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.