2022
Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study
Ozonoff A, Schaenman J, Jayavelu ND, Milliren CE, Calfee CS, Cairns CB, Kraft M, Baden LR, Shaw AC, Krammer F, van Bakel H, Esserman DA, Liu S, Sesma AF, Simon V, Hafler DA, Montgomery RR, Kleinstein SH, Levy O, Bime C, Haddad EK, Erle DJ, Pulendran B, Nadeau KC, Davis MM, Hough CL, Messer WB, Higuita NIA, Metcalf JP, Atkinson MA, Brakenridge SC, Corry D, Kheradmand F, Ehrlich LIR, Melamed E, McComsey GA, Sekaly R, Diray-Arce J, Peters B, Augustine AD, Reed EF, Altman MC, Becker PM, Rouphael N, Ozonoff A, Schaenman J, Jayavelu N, Milliren C, Calfee C, Cairns C, Kraft M, Baden L, Shaw A, Krammer F, van Bakel H, Esserman D, Liu S, Sesma A, Simon V, Hafler D, Montgomery R, Kleinstein S, Levy O, Bime C, Haddad E, Erle D, Pulendran B, Nadeau K, Davis M, Hough C, Messer W, Higuita N, Metcalf J, Atkinson M, Brakenridge S, Corry D, Kheradmand F, Ehrlich L, Melamed E, McComsey G, Sekaly R, Diray-Arce J, Peters B, Augustine A, Reed E, McEnaney K, Barton B, Lentucci C, Saluvan M, Chang A, Hoch A, Albert M, Shaheen T, Kho A, Thomas S, Chen J, Murphy M, Cooney M, Presnell S, Fragiadakis G, Patel R, Guan L, Gygi J, Pawar S, Brito A, Khalil Z, Maguire C, Fourati S, Overton J, Vita R, Westendorf K, Salehi-Rad R, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Langelier C, Woodruff P, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Mosier J, Kimura H, Sherman A, Walsh S, Issa N, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Siegel S, Lu Z, Drevets D, Brown B, Anderson M, Guirgis F, Thyagarajan R, Rousseau J, Wylie D, Busch J, Gandhi S, Triplett T, Yendewa G, Giddings O, Anderson E, Mehta A, Sevransky J, Khor B, Rahman A, Stadlbauer D, Dutta J, Xie H, Kim-Schulze S, Gonzalez-Reiche A, van de Guchte A, Farrugia K, Khan Z, Maecker H, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, Fragiadakis G, Ghale R, Gonzalez A, Jauregui A, Jones N, Lea T, Lee D, Lota R, Milush J, Nguyen V, Pierce L, Prasad P, Rao A, Samad B, Shaw C, Sigman A, Sinha P, Ward A, Willmore A, Zhan J, Rashid S, Rodriguez N, Tang K, Altamirano L, Betancourt L, Curiel C, Sutter N, Paz M, Tietje-Ulrich G, Leroux C, Connors J, Bernui M, Kutzler M, Edwards C, Lee E, Lin E, Croen B, Semenza N, Rogowski B, Melnyk N, Woloszczuk K, Cusimano G, Bell M, Furukawa S, McLin R, Marrero P, Sheidy J, Tegos G, Nagle C, Mege N, Ulring K, Seyfert-Margolis V, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T, Smolen K, Desjardins M, van Haren S, Mitre X, Cauley J, Li X, Tong A, Evans B, Montesano C, Licona J, Krauss J, Chang J, Izaguirre N, Chaudhary O, Coppi A, Fournier J, Mohanty S, Muenker M, Nelson A, Raddassi K, Rainone M, Ruff W, Salahuddin S, Schulz W, Vijayakumar P, Wang H, Wunder E, Young H, Zhao Y, Saksena M, Altman D, Kojic E, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Mulder L, Kleiner G, Lee A, Do Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Booth J, Sinko L, Moldawer L, Borresen B, Roth-Manning B, Song L, Nelson E, Lewis-Smith M, Smith J, Tipan P, Siles N, Bazzi S, Geltman J, Hurley K, Gabriele G, Sieg S, Vaysman T, Bristow L, Hussaini L, Hellmeister K, Samaha H, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Ribeiro S, Altman M, Becker P, Rouphael N. Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study. EBioMedicine 2022, 83: 104208. PMID: 35952496, PMCID: PMC9359694, DOI: 10.1016/j.ebiom.2022.104208.Peer-Reviewed Original ResearchConceptsRisk factorsRadiographic findingsFemale sexDisease severityHospitalized COVID-19 patientsSARS-CoV-2 antibodiesSARS-CoV-2 PCRLong COVID-19Presence of infiltratesInvasive mechanical ventilationCharacteristics of patientsOnly female sexViral load levelsClinical laboratory valuesCOVID-19 cohortMultivariable logistic regressionCOVID-19 patientsCoronavirus disease 2019PCR cycle thresholdCOVID-19Baseline creatinineBaseline lymphopeniaMedian ageOverall mortalityProlonged hospitalization
2021
Circulating clonally expanded T cells reflect functions of tumor-infiltrating T cells
Lucca LE, Axisa PP, Lu B, Harnett B, Jessel S, Zhang L, Raddassi K, Zhang L, Olino K, Clune J, Singer M, Kluger HM, Hafler DA. Circulating clonally expanded T cells reflect functions of tumor-infiltrating T cells. Journal Of Experimental Medicine 2021, 218: e20200921. PMID: 33651881, PMCID: PMC7933991, DOI: 10.1084/jem.20200921.Peer-Reviewed Original ResearchConceptsTumor-infiltrating T cellsT cellsUnique transcriptional patternsFeatures of exhaustionLongitudinal immune monitoringPeripheral immune environmentsT cell responsesT cell functionSingle-cell levelTranscriptional patternsTCR sharingTerminal exhaustionImmune environmentImmune monitoringCancer immunotherapyMetastatic melanomaEffector functionsCell responsesTumor tissueGene signatureTumorsCell functionImmunotherapyTCRαβBlood
2016
Linking Genotype to Clinical Phenotype in Multiple Sclerosis: In Search of the Holy Grail
Longbrake EE, Hafler DA. Linking Genotype to Clinical Phenotype in Multiple Sclerosis: In Search of the Holy Grail. JAMA Neurology 2016, 73: 777-8. PMID: 27244583, PMCID: PMC5198230, DOI: 10.1001/jamaneurol.2016.1227.Peer-Reviewed Original ResearchAKT isoforms modulate Th1‐like Treg generation and function in human autoimmune disease
Kitz A, de Marcken M, Gautron AS, Mitrovic M, Hafler DA, Dominguez-Villar M. AKT isoforms modulate Th1‐like Treg generation and function in human autoimmune disease. EMBO Reports 2016, 17: 1169-1183. PMID: 27312110, PMCID: PMC4967959, DOI: 10.15252/embr.201541905.Peer-Reviewed Original ResearchMeSH KeywordsAutoimmune DiseasesBiomarkersCell DifferentiationCytokinesForkhead Transcription FactorsGene Expression ProfilingGene SilencingHumansImmunomodulationInterferon-gammaPhenotypePhosphatidylinositol 3-KinasesProtein IsoformsProto-Oncogene Proteins c-aktSignal TransductionT-Lymphocyte SubsetsT-Lymphocytes, RegulatoryTranscriptomeConceptsAutoimmune diseasesIFNγ secretionHuman TregsGenome-wide gene expression approachUntreated relapsing-remitting MS patientsRelapsing-remitting MS patientsImmune suppressive functionHuman autoimmune diseasesT helper 1Inflammatory cytokines IFNγTreg suppressor functionNovel treatment paradigmEffector phenotypeMS patientsTreg generationCytokines IFNγHelper 1Multiple sclerosisTreatment paradigmSuppressive functionTregsVivo modelDiseaseSecretionSuppressor function
2014
Decreased RORC-dependent silencing of prostaglandin receptor EP2 induces autoimmune Th17 cells
