Featured Publications
Cell surface RNAs control neutrophil recruitment
Zhang N, Tang W, Torres L, Wang X, Ajaj Y, Zhu L, Luan Y, Zhou H, Wang Y, Zhang D, Kurbatov V, Khan S, Kumar P, Hidalgo A, Wu D, Lu J. Cell surface RNAs control neutrophil recruitment. Cell 2024, 187: 846-860.e17. PMID: 38262409, PMCID: PMC10922858, DOI: 10.1016/j.cell.2023.12.033.Peer-Reviewed Original ResearchConceptsCell surfaceMammalian homologOuter cell surfaceRNA transportGlycan modificationsMammalian cellsSID-1Cellular functionsRecruitment to inflammatory sitesGlycoRNARNAMurine neutrophilsFunctional significanceNeutrophil recruitmentNeutrophil recruitment to inflammatory sitesBiological importanceCellsNeutrophil adhesionReduced neutrophil adhesionHomologyGlycansGenesInflammatory sitesRecruitmentEndothelial cellsSingle-cell microRNA-mRNA co-sequencing reveals non-genetic heterogeneity and mechanisms of microRNA regulation
Wang N, Zheng J, Chen Z, Liu Y, Dura B, Kwak M, Xavier-Ferrucio J, Lu YC, Zhang M, Roden C, Cheng J, Krause DS, Ding Y, Fan R, Lu J. Single-cell microRNA-mRNA co-sequencing reveals non-genetic heterogeneity and mechanisms of microRNA regulation. Nature Communications 2019, 10: 95. PMID: 30626865, PMCID: PMC6327095, DOI: 10.1038/s41467-018-07981-6.Peer-Reviewed Original ResearchConceptsSame single cellMicroRNA-mRNASingle cellsGenome-scale analysisNon-genetic cellNon-genetic heterogeneityMultiple omic profilesGenomic approachesMicroRNA regulationMolecular regulationTarget mRNAsExpression variabilityCellular pathwaysRegulatory relationshipsLevels of microRNAsIntercellular heterogeneityOmics profilesIntercellular variabilityCell heterogeneityMRNA profilesMicroRNAsMRNACellsRegulationExpression
2024
Protocol for detecting glycoRNAs using metabolic labeling and northwestern blot
Li L, Zhang N, Pantoja C, Wang Y, Lu J. Protocol for detecting glycoRNAs using metabolic labeling and northwestern blot. STAR Protocols 2024, 5: 103321. PMID: 39298321, PMCID: PMC11426122, DOI: 10.1016/j.xpro.2024.103321.Peer-Reviewed Original Research
2021
Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes
Rui J, Deng S, Perdigoto AL, Ponath G, Kursawe R, Lawlor N, Sumida T, Levine-Ritterman M, Stitzel ML, Pitt D, Lu J, Herold KC. Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes. Nature Communications 2021, 12: 5074. PMID: 34417463, PMCID: PMC8379260, DOI: 10.1038/s41467-021-25367-z.Peer-Reviewed Original ResearchConceptsImmune cellsΒ-cellsNOD/SCID recipientsDiabetogenic immune cellsDiabetogenic T cellsBone marrow transplantType 1 diabetesExpression of TET2Human β-cellsIslet infiltratesSCID recipientsMarrow transplantInflammatory pathwaysTransfer of diseaseT cellsInflammatory genesImmune killingPathologic interactionsReduced expressionDiabetesInflammationTET2MiceRecipientsCells
2019
MKL1-actin pathway restricts chromatin accessibility and prevents mature pluripotency activation
