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scMethBank: a database for single-cell whole genome DNA methylation maps
Wenting Zong1,2,3, Hongen Kang1,2,3, Zhuang Xiong1,2,3
1National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Nucleic Acids Research
|September 27, 2021
Summary
scMethBank is a new database for single-cell DNA methylation data. It offers tools to explore epigenomic heterogeneity in various cell types and diseases.
Area of Science:
- Genomics
- Epigenetics
- Bioinformatics
Background:
- Single-cell bisulfite sequencing is crucial for understanding epigenomic heterogeneity in cell states.
- Massive datasets generated necessitate a centralized resource for analysis and visualization.
- Epigenetic regulation impacts key biological processes like development, differentiation, and cancer.
Purpose of the Study:
- To establish scMethBank, the first open-access database for single-cell DNA methylation data.
- To integrate, analyze, and visualize single-cell methylation data and associated metadata.
- To provide researchers with tools for exploring cell heterogeneity at the single-cell level.
Main Methods:
- Collected and curated single-cell bisulfite sequencing data from 15 public datasets.
- Integrated processed data and metadata for 8328 samples.
- Developed browse, search, visualization, and download functionalities.
Main Results:
- scMethBank currently houses data from human and mouse, covering 29 cell types and two diseases.
- The database provides access to 8328 processed single-cell samples.
- User-friendly online tools are available for data exploration.
Conclusions:
- scMethBank serves as a comprehensive resource for single-cell DNA methylation data.
- It facilitates the exploration of cell heterogeneity and epigenetic regulation.
- The platform supports researchers in utilizing whole-genome methylation data at the single-cell level.