Kofler DM, Marson A, Dominguez-Villar M, Xiao S, Kuchroo VK, Hafler DA. Decreased RORC-dependent silencing of prostaglandin receptor EP2 induces autoimmune Th17 cells. Journal Of Clinical Investigation 2014, 124: 2513-2522. PMID: 24812667, PMCID: PMC4089462, DOI: 10.1172/jci72973.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnimalsAutoimmunityCase-Control StudiesDinoprostoneDown-RegulationFemaleGene Knockdown TechniquesGene SilencingHumansMaleMiceMice, Inbred C57BLMice, KnockoutMiddle AgedModels, ImmunologicalMultiple SclerosisNuclear Receptor Subfamily 1, Group F, Member 3PhenotypePromoter Regions, GeneticReceptors, Prostaglandin E, EP2 SubtypeSignal TransductionTh17 CellsConceptsTh17 cell phenotypeProstaglandin receptor EP2Receptor EP2Healthy individualsOverexpression of EP2Transcription factor RORCT cell subsetsEffects of PGE2Cell phenotypeExpression of IFNInflammatory gene transcriptionPGE2-dependent pathwayTh17 cellsWT miceAutoimmune diseasesCell subsetsHealthy subjectsEP2 expressionGM-CSFEP2RORCCD4Cell typesCellsGene transcription
2013
Sodium chloride drives autoimmune disease by the induction of pathogenic TH17 cells
Kleinewietfeld M, Manzel A, Titze J, Kvakan H, Yosef N, Linker RA, Muller DN, Hafler DA. Sodium chloride drives autoimmune disease by the induction of pathogenic TH17 cells. Nature 2013, 496: 518-522. PMID: 23467095, PMCID: PMC3746493, DOI: 10.1038/nature11868.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCells, CulturedEncephalomyelitis, Autoimmune, ExperimentalGene SilencingGranulocyte-Macrophage Colony-Stimulating FactorHumansImmediate-Early ProteinsInterleukin-2MAP Kinase Signaling SystemMiceMice, Inbred C57BLP38 Mitogen-Activated Protein KinasesPhenotypeProtein Serine-Threonine KinasesSodium Chloride, DietaryTh17 CellsTranscription FactorsTumor Necrosis Factor-alpha
2011
The CD6 Multiple Sclerosis Susceptibility Allele Is Associated with Alterations in CD4+ T Cell Proliferation
Kofler DM, Severson CA, Mousissian N, De Jager PL, Hafler DA. The CD6 Multiple Sclerosis Susceptibility Allele Is Associated with Alterations in CD4+ T Cell Proliferation. The Journal Of Immunology 2011, 187: 3286-3291. PMID: 21849685, DOI: 10.4049/jimmunol.1100626.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAntigens, CDAntigens, Differentiation, T-LymphocyteCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell ProliferationCell SeparationCells, CulturedFemaleFlow CytometryGenetic Predisposition to DiseaseGenotypeHumansMaleMultiple SclerosisPhenotypeReverse Transcriptase Polymerase Chain ReactionRisk FactorsRNA, Small InterferingConceptsGenome-wide association studiesAssociation studiesAllelic variantsNew susceptibility lociSusceptibility allelesRisk allelesProliferation defectExon 5Risk-associated allelesSingle nucleotide polymorphismsExtracellular binding sitesCD6 geneSusceptibility lociLinkage disequilibriumMS risk alleleSelective knockdownT cell activationNucleotide polymorphismsAltered proliferationCell proliferationGenetic associationAllelesLong-term activationBinding sitesMS susceptibility allelesPervasive Sharing of Genetic Effects in Autoimmune Disease
