Executive Summary
One of the first lines of defence against bacterial pathogens that enter our bodies are phagocytes such as macrophages and monocytes, that literally eat the bacteria and destroy them. However some pathogenic bacteria, including Salmonella and Mycobacterium tuberculosis, have evolved mechanisms whereby they can survive inside these very cells; one way in which they do this is to inhibit the endosomal fusion processes inside the macrophage that expose the bacteria to lethal factors. The aim of this project was to identify the mechanisms bacteria use to block killing by macrophages, and by doing so find ways to overcome these blocks and promote intracellular killing. Helping the macrophage to do its job in this way could be the basis for therapeutic treatments that would be added to conventional anti-microbial drug treatment. This could help shorten treatment times for diseases like tuberculosis, which currently requires 6-9 months of therapy. Since this type of therapy would enhance macrophage function as opposed to killing bacteria, it would be unlikely to lead to the emergence of further microbial drug resistance.
This project targeted two areas of intracellular pathogen biology: the initial uptake into phagocytic cells, which may impact on the subsequent trafficking, and the later phagosome-lysosome fusion events, which are manipulated by Mycobacterium tuberculosis and Salmonella to promote their survival. We have used state-of-the-art cell-based screening techniques with libraries of small-inhibitory RNA (siRNA) molecules and pharmaceutically active compounds to identify potential macrophage targets, and combined this with the power of systems biology to analyse and integrate the different data sets. We have identifying genetic targets that can be manipulated by siRNA and enzymes that can be modulated with small molecules, which will be taken forward in studies to investigate their suitability as targets and drugs for antimicrobial therapy. A spin-off has been the identification of compounds that interfere with eukaryotic cell proliferation, and may have a role in cancer therapy. We identified bacterial mutants with altered trafficking in human macrophages, and these will form the basis of future work to examine the host macrophage transcriptional response to mutant and wild type bacteria.
We further developed methods for the automated modelling of dynamic systems (in the form of ordinary differential equation) using experimental data and expert knowledge, a typical task in systems biology modelling. We used these automated methods to model endosome maturation and LDL trafficking, using time-course data on protein concentrations. We also applied machine learning methods for structured output prediction and predictive clustering to a large number of datasets generated from high-throughput screens carried out during the project.
Molecules including small GTPases and phosphoinositides regulate phagosome maturation. We identified a surprising interaction between apparently antagonistic enzymes, and used mathematical modelling to investigate this. We found that complex formation can produce novel forms of switch-like and bell-shaped responses, and postulate this could have a functional role in the temporal regulation of phosphoinositides during phagosome maturation.
Final Report 2012
- Summary description of project context and objectives
- Description of main S & T results/foregrounds
- Potential impact and main dissemination activities and exploitation results
- Address of project public website and relevant contact details