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
2019
ImmuneRegulation: a web-based tool for identifying human immune regulatory elements
Kalayci S, Selvan ME, Ramos I, Cotsapas C, Harris E, Kim EY, Montgomery RR, Poland G, Pulendran B, Tsang JS, Klein RJ, Gümüş ZH. ImmuneRegulation: a web-based tool for identifying human immune regulatory elements. Nucleic Acids Research 2019, 47: w142-w150. PMID: 31114925, PMCID: PMC6602512, DOI: 10.1093/nar/gkz450.Peer-Reviewed Original ResearchTranscriptomic analysis of human IL‐7 receptor alpha low and high effector memory CD8+ T cells reveals an age‐associated signature linked to influenza vaccine response in older adults
Park H, Shin MS, Kim M, Bilsborrow JB, Mohanty S, Montgomery RR, Shaw AC, You S, Kang I. Transcriptomic analysis of human IL‐7 receptor alpha low and high effector memory CD8+ T cells reveals an age‐associated signature linked to influenza vaccine response in older adults. Aging Cell 2019, 18: e12960. PMID: 31044512, PMCID: PMC6612637, DOI: 10.1111/acel.12960.Peer-Reviewed Original ResearchConceptsPeripheral blood cellsPeripheral blood mononuclear cellsEffector memory CD8Influenza vaccine responsesEM CD8T cellsIL-7RαMemory CD8Vaccine responsesBlood cellsOlder adultsIL-7 receptor alphaSignature genesBlood mononuclear cellsHuman peripheral whole bloodAge-associated expansionPeripheral whole bloodGene expression profilesAge-associated changesMeta-analysis studyGlobal transcriptomic profilesMononuclear cellsCD8Receptor alphaExpression profiles
2015
Leukocyte-specific protein 1 regulates T-cell migration in rheumatoid arthritis
Hwang SH, Jung SH, Lee S, Choi S, Yoo SA, Park JH, Hwang D, Shim SC, Sabbagh L, Kim KJ, Park SH, Cho CS, Kim BS, Leng L, Montgomery RR, Bucala R, Chung YJ, Kim WU. Leukocyte-specific protein 1 regulates T-cell migration in rheumatoid arthritis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 112: e6535-e6543. PMID: 26554018, PMCID: PMC4664344, DOI: 10.1073/pnas.1514152112.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsArthritis, ExperimentalArthritis, RheumatoidCalcium-Binding ProteinsCell MovementCells, CulturedChronic DiseaseExtracellular Signal-Regulated MAP KinasesGene DosageGene Expression ProfilingGenetic Predisposition to DiseaseHumansHypersensitivity, DelayedInflammationMiceMicrofilament ProteinsPhosphorylationReceptors, Antigen, T-CellT-LymphocytesConceptsT cell migrationRheumatoid arthritisT cellsImmune dysfunctionPathogenesis of RAPeripheral T cellsT cell activationT cell receptor activationProtein expression levelsLymph nodesChronic inflammationCytokine responsesInflamed synoviumAutoimmune diseasesLeukocyte-specific protein 1Primary T cellsRA susceptibilityReceptor activationDisease severityMigratory capacityLSP1 geneDiminished expressionTarget tissuesCell motilityProtein 1
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 cells
2013
Identification of Genes Critical for Resistance to Infection by West Nile Virus Using RNA-Seq Analysis
Qian F, Chung L, Zheng W, Bruno V, Alexander RP, Wang Z, Wang X, Kurscheid S, Zhao H, Fikrig E, Gerstein M, Snyder M, Montgomery RR. Identification of Genes Critical for Resistance to Infection by West Nile Virus Using RNA-Seq Analysis. Viruses 2013, 5: 1664-1681. PMID: 23881275, PMCID: PMC3738954, DOI: 10.3390/v5071664.Peer-Reviewed Original ResearchMeSH KeywordsAdultDisease ResistanceFemaleGene Expression ProfilingGene Knockdown TechniquesHigh-Throughput Nucleotide SequencingHumansMacrophagesMaleRNAWest Nile virusYoung AdultConceptsCommon gene pathwaysNovel cellular responsesDifferential gene expressionRNA-seq analysisWest Nile virusGene expression analysisPrimary human macrophagesGene isoformsHigh-throughput methodRNA-seqGene pathwaysExpression analysisGenes CriticalKnock-downGene expressionCellular responsesGene changesResistant individualsBiological settingsHuman macrophagesGenesCritical roleAvailable treatmentsHealthy donorsViral infectionDifferential expression analysis for paired RNA-seq data
Chung LM, Ferguson JP, Zheng W, Qian F, Bruno V, Montgomery RR, Zhao H. Differential expression analysis for paired RNA-seq data. BMC Bioinformatics 2013, 14: 110. PMID: 23530607, PMCID: PMC3663822, DOI: 10.1186/1471-2105-14-110.Peer-Reviewed Original Research
2008
RNA interference screen for human genes associated with West Nile virus infection
Krishnan MN, Ng A, Sukumaran B, Gilfoy FD, Uchil PD, Sultana H, Brass AL, Adametz R, Tsui M, Qian F, Montgomery RR, Lev S, Mason PW, Koski RA, Elledge SJ, Xavier RJ, Agaisse H, Fikrig E. RNA interference screen for human genes associated with West Nile virus infection. Nature 2008, 455: 242-245. PMID: 18690214, PMCID: PMC3136529, DOI: 10.1038/nature07207.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyDengue VirusEndoplasmic ReticulumGene Expression ProfilingGenome, HumanHeLa CellsHIVHumansImmunityMonocarboxylic Acid TransportersMuscle ProteinsProtein BindingRNA InterferenceUbiquitin-Protein LigasesUbiquitinationVesiculovirusVirus ReplicationWest Nile FeverWest Nile virus