Cotsapas C, Voight BF, Rossin E, Lage K, Neale BM, Wallace C, Abecasis GR, Barrett JC, Behrens T, Cho J, De Jager PL, Elder JT, Graham RR, Gregersen P, Klareskog L, Siminovitch KA, van Heel DA, Wijmenga C, Worthington J, Todd JA, Hafler DA, Rich SS, Daly MJ, . Pervasive Sharing of Genetic Effects in Autoimmune Disease. PLOS Genetics 2011, 7: e1002254. PMID: 21852963, PMCID: PMC3154137, DOI: 10.1371/journal.pgen.1002254.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsSystemic lupus erythematosusImmune-mediated diseasesType 1 diabetesGenetic risk factorsMajor histocompatibility locusCommon autoimmuneCommon single nucleotide polymorphismsLupus erythematosusCrohn's diseaseRheumatoid arthritisClinical evidenceMultiple sclerosisAutoimmune diseasesRisk single nucleotide polymorphismsCeliac diseaseInflammatory diseasesRisk factorsMeta-AnalysisDisease riskDiseaseHistocompatibility locusUnderlying mechanismGenetic associationNucleotide polymorphisms
2010
FOXP3+ regulatory T cells in the human immune system
Sakaguchi S, Miyara M, Costantino CM, Hafler DA. FOXP3+ regulatory T cells in the human immune system. Nature Reviews Immunology 2010, 10: 490-500. PMID: 20559327, DOI: 10.1038/nri2785.Peer-Reviewed Original ResearchConceptsForkhead box P3Human Treg cellsTreg cellsT cellsKey PointsRegulatory T (TReg) cellsTreg cell-based therapyAntitumour immune responseRegulatory T cellsExpression of CD45RAPromising therapeutic perspectiveHuman immune systemAutoimmune pathogenesisDominant toleranceBox P3HLA-DRCell-based therapiesAutoimmune diseasesImmune homeostasisImmune responseImmune diseasesSuppressive functionPotent mediatorCancer growthImmune systemTherapeutic perspectives
2009
De novo copy number variants identify new genes and loci in isolated sporadic tetralogy of Fallot
Greenway SC, Pereira AC, Lin JC, DePalma SR, Israel SJ, Mesquita SM, Ergul E, Conta JH, Korn JM, McCarroll SA, Gorham JM, Gabriel S, Altshuler DM, de Lourdes Quintanilla-Dieck M, Artunduaga MA, Eavey RD, Plenge RM, Shadick NA, Weinblatt ME, De Jager PL, Hafler DA, Breitbart RE, Seidman JG, Seidman CE. De novo copy number variants identify new genes and loci in isolated sporadic tetralogy of Fallot. Nature Genetics 2009, 41: 931-935. PMID: 19597493, PMCID: PMC2747103, DOI: 10.1038/ng.415.Peer-Reviewed Original ResearchAutomated high-dimensional flow cytometric data analysis
Pyne S, Hu X, Wang K, Rossin E, Lin TI, Maier LM, Baecher-Allan C, McLachlan GJ, Tamayo P, Hafler DA, De Jager PL, Mesirov JP. Automated high-dimensional flow cytometric data analysis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2009, 106: 8519-8524. PMID: 19443687, PMCID: PMC2682540, DOI: 10.1073/pnas.0903028106.Peer-Reviewed Original Research
2008
Genetic Analysis of Human Traits In Vitro: Drug Response and Gene Expression in Lymphoblastoid Cell Lines
Choy E, Yelensky R, Bonakdar S, Plenge RM, Saxena R, De Jager PL, Shaw SY, Wolfish CS, Slavik JM, Cotsapas C, Rivas M, Dermitzakis ET, Cahir-McFarland E, Kieff E, Hafler D, Daly MJ, Altshuler D. Genetic Analysis of Human Traits In Vitro: Drug Response and Gene Expression in Lymphoblastoid Cell Lines. PLOS Genetics 2008, 4: e1000287. PMID: 19043577, PMCID: PMC2583954, DOI: 10.1371/journal.pgen.1000287.Peer-Reviewed Original ResearchConceptsLymphoblastoid cell linesBiological noiseGenome-wide significanceInternational HapMap ProjectDrug responseCell linesGenotype-phenotype relationshipsIndividual mRNAsEQTL SNPsGenetic analysisGene expressionHapMap projectHuman cellsHuman traitsNon-genetic factorsQTLMetabolic stateModel systemGenesMRNA levelsBaseline growth ratesSpurious associationsGrowth ratePharmacogenetic experimentsEQTLs
