Related Experiment Video
Updated: Aug 4, 2026

13:47
Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
Published on: February 24, 2015
25.6K
Shortcut barcoding and early pooling for scalable multiplex single-cell reduced-representation CpG methylation
Liyao Mai1,2, Zebin Wen2, Yulong Zhang2
1Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, Guangdong Province, China.
Nucleic Acids Research
|October 23, 2023
Summary
Researchers developed multiplex scalable single-cell reduced representation bisulfite sequencing (msRRBS) for efficient DNA methylation analysis. This new method provides robust, cost-effective single-cell methylation profiling, revealing cellular heterogeneity.
Area of Science:
- Epigenetics
- Genomics
- Molecular Biology
Background:
- DNA methylation is crucial for biological processes but challenging to analyze at the single-cell level.
- Existing technologies lack efficiency and robustness for routine single-cell DNA methylation studies.
Purpose of the Study:
- To develop a highly efficient and scalable single-cell technology for DNA methylation analysis.
- To enable robust characterization of methylation patterns and cellular heterogeneity.
Main Methods:
- Developed multiplex scalable single-cell reduced representation bisulfite sequencing (msRRBS).
- msRRBS involves pooling cell-specific barcoded DNA fragments before bisulfite conversion.
- The method avoids enzymatic modification or physical capture of DNA ends.
Main Results:
- Achieved high read mapping rates (62.5 ± 3.9%) and coverage of CpG islands (60.0 ± 1.4%) and promoters (71.6 ± 1.6%).
- Demonstrated high reproducibility in bulk cell duplicates (R = 0.97-0.99).
- Provided consistent coverage with low clean reads (1 Mb), outperforming conventional methods in cost and efficiency.
Conclusions:
- msRRBS is a unique, highly efficient approach for dissecting methylation heterogeneity.
- The method requires only 4 hours of hands-on time.
- Applicable to diverse multicellular systems, including cell lines and cancer models.

