2022
Transcriptional atlas of the human immune response to 13 vaccines reveals a common predictor of vaccine-induced antibody responses
Hagan T, Gerritsen B, Tomalin LE, Fourati S, Mulè MP, Chawla DG, Rychkov D, Henrich E, Miller HER, Diray-Arce J, Dunn P, Lee A, Levy O, Gottardo R, Sarwal M, Tsang J, Suárez-Fariñas M, Sékaly R, Kleinstein S, Pulendran B. Transcriptional atlas of the human immune response to 13 vaccines reveals a common predictor of vaccine-induced antibody responses. Nature Immunology 2022, 23: 1788-1798. PMID: 36316475, PMCID: PMC9869360, DOI: 10.1038/s41590-022-01328-6.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntibodies, ViralAntibody FormationGene Expression ProfilingHumansImmunity, InnateVaccinationVaccinesConceptsAntibody responseDay 1Vaccine-induced antibodiesYellow fever vaccineHuman immune responseMechanisms of immunityB cell activationTranscriptional atlasFever vaccineDifferent vaccinesSystems vaccinologyImmune responseMost vaccinesDay 7Cell activationInnate immunityVaccineVaccinationImmunityCommon predictorsMolecular signaturesResponsePlasmablastsInterferonAntibodiesSingle-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
Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study
, , Rouphael N, Maecker H, Montgomery R, Diray-Arce J, Kleinstein S, Altman M, Bosinger S, Eckalbar W, Guan L, Hough C, Krammer F, Langelier C, Levy O, McEnaney K, Peters B, Rahman A, Rajan J, Sigelman S, Steen H, van Bakel H, Ward A, Wilson M, Woodruff P, Zamecnik C, Augustine A, Ozonoff A, Reed E, Becker P, Higuita N, Altman M, Atkinson M, Baden L, Becker P, Bime C, Brakenridge S, Calfee C, Cairns C, Corry D, Davis M, Augustine A, Ehrlich L, Haddad E, Erle D, Fernandez-Sesma A, Hafler D, Hough C, Kheradmand F, Kleinstein S, Kraft M, Levy O, McComsey G, Melamed E, Messer W, Metcalf J, Montgomery R, Nadeau K, Ozonoff A, Peters B, Pulendran B, Reed E, Rouphael N, Sarwal M, Schaenman J, Sekaly R, Shaw A, Simon V. Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study. Science Immunology 2021, 6: eabf3733. PMID: 34376480, PMCID: PMC8713959, DOI: 10.1126/sciimmunol.abf3733.Peer-Reviewed Original ResearchConceptsCOVID-19 cohortProspective longitudinal studyHost immune responseLongitudinal studyCOVID-19Identification of biomarkersHospitalized patientsRespiratory secretionsClinical criteriaDisease progressionImmune responseRadiographic dataImmunologic assaysEffective therapeuticsOptimal timingStudy designBiologic samplingSuch interventionsCohortSeveritySample collectionAssay protocolsPatients
2020
Seasonal Variability and Shared Molecular Signatures of Inactivated Influenza Vaccination in Young and Older Adults
Avey S, Mohanty S, Chawla DG, Meng H, Bandaranayake T, Ueda I, Zapata HJ, Park K, Blevins TP, Tsang S, Belshe RB, Kaech SM, Shaw AC, Kleinstein SH. Seasonal Variability and Shared Molecular Signatures of Inactivated Influenza Vaccination in Young and Older Adults. The Journal Of Immunology 2020, 204: 1661-1673. PMID: 32060136, PMCID: PMC7755271, DOI: 10.4049/jimmunol.1900922.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAgingAntibodies, ViralCohort StudiesFemaleGene Expression ProfilingHemagglutination Inhibition TestsHumansImmunogenicity, VaccineInfluenza A virusInfluenza VaccinesInfluenza, HumanMaleNK Cell Lectin-Like Receptor Subfamily BOligonucleotide Array Sequence AnalysisSeasonsTranscriptomeVaccinationVaccines, InactivatedYoung AdultConceptsVaccine-induced Ab responsesOlder adultsInfluenza vaccinationDays postvaccinationInfluenza vaccineAb responsesMore effective influenza vaccinesImportant public health toolInactivated influenza vaccinationSeasonal influenza vaccineVaccine-induced immunityEffective influenza vaccinesMolecular signaturesEffects of immunosenescencePublic health toolImmune signaturesVaccination seasonVaccine responsesVaccine compositionSubset of individualsAge groupsHealth toolsSingle age groupAdultsPostvaccination
2019
Gene set meta-analysis with Quantitative Set Analysis for Gene Expression (QuSAGE)
Meng H, Yaari G, Bolen CR, Avey S, Kleinstein SH. Gene set meta-analysis with Quantitative Set Analysis for Gene Expression (QuSAGE). PLOS Computational Biology 2019, 15: e1006899. PMID: 30939133, PMCID: PMC6461294, DOI: 10.1371/journal.pcbi.1006899.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyGene ExpressionGene Expression ProfilingHumansInfluenza, HumanProbabilitySoftwareVaccination
