0000000000415312

AUTHOR

Gökhan Ertaylan

0000-0001-5602-6435

showing 4 related works from this author

Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes

2020

In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to relevant clinical outcomes in the human in vivo system still proves challenging, relying on often putative orthologs. In recent years, multiple studies have demonstrated that the repeated dose rodent bioassay, the current gold standard in the field, lacks sufficient sensitivity and specificity in predicting toxic effects of pharmaceuticals in humans. In this study, we evaluate the potential of deep learning techniques to translate the pattern of …

0301 basic medicineGene ExpressionGene Expression Regulation/drug effectsPathology and Laboratory MedicineConvolutional neural networkTOXICITYMachine LearningVoeding Metabolisme en GenomicaTime Measurement0302 clinical medicineGene expressionMedicine and Health SciencesMeasurementClinical Trials as TopicMultidisciplinaryArtificial neural networkPharmaceuticsQRMetabolism and GenomicsTOXICOGENOMICS030220 oncology & carcinogenesisMetabolisme en GenomicaMedicineEngineering and TechnologyNutrition Metabolism and GenomicsHepatocytes/drug effectsAlgorithmsResearch ArticleComputer and Information SciencesClinical Trials as Topic/statistics & numerical dataNeural NetworksGenetic ToxicologyTOXICOLOGYSciencePredictive ToxicologyComputational biologyBiologyComputer03 medical and health sciencesDose Prediction MethodsDeep LearningVoedingArtificial IntelligenceIn vivoGeneticsLife ScienceAnimalsHumansGeneNutritionbusiness.industryDeep learningBiology and Life SciencesGold standard (test)REPRESENTATIONSRats030104 developmental biologyGene Expression RegulationHepatocytesArtificial intelligenceNeural Networks ComputerToxicogenomicsbusinessNeuroscience
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Prox1 Is Required for Oligodendrocyte Cell Identity in Adult Neural Stem Cells of the Subventricular Zone

2016

Abstract Adult neural stem cells with the ability to generate neurons and glia cells are active throughout life in both the dentate gyrus (DG) and the subventricular zone (SVZ). Differentiation of adult neural stem cells is induced by cell fate determinants like the transcription factor Prox1. Evidence has been provided for a function of Prox1 as an inducer of neuronal differentiation within the DG. We now show that within the SVZ Prox1 induces differentiation into oligodendrocytes. Moreover, we find that loss of Prox1 expression in vivo reduces cell migration into the corpus callosum, where the few Prox1 deficient SVZ-derived remaining cells fail to differentiate into oligodendrocytes. Thu…

0301 basic medicineAdult neurogenesisMice0302 clinical medicineNeural Stem CellsCell MovementLateral VentriclesPromoter Regions GeneticCells CulturedMOUSE-BRAINReceptors NotchOligodendrocytesNeurogenesisCell DifferentiationLINEAGEAnatomyOlfactory BulbNeural stem cellCell biologyNeuroepithelial cellAdult Stem CellsOligodendrogliaDIFFERENTIATIONEnhancer Elements Geneticmedicine.anatomical_structureGene Knockdown TechniquesMolecular MedicineSPINAL-CORDStem cellSUBCELLULAR-LOCALIZATIONProtein BindingAdult stem cellOLIG2NeurogenesisSubventricular zoneBiology03 medical and health sciencesNeurosphereProx1medicineAnimalsCell LineageOLFACTORY-BULBBody PatterningHomeodomain ProteinsTumor Suppressor ProteinsCell BiologyMAMMALIAN BRAINOligodendrocyte Transcription Factor 2030104 developmental biologyNeuropoiesisPROGENITOR CELLSGene Expression Regulationnervous system030217 neurology & neurosurgeryDevelopmental BiologyStem Cells
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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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Characterization of disease-specific cellular abundance profiles of chronic inflammatory skin conditions from deconvolution of biopsy samples

2019

Background Psoriasis and atopic dermatitis are two inflammatory skin diseases with a high prevalence and a significant burden on the patients. Underlying molecular mechanisms include chronic inflammation and abnormal proliferation. However, the cell types contributing to these molecular mechanisms are much less understood. Recently, deconvolution methodologies have allowed the digital quantification of cell types in bulk tissue based on mRNA expression data from biopsies. Using these methods to study the cellular composition of the skin enables the rapid enumeration of multiple cell types, providing insight into the numerical changes of cell types associated with chronic inflammatory skin c…

Keratinocytes0301 basic medicinePathologyMicroarraysBiopsyPATHOGENESISTranscriptome0302 clinical medicineDatabases GeneticLeukocytesATOPIC-DERMATITISGenetics (clinical)SkinPSORIASISmedicine.diagnostic_testintegumentary systemAtopic dermatitisDermismedicine.anatomical_structureDIFFERENTIATION030220 oncology & carcinogenesisChronic inflammatory skin diseasesResearch ArticleEXPRESSIONlcsh:Internal medicinemedicine.medical_specialtyCell typeGENESlcsh:QH426-470BiologyDENDRITIC CELLSDermatitis AtopicFlow cytometryMECHANISMS03 medical and health sciencesDermisPsoriasisBiopsyGeneticsmedicineHumanslcsh:RC31-1245SIGNATURESInflammationIDENTIFICATIONReproducibility of Resultsmedicine.diseaselcsh:Genetics030104 developmental biologyGene Expression RegulationChronic DiseaseSkin biopsyGene expressionEpidermis
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