215 research outputs found

    La microfinanza in Europa

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    So far, the lack of consistent and reliable data on microfinance in Europe prevented the conduct a comprehensive analysis of the performance of Microfinance institutions (MFIs), especially their capacity to meet policy expectation in terms of social objectives and financial sustainability in the long term. We constructed an original longitudinal dataset of 357 European MFIs observed between 2006 and 2015, based on raw data from the European Microfinance Network (EMN) overview survey. We use this data to carry out the first in-depth analysis of trends in European microfinance and the interaction between social and financial performance during the period 2006-2013. It emerges that microfinance in Europe is a highly segmented and heterogeneous industry, both in terms of providers’ institutional characteristics and regional business models

    Un anno di #MeToo. Il costo delle molestie

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    A un anno dal primo #MeToo un gruppo di ricercatrici ha monitorato più di due milioni di Tweet per riflettere sul movimento e oggi lancia una sfida più grande: misurare quali sono i costi delle molestie sul lavor

    Novel CircRNA Discovery in Sheep Shows Evidence of High Backsplice Junction Conservation

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    Circular RNAs (circRNAs) are covalently closed circular non-coding RNAs. Due to their structure, circRNAs are more stable and have longer half-lives than linear RNAs making them good candidates for disease biomarkers. Despite the scientific relevance of these molecules, the study of circRNAs in non-model organisms is still in its infancy. Here, we analyse total RNA-seq data to identify circRNAs in sheep from peripheral blood mononuclear cells (PBMCs) and parietal lobe cortex. Out of 2510 and 3403 circRNAs detected in parietal lobe cortex and in PBMCs, a total of 1379 novel circRNAs were discovered. Remarkably, around 63% of all detected circRNAs were found to be completely homologous to a circRNA annotated in human. Functional enrichment analysis was conducted for both tissues based on GO terms and KEGG pathways. The enriched terms suggest an important role of circRNAs from encephalon in synaptic functions and the involvement of circRNAs from PBMCs in basic immune system functions. In addition to this, we investigated the role of circRNAs in repetitive vaccination experiments via differential expression analysis and did not detect any significant relationship. At last, our results support both the miRNA sponge and the miRNA shuttle functions of CDR1-AS in sheep brain. To our knowledge, this is the first study on circRNA annotation in sheep PBMCs or parietal lobe cortex samples.This work was supported by a Spanish Ministry of Economy grant AGL2013-49137-C3 to BMJ; EV-M is a predoctoral fellow from the University of the Basque Country (UPV/EHU) [PIF15/361] and received a grant for a short-term scientific mission (STSM) from the Functional Annotation of Animal Genomes—European network (FAANG-Europe) [COST Action CA15112

    Network-based brain computer interfaces: principles and applications

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    Brain-computer interfaces (BCIs) make possible to interact with the external environment by decoding the mental intention of individuals. BCIs can therefore be used to address basic neuroscience questions but also to unlock a variety of applications from exoskeleton control to neurofeedback (NFB) rehabilitation. In general, BCI usability critically depends on the ability to comprehensively characterize brain functioning and correctly identify the user s mental state. To this end, much of the efforts have focused on improving the classification algorithms taking into account localized brain activities as input features. Despite considerable improvement BCI performance is still unstable and, as a matter of fact, current features represent oversimplified descriptors of brain functioning. In the last decade, growing evidence has shown that the brain works as a networked system composed of multiple specialized and spatially distributed areas that dynamically integrate information. While more complex, looking at how remote brain regions functionally interact represents a grounded alternative to better describe brain functioning. Thanks to recent advances in network science, i.e. a modern field that draws on graph theory, statistical mechanics, data mining and inferential modelling, scientists have now powerful means to characterize complex brain networks derived from neuroimaging data. Notably, summary features can be extracted from these networks to quantitatively measure specific organizational properties across a variety of topological scales. In this topical review, we aim to provide the state-of-the-art supporting the development of a network theoretic approach as a promising tool for understanding BCIs and improve usability

    Proteomics coupled with AhR-reporter gene bioassay for human and environmental safety assessment of sewage sludge and hydrochar

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    Today application of sewage sludge (SL) and hydrochar (HC) in agriculture is a common practice for soil conditioning and crop fertilization, however safety concerns for human and environmental health due to the presence of toxic compounds have recently been expressed. Our aim was to test the suitability of proteomics coupled with bioanalytical tools for unravelling mixture effects of these applications in human and environmental safety assessment. We conducted proteomic and bioinformatic analysis of cell cultures used in the DR-CALUX® bioassay to identify proteins differentially abundant after exposure to SL and the corresponding HC, rather than only using the Bioanalytical Toxicity Equivalents (BEQs) obtained by DR-CALUX®. DR-CALUX® cells exposed to SL or HC showed a differential pattern of protein abundance depending on the type of SL and HC extract. The modified proteins are involved in antioxidant pathways, unfolded protein response and DNA damage that have close correlations with the effects of dioxin on biological systems and with onset of cancer and neurological disorders. Other cell response evidence suggested enrichment of heavy metals in the extracts. The present combined approach represents an advance in the application of bioanalytical tools for safety assessment of complex mixtures such as SL and HC. It proved successful in screening proteins, the abundance of which is determined by SL and HC and by the biological activity of legacy toxic compounds, including organohalogens

