2018
Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome
Sun J, Herazo-Maya J, Molyneaux PL, Maher TM, Kaminski N, Zhao H. Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome. Biometrics 2018, 75: 69-77. PMID: 30178494, DOI: 10.1111/biom.12964.Peer-Reviewed Original ResearchConceptsJoint latent class modelLongitudinal biomarkersExtensive simulation studyLatent class modelLongitudinal submodelJoint modeling methodSurvival submodelLikelihood approachSimulation studyClass modelEvent outcomesLatent classesModeling methodMembership modelRandom effectsModeling approachClassSubmodelsJoint analysisModelBootstrapUnique trajectoriesNovel biological insightsInference
2017
Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study
Herazo-Maya JD, Sun J, Molyneaux PL, Li Q, Villalba JA, Tzouvelekis A, Lynn H, Juan-Guardela BM, Risquez C, Osorio JC, Yan X, Michel G, Aurelien N, Lindell KO, Klesen MJ, Moffatt MF, Cookson WO, Zhang Y, Garcia JGN, Noth I, Prasse A, Bar-Joseph Z, Gibson KF, Zhao H, Herzog EL, Rosas IO, Maher TM, Kaminski N. Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study. The Lancet Respiratory Medicine 2017, 5: 857-868. PMID: 28942086, PMCID: PMC5677538, DOI: 10.1016/s2213-2600(17)30349-1.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesFemaleGene Expression ProfilingGenetic MarkersGenetic TestingHumansIdiopathic Pulmonary FibrosisLeukocytes, MononuclearLinear ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsRisk AssessmentRisk FactorsTime FactorsVital CapacityConceptsIdiopathic pulmonary fibrosisTransplant-free survivalRisk profilePulmonary fibrosisAntifibrotic drugsPeripheral blood mononuclear cellsCox proportional hazards modelClinical prediction toolGroup of patientsBlood mononuclear cellsHigh-risk groupProportional hazards modelPulmonary Fibrosis FoundationPittsburgh cohortUntreated patientsCohort studyClinical courseIPF diagnosisBlood InstituteProspective studyVital capacityMononuclear cellsPeripheral bloodUS National InstitutesNational HeartSelecting the most appropriate time points to profile in high-throughput studies
Kleyman M, Sefer E, Nicola T, Espinoza C, Chhabra D, Hagood JS, Kaminski N, Ambalavanan N, Bar-Joseph Z. Selecting the most appropriate time points to profile in high-throughput studies. ELife 2017, 6: e18541. PMID: 28124972, PMCID: PMC5319842, DOI: 10.7554/elife.18541.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsGene Expression ProfilingHigh-Throughput Nucleotide SequencingLungMiceTime FactorsConceptsMolecular dataMouse lung developmentHigh-throughput profilingHigh-throughput studiesDNA methylationGene expressionThroughput profilingExpression dataTime series experimentsExpression valuesLung developmentSeries experimentsBiological systemsGenesMethylationMiRNAProteinProfilingExpressionTime pointsKey design strategiesLarge setAppropriate time points
2015
Palliative Care and Location of Death in Decedents With Idiopathic Pulmonary Fibrosis
Lindell KO, Liang Z, Hoffman LA, Rosenzweig MQ, Saul MI, Pilewski JM, Gibson KF, Kaminski N. Palliative Care and Location of Death in Decedents With Idiopathic Pulmonary Fibrosis. CHEST Journal 2015, 147: 423-429. PMID: 25187973, PMCID: PMC4314817, DOI: 10.1378/chest.14-1127.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisLocation of deathPalliative care referralPalliative careCare referralPulmonary fibrosisAdequacy of endCommunity hospital wardsLung transplant recipientsTiming of referralMajority of patientsObituary listingsTransplant recipientsMedian survivalSymptom burdenSpecialty centersFirst visitHospital settingCenter visitsHospital wardsClinical practiceReferralPatientsDecedentsCare
2010
The pulmonary histopathologic manifestations of the anti-Jo-1 tRNA synthetase syndrome
Yousem SA, Gibson K, Kaminski N, Oddis CV, Ascherman DP. The pulmonary histopathologic manifestations of the anti-Jo-1 tRNA synthetase syndrome. Modern Pathology 2010, 23: 874-880. PMID: 20228783, DOI: 10.1038/modpathol.2010.65.Peer-Reviewed Original ResearchConceptsInterstitial lung diseaseDiffuse alveolar damageNonspecific interstitial pneumoniaUsual interstitial pneumoniaInterstitial pneumoniaSynthetase syndromeAlveolar damageNative lungPulmonary interstitial lung diseaseUsual interstitial pneumonia patternChronic interstitial lung diseaseTRNA synthetase autoantibodiesTRNA synthetase syndromeIdiopathic inflammatory myopathiesPercent of patientsSurgical lung biopsyInterstitial pneumonia patternChronic interstitial pneumoniaConnective tissue disordersAutoimmune groupInterstitial injuryAcute decompensationOrganizing pneumoniaInflammatory myopathiesLung biopsy
2009
