850 research outputs found
Works by Francesco Rottman in Zagreb
Get PDFNakon smrti Francesca Robbe (1757.), njegovu je radionicu, zajedno s preostalim nedovršenim narudžbama za Zagrebačku katedralu, preuzeo Francesco Rottman. Rottmanova je radionica djelovala u drugoj polovici XVIII. stoljeća, a u Zagrebu joj se pripisuje nekolicina djela. Zajedno sa svojim pomoćnikom, Rottman je dovršio oltare svetih Gervazija i Protazija, Presv. Trojstva i sv. Emerika naručene još početkom stoljeća za katedralu. Od njih je očuvan samo oltar sv. Emerika koji se danas nalazi u crkvi sv. Ivana Krstitelja na Novoj Vesi, dok su preostala dva oltara očuvana tek u fragmentima što otežava potvrdu Rottmanova autorstva. U osmom je desetljeću XVIII. stoljeća ovaj venecijanski kipar ponovno iz Slovenije došao u Zagreb kako bi opremio crkvu Pohoda Blažene Djevice Marije na Dolcu gdje mu se pripisuju glavni oltar, četiri bočna oltara te propovjedaonica. Komparacijama je utvrđeno da je skulpture i oltare radio Rottman te da se na pojedinim djelima osjeća udio njegova pomoćnika. Za Rottmana je karakteristično klasicističko smirivanje i pojednostavljivanje uz prisutnost barokno dinamizirane draperije te ekspresivne fizionomije lica. Na njega je najviše utjecao rad Francesca Robbe, ali osjećaju se i utjecaji njegova učitelja Giuseppea Torretija te drugih velikih kiparskih ličnosti druge polovice XVIII. stoljeća
Educational Potential of Multilingual Picture Books in an EFL Classroom
Get PDFThis study was of an exploratory character and it looked into the educational potential
of multilingual picture books in an EFL classroom, as well as pupils’ and teachers’ attitudes
to such material. The study was done with 63 pupils and 30 teachers and the data was
collected through a questionnaire. The results of the study showed that attitudes to
multilingual picture books are generally positive and that both teachers and students
recognize the educational potential and advantages they offer. Furthermore, it was concluded
that multilingual picture books can be used to achieve various curricular aims: from
linguistic, cultural and educational to motivating children into learning additional foreign
languages
The social dimension of enlargement policy : social rights as a priority of enlargement, access to quality education. access to quality jobs, robust social protection and healthcare systems, EU-WB dialogue with a stronger social dimension
No full textAuthor: Mirna Jusi
Multilingualism in English language classrooms in Croatia: Can we think outside the box?
No full textIn order to strengthen the social cohesion and turn the linguistic heterogeneity into an asset, the Commission of the European Communities (2008) has set the promotion of multilingualism and language learning as one of its focal tasks. Having adopted the language policy which would enable EU citizens to communicate in two additional foreign languages alongside their mother tongue (Commission of the European Communities, 2008, p. 4), multilingualism (plurilingualism) has been set as an educational goal in the school systems of EU countries (European Commission 2017). Additionally, in the last 20 years, research on the educational aspect of multilingualism has intensified, encouraged by more or less empirically validated claims on the benefits of multilingualism and multiple language learning.At the same time, multilingualism in classrooms in the EU is becoming a norm. This is due to the fact that learners, besides majority language, also speak various regional languages, foreign languages, or migrant languages. As a result, in recent years, there has been an increase in the number of proposals of pluralistic approaches to languages and cultures and integrated language learning curricula which acknowledge learners’ previous linguistic knowledge (their linguistic repertoires). However, the linguistic situation isnot the same in all member countries. While the EU as a whole is faced with a growing level of multilingualism, both at a societal and individual level, the linguistic situation in Croatia is quite homogenous; with the vast majority of learners in Croatian classrooms being native speakers of the dominant language, Croatian. Although Croatia has a long history of foreign language learning, and its speakers are often proficient speakers of at least one foreign language, multilingualism at the Multilingualism in English language classrooms in Croatia: Can we think outside the box?
