2024
SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data
Liu Y, Li N, Qi J, Xu G, Zhao J, Wang N, Huang X, Jiang W, Wei H, Justet A, Adams T, Homer R, Amei A, Rosas I, Kaminski N, Wang Z, Yan X. SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data. Genome Biology 2024, 25: 271. PMID: 39402626, PMCID: PMC11475911, DOI: 10.1186/s13059-024-03416-2.Peer-Reviewed Original ResearchSingle-cell RNA-seq analysis of cell-cell communications in human lung reveals a novel role of VEGF-D in acute lung injury
Yuan Y, Sharma L, Tang W, Raredon M, Ahangari F, Khoury J, Wu D, Niklason L, Kaminski N. Single-cell RNA-seq analysis of cell-cell communications in human lung reveals a novel role of VEGF-D in acute lung injury. Physiology 2024, 39: 1314. DOI: 10.1152/physiol.2024.39.s1.1314.Peer-Reviewed Original ResearchIdiopathic pulmonary fibrosisAcute lung injuryChronic obstructive pulmonary diseaseAcute respiratory distress syndromeAnalysis of cell-cell communicationVEGF-DMicrovascular nicheSingle-cell RNA-seqLung injury modelSingle-cell RNA-seq analysisLung injuryCell-cell communicationLigand-receptor pairsLPS-induced lung injury modelRNA-seqAdjacent cell typesPulmonary diseaseInjury modelHuman lung endothelial cellsBarrier functionImmune cell infiltrationTumor necrosis factor-aRespiratory distress syndromeLung vascular integrityGene expression
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 ResearchConceptsSeed sequenceGene expressionShort RNA sequencingAirway differentiationIntegrative network analysisExpression networksRNA sequencingGenomic networksMiRNA regulatorsMiRNA isoformsNotch pathwayIsomiRsDistinct subclustersSNP microarraysGenesMicroRNAsMolecular heterogeneityILD pathogenesisDisease networkOverexpressionSequenceExpressionNetwork analysisDifferentiationGrb2PCSK6 and Survival in Idiopathic Pulmonary Fibrosis
Oldham J, Allen R, Lorenzo-Salazar J, Molyneaux P, Ma S, Joseph C, Kim J, Guillen-Guio B, Hernández-Beeftink T, Kropski J, Huang Y, Lee C, Adegunsoye A, Pugashetti J, Linderholm A, Vo V, Strek M, Jou J, Muñoz-Barrera A, Rubio-Rodriguez L, Hubbard R, Hirani N, Whyte M, Hart S, Nicholson A, Lancaster L, Parfrey H, Rassl D, Wallace W, Valenzi E, Zhang Y, Mychaleckyj J, Stockwell A, Kaminski N, Wolters P, Molina-Molina M, Banovich N, Fahy W, Martinez F, Hall I, Tobin M, Maher T, Blackwell T, Yaspan B, Jenkins R, Flores C, Wain L, Noth I. PCSK6 and Survival in Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2023, 207: 1515-1524. PMID: 36780644, PMCID: PMC10263132, DOI: 10.1164/rccm.202205-0845oc.Peer-Reviewed Original ResearchConceptsGenome-wide significanceTransplantation-free survivalIdiopathic pulmonary fibrosisStage IIPF survivalDownstream analysisPulmonary fibrosisIPF progressionWide association studyPeripheral blood gene expressionProportional hazards regressionStage II casesLimited treatment optionsStage I casesBlood gene expressionGene expressionAssociation studiesMolecular determinantsHazards regressionTreatment optionsPlasma concentrationsLung parenchymaConsistent effect directionMolecular driversProteinThe Extracellular Matrix of the Human Proximal Pulmonary Artery Regulates Gene Expression of Resident Cells Responsible for Remodeling During Aging
Yuan Y, Khoury J, Ramachandra A, Singh I, Tellides G, Humphrey J, Kaminski N, Manning E. The Extracellular Matrix of the Human Proximal Pulmonary Artery Regulates Gene Expression of Resident Cells Responsible for Remodeling During Aging. 2023, a2680-a2680. DOI: 10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a2680.Peer-Reviewed Original Research
2022
Microenvironmental sensing by fibroblasts controls macrophage population size
