0000000000143284

AUTHOR

Yuri Nikolsky

showing 2 related works from this author

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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The case for strategic international alliances to harness nutritional genomics for public and personal health

2005

Nutrigenomics is the study of how constituents of the diet interact with genes, and their products, to alter phenotype and, conversely, how genes and their products metabolise these constituents into nutrients, antinutrients, and bioactive compounds. Results from molecular and genetic epidemiological studies indicate that dietary unbalance can alter gene-nutrient interactions in ways that increase the risk of developing chronic disease. The interplay of human genetic variation and environmental factors will make identifying causative genes and nutrients a formidable, but not intractable, challenge. We provide specific recommendations for how to best meet this challenge and discuss the need …

Knowledge managementNutritional genomicsBiomedical Researchgenetic association030309 nutrition & dieteticsgenotypeInternational CooperationMedicine (miscellaneous)Variation (Genetics)Human genetic variationmedical researchgene–nutrient interactionsVoeding Metabolisme en GenomicaEatingNutrigenomicsenvironmental factorgenetic variabilityGlobal healthNutritional Physiological PhenomenaHealth diaparitiesimmune function2. Zero hunger0303 health sciencesNutrition and Dieteticsstrategic international alliancesarticleGenomicsdiabetes-related traitsdietary fiberHealth equityMetabolism and Genomics3. Good healthNutrigenomicsmessenger-rnaHealthMetabolisme en Genomica/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNutrition Metabolism and Genomicshealth diaparitiesmedicine.medical_specialtyResearch programhapmap projectpopulation stratificationheredityphenotypeBiologyEnvironmentStrategic international alliancesnutritional health03 medical and health sciencesGene interactionnutrigenomicsSDG 3 - Good Health and Well-beingVoedingmedicineAnimalsHumanscomplex diseaseshuman030304 developmental biologygene identificationVLAGNutritionnonhumanbusiness.industryGenome HumanPublic healthResearchGenetic Variationpopulation geneticsGene-nutrient interactionscultural factorNutrition PhysiologyBiotechnologyDisease Models AnimalHarnessmolecular geneticsbusinessdietary intakepublic health servicecoronary-heart-diseasecarbohydrate ingestionBritish Journal of Nutrition
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