13C isotope-labeled metabolomes allowing for improved compound annotation and relative quantification in liquid chromatography-mass spectrometry-based metabolomic research.
Metabolomics is rapidly becoming an integral part of many life science studies ranging from disease diagnostics to systems biology. However, a number of problems such as the discrimination of biological from non-biological signals, efficient compound annotation, and reliable quantification are still not satisfactorily solved in untargeted LC-MS-based metabolomics research. Extending our previous work on direct infusion-based metabolomics, we here describe a (13)C isotope labeling strategy in combination with an Ultra Performance Liquid Chromatography Fourier Transform Ion Cyclotron Resonance Mass Spectrometry-based approach (UPLC-FTICR MS) which provides a technological platform offering solutions to a number of the above-mentioned problems. We further demonstrate that the use of a fully labeled metabolome is not only beneficial for high end mass spectrometers, such as that used in this study but also provides a considerable improvement to every other mass spectrometry-based metabolomic platform.
Giavalisco
Patrick
P
Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany. giavalisco@mpimp-golm.mpg.de
Köhl
Karin
K
Hummel
Jan
J
Seiwert
Bettina
B
Willmitzer
Lothar
L
D017360:Arabidopsis / Q000254:growth & development / Q000378:metabolism; D029681:Arabidopsis Proteins / Q000032:analysis* / Q000378:metabolism; D002250:Carbon Radioisotopes; D002853:Chromatography, Liquid; D005583:Fourier Analysis; D055432:Metabolomics / Q000379:methods*; D036103:Nanotechnology; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods*
D029681:Arabidopsis Proteins; D002250:Carbon Radioisotopes