Search results for "NETWORK"

showing 10 items of 7718 documents

2017

Strategies for promoting neural regeneration are hindered by the difficulty of manipulating desired neural fates in the brain without complex genetic methods. The subventricular zone (SVZ) is the largest germinal zone of the forebrain and is responsible for the lifelong generation of interneuron subtypes and oligodendrocytes. Here, we have performed a bioinformatics analysis of the transcriptome of dorsal and lateral SVZ in early postnatal mice, including neural stem cells (NSCs) and their immediate progenies, which generate distinct neural lineages. We identified multiple signaling pathways that trigger distinct downstream transcriptional networks to regulate the diversity of neural cells …

0301 basic medicineRegulation of gene expressionGeneticsGeneral Immunology and Microbiologyanimal diseasesGeneral NeuroscienceNeurogenesisGene regulatory networkNotch signaling pathwaySubventricular zoneBiologyGeneral Biochemistry Genetics and Molecular BiologyNeural stem cellTranscriptome03 medical and health sciences030104 developmental biologymedicine.anatomical_structurenervous systemForebrainmedicineGeneral Agricultural and Biological SciencesNeurosciencePLOS Biology
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The ribosome assembly gene network is controlled by the feedback regulation of transcription elongation

2017

Ribosome assembly requires the concerted expression of hundreds of genes, which are transcribed by all three nuclear RNA polymerases. Transcription elongation involves dynamic interactions between RNA polymerases and chromatin. We performed a synthetic lethal screening in Saccharomyces cerevisiae with a conditional allele of SPT6, which encodes one of the factors that facilitates this process. Some of these synthetic mutants corresponded to factors that facilitate pre-rRNA processing and ribosome biogenesis. We found that the in vivo depletion of one of these factors, Arb1, activated transcription elongation in the set of genes involved directly in ribosome assembly. Under these depletion c…

0301 basic medicineRibosomal ProteinsSaccharomyces cerevisiae ProteinsTranscription Elongation GeneticCèl·lulesÀcids nucleicsGene regulatory networkRibosome biogenesisSaccharomyces cerevisiaeBiologyRibosome assembly03 medical and health sciencesRegulació genèticaGeneticsGene Regulatory NetworksHistone ChaperonesRNA Processing Post-TranscriptionalGeneAdenosine TriphosphatasesFeedback PhysiologicalMessenger RNAOrganelle BiogenesisGene regulation Chromatin and EpigeneticsRNAChromatinCell biology030104 developmental biologyRNA RibosomalMutationATP-Binding Cassette TransportersOrganelle biogenesisTranscriptional Elongation FactorsSynthetic Lethal MutationsTranscriptomeRibosomes
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Nuclear inclusions of pathogenic ataxin-1 induce oxidative stress and perturb the protein synthesis machinery

2020

Spinocerebellar ataxia type-1 (SCA1) is caused by an abnormally expanded polyglutamine (polyQ) tract in ataxin-1. These expansions are responsible for protein misfolding and self-assembly into intranuclear inclusion bodies (IIBs) that are somehow linked to neuronal death. However, owing to lack of a suitable cellular model, the downstream consequences of IIB formation are yet to be resolved. Here, we describe a nuclear protein aggregation model of pathogenic human ataxin-1 and characterize IIB effects. Using an inducible Sleeping Beauty transposon system, we overexpressed the ATXN1(Q82) gene in human mesenchymal stem cells that are resistant to the early cytotoxic effects caused by the expr…

0301 basic medicineSCA1 Spinocerebellar ataxia type-1Intranuclear Inclusion BodiesClinical BiochemistryMSC mesenchymal stem cellProtein aggregationBiochemistry0302 clinical medicineMutant proteinProtein biosynthesisDE differentially expressed genesNuclear proteinlcsh:QH301-705.5FTIR Fourier-transform infrared spectroscopyAtaxin-1lcsh:R5-920biologyChemistryNuclear ProteinspolyQ polyglutamineRibosomeCell biologySB Sleeping BeautyRibosome ; Polyglutamine ; Ataxin-1 ; Oxidative stress ; Transposon ; Sleeping beauty transposon ; Protein networkSpinocerebellar ataxiaProtein foldingCellular modelFunction and Dysfunction of the Nervous Systemlcsh:Medicine (General)Research PaperiPSC induced pluripotent stem cellAtaxin 1Nerve Tissue ProteinsPPI protein-protein interaction03 medical and health sciencesROS reactive oxygen speciesProtein networkSleeping beauty transposonGSEA Gene Set Enrichment AnalysismedicineHumansNPC neural progenitor cellOrganic Chemistrymedicine.diseaseAFM atomic force microscopyOxidative Stress030104 developmental biologylcsh:Biology (General)IIBs intranuclear inclusion bodiesMS mass spectrometryCardiovascular and Metabolic Diseasesbiology.proteinPolyglutamine030217 neurology & neurosurgery
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GSaaS: A Service to Cloudify and Schedule GPUs

