Publications
bioRxiv : the preprint server for biologyJul 2023 DOI:
10.1101/2023.07.12.548718

sciMET-cap: High-throughput single-cell methylation analysis with a reduced sequencing burden

Acharya, Sonia N; Nichols, Ruth V; Rylaarsdam, Lauren E; O'Connell, Brendan L; Braun, Theodore P; Adey, Andrew C
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Variant Libraries
Abstract
DNA methylation is a key component of the mammalian epigenome, playing a regulatory role in development, disease, and other processes. Robust, high-throughput single-cell DNA methylation assays are now possible (sciMET); however, the genome-wide nature of DNA methylation results in a high sequencing burden per cell. Here, we leverage target enrichment with sciMET to capture sufficient information per cell for cell type assignment using substantially fewer sequence reads (sciMET-cap). Sufficient off-target coverage further enables the production of near-complete methylomes for individual cell types. We characterize sciMET-cap on human PBMCs and brain (middle frontal gyrus).
Product Used
Variant Libraries

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