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Protein dynamics in Escherichia coli

Reference	BB/E009751/1
Principal Investigator / Supervisor	Professor Conrad Mullineaux
Co-Investigators / Co-Supervisors	Dr Karen Lipkow
Institution	Queen Mary University of London
Department	Sch of Biological and Chemical Sciences
Funding type	Research
Value (£)	315,244
Status	Completed
Type	Research Grant
Start date	01/03/2007
End date	28/02/2010
Duration	36 months

Abstract

The diffusion of proteins is of fundamental importance to the function of living cells. The interior of the cell must be a very complex environment, in which the dynamic behaviour of a protein is strongly influenced by factors such as macromolecular crowding and a whole range of specific and non-specific interactions with other cell components. Escherichia coli is an attractive model system for the study of these effects. It is genetically-accessible: the genome is sequenced and there is an unparalleled range of techniques for controlling the expression of heterologous protein constructs. Crucially, it is a bacterium with a relatively simple cell structure. This makes it feasible to construct explicit dynamic models for processes involving protein diffusion. The PI has developed a series of techniques based on Fluorescence Recovery after Photobleaching (FRAP) that allow accurate, quantitative measurement of protein diffusion in the cytoplasm, periplasm, and plasma membrane of E. coli cells. We will generate a series of E. coli transformants expressing different native and heterologous proteins linked to fluorescent protein tags (GFP and SNAP). These will include cytoplasmic, plasma membrane and periplasmic proteins. FRAP measurements will reveal the influence of protein size and interactions on diffusion rates in the cytoplasm and periplasm. We will explore the effects of macromolecular crowding by artificially increasing the protein density in the cytoplasm. In the plasma membrane, we will test the effect of varying lipid composition, and by comparing measurements in vivo with isolated membranes in vitro we will explore the influence of cytoplasmic and periplasmic elements on the diffusion of membrane proteins. The data will allow us to construct greatly improved models for the dynamic physical environments within E. coli cells. We will then apply our data for improved modelling of a range of dynamic processes in E. coli.

Summary

The interior of a living cell is a complex environment which is densely packed with many different kinds of molecules. These include numerous proteins - biological macromolecules which carry out many essential functions of the cell. There are two traditional approaches to understanding the processes occurring in the cell. The biochemical approach involves isolating specific cell components, studying their behaviour in vitro, and then inferring their behaviour within the intact cell, usually on the assumption that the cell interior is a rather simple, fluid 'bag' of molecules. A second approach involves microscopic structural studies on the organisation of the cell interior and specific cell components. Neither approach gives a complete picture of the function of the cell interior. The biochemical approach neglects the complex, structured, and crowded nature of the cell interior, while the conventional microscopic approach shows cell structure but gives little information on the movement of molecules in the cell. However, there are number of ways to study the movement of proteins within living cells. A key technique is Fluorescence Recovery after Photobleaching (FRAP). For FRAP, the protein of interest must be somehow be labelled with a fluorescent tag. When the cell is observed in a fluorescence microscope, the protein can then be detected. Usually, individual protein molecules are not observed - instead the fluorescence micrograph shows the distribution of hundreds or thousands of protein molecules within the cell. The diffusion of the protein can be measured by using a highly-focussed laser beam to rapidly 'bleach' fluorescence in a small area of the cell. The bleached area appears as a dark area in the fluorescence micrograph. If the protein population is mobile, the bleached area spreads and fills in a characteristic way. The rate of diffusion of the fluorescent protein can then be estimated. There have been numerous FRAP studies on individual proteins in different kinds of cells, but surprisingly there has to date been no systematic study of the factors that control the rates of protein diffusion. We will carry out such a systematic study, using as a model organism the well-known gut bacterium Escherichia coli. E. coli is arguably the organism we understand best. For our study, it has the advantage of a relatively simple cell structure. Furthermore, it is very easy to genetically manipulate. A perceived disadvantage of E. coli for FRAP studies is that it has relatively small cells, which can make studies based on optical microscopy harder. However, we have developed ways to overcome this problem, and shown that it is possible to use FRAP to make accurate measurements of protein diffusion in E. coli cells. We will use genetic methods to add fluorescent tags to proteins of different sizes and properties, which will be synthesised inside the cell. Depending on the properties of the proteins, they will either remain in the cytoplasm, be associated with the inner membrane that surrounds the cytoplasm, or be exported into the periplasm, the compartment between the inner and outer membranes of the cell. The diffusion rates of the various proteins will provide an incisive probe of the physical properties of these environments in the cell. We will use the data to construct physical models for these environments. There have been several attempts to construct mathematical models for processes involving protein diffusion in E. coli, but these have not been based on accurate experimental measurements of the rates of protein diffusion. We will use our data to construct more realistic models for cell processes, including the way that chemical messages travelling within the cell control the direction in which it swims, and the way the cell is able to divide at its midpoint. The project will help to us to understand how a cell functions as a dynamic physical system.

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

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