2023
Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses
Ramos Zapatero M, Tong A, Opzoomer J, O'Sullivan R, Cardoso Rodriguez F, Sufi J, Vlckova P, Nattress C, Qin X, Claus J, Hochhauser D, Krishnaswamy S, Tape C. Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses. Cell 2023, 186: 5606-5619.e24. PMID: 38065081, DOI: 10.1016/j.cell.2023.11.005.Peer-Reviewed Original ResearchSingle-cell analysis reveals inflammatory interactions driving macular degeneration
Kuchroo M, DiStasio M, Song E, Calapkulu E, Zhang L, Ige M, Sheth A, Majdoubi A, Menon M, Tong A, Godavarthi A, Xing Y, Gigante S, Steach H, Huang J, Huguet G, Narain J, You K, Mourgkos G, Dhodapkar R, Hirn M, Rieck B, Wolf G, Krishnaswamy S, Hafler B. Single-cell analysis reveals inflammatory interactions driving macular degeneration. Nature Communications 2023, 14: 2589. PMID: 37147305, PMCID: PMC10162998, DOI: 10.1038/s41467-023-37025-7.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsHumansMacular DegenerationMiceNeurodegenerative DiseasesNeurogliaRetinaSingle-Cell AnalysisConceptsAge-related macular degenerationMacular degenerationNeurodegenerative diseasesNeurodegenerative conditionsLate-stage age-related macular degenerationPossible new therapeutic targetsPostmortem human retinaProgressive multiple sclerosisNew therapeutic targetsEarly phaseSingle-nucleus RNA sequencingInflammatory interactionsMultiple sclerosisInterleukin-1βDisease progressionControl retinasTherapeutic approachesGlial populationsGlial stateTherapeutic targetDisease pathogenesisRetinal diseasesAlzheimer's diseaseDiseaseHuman retina
2022
Multiscale PHATE identifies multimodal signatures of COVID-19
Kuchroo M, Huang J, Wong P, Grenier JC, Shung D, Tong A, Lucas C, Klein J, Burkhardt DB, Gigante S, Godavarthi A, Rieck B, Israelow B, Simonov M, Mao T, Oh JE, Silva J, Takahashi T, Odio CD, Casanovas-Massana A, Fournier J, Farhadian S, Dela Cruz C, Ko A, Hirn M, Wilson F, Hussin J, Wolf G, Iwasaki A, Krishnaswamy S. Multiscale PHATE identifies multimodal signatures of COVID-19. Nature Biotechnology 2022, 40: 681-691. PMID: 35228707, PMCID: PMC10015653, DOI: 10.1038/s41587-021-01186-x.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingTransposase-accessible chromatinSingle-cell sequencingRNA sequencingBiological insightsPopulation groupingsSophisticated computational toolsBiological featuresSequencingFlow cytometryComputational toolsChromatinBiomedical communityDifferent data typesCell responsesCellsPhate
2015
Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm
Zunder ER, Finck R, Behbehani GK, Amir el-AD, Krishnaswamy S, Gonzalez VD, Lorang CG, Bjornson Z, Spitzer MH, Bodenmiller B, Fantl WJ, Pe'er D, Nolan GP. Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm. Nature Protocols 2015, 10: 316-333. PMID: 25612231, PMCID: PMC4347881, DOI: 10.1038/nprot.2015.020.Peer-Reviewed Original Research
2014
Single-cell mass cytometry of TCR signaling: Amplification of small initial differences results in low ERK activation in NOD mice
Mingueneau M, Krishnaswamy S, Spitzer MH, Bendall SC, Stone EL, Hedrick SM, Pe'er D, Mathis D, Nolan GP, Benoist C. Single-cell mass cytometry of TCR signaling: Amplification of small initial differences results in low ERK activation in NOD mice. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 16466-16471. PMID: 25362052, PMCID: PMC4246343, DOI: 10.1073/pnas.1419337111.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDiabetes Mellitus, Type 1Disease Models, AnimalEnzyme ActivationExtracellular Signal-Regulated MAP KinasesGenetic VariationI-kappa B ProteinsImmune ToleranceImmunity, CellularImmunologic Deficiency SyndromesImmunologic MemoryLymph NodesLymphopoiesisMaleMAP Kinase Signaling SystemMass SpectrometryMiceMice, Inbred C57BLMice, Inbred NODMice, KnockoutMitogen-Activated Protein Kinase 1NF-KappaB Inhibitor alphaPhosphorylationProtein Processing, Post-TranslationalReceptors, Antigen, T-CellSelf ToleranceSingle-Cell AnalysisThymus GlandConceptsT cellsT cell differentiationNOD T cellsERK activationNonobese diabetic (NOD) miceMemory T cellsKO T cellsMass cytometrySingle-cell mass cytometryNOD miceDiabetic miceB6 miceControl C57BL/6Small impairmentMicePrimary deficiencyTCR signalingPhosphorylation levelsLarge defectsTCR triggeringActivationLower ERK activationImpairmentCytometryCellsConditional density-based analysis of T cell signaling in single-cell data
Krishnaswamy S, Spitzer MH, Mingueneau M, Bendall SC, Litvin O, Stone E, Pe'er D, Nolan GP. Conditional density-based analysis of T cell signaling in single-cell data. Science 2014, 346: 1250689. PMID: 25342659, PMCID: PMC4334155, DOI: 10.1126/science.1250689.Peer-Reviewed Original ResearchConceptsSingle-cell dataMitogen-activated protein kinase ERK2High-dimensional single-cell technologiesProtein kinase ERK2Single-cell technologiesNaïve cellsKinase ERK2Protein speciesCellular circuitsCell variationMolecular circuitsProteinMass cytometryAbundanceCellsCell subtypesComputational approachERK2Computational methodsSpeciesPERKCascadeFunctionT cellsPS6
2013
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
Amir el-AD, Davis KL, Tadmor MD, Simonds EF, Levine JH, Bendall SC, Shenfeld DK, Krishnaswamy S, Nolan GP, Pe'er D. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia. Nature Biotechnology 2013, 31: 545-552. PMID: 23685480, PMCID: PMC4076922, DOI: 10.1038/nbt.2594.Peer-Reviewed Original Research