Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq).

Details

Ressource 1Download: BIB_C29EE3009EC0.P001.pdf (1022.21 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_C29EE3009EC0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Extension of human lncRNA transcripts by RACE coupled with long-read high-throughput sequencing (RACE-Seq).
Journal
Nature Communications
Author(s)
Lagarde J., Uszczynska-Ratajczak B., Santoyo-Lopez J., Gonzalez J.M., Tapanari E., Mudge J.M., Steward C.A., Wilming L., Tanzer A., Howald C., Chrast J., Vela-Boza A., Rueda A., Lopez-Domingo F.J., Dopazo J., Reymond A., Guigó R., Harrow J.
ISSN
2041-1723 (Electronic)
ISSN-L
2041-1723
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
7
Pages
12339
Language
english
Abstract
Long non-coding RNAs (lncRNAs) constitute a large, yet mostly uncharacterized fraction of the mammalian transcriptome. Such characterization requires a comprehensive, high-quality annotation of their gene structure and boundaries, which is currently lacking. Here we describe RACE-Seq, an experimental workflow designed to address this based on RACE (rapid amplification of cDNA ends) and long-read RNA sequencing. We apply RACE-Seq to 398 human lncRNA genes in seven tissues, leading to the discovery of 2,556 on-target, novel transcripts. About 60% of the targeted loci are extended in either 5' or 3', often reaching genomic hallmarks of gene boundaries. Analysis of the novel transcripts suggests that lncRNAs are as long, have as many exons and undergo as much alternative splicing as protein-coding genes, contrary to current assumptions. Overall, we show that RACE-Seq is an effective tool to annotate an organism's deep transcriptome, and compares favourably to other targeted sequencing techniques.
Pubmed
Web of science
Open Access
Yes
Create date
15/09/2016 20:25
Last modification date
20/08/2019 16:37
Usage data