Carnegie Mellon University

Itaconate-dependent genomic and metabolomic signatures within the lung during Klebsiella pneumoniae infection

Gram negative bacteria are the most common pathogens that cause nosocomial pneumonia in critically ill patients. Klebsiella pneumoniae (KP) in particular has grown in prominence worldwide with increasing prevalence of antibiotic resistance, hypervirulent strains, and invasive clinical syndromes. Immune mechanisms of host defense responsible for clearance of KP infection from the lung are largely unknown. We are interested in understanding the role of an anti-inflammatory metabolite, itaconate, in host defense within the lung during Klebsiella pneumoniae infection. All computational data has been collected across time points and tissues in our infection model but needs to be extracted and analyzed. The candidate will be expected to perform analyses using Gene Set Enrichment Analysis (GSEA), CLC Genomics, and R packages for analysis of data sets. These analyses will be included within a manuscript for publication.

Regulation of lipid trafficking in macrophages during Klebsiella pneumoniae infection

The goal is to characterize lipid signatures (similar to #1 regarding computational analyses), localization, and trafficking within macrophages during Klebsiella pneumoniae infection in our infection model. These studies include using fluorescent labeling of lipids using BODIPY and Lipid Tox staining, microscopy and flow cytometry platforms, and quantitative analyses of imaging data. In addition, the candidate will work with the PI to design screens for host-pathogen interactions in vitro using the above modalities.