Search results for "gene-expression"

showing 10 items of 48 documents

Inhibition of colon cancer growth by docosahexaenoic acid involves autocrine production of TNFα

2016

IF 7.932; International audience; The omega-3 polyunsaturated fatty acid docosahexaenoic acid (DHA) has anti-inflammatory and anti-cancer properties. Among pro-inflammatory mediators, tumor necrosis factor a (TNF alpha) plays a paradoxical role in cancer biology with induction of cancer cell death or survival depending on the cellular context. The objective of the study was to evaluate the role of TNFa in DHA-mediated tumor growth inhibition and colon cancer cell death. The treatment of human colorectal cancer cells, HCT-116 and HCT-8 cells, with DHA triggered apoptosis in autocrine TNF alpha-dependent manner. We demonstrated that DHA-induced increased content of TNF alpha mRNA occurred thr…

0301 basic medicineCancer ResearchTumoricidal ActionApoptosis[ SDV.CAN ] Life Sciences [q-bio]/CancerMice[ SDV.GEN.GH ] Life Sciences [q-bio]/Genetics/Human geneticsForkhead Box Protein O3Cell cycle3. Good healthCell biologyGene Expression Regulation NeoplasticAutocrine CommunicationColonic NeoplasmsTumor-Necrosis-FactorTumor necrosis factor alphaProgrammed cell deathDocosahexaenoic AcidsHuman Colorectal-CancerGene-Expression[SDV.CAN]Life Sciences [q-bio]/Cancer[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiology03 medical and health sciencesGrowth factor receptorLipid-MetabolismGeneticsmedicineAnimalsHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyCell-DeathPolyunsaturated Fatty-AcidsAutocrine signallingMolecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyActivated Protein-KinaseTumor Necrosis Factor-alpha[ SDV.BC ] Life Sciences [q-bio]/Cellular BiologyInduced ApoptosisCancerHCT116 Cellsmedicine.diseaseXenograft Model Antitumor AssaysMicroRNAs030104 developmental biology[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsApoptosisCancer cellCancer researchPrevents Breast-Cancer
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EFMviz

2020

Elementary Flux Modes (EFMs) are a tool for constraint-based modeling and metabolic network analysis. However, systematic and automated visualization of EFMs, capable of integrating various data types is still a challenge. In this study, we developed an extension for the widely adopted COBRA Toolbox, EFMviz, for analysis and graphical visualization of EFMs as networks of reactions, metabolites and genes. The analysis workflow offers a platform for EFM visualization to improve EFM interpretability by connecting COBRA toolbox with the network analysis and visualization software Cytoscape. The biological applicability of EFMviz is demonstrated in two use cases on medium (Escherichia coli, iAF1…

0301 basic medicineComputer scienceEndocrinology Diabetes and Metabolismgenome-scale metabolic modelslcsh:QR1-502computer.software_genreBiochemistryData typelcsh:MicrobiologySBML03 medical and health sciences0302 clinical medicineData visualizationGraph drawingProtocolACETATEdata visualizationCELLSBMLCYTOSCAPEMolecular BiologyGENE-EXPRESSIONSoftware visualizationbusiness.industryPATHWAY ANALYSISnetwork visualizationelementary flux modesToolboxVisualization030104 developmental biologyWorkflowDEFINITIONESCHERICHIA-COLIGROWTHData miningbusinesscomputerSET030217 neurology & neurosurgeryMetabolites
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Spontaneous brain processing of the mammary pheromone in rabbit neonates prior to milk intake.

2016

International audience; Chemical signals play a critical role in interindividual communication, including mother-young relationships. Detecting odor cues released by the mammary area is vital to the newborn's survival. European rabbit females secret a mammary pheromone (MP) in their milk, which releases sucking related orocephalic movements in newborns. Pups spontaneously display these typical movements at birth, independently of any perinatal learning. Our previous Fos mapping study (Charra et al., 2012) performed in 4-day-old rabbits showed that the MP activated a network of brain regions involved in osmoregulation, odor processing and arousal in comparison with a control odor. However, a…

0301 basic medicineLateral hypothalamuspupMammary pheromoneLateral hypothalamusc-FosPheromonesBehavioral Neurosciencepiriform cortexEating0302 clinical medicinePiriform cortexPosterior piriform cortexhypothalamusNeuronsnewborn rabbitbiologyBrainOlfactory PathwaysMilkHypothalamuscircadian-rhythmsRabbitsPsychologyc-fosmedicine.medical_specialtyodor03 medical and health sciencesInternal medicinemedicine[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyAnimalsLearning[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyMedian preoptic nucleusOrexinsgene-expressionmedian preoptic nucleusOlfactory bulbOrexin030104 developmental biologyEndocrinologyOdorAnimals Newbornolfactory-bulbOdorantsbiology.proteinOrexin030217 neurology & neurosurgeryBehavioural brain research
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Modulation of brain PUFA content in different experimental models of mice.

