Related Experiment Video
Updated: Jun 4, 2025
08:38
Targeted DNA Methylation Analysis by Next-generation Sequencing
Published on: February 24, 2015
37.0K
Atlas-scale single-cell DNA methylation profiling with sciMETv3.
Ruth V Nichols1, Lauren E Rylaarsdam1, Brendan L O'Connell2
1Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR, USA.
Cell Genomics
|December 25, 2024
Summary
sciMETv3 is a new single-cell DNA methylation method that dramatically increases throughput, enabling large-scale atlases. This technique integrates with capture methods and enzymatic conversion for enhanced data and introduces sciMET+ATAC for combined epigenomic analysis.
Area of Science:
- Epigenetics and Genomics
- Single-cell Biology
- Computational Biology
Background:
- Current single-cell DNA methylation assays face limitations in cell throughput, hindering the creation of large-scale datasets.
- Existing methods often require significant automation, time, and resources, posing a barrier to comprehensive epigenomic studies.
Purpose of the Study:
- To introduce sciMETv3, a novel combinatorial indexing-based technique for high-throughput single-cell DNA methylation analysis.
- To demonstrate the scalability and efficiency of sciMETv3 for generating atlas-scale single-cell epigenomic libraries.
- To present sciMET+ATAC, a method for simultaneously profiling DNA methylation and chromatin accessibility at single-cell resolution.
Main Methods:
- Development and application of sciMETv3, a combinatorial indexing technique for single-cell DNA methylation profiling.
- Integration of capture techniques to enrich for regulatory regions, reducing sequencing burden.
- Utilization of enzymatic conversion to enhance library diversity and data quality.
- Development of sciMET+ATAC for simultaneous measurement of DNA methylation and chromatin accessibility.
Main Results:
- Successfully generated a single-cell DNA methylation library from over 140,000 cells from human middle frontal gyrus across four multiplexed individuals.
- Demonstrated compatibility of sciMETv3 with both Illumina and Ultima sequencing platforms.
- Showcased the ability to combine DNA methylation with chromatin accessibility profiling using sciMET+ATAC.
Conclusions:
- sciMETv3 significantly advances high-throughput single-cell DNA methylation analysis, enabling the creation of large-scale epigenomic atlases.
- The integration of capture techniques and enzymatic conversion optimizes library preparation and sequencing efficiency.
- sciMET+ATAC provides a powerful tool for dissecting the interplay between DNA methylation and chromatin accessibility in single cells.