Hu X, Liu ZZ, Chen X, Schulz VP, Kumar A, Hartman AA, Weinstein J, Johnston JF, Rodriguez EC, Eastman AE, Cheng J, Min L, Zhong M, Carroll C, Gallagher PG, Lu J, Schwartz M, King MC, Krause DS, Guo S. MKL1-actin pathway restricts chromatin accessibility and prevents mature pluripotency activation. Nature Communications 2019, 10: 1695. PMID: 30979898, PMCID: PMC6461646, DOI: 10.1038/s41467-019-09636-6.Peer-Reviewed Original ResearchConceptsCell fate reprogrammingChromatin accessibilityActin cytoskeletonSomatic cell reprogrammingPluripotency transcription factorsGlobal chromatin accessibilityGenomic accessibilityCytoskeleton (LINC) complexCell reprogrammingCytoskeletal genesTranscription factorsReprogrammingPluripotencyChromatinCytoskeletonMKL1Unappreciated aspectPathwayNuclear volumeNucleoskeletonSUN2CellsActivationGenesExpressionMultiplexed, Sequential Secretion Analysis of the Same Single Cells Reveals Distinct Effector Response Dynamics Dependent on the Initial Basal State
Chen Z, Lu Y, Zhang K, Xiao Y, Lu J, Fan R. Multiplexed, Sequential Secretion Analysis of the Same Single Cells Reveals Distinct Effector Response Dynamics Dependent on the Initial Basal State. Advanced Science 2019, 6: 1801361. PMID: 31065513, PMCID: PMC6498135, DOI: 10.1002/advs.201801361.Peer-Reviewed Original ResearchImmune cellsLigand lipopolysaccharideTime pointsToll-like receptor 4 ligand lipopolysaccharideBasal stateIndividual immune cellsActivation stateHuman macrophage responseEffector responsesMultiple time pointsInflammatory programSingle-cell RNA sequencingMacrophage responsePathogenic challengeSecretion assaysCell populationsSame single cellTime courseHomogeneous cell populationSecretion analysisLongitudinal trackingRNA sequencingCellsHeterogeneous responseSequential measurements
2017
Nlrp9b inflammasome restricts rotavirus infection in intestinal epithelial cells
Zhu S, Ding S, Wang P, Wei Z, Pan W, Palm NW, Yang Y, Yu H, Li HB, Wang G, Lei X, de Zoete MR, Zhao J, Zheng Y, Chen H, Zhao Y, Jurado KA, Feng N, Shan L, Kluger Y, Lu J, Abraham C, Fikrig E, Greenberg HB, Flavell RA. Nlrp9b inflammasome restricts rotavirus infection in intestinal epithelial cells. Nature 2017, 546: 667-670. PMID: 28636595, PMCID: PMC5787375, DOI: 10.1038/nature22967.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsApoptosis Regulatory ProteinsCARD Signaling Adaptor ProteinsCaspase 1DEAD-box RNA HelicasesEpithelial CellsFemaleImmunity, InnateInflammasomesInterleukin-18Intestinal MucosaIntestinesIntracellular Signaling Peptides and ProteinsMaleMiceMice, Inbred C57BLPhosphate-Binding ProteinsPyroptosisReceptors, G-Protein-CoupledRNA, Double-StrandedRotavirusRotavirus InfectionsThe cationic small molecule GW4869 is cytotoxic to high phosphatidylserine‐expressing myeloma cells
Vuckovic S, Vandyke K, Rickards DA, Winter P, Brown SHJ, Mitchell TW, Liu J, Lu J, Askenase PW, Yuriev E, Capuano B, Ramsland PA, Hill GR, Zannettino ACW, Hutchinson AT. The cationic small molecule GW4869 is cytotoxic to high phosphatidylserine‐expressing myeloma cells. British Journal Of Haematology 2017, 177: 423-440. PMID: 28211573, DOI: 10.1111/bjh.14561.Peer-Reviewed Original ResearchConceptsMyeloma cell linesMyeloma cellsMyeloma plasma cellsCell linesPlasma cellsPrimary myeloma samplesMalignant cellsMyeloma samplesGW4869Surface phosphatidylserine exposurePhosphatidylserine expressionPhosphatidylserine exposureCell surface phosphatidylserine exposureCellsBiochemical analysisCytotoxicSmall cationic moleculesIntracellular sidePhosphatidylserineCancerCell membraneSmall moleculesBrefeldin A
2016
Adenosine-to-inosine RNA editing by ADAR1 is essential for normal murine erythropoiesis
