2025
Epigenetic age acceleration in idiopathic pulmonary fibrosis revealed by DNA methylation clocks
Kurbanov D, Ahangari F, Adams T, De Man R, Tang J, Carlon M, Abu Hussein N, Cortesi E, Zapata M, De Sadelaar L, Wuyts W, Vanaudenaerde B, Kaminski N, McDonough J. Epigenetic age acceleration in idiopathic pulmonary fibrosis revealed by DNA methylation clocks. American Journal Of Physiology - Lung Cellular And Molecular Physiology 2025, 328: l456-l462. PMID: 39970931, DOI: 10.1152/ajplung.00171.2024.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisIdiopathic pulmonary fibrosis tissuePulmonary fibrosisLung tissueEpigenetic clocksPotential of DNA methylationDNA methylation levelsDebilitating lung diseaseIllumina MethylationEPIC arrayHuman lung tissueEpigenetic ageDNA methylation clocksBiological ageAffected lung tissueIPF casesClinical prognosisMethylation patternsDNA methylationLung diseaseHealthy controlsAcceleration of biological agingMethylation levelsMethylationEPIC arrayAge accelerationClinical assessmentCD103+ dendritic cell — fibroblast crosstalk via TLR9, TDO2, and AHR signaling drives lung fibrogenesis
Carter H, Costa R, Adams T, Gilchrist T, Emch C, Bame M, Oldham J, Huang S, Linderholm A, Noth I, Kaminski N, Moore B, Gurczynski S. CD103+ dendritic cell — fibroblast crosstalk via TLR9, TDO2, and AHR signaling drives lung fibrogenesis. JCI Insight 2025, 10 PMID: 39964756, PMCID: PMC11949071, DOI: 10.1172/jci.insight.177072.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntigens, CDBasic Helix-Loop-Helix Transcription FactorsBleomycinDendritic CellsDisease Models, AnimalFibroblastsHumansIdiopathic Pulmonary FibrosisIntegrin alpha ChainsInterleukin-6LungMaleMiceMice, Inbred C57BLReceptors, Aryl HydrocarbonSignal TransductionToll-Like Receptor 9Tryptophan OxygenaseConceptsIdiopathic pulmonary fibrosisAhR signalingMice treated with BLMIL-17+ cellsCD103+ DCLoss of lung functionStudies of human samplesLimited treatment optionsTreated ex vivoProduction of IL-6Inflammatory cytokine productionExon 2 deletionExpression of TDO2IL-6 productionAdoptive transferCD11c-CreCD11c+ cellsImmunological changesPulmonary fibrosisTLR agonistsProgressive scarringTreatment optionsCytokine productionLung fibrogenesisAryl hydrocarbon receptor
2024
Predicting lung aging using scRNA-Seq data
Song Q, Singh A, McDonough J, Adams T, Vos R, De Man R, Myers G, Ceulemans L, Vanaudenaerde B, Wuyts W, Yan X, Schupp J, Hagood J, Kaminski N, Bar-Joseph Z. Predicting lung aging using scRNA-Seq data. PLOS Computational Biology 2024, 20: e1012632. PMID: 39700255, PMCID: PMC11741621, DOI: 10.1371/journal.pcbi.1012632.Peer-Reviewed Original ResearchSDePER: 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 ResearchNoninvasive assessment of the lung inflammation-fibrosis axis by targeted imaging of CMKLR1
Mannes P, Adams T, Farsijani S, Barnes C, Latoche J, Day K, Nedrow J, Ahangari F, Kaminski N, Lee J, Tavakoli S. Noninvasive assessment of the lung inflammation-fibrosis axis by targeted imaging of CMKLR1. Science Advances 2024, 10: eadm9817. PMID: 38896611, PMCID: PMC11186491, DOI: 10.1126/sciadv.adm9817.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisFibrotic lung diseaseRisk stratificationMurine modelLung fibrosisLung diseaseModel of bleomycin-induced lung fibrosisBleomycin-induced lung fibrosisImaging biomarkersMurine model of bleomycin-induced lung fibrosisBronchoalveolar lavage cellsMonocyte-derived macrophagesPositron emission tomographyInflammatory endotypesPulmonary fibrosisLavage cellsPoor survivalNoninvasive assessmentTherapeutic monitoringEmission tomographyCMKLR1FibrosisClinical trajectoryLungLung regionsSingle-cell transcriptomic analysis of human pleura reveals stromal heterogeneity and informs in vitro models of mesothelioma