Zhou X, Franklin RA, Adler M, Carter TS, Condiff E, Adams TS, Pope SD, Philip NH, Meizlish ML, Kaminski N, Medzhitov R. Microenvironmental sensing by fibroblasts controls macrophage population size. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2205360119. PMID: 35930670, PMCID: PMC9371703, DOI: 10.1073/pnas.2205360119.Peer-Reviewed Original ResearchConceptsCell typesDensity-dependent gene expressionTGF-β target genesDiverse cell typesActin-dependent mechanismLineage-specific growth factorsDistinct cell typesGrowth factor availabilityActivation of YAP1Different cell typesExpression programsMicroenvironmental sensingTranscriptional coactivatorTarget genesGene expressionPopulation sizeFactor availabilityPopulation numbersTissue environmentTissue integrityHippoProliferation of macrophagesYAP1Animal tissuesMechanical forcesFrom COVID to fibrosis: lessons from single-cell analyses of the human lung
Justet A, Zhao AY, Kaminski N. From COVID to fibrosis: lessons from single-cell analyses of the human lung. Human Genomics 2022, 16: 20. PMID: 35698166, PMCID: PMC9189802, DOI: 10.1186/s40246-022-00393-0.Peer-Reviewed Original ResearchConceptsSingle-cell RNA-sequencing technologySingle-cell RNA sequencingRNA-sequencing technologyGene expression patternsMonocyte-derived macrophage populationSingle-cell analysisCell populationsLung diseaseCellular phenotypesRNA sequencingExpression patternsGene expressionAberrant repairMultiple tissuesPulmonary fibrosisMechanisms of diseaseFibrotic interstitial lung diseaseLife-threatening complicationsProgressive lung diseaseCOVID-19 pneumoniaInterstitial lung diseaseParenchymal lung diseaseAcute viral diseaseMacrophage populationsNovel cellIntegrating Gene Expression with Genome-Wide Association Summary Statistics to Identify Genes Associated with Idiopathic Pulmonary Fibrosis Survival
Hu X, Kim J, Ma S, Huang Y, Oldham J, Allen R, Molyneaux P, Joseph C, Guillen Guio B, Hernández Beeftink T, Kropski J, Lee C, Adegunsoye A, Pugashetti J, Linderholm A, Strek M, Hubbard R, Hart S, Nicholson A, Lancaster L, Lorenzo-Salazar J, Vo V, Hirani N, Whyte M, Parfrey H, Rassl D, Wallace W, Valenzi E, Zhang Y, Stockwell A, Kaminski N, Wolters P, Molina-Molina M, Martinez F, Hall I, Tobin M, Maher T, Blackwell T, Yaspan B, Jenkins R, Wain L, Flores C, Noth I, Manichaikul A. Integrating Gene Expression with Genome-Wide Association Summary Statistics to Identify Genes Associated with Idiopathic Pulmonary Fibrosis Survival. 2022, a2326-a2326. DOI: 10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2326.Peer-Reviewed Original ResearchSingle-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19
Unterman A, Sumida TS, Nouri N, Yan X, Zhao AY, Gasque V, Schupp JC, Asashima H, Liu Y, Cosme C, Deng W, Chen M, Raredon MSB, Hoehn KB, Wang G, Wang Z, DeIuliis G, Ravindra NG, Li N, Castaldi C, Wong P, Fournier J, Bermejo S, Sharma L, Casanovas-Massana A, Vogels CBF, Wyllie AL, Grubaugh ND, Melillo A, Meng H, Stein Y, Minasyan M, Mohanty S, Ruff WE, Cohen I, Raddassi K, Niklason L, Ko A, Montgomery R, Farhadian S, Iwasaki A, Shaw A, van Dijk D, Zhao H, Kleinstein S, Hafler D, Kaminski N, Dela Cruz C. Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19. Nature Communications 2022, 13: 440. PMID: 35064122, PMCID: PMC8782894, DOI: 10.1038/s41467-021-27716-4.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAgedAntibodies, Monoclonal, HumanizedCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedCOVID-19COVID-19 Drug TreatmentFemaleGene Expression ProfilingGene Expression RegulationHumansImmunity, InnateMaleReceptors, Antigen, B-CellReceptors, Antigen, T-CellRNA-SeqSARS-CoV-2Single-Cell AnalysisConceptsProgressive COVID-19B cell clonesSingle-cell analysisT cellsImmune responseMulti-omics single-cell analysisCOVID-19Cell clonesAdaptive immune interactionsSevere COVID-19Dynamic immune responsesGene expressionSARS-CoV-2 virusAdaptive immune systemSomatic hypermutation frequenciesCellular effectsProtein markersEffector CD8Immune signaturesProgressive diseaseHypermutation frequencyProgressive courseClassical monocytesClonesImmune interactions
2021
