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Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

The development of next generation sequencing (NGS) platform-based single-cell RNA sequencing (scRNA-seq) techniques has tremendously changed biological researches, while there are still many questions that cannot be addressed by them due to their short read lengths. We developed a novel scRNA-seq t...

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Autores principales: Fan, Xiaoying, Tang, Dong, Liao, Yuhan, Li, Pidong, Zhang, Yu, Wang, Minxia, Liang, Fan, Wang, Xiao, Gao, Yun, Wen, Lu, Wang, Depeng, Wang, Yang, Tang, Fuchou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773192/
https://www.ncbi.nlm.nih.gov/pubmed/33378329
http://dx.doi.org/10.1371/journal.pbio.3001017
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author Fan, Xiaoying
Tang, Dong
Liao, Yuhan
Li, Pidong
Zhang, Yu
Wang, Minxia
Liang, Fan
Wang, Xiao
Gao, Yun
Wen, Lu
Wang, Depeng
Wang, Yang
Tang, Fuchou
author_facet Fan, Xiaoying
Tang, Dong
Liao, Yuhan
Li, Pidong
Zhang, Yu
Wang, Minxia
Liang, Fan
Wang, Xiao
Gao, Yun
Wen, Lu
Wang, Depeng
Wang, Yang
Tang, Fuchou
author_sort Fan, Xiaoying
collection PubMed
description The development of next generation sequencing (NGS) platform-based single-cell RNA sequencing (scRNA-seq) techniques has tremendously changed biological researches, while there are still many questions that cannot be addressed by them due to their short read lengths. We developed a novel scRNA-seq technology based on third-generation sequencing (TGS) platform (single-cell amplification and sequencing of full-length RNAs by Nanopore platform, SCAN-seq). SCAN-seq exhibited high sensitivity and accuracy comparable to NGS platform-based scRNA-seq methods. Moreover, we captured thousands of unannotated transcripts of diverse types, with high verification rate by reverse transcription PCR (RT-PCR)–coupled Sanger sequencing in mouse embryonic stem cells (mESCs). Then, we used SCAN-seq to analyze the mouse preimplantation embryos. We could clearly distinguish cells at different developmental stages, and a total of 27,250 unannotated transcripts from 9,338 genes were identified, with many of which showed developmental stage-specific expression patterns. Finally, we showed that SCAN-seq exhibited high accuracy on determining allele-specific gene expression patterns within an individual cell. SCAN-seq makes a major breakthrough for single-cell transcriptome analysis field.
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spelling pubmed-77731922021-01-08 Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing Fan, Xiaoying Tang, Dong Liao, Yuhan Li, Pidong Zhang, Yu Wang, Minxia Liang, Fan Wang, Xiao Gao, Yun Wen, Lu Wang, Depeng Wang, Yang Tang, Fuchou PLoS Biol Methods and Resources The development of next generation sequencing (NGS) platform-based single-cell RNA sequencing (scRNA-seq) techniques has tremendously changed biological researches, while there are still many questions that cannot be addressed by them due to their short read lengths. We developed a novel scRNA-seq technology based on third-generation sequencing (TGS) platform (single-cell amplification and sequencing of full-length RNAs by Nanopore platform, SCAN-seq). SCAN-seq exhibited high sensitivity and accuracy comparable to NGS platform-based scRNA-seq methods. Moreover, we captured thousands of unannotated transcripts of diverse types, with high verification rate by reverse transcription PCR (RT-PCR)–coupled Sanger sequencing in mouse embryonic stem cells (mESCs). Then, we used SCAN-seq to analyze the mouse preimplantation embryos. We could clearly distinguish cells at different developmental stages, and a total of 27,250 unannotated transcripts from 9,338 genes were identified, with many of which showed developmental stage-specific expression patterns. Finally, we showed that SCAN-seq exhibited high accuracy on determining allele-specific gene expression patterns within an individual cell. SCAN-seq makes a major breakthrough for single-cell transcriptome analysis field. Public Library of Science 2020-12-30 /pmc/articles/PMC7773192/ /pubmed/33378329 http://dx.doi.org/10.1371/journal.pbio.3001017 Text en © 2020 Fan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Methods and Resources
Fan, Xiaoying
Tang, Dong
Liao, Yuhan
Li, Pidong
Zhang, Yu
Wang, Minxia
Liang, Fan
Wang, Xiao
Gao, Yun
Wen, Lu
Wang, Depeng
Wang, Yang
Tang, Fuchou
Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing
title Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing
title_full Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing
title_fullStr Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing
title_full_unstemmed Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing
title_short Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing
title_sort single-cell rna-seq analysis of mouse preimplantation embryos by third-generation sequencing
topic Methods and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773192/
https://www.ncbi.nlm.nih.gov/pubmed/33378329
http://dx.doi.org/10.1371/journal.pbio.3001017
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