Search results for "Gene Regulatory Networks"

showing 10 items of 102 documents

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation

2012

Gene expression profiles can be used to infer previously unknown transcriptional regulatory interaction among thousands of genes, via systems biology 'reverse engineering' approaches. We 'reverse engineered' an embryonic stem (ES)-specific transcriptional network from 171 gene expression profiles, measured in ES cells, to identify master regulators of gene expression ('hubs'). We discovered that E130012A19Rik (E13), highly expressed in mouse ES cells as compared with differentiated cells, was a central 'hub' of the network. We demonstrated that E13 is a protein-coding gene implicated in regulating the commitment towards the different neuronal subtypes and glia cells. The overexpression and …

Chromosomal Proteins Non-HistoneCellular differentiationNeurogenesisNerve Tissue ProteinsBiologyCell LineMiceGene expressionProtein Interaction MappingGeneticsTranscriptional regulationmedicineAnimalsGene Regulatory NetworksTransgenesEmbryonic Stem CellsGene Expression ProfilingSystems BiologyNeurogenesisBrainComputational BiologyEmbryonic stem cellCell biologyGene expression profilingmedicine.anatomical_structurenervous systemNeuron differentiationNeurogliaTranscriptome
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Maternal Oct-4 is a potential key regulator of the developmental competence of mouse oocytes

2008

Abstract Background The maternal contribution of transcripts and proteins supplied to the zygote is crucial for the progression from a gametic to an embryonic control of preimplantation development. Here we compared the transcriptional profiles of two types of mouse MII oocytes, one which is developmentally competent (MIISN oocyte), the other that ceases development at the 2-cell stage (MIINSN oocyte), with the aim of identifying genes and gene expression networks whose misregulated expression would contribute to a reduced developmental competence. Results We report that: 1) the transcription factor Oct-4 is absent in MIINSN oocytes, accounting for 2) the down-regulation of Stella, a matern…

Chromosomal Proteins Non-HistoneCleavage Stage OvumRegulatorEmbryonic DevelopmentBiologyOct-4MicemedicineAnimalsCluster AnalysisGene Regulatory Networkslcsh:QH301-705.5MetaphaseOligonucleotide Array Sequence AnalysisRegulation of gene expressionGeneticsZygoteGene Expression ProfilingGene Expression Regulation DevelopmentalOocyteEmbryonic stem cellCell biologyGene expression profilingMice Inbred C57BLRepressor ProteinsRNA Messenger Storedmedicine.anatomical_structurelcsh:Biology (General)OocytesFemaleDevelopmental biologyOctamer Transcription Factor-3Developmental BiologyResearch ArticleBMC Developmental Biology
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Gene regulatory networks elucidating Huanglongbing disease mechanisms

2013

Next-generation sequencing was exploited to gain deeper insight into the response to infection by Candidatus liberibacter asiaticus (CaLas), especially the immune disregulation and metabolic dysfunction caused by source-sink disruption. Previous fruit transcriptome data were compared with additional RNA-Seq data in three tissues: immature fruit, and young and mature leaves. Four categories of orchard trees were studied: symptomatic, asymptomatic, apparently healthy, and healthy. Principal component analysis found distinct expression patterns between immature and mature fruits and leaf samples for all four categories of trees. A predicted protein - protein interaction network identified HLB-…

CitrusGeneral Science & TechnologyGene regulatory networklcsh:MedicineBiologyCarbohydrate metabolismPolymerase Chain ReactionTranscriptomeImmune systemDownregulation and upregulationGene expressionNoneGenetics2.1 Biological and endogenous factorsGene Regulatory NetworksAetiologylcsh:ScienceGeneNutritionPlant DiseasesGeneticsMultidisciplinarylcsh:Rfood and beveragesInvertaselcsh:QTranscriptomeResearch Article
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Assessing the impact of copy number variants on miRNA genes in autism by Monte Carlo simulation.

2014

Autism Spectrum Disorders (ASDs) are childhood neurodevelopmental disorders with complex genetic origins. Previous studies have investigated the role of de novo Copy Number Variants (CNVs) and microRNAs as important but distinct etiological factors in ASD. We developed a novel computational procedure to assess the potential pathogenic role of microRNA genes overlapping de novo CNVs in ASD patients. Here we show that for chromosomes # 1, 2 and 22 the actual number of miRNA loci affected by de novo CNVs in patients was found significantly higher than that estimated by Monte Carlo simulation of random CNV events. Out of 24 miRNA genes over-represented in CNVs from these three chromosomes only …

Clinical PathologyDNA Copy Number Variationsendocrine system diseasesChromosomes Human Pair 22ScienceGene regulatory networkGenomicsDevelopmental and Pediatric NeurologyBiologyPathology and Laboratory MedicinePediatricsGenomeMolecular GeneticsmiRNA Genes Monte Carlo Simulation AutismDiagnostic Medicinemental disordersGeneticsMedicine and Health SciencesmedicineHumansComputer SimulationGene Regulatory NetworksCopy-number variationAutistic DisorderGeneGeneticsMultidisciplinaryGenome HumanQRBiology and Life SciencesComputational BiologyGenomicsGenome Analysismedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)MicroRNAsNeurologyChromosomes Human Pair 1Genetic LociAutism spectrum disorderChromosomes Human Pair 2AutismMedicineStructural GenomicsHuman genomeMonte Carlo MethodResearch ArticlePLoS ONE
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Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome…

