scTAM-seq
scTAM-seq profiles targeted single-cell DNA methylation at single-CpG resolution without bisulfite conversion to enable high-confidence analysis of methylation dynamics across thousands of individual cells.
Key Features:
- High Throughput and Precision: Profiles up to 650 CpGs across as many as 10,000 cells per experiment, providing single-CpG resolution at large cellular scale.
- Low Dropout Rate: Achieves an approximately 7% dropout rate, supporting reliable single-cell methylation calls.
- Bisulfite-Free Approach: Performs DNA methylation profiling without bisulfite conversion, avoiding biases introduced by DNA conversion.
- Resolution of Complex Biological Processes: Resolves DNA methylation dynamics across B-cell differentiation in blood and bone marrow and identifies intermediate differentiation states.
- Integration with Cell Atlas Data: Combines DNA methylation profiling with surface-protein expression data to facilitate integration with cell atlas datasets.
Scientific Applications:
- Epigenetic Research: Enables high-resolution studies of DNA methylation regulation in development, differentiation, and disease at single-CpG and single-cell levels.
- Immunology Studies: Supports detailed analysis of B-cell differentiation and epigenetic states in immunological research.
- Cellular Heterogeneity Analysis: Dissects cellular diversity in complex tissues by detecting subtle single-cell methylation differences.
Methodology:
Targeted bisulfite-free single-cell DNA methylation profiling measuring up to 650 CpGs per experiment combined with surface-protein expression analysis; reported dropout rate ~7%.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Shell
- Added:
- 12/12/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Bianchi A, Scherer M, Zaurin R, Quililan K, Velten L, Beekman R. scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells. Genome Biology. 2022;23(1). doi:10.1186/s13059-022-02796-7. PMID:36307828. PMCID:PMC9615163.
PMID: 36307828
PMCID: PMC9615163
Funding: - Spanish Ministry of Science and Innovation: PRE2019-087574, RTI2018-096359-A-I00
- European Hematology Association: Advanced research grant