BBSRC Portfolio Analyser
Award details
(A) Development of an integrated platform for rapid protein identification and characterisation
Reference
JE412695
Principal Investigator / Supervisor
Professor Stephen Pennington
Co-Investigators /
Co-Supervisors
Professor Huw Rees
Institution
University of Liverpool
Department
Human Anatomy and Cell Biology
Funding type
Research
Value (£)
135,000
Status
Completed
Type
Research Grant
Start date
22/11/2000
End date
22/05/2001
Duration
6 months
Abstract
Dramatic progress has been made in genome sequencing and functional genomics. However, it has become apparent that investigation of the growing number of genes of unknown function additionally requires systematic approaches to protein identification, characterisation and protein-based methods for functional analysis. Peptide mass fingerprinting by Matrix Assisted Laser Desorption Ionisation (MALDI) mass spectrometry potentially provides a rapid and high-throughput method for identification and characterisation of proteins. The power of this approach to protein identification will increase as DNA and protein sequence databases mature and with improvements in post source decay (PSD) analysis. The primary objective of this proposal is to integrate the use of three items of instrumentation: automated protein digestion robot, and automated protein digest 'clean up' and sample target loading machine and a new state-of-the-art dual reflectron MALDI mass spectrometer. This will provide a platform for rapid and potentially high-throughput protein characterisation to meet the needs of research programmes in the applicant's laboratories and of the significant grouping of biomedical researchers in Liverpool.
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
Joint Equipment Initiative 1999 (JE4) [1999]
Funding Scheme
X – not Funded via a specific Funding Scheme
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