Obacz J, Valer J, Nibhani R, Adams T, Schupp J, Veale N, Lewis-Wade A, Flint J, Hogan J, Aresu G, Coonar A, Peryt A, Biffi G, Kaminski N, Francies H, Rassl D, Garnett M, Rintoul R, Marciniak S. Single-cell transcriptomic analysis of human pleura reveals stromal heterogeneity and informs in vitro models of mesothelioma. European Respiratory Journal 2024, 63: 2300143. PMID: 38212075, PMCID: PMC10809128, DOI: 10.1183/13993003.00143-2023.Peer-Reviewed Original ResearchConceptsSingle-cell transcriptome atlasSingle-cell levelSingle-cell transcriptome analysisTranscriptome dataTranscriptomic atlasTranscriptomic characterisationMesothelial cellsCell atlasDevelopment of targeted therapiesMalignant mesothelial cellsModel of mesotheliomaUniversal fibroblastsIn vitro model
2023
Increased expression of CXCL6 in secretory cells drives fibroblast collagen synthesis and is associated with increased mortality in idiopathic pulmonary fibrosis
Bahudhanapati H, Tan J, Apel R, Seeliger B, Schupp J, Li X, Sullivan D, Sembrat J, Rojas M, Tabib T, Valenzi E, Lafyatis R, Mitash N, Pineda R, Jawale C, Peroumal D, Biswas P, Tedrow J, Adams T, Kaminski N, Wuyts W, McDyer J, Gibson K, Alder J, Königshoff M, Zhang Y, Nouraie M, Prasse A, Kass D. Increased expression of CXCL6 in secretory cells drives fibroblast collagen synthesis and is associated with increased mortality in idiopathic pulmonary fibrosis. European Respiratory Journal 2023, 63: 2300088. PMID: 37918852, DOI: 10.1183/13993003.00088-2023.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisAirway epithelial cellsBronchoalveolar lavagePulmonary fibrosisEpithelial cellsCollagen synthesisPathogenesis of IPFCohort of patientsIPF lung fibroblastsEffects of chemokinesAir-liquid interface culturesExpression of CXCL6Collagen I levelsIPF mortalityIPF patientsChemokine levelsIPF fibroblastsPoor survivalDistal lungI levelsWhole lungAnimal modelsEctopic localisationPatientsSingle-cell RNA sequencingiDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects
Liu Y, Zhao J, Adams T, Wang N, Schupp J, Wu W, McDonough J, Chupp G, Kaminski N, Wang Z, Yan X. iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 318. PMID: 37608264, PMCID: PMC10463720, DOI: 10.1186/s12859-023-05432-8.Peer-Reviewed Original ResearchVISTA (PD-1H) Is a Crucial Immune Regulator to Limit Pulmonary Fibrosis.
Kim S, Adams T, Hu Q, Shin H, Chae G, Lee S, Sharma L, Kwon H, Lee F, Park H, Huh W, Manning E, Kaminski N, Sauler M, Chen L, Song J, Kim T, Kang M. VISTA (PD-1H) Is a Crucial Immune Regulator to Limit Pulmonary Fibrosis. American Journal Of Respiratory Cell And Molecular Biology 2023, 69: 22-33. PMID: 36450109, PMCID: PMC10324045, DOI: 10.1165/rcmb.2022-0219oc.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPulmonary fibrosisImmune regulatorsTherapeutic potentialHuman idiopathic pulmonary fibrosisCrucial immune regulatorsNovel immune regulatorPulmonary fibrosis micePulmonary fibrosis modelNovel therapeutic targetRole of VISTAWild-type littermatesMonocyte-derived macrophagesT lymphocyte lineageVISTA expressionIPF treatmentAntibody treatmentImmune landscapeFibrotic mediatorsLung fibrosisFibrosis miceInflammatory responseFibrosis modelMyeloid populationsTherapeutic targetmicroRNA-33 deficiency in macrophages enhances autophagy, improves mitochondrial homeostasis, and protects against lung fibrosis
Ahangari F, Price N, Malik S, Chioccioli M, Bärnthaler T, Adams T, Kim J, Pradeep S, Ding S, Cosme C, Rose K, McDonough J, Aurelien N, Ibarra G, Omote N, Schupp J, DeIuliis G, Nunez J, Sharma L, Ryu C, Dela Cruz C, Liu X, Prasse A, Rosas I, Bahal R, Fernandez-Hernando C, Kaminski N. microRNA-33 deficiency in macrophages enhances autophagy, improves mitochondrial homeostasis, and protects against lung fibrosis. JCI Insight 2023, 8: e158100. PMID: 36626225, PMCID: PMC9977502, DOI: 10.1172/jci.insight.158100.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPulmonary fibrosisMiR-33MiR-33 levelsSpecific genetic ablationBronchoalveolar lavage cellsNovel therapeutic approachesMitochondrial homeostasisFatty acid metabolismMacrophages protectsBleomycin injuryLavage cellsLung fibrosisHealthy controlsInflammatory responseTherapeutic approachesImmunometabolic responsesCholesterol effluxFibrosisFatal diseasePharmacological inhibitionSterol regulatory element-binding protein (SREBP) genesGenetic ablationMacrophagesEx vivo mouse
2022
Single-cell RNA-seq uncovers cellular heterogeneity and provides a signature for paediatric sleep apnoea.
