Biology subjects

Warner, K.

Publications and source records attributed to Warner, K..

3 recordsLinked to original sources

bioRxiv2025

High-risk clonal groups of Avian Pathogenic Escherichia coli (APEC) demonstrate heterogeneous phenotypic characteristics in vitro and in vivo

Avian Pathogenic Escherichia coli (APEC), a major bacterial pathogen of poultry, is comprised of a diverse range of high-risk clonal groups. However, phenotypic interactions with the avian host cell and how they may differ between lineages remains poorly understood. Therefore, the ability of predominant and outbreak-associated APEC clonal groups to invade and survive within avian host cells, as well as virulence within the Galleria mellonella infection model was investigated. The molecular characterisation of APEC isolated from an outbreak of colibacillosis in turkey poults in the UK, identified APEC sequence type (ST)-101 as the dominant clonal group, carrying a high number of virulence factors. As such, ST-101 was compared as an outbreak-associated lineage to a range of predominant APEC high-risk clonal groups (ST-23, ST-140, ST-95, ST-117). Utilising in vitro cell culture models, APEC isolates displayed comparable adhesion to 8E11 chicken epithelial gut and HD11 chicken macrophage cell lines. However, a trend of increased invasion of the 8E11 cells, and intracellular survival within HD11 macrophages was observed for ST-95, ST-101, and ST-140 APEC, relative to ST-23 and ST-117, suggestive of pronounced phenotypic differences between clonal groups. However, in HD11 cell assays, no difference in magnitude of elicited immune response was observed between lineages, indicating lineages had differing capacities to resist phagocyte killing. In vivo virulence in the Galleria mellonella infection model was also observed to differ between APEC genotypes, with ST-117 inducing the highest mortality, despite the comparatively lower epithelial invasion and intramacrophage survival to other lineages. Collectively, this suggests a distinct phenotypic profile associated with high-risk clonal groups within APEC, potentially allowing the future development of broad-spectrum disease management strategies.

microbiology↗

bioRxiv2024

Structural ubiquitin contributes to K48 linkage-specificity of the HECT ligase Tom1

Homologous to E6AP C-Terminus (HECT) ubiquitin ligases play key roles in essential pathways such as DNA repair, cell cycle control or protein quality control. Tom1 is one of five HECT ubiquitin E3 ligases encoded in the S. cerevisiae genome and prototypical for a ligase with pleiotropic functions such as ubiquitin chain amplification, orphan quality control and DNA damage response. Structures of full-length HECT ligases, including the Tom1 ortholog HUWE1, have been reported, but how domains beyond the conserved catalytic module contribute to catalysis remains largely elusive. Here, through cryogenic electron microscopy (cryo-EM) of Tom1 during an active ubiquitylation cycle, we demonstrate that the extended domain architecture directly contributes to activity. We identify a Tom1-ubiquitin architecture during ubiquitylation involving a non-canonical ubiquitin binding site in the solenoid shape of Tom1. We demonstrate that this ubiquitin binding site coordinates a structural ubiquitin contributing to the fidelity of K48 poly-ubiquitin chain assembly.

biochemistry↗

bioRxiv2019

Measurement and models accounting for cell death capture hidden variation in compound response

Cancer cell sensitivity or resistance is almost universally quantified through a direct or surrogate measure of cell number. However, compound responses can occur through many distinct phenotypic outcomes including changes in cell growth, apoptosis, and non-apoptotic cell death. These outcomes have distinct effects on the tumor microenvironment, immune responses, and resistance mechanisms. Here, we show that quantifying cell viability alone is insufficient to distinguish between these compound responses. Using an alternative assay and drug response analysis amenable to high-throughput measurement, we find that compounds with identical viability outcomes can have very different effects on cell growth and death. Moreover, compound pairs with additive cell growth and death effects can appear synergistic when only assessed by viability. Overall, these results demonstrate an approach to incorporating measurements of cell death when characterizing a pharmacologic response. Summary PointsO_LIMeasurements of solely live cell numbers mask important differences in compound effects. C_LIO_LIAdditive effects on growth and death rates can appear synergistic when analyzed solely via live cell number. C_LIO_LIAutomated imaging can provide reasonable throughput to analyze cell response in terms of cell growth and death, and endpoint analysis is similarly informative. C_LI

cancer biology↗