Featured Publications
Maturation of germinal center B cells after influenza virus vaccination in humans
McIntire K, Meng H, Lin T, Kim W, Moore N, Han J, McMahon M, Wang M, Malladi S, Mohammed B, Zhou J, Schmitz A, Hoehn K, Carreño J, Yellin T, Suessen T, Middleton W, Teefey S, Presti R, Krammer F, Turner J, Ward A, Wilson I, Kleinstein S, Ellebedy A. Maturation of germinal center B cells after influenza virus vaccination in humans. Journal Of Experimental Medicine 2024, 221: e20240668. PMID: 38935072, PMCID: PMC11211068, DOI: 10.1084/jem.20240668.Peer-Reviewed Original ResearchConceptsB cellsInfluenza vaccineGerminal centersAntigen-specific GC B cellsResponse to seasonal influenza vaccinationLong-lived bone marrow plasma cellsResponse to influenza vaccinationBone marrow plasma cellsGerminal center B cellsGC B cell clonesInfluenza virus vaccineMaturation of B cellsMarrow plasma cellsSeasonal influenza vaccineMemory B cellsHemagglutinin (HAB cell clonesGC B cellsInfluenza hemagglutinin (HAH5 HANeedle aspirationLymphoid structuresLymph nodesPlasma cellsGC reactionB cell phylogenetics in the single cell era
Hoehn K, Kleinstein S. B cell phylogenetics in the single cell era. Trends In Immunology 2023, 45: 62-74. PMID: 38151443, PMCID: PMC10872299, DOI: 10.1016/j.it.2023.11.004.Peer-Reviewed Original ResearchLanguage model-based B cell receptor sequence embeddings can effectively encode receptor specificity
Wang M, Patsenker J, Li H, Kluger Y, Kleinstein S. Language model-based B cell receptor sequence embeddings can effectively encode receptor specificity. Nucleic Acids Research 2023, 52: 548-557. PMID: 38109302, PMCID: PMC10810273, DOI: 10.1093/nar/gkad1128.Peer-Reviewed Original ResearchMulti-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients
Diray-Arce J, Fourati S, Jayavelu N, Patel R, Maguire C, Chang A, Dandekar R, Qi J, Lee B, van Zalm P, Schroeder A, Chen E, Konstorum A, Brito A, Gygi J, Kho A, Chen J, Pawar S, Gonzalez-Reiche A, Hoch A, Milliren C, Overton J, Westendorf K, Network I, Abraham J, Adkisson M, Albert M, Torres L, Alvarenga B, Anderson M, Anderson E, Arnett A, Asashima H, Atkinson M, Baden L, Barton B, Beach K, Beagle E, Becker P, Bell M, Bernui M, Bime C, Kumar A, Booth L, Borresen B, Brakenridge S, Bristow L, Bryant R, Calfee C, Manuel J, Carrillo S, Chak S, Chang I, Connors J, Conway M, Corry D, Cowan D, Croen B, Dela Cruz C, Cusimano G, Eaker L, Edwards C, Ehrlich L, Elashoff D, Erickson H, Erle D, Farhadian S, Farrugia K, Fatou B, Fernandes A, Fernandez-Sesma A, Fragiadakis G, Furukawa S, Geltman J, Ghale R, Bermúdez M, Goonewardene M, Sanchez E, Guirgis F, Hafler D, Hamilton S, Harris P, Nemati A, Hendrickson C, Agudelo N, Hodder T, Holland S, Hough C, Huerta C, Hurley K, Hutton S, Iwasaki A, Jauregui A, Jha M, Johnson B, Joyner D, Kangelaris K, Kelly G, Khalil Z, Khan Z, Kheradmand F, Kim J, Kimura H, Ko A, Kohr B, Kraft M, Krummel M, Kutzler M, Lasky-Su J, Lee S, Lee D, Leipold M, Lentucci C, Leroux C, Lin E, Liu S, Love C, Lu Z, Maliskova L, Roth B, Manohar M, Martens M, McComsey G, McEnaney K, McLin R, Melamed E, Melnyk N, Mendez K, Messer W, Metcalf J, Michelotti G, Mick E, Mohanty S, Mosier J, Mulder L, Murphy M, Nadeau K, Nelson E, Nelson A, Nguyen V, Oberhaus J, Panganiban B, Pellegrini K, Pickering H, Powell D, Presnell S, Pulendran B, Rahman A, Sadeed A, Raskin A, Reed E, Pereira S, Rivera A, Rogers J, Rogers A, Rogowski B, Rooks R, Rosenberg-Hasson Y, Rothman J, Rousseau J, Salehi-Rad R, Saluvan M, Samaha H, Schaenman J, Schunk R, Semenza N, Sen S, Sevransky J, Seyfert-Margolis V, Shaheen T, Shaw A, Sieg S, Siegel S, Sigal N, Siles N, Simmons B, Simon V, Singh G, Sinko