3,595 research outputs found

    Mirror Symmetry and smoothing Gorenstein toric affine 3-folds

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    We state two conjectures that together allow one to describe the set of smoothing components of a Gorenstein toric affine 3-fold in terms of a combinatorially defined and easily studied set of Laurent polynomials called 0-mutable polynomials. We explain the origin of the conjectures in mirror symmetry and present some of the evidence.Comment: 23 pages, 6 figures. The paper has been submitted to "Facets of Algebraic Geometry: A Volume in Honour of William Fulton's 80th Birthday

    Genome-wide transcription start site profiling in biofilm-grown Burkholderia cenocepacia J2315

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    Background: Burkholderia cenocepacia is a soil-dwelling Gram-negative Betaproteobacterium with an important role as opportunistic pathogen in humans. Infections with B. cenocepacia are very difficult to treat due to their high intrinsic resistance to most antibiotics. Biofilm formation further adds to their antibiotic resistance. B. cenocepacia harbours a large, multi-replicon genome with a high GC-content, the reference genome of strain J2315 includes 7374 annotated genes. This study aims to annotate transcription start sites and identify novel transcripts on a whole genome scale. Methods: RNA extracted from B. cenocepacia J2315 biofilms was analysed by differential RNA-sequencing and the resulting dataset compared to data derived from conventional, global RNA-sequencing. Transcription start sites were annotated and further analysed according to their position relative to annotated genes. Results: Four thousand ten transcription start sites were mapped over the whole B. cenocepacia genome and the primary transcription start site of 2089 genes expressed in B. cenocepacia biofilms were defined. For 64 genes a start codon alternative to the annotated one was proposed. Substantial antisense transcription for 105 genes and two novel protein coding sequences were identified. The distribution of internal transcription start sites can be used to identify genomic islands in B. cenocepacia. A potassium pump strongly induced only under biofilm conditions was found and 15 non-coding small RNAs highly expressed in biofilms were discovered. Conclusions: Mapping transcription start sites across the B. cenocepacia genome added relevant information to the J2315 annotation. Genes and novel regulatory RNAs putatively involved in B. cenocepacia biofilm formation were identified. These findings will help in understanding regulation of B. cenocepacia biofilm formation

    Cell segmentation of in situ transcriptomics data using signed graph partitioning

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    The locations of different mRNA molecules can be revealed by multiplexed in situ RNA detection. By assigning detected mRNA molecules to individual cells, it is possible to identify many different cell types in parallel. This in turn enables investigation of the spatial cellular architecture in tissue, which is crucial for furthering our understanding of biological processes and diseases. However, cell typing typically depends on the segmentation of cell nuclei, which is often done based on images of a DNA stain, such as DAPI. Limiting cell definition to a nuclear stain makes it fundamentally difficult to determine accurate cell borders, and thereby also difficult to assign mRNA molecules to the correct cell. As such, we have developed a computational tool that segments cells solely based on the local composition of mRNA molecules. First, a small neural network is trained to compute attractive and repulsive edges between pairs of mRNA molecules. The signed graph is then partitioned by a mutex watershed into components corresponding to different cells. We evaluated our method on two publicly available datasets and compared it against the current state-of-the-art and older baselines. We conclude that combining neural networks with combinatorial optimization is a promising approach for cell segmentation of in situ transcriptomics data.Comment: Accepted at GbRPR 2023: Graph-Based Representations in Pattern Recognitio

