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High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus 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 s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164132/ https://www.ncbi.nlm.nih.gov/pubmed/37149708 http://dx.doi.org/10.1038/s41467-023-38324-9 |
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author | Shi, Zhuo-Xing Chen, Zhi-Chao Zhong, Jia-Yong Hu, Kun-Hua Zheng, Ying-Feng Chen, Ying Xie, Shang-Qian Bo, Xiao-Chen Luo, Feng Tang, Chong Xiao, Chuan-Le Liu, Yi-Zhi |
author_facet | Shi, Zhuo-Xing Chen, Zhi-Chao Zhong, Jia-Yong Hu, Kun-Hua Zheng, Ying-Feng Chen, Ying Xie, Shang-Qian Bo, Xiao-Chen Luo, Feng Tang, Chong Xiao, Chuan-Le Liu, Yi-Zhi |
author_sort | Shi, Zhuo-Xing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10164132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101641322023-05-08 High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing Shi, Zhuo-Xing Chen, Zhi-Chao Zhong, Jia-Yong Hu, Kun-Hua Zheng, Ying-Feng Chen, Ying Xie, Shang-Qian Bo, Xiao-Chen Luo, Feng Tang, Chong Xiao, Chuan-Le Liu, Yi-Zhi Nat Commun Article 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. Nature Publishing Group UK 2023-05-06 /pmc/articles/PMC10164132/ /pubmed/37149708 http://dx.doi.org/10.1038/s41467-023-38324-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shi, Zhuo-Xing Chen, Zhi-Chao Zhong, Jia-Yong Hu, Kun-Hua Zheng, Ying-Feng Chen, Ying Xie, Shang-Qian Bo, Xiao-Chen Luo, Feng Tang, Chong Xiao, Chuan-Le Liu, Yi-Zhi High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing |
title | High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing |
title_full | High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing |
title_fullStr | High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing |
title_full_unstemmed | High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing |
title_short | High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing |
title_sort | high-throughput and high-accuracy single-cell rna isoform analysis using pacbio circular consensus sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164132/ https://www.ncbi.nlm.nih.gov/pubmed/37149708 http://dx.doi.org/10.1038/s41467-023-38324-9 |
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