57individual level is almost exclusively the result of learning foreign languages in an additive manner as separate school subjects. Same as in many countries of the EU, English is most commonly the first foreign language learned at school, and there are voiced concerns that the hegemony of English may stand in the way of the promotion of multilingualism and additional language learning. When trying to strike a balance between available research and language policy recommendations at the EU level, and the implementation ofsuch policies at the level of member countries, it is necessary to look at numerous factors both directly and indirectly related to the socio-educational context in which it takes place. The implementation of educational policies depends inter aliaon teachers’ attitudes and beliefs as they underlie the choices teachers make in the classroom and the extent to which they accept new teaching approaches and strategies (Borg, 2003). In the light of the proposals that argue for approaches to teaching which soften the boundaries between languages (e.g., Cenoz & Gorter, 2015), we looked into the beliefs of English language teachers in Croatia whose classrooms are predominantly populated by learners with the same L1-Croatian. As many teachers may be multilingual, we were interested in their awareness of the potential it may have in their teaching practice and their attitudes to introducing other languages into their English language classrooms
Characterization and Comparative Profiling of MiRNA Transcriptomes in Bighead Carp and Silver Carp
No full textMicroRNAs (miRNAs) are small non-coding RNA molecules that are processed from large 'hairpin' precursors and function as post-transcriptional regulators of target genes. Although many individual miRNAs have recently been extensively studied, there has been very little research on miRNA transcriptomes in teleost fishes. By using high throughput sequencing technology, we have identified 167 and 166 conserved miRNAs (belonging to 108 families) in bighead carp (Hypophthalmichthys nobilis) and silver carp (Hypophthalmichthys molitrix), respectively. We compared the expression patterns of conserved miRNAs by means of hierarchical clustering analysis and log2 ratio. Results indicated that there is not a strong correlation between sequence conservation and expression conservation, most of these miRNAs have similar expression patterns. However, high expression differences were also identified for several individual miRNAs. Several miRNA* sequences were also found in our dataset and some of them may have regulatory functions. Two computational strategies were used to identify novel miRNAs from un-annotated data in the two carps. A first strategy based on zebrafish genome, identified 8 and 22 novel miRNAs in bighead carp and silver carp, respectively. We postulate that these miRNAs should also exist in the zebrafish, but the methodologies used have not allowed for their detection. In the second strategy we obtained several carp-specific miRNAs, 31 in bighead carp and 32 in silver carp, which showed low expression. Gain and loss of family members were observed in several miRNA families, which suggests that duplication of animal miRNA genes may occur through evolutionary processes which are similar to the protein-coding genes
Construction of miRNA-miRNA networks revealing the complexity of miRNA-mediated mechanisms in trastuzumab treated breast cancer cell lines
No full textTrastuzumab is a monoclonal antibody frequently used to prevent the progression of HER2+ breast cancers, which constitute approximately 20% of invasive breast cancers. microRNAs (miRNAs) are small, non-coding RNA molecules that are known to be involved in gene regulation. With their emerging roles in cancer, they are recently promoted as potential candidates to mediate therapeutic actions by targeting genes associated with drug response. In this study we explored miRNA-mediated regulation of trastuzumab mechanisms by identifying the important miRNAs responsible for the drug response via homogenous network analysis. Our network model enabled us to simplify the complexity of miRNA interactions by connecting them through their common pathways. We outlined the functionally relevant miRNAs by constructing pathway-based miRNA-miRNA networks in SKBR3 and BT474 cells, respectively. Identification of the most targeted genes revealed that trastuzumab responsive miRNAs favourably regulate the repression of targets with longer 3’UTR than average considered to be key elements, while the miRNA-miRNA networks highlighted central miRNAs such as hsa-miR-3976 and hsa-miR-3671 that showed strong interactions with the remaining members of the network. Furthermore, the clusters of the miRNA-miRNA networks showed that trastuzumab response was mostly established through cancer related and metabolic pathways. hsa-miR-216b was found to be the part of the most powerful interactions of metabolic pathways, which was defined in the largest clusters in both cell lines. The network based representation of miRNA-miRNA interactions through their shared pathways provided a better understanding of miRNA-mediated drug response and could be suggested for further characterization of miRNA functions. © 2017 Cilek et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Wo
RNA sequencing data integration reveals an miRNA interactome of osteoarthritis cartilage
