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 protocolsPatientsMind the gap from research laboratory to clinic: Challenges and opportunities for next-generation assays in human diseases
D'Souza MP, Palin AC, Calder T, Golding H, Kleinstein SH, Milliken EL, O'Connor D, Tomaras G, Warren J, Boggiano C. Mind the gap from research laboratory to clinic: Challenges and opportunities for next-generation assays in human diseases. Vaccine 2021, 39: 5233-5239. PMID: 34366145, PMCID: PMC8343370, DOI: 10.1016/j.vaccine.2021.07.071.Peer-Reviewed Original ResearchConceptsNext-generation assaysSevere acute respiratory syndrome coronavirus type 2Human immunodeficiency virusCoronavirus type 2National InstituteVaccine delivery methodNovel animal modelProtective immunityImmunodeficiency virusLicensed vaccineEffective vaccineModern vaccinologyPowerful adjuvantAnimal modelsImproved vaccinesType 2Immune systemImmunogen designVaccine developmentInfectious diseasesVaccineGeneration assaysTuberculosisDiseaseCritical pathogens
2015
Human 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 inductionThe center for expanded data annotation and retrieval
Musen MA, Bean CA, Cheung KH, Dumontier M, Durante KA, Gevaert O, Gonzalez-Beltran A, Khatri P, Kleinstein SH, O’Connor M, Pouliot Y, Rocca-Serra P, Sansone SA, Wiser JA, team A. The center for expanded data annotation and retrieval. Journal Of The American Medical Informatics Association 2015, 22: 1148-1152. PMID: 26112029, PMCID: PMC5009916, DOI: 10.1093/jamia/ocv048.Peer-Reviewed Original ResearchConceptsData annotationBiomedical datasetsData management environmentData discoveryMetadata repositoryMetadata authoringData reuseEnd solutionMetadata templateData repositoryData entryRepositoryMetadataAnnotationDatasetComputational techniquesRetrievalExperimental datasetsProject consortiumStandard templateHuman Immunology Project ConsortiumAuthoringDifferent kindsDevelopersPossible refinements
2014
Immune Markers Associated with Host Susceptibility to Infection with West Nile Virus
Qian F, Thakar J, Yuan X, Nolan M, Murray KO, Lee WT, Wong SJ, Meng H, Fikrig E, Kleinstein SH, Montgomery RR. Immune Markers Associated with Host Susceptibility to Infection with West Nile Virus. Viral Immunology 2014, 27: 39-47. PMID: 24605787, PMCID: PMC3949440, DOI: 10.1089/vim.2013.0074.Peer-Reviewed Original ResearchConceptsWest Nile virusSevere infectionsImmune markersIL-4IL-4 levelsSerum cytokine levelsSerum IL-4Nile virusSignificant risk factorsImmune system statusPeripheral blood cellsSevere neurological diseaseCytokine levelsAntibody levelsImmune statusRisk factorsHealthy subjectsStratified cohortWNV infectionNeurological diseasesInfectionAltered expression levelsBlood cellsAltered gene expression patternsHost susceptibilityComputational resources for high-dimensional immune analysis from the Human Immunology Project Consortium
Brusic V, Gottardo R, Kleinstein SH, Davis MM. Computational resources for high-dimensional immune analysis from the Human Immunology Project Consortium. Nature Biotechnology 2014, 32: 146-148. PMID: 24441472, PMCID: PMC4294529, DOI: 10.1038/nbt.2777.Peer-Reviewed Original Research