aaaaa Background aaaaa
 
    Autoantibody to Interferon gamma (auto-anti IFNG) has been found mostly in adult-onset immunodeficiency syndrome (AOID) with non-HIV infection. Basically, Interferon gamma (IFNG) plays an important role in cell-mediated immunity in response to kill intracellular pathogens. Therefore, IFNG is neutralized by auto-anti IFNG leading to poor immune activity against to pathogens, especially opportunistic microorganism. Interestingly, anti IFNG has been found in both patients with and without active opportunistic infection. So it introduces us to classify the anti IFNG was found in two patient groups. To account for this, we plan to identify the recognition area of IFNG interacting to IFNG antibodies. Bioinformatics, protein surface expressing and mutagenesis tools are available for guiding the epitope identification. Next, the IFNG library is constructed to apply in diagnostic and therapeutic facilities.
 
     
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  Progress study  
 
IFNG expression in bacterial cell
Structural bioinformatic model to guide the epitope identification
Mutagenesis strategy to guide the construction of IFNG library
Designing the anti IFNG detection by biosensor
Optimizing the condition for large scale of IFNG
 
     
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