    Identification of a BAZ2A Bromodomain Hit Compound by Fragment Joining

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    The bromodomains of BAZ2A and BAZ2B (bromodomain adjacent to zinc finger domain proteins 2) are among the most hard to drug of the 61 human bromodomains. While little is known about the role of BAZ2B, there is strong evidence for the opportunity of targeting BAZ2A in various cancers. Here, a benzimidazole–triazole fragment that binds to the BAZ2A acetyl lysine pocket was identified by a molecular docking campaign and validated by competitive binding assays and X-ray crystallography. Another ligand was observed in close proximity by soaking experiments using the BAZ2A bromodomain preincubated with the benzimidazole–triazole fragment. The crystal structure of BAZ2A with the two ligands was employed to design a few benzimidazole–triazole derivatives with increased affinity. We also present the engineering of a BAZ2A bromodomain mutant for consistent, high-resolution crystallographic studies

    Advanced cellular models for rare disease study: exploring neural, muscle and skeletal organoids

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    Organoids are self-organized, three-dimensional structures derived from stem cells that can mimic the structure and physiology of human organs. Patient-specific induced pluripotent stem cells (iPSCs) and 3D organoid model systems allow cells to be analyzed in a controlled environment to simulate the characteristics of a given disease by modeling the underlying pathophysiology. The recent development of 3D cell models has offered the scientific community an exceptionally valuable tool in the study of rare diseases, overcoming the limited availability of biological samples and the limitations of animal models. This review provides an overview of iPSC models and genetic engineering techniques used to develop organoids. In particular, some of the models applied to the study of rare neuronal, muscular and skeletal diseases are described. Furthermore, the limitations and potential of developing new therapeutic approaches are discussed

    Identification of a BAZ2A-Bromodomain Hit Compound by Fragment Growing

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    BAZ2A is an epigenetic regulator affecting transcription of ribosomal RNA. It is overexpressed in aggressive and recurrent prostate cancer, promoting cellular migration. Its bromodomain is characterized by a shallow and difficult-to-drug pocket. Here, we describe a structure-based fragment-growing campaign for the identification of ligands of the BAZ2A bromodomain. By combining docking, competition binding assays, and protein crystallography, we have extensively explored the interactions of the ligands with the rim of the binding pocket, and in particular ionic interactions with the side chain of Glu1820, which is unique to BAZ2A. We present 23 high-resolution crystal structures of the holo BAZ2A bromodomain and analyze common bromodomain/ligand motifs and favorable intraligand interactions. Binding of some of the compounds is enantiospecific, with affinity in the low micromolar range. The most potent ligand has an equilibrium dissociation constant of 7 μM and a good selectivity over the paralog BAZ2B bromodomain

    Lingual cyst with respiratory epithelium: the importance of differential diagnosis

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    Lingual cyst with respiratory epithelium (LCRE) is a very rare congenital cyst of the tongue, floor of the mouth, pharynx or hypopharynx with 21 cases reported in the literature (1, 2). Differential diagnosis is very important for patients presenting with lingual cysts, as this may impact treatment and follow-up. LCRE should be included in the different diagnosis of dermoid cyst (3), teratoid cyst (4), epidermoid cyst (5), thyroglossal duct cyst (6), lymphoepithelial cyst (7), mucocele or ranula (8). Each entity has a peculiar histologic presentation, although the clinical aspect may be very similar (1). The dermoid cyst is lined by a keratinized squamous epithelium and contains skin appendages in the cyst. Epidermoid cyst is similar to the dermoid cyst but is characterized by non-keratinized squamous epithelium and has a lumen filled of keratin. Teratoid cyst contains derivatives of the endoderm, ectoderm and/or mesoderm. The thyroglossal duct cyst is usually lined by columnar, stratified squamous epithelium, or an intermediate transition type of epithelium, with the mandatory presence of thyroid tissue in the cyst wall. Lymphoepithelial cyst is identified by the presence of the lymphoid aggregates in the cyst wall. A mucous retention cyst, so called mucocele or ranula, contains mucin and granulation tissue (1)

    Bioresorbable Nanostructured Chemical Sensor for Monitoring of pH Level In Vivo

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    Here, the authors report on the manufacturing and in vivo assessment of a bioresorbable nanostructured pH sensor. The sensor consists of a micrometer-thick porous silica membrane conformably coated layer-by-layer with a nanometer-thick multilayer stack of two polyelectrolytes labeled with a pH-insensitive fluorophore. The sensor fluorescence changes linearly with the pH value in the range 4 to 7.5 upon swelling/shrinking of the polymer multilayer and enables performing real-time measurements of the pH level with high stability, reproducibility, and accuracy, over 100 h of continuous operation. In vivo studies carried out implanting the sensor in the subcutis on the back of mice confirm real-time monitoring of the local pH level through skin. Full degradation of the pH sensor occurs in one week from implant in the animal model, and its biocompatibility after 2 months is confirmed by histological and fluorescence analyses. The proposed approach can be extended to the detection of other (bio)markers in vivo by engineering the functionality of one (at least) of the polyelectrolytes with suitable receptors, thus paving the way to implantable bioresorbable chemical sensors
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