FACS-Assisted Microarray Profiling Implicates Novel Genes and Pathways in Zebrafish Gastrointestinal Tract Development
Stuckenholz C, Lu L, Thakur P, Kaminski N, Bahary N. FACS-Assisted Microarray Profiling Implicates Novel Genes and Pathways in Zebrafish Gastrointestinal Tract Development. Gastroenterology 2009, 137: 1321-1332. PMID: 19563808, PMCID: PMC2785077, DOI: 10.1053/j.gastro.2009.06.050.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAnimals, Genetically ModifiedCell SeparationChromosomes, Human, Pair 8Digestive System NeoplasmsFlow CytometryGastrointestinal TractGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, NeoplasticGene Regulatory NetworksGreen Fluorescent ProteinsHumansIn Situ HybridizationLarvaMicroRNAsOligonucleotide Array Sequence AnalysisOrganogenesisReproducibility of ResultsTime FactorsZebrafishZebrafish ProteinsConceptsFluorescence-activated cell sortingNovel genesGreen fluorescent proteinGene networksPutative transcription factorTransgenic zebrafish lineZebrafish Danio rerioPhosphatidylinositol-3-kinase (PI3K) pathwayExcellent model systemDevelopmental time pointsChromosome arm 8qGastrointestinal developmentZebrafish lineHuman orthologDanio rerioTranscription factorsKinase pathwayMicroarray profilingFluorescent proteinGFP expressionGenesNovel pathwayGFP cellsCell sortingOrganogenesis
2008
Carbon Monoxide Modulates α–Smooth Muscle Actin and Small Proline Rich-1a Expression in Fibrosis
Zheng L, Zhou Z, Lin L, Alber S, Watkins S, Kaminski N, Choi AM, Morse D. Carbon Monoxide Modulates α–Smooth Muscle Actin and Small Proline Rich-1a Expression in Fibrosis. American Journal Of Respiratory Cell And Molecular Biology 2008, 41: 85-92. PMID: 19097987, PMCID: PMC2701963, DOI: 10.1165/rcmb.2007-0401oc.Peer-Reviewed Original ResearchMeSH KeywordsActinsAdministration, InhalationAnimalsBleomycinBone DevelopmentCarbon MonoxideCell DeathCell MovementCells, CulturedCornified Envelope Proline-Rich ProteinsDisease Models, AnimalDose-Response Relationship, DrugExtracellular Signal-Regulated MAP KinasesFibroblastsGene Expression ProfilingLungMaleMAP Kinase Signaling SystemMiceMice, Inbred C57BLMuscle DevelopmentOrganometallic CompoundsPulmonary FibrosisTime FactorsTransforming Growth Factor beta1UbiquitinationConceptsExtracellular signal-regulated kinase (ERK) pathwayCategories of genesSignal-regulated kinase pathwayNovel transcriptional targetMuscular system developmentGene expression profilingMurine bleomycin modelStress-inducible enzymeTranscriptional targetsAlpha-smooth muscle actin expressionExpression profilingKinase pathwayMuscle actin expressionΑ-smooth muscle actinEffects of COActin expressionGrowth factorHeme oxygenaseExpressionMuscle actinActive moleculesGenesOxygenaseProteinActinAlignment and classification of time series gene expression in clinical studies
Lin TH, Kaminski N, Bar-Joseph Z. Alignment and classification of time series gene expression in clinical studies. Bioinformatics 2008, 24: i147-i155. PMID: 18586707, PMCID: PMC2718630, DOI: 10.1093/bioinformatics/btn152.Peer-Reviewed Original ResearchMalignancy in Lung Transplantation: Biomarkers, Gender Differences, and Consideration of a Systems Biology Approach
Studer SM, Taioli E, Crespo M, Kaminski N. Malignancy in Lung Transplantation: Biomarkers, Gender Differences, and Consideration of a Systems Biology Approach. Transplantation 2008, 85: s69-s71. PMID: 18425041, DOI: 10.1097/tp.0b013e31816c2feb.Peer-Reviewed Original Research
2006
Lessons from Our Patients: Development of a Warm Autopsy Program
Lindell KO, Erlen JA, Kaminski N. Lessons from Our Patients: Development of a Warm Autopsy Program. PLOS Medicine 2006, 3: e234. PMID: 16724871, PMCID: PMC1472556, DOI: 10.1371/journal.pmed.0030234.Peer-Reviewed Original Research
2000
Global analysis of gene expression in pulmonary fibrosis reveals distinct programs regulating lung inflammation and fibrosis
Kaminski N, Allard J, Pittet J, Zuo F, Griffiths M, Morris D, Huang X, Sheppard D, Heller R. Global analysis of gene expression in pulmonary fibrosis reveals distinct programs regulating lung inflammation and fibrosis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2000, 97: 1778-1783. PMID: 10677534, PMCID: PMC26512, DOI: 10.1073/pnas.97.4.1778.Peer-Reviewed Original ResearchConceptsPulmonary fibrosisLung inflammationBleomycin administrationSusceptible miceMultiple time pointsFibrotic responseFibrosisFibrotic diseasesInflammationMore effective strategiesGene expressionTime pointsMiceBeta6 subunitMolecular mechanismsSequential inductionGene expression patternsExpression patternsNull mutationResponseEffective strategyLungExpressionBleomycinGene expression programs