4.7 Article

Purification, full-length sequencing and genomic origin mapping of eccDNA

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NATURE PROTOCOLS
卷 18, 期 3, 页码 683-699

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NATURE PORTFOLIO
DOI: 10.1038/s41596-022-00783-7

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A new three-step eccDNA purification (3SEP) procedure is proposed to efficiently purify eccDNA with high purity. In addition, a full-length eccDNA sequencing technique is developed, along with an eccDNA caller software, for accurate identification and mapping of eccDNA. These methods will facilitate the study of eccDNA and have potential diagnostic and clinical applications.
Extrachromosomal circular DNA (eccDNA) was discovered more than half a century ago. However, its biogenesis and function have just begun to be elucidated. One hurdle that has prevented our understanding of eccDNA is the difficulty in obtaining pure eccDNA from cells. The current eccDNA purification methods mainly rely on depleting linear DNAs by exonuclease digestion after obtaining crude circles by alkaline lysis. Owing to eccDNA's low abundance and heterogeneous size, the current purification methods are not efficient in obtaining pure eccDNA. Here we describe a new three-step eccDNA purification (3SEP) procedure that adds a step to recover circular DNA, but not linear DNA that escape from the exonuclease digestion, whereby 3SEP results in eccDNA preparations with high purity and reproducibility. Additionally, we developed a full-length eccDNA sequencing technique by combining rolling-circle amplification with Nanopore sequencing. Accordingly, we developed a full-length eccDNA caller (Flec) to call the consensus sequence of multiple tandem copies of eccDNA contained within the debranched rolling-circle amplification product and map the consensus to its genomic origin. Collectively, our protocol will facilitate eccDNA identification and characterization, and has the potential for diagnostic and clinical applications. For a well-trained molecular biologist, it takes similar to 1-2 d to purify eccDNAs, another 5-6 d to carry out Nanopore library preparation and sequencing, and 1-5 d for an experienced bioinformatic scientist to analyze the data.

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