High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing

被引:29
|
作者
Shi, Zhuo-Xing [1 ]
Chen, Zhi-Chao [2 ]
Zhong, Jia-Yong [1 ]
Hu, Kun-Hua [3 ]
Zheng, Ying-Feng [1 ]
Chen, Ying [1 ]
Xie, Shang-Qian [4 ]
Bo, Xiao-Chen [5 ]
Luo, Feng [6 ]
Tang, Chong [7 ]
Xiao, Chuan-Le [1 ]
Liu, Yi-Zhi [1 ,8 ]
机构
[1] Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangdong Prov Key Lab Ophthalmol & Visual Sci, Guangzhou 510060, Peoples R China
[2] Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 3, Guangdong Key Lab Liver Dis Res, Guangzhou 510630, Peoples R China
[4] Hainan Univ, Coll Forestry, Key Lab Genet & Germplasm Innovat Trop Special Fo, Minist Educ, Haikou 570228, Peoples R China
[5] Beijing Inst Radiat Med, Beijing, Peoples R China
[6] Clemson Univ, Sch Comp, Clemson, SC 29634 USA
[7] BGI Shenzhen, BGI Genom, Shenzhen, Peoples R China
[8] Chinese Acad Med Sci, Res Unit Ocular Dev & Regenerat, Beijing, Peoples R China
基金
美国食品与农业研究所; 美国国家科学基金会; 中国国家自然科学基金;
关键词
EXPRESSION;
D O I
10.1038/s41467-023-38324-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Long-read single-cell RNA isoform sequencing can elucidate the intricate landscape of alternative RNA splicing in individual cells, but it suffers from a low read throughput. Here, the authors develop circular consensus sequencing methods to allow high-throughput and high-accuracy single-cell RNA isoform sequencing. Although long-read single-cell RNA isoform sequencing (scISO-Seq) can reveal alternative RNA splicing in individual cells, it suffers from a low read throughput. Here, we introduce HIT-scISOseq, a method that removes most artifact cDNAs and concatenates multiple cDNAs for PacBio circular consensus sequencing (CCS) to achieve high-throughput and high-accuracy single-cell RNA isoform sequencing. HIT-scISOseq can yield >10 million high-accuracy long-reads in a single PacBio Sequel II SMRT Cell 8M. We also report the development of scISA-Tools that demultiplex HIT-scISOseq concatenated reads into single-cell cDNA reads with >99.99% accuracy and specificity. We apply HIT-scISOseq to characterize the transcriptomes of 3375 corneal limbus cells and reveal cell-type-specific isoform expression in them. HIT-scISOseq is a high-throughput, high-accuracy, technically accessible method and it can accelerate the burgeoning field of long-read single-cell transcriptomics.
引用
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页数:13
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