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Deep sequencing of short capped RNAs reveals novel families of noncoding RNAs

Authors :
Michiel de Hoon
Alessandro Bonetti
Charles Plessy
Yoshinari Ando
Chung-Chau Hon
Yuri Ishizu
Masayoshi Itoh
Sachi Kato
Dongyan Lin
Sho Maekawa
Mitsuyoshi Murata
Hiromi Nishiyori
Jay W. Shin
Jens Stolte
Ana Maria Suzuki
Michihira Tagami
Hazuki Takahashi
Supat Thongjuea
Alistair R.R. Forrest
Yoshihide Hayashizaki
Juha Kere
Piero Carninci
STEMM - Stem Cells and Metabolism Research Program
Juha Kere / Principal Investigator
Research Programs Unit
Source :
Genome Research. 32:1727-1735
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

In eukaryotes, capped RNAs include long transcripts such as messenger RNAs and long noncoding RNAs, as well as shorter transcripts such as spliceosomal RNAs, small nucleolar RNAs, and enhancer RNAs. Long capped transcripts can be profiled using cap analysis gene expression (CAGE) sequencing and other methods. Here, we describe a sequencing library preparation protocol for short capped RNAs, apply it to a differentiation time course of the human cell line THP-1, and systematically compare the landscape of short capped RNAs to that of long capped RNAs. Transcription initiation peaks associated with genes in the sense direction have a strong preference to produce either long or short capped RNAs, with one out of six peaks detected in the short capped RNA libraries only. Gene-associated short capped RNAs have highly specific 3′ ends, typically overlapping splice sites. Enhancers also preferentially generate either short or long capped RNAs, with 10% of enhancers observed in the short capped RNA libraries only. Enhancers producing either short or long capped RNAs show enrichment for GWAS-associated disease SNPs. We conclude that deep sequencing of short capped RNAs reveals new families of noncoding RNAs and elucidates the diversity of transcripts generated at known and novel promoters and enhancers.

Details

ISSN :
15495469 and 10889051
Volume :
32
Database :
OpenAIRE
Journal :
Genome Research
Accession number :
edsair.doi.dedup.....b41ee2adc0c8cc9602398a74888a4ad9