2016

International audience; The relative amounts of arachidonic acid (AA) and docosahexaenoic acid (DHA) govern the different functions of the brain. Their brain levels depend on structures considered, on fatty acid dietary supply and the age of animals. To have a better overview of the different models available in the literature we here compared the brain fatty acid composition in various mice models (C57BL/6J, CD1, Fat-1, SAMP8 mice) fed with different n-3 PUFA diets (deficient, balanced, enriched) in adults and aged animals. Our results demonstrated that brain AA and DHA content is 1) structure-dependent; 2) strain-specific; 3) differently affected by dietary approaches when compared to gen…

0301 basic medicineMaleAgingClinical Biochemistryfat-1 miceHippocampuschemistry.chemical_compoundMice0302 clinical medicineCerebellumDocosahexaenoic acid (DHA)fatty-acid-compositionFood science2. Zero hungerchemistry.chemical_classificationCerebral CortexArachidonic Acidanxiety-like behaviordocosahexaenoic acidaccelerated mouse samBiochemistryDocosahexaenoic acidArachidonic acid (AA)Arachidonic acidFemaleFatty acid compositionSAMP8 miceBrain regionsPolyunsaturated fatty acidN-3 PUFAdiet-induced obesityDocosahexaenoic AcidsHypothalamusPrefrontal CortexBiology03 medical and health sciencesrat-brainDietary Fats UnsaturatedGenetic modelAnimals[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyN 3 pufaBrain Chemistryage-related-changesFatty acidCell BiologyModels Theoreticalgene-expressiondepressive-like behaviorMice Inbred C57BL030104 developmental biologychemistry030217 neurology & neurosurgeryBrain StemProstaglandins, leukotrienes, and essential fatty acids
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Approaching Sex Differences in Cardiovascular Non-Coding RNA Research

2020

International audience; Cardiovascular disease (CVD) is the biggest cause of sickness and mortality worldwide in both males and females. Clinical statistics demonstrate clear sex differences in risk, prevalence, mortality rates, and response to treatment for different entities of CVD. The reason for this remains poorly understood. Non-coding RNAs (ncRNAs) are emerging as key mediators and biomarkers of CVD. Similarly, current knowledge on differential regulation, expression, and pathology-associated function of ncRNAs between sexes is minimal. Here, we provide a state-of-the-art overview of what is known on sex differences in ncRNA research in CVD as well as discussing the contributing biol…

0301 basic medicineNcRNAER-BETARNA Untranslatedexperimental modelsreceptorsReviewDisease030204 cardiovascular system & hematologyBioinformaticsCardiovascular Systemlcsh:Chemistry0302 clinical medicineSex hormone-binding globulinlncRNAestrogenMedicinePROMOTER METHYLATIONlcsh:QH301-705.5DNA METHYLATIONSpectroscopyGENE-EXPRESSIONSex CharacteristicsbiologyMortality rateGeneral MedicineMOUSE MODELNon-coding RNA[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system3. Good healthComputer Science ApplicationsHEART-FAILUREESTROGEN-RECEPTOR-ALPHAandrogenvascular cells.vascular cellsCatalysisMICRORNA THERAPEUTICSInorganic Chemistry03 medical and health sciences[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemmicroRNAAnimalsHumansEpigeneticsPhysical and Theoretical ChemistryX-INACTIVATIONMolecular BiologySocioeconomic statusmiRNAbusiness.industryOrganic ChemistryPOSTMENOPAUSAL HORMONE-THERAPYcardiovascular diseasesSexual dimorphism030104 developmental biologylcsh:Biology (General)lcsh:QD1-999biology.proteinbusinessBiomarkersInternational journal of molecular sciences
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Oxidative stress in the oral cavity is driven by individualspecific bacterial communities

