作者
Jiayuan Zhang,Yuning Zhang,Lele Wang,Fei Guo,Quanxin Yun,Tao Zeng,Yan Xu,Lei Yu,Lei Cheng,Wei Wu,Xiao Wei Shi,Junyi Chen,Yuhui Sun,H. J. Yang,Rongrong Guo,Xian‐Da Zhang,Liu’er Kong,Zong’an Wang,Junlei Yao,Yangsheng Tan,Liuxin Shi,Zhentao Zhao,Zhongwang Feng,Xiaopeng Yu,Chuang Li,Zhan Wu,Yulin Ren,Fengtang Yang,Zhenjun Liu,Guangnan Fan,Weilian Zhong,Dachang Li,Lei He,Yanwei Qi,Meng Zhang,Yening Zhu,Heng Chi,Ziyu Zhao,Zhuofang Wei,Ziqi Song,Yanmei Ju,Ruijin Guo,Liang Xiao,Xiu‐Mei Lin,Liang Chen,Chentao Yang,Qiye Li,Ou Wang,Xin Jin,Ming Ni,Wenwei Zhang,Longqi Liu,Ying Gu,Jian Wang,Yuxiang Li,Xun Xu,Yuliang Dong
摘要
ABSTRACT Nanopore sequencing, a third-generation sequencing technology, has revolutionized the gene sequencing industry with its advantages of long reads, fast speed, real-time sequencing and analysis, and potential in detecting base modifications. This technology allows researchers to sequence longer DNA fragments in a single read, providing more comprehensive genomic information compared to previous methods. Nanopore sequencing operates on electrical signals generated by a nanopore embedded in a membrane separating two electrolyte-filled chambers. When single-stranded DNA (ssDNA) passes through the nanopore, it creates variations in the current that correspond to different DNA bases. By analyzing these current fluctuations with machine learning algorithms, the DNA sequence can be determined. In this study, we introduced several improvements to nanopore sequencing, including nanopore local chemistry sequencing, novel motor and pore proteins, chip design, and basecalling algorithms. Our new nanopore sequencing platform, CycloneSEQ, demonstrated long-duration sequencing (107 hours) on a single chip with high yield (>50 Gb). In human genomic DNA sequencing, CycloneSEQ was able to produce long reads with N50 33.6 kb and modal identity 97.0%. Preliminary findings on human whole-genome de novo assembly, variant calling, metagenomics sequencing, and single-cell RNA sequencing have further highlighted CycloneSEQ’s potential across different areas of genomics.