Search results for "gene regulatory network"

showing 10 items of 122 documents

Large-scale association analysis identifies new risk loci for coronary artery disease

2016

Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r 2 < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes …

AdultAsian Continental Ancestry GroupMaleCandidate geneBIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICAPopulationEuropean Continental Ancestry GroupQuantitative Trait LociCADGenome-wide association studySingle-nucleotide polymorphismCoronary Artery Disease030204 cardiovascular system & hematologyBiologyQuantitative trait locusBioinformaticsPolymorphism Single NucleotideArticleWhite Peoplecoronary artery disease risk lociCell LineCoronary artery disease03 medical and health sciences0302 clinical medicineAsian PeopleRisk FactorsmedicineHumansgeneticsGene Regulatory NetworksGenetic Predisposition to Diseasecardiovascular diseasesPolymorphismeducation030304 developmental biologyGenetic associationAgedGenetics0303 health scienceseducation.field_of_studyAdult Aged Asian Continental Ancestry Group Cell Line Coronary Artery Disease; genetics European Continental Ancestry Group; genetics Female Gene Regulatory Networks Genetic Predisposition to Disease Genome-Wide Association Study Humans Male Middle Aged Polymorphism; Single Nucleotide Quantitative Trait Loci Risk FactorsSingle NucleotideMiddle Agedmedicine.disease3. Good healthFemaleGenome-Wide Association StudyNature Genetics
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miR-155 regulative network in FLT3 mutated acute myeloid leukemia

2015

Abstract Background Acute myeloid leukemia (AML) represents a heterogeneous disorder with recurrent chromosomal alterations and molecular abnormalities. Among AML with normal karyotype (NK-AML) FLT3 activating mutation, internal tandem duplication (FLT3-ITD), is present in about 30% of patients, conferring unfavorable outcome. Our previous data demonstrated specific up-regulation of miR-155 in FLT3-ITD+ AML. miR-155 is known to be directly implicated in normal hematopoiesis and in some pathologies such as myeloid hyperplasia and acute lymphoblastic leukemia. Methods and results To investigate about the potential influence of miR-155 de-regulation in FLT3-mutated AML we generated a transcrip…

AdultMaleCancer ResearchMyeloidJUNBNetworkBiologyYoung Adultchemistry.chemical_compoundAMLhemic and lymphatic diseasesmicroRNACEBPBmedicineHumansGene silencingGene Regulatory NetworksAML; MicroRNA; NetworkAgedAged 80 and overGene Expression Regulation LeukemicGene Expression ProfilingMyeloid leukemiaMicroRNAHematologyMiddle AgedLeukemia Myeloid AcuteMicroRNAsmedicine.anatomical_structurefms-Like Tyrosine Kinase 3OncologyRUNX1chemistryMutationCancer researchFemaleMyelopoiesisK562 Cells
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New candidates for CD4 T cell pathogenicity in experimental neuroinflammation and multiple sclerosis

2015

Multiple sclerosis is a chronic autoimmune demyelinating disease of the central nervous system, which is thought to be triggered by environmental factors in genetically susceptible individuals leading to activation of autoreactive T lymphocytes. Large multi-centre genome-wide association studies have identified multiple genetic risk loci in multiple sclerosis. In this study, we investigated T cell transcriptomic changes in experimental autoimmune encephalomyelitis, an animal model for multiple sclerosis. We correlated these findings with the multiple sclerosis risk genes postulated by the most recent Immunochip analysis and found that multiple sclerosis susceptibility genes were significant…

CD4-Positive T-LymphocytesMice KnockoutEncephalomyelitis Autoimmune ExperimentalMultiple SclerosisEffectorMultiple sclerosisT cellExperimental autoimmune encephalomyelitisGenome-wide association studyMERTKBiologymedicine.diseaseMice Inbred C57BLMicemedicine.anatomical_structureImmunologymedicineDemyelinating diseaseAnimalsHumansGene Regulatory NetworksNeurology (clinical)NeuroinflammationBrain
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Cytotoxicity of 4-hydroxy-N-(naphthalen-1-yl)-2-oxo-2H-chromene-3-carboxamide in multidrug-resistant cancer cells through activation of PERK/eIF2α/AT…