2016
Recurrent genetic defects in classical Hodgkin lymphoma cell lines
Hudnall SD, Meng H, Lozovatsky L, Li P, Strout M, Kleinstein SH. Recurrent genetic defects in classical Hodgkin lymphoma cell lines. Leukemia & Lymphoma 2016, 57: 2890-2900. PMID: 27121023, DOI: 10.1080/10428194.2016.1177179.Peer-Reviewed Original ResearchConceptsMitosis-related genesSingle nucleotide variantsCHL cell linesCell linesRecurrent genetic defectsPathogenic single nucleotide variantsHL cell linesMitotic genesChromosome duplicationClassical Hodgkin lymphoma cell linesGenomic instabilityGenetic analysisWhole-exome sequencingNucleotide variantsGenesHodgkin's lymphoma cell linesLymphoma cell linesNumber variantsKaryotypic analysisGenetic defectsWealth of informationPoor growthVariantsDuplicationLines
2015
Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism
Thakar J, Hartmann BM, Marjanovic N, Sealfon SC, Kleinstein SH. Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism. BMC Immunology 2015, 16: 46. PMID: 26272204, PMCID: PMC4536893, DOI: 10.1186/s12865-015-0107-y.Peer-Reviewed Original ResearchConceptsTranscription factor activityImmune antagonismExpression profilesGenome-wide expression profilesGenome-wide transcriptional profiling dataFactor activityGenome-wide transcriptional profilesTranscription factor SATB1DNA-binding sitesTranscriptional profiling dataHost-pathogen interactionsGene expression profilesISGF3 activityTranscriptional responseTranscription factorsTranscriptional profilesHost interactionsProfiling dataApplication of betaNovel effectMechanistic insightsInfected cellsInfluenza A virusesMechanistic differencesNewcastle disease virusHuman Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses
Hartmann BM, Thakar J, Albrecht RA, Avey S, Zaslavsky E, Marjanovic N, Chikina M, Fribourg M, Hayot F, Schmolke M, Meng H, Wetmur J, García-Sastre A, Kleinstein SH, Sealfon SC. Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses. Journal Of Virology 2015, 89: 10190-10205. PMID: 26223639, PMCID: PMC4580178, DOI: 10.1128/jvi.01523-15.Peer-Reviewed Original ResearchMeSH KeywordsAntigenic VariationDendritic CellsEuropeGene Expression ProfilingGene Expression RegulationHistory, 20th CenturyHistory, 21st CenturyHost-Pathogen InteractionsHumansInfluenza A Virus, H1N1 SubtypeInfluenza Pandemic, 1918-1919Influenza, HumanInterferonsMolecular EpidemiologyNF-kappa BPandemicsReassortant VirusesRecombination, GeneticSeasonsSignal TransductionTime FactorsUnited StatesConceptsHuman dendritic cellsDendritic cellsImmune responseInfluenza virusSeasonal strainsNF-κBSeasonal H1N1 influenza virusHuman influenza virus infectionH1N1 influenza strainInterferon-stimulated gene responseSeasonal influenza virusesInfluenza virus infectionH1N1 influenza virusStrain-dependent differencesClinical severityVirus infectionInfluenza strainsAntiviral programViral infectionPandemic strainsHost responseAntigenic driftInfectionH postinfectionSelective inductionProduction 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, RegulatoryAging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination
Thakar J, Mohanty S, West AP, Joshi SR, Ueda I, Wilson J, Meng H, Blevins TP, Tsang S, Trentalange M, Siconolfi B, Park K, Gill TM, Belshe RB, Kaech SM, Shadel GS, Kleinstein SH, Shaw AC. Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination. Aging 2015, 7: 38-51. PMID: 25596819, PMCID: PMC4356402, DOI: 10.18632/aging.100720.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overAgingCells, CulturedDNA, MitochondrialFemaleGene Expression ProfilingGene Expression RegulationGenome-Wide Association StudyHumansInfluenza VaccinesInfluenza, HumanLeukocytes, MononuclearMaleMitochondriaMitochondrial TurnoverOligonucleotide Array Sequence AnalysisOxidative PhosphorylationSeasonsTime FactorsTreatment OutcomeVaccinationYoung AdultConceptsPlasma cell signatureDay 2Influenza vaccinationDay 7Cell signatureOlder adultsInfluenza vaccine responsesAdults meeting criteriaType I interferon responseAge-associated impairmentAge-dependent alterationsI interferon responseMitochondrial biogenesisResponse signatureVaccine seasonVaccine respondersFrail subjectsInfluenza vaccineVaccine responsesVaccine responsivenessGene expression microarray analysisAbsent responseYounger respondersDay 28Meeting criteria
