2022
Integrative analyses for the identification of idiopathic pulmonary fibrosis-associated genes and shared loci with other diseases
Chen M, Zhang Y, Adams T, Ji D, Jiang W, Wain LV, Cho M, Kaminski N, Zhao H. Integrative analyses for the identification of idiopathic pulmonary fibrosis-associated genes and shared loci with other diseases. Thorax 2022, 78: 792-798. PMID: 36216496, PMCID: PMC10083187, DOI: 10.1136/thorax-2021-217703.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association analysisLocal genetic correlationsSingle-cell expression dataCandidate genesTranscription factorsIntegrative analysisGenomic regionsGenetic correlationsExpression dataTF target genesComplex genetic architectureTF binding sitesWide association studyPower of GWASSpecific DEGsGenetic architectureNew genesNovel genesCausal genesTarget genesGenetic basisEnrichment analysisAssociation studiesRegulatory roleAssociation analysisType I interferon transcriptional network regulates expression of coinhibitory receptors in human T cells
Sumida TS, Dulberg S, Schupp JC, Lincoln MR, Stillwell HA, Axisa PP, Comi M, Unterman A, Kaminski N, Madi A, Kuchroo VK, Hafler DA. Type I interferon transcriptional network regulates expression of coinhibitory receptors in human T cells. Nature Immunology 2022, 23: 632-642. PMID: 35301508, PMCID: PMC8989655, DOI: 10.1038/s41590-022-01152-y.Peer-Reviewed Original ResearchConceptsCoinhibitory receptor expressionHuman T cellsIFN-I responsesCoinhibitory receptorsT cellsTIGIT expressionReceptor expressionAcute SARS-CoV-2 infectionPD-1/TimSARS-CoV-2 infectionEnhancement of immunotherapyType 1 interferonT-cell featuresLAG-3Infectious diseasesDifferent temporal kineticsTranscription factorsCancer therapyReceptorsCell featuresKey transcription factorIFNPresent studyMRNA profilingKey regulatorBAL Transcriptomes Characterize Idiopathic Pulmonary Fibrosis Endotypes With Prognostic Impact
De Sadeleer LJ, Verleden SE, Schupp JC, McDonough JE, Goos T, Yserbyt J, Bargagli E, Rottoli P, Kaminski N, Prasse A, Wuyts WA. BAL Transcriptomes Characterize Idiopathic Pulmonary Fibrosis Endotypes With Prognostic Impact. CHEST Journal 2022, 161: 1576-1588. PMID: 35063449, PMCID: PMC9424328, DOI: 10.1016/j.chest.2021.12.668.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisIPF samplesIndependent validation cohortAvailable gene expression datasetsClinical characteristicsPrognostic impactWorse survivalPathophysiologic mechanismsPulmonary fibrosisClinical evolutionClinical variablesValidation cohortEnrichment analysisBAL samplesSurvival-associated genesBlood samplesEndotypesStudy designControl participantsMitochondrial dysfunctionPatientsFibrosisSurvivalTranscription factorsNumeric trends
2018
Reconstructing differentiation networks and their regulation from time series single-cell expression data
Ding J, Aronow BJ, Kaminski N, Kitzmiller J, Whitsett JA, Bar-Joseph Z. Reconstructing differentiation networks and their regulation from time series single-cell expression data. Genome Research 2018, 28: 383-395. PMID: 29317474, PMCID: PMC5848617, DOI: 10.1101/gr.225979.117.Peer-Reviewed Original ResearchTranscription factorsSingle-cell expression dataSingle-cell RNA-seq dataRNA-seq dataDiverse cell populationsGene expression levelsDifferent cell typesStages of organogenesisCell fateDescendant cellsDifferentiation networkExpression similarityKey regulatorRegulatory informationExpression dataCell typesProgenitor cellsCell trajectoriesExpression levelsCell populationsDevelopmental dataCellsLineagesOrganogenesisRegulator
2014
Relationship of DNA Methylation and Gene Expression in Idiopathic Pulmonary Fibrosis
