Featured Publications
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 interactionsActivated β-catenin in Foxp3+ regulatory T cells links inflammatory environments to autoimmunity
Sumida T, Lincoln MR, Ukeje CM, Rodriguez DM, Akazawa H, Noda T, Naito AT, Komuro I, Dominguez-Villar M, Hafler DA. Activated β-catenin in Foxp3+ regulatory T cells links inflammatory environments to autoimmunity. Nature Immunology 2018, 19: 1391-1402. PMID: 30374130, PMCID: PMC6240373, DOI: 10.1038/s41590-018-0236-6.Peer-Reviewed Original ResearchConceptsProstaglandin E receptor 2Regulatory T cellsTreg cellsT cellsAnti-inflammatory cytokine productionIL-10 productionPeripheral immune toleranceIL-10 expressionΒ-cateninE receptor 2Treg subpopulationsTreg phenotypeIL-10Cytokines IFNImmune toleranceTreg signatureCytokine signatureMultiple sclerosisAutoimmune diseasesCytokine productionInflammatory environmentLethal autoimmunityReceptor 2Activated β-cateninIFN
2019
High-throughput single-molecule RNA imaging analysis reveals heterogeneous responses of cardiomyocytes to hemodynamic overload
Satoh M, Nomura S, Harada M, Yamaguchi T, Ko T, Sumida T, Toko H, Naito AT, Takeda N, Tobita T, Fujita T, Ito M, Fujita K, Ishizuka M, Kariya T, Akazawa H, Kobayashi Y, Morita H, Takimoto E, Aburatani H, Komuro I. High-throughput single-molecule RNA imaging analysis reveals heterogeneous responses of cardiomyocytes to hemodynamic overload. Journal Of Molecular And Cellular Cardiology 2019, 128: 77-89. PMID: 30611794, DOI: 10.1016/j.yjmcc.2018.12.018.Peer-Reviewed Original ResearchConceptsTransverse aortic constrictionHemodynamic overloadCardiomyocyte sizeExpression levelsGene expressionHeart failure stageSingle-cell RNA sequencingSingle-molecule RNAMyosin heavy chain βSingle-cell quantitative PCRFetal gene expressionFetal gene programSingle-cell analysis methodsSingle-molecule fluorescenceHeart failureSingle-cell levelPressure overloadAortic constrictionHypertrophy stageCardiac hypertrophyIsolated cardiomyocytesMyh7 expressionTemporal regulationRNA sequencingFetal genes