Joe Pogliano

This study identifies Rhc as a multifunctional protein essential for DNA replication and transcription in nucleus-forming phages, revealing its role in resolving R-loops and coordinating gene expression.

This study identifies a unique DNA replication mechanism in the chimallivirus PhiKZ, where a sliding clamp-derived protein enhances polymerase activity through a transient interaction.

The paper determines the high-resolution structure of the Chimalliviridae phage Goslar, revealing its host recognition and infection machinery through cryo-EM and mass spectrometry.

This study identifies chlorotonils as potent anti-Mtb agents and shows resistance is mediated by MmpR5-MmpL5.

The paper identifies thienopyrimidine amides as MmpL3 inhibitors in M. tuberculosis, showing loss of potency in MmpL3 mutants and cell wall stress responses.

The paper shows that the CRISPR-related enzyme mCpol produces cyclic oligonucleotides to prevent cell death and counteract viral immune evasion.

The paper identifies gp335, a phage protein from Churi, which inhibits Pseudomonas aeruginosa growth by interfering with protein translation through ribosome association.

The paper studies a phage lacking PhuZ, showing it replicates efficiently without this protein, highlighting variation in nucleus-based replication pathways.

The paper identifies eight Enterobacter jumbo phages with broad host ranges across pathogenic Gammaproteobacteria, suggesting potential as antibiotic alternatives.

This study identifies Hachiman as a bacterial antiphage defense system that degrades all DNA in response to DNA damage, revealing its role as a genome integrity sensor.

The paper investigates an arylsulphonamide's mechanism against Mycobacterium tuberculosis, finding it targets cell wall biosynthesis via MmpL3.

This study reveals the molecular architecture and infection-sensing mechanism of the bacterial PARIS defense system, showing how it is triggered by a phage counterdefense protein.

This paper identifies components of a novel protein import pathway in phages, revealing a mechanism for selective protein trafficking into the phage nucleus.

This study uses transcriptomic data to construct a regulatory network of Pseudomonas aeruginosa, revealing roles of efflux pumps and media composition in antibiotic responses.

The paper uses machine learning to analyze Pseudomonas aeruginosa transcriptomes and identifies gene sets regulated by known transcriptional factors, revealing insights into biosynthetic clusters and metabolic regulation.