optimal targets for different treatments, as well as optimization of cellular growth systems such as bioreactors, to name just a few applications.
This Special Issue will focus on experimental and computational advances in the analysis of metabolic flux; modelling of metabolite regulation of protein activity and expression; metabolic processes analysis and modelling; quantitative metabolomics application in metabolism modelling; computational modelling of metabolic networks; computational analysis of the effects of genetic and nutritional modification on cell metabolism and growth. Our goal is to combine in one issue diverse examples of the application of modelling in the analysis of metabolic processes, pathways and networks, as well as their regulation.
Dr. Miroslava Cuperlovic-Culf
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. Metabolites 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 850 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.
- metabolic models
- reconstruction of metabolic networks
- metabolism regulation
- system biology
- omics data integration
- metabolism regulation
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.
Tentative title: Deterioration of Donated Human Blood Units with Storage Time
Author: Zhen Qi, John Roback, and Eberhard Voit
Affiliation: Georgia Tech and Emory Medical School
Abstract: BACKGROUND. Donated blood is typically stored before transfusions. During storage, the metabolism of red blood cells changes, possibly causing storage lesion. The changes are storage time dependent and exhibit donor-specific variations. It is necessary to uncover and characterize the responsible molecular mechanisms qualitatively and quantitatively. STUDY DESIGN AND METHODS. Based on the integration of metabolic time series data, kinetic models, and a stoichiometric model of the glycolytic pathway, a customized inference method was developed and used to quantify dynamic changes in glycolytic fluxes during storage. RESULTS. Several glycolytic reaction steps change substantially during storage time and vary among different fluxes and donors. The quantification of these storage time effects, which are possibly irreversible, allows predictions regarding storage lesion and transfusion outcome of individual blood units. CONCLUSION. The improved mechanistic understanding of blood storage, obtained from this computational study, may aid the identification of blood units that age quickly or more slowly during storage, and thus may improve transfusion management in clinics.