    The small RNA ncS35 regulates growth in Burkholderia cenocepacia J2315

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    Burkholderia cenocepacia J2315 is a member of the B. cepacia complex. It has a large genome with three replicons and one plasmid; 7,261 genes code for annotated proteins, while 113 code for functional RNAs. Small regulatory RNAs of B. cenocepacia have not yet been functionally characterized. We investigated a small regulatory RNA, designated ncS35, that was discovered by differential RNA sequencing. Its expression under various conditions was quantified, and a deletion mutant, Delta ncS35, was constructed. Compared to planktonic growth in a rich medium, the expression of ncS35 was elevated when B. cenocepacia 12315 was grown in biofilms and in minimal medium. Cells of the deletion mutant showed increased aggregation, higher metabolic activity, a higher growth rate, and an increased susceptibility to tobramycin. A transcriptomic analysis revealed upregulation of the phenylacetic acid and tryptophan degradation pathways in Delta ncS35. Computational target prediction indicated that ncS35 likely interacts with the first gene of the tryptophan degradation pathway. Overall, we demonstrated that small RNA ncS35 is a noncoding RNA with an attenuating effect on the metabolic rate and growth. It is possible that slower growth protects B. cenocepacia J2315 against stressors acting on fast-dividing cells and enhances survival under unfavorable conditions. IMPORTANCE Small RNAs play an important role in the survival of bacteria in diverse environments. We explored the physiological role of ncS35, a small RNA expressed in B. cenocepacia J2315, an opportunistic pathogen in cystic fibrosis patients. In cystic fibrosis patients, infections can lead to "cepacia syndrome," a rapidly progressing and often fatal pneumonia. Infections with Burkholderia spp. are difficult to threat with antibiotics because of their high intrinsic resistance and ability to form biofilms. We show that ncS35 attenuates the growth and reduces the metabolic rate of B. cenocepacia and influences biofilm structure. This demonstrates that as-yet-uncharacterized small RNAs with regulatory function can influence physiological traits of B. cenocepacia that are relevant for infection

    Militarisation of Governance After Conflict:Beyond the Rebel-to-Ruler Frame – The Case of Rwanda

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    In this article, we develop and expand the rebel-to-ruler literature to go beyond ‘rebel transformations’, in order to examine the transformation and militarisation of the entire post-genocide society in Rwanda. Through a historical and socio-political analysis of the military’s influence in post-genocide Rwanda, we argue that the adoption of military norms and ethos, drawn from an idealised and reconstructed pre-colonial history rather than simply an insurgent past, motivates the military’s centrality and penetration of all society’s sectors, economically, politically and socially, with the ultimate aim of retaining power in the hands of the rebels turned rulers. As such, the case demonstrates the need for an expansion of the rebel-to-ruler literature (1) beyond its concern with parties and regime type to a broader palette of governance effects and (2) beyond its singular focus on insurgent past and towards a longue-durée understanding of complementary causes.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    The small molecule ephrin receptor inhibitor, GLPG1790, Reduces renewal capabilities of cancer stem cells, showing anti-tumour efficacy on preclinical glioblastoma models

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    Therapies against glioblastoma (GBM) show a high percentage of failure associated with the survival of glioma stem cells (GSCs) that repopulate treated tumours. Forced differentiation of GSCs is a promising new approach in cancer treatment. Erythropoietin-producing hepatocellular (Eph) receptors drive tumourigenicity and stemness in GBM. We tested GLPG1790, a first small molecule with inhibition activity versus inhibitor of various Eph receptor kinases, in preclinical GBM models using in vitro and in vivo assays. GLPG1790 rapidly and persistently inhibited Ephrin-A1-mediated phosphorylation of Tyr588 and Ser897, completely blocking EphA2 receptor signalling. Similarly, this compound blocks the ephrin B2-mediated EphA3 and EphB4 tyrosine phosphorylation. This resulted in anti-glioma effects. GLPG1790 down-modulated the expression of mesenchymal markers CD44, Sox2, nestin, octamer-binding transcription factor 3/4 (Oct3/4), Nanog, CD90, and CD105, and up-regulated that of glial fibrillary acidic protein (GFAP) and pro-neural/neuronal markers, βIII tubulin, and neurofilaments. GLPG1790 reduced tumour growth in vivo. These effects were larger compared to radiation therapy (RT; U251 and T98G xenografts) and smaller than those of temozolomide (TMZ; U251 and U87MG cell models). By contrast, GLPG1790 showed effects that were higher than Radiotherapy (RT) and similar to Temozolomide (TMZ) in orthotopic U87MG and CSCs-5 models in terms of disease-free survival (DFS) and overall survival (OS). Further experiments were necessary to study possible interactions with radio- and chemotherapy. GLPG1790 demonstrated anti-tumor effects regulating both the differentiative status of Glioma Initiating Cells (GICs) and the quality of tumor microenvironment, translating into efficacy in aggressive GBM mouse models. Significant common molecular targets to radio and chemo therapy supported the combination use of GLPG1790 in ameliorative antiglioma therapy
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