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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7773192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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