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Cell & BioscienceGenomicsPeer-reviewed journal article

Single-cell DNA methylation sequencing by combinatorial indexing and enzymatic DNA methylation conversion.

Zac ChattertoniD, Praves LamichhaneiD, Diba Ahmadi Rastegar, Lauren Fitzpatrick, Hélène LebhariD, Christopher Peter MarquisiD, Glenda Margaret HallidayiD, John B. KwokiD

PDFDOIPreprint

Abstract

DNA methylation is a critical molecular mark involved in cellular differentiation and cell-specific processes. Single-cell whole genome DNA methylation profiling methods hold great potential to resolve the DNA methylation profiles of individual cell-types. Here we present a method that couples single-cell combinatorial indexing (sci) with enzymatic conversion (sciEM) of unmethylated cytosines. The method facilitates single-base resolution DNA methylation profiling of single-cells that is highly correlated with single-cell bisulfite-based workflows (r2 >0.99) whilst improving sequencing alignment rates, reducing adapter contamination and over-estimation of DNA methylation levels (CpG and non-CpG). As proof-of-concept we perform sciEM analysis of the temporal lobe, motor cortex, hippocampus and cerebellum of the human brain to resolve single-cell DNA methylation of all major cell-types.

Citations
29
FWCI
2.58
Field percentile
top 9%

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