2021
Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children
Ramaswamy A, Brodsky NN, Sumida TS, Comi M, Asashima H, Hoehn KB, Li N, Liu Y, Shah A, Ravindra NG, Bishai J, Khan A, Lau W, Sellers B, Bansal N, Guerrerio P, Unterman A, Habet V, Rice AJ, Catanzaro J, Chandnani H, Lopez M, Kaminski N, Dela Cruz CS, Tsang JS, Wang Z, Yan X, Kleinstein SH, van Dijk D, Pierce RW, Hafler DA, Lucas CL. Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children. Immunity 2021, 54: 1083-1095.e7. PMID: 33891889, PMCID: PMC8043654, DOI: 10.1016/j.immuni.2021.04.003.Peer-Reviewed Original ResearchConceptsMIS-C patientsDisease severityInflammatory syndromeTCR repertoireSARS-CoV-2-associated multisystem inflammatory syndromeAsymptomatic SARS-CoV-2 infectionSARS-CoV-2 infectionAdult COVID-19Post-infectious complicationsMultisystem inflammatory syndromeCytotoxicity genesHealthy pediatricImmune dysregulationMemory TActive infectionMyeloid dysfunctionPatientsSingle-cell RNA sequencingFlow cytometrySerum proteomicsRepertoire analysisElevated expressionSeverityAlarminsCOVID-19Transcriptomics 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 responsesIntegrated Single-Cell Atlas of Endothelial Cells of the Human Lung
Schupp JC, Adams TS, Cosme C, Raredon MSB, Yuan Y, Omote N, Poli S, Chioccioli M, Rose KA, Manning EP, Sauler M, DeIuliis G, Ahangari F, Neumark N, Habermann AC, Gutierrez AJ, Bui LT, Lafyatis R, Pierce RW, Meyer KB, Nawijn MC, Teichmann SA, Banovich NE, Kropski JA, Niklason LE, Pe’er D, Yan X, Homer RJ, Rosas IO, Kaminski N. Integrated Single-Cell Atlas of Endothelial Cells of the Human Lung. Circulation 2021, 144: 286-302. PMID: 34030460, PMCID: PMC8300155, DOI: 10.1161/circulationaha.120.052318.Peer-Reviewed Original ResearchConceptsDifferential expression analysisPrimary lung endothelial cellsLung endothelial cellsCell typesMarker genesExpression analysisSingle-cell RNA sequencing dataCross-species analysisVenous endothelial cellsEndothelial marker genesSingle-cell atlasMarker gene setsRNA sequencing dataEndothelial cellsSubsequent differential expression analysisDifferent lung cell typesResident cell typesLung cell typesCellular diversityEndothelial cell typesCapillary endothelial cellsHuman lung endothelial cellsPhenotypic diversityEndothelial diversityIndistinguishable populationsMicroRNA miR-24-3p reduces DNA damage responses, apoptosis, and susceptibility to chronic obstructive pulmonary disease
Nouws J, Wan F, Finnemore E, Roque W, Kim SJ, Bazan IS, Li CX, Sköld C, Dai Q, Yan X, Chioccioli M, Neumeister V, Britto CJ, Sweasy J, Bindra RS, Wheelock ÅM, Gomez JL, Kaminski N, Lee PJ, Sauler M. MicroRNA miR-24-3p reduces DNA damage responses, apoptosis, and susceptibility to chronic obstructive pulmonary disease. JCI Insight 2021, 6: e134218. PMID: 33290275, PMCID: PMC7934877, DOI: 10.1172/jci.insight.134218.Peer-Reviewed Original ResearchConceptsCellular stress responseStress responseHomology-directed DNA repairDNA damage responseProtein BRCA1Damage responseCellular stressDNA repairProtein BimCOPD lung tissueLung epithelial cellsCellular responsesExpression arraysEpithelial cell apoptosisDNA damageChronic obstructive pulmonary diseaseBRCA1 expressionCell apoptosisApoptosisEpithelial cellsCritical mechanismMicroRNAsRegulatorObstructive pulmonary diseaseIncreases Susceptibility
2022
Single-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 interactionsLeveraging Cell-Specific Disease Signatures to Predict New Drug Therapies for Idiopathic Pulmonary Fibrosis
Adams T, Song Q, Justet A, Mcdonough J, DeIuliis G, Yan X, Bar-Joseph Z, Kaminski N. Leveraging Cell-Specific Disease Signatures to Predict New Drug Therapies for Idiopathic Pulmonary Fibrosis. 2022, a2318-a2318. DOI: 10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2318.Peer-Reviewed Original ResearchMetagenomic sequencing of the bronchoalveolar lavage extracellular virome and cellular transcriptome of sarcoidosis patients does not detect rubella virus
