Award details

Composition heterogeneity and dynamics of the eukaryotic translation machinery

Reference	BB/F019963/1
Principal Investigator / Supervisor	Professor Robert Beynon
Co-Investigators / Co-Supervisors
Institution	University of Liverpool
Department	Veterinary Preclinical Science
Funding type	Research
Value (£)	316,508
Status	Completed
Type	Research Grant
Start date	01/10/2008
End date	31/12/2011
Duration	39 months

Abstract

Given the fundamental importance of protein synthesis to living systems, we feel that the full characterisation of the macromolecular machinery responsible for this process in eukaryotes should be a high priority. Recent evidence points to the existence of many previously unidentified proteins that either modulate the activity of the translational machinery or play core functional roles. Using a range of techniques, including newly developed mass spectrometric methods, bioinformatics, fluorescence imaging, in vivo functional analysis and in vitro reconstitution, we will perform comprehensive and absolutely quantitative characterisation of the translational machinery and its associated proteins in Saccharomyces cerevisiae. Biophysical and biochemical characterisation will be combined with functional analysis in order to provide a much enhanced picture of the composition, function and control of the translation machinery. Our focus will be on defining the heterogeneity of the system and characterising the changes in its composition in response to environmental changes. Additionally, detailed work on protein component exchange and degradation will elucidate important details of the dynamics and turnover of the translation machinery components.

Summary

Many processes in the cell are carried out by large machines, built by the cell from complex assortments of parts. If we encountered a new machine how would we understand it? First, we'd work out what it does, and then, examine the parts that it is made of, and finally, we'd try and reassemble or build our own machines from an equivalent set of parts. If we then wanted to build more machines, we would have to design a factory to make sure that all the parts were available. The design of any manufacturing process is complex - do we for example, make sure that N sets of parts are available if we know we are to build N machines ('just in time' principles) - what if the supplier of one of the parts fails to deliver? Or, do we design a factory where we have 50N parts always available, increasing storage and manufacturing costs (surplus stock). Do we recycle those surplus parts, or store them for years, so that they gradually become damaged or unfit for purpose? The cell faces exactly the same challenges. The machine that makes proteins in the cell is called the ribosome, which uses the blueprints in the genes to dictate the synthesis of proteins. The ribosome is itself a highly complex machine, made of proteins and RNA. Our goal is to characterise all the proteins associated with the translation machinery, calculate how many of each part (protein) there are, and work out how the cell balances the costs and benefits of 'just in time' against 'surplus part' manufacturing. We will discover how rapidly the parts can be made, the degree to which surplus parts are recycled, and even whether the cell makes variants of the machine (S, GT, GTL, GTE models!) that are designed for different uses and locations. By understanding how such complex machinery is made, we will begin to understand how the cell balances flexibility of response (in time, and in terms of types of machine) with quality control, manufacturing principles and energy costs. Manufacturing is as complex on thecellular scale as it is in a car assembly plant.

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	Microbiology, Systems Biology
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

BB/F019483/1 Composition heterogeneity and dynamics of the eukaryotic translation machinery

BB/F019483/2 Composition heterogeneity and dynamics of the eukaryotic translation machinery

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