TAILIEUCHUNG - Báo cáo khoa học: A metabolomics perspective of human brain tumours

During the past decade or so, a wealth of information about metabolites in various human brain tumour preparations (cultured cells, tissue specimens, tumours in vivo) has been accumulated by global profiling tools. Such hol-istic approaches to cellular biochemistry have been termed metabolomics. | MINIREVIEW A metabolomics perspective of human brain tumours Julian L. Griffin1 and Risto A. Kauppinen2 1 Department of Biochemistry University of Cambridge UK 2 Schoolof Sport and Exercise Sciences University of Birmingham Edgbaston UK Keywords brain metabolomics NMR spectroscopy pattern recognition tumour Correspondence J. Griffin Department of Biochemistry University of Cambridge Tennis Court Road Cambridge CB2 1QW UK Fax 44 1223 333345 Tel 44 1223 764 922 E-mail jlg40@ Received 19 October 2006 revised 7 December 2006 accepted 3 January 2006 During the past decade or so a wealth of information about metabolites in various human brain tumour preparations cultured cells tissue specimens tumours in vivo has been accumulated by global profiling tools. Such holistic approaches to cellular biochemistry have been termed metabolomics. Inherent and specific metabolic profiles of major brain tumour cell types as determined by proton nuclear magnetic resonance spectroscopy 1H MRS have also been used to define metabolite phenotypes in tumours in vivo. This minireview examines the recent advances in the field of human brain tumour metabolomics research including advances in MRS and mass spectrometry technologies and data analysis. doi Introduction The global analysis of metabolites such as by mass spectrometry MS and high resolution multinuclear nuclear magnetic resonance spectroscopy MRS places cells tissues or organisms in biological context by defining metabolic phenotypes 1 2 . Such metabolo-mic approaches are being used to profile cell lines tumours and systemic metabolism in human cancer tissue ex vivo and in vivo and will provide another functional genomic tool for cancer research 3 . Whilst -omic technologies are complementary to one another the metabolome provides specific advantages when compared with the transcriptome and proteome. For in vitro purposes the work is cheap on a per sample basis. Furthermore being .

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