L, Smith C, Smolen K, Song L, Srivastava K, Sullivan P, Syphurs C, Tcheou J, Tegos G, Tharp G, Ally A, Tsitsiklis A, Ungaro R, Vaysman T, Viode A, Vita R, Wang X, Ward A, Ward D, Willmore A, Woloszczuk K, Wong K, Woodruff P, Xu L, van Haren S, van de Guchte A, Zhao Y, Cairns C, Rouphael N, Bosinger S, Kim-Schulze S, Krammer F, Rosen L, Grubaugh N, van Bakel H, Wilson M, Rajan J, Steen H, Eckalbar W, Cotsapas C, Langelier C, Levy O, Altman M, Maecker H, Montgomery R, Haddad E, Sekaly R, Esserman D, Ozonoff A, Becker P, Augustine A, Guan L, Peters B, Kleinstein S. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients. Cell Reports Medicine 2023, 4: 101079. PMID: 37327781, PMCID: PMC10203880, DOI: 10.1016/j.xcrm.2023.101079.Peer-Reviewed Original ResearchConceptsDisease courseFatal COVID-19 diseaseHospitalized COVID-19 patientsSevere disease courseCOVID-19 participantsCOVID-19 patientsTrajectory groupsHost immune responseCOVID-19 diseaseImmune correlatesAcute infectionClinical courseHospital admissionClinical outcomesFatal outcomeClinical prognosisImmune responseSevere diseaseLongitudinal bloodNasal samplesBiologic stateLongitudinal studyDistinct assaysCohortMolecular signaturesBenchmarking transcriptional host response signatures for infection diagnosis
Chawla D, Cappuccio A, Tamminga A, Sealfon S, Zaslavsky E, Kleinstein S. Benchmarking transcriptional host response signatures for infection diagnosis. Cell Systems 2022, 13: 974-988.e7. PMID: 36549274, PMCID: PMC9768893, DOI: 10.1016/j.cels.2022.11.007.Peer-Reviewed Original ResearchConceptsInfection diagnosisHost response signatureNon-infectious conditionsClinical applicationResponse signatureChronic infectionPathogen of interestBacterial infectionsInfectionSignature of infectionDisease signaturesDiagnosisTranscriptional profilesStandardized methodologyDevelopment of signaturesDecreased performance
2024
Sex differences in proteomics of cardiovascular disease: results from the Yale-CMD registry
Liu Y, Wang Z, Collins S, Testani J, Kleinstein S, Safdar B. Sex differences in proteomics of cardiovascular disease: results from the Yale-CMD registry. European Heart Journal 2024, 45: ehae666.3091. DOI: 10.1093/eurheartj/ehae666.3091.Peer-Reviewed Original ResearchCoronary microvascular dysfunctionCoronary artery diseaseUpregulation of lipidCardiovascular diseaseAcute heart failureCoronary artery disease cohortHistory of diabetesPathophysiology of CVDProximity extension assayBody mass indexSignificant sex differencesRegulation of blood flowSerum proteomic profilesSex differencesProteomic profilingAngiogenesis-related proteinsCardiac PET/CTHemodynamic instabilityIschemic symptomsMicrovascular dysfunctionFalse discovery rateHeart failureFebrile illnessFunctional pathway analysisMass indexAntibody gene features associated with binding and functional activity in malaria vaccine-derived human mAbs
Coelho C, Marquez S, Nguemwo Tentokam B, Berhe A, Miura K, Rao V, Long C, Doumbo O, Sagara I, Healy S, Kleinstein S, Duffy P. Antibody gene features associated with binding and functional activity in malaria vaccine-derived human mAbs. Npj Vaccines 2024, 9: 144. PMID: 39127706, PMCID: PMC11316794, DOI: 10.1038/s41541-024-00929-6.Peer-Reviewed Original ResearchHuman monoclonal antibodyBlocking parasite transmissionMalaria vaccinePlasmodium antigensImpact of adjuvantsClonotypic diversityHuman mAbsAS01Adjuvant groupVaccine designMalariaMonoclonal antibodiesAdjuvant selectionFunctional antibodiesAlhydrogelMAbGermline sequencesAntibodiesAntibody repertoireFunctional mAbsFunctional activityAdjuvantCohortIGHV1Vaccinenf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework.