S65 Genome-wide association study of survival times after diagnosis of idiopathic pulmonary fibrosis
Allen R, Oldham J, Lorenzo-Salazar J, Molyneaux P, Ma S, Stockwell A, Joseph C, Kim J, Guillen-Guio B, Hernandez-Beeftink T, Kropski J, Huang Y, Lee C, Adegunsoye A, Pugashetti J, Linderholm A, Vo V, Strek M, Hubbard R, Hirani N, Whyte M, Hart S, Nicholson A, Parfrey H, Rassl D, Wallace W, Fahy W, Valenzi E, Zhang Y, Kaminski N, Wolters P, Molina-Molina M, Martinez F, Hall I, Tobin, Maher T, Blackwell T, Yaspan B, Jenkins R, Flores C, Wain L, Noth I. S65 Genome-wide association study of survival times after diagnosis of idiopathic pulmonary fibrosis. Thorax 2021, 76: a43-a43. DOI: 10.1136/thorax-2021-btsabstracts.71.Peer-Reviewed Original ResearchGenome-wide analysisIdiopathic pulmonary fibrosisAssociation studiesGenome-wide association studiesGenetic variantsImportant biological processesWide association studyTwo-stage GWASIPF casesIPF survivalSurvival timeDisease progressionDNA regionsFirst GWASLikely genePulmonary fibrosisGene expressionBiological processesDiagnosis of IPFGenetic principal componentsProgression of IPFDisease riskStage 1Genetic determinantsCox proportional hazards modelTranscriptomics of bronchoalveolar lavage cells identifies new molecular endotypes of sarcoidosis
Vukmirovic M, Yan X, Gibson KF, Gulati M, Schupp JC, DeIuliis G, Adams TS, Hu B, Mihaljinec A, Woolard TN, Lynn H, Emeagwali N, Herzog EL, Chen ES, Morris A, Leader JK, Zhang Y, Garcia JGN, Maier LA, Collman RG, Drake WP, Becich MJ, Hochheiser H, Wisniewski SR, Benos PV, Moller DR, Prasse A, Koth LL, Kaminski N. Transcriptomics of bronchoalveolar lavage cells identifies new molecular endotypes of sarcoidosis. European Respiratory Journal 2021, 58: 2002950. PMID: 34083402, PMCID: PMC9759791, DOI: 10.1183/13993003.02950-2020.Peer-Reviewed Original ResearchConceptsWeighted gene co-expression network analysisGene co-expression network analysisCo-expression network analysisGene expression programsGene expression patternsDistinct transcriptional programsImmune response pathwaysIon Torrent ProtonMicroarray expression datasetsExpression programsTranscriptional programsPhenotypic traitsGene modulesResponse pathwaysRNA sequencingMolecular endotypesExpression patternsGene expressionHilar lymphadenopathyOrgan involvementGenomic researchMechanistic targetExpression datasetsT helper type 1T cell immune responses
2020
Genetic analyses identify GSDMB associated with asthma severity, exacerbations, and antiviral pathways
Li X, Christenson SA, Modena B, Li H, Busse WW, Castro M, Denlinger LC, Erzurum SC, Fahy JV, Gaston B, Hastie AT, Israel E, Jarjour NN, Levy BD, Moore WC, Woodruff PG, Kaminski N, Wenzel SE, Bleecker ER, Meyers DA, Program N. Genetic analyses identify GSDMB associated with asthma severity, exacerbations, and antiviral pathways. Journal Of Allergy And Clinical Immunology 2020, 147: 894-909. PMID: 32795586, PMCID: PMC7876167, DOI: 10.1016/j.jaci.2020.07.030.Peer-Reviewed Original ResearchConceptsExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisSingle nucleotide polymorphismsGasdermin BMultiple single nucleotide polymorphismsFunctional genesExpression levelsLocus analysisAntiviral pathwaysGenes/single-nucleotide polymorphismsWhole genome sequencesGene expression dataEpithelial cellsImmune system pathwaysHigh expression levelsHuman bronchial epithelial cellsIFN regulatory factorGPI attachmentGSDMB expressionAsthma susceptibilityGenetic analysisGene expressionPathway analysisBronchial epithelial cellsRegulatory factors
2019
Elevated CO2 regulates the Wnt signaling pathway in mammals, Drosophila melanogaster and Caenorhabditis elegans
