Literature DB >> 19588932

13C isotope-labeled metabolomes allowing for improved compound annotation and relative quantification in liquid chromatography-mass spectrometry-based metabolomic research.

Patrick Giavalisco1, Karin Köhl, Jan Hummel, Bettina Seiwert, Lothar Willmitzer.   

Abstract

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.

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Year:  2009        PMID: 19588932     DOI: 10.1021/ac900979e

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  63 in total

1.  Production of isotopically labeled standards from a uniformly labeled precursor for quantitative volatile metabolomic studies.

Authors:  Pilar Gómez-Cortés; J Thomas Brenna; Gavin L Sacks
Journal:  Anal Chem       Date:  2012-06-04       Impact factor: 6.986

2.  New technologies for 21st century plant science.

Authors:  David W Ehrhardt; Wolf B Frommer
Journal:  Plant Cell       Date:  2012-02-24       Impact factor: 11.277

Review 3.  Dealing with the unknown: metabolomics and metabolite atlases.

Authors:  Benjamin P Bowen; Trent R Northen
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-12       Impact factor: 3.109

4.  Combining genetic diversity, informatics and metabolomics to facilitate annotation of plant gene function.

Authors:  Takayuki Tohge; Alisdair R Fernie
Journal:  Nat Protoc       Date:  2010-06-10       Impact factor: 13.491

Review 5.  Development of FRET biosensors for mammalian and plant systems.

Authors:  Danny Hamers; Laura van Voorst Vader; Jan Willem Borst; Joachim Goedhart
Journal:  Protoplasma       Date:  2013-12-12       Impact factor: 3.356

6.  Isotope Labeling-Assisted Evaluation of Hydrophilic and Hydrophobic Liquid Chromatograph-Mass Spectrometry for Metabolomics Profiling.

Authors:  Boer Xie; Yuanyuan Wang; Drew R Jones; Kaushik Kumar Dey; Xusheng Wang; Yuxin Li; Ji-Hoon Cho; Timothy I Shaw; Haiyan Tan; Junmin Peng
Journal:  Anal Chem       Date:  2018-06-25       Impact factor: 6.986

Review 7.  Cell type-specific transcriptional profiling: implications for metabolite profiling.

Authors:  Eric D Rogers; Terry Jackson; Arieh Moussaieff; Asaph Aharoni; Philip N Benfey
Journal:  Plant J       Date:  2012-04       Impact factor: 6.417

8.  Toward the storage metabolome: profiling the barley vacuole.

Authors:  Takayuki Tohge; Magali Schnell Ramos; Adriano Nunes-Nesi; Marek Mutwil; Patrick Giavalisco; Dirk Steinhauser; Maja Schellenberg; Lothar Willmitzer; Staffan Persson; Enrico Martinoia; Alisdair R Fernie
Journal:  Plant Physiol       Date:  2011-09-26       Impact factor: 8.340

9.  A plant/fungal-type phosphoenolpyruvate carboxykinase located in the parasite mitochondrion ensures glucose-independent survival of Toxoplasma gondii.

Authors:  Richard Nitzsche; Özlem Günay-Esiyok; Maximilian Tischer; Vyacheslav Zagoriy; Nishith Gupta
Journal:  J Biol Chem       Date:  2017-07-18       Impact factor: 5.157

10.  Assessment of metabolome annotation quality: a method for evaluating the false discovery rate of elemental composition searches.

Authors:  Fumio Matsuda; Yoko Shinbo; Akira Oikawa; Masami Yokota Hirai; Oliver Fiehn; Shigehiko Kanaya; Kazuki Saito
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

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