37 research outputs found

    Expression of Ovine Herpesvirus -2 Encoded MicroRNAs in an Immortalised Bovine - Cell Line

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    Ovine herpesvirus-2 (OvHV-2) infects most sheep, where it establishes an asymptomatic, latent infection. Infection of susceptible hosts e.g. cattle and deer results in malignant catarrhal fever, a fatal lymphoproliferative disease characterised by uncontrolled lymphocyte proliferation and non MHC restricted cytotoxicity. The same cell populations are infected in both cattle and sheep but only in cattle does virus infection cause dysregulation of cell function leading to disease. The mechanism by which OvHV-2 induces this uncontrolled proliferation is unknown. A number of herpesviruses have been shown to encode microRNAs (miRNAs) that have roles in control of both viral and cellular gene expression. We hypothesised that OvHV-2 encodes miRNAs and that these play a role in pathogenesis. Analysis of massively parallel sequencing data from an OvHV-2 persistently-infected bovine lymphoid cell line (BJ1035) identified forty-five possible virus-encoded miRNAs. We previously confirmed the expression of eight OvHV-2 miRNAs by northern hybridization. In this study we used RT-PCR to confirm the expression of an additional twenty-seven OvHV-2-encoded miRNAs. All thirty-five OvHV-2 miRNAs are expressed from the same virus genome strand and the majority (30) are encoded in an approximately 9 kb region that contains no predicted virus open reading frames. Future identification of the cellular and virus targets of these miRNAs will inform our understanding of MCF pathogenesis

    Down-Regulation of miR-92 in Breast Epithelial Cells and in Normal but Not Tumour Fibroblasts Contributes to Breast Carcinogenesis

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    Background MicroRNA (miR) expression is commonly dysregulated in many cancers, including breast. MiR–92 is one of six miRs encoded by the miR-17-92 cluster, one of the best-characterised oncogenic miR clusters. We examined expression of miR–92 in the breast epithelium and stroma during breast cancer progression. We also investigated the role of miR–92 in fibroblasts in vitro and showed that down-regulation in normal fibroblasts enhances the invasion of breast cancer epithelial cells. Methodology/Principal Findings We used laser microdissection (LMD) to isolate epithelial cells from matched normal, DCIS and invasive tissue from 9 breast cancer patients and analysed miR–92 expression by qRT-PCR. Expression of ERÎČ1, a direct miR–92 target, was concurrently analysed for each case by immunohistochemistry. LMD was also used to isolate matched normal (NFs) and cancer-associated fibroblasts (CAFs) from 14 further cases. Effects of miR–92 inhibition in fibroblasts on epithelial cell invasion in vitro was examined using a Matrigelℱ assay. miR– 92 levels decreased in microdissected epithelial cells during breast cancer progression with highest levels in normal breast epithelium, decreasing in DCIS (p<0.01) and being lowest in invasive breast tissue (p<0.01). This was accompanied by a shift in cell localisation of ERÎČ1 from nuclear expression in normal breast epithelium to increased cytoplasmic expression during progression to DCIS (p = 0.0078) and invasive breast cancer (p = 0.031). ERÎČ1 immunoreactivity was also seen in stromal fibroblasts in tissues. Where miR–92 expression was low in microdissected NFs this increased in matched CAFs; a trend also seen in cultured primary fibroblasts. Down-regulation of miR–92 levels in NFs but not CAFs enhanced invasion of both MCF–7 and MDA-MB–231 breast cancer epithelial cells. Conclusions miR–92 is gradually lost in breast epithelial cells during cancer progression correlating with a shift in ERÎČ1 immunoreactivity from nuclei to the cytoplasm. Our data support a functional role in fibroblasts where modification of miR–92 expression can influence the invasive capacity of breast cancer epithelial cells. However in silico analysis suggests that ERÎČ1 may not be the most important miR–92 target in breast cancer

    Correction to: Cluster identification, selection, and description in Cluster randomized crossover trials: the PREP-IT trials

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    An amendment to this paper has been published and can be accessed via the original article

    Patient and stakeholder engagement learnings: PREP-IT as a case study

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    Measurement of Fe (II) in Waters using Flow Injection Analysis (Gulf of Bothnia, Sweden)