Shigemura M, Lecuona E, Angulo M, Dada LA, Edwards MB, Welch LC, Casalino-Matsuda SM, Sporn PHS, Vadász I, Helenius IT, Nader GA, Gruenbaum Y, Sharabi K, Cummins E, Taylor C, Bharat A, Gottardi CJ, Beitel GJ, Kaminski N, Budinger GRS, Berdnikovs S, Sznajder JI. Elevated CO2 regulates the Wnt signaling pathway in mammals, Drosophila melanogaster and Caenorhabditis elegans. Scientific Reports 2019, 9: 18251. PMID: 31796806, PMCID: PMC6890671, DOI: 10.1038/s41598-019-54683-0.Peer-Reviewed Original ResearchConceptsLarge-scale transcriptomic studyAvailable transcriptomic datasetsCell linesWnt pathway genesOrganismal functionDrosophila melanogasterElevated CO2Different tissue originsTranscriptomic studiesBronchial cell lineCO2 elevationTranscriptomic datasetsGenomic responsesHuman bronchial cell linePathway genesGene expressionDifferent tissuesGenesHigh CO2Tissue originMammalsSkeletal musclePathwayCaenorhabditisMelanogasterBAL Cell Gene Expression in Severe Asthma Reveals Mechanisms of Severe Disease and Influences of Medications
Weathington N, O’Brien M, Radder J, Whisenant TC, Bleecker ER, Busse WW, Erzurum SC, Gaston B, Hastie A, Jarjour N, Meyers D, Milosevic J, Moore W, Tedrow J, Trudeau J, Wong H, Wu W, Kaminski N, Wenzel S, Modena B. BAL Cell Gene Expression in Severe Asthma Reveals Mechanisms of Severe Disease and Influences of Medications. American Journal Of Respiratory And Critical Care Medicine 2019, 200: 837-856. PMID: 31161938, PMCID: PMC6812436, DOI: 10.1164/rccm.201811-2221oc.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AgonistsAdultAsthmaBronchoalveolar Lavage FluidCase-Control StudiesCyclic AMPEosinophilsEpithelial CellsFemaleGene ExpressionHumansIn Vitro TechniquesLymphocytesMacrophages, AlveolarMaleNeutrophilsSequence Analysis, RNASeverity of Illness IndexSignal TransductionTHP-1 CellsConceptsCell gene expressionGene expressionAirway epithelial cell gene expressionEpithelial cell gene expressionGlobal gene expressionCellular gene expressionCell expression profilesAsthma susceptibility lociProtein levelsSystem-wide analysisExpression networksImportant disease mechanismCoexpression networkCellular milieuExpression changesExpression profilesSusceptibility lociCellular modelDisease mechanismsBiomolecular mechanismsNew targetsRobust upregulationSample traitsGenesExpressionBAL Cell Gene Expression Is Indicative of Outcome and Airway Basal Cell Involvement in Idiopathic Pulmonary Fibrosis
Prasse A, Binder H, Schupp JC, Kayser G, Bargagli E, Jaeger B, Hess M, Rittinghausen S, Vuga L, Lynn H, Violette S, Jung B, Quast K, Vanaudenaerde B, Xu Y, Hohlfeld JM, Krug N, Herazo-Maya JD, Rottoli P, Wuyts WA, Kaminski N. BAL Cell Gene Expression Is Indicative of Outcome and Airway Basal Cell Involvement in Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2019, 199: 622-630. PMID: 30141961, PMCID: PMC6396865, DOI: 10.1164/rccm.201712-2551oc.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisAirway basal cellsChronic obstructive pulmonary diseaseObstructive pulmonary diseasePulmonary diseaseBAL cellsBasal cellsPulmonary fibrosisControl subjectsCell gene expressionIndependent IPF cohortsNine-gene signatureIPF cohortDerivation cohortClinical parametersRetrospective studyUnivariate analysisUnpredictable courseCell involvementDiscovery cohortGene expressionHealthy volunteersCox modelStage IIIFatal disease
2018
An HDAC9-MALAT1-BRG1 complex mediates smooth muscle dysfunction in thoracic aortic aneurysm
Lino Cardenas CL, Kessinger CW, Cheng Y, MacDonald C, MacGillivray T, Ghoshhajra B, Huleihel L, Nuri S, Yeri AS, Jaffer FA, Kaminski N, Ellinor P, Weintraub NL, Malhotra R, Isselbacher EM, Lindsay ME. An HDAC9-MALAT1-BRG1 complex mediates smooth muscle dysfunction in thoracic aortic aneurysm. Nature Communications 2018, 9: 1009. PMID: 29520069, PMCID: PMC5843596, DOI: 10.1038/s41467-018-03394-7.Peer-Reviewed Original ResearchMeSH KeywordsActomyosinAnimalsAortaAortic Aneurysm, ThoracicCell LineCell NucleusChromatinDisease Models, AnimalDNA HelicasesDNA MethylationFemaleFluorescent Antibody TechniqueHistone DeacetylasesHistonesHumansMaleMiceMice, KnockoutMuscle, Smooth, VascularMutationMyocytes, Smooth MuscleNuclear