Single Cell Epigenetics
Single-Cell DNA Methylation Profiling
Single-cell methylome techniques enable high-resolution mapping of epigenetic heterogeneity. Cell-to-cell methylation variation reveals cell type-specific regulatory programs and developmental trajectories.
Single-Cell Methylome Sequencing Methods
Multiple complementary approaches are now available:
- scWGBS: Genome-wide coverage. Single-base resolution across entire genome. Comprehensive methylation mapping
- snmC-seq: Genome-wide coverage. Single-base resolution from frozen tissue. Brain tissue analysis
- sciMET: Reduced representation coverage. Multiple hits per cell. Scalable, cost-effective approach
Analytical Workflow
- Sample dissection and tissue preparation
- Nuclei/cell isolation and FACS sorting
- Bisulfite conversion
- Library preparation and sequencing
- Computational analysis and clustering
- Cell type annotation
- Integration with gene expression data
Applications
- Cell type classification based on epigenetic signature
- Discovery of novel cell states during development
- Linking methylation to cell fate decisions
- Disease-associated epigenetic changes identification
- Cross-tissue methylation comparison
Ellis Bio SuperMethyl™ Kits for Single-Cell Methylome Profiling
SuperMethyl™ Max Kit – Ultra-Mild for Picogram-Level Input
Ultra-Mild Reaction Conditions preserve DNA integrity at picogram levels, minimizing fragmentation and maximizing library complexity. Uniform, Complete Conversion achieves minimal GC bias, ensuring accurate methylation calling across the genome. Superior Reproducibility reduces technical variability across cells and batches. Fully supports scWGBS, scRRBS, snmC-seq, sciMET, and combinatorial indexing workflows. Best For: Single-cell methylome profiling, ATAC-seq + methylation integration, and high-resolution cell type discovery studies.
References
- Carter B, Zhao K. The epigenetic basis of cellular heterogeneity. Nat Rev Genet. doi: 10.1038/s41576-020-00300-0.
- Tian W, Zhou J, Bartlett A, et al. Single-cell DNA methylation and 3D genome architecture in the human brain. Science. 2023. doi: 10.1126/science.adf5357.
- Liu H, Zeng Q, Zhou J, Bartlett A, et al. Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain. Nature. 2023. doi: 10.1038/s41586-023-06805-y.