2014
Systems Immunology Reveals Markers of Susceptibility to West Nile Virus Infection
Qian F, Goel G, Meng H, Wang X, You F, Devine L, Raddassi K, Garcia MN, Murray KO, Bolen CR, Gaujoux R, Shen-Orr SS, Hafler D, Fikrig E, Xavier R, Kleinstein SH, Montgomery RR. Systems Immunology Reveals Markers of Susceptibility to West Nile Virus Infection. MSphere 2014, 22: 6-16. PMID: 25355795, PMCID: PMC4278927, DOI: 10.1128/cvi.00508-14.Peer-Reviewed Original ResearchConceptsWest Nile virus infectionVirus infectionMyeloid dendritic cellsMarker of susceptibilityPotential therapeutic strategySeverity of infectionSevere neurological diseaseOlder patientsAcute infectionDendritic cellsCXCL10 expressionDetectable yearsImmunity-related genesStratified cohortWNV infectionTherapeutic strategiesPathogenic mechanismsAnimal studiesNeurological diseasesDisease severityVivo infectionPredictive signatureInfectionProminent alterationsPrimary cellsDynamic expression profiling of type I and type III interferon‐stimulated hepatocytes reveals a stable hierarchy of gene expression
Bolen CR, Ding S, Robek MD, Kleinstein SH. Dynamic expression profiling of type I and type III interferon‐stimulated hepatocytes reveals a stable hierarchy of gene expression. Hepatology 2014, 59: 1262-1272. PMID: 23929627, PMCID: PMC3938553, DOI: 10.1002/hep.26657.Peer-Reviewed Original ResearchConceptsGene expressionExpression profilingIndividual interferonMicroarray-based gene expression profilingDynamic expression profilingGene expression profilingSimilar signaling cascadesPotential specific rolesPromoter analysisTranscriptional responseHuh7 hepatoma cellsGene inductionExpression hierarchySignaling cascadesIFN-α signalingAntiviral stateNegative feedback mechanismType IPrimary human hepatocytesHepatoma cellsISG inductionSpecific roleGenesInterferon-stimulated gene inductionSuperior clinical activity
2013
Quantitative set analysis for gene expression: a method to quantify gene set differential expression including gene-gene correlations
Yaari G, Bolen CR, Thakar J, Kleinstein SH. Quantitative set analysis for gene expression: a method to quantify gene set differential expression including gene-gene correlations. Nucleic Acids Research 2013, 41: e170-e170. PMID: 23921631, PMCID: PMC3794608, DOI: 10.1093/nar/gkt660.Peer-Reviewed Original ResearchConfidence IntervalsData Interpretation, StatisticalGene Expression ProfilingGenesHumansInfluenza, Human
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 ResearchMeSH KeywordsComputational BiologyGene Expression ProfilingHepatitis C, ChronicHumansLeukocytes, MononuclearPolymorphism, Single NucleotideConceptsPeripheral 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 profilesCellsAltered Folate Availability Modifies the Molecular Environment of the Human Colorectum: Implications for Colorectal Carcinogenesis
Protiva P, Mason JB, Liu Z, Hopkins ME, Nelson C, Marshall JR, Lambrecht RW, Pendyala S, Kopelovich L, Kim M, Kleinstein SH, Laird PW, Lipkin M, Holt PR. Altered Folate Availability Modifies the Molecular Environment of the Human Colorectum: Implications for Colorectal Carcinogenesis. Cancer Prevention Research 2011, 4: 530-543. PMID: 21321062, PMCID: PMC3742550, DOI: 10.1158/1940-6207.capr-10-0143.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiological AvailabilityCell Transformation, NeoplasticColonColorectal NeoplasmsDietary SupplementsDNA BreaksDNA MethylationFemaleFolic AcidFolic Acid DeficiencyGene ExpressionGene Expression ProfilingHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticRectumReverse Transcriptase Polymerase Chain ReactionTumor Suppressor Protein p53ConceptsFolate supplementationFolate deliveryFolate depletionImmune responseColorectal carcinogenesisDNA strand breaksHuman colonColorectal cancer riskFolic acidSupplemental folic acidLow-folate dietLow folate statusImmune response pathwaysImmune-related pathwaysFirst studyRectosigmoid biopsiesRisk volunteersPrimary endpointGene array analysisPromoter-specific DNA methylationRepletion protocolFolate dietFolate levelsSecond studyFolate statusGene Expression Gradients along the Tonotopic Axis of the Chicken Auditory Epithelium
