2023
Prior cycles of anti-CD20 antibodies affect antibody responses after repeated SARS-CoV-2 mRNA vaccination
Asashima H, Kim D, Wang K, Lele N, Buitrago-Pocasangre N, Lutz R, Cruz I, Raddassi K, Ruff W, Racke M, Wilson J, Givens T, Grifoni A, Weiskopf D, Sette A, Kleinstein S, Montgomery R, Shaw A, Li F, Fan R, Hafler D, Tomayko M, Longbrake E. Prior cycles of anti-CD20 antibodies affect antibody responses after repeated SARS-CoV-2 mRNA vaccination. JCI Insight 2023, 8: e168102. PMID: 37606046, PMCID: PMC10543713, DOI: 10.1172/jci.insight.168102.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 mRNA vaccinationB-cell-depleted patientsB-cell depletionAntibody responseMRNA vaccinationThird doseCell depletionT cellsClaude D. Pepper Older Americans Independence CenterB cellsNational Multiple Sclerosis SocietyAnti-CD20 antibodySpike-specific antibodiesMultiple Sclerosis SocietyLow cumulative exposureLogistic regression modelsImportant clinical needCD20 therapyCD20 treatmentMost patientsThird vaccineSerologic responseVaccine dosesMRNA vaccinesVaccination strategies
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
2021
Single cell immunophenotyping of the skin lesion erythema migrans Identifies IgM memory B cells
Jiang R, Meng H, Raddassi K, Fleming I, Hoehn KB, Dardick KR, Belperron AA, Montgomery RR, Shalek AK, Hafler DA, Kleinstein SH, Bockenstedt LK. Single cell immunophenotyping of the skin lesion erythema migrans Identifies IgM memory B cells. JCI Insight 2021, 6: e148035. PMID: 34061047, PMCID: PMC8262471, DOI: 10.1172/jci.insight.148035.Peer-Reviewed Original ResearchConceptsMemory B cellsErythema migransB cellsEM lesionsIgM memory B cellsLyme diseaseB-cell receptor sequencingSkin infection siteCell receptor sequencingEarly Lyme diseaseLocal antigen presentationSkin immune responsesB cell populationsSingle-cell immunophenotypingMHC class II genesUninvolved skinImmune cellsSpirochetal infectionAntigen presentationCell immunophenotypingT cellsImmune responseIsotype usageAntibody productionInitial signsComputational models of Immunity – Pertussis Boost (CMI-PB): Engaging the broader scientific community to develop predictive models of Tdap booster vaccination.
Soldevila F, Shinde P, Kojima M, Overton J, Ha B, Greenbaum J, Ay F, Kleinstein S, Grant B, Peters B. Computational models of Immunity – Pertussis Boost (CMI-PB): Engaging the broader scientific community to develop predictive models of Tdap booster vaccination. The Journal Of Immunology 2021, 206: 59.22-59.22. DOI: 10.4049/jimmunol.206.supp.59.22.Peer-Reviewed Original Research
2020
CD4+ follicular regulatory T cells optimize the influenza virus–specific B cell response
Lu Y, Jiang R, Freyn AW, Wang J, Strohmeier S, Lederer K, Locci M, Zhao H, Angeletti D, O’Connor K, Kleinstein SH, Nachbagauer R, Craft J. CD4+ follicular regulatory T cells optimize the influenza virus–specific B cell response. Journal Of Experimental Medicine 2020, 218: e20200547. PMID: 33326020, PMCID: PMC7748821, DOI: 10.1084/jem.20200547.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibody FormationAntigensB-LymphocytesCD4 AntigensDisease Models, AnimalEpitopesForkhead Transcription FactorsGerminal CenterHumansImmunityImmunologic MemoryInfluenza, HumanInfluenzavirus BIntegrasesMice, Inbred C57BLOrthomyxoviridae InfectionsReceptors, Antigen, B-CellSpecies SpecificityT-Lymphocytes, RegulatoryVaccinationConceptsB cell responsesGerminal center B cell responsesFollicular regulatory T cellsRegulatory T cellsTfr cellsCell responsesT cellsViral challengeHumoral memoryVirus-specific B cell responsesAntigen-specific B cell responsesFollicular helper T cellsHA stalk regionHelper T cellsInfluenza virus infectionGerminal center developmentAntibody responsePlasma cellsVirus infectionImmunization modelAntibody productionBCR repertoireInfluenza virusRepeated exposureInfluenza virus glycoproteins