Liddicoat BJ, Hartner JC, Piskol R, Ramaswami G, Chalk AM, Kingsley PD, Sankaran VG, Wall M, Purton LE, Seeburg PH, Palis J, Orkin SH, Lu J, Li JB, Walkley CR. Adenosine-to-inosine RNA editing by ADAR1 is essential for normal murine erythropoiesis. Experimental Hematology 2016, 44: 947-963. PMID: 27373493, PMCID: PMC5035604, DOI: 10.1016/j.exphem.2016.06.250.Peer-Reviewed Original ResearchMeSH KeywordsAdenosineAdenosine DeaminaseAnimalsCluster AnalysisErythrocyte IndicesErythroid CellsErythropoiesisGene ExpressionGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Knockout TechniquesGranulocytesHematopoietic Stem Cell TransplantationInosineInterferonsMiceMicroRNAsMyelopoiesisOrgan SpecificityPhenotypeReceptors, InterferonRetroelementsRNA EditingRNA-Binding ProteinsSignal TransductionTranscription, GeneticConceptsRNA editingErythroid cellsNormal erythropoiesisHematopoietic stem/progenitorsHematopoietic cell typesInnate immune signalingStem/progenitorsEditing eventsErythroid-specific transcriptsEssential functionsImmune signalingMurine erythropoiesisADAR1Cell deathCell typesMyeloid-restricted deletionEditingRNAMicroRNA levelsErythropoiesisCellsProfound activationTranscriptsSignalingAdenosine
2014
Nonstochastic Reprogramming from a Privileged Somatic Cell State
Guo S, Zi X, Schulz VP, Cheng J, Zhong M, Koochaki SH, Megyola CM, Pan X, Heydari K, Weissman SM, Gallagher PG, Krause DS, Fan R, Lu J. Nonstochastic Reprogramming from a Privileged Somatic Cell State. Cell 2014, 156: 649-662. PMID: 24486105, PMCID: PMC4318260, DOI: 10.1016/j.cell.2014.01.020.Peer-Reviewed Original ResearchConceptsSomatic cell stateCell statesAcquisition of pluripotencyMurine hematopoietic progenitorsEndogenous Oct4Cell cycle accelerationNonstochastic mannerSomatic cellsProgeny cellsPluripotent fateYamanaka factorsCell cycleHematopoietic progenitorsP53 knockdownPluripotencyReprogrammingCycling populationFactor expressionCellsFibroblastsImportant bottleneckKnockdownProgenitorsFateExpression
2013
C/EBPα poises B cells for rapid reprogramming into induced pluripotent stem cells
Di Stefano B, Sardina JL, van Oevelen C, Collombet S, Kallin EM, Vicent GP, Lu J, Thieffry D, Beato M, Graf T. C/EBPα poises B cells for rapid reprogramming into induced pluripotent stem cells. Nature 2013, 506: 235-239. PMID: 24336202, DOI: 10.1038/nature12885.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsB-LymphocytesCCAAT-Enhancer-Binding Protein-alphaCell TransdifferentiationCells, CulturedCellular ReprogrammingChromatinCytosineDeoxyribonuclease IDioxygenasesDNA MethylationDNA-Binding ProteinsEpithelial-Mesenchymal TransitionInduced Pluripotent Stem CellsKruppel-Like Factor 4Kruppel-Like Transcription FactorsMiceOctamer Transcription Factor-3Proto-Oncogene ProteinsProto-Oncogene Proteins c-mycSOXB1 Transcription FactorsUp-RegulationConceptsInduced pluripotent stem cellsPluripotent stem cellsTranscription factors Oct4Stem cellsTET2 enzymeChromatin accessibilityPluripotency genesRapid reprogrammingEfficient reprogrammingFactors OCT4B cell precursorsReprogrammingCell precursorsCellsB cellsGenesKLF4MYCSOX2OverexpressionEnzymeExpressionActivation
2012
An In Vivo Functional Screen Uncovers miR-150-Mediated Regulation of Hematopoietic Injury Response
