2023
Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
Pavel A, Garrison C, Luo L, Liu G, Taub D, Xiao J, Juan-Guardela B, Tedrow J, Alekseyev Y, Yang I, Geraci M, Sciurba F, Schwartz D, Kaminski N, Beane J, Spira A, Lenburg M, Campbell J. Integrative genetic and genomic networks identify microRNA associated with COPD and ILD. Scientific Reports 2023, 13: 13076. PMID: 37567908, PMCID: PMC10421936, DOI: 10.1038/s41598-023-39751-w.Peer-Reviewed Original ResearchMeSH KeywordsGenomicsHumansLungLung Diseases, InterstitialMicroRNAsPulmonary Disease, Chronic ObstructiveConceptsSeed sequenceGene expressionShort RNA sequencingAirway differentiationIntegrative network analysisExpression networksRNA sequencingGenomic networksMiRNA regulatorsMiRNA isoformsNotch pathwayIsomiRsDistinct subclustersSNP microarraysGenesMicroRNAsMolecular heterogeneityILD pathogenesisDisease networkOverexpressionSequenceExpressionNetwork analysisDifferentiationGrb2
2019
LCox: a tool for selecting genes related to survival outcomes using longitudinal gene expression data
Sun J, Herazo-Maya JD, Wang JL, Kaminski N, Zhao H. LCox: a tool for selecting genes related to survival outcomes using longitudinal gene expression data. Statistical Applications In Genetics And Molecular Biology 2019, 18: 20170060. PMID: 30759070, DOI: 10.1515/sagmb-2017-0060.Peer-Reviewed Original Research
2018
Fibrosis: Lessons from OMICS analyses of the human lung
Yu G, Ibarra GH, Kaminski N. Fibrosis: Lessons from OMICS analyses of the human lung. Matrix Biology 2018, 68: 422-434. PMID: 29567123, PMCID: PMC6015529, DOI: 10.1016/j.matbio.2018.03.014.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisDramatic phenotypic alterationsTranscriptomic studiesOmics analysisOmics profilingOmics technologiesPulmonary fibrosisNumerous aberrationsPhenotypic alterationsMechanistic understandingHuman idiopathic pulmonary fibrosisIPF lung tissueEpithelial cellsCentral roleHuman tissuesIPF samplesNew insightsMolecular featuresIPF lungsInflammatory cellsPatient cohortLung tissueAnimal modelsLethal disorderHuman lung
2015
A functional genomic model for predicting prognosis in idiopathic pulmonary fibrosis
Huang Y, Ma SF, Vij R, Oldham JM, Herazo-Maya J, Broderick SM, Strek ME, White SR, Hogarth DK, Sandbo NK, Lussier YA, Gibson KF, Kaminski N, Garcia JG, Noth I. A functional genomic model for predicting prognosis in idiopathic pulmonary fibrosis. BMC Pulmonary Medicine 2015, 15: 147. PMID: 26589497, PMCID: PMC4654815, DOI: 10.1186/s12890-015-0142-8.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPrognostic indexIPF patientsPulmonary fibrosisValidation cohortTraining cohortMultivariate Cox regression survival analysisPrognostic modelPeripheral blood mononuclear cellsUnivariate Cox regression analysisCox regression survival analysisLow-risk patientsWeighted gene co-expression network analysisCox regression analysisBlood mononuclear cellsCourse of diseaseIndependent validation cohortRegression survival analysisNovel prognostic modelPredictor genesT cell biologyT cell receptorCurrent prognostic toolsFunctional pathway analysisFold changeIntegrative 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 ResearchRationale and Design of the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) Study. Sarcoidosis Protocol
