Literature DB >> 21208007

Evaluation of a semipolar solvent system as a step toward heteronuclear multidimensional NMR-based metabolomics for 13C-labeled bacteria, plants, and animals.

Yasuyo Sekiyama1, Eisuke Chikayama, Jun Kikuchi.   

Abstract

Nuclear magnetic resonance (NMR) has become a key technology in metabolomics, with the use of stable isotope labeling and advanced heteronuclear multidimensional NMR techniques. In this paper, we focus on the evaluation of extraction solvents to improve NMR-based methodologies for metabolomics. Line broadening is a serious barrier to detecting signals and the annotation of metabolites using multidimensional NMR. We evaluated a series of NMR solvents for easy and versatile single-step extraction using the (13)C-labeled photosynthetic bacterium Rhodobacter sphaeroides, which shows pronounced broadening of NMR signals. The performance of each extraction solvent was judged using 2D (1)H-(13)C heteronuclear single quantum coherence (HSQC) spectra, considering three metrics: (1) distribution of the line width at half height, (2) number of observed signals, and (3) the total observed signal intensity. Considering the total rank values for the three metrics, we chose methanol-d(4) (MeOD) as a semipolar extraction solvent that can sufficiently sharpen the line width and affords better-quality NMR spectra. We also evaluated the series of extraction solvents by means of inductively coupled plasma optical emission spectroscopy (ICP-OES) based ionomics approach. It was also indicated that MeOD is useful for excluding paramagnetic ions as well as macromolecules in an easy single-step extraction. MeOD extraction also appeared to be effective for other bacterial and animal samples. An additional advantage of this semipolar solvent is that it supplements the aqueous (polar) buffer system reported by many groups. The flexible, appropriate application of polar and semipolar extraction should contribute to the large-scale analysis of metabolites.

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Year:  2011        PMID: 21208007     DOI: 10.1021/ac102097u

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


  18 in total

1.  Concentration of metabolites from low-density planktonic communities for environmental metabolomics using nuclear magnetic resonance spectroscopy.

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2.  Deconvolution of chemical mixtures with high complexity by NMR consensus trace clustering.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2011-08-30       Impact factor: 6.986

3.  Green Chemistry Preservation and Extraction of Biospecimens for Multi-omic Analyses.

Authors:  Andrey P Tikunov; Jeremiah D Tipton; Timothy J Garrett; Sachi V Shinde; Hong Jin Kim; David A Gerber; Laura E Herring; Lee M Graves; Jeffrey M Macdonald
Journal:  Methods Mol Biol       Date:  2022

4.  ECOMICS: a web-based toolkit for investigating the biomolecular web in ecosystems using a trans-omics approach.

Authors:  Yoshiyuki Ogata; Eisuke Chikayama; Yusuke Morioka; R Craig Everroad; Amiu Shino; Akihiro Matsushima; Hideaki Haruna; Shigeharu Moriya; Tetsuro Toyoda; Jun Kikuchi
Journal:  PLoS One       Date:  2012-02-01       Impact factor: 3.240

5.  Semiautomated device for batch extraction of metabolites from tissue samples.

Authors:  James J Ellinger; Dan C Miller; Ian A Lewis; John L Markley
Journal:  Anal Chem       Date:  2012-02-07       Impact factor: 6.986

6.  Multidimensional High-Resolution Magic Angle Spinning and Solution-State NMR Characterization of (13)C-labeled Plant Metabolites and Lignocellulose.

Authors:  Tetsuya Mori; Yuuri Tsuboi; Nobuhiro Ishida; Nobuyuki Nishikubo; Taku Demura; Jun Kikuchi
Journal:  Sci Rep       Date:  2015-07-06       Impact factor: 4.379

7.  Differences in Cellulosic Supramolecular Structure of Compositionally Similar Rice Straw Affect Biomass Metabolism by Paddy Soil Microbiota.

Authors:  Tatsuki Ogura; Yasuhiro Date; Jun Kikuchi
Journal:  PLoS One       Date:  2013-06-19       Impact factor: 3.240

8.  Identification of Reliable Components in Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS): a Data-Driven Approach across Metabolic Processes.

Authors:  Hiromi Motegi; Yuuri Tsuboi; Ayako Saga; Tomoko Kagami; Maki Inoue; Hideaki Toki; Osamu Minowa; Tetsuo Noda; Jun Kikuchi
Journal:  Sci Rep       Date:  2015-11-04       Impact factor: 4.379

9.  Metabolomic profiling of 13C-labelled cellulose digestion in a lower termite: insights into gut symbiont function.

Authors:  Gaku Tokuda; Yuuri Tsuboi; Kumiko Kihara; Seikou Saitou; Sigeharu Moriya; Nathan Lo; Jun Kikuchi
Journal:  Proc Biol Sci       Date:  2014-08-22       Impact factor: 5.349

10.  Chemical profiling of Jatropha tissues under different torrefaction conditions: application to biomass waste recovery.

Authors:  Taiji Watanabe; Amiu Shino; Kinya Akashi; Jun Kikuchi
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

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