1. Single-cell DNA methylation sequencing by combinatorial indexing and enzymatic DNA methylation conversion
- Author
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Zac Chatterton, Praves Lamichhane, Diba Ahmadi Rastegar, Lauren Fitzpatrick, Hélène Lebhar, Christopher Marquis, Glenda Halliday, and John B. Kwok
- Subjects
Epigenetics ,DNA methylation ,Single-cell ,Brain ,APOBEC ,Biotechnology ,TP248.13-248.65 ,Biology (General) ,QH301-705.5 ,Biochemistry ,QD415-436 - Abstract
Abstract Background 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. Results The sciEM method facilitates 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. Conclusion To our knowledge sciEM represents the first non-bisulfite single-cell DNA methylation sequencing approach with single-base resolution.
- Published
- 2023
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