Special Issue "Response to Environment and Stress Metabolism"
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (30 June 2013)
Prof. Dr. Teresa Fan
Department of Chemistry, University of Louisville, Louisville, KY 40292, USA
Interests: use of metabolomics and transcriptomics for probing metabolic regulation and adaptation in organisms in response to environmental perturbations; molecular mechanism of Se toxicity in the environment and chemoprevention in human cancers; translation of basic metabolic knowledge into functional diagnostic markers and molecular targets for cancers
Environmental stresses are inevitable factors of life that all organisms encounter. Successful adaptations to various physical, chemical, nutritional, and/or biological threats are essential to species survival and ability to occupy environmental niches. Stress metabolism is the functional outcome of altered genetic, protein, and substrate level regulation in response to environmental variables, in terms of chronic to acute conditions. However, our understanding of stress metabolism has been hampered by the lack of tools to interrogate the metabolome with sufficient coverage. Recent advances in metabolomics tools, principally nuclear magnetic resonance spectroscopy and mass spectrometry, have enabled large-scale characterization of metabolism in organisms ranging from single cells to humans under a variety of environmental conditions. By introducing stable isotope tracers and resolving isotope labeling patterns in various metabolites, large-scale reconstruction of metabolic networks can be achieved with little ambiguity to facilitate the elucidation of the underlying regulatory pathways. Together with genomic, epigenomic, transcriptomic, and proteomic advances, these metabolomic tools will help revolutionize stress metabolic research in the 21st century, whether dealing with indigenous or model organisms.
In this special issue of Metabolites, original papers are solicited that utilize metabolomics tools to explore stress metabolism and to elucidate its regulation in a wide range of biological systems and environmental conditions. Novel metabolomics methods or informatics tools that advance current state-of-science are also welcome.
Prof. Dr. Teresa W.-M. Fan
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. For the first couple of issues the Article Processing Charges (APC) is waived for well prepared manuscripts in 2012 and starting January 2013, the APC is 300 CHF per accepted paper. 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.
- integration of transcriptomics, proteomics, and metabolomics
- model cells and whole organisms
- indigenous single cell and multi-cellular organisms
- Stable isotope tracers
- pathway elucidation
- metabolic compartmentation
- reconstruction of metabolic networks
- environmental stressors of metabolism and stress responses
- novel mass spectrometry and NMR methodologies for high content analysis
- flux analysis and modeling
- bioinformatic tools for metabolite assignment