2024
Autonomous transposons tune their sequences to ensure somatic suppression
Ilık İ, Glažar P, Tse K, Brändl B, Meierhofer D, Müller F, Smith Z, Aktaş T. Autonomous transposons tune their sequences to ensure somatic suppression. Nature 2024, 626: 1116-1124. PMID: 38355802, PMCID: PMC10901741, DOI: 10.1038/s41586-024-07081-0.Peer-Reviewed Original ResearchConceptsTransposable elementsSAFB proteinsPiwi-interacting RNA pathwayRNA-basedIntronic transposed elementsRNA processing signalsPre-mRNA processingIntronic spaceNested genesPostmeiotic spermatidsAutonomous transposonsDNA transposonsRNA pathwaysCassette exonsSplicing codeSplicing eventsGenome integrityTE exonizationHuman genesL1 elementsRNA synthesisHost genesTissue-specificSAFBSomatic cells
2023
Self-patterning of human stem cells into post-implantation lineages
Pedroza M, Gassaloglu S, Dias N, Zhong L, Hou T, Kretzmer H, Smith Z, Sozen B. Self-patterning of human stem cells into post-implantation lineages. Nature 2023, 622: 574-583. PMID: 37369348, PMCID: PMC10584676, DOI: 10.1038/s41586-023-06354-4.Peer-Reviewed Original ResearchConceptsStem cellsPlacental cell typesPost-implantation embryonic developmentHuman pluripotent stem cellsPluripotent stem cellsHuman embryonic developmentEmbryonic developmentHuman stem cellsCongenital pathologyPost-implantation epiblastDiverse cell statesSingle-cell transcriptomicsAmniotic ectodermExtra-embryonic endodermSpontaneous differentiationSignaling hubThree-dimensional structureSecreted modulatorsCell types
2021
Smart-RRBS for single-cell methylome and transcriptome analysis
Gu H, Raman AT, Wang X, Gaiti F, Chaligne R, Mohammad AW, Arczewska A, Smith ZD, Landau DA, Aryee MJ, Meissner A, Gnirke A. Smart-RRBS for single-cell methylome and transcriptome analysis. Nature Protocols 2021, 16: 4004-4030. PMID: 34244697, PMCID: PMC8672372, DOI: 10.1038/s41596-021-00571-9.Peer-Reviewed Original ResearchConceptsSingle cellsProtein-coding genesSingle-cell methylomesSame single cellMulti-omics approachRare cell populationsSmart-seq2Transcriptional statesDNA methylomeTranscriptome analysisImportant mechanistic insightsEpigenetic modificationsDNA methylationDissected tissue samplesGenomic DNAHundreds of cellsCellular heterogeneityFlow sortingRegulatory consequencesMethylomeEpigenetic promoterMechanistic insightsCell populationsCellsTypical single cell
2020
TETs compete with DNMT3 activity in pluripotent cells at thousands of methylated somatic enhancers
Charlton J, Jung EJ, Mattei AL, Bailly N, Liao J, Martin EJ, Giesselmann P, Brändl B, Stamenova EK, Müller FJ, Kiskinis E, Gnirke A, Smith ZD, Meissner A. TETs compete with DNMT3 activity in pluripotent cells at thousands of methylated somatic enhancers. Nature Genetics 2020, 52: 819-827. PMID: 32514123, PMCID: PMC7415576, DOI: 10.1038/s41588-020-0639-9.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCell DifferentiationCell LineDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3AEmbryonic Stem CellsEnhancer Elements, GeneticEpigenesis, GeneticGene Expression Regulation, DevelopmentalGerm LayersHumansMiceMice, KnockoutMixed Function OxygenasesPluripotent Stem CellsProto-Oncogene ProteinsConceptsPluripotent cellsHuman embryonic stem cell linesEmbryonic stem cell linesDNA methylation landscapeEpiblast stem cellsStem cell linesGlobal methylation levelsMethylation landscapeMouse ESCsMammalian cellsRegulatory sequencesDNA methylationSomatic tissuesNegative regulatorTET expressionMethylation levelsDynamic locusStem cellsCell linesLociDemethylationRegulatorEnhancerCellsTet
2019
Loss of DNA methyltransferase activity in primed human ES cells triggers increased cell-cell variability and transcriptional repression
