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

Tetsutaro Hayashi; Haruka Ozaki; Yohei Sasagawa; Mana Umeda; Hiroki Danno; Itoshi Nikaido

doi:10.1038/s41467-018-02866-0

Nature Communications (Feb 2018)

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

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

Affiliations

Tetsutaro Hayashi: Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN
Haruka Ozaki: Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN
Yohei Sasagawa: Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN
Mana Umeda: Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN
Hiroki Danno: Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN
Itoshi Nikaido: Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN

DOI: https://doi.org/10.1038/s41467-018-02866-0
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 16

Abstract

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Total RNA sequencing has been used to profile poly(A) and non-poly(A) RNA expression, processing and the activity of enhancers. Here the authors develop RamDA-seq, a method for full-length total RNA sequencing in single cells.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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