Cystic Fibrosis is a genetic disease that results in the accumulation of thick mucus in the epithelial linings of the entire body, particularly the respiratory tract. Over the course of a patient’s life, the mucus-lined lung epithelium becomes repeatedly infected with pathogenic bacteria that stimulate an immune response; leading to inflammation, tissue damage, and ultimately, respiratory failure.
The microflora of the Cystic Fibrosis lung changes over time. In childhood, the major coloniser is Staphylococcus aureus, but as the patient matures other bacterial pathogens infect. The later-dominating pathogens, Pseudomonas aeruginosa and Burkholderia cepacia, are very difficult to eradicate and are associated with chronic decline in lung function. Burkholderia is so infectious that patients have to be isolated from one another, and can be denied lung transplants due to the persistence of this bacterium.
It is important, therefore, for medics to monitor and identify the levels of bacteria within the respiratory tract of a Cystic Fibrosis patient. Currently, patients must provide sputum samples and identification of bacteria takes between 72 hours and 2 weeks, by which point the bacteria can be in an antibiotic resistant state.
The Dundee 2014 iGEM project is focused on designing and testing a device that will rapidly and non-invasively identify the bacteria colonising a Cystic Fibrosis patient. Three biosensors will be developed that recognise external signal molecules produced by key bacteria, all of which are known to be in sputum samples of Cystic Fibrosis patients. A quinolone signal (PQS) is produced by Pseudomonas aeruginosa, a Diffusible Signal Factor (DSF) is produced by Stenotrophomonas maltophilia, an organism that is also associated with Cystic Fibrosis lung infection in adults, and BDSF is a related, but chemically distinct molecule that is produced by Burkholderia cepacia.
By engineering signal recognition and signal transduction proteins from these biological systems the Dundee iGEM team want to produce a portable electronic device that will identify infection outside of the clinic, so that patients do not have to travel great distances, and can be used to help health professionals make informed and rapid decisions on antibiotic treatments.
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Bulletin Board (Policy & Practice)
Come look at the poster explaining how we involved the local and national cystic fibrosis community in our project. How we listened to people on the font line of the disease and how they effected our project.
School (Project)
Come in and learn about all the parts that make the Lung Ranger. The lab work that we carried out over the
summer is explained here in detail, along with the modelling and implementation.
Library (Log Book)
Read about the experience the team has had over the summer. A week by week description of our work, how we carried out that work and some photos of our time together.
Saloon (iGEM community)
Come on in, take a seat and learn how we have interacted with the larger iGEM community. Who the team are, who helped them and how we helped others.
College of Life Sciences
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Division of Mathematics
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Established in 2007, Scottish Universities Life Sciences Alliance (SULSA) is a research pooling partnership between the Universities of Aberdeen, Dundee, Edinburgh, Glasgow, St Andrews and Strathclyde that is supported by the Scottish Funding Council.
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