Tsankov AM, Wadsworth MH, Akopian V, Charlton J, Allon SJ, Arczewska A, Mead BE, Drake RS, Smith ZD, Mikkelsen TS, Shalek AK, Meissner A. Loss of DNA methyltransferase activity in primed human ES cells triggers increased cell-cell variability and transcriptional repression. Development 2019, 146: dev174722. PMID: 31515224, PMCID: PMC6803377, DOI: 10.1242/dev.174722.Peer-Reviewed Original ResearchMeSH KeywordsCell CycleCell DifferentiationDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3AEnhancer Elements, GeneticEntropyGene Expression Regulation, DevelopmentalHuman Embryonic Stem CellsHumansMaleRepressor ProteinsRNA, MessengerTranscription, GeneticConceptsGlobal methylation levelsTranscriptional repressionSingle-cell RNA-sequencing dataMethylation levelsNew cell fatesMaintenance of pluripotencyHuman embryonic stem cellsMethylation of cytosineRNA-sequencing dataCell-cell variabilityStem cellsEmbryonic stem cellsHuman pluripotent stem cellsDNA methyltransferase activityMRNA expression dataPluripotent stem cellsTranscriptional variabilityMethyltransferases Dnmt3aCell fateEpigenetic regulatorsMethyltransferase DNMT3AExtrinsic signalsHigh-resolution viewMethyltransferase activityProper differentiation
2018
Targets and genomic constraints of ectopic Dnmt3b expression
Zhang Y, Charlton J, Karnik R, Beerman I, Smith ZD, Gu H, Boyle P, Mi X, Clement K, Pop R, Gnirke A, Rossi DJ, Meissner A. Targets and genomic constraints of ectopic Dnmt3b expression. ELife 2018, 7: e40757. PMID: 30468428, PMCID: PMC6251628, DOI: 10.7554/elife.40757.Peer-Reviewed Original ResearchConceptsDNA methylationCpG islandsDe novo DNA methyltransferase DNMT3BCertain CpG islandsDNA methyltransferase DNMT3BGenome-wide dataCpG island hypermethylationDifferent cell typesMammalian genomesChromatin landscapeGenomic constraintsTranscriptional statesCancer methylomeMethyltransferase DNMT3BBisulfite sequencingGenomic targetsIsland hypermethylationResponsible enzymeDNMT3B expressionAberrant methylationDNMT3BMethylationCell typesH3K27me3Essential roleGlobal delay in nascent strand DNA methylation
Charlton J, Downing TL, Smith ZD, Gu H, Clement K, Pop R, Akopian V, Klages S, Santos DP, Tsankov AM, Timmermann B, Ziller MJ, Kiskinis E, Gnirke A, Meissner A. Global delay in nascent strand DNA methylation. Nature Structural & Molecular Biology 2018, 25: 327-332. PMID: 29531288, PMCID: PMC5889353, DOI: 10.1038/s41594-018-0046-4.Peer-Reviewed Original ResearchMeSH KeywordsCell CycleCell ProliferationCpG IslandsCytosineDNADNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3ADNA ReplicationEmbryonic Stem CellsEpigenesis, GeneticGene Expression RegulationGenome, HumanHCT116 CellsHumansMaleMethylationMitosisMotor NeuronsNeoplasmsSequence Analysis, RNATranscription FactorsConceptsCytosine methylationCpG methylationGenome-wide bisulfite sequencingCis-regulatory elementsEmbryonic stem cellsCancer cell line HCT116Cell cycle arrestEpigenetic informationMammalian developmentGene regulationMitotic transmissionEpigenetic heterogeneityEpigenetic roleBisulfite sequencingCell line HCT116DNA methylationHuman cellsMethylationHeterogeneous methylationStem cellsCellsBrdU labelingPronounced lagGlobal reductionImmunoprecipitationGenetic determinants and epigenetic effects of pioneer-factor occupancy
Donaghey J, Thakurela S, Charlton J, Chen JS, Smith ZD, Gu H, Pop R, Clement K, Stamenova EK, Karnik R, Kelley DR, Gifford CA, Cacchiarelli D, Rinn JL, Gnirke A, Ziller MJ, Meissner A. Genetic determinants and epigenetic effects of pioneer-factor occupancy. Nature Genetics 2018, 50: 250-258. PMID: 29358654, PMCID: PMC6517675, DOI: 10.1038/s41588-017-0034-3.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsBinding SitesCell LineageCells, CulturedComputational BiologyDNAEpigenesis, GeneticEpistasis, GeneticGATA4 Transcription FactorGene Expression RegulationGene Regulatory NetworksGenes, SwitchHEK293 CellsHep G2 CellsHepatocyte Nuclear Factor 3-betaHumansOctamer Transcription Factor-3Protein BindingTranscription FactorsConceptsCell typesAlternative cell typesGenomic occupancyDNA accessibilityPioneer factorsDNA replicationDNA methylationDNA sequencesEpigenetic effectsGene expressionDevelopmental transitionsMolecular componentsGenetic determinantsFOXA2TF activityGATA4Specific bindingExpressionSubsequent lossOccupancyEnrichmentMethylationLociLow enrichmentBinding
