Search results for " regulatory"

showing 10 items of 556 documents

Computational annotation of genes differentially expressed along olive fruit development

2009

Abstract Background Olea europaea L. is a traditional tree crop of the Mediterranean basin with a worldwide economical high impact. Differently from other fruit tree species, little is known about the physiological and molecular basis of the olive fruit development and a few sequences of genes and gene products are available for olive in public databases. This study deals with the identification of large sets of differentially expressed genes in developing olive fruits and the subsequent computational annotation by means of different software. Results mRNA from fruits of the cv. Leccino sampled at three different stages [i.e., initial fruit set (stage 1), completed pit hardening (stage 2) a…

DNA PlantBERRY DEVELOPMENTGenomicsComputational biologyPlant ScienceBiologyGenes PlantGenomeGene Expression Regulation PlantOlealcsh:BotanyBotanyCluster AnalysisFUNCTIONAL GENOMICSGene Regulatory NetworksKEGGBlast2GOGene LibraryExpressed sequence tagGene Expression ProfilingComputational BiologySequence Analysis DNAGRAPE BERRIESREDUCTASE GENEEST DATABASEOLEA-EUROPAEAlcsh:QK1-989Gene expression profilingOLEA-EUROPAEA; SEQUENCE TAGS; TRANSIENT EXPRESSION; FUNCTIONAL GENOMICS; BERRY DEVELOPMENT; POTENTIAL ROLES; DESATURASE GENE; REDUCTASE GENE; GRAPE BERRIES; EST DATABASESuppression subtractive hybridizationFruitPOTENTIAL ROLESDESATURASE GENETRANSIENT EXPRESSIONFunctional genomicsMetabolic Networks and PathwaysSEQUENCE TAGSResearch ArticleBMC Plant Biology
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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Author response: Early asymmetric cues triggering the dorsal/ventral gene regulatory network of the sea urchin embryo

2014

Dorsal ventralGene regulatory networkSea urchin embryoBiologyCell biology
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Impact of microRNAs in Resistance to Chemotherapy and Novel Targeted Agents in Non-Small Cell Lung Cancer

2014

Despite recent advances in understanding the cancer signaling pathways and in developing new therapeutic strategies, non-small cell lung cancer (NSCLC) shows grim prognosis and high incidence of recurrence. Insufficient dis- ruption of oncogenic signaling and drug resistance are the most common causes of tumor recurrence. Drug resistance, in- trinsic or acquired, represents a main obstacle in NSCLC therapeutics by limiting the efficacy both of conventional che- motherapeutic compounds and new targeted agents. Therefore, novel and more innovative approaches are required for treatment of this tumor. MicroRNAs (miRNAs) are a family of small non-coding RNAs that regulate gene expression by sequ…

DrugSettore MED/06 - Oncologia Medicamedia_common.quotation_subjectGene regulatory networkPharmaceutical ScienceAntineoplastic AgentsDrug resistanceBiologyBioinformaticsCarcinoma Non-Small-Cell LungmicroRNAmedicineAnimalsHumansLung cancerBiologymedia_commonPharmacology. TherapyCell cyclemedicine.diseaseMicroRNAsChemistryDrug Resistance NeoplasmChemotherapy lung cancer microRNA oncogenic pathways resistance targeted agentsCancer cellSignal transductionSettore MED/46 - Scienze Tecniche Di Medicina Di LaboratorioBiotechnology
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Inferring slowly-changing dynamic gene-regulatory networks

2015

Dynamic gene-regulatory networks are complex since the interaction patterns between their components mean that it is impossible to study parts of the network in separation. This holistic character of gene-regulatory networks poses a real challenge to any type of modelling. Graphical models are a class of models that connect the network with a conditional independence relationships between random variables. By interpreting these random variables as gene activities and the conditional independence relationships as functional non-relatedness, graphical models have been used to describe gene-regulatory networks. Whereas the literature has been focused on static networks, most time-course experi…