2007
Allelic variant in CTLA4 alters T cell phosphorylation patterns
Maier LM, Anderson DE, De Jager PL, Wicker LS, Hafler DA. Allelic variant in CTLA4 alters T cell phosphorylation patterns. Proceedings Of The National Academy Of Sciences Of The United States Of America 2007, 104: 18607-18612. PMID: 18000051, PMCID: PMC2141824, DOI: 10.1073/pnas.0706409104.Peer-Reviewed Original ResearchConceptsT cell antigen receptorAllelic variationMemory T cellsAutoimmune diseasesCell antigen receptorT cell signalingT cellsFunctional effectsDisease susceptibility allelesCell signalingPhosphorylation patternPhosphorylation levelsSusceptibility variantsTCR stimulationAllelic variantsHuman immune cellsAntigen receptorGenesImmune cellsHealthy individualsCTLA4 geneCellsSpecific mAbsCTLA4Disease
2006
Comprehensive Phenotyping in Multiple Sclerosis: Discovery Based Proteomics and the Current Understanding of Putative Biomarkers
O’Connor K, Roy SM, Becker CH, Hafler DA, Kantor AB. Comprehensive Phenotyping in Multiple Sclerosis: Discovery Based Proteomics and the Current Understanding of Putative Biomarkers. Disease Markers 2006, 22: 213-225. PMID: 17124343, PMCID: PMC3851054, DOI: 10.1155/2006/670439.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMultiple sclerosisMagnetic resonance imagingPutative biomarkersComprehensive phenotypingMonitoring of progressionComponent expression levelsClinical evaluationCSF proteinAccurate biomarkersCerebrospinal fluid chemistryControl groupTherapeutic interventionsPatient careAccurate diagnosisResonance imagingDisease pathologyFurther evaluationBiomarkersPreliminary dataExpression levelsSclerosisDiagnosisCSFSingle testNovel assessment
2004
Disease‐related epitope spread in a humanized T cell receptor transgenic model of multiple sclerosis
Ellmerich S, Takacs K, Mycko M, Waldner H, Wahid F, Boyton RJ, Smith PA, Amor S, Baker D, Hafler DA, Kuchroo VK, Altmann DM. Disease‐related epitope spread in a humanized T cell receptor transgenic model of multiple sclerosis. European Journal Of Immunology 2004, 34: 1839-1848. PMID: 15214032, DOI: 10.1002/eji.200324044.Peer-Reviewed Original ResearchConceptsHLA-DR15Multiple sclerosisTransgenic modelT cell receptor transgenic modelHLA class II moleculesHuman T cell clonesInduction of paralysisPoverty of movementHLA class IIT cell clonesClass II moleculesHuman TCR specificMBP 85Specific immunotherapyTCR specificMyelin epitopesT cellsIFN-gammaRodent modelsDiseaseCell clonesEpitopesDisease phenotypeSclerosisImmunization
1999
Heterophile antibodies segregate in families and are associated with protection from type 1 diabetes
She J, Ellis T, Wilson S, Wasserfall C, Marron M, Reimsneider S, Kent S, Hafler D, Neuberg D, Muir A, Strominger J, Atkinson M. Heterophile antibodies segregate in families and are associated with protection from type 1 diabetes. Proceedings Of The National Academy Of Sciences Of The United States Of America 1999, 96: 8116-8119. PMID: 10393957, PMCID: PMC22197, DOI: 10.1073/pnas.96.14.8116.Peer-Reviewed Original ResearchDirect analysis of viral-specific CD8+ T cells with soluble HLA-A2/Tax11-19 tetramer complexes in patients with human T cell lymphotropic virus-associated myelopathy.