No full textObjective To uncover the microRNA (miRNA) interactome of the osteoarthritis (OA) pathophysiological process in the cartilage.Methods We performed RNA sequencing in 130 samples (n=35 and n=30 pairs for messenger RNA (mRNA) and miRNA, respectively) on macroscopically preserved and lesioned OA cartilage from the same patient and performed differential expression (DE) analysis of miRNA and mRNAs. To build an OA-specific miRNA interactome, a prioritisation scheme was applied based on inverse Pearson’s correlations and inverse DE of miRNAs and mRNAs. Subsequently, these were filtered by those present in predicted (TargetScan/microT-CDS) and/or experimentally validated (miRTarBase/TarBase) public databases. Pathway enrichment analysis was applied to elucidate OA-related pathways likely mediated by miRNA regulatory mechanisms.Results We found 142 miRNAs and 2387 mRNAs to be differentially expressed between lesioned and preserved OA articular cartilage. After applying prioritisation towards likely miRNA-mRNA targets, a regulatory network of 62 miRNAs targeting 238 mRNAs was created. Subsequent pathway enrichment analysis of these mRNAs (or genes) elucidated that genes within the ‘nervous system development’ are likely mediated by miRNA regulatory mechanisms (familywise error=8.4×10−5). Herein NTF3 encodes neurotrophin-3, which controls survival and differentiation of neurons and which is closely related to the nerve growth factor.Conclusions By an integrated approach of miRNA and mRNA sequencing data of OA cartilage, an OA miRNA interactome and related pathways were elucidated. Our functional data demonstrated interacting levels at which miRNA affects expression of genes in the cartilage and exemplified the complexity of functionally validating a network of genes that may be targeted by multiple miRNAs.Pattern Recognition and Bioinformatic
Construction of miRNA-miRNA networks revealing the complexity of miRNA-mediated mechanisms in trastuzumab treated breast cancer cell lines
No full textTrastuzumab is a monoclonal antibody frequently used to prevent the progression of HER2+ breast cancers, which constitute approximately 20% of invasive breast cancers. microRNAs (miRNAs) are small, non-coding RNA molecules that are known to be involved in gene regulation. With their emerging roles in cancer, they are recently promoted as potential candidates to mediate therapeutic actions by targeting genes associated with drug response. In this study we explored miRNA-mediated regulation of trastuzumab mechanisms by identifying the important miRNAs responsible for the drug response via homogenous network analysis. Our network model enabled us to simplify the complexity of miRNA interactions by connecting them through their common pathways. We outlined the functionally relevant miRNAs by constructing pathway-based miRNA-miRNA networks in SKBR3 and BT474 cells, respectively. Identification of the most targeted genes revealed that trastuzumab responsive miRNAs favourably regulate the repression of targets with longer 3’UTR than average considered to be key elements, while the miRNA-miRNA networks highlighted central miRNAs such as hsa-miR-3976 and hsa-miR-3671 that showed strong interactions with the remaining members of the network. Furthermore, the clusters of the miRNA-miRNA networks showed that trastuzumab response was mostly established through cancer related and metabolic pathways. hsa-miR-216b was found to be the part of the most powerful interactions of metabolic pathways, which was defined in the largest clusters in both cell lines. The network based representation of miRNA-miRNA interactions through their shared pathways provided a better understanding of miRNA-mediated drug response and could be suggested for further characterization of miRNA functions. © 2017 Cilek et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.WosScopu
3 ' LIFE: a functional assay to detect miRNA targets in high-throughput
Get PDFabstract: MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene output at the post-transcriptional level by targeting degenerate elements primarily in 3′untranslated regions (3′UTRs) of mRNAs. Individual miRNAs can regulate networks of hundreds of genes, yet for the majority of miRNAs few, if any, targets are known. Misexpression of miRNAs is also a major contributor to cancer progression, thus there is a critical need to validate miRNA targets in high-throughput to understand miRNAs' contribution to tumorigenesis. Here we introduce a novel high-throughput assay to detect miRNA targets in 3′UTRs, called Luminescent Identification of Functional Elements in 3′UTRs (3′LIFE). We demonstrate the feasibility of 3′LIFE using a data set of 275 human 3′UTRs and two cancer-relevant miRNAs, let-7c and miR-10b, and compare our results to alternative methods to detect miRNA targets throughout the genome. We identify a large number of novel gene targets for these miRNAs, with only 32% of hits being bioinformatically predicted and 27% directed by non-canonical interactions. Functional analysis of target genes reveals consistent roles for each miRNA as either a tumor suppressor (let-7c) or oncogenic miRNA (miR-10b), and preferentially target multiple genes within regulatory networks, suggesting 3′LIFE is a rapid and sensitive method to detect miRNA targets in high-throughput
A message passing framework with multiple data integration for miRNA-disease association prediction
Get PDFMicro RNA or miRNA is a highly conserved class of non-coding RNA that plays an important role in many diseases. Identifying miRNA-disease associations can pave the way for better clinical diagnosis and finding potential drug targets. We propose a biologically-motivated data-driven approach for the miRNA-disease association prediction, which overcomes the data scarcity problem by exploiting information from multiple data sources. The key idea is to enrich the existing miRNA/disease-protein-coding gene (PCG) associations via a message passing framework, followed by the use of disease ontology information for further feature filtering. The enriched and filtered PCG associations are then used to construct the inter-connected miRNA-PCG-disease network to train a structural deep network embedding (SDNE) model. Finally, the pre-trained embeddings and the biologically relevant features from the miRNA family and disease semantic similarity are concatenated to form the pair input representations to a Random Forest classifier whose task is to predict the miRNA-disease association probabilities. We present large-scale comparative experiments, ablation, and case studies to showcase our approach’s superiority. Besides, we make the model prediction results for 1618 miRNAs and 3679 diseases, along with all related information, publicly available at http://software.mpm.leibniz-ai-lab.de/ to foster assessments and future adoption.Multimedia Computin
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