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Abstract #4797

Metabolite-Metabolite Correlation Maps: A Novel Method to Understand Metabolic Pathways

Basetti Madhu1, Alexandra Jauhiainen2, Masako Narita3, Simon Tavar2, Masashi Narita3, John R. Griffiths1

1Molecular Imaging, Cancer Research UK Cambridge Research Institute, Cambridge, England, United Kingdom; 2Bioinformatics, Cancer Research UK Cambridge Research Institute, Cambridge, England, United Kingdom; 3Cellular Senescence and Tumour Suppressor Lab, Cancer Research UK Cambridge Research Institute, Cambridge, England, United Kingdom


Metabolomics studies the global metabolites in a cell, tissue or organism, and plays a vital role in understanding the cellular phenotype, and novel bioinformatic methods such as metabolite-metabolite correlation analysis are being developed to analyse the data. 1H NMR is a useful method for obtaining metabolic profiles from cell or tissue extracts. We have recently developed a novel method of metabolite-metabolite correlation maps derived from 1H NMR based metabolomics data. These correlation maps are helpful in understanding the perturbed metabolic pathways in the cells due to the gene modifications, enzymatic modulations (inhibition/over-expression), toxic and/or drug effects and nutrient supply.

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