2017
Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer
Smith ZD, Shi J, Gu H, Donaghey J, Clement K, Cacchiarelli D, Gnirke A, Michor F, Meissner A. Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer. Nature 2017, 549: 543-547. PMID: 28959968, PMCID: PMC5789792, DOI: 10.1038/nature23891.Peer-Reviewed Original Research
2016
Probabilistic Modeling of Reprogramming to Induced Pluripotent Stem Cells
Liu LL, Brumbaugh J, Bar-Nur O, Smith Z, Stadtfeld M, Meissner A, Hochedlinger K, Michor F. Probabilistic Modeling of Reprogramming to Induced Pluripotent Stem Cells. Cell Reports 2016, 17: 3395-3406. PMID: 28009305, PMCID: PMC5467646, DOI: 10.1016/j.celrep.2016.11.080.Peer-Reviewed Original ResearchMolecular features of cellular reprogramming and development
Smith ZD, Sindhu C, Meissner A. Molecular features of cellular reprogramming and development. Nature Reviews Molecular Cell Biology 2016, 17: 139-154. PMID: 26883001, DOI: 10.1038/nrm.2016.6.Peer-Reviewed Original ResearchConceptsKrüppel-like factor 4Pluripotent stateSRY-box 2Somatic cellsDirect reprogrammingInduced pluripotent stem cell generationDifferentiated cellsPluripotent stem cell generationCis-regulatory elementsStem cell generationAdditional molecular featuresMolecular featuresPluripotent stem cellsChromatin remodellersBivalent chromatinEpigenetic barriersDevelopmental genesCellular identityCellular reprogrammingGenetic modulesEpigenetic regulationCompact chromatinTranscriptional inductionEpigenetic repressorEpigenetic modifiers
2015
Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency
Cacchiarelli D, Trapnell C, Ziller MJ, Soumillon M, Cesana M, Karnik R, Donaghey J, Smith ZD, Ratanasirintrawoot S, Zhang X, Sui S, Wu Z, Akopian V, Gifford CA, Doench J, Rinn JL, Daley GQ, Meissner A, Lander ES, Mikkelsen TS. Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency. Cell 2015, 162: 412-424. PMID: 26186193, PMCID: PMC4511597, DOI: 10.1016/j.cell.2015.06.016.Peer-Reviewed Original ResearchConceptsInduced pluripotencyHuman cellsEmbryonic patterning genesComplementary functional analysesPre-implantation stagesPatterning genesDevelopmental regulatorsEpigenomic analysisMolecular principlesNovel regulatorFunctional analysisIntegrative analysisIntercellular heterogeneityMolecular underpinningsPluripotencyDisease modelingCell platformRegulatorCellsDistinct wavesDonor variabilityGenes
2014
DNA methylation dynamics of the human preimplantation embryo
Smith ZD, Chan MM, Humm KC, Karnik R, Mekhoubad S, Regev A, Eggan K, Meissner A. DNA methylation dynamics of the human preimplantation embryo. Nature 2014, 511: 611-615. PMID: 25079558, PMCID: PMC4178976, DOI: 10.1038/nature13581.Peer-Reviewed Original ResearchConceptsGenome-scale DNA methylationMaternal-specific methylationDNA methylation dynamicsTransposable element activityEmbryonic stem cell derivationStem cell derivationEarly human embryogenesisHuman preimplantation embryosMethylation dynamicsDNA methylationHuman embryogenesisElement activityPreimplantation embryosCell derivationUnique modeMethylationEmbryogenesisMouse modelEmbryosRegulationExpression
2013
DNA methylation: roles in mammalian development
Smith ZD, Meissner A. DNA methylation: roles in mammalian development. Nature Reviews Genetics 2013, 14: 204-220. PMID: 23400093, DOI: 10.1038/nrg3354.Peer-Reviewed Original ResearchConceptsEmbryonic stem cellsDNA methylationMammalian developmentPaternal genomeEmbryonic lineagesEpigenetic mechanismsPrimordial germ cell specificationDNA methylation erasureDNA methylation functionsKey PointsDNA methylationGerm cell specificationGermline-specific genesGlobal nuclear organizationSimilar epigenetic mechanismsTranscription factor bindingStem cellsPre-implantation stagesAdult stem cellsCpG island methylationMethylation erasureHeritable memoryMethylation functionsCell specificationCpG densityLineage specification
