Featured Publications
Normalizing and denoising protein expression data from droplet-based single cell profiling
Mulè M, Martins A, Tsang J. Normalizing and denoising protein expression data from droplet-based single cell profiling. Nature Communications 2022, 13: 2099. PMID: 35440536, PMCID: PMC9018908, DOI: 10.1038/s41467-022-29356-8.Peer-Reviewed Original ResearchConceptsProtein expression dataSingle-cell profiling methodsExpression dataSingle-cell profilingOligo-conjugated antibodiesTechnical noiseProtein populationCITE-seqCellular heterogeneityComprehensive dissectionDownstream analysisCell profilingDSBsSingle cellsProtein levelsProtein expressionCell populationsOpen-source R packageProfiling methodProtein countsEmpty dropletsR packageComputational analysisCellsBiological variationSystematic Analysis of Cell-to-Cell Expression Variation of T Lymphocytes in a Human Cohort Identifies Aging and Genetic Associations
Lu Y, Biancotto A, Cheung F, Remmers E, Shah N, McCoy J, Tsang J. Systematic Analysis of Cell-to-Cell Expression Variation of T Lymphocytes in a Human Cohort Identifies Aging and Genetic Associations. Immunity 2016, 45: 1162-1175. PMID: 27851916, PMCID: PMC6532399, DOI: 10.1016/j.immuni.2016.10.025.Peer-Reviewed Original ResearchConceptsExpression variationDisease-associated genetic polymorphismsSingle-cell dataPrimary cell populationsCell populationsOrganismal levelFunctional associationDisease susceptibilityGenetic associationFlow cytometry dataCytometry dataGenetic polymorphismsHuman cohortsFlow cytometryCellsHigh-dimensional flow cytometryCell subpopulationsImportant rolePrevalent featureProteinPhenotypeSystematic analysisMultiple baseline measurementsPolymorphismPopulationGlobal Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses
Tsang J, Schwartzberg P, Kotliarov Y, Biancotto A, Xie Z, Germain R, Wang E, Olnes M, Narayanan M, Golding H, Moir S, Dickler H, Perl S, Cheung F, Center T, Consortium T, Obermoser G, Chaussabel D, Palucka K, Chen J, Fuchs J, Ho J, Khurana S, King L, Langweiler M, Liu H, Manischewitz J, Pos Z, Posada J, Schum P, Shi R, Valdez J, Wang W, Zhou H, Kastner D, Marincola F, McCoy J, Trinchieri G, Young N. Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses. Cell 2014, 157: 499-513. PMID: 24725414, PMCID: PMC4139290, DOI: 10.1016/j.cell.2014.03.031.Peer-Reviewed Original ResearchConceptsPre-existing antibody titersPostvaccination antibody responsePeripheral blood mononuclear cell transcriptomeB cell responsesBaseline time pointPostvaccination responsesInfluenza vaccinationImmune monitoringSerum titersAntibody titersAntibody responseBaseline predictorsBaseline differencesImmune parametersHuman immunityCell responsesSubpopulation frequenciesTime pointsCell populationsIntra-individual variationVaccinationTiters
2020
Multi-modal immune phenotyping of maternal peripheral blood in normal human pregnancy
Apps R, Kotliarov Y, Cheung F, Han K, Chen J, Biancotto A, Babyak A, Zhou H, Shi R, Barnhart L, Osgood S, Belkaid Y, Holland S, Tsang J, Zerbe C. Multi-modal immune phenotyping of maternal peripheral blood in normal human pregnancy. JCI Insight 2020, 5 PMID: 32163376, PMCID: PMC7205264, DOI: 10.1172/jci.insight.134838.Peer-Reviewed Original ResearchConceptsMajor immune cell populationsImmune cell populationsGestational ageB cell subset frequenciesCell populationsFlow cytometryPeripheral immune phenotypeCell subset frequenciesNormal human pregnancyHigh-parameter flow cytometryComplete blood countMaternal peripheral bloodComplete blood count testT cell polarizationBlood count testMore persistent alterationsSerum proteomic analysisResource-limited settingsClinical flow cytometryParameter flow cytometrySomaLogic platformImmunological changesImmune phenotypingNormal pregnancyHuman pregnancy
2018
Immune regulation by glucocorticoids can be linked to cell-lineage-specific transcriptional responses
Franco L, Gadkari M, Howe K, Sun J, Kumar P, Kardava L, Biancotto A, Hu Z, Fraser I, Moir S, Germain R, Tsang J. Immune regulation by glucocorticoids can be linked to cell-lineage-specific transcriptional responses. The Journal Of Immunology 2018, 200: 48.7-48.7. DOI: 10.4049/jimmunol.200.supp.48.7.Peer-Reviewed Original ResearchTranscriptional responseReceptor signalingSpecific transcriptional responsesGenome-wide approachesTotal RNA sequencingSmall RNA sequencingB-cell receptor signalingCell receptor signalingExpression of genesDependent transcriptional responsesPrimary cell populationsB cellsTranscriptional regulationIndividual genesRNA sequencingToll-like receptor signalingNegative regulatorKey moleculesB cell activationHuman B cellsSingle intravenous doseProtein levelsAnti-inflammatory drugsImmune pathwaysCell populations
2017
Environment Tunes Propagation of Cell-to-Cell Variation in the Human Macrophage Gene Network
Martins A, Narayanan M, Prüstel T, Fixsen B, Park K, Gottschalk R, Lu Y, Andrews-Pfannkoch C, Lau W, Wendelsdorf K, Tsang J. Environment Tunes Propagation of Cell-to-Cell Variation in the Human Macrophage Gene Network. Cell Systems 2017, 4: 379-392.e12. PMID: 28365150, PMCID: PMC8392141, DOI: 10.1016/j.cels.2017.03.002.Peer-Reviewed Original ResearchConceptsGene networksCellular adaptationCell variationSingle-cell transcriptomic studiesGene-gene correlationsUnderlying regulatory mechanismsDegree of phosphorylationPhenotypic diversityTranscriptomic studiesEnvironmental adaptationMultiple molecular parametersGene expressionRegulatory mechanismsCellular heterogeneityDistinct environmentsSingle cellsHuman macrophagesQuantitative tuningCell populationsNatural perturbationsGenesDifferent environmentsSuch variationCellsStochastic simulation analysis
2016
Robust Inference of Cell-to-Cell Expression Variations from Single- and K-Cell Profiling
Narayanan M, Martins A, Tsang J. Robust Inference of Cell-to-Cell Expression Variations from Single- and K-Cell Profiling. PLOS Computational Biology 2016, 12: e1005016. PMID: 27438699, PMCID: PMC4954693, DOI: 10.1371/journal.pcbi.1005016.Peer-Reviewed Original ResearchConceptsSingle-cell expression levelsExpression levelsNovel biological informationSingle cellsKey inflammatory genesExpression variationGene expressionCellular heterogeneityBiological informationRandom poolSingle populationHuman macrophagesBiological conditionsCell populationsGenesMultiplexed technologiesK cellsInflammatory genesCellsBiological varianceQuantifying differencesSensitive technologyContinuous variationRobust inferenceProfiling