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
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
2015
Aging-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
2008
Defective signal transduction in B lymphocytes lacking presenilin proteins
Yagi T, Giallourakis C, Mohanty S, Scheidig C, Shen J, Zheng H, Xavier RJ, Shaw AC. Defective signal transduction in B lymphocytes lacking presenilin proteins. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 979-984. PMID: 18195359, PMCID: PMC2242696, DOI: 10.1073/pnas.0707755105.Peer-Reviewed Original ResearchConceptsPresenilin proteinsDiverse cellular processesMultiple genomic datasetsPS proteinsSignal transduction eventsWhole-genome datasetsDefective signal transductionNotch family membersCalcium-dependent signalingCellular processesProtein substratesSignal transductionTransduction eventsProtein interactionsPS2 functionUnanticipated roleConditional alleleGenomic datasetsToll-like receptor signalingPathway analysisIntegrative analysisPosttranslational cleavageReceptor signalingRecombinase expressionProtein