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scSPLAT, a scalable plate-based protocol for single cell WGBS library preparation
Amanda Raine1, Anders Lundmark2, Alva Annett2
1Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden. Amanda.Raine@medsci.uu.se.
Scientific Reports
|April 7, 2022
Summary
We developed single-cell Splinted Ligation Adapter Tagging (scSPLAT), a cost-effective method for DNA methylation analysis. This technique enhances scalability and throughput for whole-genome bisulfite sequencing (scWGBS) in single cells.
Area of Science:
- Epigenetics
- Genomics
- Molecular Biology
Background:
- DNA methylation is a crucial epigenetic modification regulating gene expression, development, and genome stability.
- Single-cell whole-genome bisulfite sequencing (scWGBS) enables base-resolution interrogation of 5-methylcytosine (5mC) in individual cells.
- Existing scWGBS methods face challenges in cost-efficiency and scalability.
Purpose of the Study:
- To introduce a novel, scalable, and cost-effective library preparation method for scWGBS.
- To improve the throughput of single-cell DNA methylation analysis.
- To validate the accuracy and robustness of the new method.
Main Methods:
- Development of single-cell Splinted Ligation Adapter Tagging (scSPLAT) for scWGBS library preparation.
- Implementation of a pooling strategy to enhance sample preparation scale and throughput.
- Generation of scWGBS data from 225 single K562 cells and 309 single liver nuclei.
Main Results:
- scSPLAT demonstrates accuracy and robustness in DNA methylation profiling at single-cell resolution.
- The method facilitates higher scale and throughput compared to previous scWGBS strategies.
- Comparative analysis validates scSPLAT's performance against existing scWGBS techniques.
Conclusions:
- scSPLAT represents a significant advancement in scWGBS library preparation, addressing limitations in cost and yield.
- The method enables large-scale, high-throughput DNA methylation analysis in single cells.
- scSPLAT is a valuable tool for studying epigenetic heterogeneity and dynamics in biological systems.