2018

Cloud technology is an attractive infrastructure solution that provides customers with an almost unlimited on-demand computational capacity using a pay-per-use approach, and allows data centers to increase their energy and economic savings by adopting a virtualized resource sharing model. However, resources such as graphics processing units (GPUs), have not been fully adapted to this model. Although, general-purpose computing on graphics processing units (GPGPU) is becoming more and more popular, cloud providers lack of flexibility to manage accelerators, because of the extended use of peripheral component interconnect (PCI) passthrough techniques to attach GPUs to virtual machines (VMs). F…

0301 basic medicineScheduleGeneral Computer ScienceComputer scienceDistributed computingnetworkingCloud computing02 engineering and technologycomputer.software_genre03 medical and health sciencesGPU resource management020204 information systems0202 electrical engineering electronic engineering information engineeringCloud computingGeneral Materials ScienceResource managementplatform virtualizationbusiness.industrycloud computingGeneral EngineeringVirtualizationShared resource030104 developmental biologyVirtual machineScalabilityGPU cloudificationlcsh:Electrical engineering. Electronics. Nuclear engineeringGeneral-purpose computing on graphics processing unitsbusinesscomputerlcsh:TK1-9971IEEE Access
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Fragments of peer review: A quantitative analysis of the literature (1969-2015)

2018

This paper examines research on peer review between 1969 and 2015 by looking at records indexed from the Scopus database. Although it is often argued that peer review has been poorly investigated, we found that the number of publications in this field doubled from 2005. A half of this work was indexed as research articles, a third as editorial notes and literature reviews and the rest were book chapters or letters. We identified the most prolific and influential scholars, the most cited publications and the most important journals in the field. Co-authorship network analysis showed that research on peer review is fragmented, with the largest group of co-authors including only 2.1% of the wh…

0301 basic medicineScience and Technology WorkforceResearch Quality Assessmentlcsh:MedicineCareers in ResearchPeer review co-authorship collaboration communityCitation analysisCentralityData MiningSociologylcsh:ScienceMultidisciplinary05 social sciencesScientometricsco-authorshipResearch AssessmentKnowledge sharingProfessionsCitation AnalysiscommunityNetwork AnalysisResearch ArticleComputer and Information SciencesScience PolicyAbstracting and IndexingPeer ReviewAbstracting and Indexing as Topic ; Animals ; Data Mining ; Databases Bibliographic ; History 20th Century ; History 21st Century ; Humans ; Peer ReviewScopusLibrary science050905 science studiesResearch and Analysis MethodsHistory 21st Century03 medical and health sciencesAnimalsHumansScientific Publishinglcsh:RScientometricsHistory 20th CenturyDatabases Bibliographiccollaboration030104 developmental biologyQuantitative analysis (finance)People and PlacesScientistslcsh:QPopulation Groupings0509 other social sciencesScientific publishingCentrality
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Demo

2017

We present an innovative smartphone-centric tracking system for indoor and outdoor environments, based on the joint utilization of dead-reckoning and computer vision (CV) techniques. The system is explicitly designed for visually impaired people (although it could be easily generalized to other users) and it is built under the assumption that special reference signals, such as painted lines, colored tapes or tactile pavings are deployed in the environment for guiding visually impaired users along pre-defined paths. Thanks to highly optimized software, we are able to execute the CV and sensor-fusion algorithms in run-time on low power hardware such as a normal smartphone, precisely tracking …

0301 basic medicineSensor FusionComputer scienceVisually impairedbusiness.industry05 social sciencesTracking systemSensor fusionNavigation03 medical and health sciencesComputer Networks and Communication030104 developmental biologySoftwareColoredHardware and ArchitectureLocalization0501 psychology and cognitive sciencesComputer visionArtificial intelligenceVisually ImpairedbusinessJoint (audio engineering)Software050107 human factorsProceedings of the 23rd Annual International Conference on Mobile Computing and Networking
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Clustering of low-correlated spatial gene expression patterns in the mouse brain in the Allen Brain Atlas

