Introduction to Metabolomics

Contributors

Authors:

Gildas Le Corguillé

Cécile Canlet

last_modification Published: Nov 20, 2018

last_modification Last Updated: Jan 12, 2023

Metabolomics

.pull-left[ An archaic image of a large wheel with substances. ] .pull-right[ A cartoon of genes pointing to a genome, mRNA to a transcriptome, proteins to a proteome, and metabolites to a metabolome. All of these are connected by various lines, and finally point to function at the bottom. ]

«Quantitative measurement of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification » (Nicholson, 1999)

Definitions

Metabolomics
- Newly emerging field of ‘omics’ research
- Comprehensive and simultaneous systematic determination of metabolite levels in the metabolome and their changes over time as a consequence of stimuli
Metabolome
- Refers to the complete set of small-molecule metabolites
- Dynamic
Metabolites
- Intermediates and products of metabolism
- Examples include antibiotics, pigments, carbohydrates, fatty acids and amino acids
- Primary and secondary metabolites

Definitions

.pull-left[ Metabolo l omics .left[ Metabolic ‘fingerprints’ (unique for each type of cell or tissue) based on comprehensive quantification

i.e. comprehensive and simultaneous systematic determination of metabolite levels in a biological system (cell, tissue, fluid) ]]

.pull-right[ Metabolo n omics .left[ Description of metabolic changes

i.e. detection of disrupted metabolic pathways ]]

Metabolomics : the world of small molecules

.pull-left[ Physico-chemical diversity

Comparison with
- DNA/RNA: 4 bases
- Proteins: 20 amino acids
- Common physico-chemical properties
- Extraction/Analysis: easy automation
Metabolites
- Number ≥ 150 000 in Nature; most not identified
- Wide diversity of structures, functional groups, physico-chemical properties
- e.g. lipids, sugars, amino acids, etc.
- High turn-over rates (<sec)
- Range from 1 pM to 100 mM ]

.pull-right[ Molecular mass range Histogram comparing E. coli and S. cerevisiae and their molecular weight ranges and frequency. 80% of metabolites with mol. mass ≤ 600 (E. coli, S. cerevisiae) ]

Analytical challenge

Large pathway map with text over it reading: targeted/global, sensitity coverage. Great number of metabolites, 2.5k to 15k. Chemical diversity of metabolites, mass, pKa, polarity, volatiity. Variable concentrations. NMR vs MS. Universality, Sensitivity, Can get both structural and quantitative information. And in red in the center: The metabolome analysis relies on combinations of approaches.

Complementary analytical tools

For metabolome investigation

MS produces m/z masses, and ms/ms structure. NMR produces other spectra. A stacked bar chart compares use of ms only, nmr only, or both across years of publications.

Strategy: untargeted metabolomics

or metabolic fingerprinting

A chart shows an exposed and control group, different tissues being extracted and analysed with NMR, MS, etc. The spectra is processed to reduce the data, and multivariate statistics are done to identify metabolites like glucose, taurine, glycine, etc.

Strategy: targeted metabolomics

Qualitative and quantitative analysis

Samples are extracted, run through GC(-MS) and LC(-MS) to produce metabolome coverage and lists of classes like lipids, polar metabolites, xenobiotics, and other classes.

Thank you!

This material is the result of a collaborative work. Thanks to the Galaxy Training Network and all the contributors!

Tutorial Content is licensed under Creative Commons Attribution 4.0 International License.