Dynamic network analysisL1 penalized inferenceComputer scienceT-LymphocytesGene regulatory networkgene regulatory networkMachine learningcomputer.software_genreBiochemistrygene-regulatory networksStructural Biologygraphical modelscomputer simulationT lymphocyteHumansGene Regulatory NetworkshumanGraphical modelMolecular Biologylymphocyte activationClass (computer programming)Models Statisticalalgorithmbusiness.industryResearchApplied Mathematicsstatistical modelStatistical modelComplex networkQuantitative Biology::GenomicsComputer Science ApplicationsComputingMethodologies_PATTERNRECOGNITIONConditional independencemicroarray analysisComputingMethodologies_GENERALArtificial intelligencebusinessmetabolismRandom variablecomputerAlgorithmsBMC Bioinformatics
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Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination

2012

Network inference deals with the reconstruction of biological networks from experimental data. A variety of different reverse engineering techniques are available; they differ in the underlying assumptions and mathematical models used. One common problem for all approaches stems from the complexity of the task, due to the combinatorial explosion of different network topologies for increasing network size. To handle this problem, constraints are frequently used, for example on the node degree, number of edges, or constraints on regulation functions between network components. We propose to exploit topological considerations in the inference of gene regulatory networks. Such systems are often…

Dynamic network analysisTranscription GeneticMicroarraysSciencePosterior probabilityGene regulatory networkBiologycomputer.software_genreBioinformaticsNetwork topology03 medical and health sciences0302 clinical medicineYeastsGeneticsComputer SimulationGene Regulatory NetworksGene NetworksBiology030304 developmental biologyRegulatory NetworksHyperparameter0303 health sciencesMultidisciplinaryModels GeneticSystems BiologyQuantitative Biology::Molecular NetworksCell CycleQRComputational BiologyBayesian networkGene Expression RegulationROC CurveMedicineData miningcomputerAlgorithms030217 neurology & neurosurgeryCombinatorial explosionBiological networkResearch ArticlePLoS ONE
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Pathway network inference from gene expression data

2014

[EN] Background: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems Biology discipline. Analysis and interpretation of gene expression data has evolved from the gene to the pathway and interaction level, i.e. from the detection of differentially expressed genes, to the establishment of gene interaction networks and the identification of enriched functional categories. Still, the understanding of biological systems requires a further level of analysis that addresses the characterization of the interaction between functional modules. Results: We presen…

ESTADISTICA E INVESTIGACION OPERATIVAGene regulatory networkGene ExpressionInferenceSister chromatidsOxidative Phosphorylation//purl.org/becyt/ford/1 [https]Structural BiologyEstadística e Investigación OperativaGene Regulatory NetworksTopology (chemistry)Alzheimers-DiseaseGeneticsDIBUJOBiological systemsApplied MathematicsSystems BiologyCell Cycle//purl.org/becyt/ford/1.2 [https]Computer Science ApplicationsMicroarray experimentsModeling and SimulationIdentification (biology)Functional assessmentDNA-replicationFunctional connectionsGlycolysisCIENCIAS NATURALES Y EXACTASPathway NetworkDNA ReplicationSaccharomyces-CervisiaeBioinformaticsS-phaseSystems biologyGenomicsComputational biologySaccharomyces cerevisiaeBiologyGene interactionAlzheimer DiseaseModelling and SimulationGenomic dataPANAPathwaysMolecular BiologyUbiquitinResearchGene Expression ProfilingR packageGluconeogenesisGene expression profilingComputingMethodologies_PATTERNRECOGNITIONPurinesCiencias de la Computación e InformaciónProteolysisGene expression dataCiencias de la Información y BioinformáticaUbiquitin conjugationPathwayBMC Systems Biology
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PED Mediates AKT-Dependent Chemoresistance in Human Breast Cancer Cells

2005

Abstract Killing of tumor cells by cytotoxic therapies, such as chemotherapy or gamma-irradiation, is predominantly mediated by the activation of apoptotic pathways. Refractoriness to anticancer therapy is often due to a failure in the apoptotic pathway. The mechanisms that control the balance between survival and cell death in cancer cells are still largely unknown. Tumor cells have been shown to evade death signals through an increase in the expression of antiapoptotic molecules or loss of proapoptotic factors. We aimed to study the involvement of PED, a molecule with a broad antiapoptotic action, in human breast cancer cell resistance to chemotherapeutic drugs–induced cell death. We show…

