Literature DB >> 17708672

Stable isotope assisted assignment of elemental compositions for metabolomics.

Adrian D Hegeman1, Christopher F Schulte, Qiu Cui, Ian A Lewis, Edward L Huttlin, Hamid Eghbalnia, Amy C Harms, Eldon L Ulrich, John L Markley, Michael R Sussman.   

Abstract

Assignment of individual compound identities within mixtures of thousands of metabolites in biological extracts is a major challenge for metabolomic technology. Mass spectrometry offers high sensitivity over a large dynamic range of abundances and molecular weights but is limited in its capacity to discriminate isobaric compounds. In this article, we have extended earlier studies using isotopic labeling for elemental composition elucidation (Rodgers, R. P.; Blumer, E. N.; Hendrickson, C. L.; Marshall, A. G. J. Am. Soc. Mass Spectrom. 2000, 11, 835-40) to limit the formulas consistent with any exact mass measurement by comparing observations of metabolites extracted from Arabidopsis thaliana plants grown with (I) (12)C and (14)N (natural abundance), (II) (12)C and (15)N, (III) (13)C and (14)N, or (IV) (13)C and (15)N. Unique elemental compositions were determined over a dramatically enhanced mass range by analyzing exact mass measurement data from the four extracts using two methods. In the first, metabolite masses were matched with a library of 11,000 compounds known to be present in living cells by using values calculated for each of the four isotopic conditions. In the second method, metabolite masses were searched against masses calculated for a constrained subset of possible atomic combinations in all four isotopic regimes. In both methods, the lists of elemental compositions from each labeling regime were compared to find common formulas with similar retention properties by HPLC in at least three of the four regimes. These results demonstrate that metabolic labeling can be used to provide additional constraints for higher confidence formula assignments over an extended mass range.

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Year:  2007        PMID: 17708672     DOI: 10.1021/ac070346t

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


  32 in total

Review 1.  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

2.  DeltaMS: a tool to track isotopologues in GC- and LC-MS data.

Authors:  Tim U H Baumeister; Nico Ueberschaar; Wolfgang Schmidt-Heck; J Frieder Mohr; Michael Deicke; Thomas Wichard; Reinhard Guthke; Georg Pohnert
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

Review 3.  Applications of NMR spectroscopy to systems biochemistry.

Authors:  Teresa W-M Fan; Andrew N Lane
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2016-02-06       Impact factor: 9.795

4.  Peak Annotation and Verification Engine for Untargeted LC-MS Metabolomics.

Authors:  Lin Wang; Xi Xing; Li Chen; Lifeng Yang; Xiaoyang Su; Herschel Rabitz; Wenyun Lu; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2019-01-10       Impact factor: 6.986

5.  Van Krevelen diagram visualization of high resolution-mass spectrometry metabolomics data with OpenVanKrevelen.

Authors:  Stephen A Brockman; Eric V Roden; Adrian D Hegeman
Journal:  Metabolomics       Date:  2018-03-06       Impact factor: 4.290

Review 6.  Metabolomics in drug target discovery.

Authors:  J D Rabinowitz; J G Purdy; L Vastag; T Shenk; E Koyuncu
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2011-11-23

7.  Tracing the Biotransformation of Polycyclic Aromatic Hydrocarbons in Contaminated Soil Using Stable Isotope-Assisted Metabolomics.

Authors:  Joaquim Vila; Miao Yu; Zhenyu Tian; Wanda Bodnar; Michael D Aitken
Journal:  Environ Sci Technol Lett       Date:  2018-01-02

8.  Riboneogenesis in yeast.

Authors:  Michelle F Clasquin; Eugene Melamud; Alexander Singer; Jessica R Gooding; Xiaohui Xu; Aiping Dong; Hong Cui; Shawn R Campagna; Alexei Savchenko; Alexander F Yakunin; Joshua D Rabinowitz; Amy A Caudy
Journal:  Cell       Date:  2011-06-10       Impact factor: 41.582

9.  Matching isotopic distributions from metabolically labeled samples.

Authors:  Sean McIlwain; David Page; Edward L Huttlin; Michael R Sussman
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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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