Literature DB >> 26624790

SpinCouple: Development of a Web Tool for Analyzing Metabolite Mixtures via Two-Dimensional J-Resolved NMR Database.

Jun Kikuchi1,2,3, Yuuri Tsuboi1, Keiko Komatsu1, Masahiro Gomi1, Eisuke Chikayama1,4, Yasuhiro Date1,2.   

Abstract

A new Web-based tool, SpinCouple, which is based on the accumulation of a two-dimensional (2D) (1)H-(1)H J-resolved NMR database from 598 metabolite standards, has been developed. The spectra include both J-coupling and (1)H chemical shift information; those are applicable to a wide array of spectral annotation, especially for metabolic mixture samples that are difficult to label through the attachment of (13)C isotopes. In addition, the user-friendly application includes an absolute-quantitative analysis tool. Good agreement was obtained between known concentrations of 20-metabolite mixtures versus the calibration curve-based quantification results obtained from 2D-Jres spectra. We have examined the web tool availability using nine series of biological extracts, obtained from animal gut and waste treatment microbiota, fish, and plant tissues. This web-based tool is publicly available via http://emar.riken.jp/spincpl.

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Year:  2015        PMID: 26624790     DOI: 10.1021/acs.analchem.5b02311

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


  19 in total

1.  Comprehensive Metabolite Identification Strategy Using Multiple Two-Dimensional NMR Spectra of a Complex Mixture Implemented in the COLMARm Web Server.

Authors:  Kerem Bingol; Da-Wei Li; Bo Zhang; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2016-12-06       Impact factor: 6.986

Review 2.  Emerging new strategies for successful metabolite identification in metabolomics.

Authors:  Kerem Bingol; Lei Bruschweiler-Li; Dawei Li; Bo Zhang; Mouzhe Xie; Rafael Brüschweiler
Journal:  Bioanalysis       Date:  2016-02-26       Impact factor: 2.681

Review 3.  Knowns and unknowns in metabolomics identified by multidimensional NMR and hybrid MS/NMR methods.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Curr Opin Biotechnol       Date:  2016-08-20       Impact factor: 9.740

4.  Bacterial Substrate Transformation Tracked by Stable-Isotope-Guided NMR Metabolomics: Application in a Natural Aquatic Microbial Community.

Authors:  Mario Uchimiya; Yuuri Tsuboi; Kengo Ito; Yasuhiro Date; Jun Kikuchi
Journal:  Metabolites       Date:  2017-10-19

5.  Advanced solvent signal suppression for the acquisition of 1D and 2D NMR spectra of Scotch Whisky.

Authors:  Will Kew; Nicholle G A Bell; Ian Goodall; Dušan Uhrín
Journal:  Magn Reson Chem       Date:  2017-06-29       Impact factor: 2.447

6.  Trans-omics approaches used to characterise fish nutritional biorhythms in leopard coral grouper (Plectropomus leopardus).

Authors:  Miyuki Mekuchi; Kenji Sakata; Tomofumi Yamaguchi; Masahiko Koiso; Jun Kikuchi
Journal:  Sci Rep       Date:  2017-08-24       Impact factor: 4.379

7.  Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet.

Authors:  Yuka Shiokawa; Yasuhiro Date; Jun Kikuchi
Journal:  Sci Rep       Date:  2018-02-21       Impact factor: 4.379

8.  Meta-Analysis of Fecal Microbiota and Metabolites in Experimental Colitic Mice during the Inflammatory and Healing Phases.

Authors:  Toshifumi Osaka; Eri Moriyama; Shunichi Arai; Yasuhiro Date; Junji Yagi; Jun Kikuchi; Satoshi Tsuneda
Journal:  Nutrients       Date:  2017-12-06       Impact factor: 5.717

9.  Exploring the Impact of Food on the Gut Ecosystem Based on the Combination of Machine Learning and Network Visualization.

Authors:  Hideaki Shima; Shizuka Masuda; Yasuhiro Date; Amiu Shino; Yuuri Tsuboi; Mizuho Kajikawa; Yoshihiro Inoue; Taisei Kanamoto; Jun Kikuchi
Journal:  Nutrients       Date:  2017-12-01       Impact factor: 5.717

10.  Multi-omics analysis on an agroecosystem reveals the significant role of organic nitrogen to increase agricultural crop yield.

Authors:  Yasunori Ichihashi; Yasuhiro Date; Amiu Shino; Tomoko Shimizu; Arisa Shibata; Kie Kumaishi; Fumiaki Funahashi; Kenji Wakayama; Kohei Yamazaki; Akio Umezawa; Takumi Sato; Makoto Kobayashi; Mayu Kamimura; Miyako Kusano; Fang-Sik Che; Martin O Brien; Keitaro Tanoi; Makoto Hayashi; Ryuhei Nakamura; Ken Shirasu; Jun Kikuchi; Naoto Nihei
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-08       Impact factor: 11.205

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