2018

The term “bacterial dysbiosis” is being used quite extensively in metagenomic studies, however, the identification of harmful bacteria often fails due to large overlap between the bacterial species found in healthy volunteers and patients. We hypothesized that the pathogenic oral bacteria are individual-specific and they correlate with oxidative stress markers in saliva which reflect the inflammatory processes in the oral cavity. Temporally direct and lagged correlations between the markers and bacterial taxa were computed individually for 26 volunteers who provided saliva samples during one month (21.2 ± 2.7 samples/volunteer, 551 samples in total). The volunteers’ microbiomes differed sig…

0301 basic medicineSalivaACID REACTING SUBSTANCES030106 microbiologyPhysiologyDiseasemedicine.disease_causeApplied Microbiology and BiotechnologyMicrobiologylcsh:Microbial ecologyArticle03 medical and health sciencesmedicineMicrobiomeGENE-EXPRESSIONTOTAL ANTIOXIDANT CAPACITYScience & TechnologyDENTAL-CARIESPLASMASTABILITYbiologybiology.organism_classificationmedicine.diseaseSALIVARY MARKERSSTREPTOCOCCUS-MUTANSStreptococcus mutansMICROBIOME030104 developmental biologyBiotechnology & Applied MicrobiologyMetagenomicslcsh:QR100-130Life Sciences & BiomedicineDysbiosisRESISTANCEBacteriaOxidative stressBiotechnology
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The Antisense RNA Approach: a New Application for In Vivo Investigation of the Stress Response of Oenococcus oeni, a Wine-Associated Lactic Acid Bact…

2015

ABSTRACT Oenococcus oeni is a wine-associated lactic acid bacterium mostly responsible for malolactic fermentation in wine. In wine, O. oeni grows in an environment hostile to bacterial growth (low pH, low temperature, and ethanol) that induces stress response mechanisms. To survive, O. oeni is known to set up transitional stress response mechanisms through the synthesis of heat stress proteins (HSPs) encoded by the hsp genes, notably a unique small HSP named Lo18. Despite the availability of the genome sequence, characterization of O. oeni genes is limited, and little is known about the in vivo role of Lo18. Due to the lack of genetic tools for O. oeni , an efficient expression vector in O…

0301 basic medicine[SDV.BIO]Life Sciences [q-bio]/Biotechnology[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition030106 microbiologyLactobacillus-plantarumWineEscherichia-coliApplied Microbiology and Biotechnologymolecular characterization03 medical and health sciencesGrowth-phaseBacterial ProteinsMembrane stabilizationHeat shock protein[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Antisense TechnologyGene expression[SDV.IDA]Life Sciences [q-bio]/Food engineeringMalolactic fermentationEnvironmental MicrobiologyRNA AntisenseGene-expressionLactic AcidHeat-Shock ProteinsOenococcusOenococcus oeniLeuconostoc-oenosEcologybiologyEthanolLactococcus lactisMalolactic fermentation[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyGene Expression Regulation Bacterialbiology.organism_classification[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyAntisense RNABiochemistryLactococcus-lactisHeat-shock-proteinFermentationOenococcusFood ScienceBiotechnology
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Assessing the Contribution of Relative Macrophage Frequencies to Subcutaneous Adipose Tissue

2021

Background: Macrophages play an important role in regulating adipose tissue function, while their frequencies in adipose tissue vary between individuals. Adipose tissue infiltration by high frequencies of macrophages has been linked to changes in adipokine levels and low-grade inflammation, frequently associated with the progression of obesity. The objective of this project was to assess the contribution of relative macrophage frequencies to the overall subcutaneous adipose tissue gene expression using publicly available datasets.Methods: Seven publicly available microarray gene expression datasets from human subcutaneous adipose tissue biopsies (n = 519) were used together with TissueDecod…