2021

After decades of research, multidrug resistance (MDR) remains a huge challenge in cancer treatment. In this study, the cytotoxic of 4-hydroxy-N-(naphthalen-1-yl)-2-oxo-2H-chromene-3-carboxamide (MCC1734) has been investigated towards multidrug-resistant cancer cell lines. MCC1734 exerted cytotoxicity on cell lines expressing different mechanisms of drug resistance (P-glycoprotein, BCRP, ABCB5, EGFR, p53 knockout) to a different extent. Interestingly, sensitive CCRF-CEM cells and multidrug-resistant P-gp-overexpressing CEM/ADR5000 cells represented similar sensitivity towards MCC1734, indicating MCC1734 can bypass P-gp-mediated resistance. Microarray-based mRNA expression revealed that MCC17…

Cell SurvivalEukaryotic Initiation Factor-2Antineoplastic AgentsMitochondrionBiochemistryFlow cytometryeIF-2 KinaseCell Line TumorOxazinesmedicineHumansCytotoxic T cellGene Regulatory NetworksCytotoxicityPharmacologyMolecular Structuremedicine.diagnostic_testChemistryCell cycleActivating Transcription Factor 4Gene Expression Regulation NeoplasticXanthenesDrug Resistance NeoplasmCell cultureApoptosisCancer cellCancer researchGene DeletionBiochemical Pharmacology
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Endothelial transcriptomic changes induced by oxidized low density lipoprotein disclose an up-regulation of Jak-Stat pathway.

2015

Oxidized low density lipoproteins (oxLDLs) act as an etiological factor in the development of atherosclerosis by modifying the biological properties of endothelial cells through mechanisms of vascular inflammation. To deepen the oxLDL changes at cellular level, a transcriptomic analysis of human umbilical artery endothelial cells (HUAECs) treated with oxLDL was performed to identify the modified signaling pathways. Total RNA was isolated from HUAECs treated with oxLDL (100 μg/ml). Gene expression analysis was carried out using Affymetrix oligonucleotide microarrays. Biological pathway analysis was performed using Ingenuity Pathway Analysis software. Microarray assay demonstrated that oxLDL …

Cell signalingTime FactorsPhysiologyBlotting WesternBiologyReal-Time Polymerase Chain ReactionTransfectionGene Expression Regulation EnzymologicBiological pathwayTranscriptomeRNA interferenceGene expressionHuman Umbilical Vein Endothelial CellsHumansGene Regulatory NetworksProtein Kinase InhibitorsCells CulturedOligonucleotide Array Sequence AnalysisPharmacologyGene Expression ProfilingJAK-STAT signaling pathwaySTAT2 Transcription FactorJanus Kinase 1Janus Kinase 2Cell biologyEndothelial stem cellLipoproteins LDLSTAT1 Transcription FactorMolecular Medicinelipids (amino acids peptides and proteins)RNA InterferenceSignal transductionTranscriptomeSignal TransductionVascular pharmacology
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Topological structure analysis of chromatin interaction networks.

2019

Abstract Background Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis of Hi-C data to identify biologically significant features, many questions still remain open, in particular regarding potential biological significance of various topological features that are characteristic for chromatin interaction networks. Results It has been previously observed that promoter capture Hi-C (PCHi-C) interaction networks tend to separate easily into well-defined connected components that can be related to certain biological functionality, however, …

Chromatin interaction networksFunctionally related modulesComputer scienceCellStructure (category theory)Topologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeChromosome conformation capture03 medical and health sciences0302 clinical medicineGraph topologyStructural BiologyComponent (UML)medicineHumansGene Regulatory NetworksCell type specificityPromoter Regions GeneticMolecular Biologylcsh:QH301-705.5030304 developmental biologyConnected component0303 health sciencesApplied MathematicsResearchChromatinComputer Science ApplicationsChromatinHematopoiesisIdentification (information)medicine.anatomical_structurelcsh:Biology (General)Gene Expression RegulationTopological graph theorylcsh:R858-859.7DNA microarray030217 neurology & neurosurgeryAlgorithmsBMC bioinformatics
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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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Dynamical Models of Interrelation in a Class of Artificial Networks

2020

The system of ordinary differential equations that models a type of artificial networks is considered. The system consists of a sigmoidal function that depends on linear combinations of the arguments minus the linear part. The linear combinations of the arguments are described by the regulatory matrix W. For the three-dimensional cases, several types of matrices W are considered and the behavior of solutions of the system is analyzed. The attractive sets are constructed for most cases. The illustrative examples are provided. The list of references consists of 12 items.

Class (set theory)Matrix (mathematics)Dynamical systems theoryOrdinary differential equationAttractorGene regulatory networkApplied mathematicsSigmoid functionLinear combinationMathematics
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