Quantitative Metabolomics Using ID-MS View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

S. Aljoscha Wahl , Reza Maleki Seifar , Angela ten Pierick , Cor Ras , Jan C. van Dam , Joseph J. Heijnen , Walter M. van Gulik

ABSTRACT

Quantitative intracellular metabolite measurements are essential for systems biology and modeling of cellular metabolism. The MS-based quantification is error prone because (1) several sampling processing steps have to be performed, (2) the sample contains a complex mixture of partly compounds with the same mass and similar retention time, and (3) especially salts influence the ionization efficiency. Therefore internal standards are required, best for each measured compound. The use of labeled biomass, (13)C extract, is a valuable tool, reducing the standard deviations of intracellular concentration measurements significantly (especially regarding technical reproducibility). Using different platforms, i.e., LC-MS and GC-MS, a large number of different metabolites can be quantified (currently about 110). More... »

PAGES

91-105

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-1170-7_6

DOI

http://dx.doi.org/10.1007/978-1-4939-1170-7_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043837231

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25178786


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