0301 basic medicinemedicine.medical_specialtyDOWN-REGULATIONsubcutaneous adipose tissueEndocrinology Diabetes and MetabolismAdipose tissueAdipokine030209 endocrinology & metabolismInflammationBiologycell-type composition03 medical and health scienceschemistry.chemical_compound0302 clinical medicineDownregulation and upregulationINFLAMMATIONInternal medicineGene expressionlipid metabolismmedicinelow-grade inflammationpublicly available dataMacrophagecomputational deconvolutionTX341-641OXIDATIVE STRESSPHOSPHORYLATIONFatty acid synthesisGENE-EXPRESSIONNutritionOriginal ResearchINSULIN-RESISTANCENutrition and DieteticsNutrition. Foods and food supplyWOMENLipid metabolismmacrophages030104 developmental biologyEndocrinologychemistryOBESITYmedicine.symptomSTEM-CELLSFood ScienceACID-METABOLISMFrontiers in Nutrition
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Insulin Dissociates the Effects of Liver X Receptor on Lipogenesis, Endoplasmic Reticulum Stress, and Inflammation

2016

IF 4.258; International audience; Diabetes is characterized by increased lipogenesis as well as increased endoplasmic reticulum (ER) stress and inflammation. The nuclear hormone receptor liver X receptor (LXR) is induced by insulin and is a key regulator of lipid metabolism. It promotes lipogenesis and cholesterol efflux, but suppresses endoplasmic reticulum stress and inflammation. The goal of these studies was to dissect the effects of insulin on LXR action. We used antisense oligonucleotides to knock down Lxr alpha in mice with hepatocytespecific deletion of the insulin receptor and their controls. We found, surprisingly, that knock-out of the insulin receptor and knockdown of Lxr alpha …

0301 basic medicinemedicine.medical_treatmentLipid-metabolismResistanceBiochemistryHepatitisMESH: HepatitisMESH: Endoplasmic Reticulum Stresspolycyclic compoundsInsulinGene-expressionPhospholipidsLiver X ReceptorsMice KnockoutbiologyMESH : Gene Expression RegulationFatty-acid synthesisfood and beveragesEndoplasmic Reticulum StressOrphan Nuclear ReceptorsCultured-cellsLipidsMESH: Gene Expression RegulationMESH : Endoplasmic Reticulum StressMessenger-rnaLiverMESH: Orphan Nuclear ReceptorsGene Knockdown TechniquesLipogenesisFemalelipids (amino acids peptides and proteins)Signal Transductionliver X receptormedicine.medical_specialtyLxr-alphaMice Transgenicdigestive systemPhospholipid transfer proteinGene Expression Regulation Enzymologic03 medical and health sciencesInsulin resistanceMESH : HepatitisLysophosphatidylcholine acyltransferaseInternal medicinemedicineAnimals[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyLiver X receptorMolecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyCrosses GeneticLipogenesisEndoplasmic reticulumInsulinElement-binding protein-1cMESH : LiverCell Biologymedicine.diseaseMESH : Orphan Nuclear ReceptorsReceptor InsulinMice Inbred C57BLInsulin receptor030104 developmental biologyEndocrinologyDiabetes Mellitus Type 2Gene Expression RegulationNuclear receptorbiology.proteinUnfolded protein responseInsulin ResistanceMESH: Liver
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Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

2015

Background Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond the limitations of microarrays, we sought to systematically evaluate the performance of RNA-seq-based and microarray-based classifiers in this MAQC-III/SEQC study for clinical endpoint prediction using neuroblastoma as a model. Results We generate gene expression profiles from 498 primary neuroblastomas using both RNA-seq and 44 k microarrays. Characterization of the neuroblastoma transcriptome by RNA-seq reveals that more than 48,000 genes and 200,000 transcripts are being …

AdultMaleMicroarrayAdolescentEndpoint DeterminationNEUROBLASTOMA PATIENTSgenetic processesRNA-SeqBiologyBioinformaticsRISK STRATIFICATIONTranscriptomeNeuroblastomaYoung AdultREPRODUCIBILITYClinical endpointTumor Cells CulturedBREAST-CANCERHumansnatural sciencesTRANSCRIPTOMEChildGENE-EXPRESSIONOligonucleotide Array Sequence AnalysisSettore BIO/11 - BIOLOGIA MOLECOLAREEXPRESSION-BASED CLASSIFICATIONModels GeneticSequence Analysis RNAGene Expression ProfilingResearchSIGNATUREInfant NewbornBiology and Life SciencesInfantHuman genetics3. Good healthPROSTATE-CANCERGene expression profilingDIFFERENTIATIONChild PreschoolEndpoint DeterminationFemaleDNA microarray
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