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
2015
Epigenetic predisposition to reprogramming fates in somatic cells
Pour M, Pilzer I, Rosner R, Smith ZD, Meissner A, Nachman I. Epigenetic predisposition to reprogramming fates in somatic cells. EMBO Reports 2015, 16: 370-378. PMID: 25600117, PMCID: PMC4364876, DOI: 10.15252/embr.201439264.Peer-Reviewed Original ResearchConceptsSomatic cellsFactor inductionLive-cell imagingPluripotent stem cellsEpigenetic stateCell identitySuccessful reprogrammingEpigenetic heterogeneityDaughter cellsSister cellsCell lineagesCellular responsesLineagesEZH2 inhibitorsLow-efficiency processColony formationStem cellsEpigenetic predispositionReprogramPopulation levelCellsNovel statistical approachSomatic populationInductionFate