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 interactions
2017
Multiparameter Single Cell Profiling of Airway Inflammatory Cells
Yao Y, Welp T, Liu Q, Niu N, Wang X, Britto CJ, Krishnaswamy S, Chupp G, Montgomery RR. Multiparameter Single Cell Profiling of Airway Inflammatory Cells. Cytometry Part B Clinical Cytometry 2017, 92: 12-20. PMID: 27807928, PMCID: PMC5250532, DOI: 10.1002/cyto.b.21491.Peer-Reviewed Original ResearchConceptsSingle-cell methodsComplex trait diseasesSubgroup of asthmaticsSingle-cell analysisMultiparameter single cell analysisMillions of patientsTranscriptional analysisImmunologic underpinningsInduced sputumAirway diseaseAsthmatic patientsAirway samplesCell subsetsImmune statusFunctional statusClinical severityDistinct biologic mechanismsTreatment successPhysiologic manifestationsBiologic mechanismsCystic fibrosisCellular analysisPatientsCytometry studiesU.S. population
2014
CyTOF supports efficient detection of immune cell subsets from small samples
Yao Y, Liu R, Shin MS, Trentalange M, Allore H, Nassar A, Kang I, Pober JS, Montgomery RR. CyTOF supports efficient detection of immune cell subsets from small samples. Journal Of Immunological Methods 2014, 415: 1-5. PMID: 25450003, PMCID: PMC4269324, DOI: 10.1016/j.jim.2014.10.010.Peer-Reviewed Original ResearchConceptsImmune cell subsetsCell subsetsImmune cell statesPatient biopsiesTranslational investigationsFlow cytometryClinical researchCellular analysisMass cytometryMultiple cell populationsCell populationsCytometryCyTOFSingle-cell analysisMultiparameter single cell analysisFluorescence cytometryFluorescence-based flow cytometryCell statesHuman diseasesMarkersTremendous detailBiopsyPathogenesis