Cortese R, Adams T, Cataldo K, Hummel J, Kaminski N, Kheirandish-Gozal L, Gozal D. Single-cell RNA-seq uncovers cellular heterogeneity and provides a signature for paediatric sleep apnoea. European Respiratory Journal 2022, 61: 2201465. PMID: 36356973, DOI: 10.1183/13993003.01465-2022.Peer-Reviewed Original ResearchConceptsObstructive sleep apnoeaSleep apnoeaImpact of OSASystemic immune functionMononuclear cell compositionMolecular signaturesCell-specific markersSystemic inflammationCardiovascular dysfunctionImmune cellsImmune functionSingle-cell transcriptomic analysisPaediatric sleep apnoeaUndescribed cell typePrevalent diseaseMajor causeCellular compositionApnoeaCell compositionRNA expression datasetsDiagnostic settingCell typesCell lineagesMolecular diagnostic settingScRNA-seqLung Cell Atlases in Health and Disease
Adams T, Marlier A, Kaminski N. Lung Cell Atlases in Health and Disease. Annual Review Of Physiology 2022, 85: 47-69. PMID: 36351366, DOI: 10.1146/annurev-physiol-032922-082826.Peer-Reviewed Original ResearchConceptsCell atlasesSingle-cell profiling technologiesLung biologyProfiling technologiesCell typesCellular morphologyProgressive lung diseaseCellular measurementsHuman lung biologyGas exchangeLung diseaseComplex branching structuresRecent advancesDiseaseIndividual markersBiologyBranching structureUnprecedented levelHealthStructural changesIntegrative 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 analysisAirway basal cells show a dedifferentiated KRT17highPhenotype and promote fibrosis in idiopathic pulmonary fibrosis
Jaeger B, Schupp JC, Plappert L, Terwolbeck O, Artysh N, Kayser G, Engelhard P, Adams TS, Zweigerdt R, Kempf H, Lienenklaus S, Garrels W, Nazarenko I, Jonigk D, Wygrecka M, Klatt D, Schambach A, Kaminski N, Prasse A. Airway basal cells show a dedifferentiated KRT17highPhenotype and promote fibrosis in idiopathic pulmonary fibrosis. Nature Communications 2022, 13: 5637. PMID: 36163190, PMCID: PMC9513076, DOI: 10.1038/s41467-022-33193-0.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisAirway basal cellsPulmonary fibrosisNovel mouse xenograft modelEffect of saracatinibBasal cellsLimited treatment optionsMouse xenograft modelLung developmental processesConnectivity Map analysisExtracellular matrix depositionIPF lungsBronchial brushSevere fibrosisTreatment optionsBronchial brushingsNRG miceHealthy volunteersXenograft modelCyst-like structuresProfibrotic changesAlveolar compartmentFatal diseaseFibrosisPotent Src inhibitorCD38 Mediates Lung Fibrosis by Promoting Alveolar Epithelial Cell Aging.
