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Revision as of 21:33, 18 September 2015
The DiaCHIP - A Versatile Detection System
Project Motivation
Serological tests are a key element in modern medicine. Especially for detection and identification of infectious diseases, the performance of several blood tests is inevitable. Testing for more than one disease at once or diagnosing a patient with uncertain symptoms usually requires far more than one test. Every single test that is required increases the time of waiting for a precise diagnosis. In case of dangerous infectious diseases every minute until the onset of an appropriate treatment is crucial for the patient's survival. What if there was a possibility to combine all these tests in one single chip which offers a fast diagnosis and is affordable for everyone?
Detecting Antigen-Antibody Interactions
The DiaCHIP is an innovative tool to screen for a broad range of antibodies in serum. Their presence serves as an indicator for an immune response towards an infectious disease or a successful vaccination. They also play an important role in the diagnosis of autoimmune diseases. Identifying diseases by detecting disease associated antibodies in a patient's serum is an established method in modern diagnostics.
Based on the very same principle, the DiaCHIP enables to screen for multiple diseases simultaneously, thereby reducing time and costs of a diagnosis. Especially the ability to differentiate between life threatening diseases and mild infections within a short time bears the potential to save lifes.
The Concept
The key feature of the DiaCHIP concept is the combination of on-demand protein synthesis and a novel method for label-free detection - all this packed into one device. The idea is to overcome challenges commonly found in protein array production and preservation. By cell-free expression of disease-related antigens, the protein array can be produced right when it is needed. In addition, results can be obtained in a time- and cost-efficient manner using a device simple enough to be rebuilt by future iGEM teams.