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
Multiple network-constrained regressions expand insights into influenza vaccination responses
Avey S, Mohanty S, Wilson J, Zapata H, Joshi SR, Siconolfi B, Tsang S, Shaw AC, Kleinstein SH. Multiple network-constrained regressions expand insights into influenza vaccination responses. Bioinformatics 2017, 33: i208-i216. PMID: 28881994, PMCID: PMC5870750, DOI: 10.1093/bioinformatics/btx260.Peer-Reviewed Original Research
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 inductionResponsive population dynamics and wide seeding into the duodenal lamina propria of transglutaminase-2-specific plasma cells in celiac disease
Di Niro R, Snir O, Kaukinen K, Yaari G, Lundin K, Gupta N, Kleinstein S, Cols M, Cerutti A, Mäki M, Shlomchik M, Sollid L. Responsive population dynamics and wide seeding into the duodenal lamina propria of transglutaminase-2-specific plasma cells in celiac disease. Mucosal Immunology 2015, 9: 254-264. PMID: 26153762, PMCID: PMC4703456, DOI: 10.1038/mi.2015.57.Peer-Reviewed Original ResearchMeSH KeywordsAutoantibodiesBiopsyCeliac DiseaseCell CountDiet, Gluten-FreeDuodenumGene Expression RegulationGlutensGTP-Binding ProteinsHumansImmunoglobulin Heavy ChainsIntestinal MucosaLaser Capture MicrodissectionPlasma CellsProtein Glutamine gamma Glutamyltransferase 2Sequence Analysis, DNATransglutaminasesConceptsTG2-specific plasma cellsPlasma cellsCeliac diseaseLamina propriaTransglutaminase 2Antibody-mediated diseasesGluten-free dietSerum antibody levelsSerum antibody titersB cell responsesAntigen-specific antibodiesDuodenal lamina propriaGluten exposureUntreated patientsAntibody levelsAntibody titersCeliac lesionAntigen stainingSubepithelial layerAntibody productionIndividual biopsiesRepertoire analysisDiseaseGut tissueAntibodiesAging-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
Prolonged Proinflammatory Cytokine Production in Monocytes Modulated by Interleukin 10 After Influenza Vaccination in Older Adults
Mohanty S, Joshi SR, Ueda I, Wilson J, Blevins TP, Siconolfi B, Meng H, Devine L, Raddassi K, Tsang S, Belshe RB, Hafler DA, Kaech SM, Kleinstein SH, Trentalange M, Allore HG, Shaw AC. Prolonged Proinflammatory Cytokine Production in Monocytes Modulated by Interleukin 10 After Influenza Vaccination in Older Adults. The Journal Of Infectious Diseases 2014, 211: 1174-1184. PMID: 25367297, PMCID: PMC4366602, DOI: 10.1093/infdis/jiu573.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedCytokinesDual Specificity Phosphatase 1FemaleGene Expression RegulationGPI-Linked ProteinsHumansImmunity, InnateInfluenza VaccinesInfluenza, HumanInterleukin-10Interleukin-6Lipopolysaccharide ReceptorsMaleMonocytesPhosphorylationReceptors, IgGSignal TransductionSTAT3 Transcription FactorTumor Necrosis Factor-alphaVaccinationYoung AdultConceptsOlder adultsInfluenza vaccinationInflammatory monocytesInterleukin-10Cytokine productionOlder subjectsAnti-inflammatory cytokine interleukin-10Influenza vaccine antibody responseTumor necrosis factor αImpaired vaccine responsesVaccine antibody responseIL-10 productionCytokine interleukin-10Proinflammatory cytokine productionNecrosis factor αAge-associated elevationPhosphorylated signal transducerVaccine responsesAntibody responseInterleukin-6Immune responseMonocyte populationsDay 28Intracellular stainingVaccination
2011
Differential Expression of Ly6C and T-bet Distinguish Effector and Memory Th1 CD4+ Cell Properties during Viral Infection
Marshall HD, Chandele A, Jung YW, Meng H, Poholek AC, Parish IA, Rutishauser R, Cui W, Kleinstein SH, Craft J, Kaech SM. Differential Expression of Ly6C and T-bet Distinguish Effector and Memory Th1 CD4+ Cell Properties during Viral Infection. Immunity 2011, 35: 633-646. PMID: 22018471, PMCID: PMC3444169, DOI: 10.1016/j.immuni.2011.08.016.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntigens, LyCell ProliferationGene Expression RegulationImmunologic MemoryLymphocytic choriomeningitis virusMiceMice, Inbred C57BLT-Box Domain ProteinsTh1 CellsConceptsAcute viral infectionViral infectionEffector cellsTfh cell markersVirus-specific effectorT helper 1Th1 effector cellsT-bet expressionIL-7R expressionMemory precursor cellsTh1 CD4Helper 1Memory TTh1 cellsProliferative responseSecondary infectionEffector typeReliable markerCell markersInfectionPrecursor cellsGene expression profilesLy6CCell featuresCell development
2010
Gene Expression Analysis of Forskolin Treated Basilar Papillae Identifies MicroRNA181a as a Mediator of Proliferation
Frucht CS, Uduman M, Duke JL, Kleinstein SH, Santos-Sacchi J, Navaratnam DS. Gene Expression Analysis of Forskolin Treated Basilar Papillae Identifies MicroRNA181a as a Mediator of Proliferation. PLOS ONE 2010, 5: e11502. PMID: 20634979, PMCID: PMC2901389, DOI: 10.1371/journal.pone.0011502.Peer-Reviewed Original ResearchConceptsNew hair cellsAuditory epitheliumChicken auditory epitheliumHair cellsInner ear developmentHair cell regenerationGene expression analysisAuditory hair cellsEar developmentExpression analysisMyosin VIEnrichment analysisCycle controlGene expressionMolecular eventsSingle microRNAMediator of proliferationRelevant pathwaysFunctional experimentsPost-hatch chicksRegenerating tissueMammalsGenesBrdU incorporationCell regeneration
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