Literature DB >> 23232331

MetaboID: a graphical user interface package for assignment of 1H NMR spectra of bodyfluids and tissues.

Neil MacKinnon1, Bagganahalli S Somashekar, Pratima Tripathi, Wencheng Ge, Thekkelnaycke M Rajendiran, Arul M Chinnaiyan, Ayyalusamy Ramamoorthy.   

Abstract

Nuclear magnetic resonance based measurements of small molecule mixtures continues to be confronted with the challenge of spectral assignment. While multi-dimensional experiments are capable of addressing this challenge, the imposed time constraint becomes prohibitive, particularly with the large sample sets commonly encountered in metabolomic studies. Thus, one-dimensional spectral assignment is routinely performed, guided by two-dimensional experiments on a selected sample subset; however, a publicly available graphical interface for aiding in this process is currently unavailable. We have collected spectral information for 360 unique compounds from publicly available databases including chemical shift lists and authentic full resolution spectra, supplemented with spectral information for 25 compounds collected in-house at a proton NMR frequency of 900 MHz. This library serves as the basis for MetaboID, a Matlab-based user interface designed to aid in the one-dimensional spectral assignment process. The tools of MetaboID were built to guide resonance assignment in order of increasing confidence, starting from cursory compound searches based on chemical shift positions to analysis of authentic spike experiments. Together, these tools streamline the often repetitive task of spectral assignment. The overarching goal of the integrated toolbox of MetaboID is to centralize the one dimensional spectral assignment process, from providing access to large chemical shift libraries to providing a straightforward, intuitive means of spectral comparison. Such a toolbox is expected to be attractive to both experienced and new metabolomic researchers as well as general complex mixture analysts.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23232331      PMCID: PMC3529807          DOI: 10.1016/j.jmr.2012.11.008

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  21 in total

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Review 5.  Two-dimensional J-resolved NMR spectroscopy: review of a key methodology in the metabolomics toolbox.

Authors:  Christian Ludwig; Mark R Viant
Journal:  Phytochem Anal       Date:  2010 Jan-Feb       Impact factor: 3.373

6.  Multivariate modeling and prediction of breast cancer prognostic factors using MR metabolomics.

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  2 in total

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