Metabolomics: Advances and Applications
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Bioorganic Chemistry".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 388
Special Issue Editor
2. Institute of Applied Biosciences, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece
Interests: metabolomics; lipidomics; mass spectrometry; chromatography; multi-omics; systems biology; bioinformatics; metabolite structure identification; sphingolipids; cardiovascular disease; atherosclerosis
Special Issue Information
Dear Colleagues,
The metabolomics discipline involves utilizing chemical analysis tools for the profiling of small molecules (metabolites) in biological (or biologically derived) matrices. Ideally metabolomics workflows aim toward a comprehensive coverage of the metabolome. However, the vast diversity in physicochemical properties and concentration ranges of metabolites render efforts for expanding metabolome coverage problematic. Tackling this challenge typically demands employing multiple profiling methods and techniques. Consequently, this has led to the division of the discipline into a number of subcategories, usually based on physicochemical properties, chemical structure, and concentration of analytes in the studied matrix. These metabolomics subcategories include lipidomics, volatomics, steroidomics, oxylipinomics, and eicosanomics, to name a few. Each subdiscipline requires specific conditions for optimal sample preparation, coupled with the recommended system for chemical analysis. This SI is dedicated to highlighting recent advances and applications involving metabolomics pipelines, from sample collection and preparation, to chemical analysis and chemical structure elucidation, as well as post-acquisition data processing and statistical analysis.
Dr. Panagiotis A. Vorkas
Guest Editor
Manuscript Submission Information
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Keywords
- Metabolomics
- Metabonomics
- Metabolic profiling
- Metabolic phenotyping
- Metabolite extraction
- Sample preparation
- Mass spectrometry
- NMR spectroscopy
- MS imaging
- Chromatography
- Data processing
- Bioinformatics
- Statistical analysis
- Metabolite annotation
- Metabolite identification
- Systems biology