Adams BD, Guo S, Bai H, Guo Y, Megyola CM, Cheng J, Heydari K, Xiao C, Reddy EP, Lu J. An In Vivo Functional Screen Uncovers miR-150-Mediated Regulation of Hematopoietic Injury Response. Cell Reports 2012, 2: 1048-1060. PMID: 23084747, PMCID: PMC3487471, DOI: 10.1016/j.celrep.2012.09.014.Peer-Reviewed Original ResearchConceptsMiR-150Injury responseBone marrow transplant modelCareful clinical managementHematopoietic suppressionTransplant modelPeripheral bloodHematopoietic recoveryRecipient miceClinical managementAssociated impairmentRole of microRNAsMyeloid cellsHeterozygous knockoutProgenitor cellsClonogenic potentialMajor blood lineagesNormal tissue physiologyHematopoietic stemTissue physiologyC-MybTreatmentMicroRNAsFunction screenCells
2008
Human multipotent stromal cells from bone marrow and microRNA: Regulation of differentiation and leukemia inhibitory factor expression
Oskowitz AZ, Lu J, Penfornis P, Ylostalo J, McBride J, Flemington EK, Prockop DJ, Pochampally R. Human multipotent stromal cells from bone marrow and microRNA: Regulation of differentiation and leukemia inhibitory factor expression. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 18372-18377. PMID: 19011087, PMCID: PMC2587615, DOI: 10.1073/pnas.0809807105.Peer-Reviewed Original ResearchConceptsHuman multipotent stromal cellsMultipotent stromal cellsAdipogenic differentiationRegulation of differentiationExpression of DicerStromal cellsExpression analysisHMSC differentiationEarly transcriptsFactor expressionMiRNAsLeukemia inhibitory factor expressionOsteogenic differentiationDifferentiationBone marrowExpressionDicerDroshaCellsSilico modelsMicroRNAsMiRNATranscriptsShRNAsEnzymeMicroRNA-Mediated Control of Cell Fate in Megakaryocyte-Erythrocyte Progenitors
Lu J, Guo S, Ebert BL, Zhang H, Peng X, Bosco J, Pretz J, Schlanger R, Wang JY, Mak RH, Dombkowski DM, Preffer FI, Scadden DT, Golub TR. MicroRNA-Mediated Control of Cell Fate in Megakaryocyte-Erythrocyte Progenitors. Developmental Cell 2008, 14: 843-853. PMID: 18539114, PMCID: PMC2688789, DOI: 10.1016/j.devcel.2008.03.012.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntigens, CD34Bone Marrow CellsCell DifferentiationCell LineageCells, CulturedErythroid CellsErythropoietinGene Expression RegulationGenes, ReporterHematopoietic Stem CellsHumansIntegrin beta3K562 CellsMegakaryocytesMiceMice, Inbred C57BLMicroRNAsModels, BiologicalPlatelet Membrane Glycoprotein IIbProto-Oncogene Proteins c-mybThrombopoietinConceptsMegakaryocyte-erythrocyte progenitorsLineage specificationTranscription factor MYBMiR-150Cell fateLineage fateRegenerative biologyErythroid cellsFunction experimentsMultipotent cellsMegakaryocytic lineageMiRNA expressionPrimary cellsCritical targetModel systemMicroRNAsProgenitorsFateRegulationCellsImportant participantsMYBLineagesMiRNAsBiology
2001
Roads to polyploidy: The megakaryocyte example
Ravid K, Lu J, Zimmet JM, Jones MR. Roads to polyploidy: The megakaryocyte example. Journal Of Cellular Physiology 2001, 190: 7-20. PMID: 11807806, DOI: 10.1002/jcp.10035.Peer-Reviewed Original ResearchConceptsCell cycleHigher ploidyHaploid chromosome numberGroup of genesEndomitotic cell cycleChromosome numberMammalian cellsCell physiologyDifferent cell cyclesAnaphase BS phaseMultiple copiesCell typesPlatelet precursorsPolyploidyGenesMegakaryocytesPloidyPolyploidizationCytokinesisInsectsCellsMitosisPlantsPhysiology