Award details

A Maldi-TOF-TOF mass spectrometer for high throughput proteomics and metabolomics

Reference	REI20498
Principal Investigator / Supervisor	Professor Royston Goodacre
Co-Investigators / Co-Supervisors	Professor Peter Fielden, Professor Simon James Gaskell, Professor Patrick Gaydecki, Professor Simon Hubbard, Professor Douglas Kell, Professor Nicholas Lockyer, Dr Josip Lovric, Dr Benjamin Stapley, Professor John Vickerman, Dr Alexander Yates
Institution	The University of Manchester
Department	Chemistry
Funding type	Research
Value (£)	179,872
Status	Completed
Type	Research Grant
Start date	01/07/2004
End date	30/06/2007
Duration	36 months

Abstract

The instrument will be used by at least 30 research-active scientists in the Departments of Chemistry, Instrumentation and Analytical Sciences and Biomolecular Sciences for both existing and new research projects. The applicants will be moving into the Manchester Interdisciplinary Biocentre (MIB), a major physical and intellectual grouping of scientists focused on interdisciplinary activities at the interface between life and physical sciences. This proposal will strengthen infrastructure and reflect these activities, and we propose to exploit the the requested MALDI-TOF-TOF analyser in: Proteomics studies applied both to functional genomics and to the characterisation of cellular properties and of clinically significant drug resistance, the degradome and Raf-1 kinases, in bacteria, fungi, plants and animals. As a novel means for producing high-dimensional datasets required for functional genomics at the level of the metabolome. MS-MS analysis will allow the rapid identification of discrimatory metabolites. This is key since around 80 per cent of metabolites are unknown in Arabidopsis thaliane for example [2.3]. As a rapid reliable method for the probabilistic identification of bacteria using both MALDI and SELDI. The comparison of ion formation and fragmentation under C60 sputtering and photon bombardment. We also seek to innovate the development of MALDI methods themselves, by adapting and optimising matrices, additives, and instrument conditions using the methods of evolutionary computing.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Research Equipment Initiative 2003 (RE2) [2003]
Funding Scheme	X – not Funded via a specific Funding Scheme

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