Keeler E, Vukmirovic M, Yan X, Gulino K, Ghedin E, Kaminski N, Sullivan K, Bushman F, Collman R, Rosenbach M. Metagenomic sequencing of the bronchoalveolar lavage extracellular virome and cellular transcriptome of sarcoidosis patients does not detect rubella virus. Sarcoidosis, Vasculitis, And Diffuse Lung Diseases 2022, 39: e2022040. PMID: 36533601, PMCID: PMC9798337, DOI: 10.36141/svdld.v39i4.13407.Peer-Reviewed Original ResearchSarcoidosis patientsRubella virusBronchoalveolar lavageMultisystem granulomatous inflammatory diseaseImmune-competent patientsRubella virus infectionGranulomatous inflammatory diseaseCutaneous sarcoidosisAntigenic triggerBAL cellsUnclear etiologyRubella virus genomeInflammatory diseasesCutaneous granulomasGranulomatous lesionsVirus infectionVirus gene expressionLung samplesAcellular fluidCompetent patientsPatientsSarcoidosisOverlapping featuresMetagenomic sequencingVirus
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 Analysis Reveals Novel Immune Perturbations in Fibrotic Hypersensitivity Pneumonitis.
Zhao A, Unterman A, Abu Hussein N, Sharma P, Nikola F, Flint J, Yan X, Adams T, Justet A, Sumida T, Zhao J, Schupp J, Raredon M, Ahangari F, Deluliis G, Zhang Y, Buendia-Roldan I, Adegunsoye A, Sperling A, Prasse A, Ryu C, Herzog E, Selman M, Pardo A, Kaminski N. Single-Cell Analysis Reveals Novel Immune Perturbations in Fibrotic Hypersensitivity Pneumonitis. American Journal Of Respiratory And Critical Care Medicine 2024, 210: 1252-1266. PMID: 38924775, PMCID: PMC11568434, DOI: 10.1164/rccm.202401-0078oc.Peer-Reviewed Original ResearchFibrotic hypersensitivity pneumonitisIdiopathic pulmonary fibrosisPeripheral blood mononuclear cellsBronchoalveolar lavage cellsBlood mononuclear cellsClassical monocytesHypersensitivity pneumonitisPulmonary fibrosisT cellsImmune perturbationsLavage cellsMononuclear cellsCD8+ T cellsCytotoxic T cellsInterstitial lung diseaseHypersensitivity pneumonitis patientsCytotoxic CD4Immune aberrationsPneumonic patientsPneumonitisLung diseaseHealthy controlsImmune mechanismsPatient cellsSingle-cell transcriptomicsSINGLE-CELL ANALYSIS OF SOMATIC MUTATIONS IN HUMAN LUNG REVEALS ASSOCIATION WITH TRANSCRIPTIONAL CHANGES IN AGING
De Man R, Adams T, McDonough J, Cala-Garcia J, Moss B, Yan X, Rosas I, Kaminski N. SINGLE-CELL ANALYSIS OF SOMATIC MUTATIONS IN HUMAN LUNG REVEALS ASSOCIATION WITH TRANSCRIPTIONAL CHANGES IN AGING. Innovation In Aging 2024, 8: 571-572. PMCID: PMC11690935, DOI: 10.1093/geroni/igae098.1872.Peer-Reviewed Original ResearchSomatic mutationsMutational burdenCell type annotationAlveolar type 1DNA damage response genesAnalysis of somatic mutationsSomatic mutation accumulationAccumulation of somatic mutationsCell typesUbiquitin ligase geneDamage response genesLoss of cell functionAnalyzed somatic mutationsDecreased expressionSingle-cell RNAseqLigase geneMutation accumulationTop genesSignaling genesCell marker genesResponse genesTranscriptional changesAlveolar type 1 cellsGenesMarker genesPredicting 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 ResearchsnRNAseq of IPF Stromal Cells Reveals Dysfunctional Gene Co-expression Profile
Sharma P, Taylor S A, Anderson S, Nekola F, Giuseppe D, Yan X, Schupp J, Balayev A, Justet A, Wuyts W, Vanaudenaerde B, Kaminski N. snRNAseq of IPF Stromal Cells Reveals Dysfunctional Gene Co-expression Profile. 2024, a4903-a4903. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4903.Peer-Reviewed Original ResearchIPF Aberrant Basaloid Cells Have Chromatin Accessibility Features Distinct From Other Lung Epithelial Cells