2014

Background The scale and complexity of genomic data lend themselves to analysis using sophisticated mathematical techniques to yield information that can generate new hypotheses and so guide further experimental investigations. An ensemble clustering method has the ability to perform consensus clustering over the same set of genes from different microarray datasets by combining results from different clustering methods into a single consensus result. Results In this paper we have performed comprehensive analysis of forty yeast microarray datasets. One recently described Bi-CoPaM method can analyse expressions of the same set of genes from various microarray datasets while using different cl…

Co-regulation(Binarisation of consensus partition matrices) Bi-CoPaMGene Expression ProfilingStress responseGenes FungalCo-expressionGenome-wide analysisGene Expression Regulation FungalRibosome biogenesisSaccharomycetalesCluster AnalysisGene Regulatory NetworksBudding yeastRibosomesOligonucleotide Array Sequence AnalysisResearch ArticleBMC bioinformatics
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Dynamic architecture and regulatory implications of the miRNA network underlying the response to stress in melon

2019

miRNAs are small RNAs that regulate mRNAs at both transcriptional and posttranscriptional level. In plants, miRNAs are involved in the regulation of different processes including development and stress-response. Elucidating how stress-responsive miRNAs are regulated is key to understand the global response to stress but also to develop efficient biotechnological tools that could help to cope with stress. Here, we describe a computational approach based on sRNA sequencing, transcript quantification and degradome data to analyse the accumulation, function and structural organization of melon miRNAs reactivated under seven biotic and abiotic stress conditions at two and four days post-treatmen…

Crops AgriculturalMelonTranscript quantificationPeriod (gene)Computational biologyBiologyRegulation of the stress response in crops03 medical and health sciences0302 clinical medicineGene Expression Regulation PlantStress PhysiologicalStress (linguistics)microRNAGene Regulatory NetworksGene SilencingMolecular Biology030304 developmental biology0303 health sciencesStructural organizationAbiotic stressCell BiologyMicroRNAsCucurbitaceaeRNA silencingPhenotypemiRNA networks030220 oncology & carcinogenesissRNAs analisysRNA InterferenceRNA silencingFunction (biology)Research PaperRNA Biology
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A Xenogeneic-Free Protocol for Isolation and Expansion of Human Adipose Stem Cells for Clinical Uses

2013

Human adipose stem cells (hASCs) play a crucial role in the fields of regenerative medicine and tissue engineering for different reasons: the abundance of adipose tissue, their easy harvesting, the ability to multipotent differentiation and the fact that they do not trigger allogeneic blood response or secrete cytokines that act as immunosuppressants. The vast majority of protocols use animal origin reagents, with the underlying risk of transmitting infections by non-human pathogens. We have designed a protocol to isolate and maintain the properties of hASCs avoiding xenogeneic reagents. These changes not only preserve hASCs morphology, but also increase cell proliferation and maintain thei…

Cèl·lules mare neuralsCellular differentiationCell- and Tissue-Based TherapyAdipose tissueCell SeparationStem cell markerRegenerative MedicineRegenerative medicine0302 clinical medicineTissue engineeringMolecular Cell BiologyAdipocytesNeurociènciesGene Regulatory Networks0303 health sciencesMultidisciplinaryStem CellsQRGene Expression Regulation DevelopmentalCell Differentiation3. Good healthCell biologyAdult Stem Cells317 Pharmacy030220 oncology & carcinogenesisMedicineStem cellCellular TypesMetabolic Networks and PathwaysResearch ArticleBiotechnologyAdultAdolescentClinical Research DesignScienceCell PotencyPrimary Cell CultureBiologyCell Growth03 medical and health sciencesYoung AdultAnimalsHumansBiology030304 developmental biologyCell ProliferationTissue EngineeringGene Expression ProfilingMesenchymal stem cellCell cultureImmunologyBiomarkersDevelopmental BiologyPLoS ONE
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The relationship between health-related quality of life and melancholic depressive symptoms is modified by brain insulin receptor gene network

2021

AbstractTo investigate whether expression-based polygenic risk scores for the insulin receptor gene network (ePRS-IRs) modifiy the association between type of depressive symptoms and health-related quality of life (HRQoL). This cross-sectional study includes 1558 individuals from the Helsinki Birth Cohort Study. Between 2001 and 2004, the Short Form-36 questionnaire was employed to assess mental and physical components of HRQoL and Beck Depression Inventory (BDI) to assess depressive symptoms. Depressive symptoms were categorized into minimal (BDI < 10), non-melancholic and melancholic types of depression. The ePRS-IRs were calculated for the hippocampal (hePRS-IR) and the mesocorticolim…

DISORDERMaleglukoosiaineenvaihduntaelämänlaatuBody Mass Index0302 clinical medicineQuality of lifeSurveys and QuestionnairesMedicineGene Regulatory NetworksDepression (differential diagnoses)METABOLIC SYNDROME2. Zero hunger0303 health sciencesMultidisciplinarydiabetesDepressionQDiabetesRBrainASSOCIATIONriskitekijätMiddle AgedhumanitiesPREVALENCEINVENTORY-IIMedicineFemalegeneettiset tekijätmasennusQuality of lifeRiskmedicine.medical_specialtySciencePopulation stratificationRisk AssessmentArticle03 medical and health sciencesAntigens CDInternal medicineSadnessHumansGenetic Predisposition to DiseaseMETAANALYSISDepressive symptoms030304 developmental biologyAgedHealth related quality of lifePsychiatric Status Rating ScalesDepressive Disorderbusiness.industryterveydentilaInsulin Receptor GeneBeck Depression InventoryReceptor InsulinPSYCHOMETRIC PROPERTIESCross-Sectional StudiesGene Expression Regulation3121 General medicine internal medicine and other clinical medicinebusinessBody mass indexRESISTANCE030217 neurology & neurosurgery
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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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