Datasets

Title	Transcriptome-wide profiling of poly(A)-tail length, translation efficiency and mRNA stability using TED-seq, mRNA-seq, Ribo-seq and PRO-seq in ER stress conditions
Organism
Number of Samples	8
Release Date	2017/09/11 00:00
Sequencing Types
Protocol Details

Title
Authors	Woo YM,Kwak Y,Namkoong S,Kristjánsdóttir K,Lee SH,Lee JH,Kwak H
Journal	Cell reports
Publication Date	2018 Sep 25
Abstract	Post-transcriptional RNA processing is a core mechanism of gene expression control in cell stress response. The poly(A) tail influences mRNA translation and stability, but it is unclear whether there are global roles of poly(A)-tail lengths in cell stress. To address this, we developed tail-end displacement sequencing (TED-seq) for an efficient transcriptome-wide profiling of poly(A) lengths and applied it to endoplasmic reticulum (ER) stress in human cells. ER stress induced increases in the poly(A) lengths of certain mRNAs, including known ER stress regulators, XBP1, DDIT3, and HSPA5. Importantly, the mRNAs with increased poly(A) lengths are both translationally de-repressed and stabilized. Furthermore, mRNAs in stress-induced RNA granules have shorter poly(A) tails than in the cytoplasm, supporting the view that RNA processing is compartmentalized. In conclusion, TED-seq reveals that poly(A) length is dynamically regulated upon ER stress, with potential consequences for both translation and mRNA turnover. Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.
PMC
PMID	30257221
DOI

Woo et al. 2018 (PRJNA406823)