Bieganowska K, Höllsberg P, Buckle G, Lim D, Greten T, Schneck J, Altman J, Jacobson S, Ledis S, Hanchard B, Chin J, Morgan O, Roth P, Hafler D. Direct analysis of viral-specific CD8+ T cells with soluble HLA-A2/Tax11-19 tetramer complexes in patients with human T cell lymphotropic virus-associated myelopathy. The Journal Of Immunology 1999, 162: 1765-71. PMID: 9973440, DOI: 10.4049/jimmunol.162.3.1765.Peer-Reviewed Original ResearchMeSH KeywordsAdultB7-1 AntigenCD28 AntigensCD8-Positive T-LymphocytesFemaleGene Products, taxHLA-A2 AntigenHuman T-lymphotropic virus 1HumansLymphocyte ActivationMaleMiddle AgedParaparesis, Tropical SpasticPeptide FragmentsPhenotypeProtein ConformationReceptors, Antigen, T-Cell, alpha-betaReceptors, ChemokineReceptors, Interleukin-2SolubilityConceptsT cellsIL-2RMHC class I tetramersHuman T-cell lymphotropic virusViral-specific CD8Class I tetramersProgressive neurologic diseaseDifferent chemokine receptorsHLA-A2 alleleCentral nervous systemTCR Vbeta chainsReactive CD8TCR usageInflammatory infiltrateVbeta chainsChemokine receptorsNeurologic diseaseImmune responseCD8Lymphotropic virusMyelopathyNervous systemPatientsHTLVClonal expansion
1997
Variable Immortalizing Potential and Frequent Virus Latency in Blood-Derived T-Cell Clones Infected With Human T-Cell Leukemia Virus Type I
Richardson JH, Höllsberg P, Windhagen A, Child LA, Hafler DA, Lever A. Variable Immortalizing Potential and Frequent Virus Latency in Blood-Derived T-Cell Clones Infected With Human T-Cell Leukemia Virus Type I. Blood 1997, 89: 3303-3314. PMID: 9129036, DOI: 10.1182/blood.v89.9.3303.Peer-Reviewed Original ResearchConceptsT cell clonesHuman T-cell leukemia virus type IVirus type IT cellsSpontaneous proliferationFresh peripheral blood lymphocytesGag p24 productionCD4 T cellsInfected cellsPeripheral blood lymphocytesHTLV-I provirusViral mRNA expressionType IP24 productionVirus-cell interactionsIL-6Virus carriersInterleukin-6Blood lymphocytesHost cell factorsCytokine mRNAVirus latencyVirus-producing clonesHTLVMRNA expression
1991
Common T‐cell receptor Vβ usage in oligoclonal T lymphocytes derived from cerebrospinal fluid and blood of patients with multiple sclerosis
Lee S, Wucherpfennig K, Brod S, Benjamin D, Weiner H, Hafler D. Common T‐cell receptor Vβ usage in oligoclonal T lymphocytes derived from cerebrospinal fluid and blood of patients with multiple sclerosis. Annals Of Neurology 1991, 29: 33-40. PMID: 1847614, DOI: 10.1002/ana.410290109.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedBase SequenceBlotting, SouthernChild, PreschoolClone CellsDNA ProbesFemaleGene Rearrangement, beta-Chain T-Cell Antigen ReceptorGene Rearrangement, gamma-Chain T-Cell Antigen ReceptorHumansMaleMiddle AgedMolecular Sequence DataMultiple SclerosisPhenotypePolymerase Chain ReactionT-LymphocytesConceptsT cell populationsT cell clonesCerebrospinal fluidMultiple sclerosisT cellsT cell receptor Vβ usageNeurological diseasesOligoclonal T-cell populationsT cell receptor V beta genesOligoclonal T lymphocytesOligoclonal T cellsSame T cell receptorBlood of patientsNormal control subjectsT cell receptor beta chainProgenitor T cellsT cell receptorIndividual T cellsGamma chain geneImmune compartmentVβ usageControl subjectsReceptor beta chainT lymphocytesPatients
1989
Sequestration of virus-specific T cells in the cerebrospinal fluid of a patient with varicella zoster viral meningoencephalitis
Duby A, Weiner H, Benjamin D, Seidman JG, Hafler D. Sequestration of virus-specific T cells in the cerebrospinal fluid of a patient with varicella zoster viral meningoencephalitis. Journal Of Neuroimmunology 1989, 22: 63-68. PMID: 2465314, DOI: 10.1016/0165-5728(89)90010-6.Peer-Reviewed Original ResearchConceptsT cell clonesVirus-specific T cellsT cellsCerebrospinal fluidViral meningoencephalitisImmune responseViral infectionHerpes zoster viral infectionAntigen-specific T cellsT-cell receptor beta-chain gene rearrangementBeta-chain gene rearrangementsT cell responsesPatient's cerebrospinal fluidSecondary immune responseT-cell antigen receptor beta-chain geneBeta-chain geneMyelin basic proteinVZV meningoencephalitisMumps virusMeningoencephalitisPatientsClonal expansionGene rearrangementsBlot analysisInfection