Thomas R. Hawn

This study shows that ESX-5 deletions in Mtb reduce cytokine secretion in macrophages via a post-transcriptional mechanism and alter heavy metal response genes.

This study compares human and murine macrophage responses to Mtb infection, identifying shared and distinct immune pathways and cytokine expression patterns between alveolar and monocyte-derived macrophages.

This study identifies cathepsin Z as a susceptibility factor for tuberculosis severity in both mice and humans, showing its role in disease outcomes through genetic and cellular analyses.

This study investigates itaconate's role in human macrophages, showing distinct effects in alveolar-like and M-CSF-derived macrophages during M. tuberculosis infection.

The paper integrates multi-omic data to identify latent factors associated with resistance to TB conversion, revealing pathways related to multicellular structure and cell-cell interactions.

This study identifies genetic risk factors for tuberculosis in Brazil using GWAS and single-cell transcriptomics, finding SNPs associated with gene expression in multiple cell types.

The paper identifies epigenetic methylation differences in lipid and cholesterol pathways associated with resistance to TST/IGRA conversion after Mtb exposure.

This study compares transcriptional responses of human alveolar macrophages and monocyte-derived macrophages to Mtb infection, identifying distinct gene expression patterns and pathways.

kimma is an R package for linear mixed effects modeling of RNA-seq data, offering improved sensitivity and model complexity compared to existing pipelines.

This paper identifies genetic variants and eQTLs associated with TB severity, linking them to vascular biology and inflammation, using GWAS and eQTL analyses in TB patients.

The paper uses a statistical learning strategy to track SARS-CoV-2 Spike protein mutations in the US, identifying new variants and their spatiotemporal patterns.