NMC

Core themes

Biostatistics

Global analysis of time resolved data from different compartments and treatments
The goal of this project is to develop metabolomics data analysis tools to be able to integrate metabolic profiles originating from different body fluids and organs. The combined analysis of profiles from different body fluids and organs will result in better descriptions of the biological process studied, or enhance the discovery of biomarkers, especially when this analysis is coupled with pharmacokinetic or physiological information.
For more Biostatistics project descriptions click here.

Quantitative Profiling

Preprocessing of hyphenated analytical data
The main goal of this project is to process raw chromatography mass spectroscopic data such that it can be used for statistics, interpretation and quality control in analytical chemistry. To this end, so called deconvolution algorithms will be developed that allow for automatic generation of peak tables and mass spectral data from large sets of chromatographic data.
For more Quantative Profiling project descriptions click here.

Metabolite Identification

Systematic metabolite identification strategies using LC-SPE-NMR-MSⁿThis project aims to establish novel methods and protocols for the unambiguous identification of unknown metabolites by NMR and high resolution LC-MSⁿ., starting with plant-derived semi-polar and apolar compounds. These classes of compounds comprise economically and nutritionally important metabolites including health-related phytonutrients present in fruits, vegetables and products derived thereof. For differently accumulating semi-polar and apolar LC-MS or NMR features, identified in plants and human body fluids within associated projects, identification techniques will be developed based on high resolution LC-MSⁿtrees and LCxLC-SPE-NMR-MS. As for many metabolites only limited amounts will be available, we will focus on lowering the sensitivity limits for NMR to concentrations of 100 or, preferably, 10 nanograms of purified compound, for both plant and human body fluid samples. The LC-MSⁿ and NMR data generated will be used for algorithm development and tools for automated metabolite detection.
For more Metabolite Identification project descriptions click here.


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Core themes Biostatistics Global analysis of time resolved data from different compartments and treatments The goal of this project is to develop metabolomics data analysis tools to be able to integrate metabolic profiles originating from different body fluids and organs. The combined analysis of profiles from different body fluids and organs will result in better descriptions of the biological process studied, or enhance the discovery of biomarkers, especially when this analysis is coupled with pharmacokinetic or physiological information. For more Biostatistics project descriptions click here. Quantitative Profiling Preprocessing of hyphenated analytical data The main goal of this project is to process raw chromatography mass spectroscopic data such that it can be used for statistics, interpretation and quality control in analytical chemistry. To this end, so called deconvolution algorithms will be developed that allow for automatic generation of peak tables and mass spectral data from large sets of chromatographic data. For more Quantative Profiling project descriptions click here. Metabolite Identification Systematic metabolite identification strategies using LC-SPE-NMR-MSⁿThis project aims to establish novel methods and protocols for the unambiguous identification of unknown metabolites by NMR and high resolution LC-MSⁿ., starting with plant-derived semi-polar and apolar compounds. These classes of compounds comprise economically and nutritionally important metabolites including health-related phytonutrients present in fruits, vegetables and products derived thereof. For differently accumulating semi-polar and apolar LC-MS or NMR features, identified in plants and human body fluids within associated projects, identification techniques will be developed based on high resolution LC-MSⁿtrees and LCxLC-SPE-NMR-MS. As for many metabolites only limited amounts will be available, we will focus on lowering the sensitivity limits for NMR to concentrations of 100 or, preferably, 10 nanograms of purified compound, for both plant and human body fluid samples. The LC-MSⁿ and NMR data generated will be used for algorithm development and tools for automated metabolite detection. For more Metabolite Identification project descriptions click here.		Life Sciences Momentum NGI The Hague, 23 November 2010 Johan Westerhuis receives EAS Award Amsterdam, March 2010 30th ISPPP - Call for Papers Bologna, Italy, 6-8 September 2010 NGI sponsors Postdoc Retreat The Hague, 21-23 April 2010 Pre-Seed Grant NGI The Hague, January 2010 Metabolomics in Nature's vision 2020 Nature Magazine 7 January 2010 Metabolomics receives first ever Impact Factor Rating UK 17 August 2009 NMC makes the difference NMC, Leiden Puzzling with metabolites NMC, NBIC, May 2009 First NMC paper published Amsterdam, Utrecht, January 2009 Robert Hall elected as secretary Metabolomics Society 11 December 2008

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