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
2011
Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling
Gu H, Smith ZD, Bock C, Boyle P, Gnirke A, Meissner A. Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling. Nature Protocols 2011, 6: 468-481. PMID: 21412275, DOI: 10.1038/nprot.2010.190.Peer-Reviewed Original ResearchConceptsSingle-nucleotide resolutionGenome-scale DNA methylation profilingCpG-rich DNA fragmentsGenome-wide mappingGenome-wide scaleStandard molecular biology laboratoryMajority of promotersRelevant genomic regionsIllumina Genome AnalyzerNext-generation sequencing approachDNA methylation profilingDNA methylation measurementsRestriction enzyme MspIReduced representationMolecular biology laboratoryGenomic regionsRRBS librariesGenome AnalyzerSequencing librariesMethylation profilingSequencing approachEnzyme MspIAmount of sequencingLow input requirementsGenomic DNA