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

Authors :
Zhuo-Xing Shi
Zhi-Chao Chen
Jia-Yong Zhong
Kun-Hua Hu
Ying-Feng Zheng
Ying Chen
Shang-Qian Xie
Xiao-Chen Bo
Feng Luo
Chong Tang
Chuan-Le Xiao
Yi-Zhi Liu
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract 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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.59b8c6b1b4d94ff0b107573a266dbe7f
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-38324-9