Cui H, Xie N, Banerjee S, Dey T, Liu RM, Antony VB, Sanders YY, Adams TS, Gomez JL, Thannickal VJ, Kaminski N, Liu G. CD38 Mediates Lung Fibrosis by Promoting Alveolar Epithelial Cell Aging. American Journal Of Respiratory And Critical Care Medicine 2022, 206: 459-475. PMID: 35687485, DOI: 10.1164/rccm.202109-2151oc.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisLung fibrosisCD38 expressionAlveolar epithelial cell injuryEpithelial cell injuryEffective therapeutic strategyHuman lung parenchymaIPF lungsLung functionPulmonary fibrosisDisease progressionFibrotic lungsReal-time PCRYoung miceLung parenchymaOld miceCell injuryTherapeutic strategiesFibrosisPharmacological inactivationCD38Single-cell RNA sequencingFlow cytometryWestern blottingOld animalsCharacterization of the COPD alveolar niche using single-cell RNA sequencing
Sauler M, McDonough JE, Adams TS, Kothapalli N, Barnthaler T, Werder RB, Schupp JC, Nouws J, Robertson MJ, Coarfa C, Yang T, Chioccioli M, Omote N, Cosme C, Poli S, Ayaub EA, Chu SG, Jensen KH, Gomez JL, Britto CJ, Raredon MSB, Niklason LE, Wilson AA, Timshel PN, Kaminski N, Rosas IO. Characterization of the COPD alveolar niche using single-cell RNA sequencing. Nature Communications 2022, 13: 494. PMID: 35078977, PMCID: PMC8789871, DOI: 10.1038/s41467-022-28062-9.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingRNA sequencingCell-specific mechanismsChronic obstructive pulmonary diseaseAdvanced chronic obstructive pulmonary diseaseTranscriptomic network analysisSingle-cell RNA sequencing profilesCellular stress toleranceAberrant cellular metabolismStress toleranceRNA sequencing profilesTranscriptional evidenceCellular metabolismAlveolar nicheSequencing profilesHuman alveolar epithelial cellsChemokine signalingAlveolar epithelial type II cellsObstructive pulmonary diseaseSitu hybridizationType II cellsEpithelial type II cellsSequencingCOPD pathobiologyHuman lung tissue samples
2021
Distinct roles of KLF4 in mesenchymal cell subtypes during lung fibrogenesis
Chandran RR, Xie Y, Gallardo-Vara E, Adams T, Garcia-Milian R, Kabir I, Sheikh AQ, Kaminski N, Martin KA, Herzog EL, Greif DM. Distinct roles of KLF4 in mesenchymal cell subtypes during lung fibrogenesis. Nature Communications 2021, 12: 7179. PMID: 34893592, PMCID: PMC8664937, DOI: 10.1038/s41467-021-27499-8.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCell ProliferationDisease Models, AnimalDown-RegulationExtracellular MatrixFemaleFibroblastsFibrosisHumansKruppel-Like Factor 4LungLung InjuryMaleMesenchymal Stem CellsMiceMice, Inbred C57BLMyofibroblastsReceptor, Platelet-Derived Growth Factor betaRespiratory Tract DiseasesSignal TransductionTransforming Growth Factor betaConceptsMesenchymal cell typesPlatelet-derived growth factor receptorSmooth muscle actinLung fibrosisKruppel-like factor 4Forkhead box M1Growth factor receptorCell transitionCell typesExtracellular matrixDistinct rolesKLF4Box M1C chemokine ligandMesenchymal cell subtypesFactor receptorPro-fibrotic effectsFactor 4PDGFRMesenchymeCellsMacrophage accumulationKLF4 levelsChemokine ligandLung fibrogenesisA Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Li H, Zhu B, Xu Z, Adams T, Kaminski N, Zhao H. A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data. BMC Bioinformatics 2021, 22: 524. PMID: 34702190, PMCID: PMC8549347, DOI: 10.1186/s12859-021-04412-0.Peer-Reviewed Original ResearchConceptsMarkov random field modelRandom field modelMean field-like approximationField modelSpecific DEGsExpectation maximizationSingle-cell sequencing technologiesProtein-coding genesRNA sequencing data setsSingle-cell RNA-seq dataCell-type levelCell typesGibbs samplerSingle-cell RNA sequencing data setsCell-cell networksDifferential expression analysisRNA-seq dataGene network informationStatistical powerType I error ratesDifferent expression levelsMRF modelI error rateModel parametersBiological networksChronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severity
Bui LT, Winters NI, Chung MI, Joseph C, Gutierrez AJ, Habermann AC, Adams TS, Schupp JC, Poli S, Peter LM, Taylor CJ, Blackburn JB, Richmond BW, Nicholson AG, Rassl D, Wallace WA, Rosas IO, Jenkins RG, Kaminski N, Kropski JA, Banovich NE. Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severity. Nature Communications 2021, 12: 4314. PMID: 34262047, PMCID: PMC8280215, DOI: 10.1038/s41467-021-24467-0.Peer-Reviewed Original ResearchConceptsChronic lung diseaseLung diseaseImmune responseSARS-CoV-2 entry factorsSevere coronavirus disease-19SARS-CoV-2 infectionWorse COVID-19 outcomesSARS-CoV-2 entryAdaptive immune responsesCoronavirus disease-19COVID-19 outcomesInnate immune responseInflammatory gene expression programSimilar cellular distributionPoor outcomePeripheral lungViral exposureDisease-19Inflammatory microenvironmentEntry factorsLung epitheliumLung cellsViral replicationAT2 cellsBasal differencesTranscriptomics 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
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