2018

In this paper, clustering techniques are applied to spatial gene expression patterns with a low genomic correlation between the sagittal and coronal projections. The data analysed here are hosted on an available public DB named ABA (Allen Brain Atlas). The results are compared to those obtained by Bohland et al. on the complementary dataset (high correlation values). We prove that, by analysing a reduced dataset,hence reducing the computational burden, we get the same accuracy in highlighting different neuroanatomical region.

0301 basic medicineSettore INF/01 - InformaticaComputer scienceBrain atlasComputer Science ApplicationGenomicsComputational biologySagittal planeCorrelation03 medical and health sciences030104 developmental biology0302 clinical medicinemedicine.anatomical_structureComputer Networks and CommunicationHardware and ArchitectureCoronal planeGene expressionmedicineComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringCluster analysis030217 neurology & neurosurgery
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Discovering discriminative graph patterns from gene expression data

2016

We consider the problem of mining gene expression data in order to single out interesting features characterizing healthy/unhealthy samples of an input dataset. We present an approach based on a network model of the input gene expression data, where there is a labelled graph for each sample. To the best of our knowledge, this is the first attempt to build a different graph for each sample and, then, to have a database of graphs for representing a sample set. Our main goal is that of singling out interesting differences between healthy and unhealthy samples, through the extraction of "discriminative patterns" among graphs belonging to the two different sample sets. Differently from the other…

0301 basic medicineSettore INF/01 - Informaticabusiness.industryComputer science0206 medical engineeringpattern discovery subgraph extraction biological networksPattern recognition02 engineering and technologyGraph03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyDiscriminative modelGraph patternsArtificial intelligencebusiness020602 bioinformaticsBiological networkNetwork modelProceedings of the 31st Annual ACM Symposium on Applied Computing
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Recurrent Deep Neural Networks for Nucleosome Classification

2020

Nucleosomes are the fundamental repeating unit of chromatin. A nucleosome is an 8 histone proteins complex, in which approximately 147–150 pairs of DNA bases bind. Several biological studies have clearly stated that the regulation of cell type-specific gene activities are influenced by nucleosome positioning. Bioinformatic studies have improved those results showing proof of sequence specificity in nucleosomes’ DNA fragment. In this work, we present a recurrent neural network that uses nucleosome sequence features representation for their classification. In particular, we implement an architecture which stacks convolutional and long short-term memory layers, with the main purpose to avoid t…

0301 basic medicineSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaComputer scienceComputational biologyChromatin03 medical and health scienceschemistry.chemical_compound030104 developmental biologyHistoneRecurrent neural networkchemistryFragment (logic)biology.proteinNucleosomeNucleosome classification Epigenetic Deep learning networks Recurrent Neural NetworksGeneDNASequence (medicine)
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Retrieving infinite numbers of patterns in a spin-glass model of immune networks

2013

The similarity between neural and immune networks has been known for decades, but so far we did not understand the mechanism that allows the immune system, unlike associative neural networks, to recall and execute a large number of memorized defense strategies {\em in parallel}. The explanation turns out to lie in the network topology. Neurons interact typically with a large number of other neurons, whereas interactions among lymphocytes in immune networks are very specific, and described by graphs with finite connectivity. In this paper we use replica techniques to solve a statistical mechanical immune network model with `coordinator branches' (T-cells) and `effector branches' (B-cells), a…

0301 basic medicineSimilarity (geometry)Spin glassComputer sciencestatistical mechanicFOS: Physical sciencesGeneral Physics and AstronomyNetwork topologyTopology01 natural sciencesQuantitative Biology::Cell Behavior03 medical and health sciencesCell Behavior (q-bio.CB)0103 physical sciencesattractor neural-networks; statistical mechanics; brain networks; Physics and Astronomy (all)Physics - Biological Physics010306 general physicsAssociative propertybrain networkArtificial neural networkMechanism (biology)ErgodicityDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAcquired immune system030104 developmental biologyBiological Physics (physics.bio-ph)FOS: Biological sciencesattractor neural-networkQuantitative Biology - Cell Behavior
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