EXPRESSIONAdultCancer ResearchProgrammed cell deathmedicine.medical_treatmentINHIBITIONApoptosisBreast NeoplasmsProtein Serine-Threonine KinasesDNA AntisenseACTIVATIONBreast cancerTransduction GeneticCell Line TumorProto-Oncogene ProteinsComplementary DNAmedicineHumansCytotoxic T cellPROTEIN-KINASE-CProtein kinase BAgedNeoplasm StagingChemotherapybusiness.industryDEATHIntracellular Signaling Peptides and ProteinsJNK Mitogen-Activated Protein KinasesIN-VITROCHEMOTHERAPYMiddle AgedPhosphoproteinsmedicine.diseasePED/PEA-15Up-RegulationEnzyme ActivationOncologyDrug Resistance NeoplasmApoptosisCancer cellImmunologyCancer researchFemalePTEN GENEApoptosis Regulatory ProteinsbusinessProto-Oncogene Proteins c-aktCancer Research
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Reciprocal regulation of the human sterol regulatory element binding protein (SREBP)-1a promoter by Sp1 and EGR-1 transcription factors.

2007

AbstractSterol regulatory element binding protein (SREBP)-1a is a transcription factor that is highly expressed in actively growing cells, and is involved in the biosynthesis of cholesterol, fatty acids and phospholipids. We have mapped the minimal human SREBP-1a promoter region to 75bp upstream of the translation start site where we discovered a functional role for the 3 GC-boxes containing overlapping sites for the Sp1 and EGR-1 transcription factors. Intact SP1-binding sites are essential for promoter activity, whereas EGR-1 suppresses the transcription of the human SREBP-1a promoter. These results reveal a novel physiologically relevant transcriptional mechanism for the reciprocal regul…

Egr-1Chromatin ImmunoprecipitationSp1 Transcription FactorSREBP-1aResponse elementMolecular Sequence DataBiophysicsElectrophoretic Mobility Shift AssayBiologyBiochemistrySp1Cell LineUpstream activating sequenceStructural BiologyTranscription (biology)Sequence Homology Nucleic AcidGene expressionGeneticsHumansPromoter Regions GeneticMolecular BiologyTranscription factorGeneral transcription factorBase SequenceReverse Transcriptase Polymerase Chain ReactionPromoterPromoterCell BiologySterol regulatory element-binding proteinBiochemistryEarly Growth Response Transcription Factorslipids (amino acids peptides and proteins)Gene expressionSterol Regulatory Element Binding Protein 1FEBS letters
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Early asymmetric cues triggering the dorsal/ventral gene regulatory network of the sea urchin embryo

2014

Dorsal/ventral (DV) patterning of the sea urchin embryo relies on a ventrally-localized organizer expressing Nodal, a pivotal regulator of the DV gene regulatory network. However, the inceptive mechanisms imposing the symmetry-breaking are incompletely understood. In Paracentrotus lividus, the Hbox12 homeodomain-containing repressor is expressed by prospective dorsal cells, spatially facing and preceding the onset of nodal transcription. We report that Hbox12 misexpression provokes DV abnormalities, attenuating nodal and nodal-dependent transcription. Reciprocally, impairing hbox12 function disrupts DV polarity by allowing ectopic expression of nodal. Clonal loss-of-function, inflicted by b…

Embryo NonmammalianTranscription GeneticEctodermp38 Mitogen-Activated Protein Kinasessymmetry breakingdorsal ventral axis sea urchin embryo nodal homeodomain repressor p38 MAPKAnimals Genetically ModifiedCell polarityMorphogenesisGene Regulatory NetworksBiology (General)ZebrafishSea urchinsea urchin embryoGeneticsbiologyGeneral NeuroscienceQRdorsal/ventral polarityCell PolarityGene Expression Regulation DevelopmentalEmbryoGeneral MedicineCell biologymedicine.anatomical_structureGene Knockdown Techniquesembryonic structuresParacentrotusMedicineCuesResearch Articleanimal structuresQH301-705.5Nodal ProteinScienceEmbryonic DevelopmentSettore BIO/11 - Biologia Molecolarep38 MAPKModels BiologicalGeneral Biochemistry Genetics and Molecular Biologybiology.animalEctodermmedicineAnimalsBody PatterningHomeodomain ProteinsGeneral Immunology and MicrobiologyotherCell Biologybiology.organism_classificationEmbryonic stem cellhomeodomain repressorRepressor ProteinsDevelopmental Biology and Stem CellsnodalNODALDevelopmental biologyeLife
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