Gabernet G, Marquez S, Bjornson R, Peltzer A, Meng H, Aron E, Lee N, Jensen C, Ladd D, Polster M, Hanssen F, Heumos S, , Yaari G, Kowarik M, Nahnsen S, Kleinstein S. nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework. PLOS Computational Biology 2024, 20: e1012265. PMID: 39058741, PMCID: PMC11305553, DOI: 10.1371/journal.pcbi.1012265.Peer-Reviewed Original ResearchImmcantation frameworkAIRR-seqAIRR-seq dataAdaptive immune receptor repertoire sequencingSingle-cell sequencing datasetsClonal inferenceSequencing errorsSequencing datasetsNextflow workflowClonal relationshipReceptor sequencesRepertoire sequencingHigh-throughput processingSequenceImmune challengeAnalysis workflowT-cell receptor sequencingNextflowB cellsSARS-CoV-2Experimental toolResponse to SARS-CoV-2Infectious diseasesPI3Kγ in B cells promotes antibody responses and generation of antibody-secreting cells
Lanahan S, Yang L, Jones K, Qi Z, Cabrera E, Cominsky L, Ramaswamy A, Barmada A, Gabernet G, Uthaya Kumar D, Xu L, Shan P, Wymann M, Kleinstein S, Rao V, Mustillo P, Romberg N, Abraham R, Lucas C. PI3Kγ in B cells promotes antibody responses and generation of antibody-secreting cells. Nature Immunology 2024, 25: 1422-1431. PMID: 38961274, DOI: 10.1038/s41590-024-01890-1.Peer-Reviewed Original ResearchAntibody-secreting cellsMemory B cellsB cellsKinase activity-dependent mannerDifferentiation of antibody-secreting cellsAntibody responseGeneration of antibody-secreting cellsInborn errors of immunityActivity-dependent mannerMouse immunization modelFate choiceT cell-dependent antigensToll-like receptor activationTranscriptional programsB cell biologyPhosphoinositide 3-kinase-gammaErrors of immunityNaive B cellsTransduce signalsActivated B cellsB lineage cellsRobust antibody responsesHumoral defectsHumoral immunityReceptor activationA unified metric of human immune health
Sparks R, Rachmaninoff N, Lau W, Hirsch D, Bansal N, Martins A, Chen J, Liu C, Cheung F, Failla L, Biancotto A, Fantoni G, Sellers B, Chawla D, Howe K, Mostaghimi D, Farmer R, Kotliarov Y, Calvo K, Palmer C, Daub J, Foruraghi L, Kreuzburg S, Treat J, Urban A, Jones A, Romeo T, Deuitch N, Moura N, Weinstein B, Moir S, Ferrucci L, Barron K, Aksentijevich I, Kleinstein S, Townsley D, Young N, Frischmeyer-Guerrerio P, Uzel G, Pinto-Patarroyo G, Cudrici C, Hoffmann P, Stone D, Ombrello A, Freeman A, Zerbe C, Kastner D, Holland S, Tsang J. A unified metric of human immune health. Nature Medicine 2024, 30: 2461-2472. PMID: 38961223, DOI: 10.1038/s41591-024-03092-6.Peer-Reviewed Original ResearchClinically healthy individualsHealthy