2019
Migrant memory B cells secrete luminal antibody in the vagina
Oh JE, Iijima N, Song E, Lu P, Klein J, Jiang R, Kleinstein SH, Iwasaki A. Migrant memory B cells secrete luminal antibody in the vagina. Nature 2019, 571: 122-126. PMID: 31189952, PMCID: PMC6609483, DOI: 10.1038/s41586-019-1285-1.Peer-Reviewed Original ResearchConceptsMemory B cellsFemale reproductive tractB cellsPlasma cellsReproductive tractCD4 tissue-resident memory T cellsTissue-resident memory T cellsLower female reproductive tractHerpes simplex virus 2Genital herpes infectionMemory T cellsExpression of chemokinesSimplex virus 2CXCR3-dependent mannerLocal plasma cellsLuminal antibodyMucosal antibodiesHerpes infectionPrimary infectionMucosal barrierSecondary challengeVariety of pathogensT cellsLamina propriaInducible source
2017
Interleukin-10 from CD4+ follicular regulatory T cells promotes the germinal center response
Laidlaw BJ, Lu Y, Amezquita RA, Weinstein JS, Vander Heiden JA, Gupta NT, Kleinstein SH, Kaech SM, Craft J. Interleukin-10 from CD4+ follicular regulatory T cells promotes the germinal center response. Science Immunology 2017, 2 PMID: 29054998, PMCID: PMC5846620, DOI: 10.1126/sciimmunol.aan4767.Peer-Reviewed Original ResearchConceptsFollicular regulatory T cellsRegulatory T cellsIL-10Lymphocytic choriomeningitis virusT cellsB cellsInterleukin-10GC responseCell-derived IL-10Follicular helper T cellsHelper T cellsB cell responsesGerminal center responseGerminal center developmentActivated B cellsBox protein 1GC B cellsAcute infectionCenter responseCell responsesImportant mediatorNuclear translocationGC reactionProtein 1Forkhead box protein 1
2016
Characterization of Diabetogenic CD8+ T Cells IMMUNE THERAPY WITH METABOLIC BLOCKADE*
Garyu JW, Uduman M, Stewart A, Rui J, Deng S, Shenson J, Staron MM, Kaech SM, Kleinstein SH, Herold KC. Characterization of Diabetogenic CD8+ T Cells IMMUNE THERAPY WITH METABOLIC BLOCKADE*. Journal Of Biological Chemistry 2016, 291: 11230-11240. PMID: 26994137, PMCID: PMC4900270, DOI: 10.1074/jbc.m115.713362.Peer-Reviewed Original ResearchConceptsPrediabetic NOD miceNOD miceT cellsDiabetogenic CD8Reactive cellsMemory precursor effector cellsType 1 diabetes mellitusΒ-cellsGlucose tolerance deterioratesAutoreactive T cellsHyperglycemic NOD miceInsulin-producing β-cellsAutoimmune effectorsAutoimmune diabetesReactive CD8Glucose intoleranceDiabetes mellitusEffector cellsImmune therapyMetabolic disturbancesTolerance deterioratesDisease progressionInsulin pelletsSubset of cellsConventional antigensAutoreactive T Cells from Patients with Myasthenia Gravis Are Characterized by Elevated IL-17, IFN-γ, and GM-CSF and Diminished IL-10 Production
Cao Y, Amezquita RA, Kleinstein SH, Stathopoulos P, Nowak RJ, O'Connor KC. Autoreactive T Cells from Patients with Myasthenia Gravis Are Characterized by Elevated IL-17, IFN-γ, and GM-CSF and Diminished IL-10 Production. The Journal Of Immunology 2016, 196: 2075-2084. PMID: 26826242, PMCID: PMC4761502, DOI: 10.4049/jimmunol.1501339.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAutoimmunityCD4-Positive T-LymphocytesCell SeparationCytokinesEnzyme-Linked Immunosorbent AssayFemaleGranulocyte-Macrophage Colony-Stimulating FactorHumansInterferon-gammaInterleukin-10Interleukin-17MaleMiddle AgedMyasthenia GravisPhenotypePolymerase Chain ReactionT-Lymphocyte SubsetsConceptsAutoreactive T cellsT cell compartmentHealthy control subjectsMyasthenia gravisT cellsMG patientsIL-17Control subjectsT cell librariesB cellsGM-CSFMemory T cell compartmentElevated IL-17Prototypical autoimmune diseaseIL-10 productionMemory T cellsCell compartmentIL-10 expressionB cell compartmentPathogenic phenotypeMG cohortPathogenic autoantibodiesAutoimmune responseClinical manifestationsProinflammatory phenotype