ProteinsPhenotypePrimary Cell CultureRepressor ProteinsRNA InterferenceRNA, Long NoncodingRNA, Small InterferingSignal TransductionTranscription FactorsTransforming Growth Factor betaConceptsChromatin-remodeling enzyme BRG1Contractile protein gene expressionProtein gene expressionLong noncoding RNA MALAT1Noncoding RNA MALAT1Bind chromatinTGF-β signalingTrimethylation modificationActomyosin cytoskeletonEpigenetic pathwaysContractile protein expressionGene expressionSimilar phenotypeRNA MALAT1Ternary complexBRG1HDAC9VSMC dysfunctionAortic aneurysmCytoskeletonProtein expressionPotential common mechanismsCommon mechanismSmooth muscle dysfunctionMutations
2017
Transcriptome profiles in sarcoidosis and their potential role in disease prediction
Schupp JC, Vukmirovic M, Kaminski N, Prasse A. Transcriptome profiles in sarcoidosis and their potential role in disease prediction. Current Opinion In Pulmonary Medicine 2017, 23: 487-492. PMID: 28590292, PMCID: PMC5637542, DOI: 10.1097/mcp.0000000000000403.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGenome-wide expression studiesWide expression studiesTranscriptome profilesTranscriptomic dataRNA sequencingExpression studiesGene expressionMolecular mechanismsLarge prospective followTh1 immune responseTranscriptomeNonnecrotizing granulomasProspective followSystemic diseaseDisease progressionTreatment outcomesImmune responseSarcoidosisPotential roleControl tissuesProgressive sarcoidosisKey roleDiseaseTranscriptomicsGranulomasSelecting 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 ResearchConceptsMolecular dataMouse lung developmentHigh-throughput profilingHigh-throughput studiesDNA methylationGene expressionThroughput profilingExpression dataTime series experimentsExpression valuesLung developmentSeries experimentsBiological systemsGenesMethylationMiRNAProteinProfilingExpressionTime pointsKey design strategiesLarge setAppropriate time points
2016
Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease
Modena BD, Bleecker ER, Busse WW, Erzurum SC, Gaston BM, Jarjour NN, Meyers DA, Milosevic J, Tedrow JR, Wu W, Kaminski N, Wenzel SE. Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease. American Journal Of Respiratory And Critical Care Medicine 2016, 195: 1449-1463. PMID: 27984699, PMCID: PMC5470748, DOI: 10.1164/rccm.201607-1407oc.Peer-Reviewed Original ResearchConceptsWeighted gene coexpression network analysisGene coexpression network analysisCoexpression network analysisGene expressionBiological processesAirway epithelial cell gene expressionEpithelial cell gene expressionNetwork of genesGene expression networksGene network modulesAsthma susceptibility lociT2 gene expressionCell gene expressionGene expression studiesNeuronal functionEpithelial growthMultiple molecular mechanismsExpression networksT2 genesGene networksUnderlying biological processesHub genesExpression studiesBiological insightsNetwork analysisExpression of RXFP1 Is Decreased in Idiopathic Pulmonary Fibrosis. Implications for Relaxin-based Therapies
Tan J, Tedrow JR, Dutta JA, Juan-Guardela B, Nouraie M, Chu Y, Trejo Bittar H, Ramani K, Biswas PS, Veraldi KL, Kaminski N, Zhang Y, Kass DJ. Expression of RXFP1 Is Decreased in Idiopathic Pulmonary Fibrosis. Implications for Relaxin-based Therapies. American Journal Of Respiratory And Critical Care Medicine 2016, 194: 1392-1402. PMID: 27310652, PMCID: PMC5148141, DOI: 10.1164/rccm.201509-1865oc.Peer-Reviewed Original ResearchConceptsRelaxin/insulin-like family peptide receptor 1Idiopathic pulmonary fibrosisIPF lung fibroblastsRXFP1 expressionLung fibroblastsPulmonary fibrosisFamily peptide receptor 1RXFP1 gene expressionLung Tissue Research ConsortiumPulmonary functionIPF lungsBleomycin injuryPotential therapyCollagen depositionFibrotic diseasesPatientsDemographic dataPotential efficacyReceptor 1Donor controlsTherapyRelaxin-like peptideGrowth factorGene expressionFibrosis