David Branch Moody

The paper identifies pks12 as an in vivo essential gene in Mtb by combining genomic, metabolomic, and phenotypic analyses, revealing its role in mycolyl lipid synthesis and host-pathogen interface structure.

The paper compares the transcriptional profiles of CD1b-specific T cells with conventional and innate-like T cells, finding CD1b-specific cells are more similar to conventional T cells.

This study identifies idsA2 mutations as a mechanism of ethambutol resistance in Mtb by showing they enhance drug resistance through metabolic remodeling.

This study shows that deleting the pknF gene in Mycobacterium tuberculosis increases its virulence in mice by enhancing production of the pro-virulence lipid PDIM and reducing host survival.

The paper identifies a conserved TCR motif recognizing mycobacterial lipids presented by CD1c, showing higher frequencies in TB-endemic regions and providing a cryo-EM structure of the interaction.

This study identifies CD1a-restricted T cell responses to canonical microbial peptides in leprosy, expanding the known ligands of CD1a and suggesting potential applications for mycobacterial immunity research.

This study identifies a mechanism by which CD1c presents two lipids simultaneously, with bulky headgroups oriented sideways, enabling autoreactive TCR recognition.

The paper maps unknown lipids in bacterial pathogens using lipidomic methods, revealing new biosynthetic products linked to virulence.

This paper uses UAV phenotyping and machine learning to predict barley root traits in the field, identifying genetic drivers of root gravitropism.

The paper develops a method to image phenolic glycolipid (PGL) in mycobacteria using bioorthogonal metabolic labeling and demonstrates its application in studying PGL dynamics.

This study finds that higher Native Peruvian ancestry is associated with increased tuberculosis progression risk, independent of socio-demographic and environmental factors.

The paper introduces a novel SNP array design for multi-species hybridisation in breeding and research, demonstrating its utility in wheat and barley with high-resolution data and imputation capabilities.

Symphony maps query cells to large reference atlases efficiently, enabling rapid identification of cell states and phenotypes across diverse datasets.

The paper identifies state-dependent eQTLs in memory T cells by analyzing single-cell RNA and protein data from Peruvians, showing that gene regulation varies with cell states and disease-associated variants are enriched in these contexts.

This paper introduces CNA, a method to identify disease-associated cell states by analyzing transcriptional neighborhoods across samples, showing improved performance over cluster-based approaches in simulations and real datasets.

The paper identifies a genetic variant on 3q23 associated with early progression from Mycobacterium tuberculosis exposure to active tuberculosis in Peruvians, showing higher heritability than general TB susceptibility.