individualsImmune cell frequenciesImmune healthInflammatory biomarkers C-reactive proteinC-reactive proteinBiomarkers C-reactive proteinResponse to immunizationAntibody response to immunizationInflammatory disease statesImmune pathologyDisease activityTreatment responseAntigenic stimulationImmune consequencesClinical dataImmunological pathwaysHealthy controlsCell frequencyInterleukin-6Nonimmunologic diseasesImmune diseasesMonogenic diseasesMonogenic conditionsMedication useIntegrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality
Gygi J, Maguire C, Patel R, Shinde P, Konstorum A, Shannon C, Xu L, Hoch A, Jayavelu N, Haddad E, Network I, Reed E, Kraft M, McComsey G, Metcalf J, Ozonoff A, Esserman D, Cairns C, Rouphael N, Bosinger S, Kim-Schulze S, Krammer F, Rosen L, van Bakel H, Wilson M, Eckalbar W, Maecker H, Langelier C, Steen H, Altman M, Montgomery R, Levy O, Melamed E, Pulendran B, Diray-Arce J, Smolen K, Fragiadakis G, Becker P, Sekaly R, Ehrlich L, Fourati S, Peters B, Kleinstein S, Guan L. Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality. Journal Of Clinical Investigation 2024, 134: e176640. PMID: 38690733, PMCID: PMC11060740, DOI: 10.1172/jci176640.Peer-Reviewed Original ResearchConceptsClinical outcomesImmune cascadeElevated levels of inflammatory cytokinesDisease severityLevels of inflammatory cytokinesFormation of neutrophil extracellular trapsAcute COVID-19 severityCritically ill patientsNeutrophil extracellular trapsDevelopment of therapiesCOVID-19 cohortCOVID-19 severityViral clearanceImmunosuppressive metabolitesDeep immunophenotypingMultiomic modelIFN-stimulated genesImmunophenotypic assessmentB cellsDisease courseEarly upregulationInflammatory cytokinesDisease progressionIFN inhibitorsExtracellular trapsA supervised Bayesian factor model for the identification of multi-omics signatures
Gygi J, Konstorum A, Pawar S, Aron E, Kleinstein S, Guan L. A supervised Bayesian factor model for the identification of multi-omics signatures. Bioinformatics 2024, 40: btae202. PMID: 38603606, PMCID: PMC11078774, DOI: 10.1093/bioinformatics/btae202.Peer-Reviewed Original ResearchConceptsMulti-omics signaturesBayesian factor modelMulti-omics dataMulti-omics integrationSupplementary dataOmics datasetsMulti-omicsProfiling datasetsR packageDiverse assaysImproved biological understandingProfiling assaysSignature discoveryBioinformaticsProfiling studiesBiological understandingDimensionality reductionBiological responsesBiological signaturesCombination of dimensionality reductionInferring B Cell Phylogenies from Paired H and L Chain BCR Sequences with Dowser.
