Literature DB >> 20969720

An introduction to biological nuclear magnetic resonance spectroscopy.

John H F Bothwell1, Julian L Griffin.   

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is one of the most powerful analytical techniques available to biology. This review is an introduction to the potential of this method and is aimed at readers who have little or no experience in acquiring or analyzing NMR spectra. We focus on spectroscopic applications of the magnetic resonance effect, rather than imaging ones, and explain how various aspects of the NMR phenomenon make it a versatile tool with which to address a number of biological problems. Using detailed examples, we discuss the use of (1) H NMR spectroscopy in mixture analysis and metabolomics, the use of (13) C NMR spectroscopy in tracking isotopomers and determining the flux through metabolic pathways ('fluxomics') and the use of (31) P NMR spectroscopy in monitoring ATP generation and intracellular pH homeotasis in vivo. Further examples demonstrate how NMR spectroscopy can be used to probe the physical environment of a cell by measuring diffusion and the tumbling rates of individual metabolites and how it can determine macromolecular structures by measuring the bonds and distances which separate individual atoms. We finish by outlining some of the key challenges which remain in NMR spectroscopy and we highlight how recent advances-such as increased magnet field strengths, cryogenic cooling, microprobes and hyperpolarisation-are opening new avenues for today's biological NMR spectroscopists.
© 2010 The Authors. Biological Reviews © 2010 Cambridge Philosophical Society.

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Year:  2010        PMID: 20969720     DOI: 10.1111/j.1469-185X.2010.00157.x

Source DB:  PubMed          Journal:  Biol Rev Camb Philos Soc        ISSN: 0006-3231


  23 in total

Review 1.  Metabolomics as a tool for cardiac research.

Authors:  Julian L Griffin; Helen Atherton; John Shockcor; Luigi Atzori
Journal:  Nat Rev Cardiol       Date:  2011-09-20       Impact factor: 32.419

2.  Renal bioenergetics during early gram-negative mammalian sepsis and angiotensin II infusion.

Authors:  Clive N May; Ken Ishikawa; Li Wan; John Williams; R Mark Wellard; Gaby S Pell; Graeme D Jackson; Rinaldo Bellomo
Journal:  Intensive Care Med       Date:  2012-05       Impact factor: 17.440

3.  Serum and urine metabolomic fingerprinting in diagnostics of inflammatory bowel diseases.

Authors:  Tomasz Dawiskiba; Stanisław Deja; Agata Mulak; Adam Ząbek; Ewa Jawień; Dorota Pawełka; Mirosław Banasik; Agnieszka Mastalerz-Migas; Waldemar Balcerzak; Krzysztof Kaliszewski; Jan Skóra; Piotr Barć; Krzysztof Korta; Kornel Pormańczuk; Przemyslaw Szyber; Adam Litarski; Piotr Młynarz
Journal:  World J Gastroenterol       Date:  2014-01-07       Impact factor: 5.742

Review 4.  Subcellular Energetics and Metabolism: Potential Therapeutic Applications.

Authors:  Robert H Thiele
Journal:  Anesth Analg       Date:  2017-06       Impact factor: 5.108

Review 5.  Lipid metabolism emerges as a promising target for malignant glioma therapy.

Authors:  Deliang Guo; Erica Hlavin Bell; Arnab Chakravarti
Journal:  CNS Oncol       Date:  2013-05

6.  Functional Metabolomics and Chemoproteomics Approaches Reveal Novel Metabolic Targets for Anticancer Therapy.

Authors:  Chang Shao; Wenjie Lu; Haiping Hao; Hui Ye
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 7.  Perspectives in magnetic resonance: NMR in the post-FFT era.

Authors:  Sven G Hyberts; Haribabu Arthanari; Scott A Robson; Gerhard Wagner
Journal:  J Magn Reson       Date:  2014-04       Impact factor: 2.229

Review 8.  Toward new biomarkers of cardiometabolic diseases.

Authors:  Lee D Roberts; Robert E Gerszten
Journal:  Cell Metab       Date:  2013-06-13       Impact factor: 27.287

9.  Recent advances of metabolomics in plant biotechnology.

Authors:  Yozo Okazaki; Kazuki Saito
Journal:  Plant Biotechnol Rep       Date:  2011-07-29       Impact factor: 2.010

10.  Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis.

Authors:  Masahiro Sugimoto; Masato Kawakami; Martin Robert; Tomoyoshi Soga; Masaru Tomita
Journal:  Curr Bioinform       Date:  2012-03       Impact factor: 3.543

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