Adams T, Schupp J, Balayev A, Justet A, Sharma P, Anderson S, Nekola F, Deiuliis G, Yan X, Wuyts W, Vanaudenaerde B, Kaminski N. IPF Aberrant Basaloid Cells Have Chromatin Accessibility Features Distinct From Other Lung Epithelial Cells. 2024, a4898-a4898. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4898.Peer-Reviewed Original ResearchApplying Single Cell Profiling to Assess Drug Anti Fibrotic Properties in the Human Precision Cut Lung Slice Model of Fibrosis
Justet A, Mitash N, Pineda R, Adams T, Balayev A, Abu Hussein N, Ishizuka M, Kim H, Khoury J, Ahangari F, Yan X, Kaminski N, Koenigshoff M. Applying Single Cell Profiling to Assess Drug Anti Fibrotic Properties in the Human Precision Cut Lung Slice Model of Fibrosis. 2024, a4906-a4906. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4906.Peer-Reviewed Original Research
2023
iDESC: 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 ResearchSomatic Mutations: The Next Frontier in Demystifying Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis?
Yan X, Kaminski N. Somatic Mutations: The Next Frontier in Demystifying Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis? American Journal Of Respiratory And Critical Care Medicine 2023, 208: 1150-1151. PMID: 37856835, PMCID: PMC10868359, DOI: 10.1164/rccm.202310-1774ed.Peer-Reviewed Original ResearchCorrection: iDESC: 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. Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 394. PMID: 37858060, PMCID: PMC10588114, DOI: 10.1186/s12859-023-05523-6.Peer-Reviewed Original ResearchA novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy
Deng W, Li B, Wang J, Jiang W, Yan X, Li N, Vukmirovic M, Kaminski N, Wang J, Zhao H. A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy. Briefings In Bioinformatics 2023, 24: bbac616. PMID: 36631398, PMCID: PMC9851324, DOI: 10.1093/bib/bbac616.Peer-Reviewed Original Research
2020
Single-Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis.
Schupp JC, Khanal S, Gomez JL, Sauler M, Adams TS, Chupp GL, Yan X, Poli S, Zhao Y, Montgomery RR, Rosas IO, Dela Cruz CS, Bruscia EM, Egan ME, Kaminski N, Britto CJ. Single-Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2020, 202: 1419-1429. PMID: 32603604, PMCID: PMC7667912, DOI: 10.1164/rccm.202004-0991oc.Peer-Reviewed Original ResearchConceptsCF lung diseaseHealthy control subjectsImmune dysfunctionLung diseaseCystic fibrosisControl subjectsSputum cellsAbnormal chloride transportLung mononuclear phagocytesInnate immune dysfunctionDivergent clinical coursesImmune cell repertoireMonocyte-derived macrophagesCF monocytesAirway inflammationClinical courseProinflammatory featuresCell survival programInflammatory responseTissue injuryCell repertoireImmune functionTranscriptional profilesAlveolar macrophagesMononuclear phagocytesSingle-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis
Adams TS, Schupp JC, Poli S, Ayaub EA, Neumark N, Ahangari F, Chu SG, Raby BA, DeIuliis G, Januszyk M, Duan Q, Arnett HA, Siddiqui A, Washko GR, Homer R, Yan X, Rosas IO, Kaminski N. Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis. Science Advances 2020, 6: eaba1983. PMID: 32832599, PMCID: PMC7439502, DOI: 10.1126/sciadv.aba1983.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisVascular endothelial cellsIPF lungsPulmonary fibrosisChronic obstructive pulmonary disease (COPD) lungsFatal interstitial lung diseaseEndothelial cellsInterstitial lung diseaseCell populationsIPF myofibroblastsMyofibroblast fociNonsmoker controlsLung diseaseCOPD lungsBasaloid cellsSingle-cell atlasInvasive fibroblastsMacrophage populationsLungStromal cellsEpithelial cellsFibrosisCellular populationsDevelopmental markersSingle-cell RNA-seq
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