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Pavlou, S.

Publications and source records attributed to Pavlou, S..

3 recordsLinked to original sources

IL-17 sensitises sensory neurons and colonic afferents to noxious stimuli in a PI3K dependent manner

Managing visceral pain associated with gastrointestinal (GI) disease remains a significant challenge due to the gut-related side effects and contraindicated use of many commonly used painkillers in people with inflammatory bowel disease (IBD). Consequently, it is crucial to deepen our understanding of the mediators and mechanisms underlying inflammatory pain in people with IBD. To do this, we compared bulk RNA sequencing data from colonic biopsy samples from people with IBD with single-cell RNA sequencing data from colon projecting dorsal root ganglion (DRG) neurons in mice to generate an interactome of putative pro-nociceptive cytokine signalling pathways. This in silico analysis revealed a 10-fold increase in IL17A expression in samples from people with ulcerative colitis (UC) alongside marked co-expression of Il17ra with Trpv1 in colon-projecting DRG neurons in mice, highlighting a likely role for interleukin-17 (IL-17) in colonic nociceptor signalling in people with UC. In support of this, Ca2+ imaging studies demonstrated that IL-17 stimulates DRG sensory neurons co-sensitive to capsaicin with a similar proportion responding in neuron-enriched cultures generated by magnetic-activated cell sorting, thus confirming that IL-17 directly activates DRG neurons. IL-17-evoked Ca2+ signals were attenuated by TRPV1 inhibition, consistent with nociceptor activation, and blocked by inhibition of phosphoinositide 3-kinase (PI3K) activity, consistent with the known role for PI3K as a downstream effector of IL-17 receptor signalling. In keeping with these observations, IL-17 enhanced murine colonic afferent responses to colorectal distension at noxious distension pressures, an effect also blocked by PI3K inhibition. Overall, these findings demonstrate a pro-nociceptive effect of IL-17 in the GI tract, thus highlighting the potential utility of IL-17-targeting therapies to reduce pain in people with UC.

neuroscience↗

HNRNPH1 regulates the neuroprotective cold-shock protein RBM3 expression through poison exon exclusion

Enhanced expression of the cold-shock protein RNA binding motif 3 (RBM3) is highly neuroprotective both in vitro and in vivo. Whilst upstream signalling pathways leading to RBM3 expression have been described, the precise molecular mechanism of RBM3 induction during cooling remains elusive. To identify temperature-dependent modulators of RBM3, we performed a genome-wide CRISPR-Cas9 knockout screen using RBM3-reporter human iPSC-derived neurons. We found that RBM3 mRNA and protein levels are robustly regulated by several splicing factors, with heterogeneous nuclear ribonucleoprotein H1 (HNRNPH1) being the strongest positive regulator. Splicing analysis revealed that moderate hypothermia significantly represses the inclusion of a poison exon, which, when retained, targets the mRNA for nonsense-mediated decay. Importantly, we show that HNRNPH1 mediates this cold-dependent exon skipping via its interaction with a G-rich motif within the poison exon. Our study provides novel mechanistic insights into the regulation of RBM3 and provides further targets for neuroprotective therapeutic strategies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/514062v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@ef0a5org.highwire.dtl.DTLVardef@d907a5org.highwire.dtl.DTLVardef@85176aorg.highwire.dtl.DTLVardef@1c4306a_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

NICEgame: A workflow for annotating the knowledge gaps in metabolic reconstructions, using known and hypothetical reactions

Advances in medicine and biotechnology rely on the further understanding of biological processes. Despite the increasingly available types and amounts of omics data, significant biochemical knowledge gaps remain uncharacterized. Several approaches have been developed during the past years to identify missing metabolic annotations in genome-scale. However, these approaches suggest missing metabolic reactions within a limited set of already characterized metabolic capabilities. In this study, we introduce NICEgame (Network Integrated Computational Explorer for Gap Annotation of Metabolism), a workflow to characterize missing metabolic capabilities in genome-scale metabolic models using the ATLAS of Biochemistry. NICEgame suggests alternative sets of known and hypothetical reactions to resolve gaps in metabolic networks, assesses their thermodynamic feasibility, and suggests candidate genes and proteins to catalyze the introduced reactions. We use gene essentiality data use to identify metabolic gaps in the latest genome-scale model of Escherichia coli, iML1515. We apply our gap-filling approach and further enhance its genome annotation, by suggesting reactions and putative genes to resolve 46 % of the false negative gene essentiality predictions.

systems biology↗