Special Issue "Metabolomic Technologies in Medicine"
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: closed (31 July 2016).
2 Research Professor, Institute of Science and Technology & Medicine, Keele University, UK
3 Distinguished Professor, Chongqing Medical University, Chongqing, China
Interests: Preeclampsia, fetal growth restriction, pregnancy, placenta, metabolomics
Special Issues and Collections in MDPI journals
Interests: Sample preparation methods for metabolite profiling; instrument techniques for metabolomics; data analysis pipelines for metabolomic data; user-friendly interfaces for data analysis
Interests: metabolomics; GC-MS; LC-MS; pregancy complications; biomarker discovery; bioinformatic tools
The advent of laboratory robotics and multi-core computing has led to the development of high-throughput laboratory analysis and rapid data processing, driving a transformation in the way in which samples are analysed. We now have the ability to identify and measure hundreds, or thousands, of compounds in every sample, for hundreds or thousands of samples, simultaneously. In medicine, the increase in analytical power has rapidly advanced metabolic profiling of disease, enabling studies of large population cohorts. Low mass compounds produced by cellular processes can provide clues to early or hidden disease states, and the identification of such biomarkers can lead to the development of more reliable diagnostic tests. However, comprehensive profiling of all metabolites in a sample is challenging because the chemical and physical properties of each metabolite are different, and the presence of interfering compounds in the sample extract can affect analysis. While techniques exist that will analyse many metabolites adequately, it is currently not possible to analyse all metabolites optimally using a single technique.
Since its conception in the mid-late 20th century, metabolomic analysis has been dominated by mass spectrometry and nuclear magnetic resonance spectroscopy, and many emerging metabolomics technologies use hyphenated instrumentation with different sample introduction and separation techniques, such as gas chromatography, liquid chromatography, or capillary electrophoresis. While we now have the ability to acquire large amounts of high-resolution data, the software available to process and analyse this type of data has lagged somewhat, with the fastest progress being made in open source applications developed by individual researchers, rather than by commercial scientific companies. This has created a data analysis bottleneck in many metabolomic studies, especially when datasets run into thousands of samples.
This Special Issue will cover novel emerging technologies, techniques, and software in metabolomics analysis, with emphasis on the following topics:
- Discovery metabolomics.
- Translational metabolomics.
- Robotics and automation
- High-throughput technologies
- Biosample extraction techniques
- New sample introduction technologies
- Modelling of metabolite pathways in disease
- Quality control techniques
- Bioinformatics tools
- Design and optimisation of data processing software.
- Metabolomics for personalised medicine
Prof. Philip N. Baker
Dr. Elizabeth McKenzie
Dr. Morgan Han
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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. 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.
- mass spectrometry
- nuclear magnetic resonance
- translational metabolomics
- high-throughput analysis
- metabolite profiling
- biomarker discovery