ArticleScientific reports2022
scSPLAT, a scalable plate-based protocol for single cell WGBS library preparation.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 23 citations in OpenAlex.
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- sciMET-cap: high-throughput single-cell methylation analysis with a reduced sequencing burden.Genome biology · 2024Article
- Paternal aging impacts expression and epigenetic markers as early as the first embryonic tissue lineage differentiation.Human genomics · 2024Article
- Advances in single-cell omics and multiomics for high-resolution molecular profiling.Experimental & molecular medicine · 2024Review
- sciMET-cap: High-throughput single-cell methylation analysis with a reduced sequencing burden.bioRxiv : the preprint server for biology · 2023Article
- In situ sequence-specific visualization of single methylated cytosine on tissue sections using ICON probe and rolling-circle amplification.Histochemistry and cell biology · 2023Article
- High-throughput robust single-cell DNA methylation profiling with sciMETv2.Nature communications · 2022Article
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8 authors at 2 institutions in 1 country.
Funding
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Abstract
DNA methylation is a central epigenetic mark that has diverse roles in gene regulation, development, and maintenance of genome integrity. 5 methyl cytosine (5mC) can be interrogated at base resolution in single cells by using bisulfite sequencing (scWGBS). Several different scWGBS strategies have been described in recent years to study DNA methylation in single cells. However, there remain limitations with respect to cost-efficiency and yield. Herein, we present a new development in the field of scWGBS library preparation; single cell Splinted Ligation Adapter Tagging (scSPLAT). scSPLAT employs a pooling strategy to facilitate sample preparation at a higher scale and throughput than previously possible. We demonstrate the accuracy and robustness of the method by generating data from 225 single K562 cells and from 309 single liver nuclei and compare scSPLAT against other scWGBS methods.
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