2015
Alternative Polyadenylation Allows Differential Negative Feedback of Human miRNA miR-579 on Its Host Gene ZFR
Hinske L, Galante P, Limbeck E, Möhnle P, Parmigiani R, Ohno-Machado L, Camargo A, Kreth S. Alternative Polyadenylation Allows Differential Negative Feedback of Human miRNA miR-579 on Its Host Gene ZFR. PLOS ONE 2015, 10: e0121507. PMID: 25799583, PMCID: PMC4370670, DOI: 10.1371/journal.pone.0121507.Peer-Reviewed Original ResearchConceptsHost genesAlternative polyadenylationIntronic miRNAsMiR-579Protein-coding host genesPotential miRNA binding sitesHost gene expressionMiRNA binding sitesIntronic miRNAMiRNA genesNegative feedback loopRNA-seqPolyadenylation signalPolyadenylation sitesBioinformatics analysisCell line modelsGene expressionSilico analysisDifferential targetingPolyadenylationGenesMiRNAsZFRBinding sitesNegative feedback
2013
Differential Expression of miR-145 in Children with Kawasaki Disease
Shimizu C, Kim J, Stepanowsky P, Trinh C, Lau H, Akers J, Chen C, Kanegaye J, Tremoulet A, Ohno-Machado L, Burns J. Differential Expression of miR-145 in Children with Kawasaki Disease. PLOS ONE 2013, 8: e58159. PMID: 23483985, PMCID: PMC3590129, DOI: 10.1371/journal.pone.0058159.Peer-Reviewed Original ResearchMeSH KeywordsArteriesBase SequenceChildChild, PreschoolCluster AnalysisGene Expression RegulationHumansInfantMicroRNAsModels, BiologicalMolecular Sequence DataMucocutaneous Lymph Node SyndromeReal-Time Polymerase Chain ReactionSequence AlignmentSequence Analysis, DNASignal TransductionTransforming Growth Factor betaConceptsTGF-β pathwayGene expressionMiR-145Small non-coding RNAsKawasaki disease pathogenesisExtracellular vesiclesSmall RNA speciesPost-transcriptional levelDiscovery of microRNAsKawasaki diseaseNon-coding RNAsExpression of genesDisease pathogenesisSmall extracellular vesiclesSmall RNAsRNA speciesTarget genesTop pathwaysVascular smooth muscle cellsPathway analysisDifferentiation of neutrophilsDifferential expressionMicroRNAsArterial wallGeneration of myofibroblasts
2008
Peripheral arterial occlusive disease: Global gene expression analyses suggest a major role for immune and inflammatory responses
Fu S, Zhao H, Shi J, Abzhanov A, Crawford K, Ohno-Machado L, Zhou J, Du Y, Kuo W, Zhang J, Jiang M, Jin J. Peripheral arterial occlusive disease: Global gene expression analyses suggest a major role for immune and inflammatory responses. BMC Genomics 2008, 9: 369. PMID: 18673543, PMCID: PMC2529314, DOI: 10.1186/1471-2164-9-369.Peer-Reviewed Original ResearchMeSH KeywordsAdultAtherosclerosisFemoral ArteryGene Expression ProfilingGene Expression RegulationGenes, MHC Class IIHumansInflammationMaleMiddle AgedOligonucleotide Array Sequence AnalysisPeripheral Vascular DiseasesReverse Transcriptase Polymerase Chain ReactionTranscription, GeneticUp-RegulationVasculitisConceptsAdvanced lesionsInflammatory responseDisease progressionArterial diseaseGene OntologyIntermediate lesionsInflammatory genesGenome-wide gene expression profilingReal-time RT-PCR validationGlobal gene expression analysisToll-like receptor signalingBackgroundPeripheral arterial diseaseFemoral artery samplesSignificant cardiovascular morbidityNatural killer cellsFalse discovery rateNormal femoral arteryRT-PCR validationGene expression analysisGene expression profilingAffymetrix microarray platformCardiovascular morbidityKiller cellsFemoral arteryKyoto Encyclopedia
2004
A primer on gene expression and microarrays for machine learning researchers
Kuo W, Kim E, Trimarchi J, Jenssen T, Vinterbo S, Ohno-Machado L. A primer on gene expression and microarrays for machine learning researchers. Journal Of Biomedical Informatics 2004, 37: 293-303. PMID: 15465482, DOI: 10.1016/j.jbi.2004.07.002.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNew algorithmSupervised learning modelUCI machineLearning modelMicroarray data analysisAlgorithmic developmentsTypes of dataMachineData setsMain challengesGene expression dataMain motivationAlgorithmData analysisBiomedical experimentsLarge numberExpression dataMicroarray dataResearchersRepositoryWebMicroarray experimentsNew waveDataSetGenomic Analysis of Mouse Retinal Development
Blackshaw S, Harpavat S, Trimarchi J, Cai L, Huang H, Kuo W, Weber G, Lee K, Fraioli R, Cho S, Yung R, Asch E, Ohno-Machado L, Wong W, Cepko C. Genomic Analysis of Mouse Retinal Development. PLOS Biology 2004, 2: e247. PMID: 15226823, PMCID: PMC439783, DOI: 10.1371/journal.pbio.0020247.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBromodeoxyuridineCell LineageChromosome MappingCluster AnalysisComputational BiologyDatabases, GeneticExpressed Sequence TagsGene Expression RegulationGene Expression Regulation, DevelopmentalGene LibraryGenomeIn Situ HybridizationInterneuronsMiceMitosisMolecular Sequence DataNeurogliaOpen Reading FramesRetinaRNA, MessengerStem CellsTime FactorsConceptsMitotic progenitor cellsRetinal cell typesGene expressionCell typesExpression patternsRetinal developmentDevelopmental gene expression patternsGene expression patternsMajor retinal cell typesOpen reading frameProgenitor cellsMüller gliaPhotoreceptor-enriched genesGene expression profilesMouse retinal developmentMajor cell typesRetinal disease genesGenomic analysisMultiple retinal cell typesChromosomal intervalMolecular atlasMultiple transcriptsReading frameTaxonomic classificationDisease genes