Literature DB >> 22331830

Absolute quantification of metabolites in breast cancer cell extracts by quantitative 2D (1) H INADEQUATE NMR.

Estelle Martineau1, Illa Tea, Serge Akoka, Patrick Giraudeau.   

Abstract

Metabolomic studies by NMR spectroscopy are increasingly employed for a variety of biomedical applications. A very standardized 1D proton NMR protocol is generally employed for data acquisition, associated with multivariate statistical tests. Even if targeted approaches have been proposed to quantify metabolites from such experiments, quantification is often made difficult by the high degree of overlap characterizing (1) H NMR spectra of biological samples. Two-dimensional spectroscopy presents a high potential for accurately measuring concentrations in complex samples, as it offers a much higher discrimination between metabolite resonances. We have recently proposed an original approach relying on the (1) H 2D INADEQUATE pulse sequence, optimized for fast quantitative analysis of complex metabolic mixtures. Here, the first application of the quantitative (1) H 2D INADEQUATE experiment to a real metabonomic study is presented. Absolute metabolite concentrations are determined for different breast cancer cell line extracts, by a standard addition procedure. The protocol is characterized by high analytical performances (accuracy better than 1%, excellent linearity), even if it is affected by relatively long acquisition durations (15 min to 1 h per spectrum). It is applied to three different cell lines, expressing different hormonal and tyrosine kinase receptors. The absolute concentrations of 15 metabolites are determined, revealing significant differences between cell lines. The metabolite concentrations measured are in good agreement with previous studies regarding metabolic profile changes of breast cancer. While providing a high degree of discrimination, this methodology offers a powerful tool for the determination of relevant biomarkers.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22331830     DOI: 10.1002/nbm.1816

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  12 in total

1.  Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics.

Authors:  Baptiste Féraud; Justine Leenders; Estelle Martineau; Patrick Giraudeau; Bernadette Govaerts; Pascal de Tullio
Journal:  Metabolomics       Date:  2019-04-16       Impact factor: 4.290

Review 2.  Multidimensional approaches to NMR-based metabolomics.

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

3.  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

4.  The Breast Cancer to Bone (B2B) Metastases Research Program: a multi-disciplinary investigation of bone metastases from breast cancer.

Authors:  Nigel T Brockton; Stephanie J Gill; Stephanie L Laborge; Alexander H G Paterson; Linda S Cook; Hans J Vogel; Carrie S Shemanko; David A Hanley; Anthony M Magliocco; Christine M Friedenreich
Journal:  BMC Cancer       Date:  2015-07-10       Impact factor: 4.430

Review 5.  Two dimensional NMR spectroscopic approaches for exploring plant metabolome: A review.

Authors:  Engy A Mahrous; Mohamed A Farag
Journal:  J Adv Res       Date:  2014-10-18       Impact factor: 10.479

Review 6.  NMR Techniques in Metabolomic Studies: A Quick Overview on Examples of Utilization.

Authors:  Joanna Kruk; Marek Doskocz; Elżbieta Jodłowska; Anna Zacharzewska; Joanna Łakomiec; Kornelia Czaja; Jacek Kujawski
Journal:  Appl Magn Reson       Date:  2016-11-02       Impact factor: 0.831

7.  Translational Metabolomics: Current Challenges and Future Opportunities.

Authors:  Farhana R Pinu; Seyed Ali Goldansaz; Jacob Jaine
Journal:  Metabolites       Date:  2019-06-06

8.  Evaluation of MDA-MB-468 Cell Culture Media Analysis in Predicting Triple-Negative Breast Cancer Patient Sera Metabolic Profiles.

Authors:  Wojciech Wojtowicz; Anna Wróbel; Karolina Pyziak; Radosław Tarkowski; Alicja Balcerzak; Marek Bębenek; Piotr Młynarz
Journal:  Metabolites       Date:  2020-04-27

Review 9.  Ultrafast 2D NMR: an emerging tool in analytical spectroscopy.

Authors:  Patrick Giraudeau; Lucio Frydman
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2014       Impact factor: 10.745

10.  Mass spectrometry-based quantitative metabolomics revealed a distinct lipid profile in breast cancer patients.

Authors:  Yunping Qiu; Bingsen Zhou; Mingming Su; Sarah Baxter; Xiaojiao Zheng; Xueqing Zhao; Yun Yen; Wei Jia
Journal:  Int J Mol Sci       Date:  2013-04-12       Impact factor: 5.923

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