The postdoctoral fellow will conduct research in the lab of Dr. David Lewinsohn. In humans, aerosol exposure to Mycobacterium tuberculosis (Mtb) results is disparate outcomes, ranging from no-infection and/or clearance, to progressive disease. Lung-resident, immune effectors likely play a critical role is determining the outcome following exposure to Mtb, yet remain poorly understood. Mucosal associated invariant T (MAIT) cells are an innate-like T cell subset prevalent in humans and enriched in the airway. MAIT cells recognize Mtb and can be activated by small organic molecules, derived from the riboflavin biosynthesis pathway. This candidate will work on two NIH funded projects that involve collaborations with our partners in South Africa. Using PBMC and BAL from Mtb-infected subjects as well as community controls, this candidate will use the 10X Genomics pipeline to determine 1) if MAIT cells demonstrate TCR usage that reflects antigenic exposure, persistence following antigenic exposure, and dependence on the presence of antigen and 2) is the relationship of MR1T TCR usage and ligand discrimination to outcomes following exposure to Mtb. Our lab collaborates with a team of bioinformaticians and computational biologists at OHSU who will be partners in this analysis.
For more details and to apply, please go to:
*Requires knowledge of cellular immunology techniques such as flow cytometry
* Experience in computational biology.
*PhD in Immunology or Microbiology or Computational Biology
*Experience with the techniques below
*Flow cytometry, 10X Genomics or similar, computational biology
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