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Thomson, G.

Publications and source records attributed to Thomson, G..

5 recordsLinked to original sources

Spatial Transcriptomics Reveals Region-Specific Host Responses in Amoebic Gill Disease of Atlantic Salmon

Amoebic gill disease (AGD), caused by the parasite Neoparamoeba perurans, is a major welfare and economic burden for the Atlantic salmon aquaculture industry. However, the spatial organisation of immune functions within the gill, the site of infection, remains poorly resolved. Here, we present the first spatial transcriptomic atlas of the Atlantic salmon gill affected by AGD, generated using 10x Genomics Visium on four AGD-positive fish, confirmed by gill scoring and quantitative PCR for parasite load. As no uninfected gills were included, this study maps the anatomical and immunological organisation of AGD-affected gills rather than defining AGD-specific pathology. Unsupervised clustering of spatial gene expression resolved distinct transcriptional domains that grouped into four principal anatomical compartments of the gill, including (i) epithelial and lamellar regions defined by keratin and osmoregulatory gene expression, (ii) gill arch regions enriched for connective tissue and smooth muscle markers, (iii) an erythroid-associated vascular cluster, and (iv) a skeletal muscle cluster with signatures of glycolysis and oxidative phosphorylation. Across these domains, we identified a spatially organised and diffused immune landscape, with pattern recognition receptors, antimicrobial effectors and chemokines concentrated at the filament surface, and immunoglobulin light chain transcripts consistent with B lymphocyte activity enriched toward the gill arch. Integration of the spatial data with a published single-nucleus reference atlas using reference-based deconvolution resolved the cellular identity underlying these domains and revealed frequent co-localisation of immune and structural cell types, suggesting regulated cell to cell communication within the gill-associated lymphoid tissue. Overall, our results show that the Atlantic salmon gill is not a transcriptionally uniform surface but a regionally specialised organ, with immune functions distributed across, and specialised within, distinct anatomical compartments

immunology↗

Uridine Phosphorylase-1 supports metastasis of mammary cancer by altering immune and extracellular matrix landscapes of the lung

Understanding the mechanisms that facilitate early events in metastatic seeding is key to developing therapeutic approaches to reduce metastasis - the leading cause of cancer-related death. Using whole animal screens in genetically engineered mouse models of cancer we have identified circulating metabolites associated with metastasis. Specifically, we highlight the pyrimidine uracil as a prominent metastasis-associated metabolite. Uracil is generated by neutrophils expressing the enzyme uridine phosphorylase-1 (UPP1), and neutrophil specific Upp1 expression is increased in cancer. Altered UPP1 activity influences expression of adhesion molecules on the surface of neutrophils, leading to decreased neutrophil motility in the pre-metastatic lung. Furthermore, we find that UPP1-expressing neutrophils suppress T-cell proliferation, and the UPP1 product uracil can increase fibronectin deposition in the extracellular microenvironment. Consistently, knockout or inhibition of UPP1 in mice with mammary tumours increases the number of T-cells and reduces fibronectin content in the lung and decreases the proportion of mice that develop lung metastasis. These data indicate that UPP1 influences neutrophil behaviour and extracellular matrix deposition in the lung and suggest that pharmacological targeting of this pathway could be an effective strategy to reduce metastasis.

cancer biology↗

Induction of T-DNA amplification by retrotransposon-derived sequences

Transformation via Agrobacterium tumefaciens (Agrobacterium) is the predominant method used to introduce exogenous DNA into plants. Transfer DNA (T-DNA) originating from Agrobacterium can be integrated as a single copy or in concatenated forms in plant genomes, but the mechanisms affecting final T-DNA structure remain unknown. In this study, we demonstrate that the inclusion of retrotransposon (RT)-derived sequences in T-DNA can increase transgene copy number by more than 50-fold in Arabidopsis thaliana (Arabidopsis). RT-mediated amplification of T-DNA results in large concatemers in the Arabidopsis genome, which are primarily induced by the long terminal repeats (LTRs) of RTs. T-DNA amplification is dependent on the activity of DNA repair proteins associated with theta-mediated end joining (TMEJ). Finally, we show that T-DNA amplification can increase the frequency of targeted mutagenesis and gene targeting. Overall, this work uncovers molecular determinants that modulate T-DNA copy number in Arabidopsis and demonstrates the utility of inducing T-DNA amplification for plant gene editing.

plant biology↗

NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects

BackgroundThe three-dimensional nuclear arrangement of chromatin impacts many cellular processes operating at the DNA level in animal and plant systems. Chromatin organization is a dynamic process that can be affected by biotic and abiotic stresses. Three-dimensional imaging technology allows to follow these dynamic changes, but only a few semi-automated processing methods currently exist for quantitative analysis of the 3D chromatin organization. ResultsWe present an automated method, Nuclear Object DetectionJ (NODeJ), developed as an imageJ plugin. This program segments and analyzes high intensity domains in nuclei from 3D images. NODeJ performs a Laplacian convolution on the mask of a nucleus to enhance the contrast of intra-nuclear objects and allows their detection. We reanalyzed public datasets and determined that NODeJ is able to accurately identify heterochromatin domains from a diverse set of Arabidopsis thaliana nuclei stained with DAPI or Hoechst. NODeJ is also able to detect signals in nuclei from DNA FISH experiments, allowing for the analysis of specific targets of interest. Conclusion and availabilityNODeJ allows for efficient automated analysis of subnuclear structures by avoiding the semi-automated steps, resulting in reduced processing time and analytical bias. NODeJ is written in Java and provided as an ImageJ plugin with a command line option to perform more high-throughput analyses. NODeJ can be downloaded from https://gitlab.com/axpoulet/image2danalysis/-/releases with source code, documentation and further information avaliable at https://gitlab.com/axpoulet/image2danalysis. The images used in this study are publicly available at https://www.brookes.ac.uk/indepth/images/ and https://doi.org/10.15454/1HSOIE.

bioinformatics↗

CPO Complete, a novel test for fast, accurate phenotypic detection and classification of carbapenemases

Rapid, accurate detection of carbapenemase-producing organisms (CPOs) and the classification of their carbapenemases are valuable tools for reducing the mortality of the CPO-associated infections, preventing the spread of CPOs, and optimizing use of new {beta}-lactamase inhibitor combinations such as ceftazidime/avibactam and meropenem/vaborbactam. The current study evaluated the performance of CPO Complete, a novel, manual, phenotypic carbapenemase detection and classification test. The test was evaluated for sensitivity and specificity against 262 CPO isolates of Enterobacteriaceae, Pseudomonas aeruginosa and Acinetobacter baumannii and 67 non-CPO isolates. It was also evaluated for carbapenemase classification accuracy against 205 CPOs that produced a single carbapenemase class. The test exhibited 100% sensitivity 98.5% specificity for carbapenemase detection within 90 minutes and detected 74.1% of carbapenemases within 10 minutes. In the classification evaluation, 99.0% of carbapenemases were correctly classified. The test is technically simple and has potential for adaptation to automated instruments. With lyophilized kit storage at temperatures up to 38{degrees}C the CPO Complete test has the potential to provide rapid, accurate carbapenemase detection and classification in both limited resource and technologically advanced laboratories.

microbiology↗