Quantitative Profiling

Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research

Type of publication: 
Matching Publication
Authors: 
A. Scalbert, L. Brennan, O. Fiehn, T. Hankemeier, B.S. Kristal, B. van Ommen, E. Pujos-Guillot, E. Verheij, D. Wishart, S. Wopereis
Authors from the NMC: 
Thomas Hankemeier
Ben van Ommen
Published in: 
Metabolomics
Date of publication: 
2009/12
Link to publication: 
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2794347/pdf/11306_2009_Article_168.p…
Status of the publication: 
Published/accepted
Theme: 
Quantitative profiling
Theme: 
Quantitative Profiling
Pages: 
2009; 5 (4): 435-458
DOI: 
10.1007/s11306-009-0168-0
Publication data (text): 
2009

Higher mass loadability in comprehensive two-dimensional gas chromatography-mass spectrometry for improved analytical performance in metabolomics analysis

Type of publication: 
Matching Publication
Authors: 
M.M. Koek, B. Muilwijk, L.L.P. van Stee, T. Hankemeier
Authors from the NMC: 
Thomas Hankemeier
Published in: 
Journal of Chromatography A
Date of publication: 
2008/04
Link to publication: 
http://www.sciencedirect.com/science/article/pii/S0021967307021115
Status of the publication: 
Published/accepted
Theme: 
Quantitative profiling

A major challenge in metabolomics analysis is the accurate quantification of metabolites in the presence of (extremely) high abundant metabolites. Quantification of metabolites at low concentrations can be complicated by co-elution and/or peak distortion when these metabolites elute close to high abundant metabolites. To increase the separation efficiency a comprehensive two-dimensional gas chromatographic-mass spectrometric method (GC x GC-MS) was set up, in which a polar first dimension column and an apolar second dimension column were used to maximize the peak capacity.

Theme: 
Quantitative Profiling
Pages: 
2008; 1186 (1-2): 420-429
DOI: 
10.1016/j.chroma.2007.11.107
Publication data (text): 
2008

Feasibility of electrodialysis as a fast and selective sample preparation method for the profiling of low-abundant peptides in biofluids

Type of publication: 
Matching Publication
Authors: 
J.J. Kamphorst, U.R. Tjaden, R. van der Heijden, J. DeGroot, J. van der Greef, T. Hankemeier
Authors from the NMC: 
Jan van der Greef
Thomas Hankemeier
Published in: 
Electrophoresis
Date of publication: 
2009/07
Link to publication: 
http://onlinelibrary.wiley.com/doi/10.1002/elps.200800500/pdf
Status of the publication: 
Published/accepted
Theme: 
Quantitative profiling
Theme: 
Quantitative Profiling
Pages: 
2009; 30 (13): 2284-2292
DOI: 
10.1002/elps.200800500
Publication data (text): 
2009

Equating, or correction for between-block effects with application to body fluid LC-MS and NMR metabolomics data sets

Type of publication: 
Matching Publication
Authors: 
H.H. Draisma, T.H. Reijmers, F.M. van der Kloet, I. Bobeldijk-Pastorova, E. Spies-Faber, J.T. Vogels, J.J. Meulman, D.I. Boomsma, J. van der Greef, T. Hankemeier
Authors from the NMC: 
Theo Reijmers
Frans van der Kloet
Jan van der Greef
Thomas Hankemeier
Published in: 
Analytical Chemistry
Date of publication: 
2010/01
Link to publication: 
http://pubs.acs.org/doi/pdf/10.1021/ac902346a
Status of the publication: 
Published/accepted
Theme: 
Quantitative profiling
Theme: 
Quantitative Profiling
Pages: 
2010; 82 (3): 1039–1046
DOI: 
10.1021/ac902346a

Quantitative profiling

Type of theme: 
Core
Short description: 
The aim of Quantitative Profiling is to develop a generation of metabolomics platforms inspired by biology and driven by technological opportunities. Platforms for phosphopeptide, oxy-lipid and isoprostane analysis have been developed and validated and are being applied to urgent biological questions related to chronic inflammatory disorders, regulation of life span and oxidative stress.

The aim of the NMC Quantitative Profiling (QP) Theme is to develop a new generation of metabolomics platforms inspired by biology and driven by technological opportunities. Two groups of projects can be distinguished:

Theme leader: 
Hans-Gerd Janssen
Theme: 
Quantitative Profiling