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    A new Ph.D research project was started early October into the Department of Civil, Environmental and Natural Resources Engineering at LuleÄ University of Technology (LTU) by Sarah CONRAD under the direction of Johan INGRI. The part of this project in which I participed was the determination of the concentration of Fe (II) by flow injection analysis using chemiluminescence in the Bothnia Bay. The missions were to handle the instrument and the software and to prepare also some sample standards for the calibration of the FIA. The stream water is first sampled and filtered. Then the water, containing either just the natural iron in the water or after addition of artificial iron, is analyzed by flow injection analysis in combination with luminol. The results are saved on the laptop and interpreted later. The experiments were performed on both the field and the laboratory of the University.Validerat; 20131008 (global_studentproject_submitter)</p

    CULTIVATE Critical Thinking in AI: AI Pedagogy

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    Project CULTIVATE\u27s AI pedagogical model presents a series of thinking skills that students can use with AI effectively. The session covers the pedagogical model, guiding students in building questions for AI, fostering higher-order thinking skills in the integration of AI results, and addressing AI ethics. It offers theoretical insights, practical strategies, and interactive learning, concluding with a Q&A segment

    Geomorphological classification in Bay of Biscay. Morpho-sedimentary mapping of the seabed in selected areas

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    Les coraux d’eau froide, contrairement aux coraux tropicaux, n’ont pas besoin de lumiĂšre et peuvent se dĂ©velopper en profondeur. Les espĂšces constructrices comme Lophelia pertusa et Madrepora occulata ont une distribution mondiale et sont prĂ©sentes de la NorvĂšge Ă  la GrĂšce sous forme de monts carbonatĂ©s ou de rĂ©cifs. MenacĂ©s par l’évolution des conditions environnementales et les actions anthropiques, les coraux d’eau froide sont actuellement classĂ©s comme Ă©cosystĂšme vulnĂ©rable par plusieurs institutions internationales. Dans les eaux europĂ©ennes, les indicateurs pour mesurer l’impact des pĂȘcheries et l’efficacitĂ© des mesures de protection manquent encore. Le projet europĂ©en CoralFish vise Ă  Ă©tudier l’interaction entre les coraux, les poissons et les pĂȘcheries par une approche Ă©cosystĂ©mique. Un des objectifs de cette Ă©tude est de caractĂ©riser leurs habitats Ă  partir des formes gĂ©ologiques des fonds marins

    A systems biology view of responses to lignin biosynthesis perturbations in <em>Arabidopsis</em>

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    Lignin engineering is an attractive strategy to improve lignocellulosic biomass quality for processing to biofuels and other bio-based products. However, lignin engineering also results in profound metabolic consequences in the plant. We used a systems biology approach to study the plant's response to lignin perturbations. To this end, inflorescence stems of 20 Arabidopsis thaliana mutants, each mutated in a single gene of the lignin biosynthetic pathway (phenylalanine ammonia-lyase1 [PAL1], PAL2, cinnamate 4-hydroxylase [C4H], 4-coumarate:CoA ligase1 [4CL1], 4CL2, caffeoyl-CoA O-methyltransferase1 [CCoAOMT1], cinnamoyl-CoA reductase1 [CCR1], ferulate 5-hydroxylase [F5H1], caffeic acid O-methyltransferase [COMT], and cinnamyl alcohol dehydrogenase6 [CAD6], two mutant alleles each), were analyzed by transcriptomics and metabolomics. A total of 566 compounds were detected, of which 187 could be tentatively identified based on mass spectrometry fragmentation and many were new for Arabidopsis. Up to 675 genes were differentially expressed in mutants that did not have any obvious visible phenotypes. Comparing the responses of all mutants indicated that c4h, 4cl1, ccoaomt1, and ccr1, mutants that produced less lignin, upregulated the shikimate, methyl-donor, and phenylpropanoid pathways (i.e., the pathways supplying the monolignols). By contrast, f5h1 and comt, mutants that provoked lignin compositional shifts, downregulated the very same pathways. Reductions in the flux to lignin were associated with the accumulation of various classes of 4-O- and 9-O-hexosylated phenylpropanoids. By combining metabolomic and transcriptomic data in a correlation network, system-wide consequences of the perturbations were revealed and genes with a putative role in phenolic metabolism were identified. Together, our data provide insight into lignin biosynthesis and the metabolic network it is embedded in and provide a systems view of the plant's response to pathway perturbations
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