Special Issue "Integrative Metabolomics"
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (31 January 2014)
Dr. Miroslava Cuperlovic-Culf
National Research Council of Canada, 100 des Aboiteaux St., Moncton, New Brunswick E1A 7R1, Canada
Interests: cell metabolomics; cancer; omics data analysis; metabolism modelling; biomarker discovery
Data emerging from individual omics approaches are often insufficient to fully understand interactions and functions of biomolecules or processes underway in biological systems. Regardless of the number of molecules observed by any omics platform, isolation of each of these platforms still provides only a limited window into the biological activity of a system under study. In addition, omic measurements are often hampered by sampling issues (insufficient number of samples) as well as intrinsic experimental errors such as non-specific binding problems, over-lapping peaks and low sensitivity as well as assignment issues. Further, a lack of direct correlation between gene expression, protein expression and pathway activation and thus metabolite concentration leaves many unanswered questions. Integrated analysis of high throughput molecular data termed integromics or polyomics has been suggested for several years as a possible avenue to overcome the limitations of individual omics methods, in terms of intrinsic errors as well as biological process coverage, thus helping in furthering our understanding of biological systems as a whole. To understanding phenotype characteristics and to further define the biological processes that are leading to observed properties, it is arguably most appropriate to investigate cross-correlation of metabolic data with genetic, epigenetic and proteomics data.
In this issue we will consider research papers and reviewer that are focusing on integration of different types of omics data with metabolomics results aimed towards better understanding or more detailed description and models of biological systems, phenotype characteristics or phenotype changes. Manuscripts dealing with applications of polyomics approach or with the development for polyomics analysis tools are highly desired.
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 500 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
• Data integration
• Systems biology
• Computational biology
Article: Transcriptomics and Metabonomics Identify Essential Metabolic Signatures in Calorie Restriction (CR) Regulation across Multiple Mouse Strains
Metabolites 2013, 3(4), 881-911; doi:10.3390/metabo3040881
Received: 28 June 2013; in revised form: 23 September 2013 / Accepted: 25 September 2013 / Published: 11 October 2013| PDF Full-text (975 KB) | HTML Full-text | XML Full-text | Supplementary Files
Article: Physiological and Molecular Timing of the Glucose to Acetate Transition in Escherichia coli
Metabolites 2013, 3(3), 820-837; doi:10.3390/metabo3030820
Received: 7 June 2013; in revised form: 28 August 2013 / Accepted: 4 September 2013 / Published: 20 September 2013| PDF Full-text (1976 KB) | HTML Full-text | XML Full-text
Metabolites 2013, 3(3), 741-760; doi:10.3390/metabo3030741
Received: 8 June 2013; in revised form: 30 July 2013 / Accepted: 5 August 2013 / Published: 3 September 2013| Cited by 2 | PDF Full-text (1066 KB) | HTML Full-text | XML Full-text
Last update: 21 August 2013