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 protocolsPatientsSingle cell immunophenotyping of the skin lesion erythema migrans Identifies IgM memory B cells
Jiang R, Meng H, Raddassi K, Fleming I, Hoehn KB, Dardick KR, Belperron AA, Montgomery RR, Shalek AK, Hafler DA, Kleinstein SH, Bockenstedt LK. Single cell immunophenotyping of the skin lesion erythema migrans Identifies IgM memory B cells. JCI Insight 2021, 6: e148035. PMID: 34061047, PMCID: PMC8262471, DOI: 10.1172/jci.insight.148035.Peer-Reviewed Original ResearchConceptsMemory B cellsErythema migransB cellsEM lesionsIgM memory B cellsLyme diseaseB-cell receptor sequencingSkin infection siteCell receptor sequencingEarly Lyme diseaseLocal antigen presentationSkin immune responsesB cell populationsSingle-cell immunophenotypingMHC class II genesUninvolved skinImmune cellsSpirochetal infectionAntigen presentationCell immunophenotypingT cellsImmune responseIsotype usageAntibody productionInitial signs
2019
Multi‐site reproducibility of a human immunophenotyping assay in whole blood and peripheral blood mononuclear cells preparations using CyTOF technology coupled with Maxpar Pathsetter, an automated data analysis system
Bagwell CB, Hunsberger B, Hill B, Herbert D, Bray C, Selvanantham T, Li S, Villasboas JC, Pavelko K, Strausbauch M, Rahman A, Kelly G, Asgharzadeh S, Gomez‐Cabrero A, Behbehani G, Chang H, Lyberger J, Montgomery R, Zhao Y, Inokuma M, Goldberger O, Stelzer G. Multi‐site reproducibility of a human immunophenotyping assay in whole blood and peripheral blood mononuclear cells preparations using CyTOF technology coupled with Maxpar Pathsetter, an automated data analysis system. Cytometry Part B Clinical Cytometry 2019, 98: 146-160. PMID: 31758746, PMCID: PMC7543682, DOI: 10.1002/cyto.b.21858.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsWhole bloodPeripheral blood mononuclear cell preparationsDeep immune phenotypingBlood mononuclear cellsImmune cell populationsMononuclear cell preparationsCell populationsTranslational clinical researchWhole blood preparationsImmune phenotypingMononuclear cellsPBMC samplesClinical trialsImmune cellsClinical researchCyTOF technologyBlood preparationsInter-site reproducibilityBloodCell preparationsSingle donorMulti-site reproducibilityCellsProfiling assaysA Modified Injector and Sample Acquisition Protocol Can Improve Data Quality and Reduce Inter‐Instrument Variability of the Helios Mass Cytometer
Lee BH, Kelly G, Bradford S, Davila M, Guo XV, Amir E, Thrash EM, Solga MD, Lannigan J, Sellers B, Candia J, Tsang J, Montgomery RR, Tamaki SJ, Sigdel TK, Sarwal MM, Lanier LL, Tian Y, Kim C, Hinz D, Peters B, Sette A, Rahman AH. A Modified Injector and Sample Acquisition Protocol Can Improve Data Quality and Reduce Inter‐Instrument Variability of the Helios Mass Cytometer. Cytometry Part A 2019, 95: 1019-1030. PMID: 31364278, PMCID: PMC6750971, DOI: 10.1002/cyto.a.23866.Peer-Reviewed Original Research
2017
The natural killer cell response to West Nile virus in young and old individuals with or without a prior history of infection
Yao Y, Strauss-Albee DM, Zhou JQ, Malawista A, Garcia MN, Murray KO, Blish CA, Montgomery RR. The natural killer cell response to West Nile virus in young and old individuals with or without a prior history of infection. PLOS ONE 2017, 12: e0172625. PMID: 28235099, PMCID: PMC5325267, DOI: 10.1371/journal.pone.0172625.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overAntigens, CDAsymptomatic DiseasesFemaleGene Expression RegulationHumansImmunity, InnateImmunophenotypingInterferon-gammaKiller Cells, NaturalLymphocyte ActivationLymphocyte CountMiddle AgedNatural Cytotoxicity Triggering Receptor 1Natural Cytotoxicity Triggering Receptor 2Natural Cytotoxicity Triggering Receptor 3NK Cell Lectin-Like Receptor Subfamily CNK Cell Lectin-Like Receptor Subfamily KPrimary Cell CultureSeverity of Illness IndexWest Nile FeverWest Nile virusConceptsNK cell subsetsNK cellsWest Nile virusWNV infectionCell subsetsCell responsesSpecific NK cell subsetsNatural killer cell responsesInnate NK cellsSevere neuroinvasive diseaseNK cell responsesNK cell receptorsNile virusHuman WNV infectionsImmune pathogenesisNK repertoirePolyfunctional responsesMore IFNSymptomatic infectionChemokine secretionAsymptomatic infectionNeuroinvasive diseasePrior historyCytolytic activityInfection
2014
CyTOF supports efficient detection of immune cell subsets from small samples
Yao Y, Liu R, Shin MS, Trentalange M, Allore H, Nassar A, Kang I, Pober JS, Montgomery RR. CyTOF supports efficient detection of immune cell subsets from small samples. Journal Of Immunological Methods 2014, 415: 1-5. PMID: 25450003, PMCID: PMC4269324, DOI: 10.1016/j.jim.2014.10.010.Peer-Reviewed Original ResearchConceptsImmune cell subsetsCell subsetsImmune cell statesPatient biopsiesTranslational investigationsFlow cytometryClinical researchCellular analysisMass cytometryMultiple cell populationsCell populationsCytometryCyTOFSingle-cell analysisMultiparameter single cell analysisFluorescence cytometryFluorescence-based flow cytometryCell statesHuman diseasesMarkersTremendous detailBiopsyPathogenesisSystems 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