Nature Communications (May 2023)

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

  • 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

DOI
https://doi.org/10.1038/s41467-023-38324-9
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 13

Abstract

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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.