Moller DR, Koth LL, Maier LA, Morris A, Drake W, Rossman M, Leader JK, Collman RG, Hamzeh N, Sweiss NJ, Zhang Y, O’Neal S, Senior RM, Becich M, Hochheiser HS, Kaminski N, Wisniewski SR, Gibson KF, Group* F. Rationale and Design of the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) Study. Sarcoidosis Protocol. Annals Of The American Thoracic Society 2015, 12: 1561-1571. PMID: 26193069, PMCID: PMC4627423, DOI: 10.1513/annalsats.201503-172ot.Peer-Reviewed Original ResearchConceptsAlpha-1 antitrypsin deficiencyClinical courseLung microbiomeAntitrypsin deficiencyClinical heterogeneityPathobiology of sarcoidosisTremendous clinical heterogeneityObservational cohort studyPulmonary function testsSystemic inflammatory responsePeripheral blood changesDiagnosis of sarcoidosisSelf-administered questionnaireCohort studyBaseline visitBronchoalveolar lavageFunction testsGranulomatous inflammationSystemic diseaseSarcoidosis phenotypesUrine testingClinical bronchoscopyInflammatory responseSarcoidosis StudyPrognostic biomarkerRationale and Design of the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis Study. Alpha-1 Protocol
Strange C, Senior RM, Sciurba F, O’Neal S, Morris A, Wisniewski SR, Bowler R, Hochheiser HS, Becich MJ, Zhang Y, Leader JK, Methé BA, Kaminski N, Sandhaus RA, Group* F. Rationale and Design of the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis Study. Alpha-1 Protocol. Annals Of The American Thoracic Society 2015, 12: 1551-1560. PMID: 26153726, PMCID: PMC4627425, DOI: 10.1513/annalsats.201503-143oc.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlpha 1-Antitrypsin DeficiencyBronchoalveolar LavageCross-Sectional StudiesExercise ToleranceFemaleGenomicsGenotypeHumansMaleMicrobiotaMiddle AgedPhenotypeProspective StudiesPulmonary Disease, Chronic ObstructivePulmonary EmphysemaResearch DesignRespiratory Function TestsSarcoidosisTomography, X-Ray ComputedConceptsAlpha-1 antitrypsin deficiencyAugmentation therapyBronchoalveolar lavageAntitrypsin deficiencyClinical presentationPiZZ individualsAlpha-1-antitrypsin augmentation therapyAlpha-1 antitrypsin genotypeChronic obstructive pulmonary disease phenotypesPulmonary function testingAge 35 yearsVariable clinical presentationCross-sectional studyAlpha-1 antitrypsinIntermediate outcome measuresPulmonary disease phenotypesUnique genetic causeExercise capacityTherapeutic trialsChest tomographyClinical symptomsCOPD pathogenesisCOPD phenotypesFunction testingCOPD StudyA Novel Genomic Signature with Translational Significance for Human Idiopathic Pulmonary Fibrosis
Bauer Y, Tedrow J, de Bernard S, Birker-Robaczewska M, Gibson KF, Guardela BJ, Hess P, Klenk A, Lindell KO, Poirey S, Renault B, Rey M, Weber E, Nayler O, Kaminski N. A Novel Genomic Signature with Translational Significance for Human Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory Cell And Molecular Biology 2015, 52: 217-231. PMID: 25029475, PMCID: PMC4370242, DOI: 10.1165/rcmb.2013-0310oc.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisHuman idiopathic pulmonary fibrosisLung fibrosis modelGrowth factor-β1IPF lungsPulmonary fibrosisFibrosis modelFactor-β1Therapeutic interventionsDevastating lung diseasePrimary human lung fibroblastsLung Tissue Research ConsortiumGene marker setsPotential therapeutic interventionsHuman lung fibroblastsEpithelial A549 cellsHuman epithelial A549 cellsBleomycin instillationLung fibrosisControl lungsLung diseaseControl cohortControl subjectsTranslational significanceNovel treatmentsUpdate in Diffuse Parenchymal Lung Disease 2013