Jensen C, Sumner J, Kleinstein S, Hoehn K. Inferring B Cell Phylogenies from Paired H and L Chain BCR Sequences with Dowser. The Journal Of Immunology 2024, 212: 1579-1588. PMID: 38557795, PMCID: PMC11073909, DOI: 10.4049/jimmunol.2300851.Peer-Reviewed Original ResearchConceptsPhylogenetic treeL chainsBranch lengthsBCR sequencesTree-building methodsSingle-cell sequencing dataHistory of mutationsSingle-cell sequencingPhylogenetic methodsSequence dataSequencing technologiesL chain sequencesTree accuracyEvolutionary processSingle-cellPhylogenyImmune responseSomatic hypermutationSequenceClonesMutationsB cell clonesHuman immune responseTreesBCRA multi-omics systems vaccinology resource to develop and test computational models of immunity
Shinde P, Soldevila F, Reyna J, Aoki M, Rasmussen M, Willemsen L, Kojima M, Ha B, Greenbaum J, Overton J, Guzman-Orozco H, Nili S, Orfield S, Gygi J, da Silva Antunes R, Sette A, Grant B, Olsen L, Konstorum A, Guan L, Ay F, Kleinstein S, Peters B. A multi-omics systems vaccinology resource to develop and test computational models of immunity. Cell Reports Methods 2024, 4: 100731. PMID: 38490204, PMCID: PMC10985234, DOI: 10.1016/j.crmeth.2024.100731.Peer-Reviewed Original ResearchCD23+IgG1+ memory B cells are poised to switch to pathogenic IgE production in food allergy
Ota M, Hoehn K, Fernandes-Braga W, Ota T, Aranda C, Friedman S, Miranda-Waldetario M, Redes J, Suprun M, Grishina G, Sampson H, Malbari A, Kleinstein S, Sicherer S, Curotto de Lafaille M. CD23+IgG1+ memory B cells are poised to switch to pathogenic IgE production in food allergy. Science Translational Medicine 2024, 16: eadi0673. PMID: 38324641, PMCID: PMC11008013, DOI: 10.1126/scitranslmed.adi0673.Peer-Reviewed Original ResearchConceptsMemory B cellsB cellsIgE-producing cellsPeanut allergySerum peanut-specific IgEFood allergyInterleukin-4 (IL-4)-B cell memoryPeanut-specific IgEAllergen-specific immunoglobulin EHigh-affinity B cellsPersistent IgE responsesConcentration of IgESingle-cell RNA sequencing experimentsMemory populationRNA sequencing experimentsIgE productionImmune responseImmunoglobulin ECirculating concentrationsIgE responseAllergySequencing experimentsAra h 2Long-term persistenceMemory B cell subsets have divergent developmental origins that are coupled to distinct imprinted epigenetic states
Callahan D, Smita S, Joachim S, Hoehn K, Kleinstein S, Weisel F, Chikina M, Shlomchik M. Memory B cell subsets have divergent developmental origins that are coupled to distinct imprinted epigenetic states. Nature Immunology 2024, 25: 562-575. PMID: 38200277, DOI: 10.1038/s41590-023-01721-9.Peer-Reviewed Original ResearchGerminal center B cellsDistinct genomic featuresDP cellsDevelopmental originsEpigenetic stateFunctional diversityEpigenetic patternsTranscriptional profilingGenomic featuresDN cellsDistinct developmental historiesB cellsReporter miceFunctional responseCellsMemory B cellsChromatinB cell subsetsCell-dependent responsesMultiple approachesProgenyDiversityT cell-dependent responsesGerminal centersDevelopmental historyIgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition
Ozonoff A, Ehrlich L, Melamed E, Sesma A, Simon V, Pulendran B, Nadeau K, Davis M, McCoey G, Sekaly R, Baden L, Levy O, Schaenman J, Reed E, Shaw A, Hafler D, Montgomery R, Kleinstein S, Becker P, Augustine A, Calfee C, Erle D, DeBakey M, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Higuita N, Metcalf J, Hough C, Messer W, Kraft M, Bime C, Peters B, Milliren C, Syphurs C, McEnaney K, Barton B, Lentucci C, Saluvan M, Chang A, Hoch A, Albert M, Shaheen T, Kho A, Liu S, Thomas S, Chen J, Murphy M, Cooney M, Hayati A, Bryant R, Abraham J, Jayavelu N, Presnell S, Jancsyk T, Maguire C, Qi J, Lee B, Fourati S, Esserman D, Guan L, Gygi J, Pawar S, Brito A, Fragiadakis G, Patel R, Overton J, Vita R, Westendorf K, Shannon C, Tebbutt S, Thyagarajan R, Rousseau J, Wylie D, Triplett