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