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báo cáo khoa học: " Models of the human metabolic network: aiming to reconcile metabolomics and genomics"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Models of the human metabolic network: aiming to reconcile metabolomics and genomics | Kuchel Genome Medicine 2010 2 46 http genomemedicine.eom content 2 7 46 Genome Medicine COMMENTARY L__ Models of the human metabolic network aiming to reconcile metabolomics and genomics Philip W Kuchel Abstract The metabolic syndrome inborn errors of metabolism and drug-induced changes to metabolic states all bring about a seemingly bewildering array of alterations in metabolite concentrations these often occur in tissues and cells that are distant from those containing the primary biochemical lesion. How is it possible to collect sufficient biochemical information from a patient to enable us to work backwards and pinpoint the primary lesion and possibly treat it in this whole human metabolic network Potential analyses have benefited from modern methods such as ultra-high-pressure liquid chromatography mass spectrometry nuclear magnetic resonance spectroscopy and more. A yet greater challenge is the prediction of outcomes of possible modern therapies using drugs and genetic engineering. This exposes the notion of viewing metabolism from a completely different perspective with focus on the enzymes regulators and structural elements that are encoded by genes that specify the amino acid sequences and hence encode the various interactions be they regulatory or catalytic. The mainstream view of metabolism is being challenged so we discuss here the reconciling of traditionally quantitative chemocentric metabolism with the seemingly parameter-free genomic description and vice versa. Clash of giants relative complexity of metabolic pathways and genomes There are approximately ten times as many expressed genes proteins as there are different metabolites in most cells. Biochemical analysis of cells has been the art of the possible you know about what you can detect. In the past assays have largely focused on small organic bio Correspondence philip.kuchel@sydney.edu.au School of Molecular Bioscience University of Sydney NSW 2006 Australia Centre for Mathematical .