Rosas IO, Kaminski N. Update in Diffuse Parenchymal Lung Disease 2013. American Journal Of Respiratory And Critical Care Medicine 2015, 191: 270-274. PMID: 25635490, PMCID: PMC4351573, DOI: 10.1164/rccm.201405-0856up.Peer-Reviewed Original ResearchMeSH KeywordsAnti-Inflammatory Agents, Non-SteroidalClinical Trials, Phase III as TopicDisease ProgressionDrug ApprovalEnzyme InhibitorsGenomicsHumansIdiopathic Pulmonary FibrosisIndolesLung Diseases, InterstitialPolymorphism, GeneticPyridonesTreatment OutcomeUnited StatesUnited States Food and Drug AdministrationConceptsMajority of patientsDistinct clinical presentationsSignificant clinical implicationsClinical presentationPulmonary fibrosis researchDisease progressionClinical implicationsGenetic biomarkersPatientsFibrosis researchGenetic variantsBiological mechanismsIPFNew biological mechanismsNintedanibPirfenidonePeriodHistoric approval
2013
Functional Genomic Assessment of Phosgene-Induced Acute Lung Injury in Mice
Leikauf GD, Concel VJ, Bein K, Liu P, Berndt A, Martin TM, Ganguly K, Jang AS, Brant KA, Dopico RA, Upadhyay S, Cario C, Di YP, Vuga LJ, Kostem E, Eskin E, You M, Kaminski N, Prows DR, Knoell DL, Fabisiak JP. Functional Genomic Assessment of Phosgene-Induced Acute Lung Injury in Mice. American Journal Of Respiratory Cell And Molecular Biology 2013, 49: 130522202035005. PMID: 23590305, PMCID: PMC3824050, DOI: 10.1165/rcmb.2012-0337oc.Peer-Reviewed Original ResearchMeSH KeywordsAcute Lung InjuryAllelesAnimalsChemical Warfare AgentsChromosome MappingElectrophoretic Mobility Shift AssayFemaleGene ExpressionGene Expression ProfilingGenomeGenome-Wide Association StudyGenomicsGenotypeIntegrinsLungMiceMice, Inbred StrainsOligonucleotide Array Sequence AnalysisPhosgenePolymorphism, Single NucleotidePromoter Regions, GeneticReelin ProteinSodium-Potassium-Exchanging ATPaseConceptsSignificant SNP associationsSNP associationsTranscriptomic analysisCompetitive electrophoretic mobility shift analysisGenome-wide association mappingFunctional genomic assessmentPutative transcription factorElectrophoretic mobility shift analysisMobility shift analysisAssociation mappingGenetic resolutionTranscription factorsCandidate genesFunctional domainsNonsynonymous SNPsGenomic assessmentPhenotypic differencesPhenotypic extremesDiverse panelGenesGenetic determinantsShift analysisPTPRTAllelesITGA9
2012
Personalized medicine: applying omics to lung fibrosis
Herazo-Maya JD, Kaminski N. Personalized medicine: applying omics to lung fibrosis. Biomarkers In Medicine 2012, 6: 529-540. PMID: 22917154, PMCID: PMC3517740, DOI: 10.2217/bmm.12.38.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisFibrotic lung diseaseLung transplantPulmonary fibrosisLung fibrosisLung diseaseUnknown etiologyChronic diseasesSporadic formsHigh mortalityPatient careTreatment of diseasesDrug studiesCost-effective strategyDiseaseFibrosisDiagnosisPersonalized medicinePatientsTransplantEtiologyTherapyMortalityCarePreventionAn R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection
Wang X, Kang DD, Shen K, Song C, Lu S, Chang LC, Liao SG, Huo Z, Tang S, Ding Y, Kaminski N, Sibille E, Lin Y, Li J, Tseng GC. An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection. Bioinformatics 2012, 28: 2534-2536. PMID: 22863766, PMCID: PMC3463115, DOI: 10.1093/bioinformatics/bts485.Peer-Reviewed Original ResearchConceptsDifferent operation systemsMulti-core parallel computingUser-friendly softwareParallel computingPathway detectionSoftware suiteFlexible inputFast implementationOperation systemVisualization plotsSupplementary dataNew algorithmMetapathsNew challengesSummary outputMarker detectionPathway databasesLittle effortMeta-analysis pipelineRapid advancesHigh-throughput genomic technologiesGenomic dataSystematic pipelineComputingPipeline
2011
MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis
Kang DD, Sibille E, Kaminski N, Tseng GC. MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis. Nucleic Acids Research 2011, 40: e15-e15. PMID: 22116060, PMCID: PMC3258120, DOI: 10.1093/nar/gkr1071.Peer-Reviewed Original ResearchEvolving Genomic Approaches to Idiopathic Pulmonary Fibrosis: Moving Beyond Genes
Kass DJ, Kaminski N. Evolving Genomic Approaches to Idiopathic Pulmonary Fibrosis: Moving Beyond Genes. Clinical And Translational Science 2011, 4: 372-379. PMID: 22029812, PMCID: PMC3229869, DOI: 10.1111/j.1752-8062.2011.00287.x.Peer-Reviewed Original ResearchConceptsGenomic technologiesIdiopathic pulmonary fibrosisPathogenesis of diseaseGenomic discoveriesSystems biology approachGene expression profilingContribution of microRNAsMost human diseasesGenomic approachesGene networksBiology approachHuman genomeEpigenetic researchGenomic dataExpression profilingHuman diseasesPulmonary fibrosisDiagnosis of IPFGenesLarge collaborative studiesProgressive scarringPeripheral bloodClinical severityLung parenchymaTherapeutic goals
2010
Functional Genomics of Chlorine-induced Acute Lung Injury in Mice
Leikauf GD, Pope-Varsalona H, Concel VJ, Liu P, Bein K, Brant KA, Dopico RA, Di YP, Jang AS, Dietsch M, Medvedovic M, Li Q, Vuga LJ, Kaminski N, You M, Prows DR. Functional Genomics of Chlorine-induced Acute Lung Injury in Mice. Annals Of The American Thoracic Society 2010, 7: 294-296. PMID: 20601635, PMCID: PMC3136967, DOI: 10.1513/pats.201001-005sm.Peer-Reviewed Original ResearchConceptsAcute lung injuryChlorine-induced acute lung injuryLung injuryMouse strainsMean survival timeGene-targeted miceSusceptibility candidate genesSupportive measuresSurvival timeDivergent strainsInjuryCandidate genesCritical candidate genesFunctional genomics approachMiceAdditional genetic analysesMolecular eventsFunctional significanceFunctional genomicsGenomic approachesChlorine exposureGenetic basisNovel insightsGenetic analysisHospitalization
2007
Genomics and proteomics of lung disease: conference summary
Raj JU, Aliferis C, Caprioli RM, Cowley AW, Davies PF, Duncan MW, Erle DJ, Erzurum SC, Finn PW, Ischiropoulos H, Kaminski N, Kleeberger SR, Leikauf GD, Loyd JE, Martin TR, Matalon S, Moore JH, Quackenbush J, Sabo-Attwood T, Shapiro SD, Schnitzer JE, Schwartz DA, Schwiebert LM, Sheppard D, Ware LB, Weiss ST, Whitsett JA, Wurfel MM, Matthay MA. Genomics and proteomics of lung disease: conference summary. American Journal Of Physiology - Lung Cellular And Molecular Physiology 2007, 293: l45-l51. PMID: 17468134, PMCID: PMC4212816, DOI: 10.1152/ajplung.00139.2007.Peer-Reviewed Original Research
2004
Functional Genomics of Lung Disease
Whitsett J, Bachurski C, Barnes K, Bunn P, Case L, Cook D, Crooks D, Duncan M, Dwyer-Nield L, Elston R, Fessler M, Franklin W, Friedman N, Garcia J, Geraci M, Glasgow C, Glasser S, Hardie W, Henning L, Johnson G, Kawkitinarong K, Keith R, Korfhagen T, Leikauf G, Liggett S, Malcolm K, Malkinson A, Mariani T, McDowell S, McGraw D, Medvedovic M, Moss J, Nogee L, Nonas S, Pacheco-Rodriguez G, Palmer L, Peters D, Prows D, Redline S, Regev A, Sartor M, Schwartz D, Silverman E, Steagall W, Stearman R, Taveira-DaSilva A, Tichelaar J, Tomlinson C, Tsukada K, Weaver T, Wert S, Wesselkamper S, Worthen G, Xu Y, Zerbe L, Zhang Y, Zhang Y, Choi A, Kaminski N. Functional Genomics of Lung Disease. American Journal Of Respiratory Cell And Molecular Biology 2004, 31: s1-s81. PMID: 15269003, DOI: 10.1165/rcmb.2004-0071su.Peer-Reviewed Original Research