Communications Biology · 2021 · 27 citations · 34 references
Life SciencesBioinformaticsMolecular BiologyEpigeneticsEpigenomicsGenomicsDna Methylation ProfilingEpigenomic Data AnalysisEpigenomic ProfilingSingle-cell AnalysisSingle-cell EpigenomicsSingle-cell GenomicsCell-to-cell HeterogeneityDna Methylation PatternsSingle-cell Bisulfite SequencingSingle-cell Dna MethylationSingle-cell Dna Methylation ProfilingSingle-cell Methylation AnalysisSingle-nucleotide PolymorphismsSingle-nucleotide Variants
Single-cell multi-omics are powerful means to study cell-to-cell heterogeneity. Here, we present a single-tube, bisulfite-free method for the simultaneous, genome-wide analysis of DNA methylation and genetic variants in single cells: epigenomics and genomics of single cells analyzed by restriction (epi-gSCAR). By applying this method, we obtained DNA methylation measurements of up to 506,063 CpGs and up to 1,244,188 single-nucleotide variants from single acute myeloid leukemia-derived cells. We demonstrate that epi-gSCAR generates accurate and reproducible measurements of DNA methylation and allows to differentiate between cell lines based on the DNA methylation and genetic profiles.
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