Special Issue "Cell and Tissue Metabolomics"
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (30 June 2014)
Dr. Justin J.J. van der Hooft
Plant Products and Human Nutrition group, North Lab, Joseph Black Building, University of Glasgow, Glasgow G12 8QQ, UK
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Interests: mass spectrometry; mass spectrometry fragmentation; nuclear magnetic resonance spectroscopy; metabolite identification; structural elucidation; metabolite annotation; automated metabolite annotation; polyphenols; bioavailability; metabolomics; urine
The last two decades we have witnessed an exciting development of metabolomics techniques and approaches. Without disregarding the other analytical tools, the two main analytical pillars are currently mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR). The total extracts of numerous plants, yeast, and human bio fluids were comprehensively characterised. With the equipment getting increasingly sensitive, we now see the first examples of cell and tissue metabolomes being, at least partially, resolved, with cancer cells and tissues being in the centre of attention.
Again the main challenges to be expected are: i) can we fully elucidate all detected metabolites, and ii) can we develop protocols for robust extraction and detection of the small metabolites? There are several interesting questions to be addressed: a) how can we learn from previous metabolomics studies, b) how can we organize the tremendous amount of data and metadata on metabolites in the most efficient way, and c) how can software tools help us solving the metabolomics challenges?
Herewith I invite you to contribute to this special issue of Metabolites: original research, a reviewing of the initial attempts, and ideas on how to tackle the cell and tissue metabolomics challenges in the nearby future are all welcome, from both the plant and human metabolomics field.
Dr. Justin J.J. van der Hooft
Manuscript Submission Information
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- cell metabolomics
- tissue metabolomics
- metabolite annotation
- metabolite identification
- mass spectrometry
- spectral databases
- compound databases
- sample preparation techniques
- metabolic networks