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Single-cell genome sequencing of human cells on third-generation sequencing platform

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NIAID Data Ecosystem2026-03-12 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP266436
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We presented a novel method Smile-seq for single-cell genome analysis based on SMRT sequencing technology, which enabled accurate SV detection by taking advantages of long high-fidelity reads. As other scWGS methods, we can obtain the CNV and SNV information.And we are excited that Smile-seq offers a way to investigate ecDNAs at single cell level, a new type of SVs identified recently. A single transposition event on a single ecDNA molecule allows us to amplify the full length ecDNA. And when the ecDNA is relatively short (generally no more than 10kb), a single sequencing read will recover its full-length sequence.
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2021-06-25
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