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Biology subjects

Goodwin, R.

Publications and source records attributed to Goodwin, R..

5 recordsLinked to original sources

Neutrophil Extracellular Trap gene expression signatures identify prognostic and targetable signaling axes for inhibiting metastasis of pancreatic tumours

Tumour associated neutrophils (TANs) can promote metastasis through the interaction of Neutrophil Extracellular Traps (NETs) with tumour cells. Here, we examined the contribution of NETs in the progression of Pancreatic Ductal Adenocarcinoma (PDAC), which is characterized by high metastatic propensity. We carried out consensus clustering and pathway enrichment analysis of NET-related genes in an integrated cohort of 369 resectable and metastatic PDAC patient tumour samples, and compiled two gene expression signatures comprising of either, integrin-actin cytoskeleton, and Epithelial to Mesenchymal Transition (EMT) signaling, or cell death signaling, which identified patients with very poor to better overall survival, respectively. Tumour Infiltrating neutrophils and NETs associate with ITGB1, CCDC25 and ILK, within clinical and experimental PDAC tumours. Functionally, exposure of PDAC cells to NETs identified a cytoskeletal dynamic-associated CCDC25/ITGB1/ILK signaling complex which stimulates EMT and migration/ invasion. Furthermore, NETosis-driven experimental metastasis of PDAC cells is significantly inhibited by ILK knock down. Our data identify novel NET-related gene expression signatures for PDAC patient stratification, and reveal targetable signaling axes to prevent and treat disease progression and metastasis.

cancer biology↗

Spatial mapping of dextran sodium sulphate-induced intestinal inflammation and its systemic effects

Inflammatory bowel disease (IBD) is a multifactorial disease and patients frequently experience extraintestinal manifestations affecting multiple sites. Causes of systemic inflammation remain poorly understood but molecules originating from the intestine likely play a role, with microbial and host small molecules polarizing host immune cells towards a pro- or anti-inflammatory phenotype. Using the dextran sodium sulphate (DSS) mouse model, which mimics the disrupted barrier function, microbial dysbiosis and immune cell dysregulation of IBD, we investigated metabolomic and phenotypic changes at intestinal and systemic sites. Using spatial biology approaches we mapped distribution and relative abundance of molecules and cell types across a range of tissues revealing significant changes in DSS-treated mice. Molecules identified as contributing to the statistical separation of treated from control mice were spatially localized within organs to determine their effects on cellular phenotypes through imaging mass cytometry. This spatial approach identified both intestinal and systemic molecular drivers of inflammation, including several not previously implicated in inflammation linked to IBD or the systemic effects of intestinal inflammation. Metabolic and inflammatory pathway interplay underpins systemic disease and determining drivers at the molecular level may aid the development of new targeted therapies.

molecular biology↗

Microbiome-derived metabolite effects on intestinal barrier integrity and immune cell response to infection

The gut microbiota exerts a significant influence on human health and disease. While compositional changes in the gut microbiota in specific diseases can easily be determined, we lack a detailed mechanistic understanding of how these changes exert effects at the cellular level. However, the putative local and systemic effects on human physiology that are attributed to the gut microbiota are clearly being mediated through molecular communication. Here we determined the effects of a number of gut microbiome-derived metabolites on the first line of defence in the gut. Using in vitro models of intestinal barrier integrity, and studying the interaction of macrophages with pathogenic and non-pathogenic bacteria, we could ascertain the influence of these metabolites at the cellular level at physiologically relevant concentrations. Many metabolites exerted competing influences on intestinal epithelial or immune cells, specific metabolite effects were noted on barrier function, polarised cytokine release and the lifespan of metabolite treated cells. Our findings reiterate the complexity of understanding microbiome effects on host physiology with many metabolites having contrasting effects on host cells. However, our results underline that microbiome metabolites are crucial mediators of barrier function and the innate response to infection. Understanding the effects of these metabolites at the cellular level will allow us to move towards a better mechanistic understanding of microbiome influence over host physiology, a crucial step in advancing microbiome research.

microbiology↗

Large-Scale Evaluation of Spatial Metabolomics Protocols and Technologies

Spatial metabolomics using imaging mass spectrometry (MS) enables untargeted and label-free metabolite mapping in biological samples. Despite the range of available imaging MS protocols and technologies, our understanding of metabolite detection under specific conditions is limited due to sparse empirical data and predictive theories. Consequently, challenges persist in designing new experiments, and accurately annotating and interpreting data. In this study, we systematically measured the detectability of 172 biologically-relevant metabolites across common imaging MS protocols using custom reference samples. We evaluated 24 MALDI-imaging MS protocols for untargeted metabolomics, and demonstrated the applicability of our findings to complex biological samples through comparison with animal tissue data. We showcased the potential for extending our results to further analytes by predicting metabolite detectability based on molecular properties. Additionally, our interlaboratory comparison of 10 imaging MS technologies, including MALDI, DESI, and IR-MALDESI, showed extensive metabolite coverage and comparable results, underscoring the broad applicability of our findings within the imaging MS community. We share our results and data through a new interactive web application integrated with METASPACE. This resource offers an extensive catalogue of detectable metabolite ions, facilitating protocol selection, supporting data annotation, and benefiting future untargeted spatial metabolomics studies.

systems biology↗

The heterogeneous distribution of extracellular adenosine reveals a myeloid-dependent axis, shaping the immunosuppressive microenvironment in pancreatic ductal adenocarcinoma

The prognosis for patients with pancreatic ductal adenocarcinoma (PDAC) remains extremely poor. It has been suggested that the adenosine pathway contributes to the ability of PDAC to evade the immune system and its resistance to immunotherapies (Immuno-Oncology Therapy, IOT), by generating extracellular adenosine (eAdo). Using genetically engineered allograft models of PDAC in syngeneic mice with differential immune infiltration and response to IOT, we showed enrichment of the adenosine pathway in tumour-infiltrating immune cells (in particular, myeloid populations). Using MS-Imaging, we showed that extracellular adenosine distribution is heterogeneous in tumours, with high concentrations in hypoxic margins that surround necrotic areas, associated with a rich myeloid infiltration, demonstrated using Imaging Mass Cytometry (IMC). Pro-tumorigenic M2 macrophages express high levels of the Adora2a receptor; particularly in the IOT resistant model. Blocking the in vivo formation and function of eAdo (Adoi), using a combination of anti-CD73 antibody and an Adora2a inhibitor slowed tumour growth and reduced metastatic burden. In addition, blocking the adenosine pathway improved the efficacy of combinations of cytotoxic agents or immunotherapy. Finally, Adoi remodelled the tumour microenvironment (TME), as evidenced by reduced infiltration of M2 macrophages and Tregs. RNAseq analysis showed that genes related to immune modulation, hypoxia and tumour stroma were downregulated following Adoi and a specific adenosine signature derived from this is associated with a poorer prognosis in patients with PDAC. The formation of eAdo appears to promote the development of the immunosuppressive TME in PDAC, contributing to its resistance to conventional and novel therapies. Therefore, inhibition of the adenosine pathway may represent a strategy to modulate the stroma and improve therapy response in patients with PDAC.

cancer biology↗