106 research outputs found

    The redox potential of human Protein Disulphide Isomerase' a' domain, and further characterisation of hPDI's ligand binding behaviour

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    Protein Disulphide Isomerase (PDI) is a 57 kDa multi-domain protein found within the endoplasmic reticulum. PDI consists of four thioredoxin-like domains (named a and b) each containing five ?-sheets and four ?-helices in the conformation ?????????. The four domains are ordered in the sequence abb'xa'c; with a 19 amino acid x linker between the b' and a' domains, and an acidic tail, c, after the a' domain. PDI acts as an oxidoreductase and chaperone to help fold newly synthesized proteins into their native state through the formation of disulphide bonds via the oxidation of sulfhydryl groups of cysteines, as well as the rearrangement of mispaired disulphides in an isomerisation reaction. The catalytic domains responsible for the thiol/disulphide reactions are a and a', and one of the aims of this work is to determine the redox potential of the a' domain and how it is influenced by the adjacent b', x and c regions. Fragments of human PDI containing the a' domain were expressed in E.coli and their redox potential measured by 15N/1H NMR using mixtures of reduced and oxidised glutathione. The b' domain of PDI which is known to contain the primary binding site for unfolded substrates was also investigated. The interaction of the b'xa'c fragment to the PDI ligand ?-somatostatin fused to the carrier protein GB1 was used to investigate its binding behaviour by NMR in a range of different redox conditions

    Neurodegenerative Disease and the NLRP3 Inflammasome.

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    The prevalence of neurodegenerative disease has increased significantly in recent years, and with a rapidly aging global population, this trend is expected to continue. These diseases are characterised by a progressive neuronal loss in the brain or peripheral nervous system, and generally involve protein aggregation, as well as metabolic abnormalities and immune dysregulation. Although the vast majority of neurodegeneration is idiopathic, there are many known genetic and environmental triggers. In the past decade, research exploring low-grade systemic inflammation and its impact on the development and progression of neurodegenerative disease has increased. A particular research focus has been whether systemic inflammation arises only as a secondary effect of disease or is also a cause of pathology. The inflammasomes, and more specifically the NLRP3 inflammasome, a crucial component of the innate immune system, is usually activated in response to infection or tissue damage. Dysregulation of the NLRP3 inflammasome has been implicated in the progression of several neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, and prion diseases. This review aims to summarise current literature on the role of the NLRP3 inflammasome in the pathogenesis of neurodegenerative diseases, and recent work investigating NLRP3 inflammasome inhibition as a potential future therapy

    Random-effects substitution models for phylogenetics via scalable gradient approximations

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    Phylogenetic and discrete-trait evolutionary inference depend heavily on an appropriate characterization of the underlying character substitution process. In this paper, we present random-effects substitution models that extend common continuous-time Markov chain models into a richer class of processes capable of capturing a wider variety of substitution dynamics. As these random-effects substitution models often require many more parameters than their usual counterparts, inference can be both statistically and computationally challenging. Thus, we also propose an efficient approach to compute an approximation to the gradient of the data likelihood with respect to all unknown substitution model parameters. We demonstrate that this approximate gradient enables scaling of sampling-based inference, namely Bayesian inference via Hamiltonian Monte Carlo, under random-effects substitution models across large trees and state-spaces. Applied to a dataset of 583 SARS-CoV-2 sequences, an HKY model with random-effects shows strong signals of nonreversibility in the substitution process, and posterior predictive model checks clearly show that it is a more adequate model than a reversible model. When analyzing the pattern of phylogeographic spread of 1441 influenza A virus (H3N2) sequences between 14 regions, a random-effects phylogeographic substitution model infers that air travel volume adequately predicts almost all dispersal rates. A random-effects state-dependent substitution model reveals no evidence for an effect of arboreality on the swimming mode in the tree frog subfamily Hylinae. Simulations reveal that random-effects substitution models can accommodate both negligible and radical departures from the underlying base substitution model. We show that our gradient-based inference approach is over an order of magnitude more time efficient than conventional approaches

    International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways.

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    Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets from genome-wide association studies of European subjects (n=2,764 cases and 10,475 controls) followed by validation genotyping in an independent cohort (n=3,716 cases and 4,261 controls). We discover and validate six previously unknown risk loci for PBC (Pcombined<5 × 10(-8)) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalling and cytokine-cytokine pathways, for which relevant therapies exist

    International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways

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