2012
Epigenomics and chromatin dynamics
Akopian V, Chan MM, Clement K, Galonska C, Gifford CA, Lehtola E, Liao J, Samavarchi-Tehrani P, Sindhu C, Smith ZD, Tsankov AM, Webster J, Zhang Y, Ziller MJ, Meissner A. Epigenomics and chromatin dynamics. Genome Biology 2012, 13: 313. PMID: 22364154, PMCID: PMC3334565, DOI: 10.1186/gb-2012-13-2-313.Peer-Reviewed Original ResearchGel-free multiplexed reduced representation bisulfite sequencing for large-scale DNA methylation profiling
Boyle P, Clement K, Gu H, Smith ZD, Ziller M, Fostel JL, Holmes L, Meldrim J, Kelley F, Gnirke A, Meissner A. Gel-free multiplexed reduced representation bisulfite sequencing for large-scale DNA methylation profiling. Genome Biology 2012, 13: r92. PMID: 23034176, PMCID: PMC3491420, DOI: 10.1186/gb-2012-13-10-r92.Peer-Reviewed Original Research
2011
Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines
Bock C, Kiskinis E, Verstappen G, Gu H, Boulting G, Smith ZD, Ziller M, Croft GF, Amoroso MW, Oakley DH, Gnirke A, Eggan K, Meissner A. Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines. Cell 2011, 144: 439-452. PMID: 21295703, PMCID: PMC3063454, DOI: 10.1016/j.cell.2010.12.032.Peer-Reviewed Original ResearchConceptsPluripotent cell linesEmbryonic stemPluripotent stem cellsCell linesDisease-relevant cell typesHuman iPS cell linesStem cellsReference mapHuman pluripotent stem cellsHuman embryonic stemIPS cell linesDifferentiation propensityDNA methylationIndividual cell linesHigh-throughput characterizationTranscriptional similarityGene expressionIPS cellsCell typesDifferentiation efficiencyDevelopmental potentialBiomedical researchComprehensive characterizationSpecific differencesCells
2010
Highly Efficient Reprogramming to Pluripotency and Directed Differentiation of Human Cells with Synthetic Modified mRNA
Warren L, Manos PD, Ahfeldt T, Loh YH, Li H, Lau F, Ebina W, Mandal PK, Smith ZD, Meissner A, Daley GQ, Brack AS, Collins JJ, Cowan C, Schlaeger TM, Rossi DJ. Highly Efficient Reprogramming to Pluripotency and Directed Differentiation of Human Cells with Synthetic Modified mRNA. Cell Stem Cell 2010, 7: 618-630. PMID: 20888316, PMCID: PMC3656821, DOI: 10.1016/j.stem.2010.08.012.Peer-Reviewed Original ResearchConceptsInduced pluripotent stem cellsPluripotent stem cellsCell fateMultiple human cell typesSomatic cell reprogrammingCell typesUseful cell typesStem cellsHuman cell typesPatient-specific induced pluripotent stem cellsCell reprogrammingCellular reprogrammingInnate antiviral responseDirected DifferentiationIPSC derivationHuman cellsMyogenic cellsSynthetic mRNAAntiviral responseDisease modelingReprogrammingModified mRNARegenerative medicineFateMRNAGenome-scale DNA methylation mapping of clinical samples at single-nucleotide resolution
Gu H, Bock C, Mikkelsen TS, Jäger N, Smith ZD, Tomazou E, Gnirke A, Lander ES, Meissner A. Genome-scale DNA methylation mapping of clinical samples at single-nucleotide resolution. Nature Methods 2010, 7: 133-136. PMID: 20062050, PMCID: PMC2860480, DOI: 10.1038/nmeth.1414.Peer-Reviewed Original Research
2009
High-throughput bisulfite sequencing in mammalian genomes
Smith ZD, Gu H, Bock C, Gnirke A, Meissner A. High-throughput bisulfite sequencing in mammalian genomes. Methods 2009, 48: 226-232. PMID: 19442738, PMCID: PMC2864123, DOI: 10.1016/j.ymeth.2009.05.003.Peer-Reviewed Original ResearchConceptsDNA methylationHigh-throughput bisulfite sequencingCritical epigenetic markCpG-dense regionsGenome-wide distributionArray-based technologiesMammalian genomesEpigenetic marksMammalian developmentGenomic regionsRRBS librariesBisulfite sequencingMethylome profilingSequencing librariesRRBS librarySequence analysisMethylationRestriction digestionSequencingGenomeLibraryRelative coverageMspIProfilingSample throughput