Literature DB >> 22540339

Carbon backbone topology of the metabolome of a cell.

Kerem Bingol1, Fengli Zhang, Lei Bruschweiler-Li, Rafael Brüschweiler.   

Abstract

The complex metabolic makeup of a biological system, such as a cell, is a key determinant of its biological state providing unique insights into its function. Here we characterize the metabolome of a cell by a novel homonuclear (13)C 2D NMR approach applied to a nonfractionated uniformly (13)C-enriched lysate of E. coli cells and determine de novo their carbon backbone topologies that constitute the "topolome". A protocol was developed, which first identifies traces in a constant-time (13)C-(13)C TOCSY NMR spectrum that are unique for individual mixture components and then assembles for each trace the corresponding carbon-bond topology network by consensus clustering. This led to the determination of 112 topologies of unique metabolites from a single sample. The topolome is dominated by carbon topologies of carbohydrates (34.8%) and amino acids (45.5%) that can constitute building blocks of more complex structures.

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Year:  2012        PMID: 22540339      PMCID: PMC3591465          DOI: 10.1021/ja3033058

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  14 in total

1.  A novel strategy for the assignment of side-chain resonances in completely deuterated large proteins using 13C spectroscopy.

Authors:  Alexander Eletsky; Osvaldo Moreira; Helena Kovacs; Konstantin Pervushin
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Review 2.  Mass spectrometry-based metabolomics.

Authors:  Katja Dettmer; Pavel A Aronov; Bruce D Hammock
Journal:  Mass Spectrom Rev       Date:  2007 Jan-Feb       Impact factor: 10.946

3.  Robust deconvolution of complex mixtures by covariance TOCSY spectroscopy.

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4.  Web server based complex mixture analysis by NMR.

Authors:  Steven L Robinette; Fengli Zhang; Lei Brüschweiler-Li; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2008-04-19       Impact factor: 6.986

5.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

6.  Analysis of carbohydrates by mass spectrometry.

Authors:  Kudzai E Mutenda; Rune Matthiesen
Journal:  Methods Mol Biol       Date:  2007

7.  Tracer studies with crude U-13C-lipid mixtures. Biosynthesis of the lipase inhibitor lipstatin.

Authors:  W Eisenreich; E Kupfer; W Weber; A Bacher
Journal:  J Biol Chem       Date:  1997-01-10       Impact factor: 5.157

8.  Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli.

Authors:  Bryson D Bennett; Elizabeth H Kimball; Melissa Gao; Robin Osterhout; Stephen J Van Dien; Joshua D Rabinowitz
Journal:  Nat Chem Biol       Date:  2009-06-28       Impact factor: 15.040

9.  NMR in metabolomics and natural products research: two sides of the same coin.

Authors:  Steven L Robinette; Rafael Brüschweiler; Frank C Schroeder; Arthur S Edison
Journal:  Acc Chem Res       Date:  2011-09-02       Impact factor: 22.384

10.  BioMagResBank.

Authors:  Eldon L Ulrich; Hideo Akutsu; Jurgen F Doreleijers; Yoko Harano; Yannis E Ioannidis; Jundong Lin; Miron Livny; Steve Mading; Dimitri Maziuk; Zachary Miller; Eiichi Nakatani; Christopher F Schulte; David E Tolmie; R Kent Wenger; Hongyang Yao; John L Markley
Journal:  Nucleic Acids Res       Date:  2007-11-04       Impact factor: 16.971

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  23 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
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Review 2.  Can NMR solve some significant challenges in metabolomics?

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  J Magn Reson       Date:  2015-08-18       Impact factor: 2.229

Review 3.  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

4.  TOCCATA: a customized carbon total correlation spectroscopy NMR metabolomics database.

Authors:  Kerem Bingol; Fengli Zhang; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2012-10-11       Impact factor: 6.986

Review 5.  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

Review 6.  Non-Uniform and Absolute Minimal Sampling for High-Throughput Multidimensional NMR Applications.

Authors:  Dawei Li; Alexandar L Hansen; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  Chemistry       Date:  2018-06-19       Impact factor: 5.236

7.  High-resolution homonuclear 2D NMR of carbon-13 enriched metabolites and their mixtures.

Authors:  Fengli Zhang; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  J Magn Reson       Date:  2012-09-24       Impact factor: 2.229

Review 8.  Multidimensional approaches to NMR-based metabolomics.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2013-11-22       Impact factor: 6.986

9.  Quantitative analysis of metabolic mixtures by two-dimensional 13C constant-time TOCSY NMR spectroscopy.

Authors:  Kerem Bingol; Fengli Zhang; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2013-06-17       Impact factor: 6.986

10.  Development of a ¹³C-optimized 1.5-mm high temperature superconducting NMR probe.

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Journal:  J Magn Reson       Date:  2013-07-29       Impact factor: 2.229

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