2015
Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses
Ho PC, Bihuniak JD, Macintyre AN, Staron M, Liu X, Amezquita R, Tsui YC, Cui G, Micevic G, Perales JC, Kleinstein SH, Abel ED, Insogna KL, Feske S, Locasale JW, Bosenberg MW, Rathmell JC, Kaech SM. Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses. Cell 2015, 162: 1217-1228. PMID: 26321681, PMCID: PMC4567953, DOI: 10.1016/j.cell.2015.08.012.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCalciumCD4-Positive T-LymphocytesEndoplasmic ReticulumGlycolysisHexokinaseImmunotherapyLymphocytes, Tumor-InfiltratingMelanomaMiceMonitoring, ImmunologicNFATC Transcription FactorsPhosphoenolpyruvateReceptors, Antigen, T-CellSarcoplasmic Reticulum Calcium-Transporting ATPasesSignal TransductionTransforming Growth Factor betaTumor MicroenvironmentConceptsAnti-tumor T cell responsesT cell responsesT cellsEffector functionsCell responsesTumor-reactive T cellsTumor-infiltrating T cellsPhosphoenolpyruvate carboxykinase 1Tumoricidal effector functionsTumor-specific CD4CD8 T cellsT cell activityMelanoma-bearing miceAerobic glycolysisActivated T cellsMetabolic checkpointTumor growthCell activityTumor microenvironmentNFAT SignalingMetabolic reprogrammingCarboxykinase 1Anabolic metabolismCellsATPase activityProduction of IL-10 by CD4+ regulatory T cells during the resolution of infection promotes the maturation of memory CD8+ T cells
Laidlaw BJ, Cui W, Amezquita RA, Gray SM, Guan T, Lu Y, Kobayashi Y, Flavell RA, Kleinstein SH, Craft J, Kaech SM. Production of IL-10 by CD4+ regulatory T cells during the resolution of infection promotes the maturation of memory CD8+ T cells. Nature Immunology 2015, 16: 871-879. PMID: 26147684, PMCID: PMC4713030, DOI: 10.1038/ni.3224.Peer-Reviewed Original ResearchMeSH KeywordsAdoptive TransferAnimalsCD8-Positive T-LymphocytesDendritic CellsFlow CytometryGene Expression ProfilingHost-Pathogen InteractionsImmunologic MemoryInflammationInterleukin-10Lymphocytic ChoriomeningitisLymphocytic choriomeningitis virusMice, Inbred C57BLMice, KnockoutReverse Transcriptase Polymerase Chain ReactionT-Lymphocytes, Regulatory
2014
TLR4 Ligands Lipopolysaccharide and Monophosphoryl Lipid A Differentially Regulate Effector and Memory CD8+ T Cell Differentiation
Cui W, Joshi NS, Liu Y, Meng H, Kleinstein SH, Kaech SM. TLR4 Ligands Lipopolysaccharide and Monophosphoryl Lipid A Differentially Regulate Effector and Memory CD8+ T Cell Differentiation. The Journal Of Immunology 2014, 192: 4221-4232. PMID: 24659688, PMCID: PMC4071140, DOI: 10.4049/jimmunol.1302569.Peer-Reviewed Original ResearchConceptsT cell differentiationT cellsEffector cellsTLR ligandsToll/IL-1R domain-containing adapterClonal expansionMore memory T cellsMemory T cellsT cell memoryEffector cell expansionTLR4 ligand LPSMonophosphoryl lipid ARole of adjuvantsTLR4 ligand lipopolysaccharideCell differentiationGene expression signaturesMemory CD8LPS-TLR4TLR4 ligandMonophosphoryl lipidLigand LPSLigand lipopolysaccharideAb productionSecondary infectionCell memory
2013
The immune cell infiltrate populating meningiomas is composed of mature, antigen-experienced T and B cells
