論文

査読有り
2018年12月1日

Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs

Nature Communications
  • Tetsutaro Hayashi
  • ,
  • Haruka Ozaki
  • ,
  • Yohei Sasagawa
  • ,
  • Mana Umeda
  • ,
  • Hiroki Danno
  • ,
  • Itoshi Nikaido

9
1
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41467-018-02866-0
出版者・発行元
Nature Publishing Group

Total RNA sequencing has been used to reveal poly(A) and non-poly(A) RNA expression, RNA processing and enhancer activity. To date, no method for full-length total RNA sequencing of single cells has been developed despite the potential of this technology for single-cell biology. Here we describe random displacement amplification sequencing (RamDA-seq), the first full-length total RNA-sequencing method for single cells. Compared with other methods, RamDA-seq shows high sensitivity to non-poly(A) RNA and near-complete full-length transcript coverage. Using RamDA-seq with differentiation time course samples of mouse embryonic stem cells, we reveal hundreds of dynamically regulated non-poly(A) transcripts, including histone transcripts and long noncoding RNA Neat1. Moreover, RamDA-seq profiles recursive splicing in &gt
300-kb introns. RamDA-seq also detects enhancer RNAs and their cell type-specific activity in single cells. Taken together, we demonstrate that RamDA-seq could help investigate the dynamics of gene expression, RNA-processing events and transcriptional regulation in single cells.

リンク情報
DOI
https://doi.org/10.1038/s41467-018-02866-0
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29434199
URL
https://www.nature.com/articles/s41467-018-02866-0
ID情報
  • DOI : 10.1038/s41467-018-02866-0
  • ISSN : 2041-1723
  • PubMed ID : 29434199
  • SCOPUS ID : 85042013122

エクスポート
BibTeX RIS