Award details

Systematic small molecule analysis using GC-MS

Reference	BB/E013155/1
Principal Investigator / Supervisor	Professor Simon Turner
Co-Investigators / Co-Supervisors	Dr Matthew Cobb, Dr Karen Cosgrove, Professor Alan Dickson, Professor Mark Dunne, Professor Royston Goodacre, Dr Michael Kertesz, Professor Susan Kimber, Professor Catherine McCrohan, Professor Stephen Oliver
Institution	The University of Manchester
Department	Life Sciences
Funding type	Research
Value (£)	142,366
Status	Completed
Type	Research Grant
Start date	28/02/2008
End date	27/02/2009
Duration	12 months

Abstract

The University has a large research base in the area of systems biology and the use of modelling to integrate data from a wide range of different biological systems. In particular the University possesses considerable expertise in the area of metabolism. The realisation that metabolomics may be applied to a wide variety of research areas and the increasing demand for a comprehensive systems-based approach has led to a large increase in demand within the Faculty of Life Sciences (FLS) for metabolite analysis. The provision of services within dedicated core facilities has been a cornerstone of the way in which FLS is organised. The Biomolecular Analysis Core Facility (BACF) has both excellent bioinformatics support and state of the art Mass Spectroscopy equipment for proteomics; however it lacks equipment such as GC-MS that can be used for the comprehensive analysis of small molecules of biological relevance such as metabolites. The aim of this proposal is to build upon the expertise already existing within Manchester by acquiring a GC-MS that would be available to meet the rapidly growing demand for metabolite and other kinds of small molecule analysis within the faculty. The GC-MS would be used to measure metabolite or other small molecules in a wide variety of different projects including: 1. Metabolite profiling and cell wall composition of plant cell wall mutants. 2. Metabolite measurements in wild type and yeast hybrid to develop a functional predictive model for metabolism. 3. Metabolic fingerprinting of embryonic stems cells and stem cell lines. 4. Metabolite profiling of individual pancreatic cell types. 5. The integration of metabolite information into models of cell culture for bioprocessing. 6. The identification of metabolites and nutrients in root exudates and soil. 7. Measurement of pollutants in brown field sites. 8. Analysis of complex mixtures of compounds in natural odours.

Summary

Every cell contains very large numbers of small molecules known as metabolites. These metabolites are the essential currency of the cell; they can be used to make larger molecules, generate energy and can be used as signalling compounds. There may be many hundreds, or even thousands, of metabolites within a single cell. Generally the composition of the metabolites reflects the status of the cells, for example if the cell is highly specialised it may make a large amount of one particular metabolite, or a range of other specific metabolites. Traditionally scientists have tended to examine small numbers of metabolites at a time, but we are now in a position to measure several hundred metabolites simultaneously. This information can be used as a fingerprint to give information about that cell, is it busy or resting for example. The information can also be used to see what happens if we alter the cell in some way, by, for example, adding a drug and seeing how the metabolites change. The metabolites in a cell are all interconnected by different pathways that are analogous to a map of the London underground in which the metabolites are represented by stations. By measuring all the metabolites simultaneously and seeing how they change over time we are better able to understand how individual metabolites (the stations) are interconnected. It also gives an excellent snapshot of the current status of the cell. This proposal is to buy equipment that will be used to measure a large number of metabolites simultaneously. This is a difficult process as many metabolites are structurally very similar even though they may have very different functions. The proposal is to use Gas Chromatography coupled with Mass Spectrometry. Essentially this separates molecules based upon their chemical properties and their size. It also gives information on how abundant different metabolites are. It is a specialised process that generates a very large amount of data. In order to handle such a largeamount of data and to analyse a large number of samples much of the process is automated or handled by a computer. This same equipment can also be used to study any small molecules including pollutants, soil nutrients and complex volatile mixtures. We will use the equipment to address a range of problems in diverse areas of research including: 1. Study the relationship between metabolites in the single yeast cells and extrapolate from this relatively simple system to help understand how all cells work in complex multicellular organisms such as people or plants. 2. Stem cells offer the potential to cure many diseases that are currently untreatable, but in order to be able to generate enough of these cells much more needs to be known about how they behave and what regulates their unique properties. 3. Measuring metabolite changes in insulin-producing cells under different conditions will help us to understand the onset of diabetes and may help us to design better drugs to treat the condition. 4. Many new drugs are produced by growing cells in culture and in order to maximise production it is important to understand how producing these drugs affects the behaviour of the cultures. 5. Plant cell walls offer a huge resource that could potentially be harvested for use as a renewable source of energy and novel materials. To optimise production, more information is needed on how the compounds in the cell wall are made. 6. Nutrient availability and pollutants both limit plant productivity - by measuring these factors accurately it offers the potential to boost production. 7. The binding properties of olfactory receptors remain a mystery; we will be able to identify the natural ligands of single olfactory receptor neurons that express a single kind of olfactory receptor. This will have far-reaching implications for neurobiology and for the development of pest control strategies.

Committee	Closed Committee - Plant & Microbial Sciences (PMS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Research Equipment Initiative 2006 (RE6) [2006]
Funding Scheme	X – not Funded via a specific Funding Scheme

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search