Fang L, Lowther DE, Meizlish ML, Anderson RC, Bruce JN, Devine L, Huttner AJ, Kleinstein SH, Lee JY, Stern JN, Yaari G, Lovato L, Cronk KM, O'Connor KC. The immune cell infiltrate populating meningiomas is composed of mature, antigen-experienced T and B cells. Neuro-Oncology 2013, 15: 1479-1490. PMID: 23978377, PMCID: PMC3813416, DOI: 10.1093/neuonc/not110.Peer-Reviewed Original ResearchConceptsTumor-infiltrating B cellsImmune cell infiltratesT cell repertoireCell infiltrateB cellsT cellsCell repertoireAntigen experienceImmune checkpoint molecules PD-1Memory/effector T cellsCheckpoint molecules PD-1Antigen-driven B cell responsesEffector T cell populationsTumor microenvironmentT-cell infiltratesRegulatory T cellsEffector T cellsT-cell phenotypeT cell populationsB cell responsesPeripheral blood lymphocytesAntigen-experienced CD4Cell populationsB cell populationsB cell repertoireAntigen-specific, antibody-coated, exosome-like nanovesicles deliver suppressor T-cell microRNA-150 to effector T cells to inhibit contact sensitivity
Bryniarski K, Ptak W, Jayakumar A, Püllmann K, Caplan MJ, Chairoungdua A, Lu J, Adams BD, Sikora E, Nazimek K, Marquez S, Kleinstein SH, Sangwung P, Iwakiri Y, Delgato E, Redegeld F, Blokhuis BR, Wojcikowski J, Daniel AW, Kormelink T, Askenase PW. Antigen-specific, antibody-coated, exosome-like nanovesicles deliver suppressor T-cell microRNA-150 to effector T cells to inhibit contact sensitivity. Journal Of Allergy And Clinical Immunology 2013, 132: 170-181.e9. PMID: 23727037, PMCID: PMC4176620, DOI: 10.1016/j.jaci.2013.04.048.Peer-Reviewed Original ResearchConceptsCutaneous contact sensitivityEffector T cellsT cell toleranceT cellsExosome-like nanovesiclesContact sensitivityCS-effector T cellsMiRNA-150Regulatory T cellsAntigen-specific mannerSuppressor T cellsRole of antibodiesAdoptive cell transfer modelCell transfer modelT cell regulationLight chainSuppressor cellsLymph nodesReactive haptenImmune suppressionMicroRNA-150Systemic injectionAntibody light chainIntravenous injectionSpleen cells
2011
Cell subset prediction for blood genomic studies
Bolen CR, Uduman M, Kleinstein SH. Cell subset prediction for blood genomic studies. BMC Bioinformatics 2011, 12: 258. PMID: 21702940, PMCID: PMC3213685, DOI: 10.1186/1471-2105-12-258.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsTotal peripheral blood mononuclear cellsGene signatureSubset-specific genesBlood mononuclear cellsPatient blood samplesPersonalized treatment decisionsSpecific cell subsetsHCV patientsPBMC subsetsNK cellsStandard therapyCell subsetsMononuclear cellsT cellsTreatment decisionsTherapy responseBlood samplesB cellsMyeloid cellsCellular sourceTranscriptional profilingDisease mechanismsGene expression profilesCellsInter-follicular germinal center B cell and T follicular helper cell development precedes follicular Tfh maintenance (63.23)
Kerfoot S, Yaari G, Patel J, Johnson K, Gonzalez D, Kleinstein S, Haberman A. Inter-follicular germinal center B cell and T follicular helper cell development precedes follicular Tfh maintenance (63.23). The Journal Of Immunology 2011, 186: 63.23-63.23. DOI: 10.4049/jimmunol.186.supp.63.23.Peer-Reviewed Original ResearchGerminal center B cellsB cellsPD-1T cellsT-cell immigrationFollicular helper cell developmentTfh cell differentiationCognate B cellsDays post immunizationSuch B cellsB cell entryTfh cellsTFH phenotypeInterfollicular zonesPost immunizationGerminal centersBCL-6GL7 expressionCell immigrationLong-term maintenanceCell entryCell developmentFolliclesCell typesCells