Frucht CS, Uduman M, Kleinstein SH, Santos-Sacchi J, Navaratnam DS. Gene Expression Gradients along the Tonotopic Axis of the Chicken Auditory Epithelium. Journal Of The Association For Research In Otolaryngology 2011, 12: 423-435. PMID: 21399991, PMCID: PMC3123449, DOI: 10.1007/s10162-011-0259-2.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAnimals, NewbornCalcium ChannelsChickensCyclic AMP-Dependent Protein KinasesGene Expression ProfilingGene Expression Regulation, DevelopmentalHair Cells, AuditoryLarge-Conductance Calcium-Activated Potassium Channel alpha SubunitsMicroRNAsModels, AnimalOrgan of CortiProtein Kinase CSodium ChannelsConceptsGene expression gradientsAuditory epitheliumKinases protein kinase CChicken auditory epitheliumExpression gradientsAvian auditory epitheliumBasilar papillaFold-change cutoffActivity of kinasesIon channel genesProtein kinase CChicken basilar papillaGene setsGenetic basisEnrichment analysisExpression patternsGene expressionGeneSpring softwareChannel genesMechanism of inductionKinase CGenesMicroarray dataDifferential activityQuantitative PCR
2010
Lambda and alpha interferons inhibit hepatitis B virus replication through a common molecular mechanism but with different in vivo activities
Pagliaccetti NE, Chu EN, Bolen CR, Kleinstein SH, Robek MD. Lambda and alpha interferons inhibit hepatitis B virus replication through a common molecular mechanism but with different in vivo activities. Virology 2010, 401: 197-206. PMID: 20303135, PMCID: PMC2864496, DOI: 10.1016/j.virol.2010.02.022.Peer-Reviewed Original ResearchConceptsIFN-alpha/betaIFN-lambdaHepatitis B virus replicationB virus replicationType III interferonsRelated cytokines interleukinWeak antiviral activityHBV responseHBV replicationIL-22IL-6Molecular mechanismsCytokines interleukinAlpha interferonAntiviral immunityIII interferonsTransgenic miceAntiviral responseAntiviral mechanismAntiviral activityVirus replicationUnique receptorCommon molecular mechanismIFN-lambda2Vivo activity
2009
Salmonella Typhimurium Type III Secretion Effectors Stimulate Innate Immune Responses in Cultured Epithelial Cells
Bruno VM, Hannemann S, Lara-Tejero M, Flavell RA, Kleinstein SH, Galán JE. Salmonella Typhimurium Type III Secretion Effectors Stimulate Innate Immune Responses in Cultured Epithelial Cells. PLOS Pathogens 2009, 5: e1000538. PMID: 19662166, PMCID: PMC2714975, DOI: 10.1371/journal.ppat.1000538.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBacterial ProteinsBlotting, WesternCell LineColitisEpithelial CellsGene ExpressionGene Expression ProfilingGuanine Nucleotide Exchange FactorsHumansImmunity, InnateMiceMitogen-Activated Protein Kinase KinasesMyotonin-Protein KinaseNF-kappa BOligonucleotide Array Sequence AnalysisProtein Serine-Threonine KinasesReverse Transcriptase Polymerase Chain ReactionSalmonella InfectionsSalmonella typhimuriumSignal TransductionTranscription, GeneticConceptsInnate immune receptorsInnate immune responseIntestinal inflammationImmune responseEpithelial cellsBacterial productsIntestinal inflammatory pathologyImmune receptorsCultured epithelial cellsEnteric pathogen Salmonella typhimuriumInnate immune systemIntestinal epithelial cellsInflammatory pathologyInflammatory responseType III secretion effectorsImmune systemSalmonella typhimuriumNF-kappaBMitogen-activated protein kinaseEnteric pathogensPathogen Salmonella typhimuriumPathologyReceptorsInflammationType III secretion system
2008
Interleukin-29 Functions Cooperatively with Interferon to Induce Antiviral Gene Expression and Inhibit Hepatitis C Virus Replication*
Pagliaccetti NE, Eduardo R, Kleinstein SH, Mu XJ, Bandi P, Robek MD. Interleukin-29 Functions Cooperatively with Interferon to Induce Antiviral Gene Expression and Inhibit Hepatitis C Virus Replication*. Journal Of Biological Chemistry 2008, 283: 30079-30089. PMID: 18757365, PMCID: PMC2662072, DOI: 10.1074/jbc.m804296200.Peer-Reviewed Original ResearchConceptsAntiviral gene expressionIFN-alpha/betaIL-29IFN-alphaVirus replicationIFN-gammaInhibits Hepatitis C Virus ReplicationCritical innate immune responseAntiviral activityHepatitis C virus replicationChronic viral infectionsC virus replicationGreater antiviral activityInnate immune responseIFN-gamma combinationHepatitis CGene expressionCellular antiviral responseCytokines interleukinHCV replicationImmune responseViral infectionIndividual cytokinesVesicular stomatitis virusAntiviral response