Yang IV, Pedersen BS, Rabinovich E, Hennessy CE, Davidson EJ, Murphy E, Guardela BJ, Tedrow JR, Zhang Y, Singh MK, Correll M, Schwarz MI, Geraci M, Sciurba FC, Quackenbush J, Spira A, Kaminski N, Schwartz DA. Relationship of DNA Methylation and Gene Expression in Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2014, 190: 1263-1272. PMID: 25333685, PMCID: PMC4315819, DOI: 10.1164/rccm.201408-1452oc.Peer-Reviewed Original ResearchConceptsGene expressionDNA methylationMethylation marksMethylation changesQuantitative trait lociTrans-gene expressionIntegrative genomic analysisTrait lociEpigenetic mechanismsTranscriptional changesGenomic analysisTranscription factorsCASZ1 expressionTarget genesFunctional validationExpression relationshipsMethylationGenesDMRsExpressionEnvironmental factorsTargeted analysisPathogenesis of IPFComplex interactionsTranscriptome
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 analysisPTPRTAllelesITGA9Reconstructing dynamic microRNA-regulated interaction networks
Schulz MH, Pandit KV, Cardenas C, Ambalavanan N, Kaminski N, Bar-Joseph Z. Reconstructing dynamic microRNA-regulated interaction networks. Proceedings Of The National Academy Of Sciences Of The United States Of America 2013, 110: 15686-15691. PMID: 23986498, PMCID: PMC3785769, DOI: 10.1073/pnas.1303236110.Peer-Reviewed Original ResearchConceptsTranscription factorsGene expressionDynamic Regulatory Events MinerTemporal gene expressionDynamic regulatory networksSpecific developmental phasesMRNA expression dataLung developmentRegulatory networksMiRNA targetsInteraction networksImportant miRNAsExpression dataMiRNAsAdditional miRNAsLung differentiationDevelopmental phasesMiRNAPostnatal lung developmentProgression pathwaysProliferation assaysExpressionRegulationMRNA expressionMicroRNAs
2012
First-in-Human Trial of a STAT3 Decoy Oligonucleotide in Head and Neck Tumors: Implications for Cancer Therapy
Sen M, Thomas SM, Kim S, Yeh JI, Ferris RL, Johnson JT, Duvvuri U, Lee J, Sahu N, Joyce S, Freilino ML, Shi H, Li C, Ly D, Rapireddy S, Etter JP, Li PK, Wang L, Chiosea S, Seethala RR, Gooding WE, Chen X, Kaminski N, Pandit K, Johnson DE, Grandis JR. First-in-Human Trial of a STAT3 Decoy Oligonucleotide in Head and Neck Tumors: Implications for Cancer Therapy. Cancer Discovery 2012, 2: 694-705. PMID: 22719020, PMCID: PMC3668699, DOI: 10.1158/2159-8290.cd-12-0191.Peer-Reviewed Original ResearchConceptsSTAT3 target genesTarget genesSTAT3 target gene expressionSTAT3-selective inhibitorsTarget gene expressionInhibited xenograft growthSelective STAT3 inhibitorSystemic administrationTranscription factor decoyTranscription factorsSTAT3 proteinBroader clinical developmentGene expressionPhase 0 trialsSTAT3 inhibitorHuman cancersSTAT3Expression levelsSTAT3 decoyCancer cellsCellular viabilityNeck cancerSaline controlsNeck tumorsHuman trials
2011
Finding subtypes of transcription factor motif pairs with distinct regulatory roles
Bais AS, Kaminski N, Benos PV. Finding subtypes of transcription factor motif pairs with distinct regulatory roles. Nucleic Acids Research 2011, 39: e76-e76. PMID: 21486752, PMCID: PMC3113591, DOI: 10.1093/nar/gkr205.Peer-Reviewed Original ResearchConceptsTF binding sitesTranscription factorsDownstream regulationMotif pairsTF-DNA binding specificityBinding preferencesDNA binding specificityDNA binding preferencesDistinct regulatory rolesDownstream regulatory effectsMultiple regulatory pathwaysDifferent binding preferencesDyad motifDNA sequencesSequence elementsRegulatory pathwaysBinding specificityRegulatory roleDifferential recruitmentBinding sitesMotif discoveryRegulationCofactorMotifDistinct modesHaplotype Association Mapping of Acute Lung Injury in Mice Implicates Activin A Receptor, Type 1