T, Kojic E, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Geng L, Yendewa G, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Sherman A, Walsh S, Issa N, Salehi-Rad R, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Anderson E, Mehta A, Sevransky J, Seyfert-Margolis V, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Langelier C, Woodruff P, Corry D, Kheradmand F, Anderson M, Guirgis F, Drevets D, Brown B, Siegel S, Lu Z, Mosier J, Kimura H, Khor B, van Bakel H, Rahman A, Stadlbauer D, Dutta J, Xie H, Kim-Schulze S, Gonzalez-Reiche A, van de Guchte A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Kelly G, Patel M, Nie K, Yellin T, Fried M, Sullivan L, Morris S, Sieg S, Steen H, van Zalm P, Fatou B, Mendez K, Lasky-Su J, Hutton S, Michelotti G, Wong K, Jha M, Viode A, Kanarek N, Petrova B, Zhao Y, Bosinger S, Boddapati A, Tharp G, Pellegrini K, Beagle E, Cowan D, Hamilton S, Ribeiro S, Hodder T, Rosen L, Lee S, Wilson M, Dandekar R, Alvarenga B, Rajan J, Eckalbar W, Schroeder A, Tsitsiklis A, Mick E, Guerrero Y, Love C, Maliskova L, Adkisson M, Siles N, Geltman J, Hurley K, Saksena M, Altman D, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Mulder L, Kleiner G, Lee A, Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Sigal N, Chang I, Tribout H, Harris P, Consolo M, Edwards C, Lee E, Lin E, Croen B, Semenza N, Rogowski B, Melnyk N, Bell M, Furukawa S, McLin R, Schearer P, Sheidy J, Tegos G, Nagle C, 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, Rooks R, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Pickering H, Sen S, Chaudhary O, Coppi A, Fournier J, Mohanty S, Muenker C, Nelson A, Raddassi K, Rainone M, Ruff W, Salahuddin S, Schulz W, Vijayakumar P, Wang H, Wunder E, Young H, Rothman J, Konstorum A, Chen E, Cotsapas C, Grubaugh N, Wang X, Xu L, Asashima H, Bristow L, Hussaini L, Hellmeister K, Samaha H, Wimalasena S, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Vaysman T, Holland S, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, 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, Thakur N, Vasquez J, Santhosh L, Song L, Nelson E, Moldawer L, Borresen B, Roth-Manning B, Ungaro R, Oberhaus J, Booth J, Sinko L, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Micheleti C, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T. IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition. Nature Communications 2024, 15: 404. PMID: 38195739, PMCID: PMC10776791, DOI: 10.1038/s41467-023-44211-0.Peer-Reviewed Original Research
2023
Early cellular and molecular signatures correlate with severity of West Nile virus infection
Lee H, Zhao Y, Fleming I, Mehta S, Wang X, Vander Wyk B, Ronca S, Kang H, Chou C, Fatou B, Smolen K, Levy O, Clish C, Xavier R, Steen H, Hafler D, Love J, Shalek A, Guan L, Murray K, Kleinstein S, Montgomery R. Early cellular and molecular signatures correlate with severity of West Nile virus infection. IScience 2023, 26: 108387. PMID: 38047068, PMCID: PMC10692672, DOI: 10.1016/j.isci.2023.108387.Peer-Reviewed Original ResearchWest Nile virusEffective anti-viral responseInnate immune cell typesWest Nile virus infectionPro-inflammatory markersAcute time pointsImmune cell typesAnti-viral responseMolecular signaturesHost cellular activitiesAcute infectionAsymptomatic donorsPeripheral bloodSevere infectionsVirus infectionImmune responseSevere casesCell activityIll individualsSerum proteomicsInfectionInfection severityHigh expressionTime pointsNile virusPrior 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 strategiesIGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data
Peres A, Lees W, Rodriguez O, Lee N, Polak P, Hope R, Kedmi M, Collins A, Ohlin M, Kleinstein S, Watson C, Yaari G. IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data. Nucleic Acids Research 2023, 51: e86-e86. PMID: 37548401, PMCID: PMC10484671, DOI: 10.1093/nar/gkad603.Peer-Reviewed Original Research