2015
Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes
Kim S, Herazo-Maya JD, Kang DD, Juan-Guardela BM, Tedrow J, Martinez FJ, Sciurba FC, Tseng GC, Kaminski N. Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes. BMC Genomics 2015, 16: 924. PMID: 26560100, PMCID: PMC4642618, DOI: 10.1186/s12864-015-2170-4.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsCluster AnalysisComputational BiologyComputer SimulationDatasets as TopicDiscriminant AnalysisGenomicsHumansLung DiseasesMolecular Sequence AnnotationPhenotypeWorkflow
2013
Expression of Regulatory Platelet MicroRNAs in Patients with Sickle Cell Disease
Jain S, Kapetanaki MG, Raghavachari N, Woodhouse K, Yu G, Barge S, Coronnello C, Benos PV, Kato GJ, Kaminski N, Gladwin MT. Expression of Regulatory Platelet MicroRNAs in Patients with Sickle Cell Disease. PLOS ONE 2013, 8: e60932. PMID: 23593351, PMCID: PMC3625199, DOI: 10.1371/journal.pone.0060932.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnemia, Sickle CellBlood PlateletsCell LineChromosomes, Human, Pair 14Computational BiologyDown-RegulationFemaleGene Expression ProfilingGene Expression RegulationGenomic ImprintingHumansHydroxyureaMaleMegakaryocytesMicroRNAsMiddle AgedMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisReproducibility of ResultsTricuspid Valve InsufficiencyUp-RegulationYoung AdultConceptsMiRNA expression profilesExpression profilesMRNA targetsSignificant transcriptional repressionPlatelet miRNAsPost-transcriptional regulationMiRNA target sequencesComputational prediction analysisAltered miRNA expression profilesMRNA expression profilesExpression of miRNAsAgilent miRNA microarrayTranscriptional repressionPlatelet transcriptomeBiological pathwaysDownregulated miRNAsMiRNAsPlatelet transcriptsMiRNA microarrayPlatelet microRNAsTarget sequenceMiR-376aMiR-376QRT-PCRMiR-154