Leikauf GD, Concel VJ, Liu P, Bein K, Berndt A, Ganguly K, Jang AS, Brant KA, Dietsch M, Pope-Varsalona H, Dopico RA, Di YP, Li Q, Vuga LJ, Medvedovic M, Kaminski N, You M, Prows DR. Haplotype Association Mapping of Acute Lung Injury in Mice Implicates Activin A Receptor, Type 1. American Journal Of Respiratory And Critical Care Medicine 2011, 183: 1499-1509. PMID: 21297076, PMCID: PMC3137140, DOI: 10.1164/rccm.201006-0912oc.Peer-Reviewed Original ResearchConceptsDNA-protein bindingHaplotype association mappingSingle nucleotide polymorphism associationsAssociation mappingSNP associationsGenome-wide strategiesPrevious genetic analysisAcute lung injuryAmino acid substitutionsGenomic approachesLung injuryTranscription factorsCell signalingEnriched pathwaysCandidate genesSequence differencesChromosome 1Genetic analysisAssociated variantsAcid substitutionsActivin A receptorsGenesFunctional consequencesPolymorphism associationPolar strains
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
2004
Comprehensive gene expression profiles reveal pathways related to the pathogenesis of chronic obstructive pulmonary disease
Ning W, Li CJ, Kaminski N, Feghali-Bostwick CA, Alber SM, Di YP, Otterbein SL, Song R, Hayashi S, Zhou Z, Pinsky DJ, Watkins SC, Pilewski JM, Sciurba FC, Peters DG, Hogg JC, Choi AM. Comprehensive gene expression profiles reveal pathways related to the pathogenesis of chronic obstructive pulmonary disease. Proceedings Of The National Academy Of Sciences Of The United States Of America 2004, 101: 14895-14900. PMID: 15469929, PMCID: PMC522001, DOI: 10.1073/pnas.0401168101.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseGene expressionObstructive pulmonary diseaseEgr-1 DNA-binding activityComprehensive gene expression profilesUnreported candidate genesMatrix metalloproteinase-2Gene expression patternsDNA-binding activityGene expression profilesEgr1-null miceExtracellular matrix proteinsEgr-1 protein expressionPulmonary diseaseEpithelial cellsGOLD 2Transcription factorsSAGE analysisPotential molecular targetsReal-time quantitative RT-PCRMolecular basisCandidate genesHuman lung fibroblast cellsRelated proteinsExpression patterns
2003
Global Expression Profiling of Fibroblast Responses to Transforming Growth Factor-β1 Reveals the Induction of Inhibitor of Differentiation-1 and Provides Evidence of Smooth Muscle Cell Phenotypic Switching
Chambers RC, Leoni P, Kaminski N, Laurent GJ, Heller RA. Global Expression Profiling of Fibroblast Responses to Transforming Growth Factor-β1 Reveals the Induction of Inhibitor of Differentiation-1 and Provides Evidence of Smooth Muscle Cell Phenotypic Switching. American Journal Of Pathology 2003, 162: 533-546. PMID: 12547711, PMCID: PMC1851161, DOI: 10.1016/s0002-9440(10)63847-3.Peer-Reviewed Original ResearchMeSH KeywordsCell DivisionCell LineCell SurvivalFetusFibroblastsGene Expression ProfilingHelix-Loop-Helix MotifsHumansImmunohistochemistryInhibitor of Differentiation Protein 1Inhibitor of Differentiation ProteinsLungMuscle, SmoothNeoplasm ProteinsPhenotypeRepressor ProteinsRNA, MessengerTranscription FactorsTranscription, GeneticTransforming Growth Factor betaTransforming Growth Factor beta1ConceptsMajor functional categoriesHelix transcription factorGlobal gene expressionNumber of genesCell lineage commitmentGlobal expression profilingDominant-negative antagonistSmooth muscle cell phenotypic switchingProtein levelsSmooth muscle myosin heavy chainInduction of inhibitorMuscle myosin heavy chainTransformation of fibroblastsImmediate early genesTranscriptional regulatorsTranscriptional programsExtracellular matrix protein depositionTranscriptional programmingProtein biosynthesisGene groupsLineage commitmentCytoskeletal reorganizationTranscription factorsFunctional categoriesCell signaling