Dissemin is shutting down on January 1st, 2025

Published in

Nature Research, Nature Communications, 1(6), 2015

DOI: 10.1038/ncomms8200

Links

Tools

Export citation

Search in Google Scholar

Translational regulation shapes the molecular landscape of complex disease phenotypes

Journal article published in 2015 by Sebastian Schafer ORCID, Eleonora Adami, Matthias Heinig ORCID, Katharina E. Costa Rodrigues, Katharina E. Costa Rodrigues, Franziska Kreuchwig, Jan Silhavy, Sebastiaan van Heesch ORCID, Deimante Simaite, Nikolaus Rajewsky, Edwin Cuppen ORCID, Michal Pravenec, Martin Vingron, Stuart A. Cook, Norbert Hubner
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Red circle
Postprint: archiving forbidden
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

AbstractThe extent of translational control of gene expression in mammalian tissues remains largely unknown. Here we perform genome-wide RNA sequencing and ribosome profiling in heart and liver tissues to investigate strain-specific translational regulation in the spontaneously hypertensive rat (SHR/Ola). For the most part, transcriptional variation is equally apparent at the translational level and there is limited evidence of translational buffering. Remarkably, we observe hundreds of strain-specific differences in translation, almost doubling the number of differentially expressed genes. The integration of genetic, transcriptional and translational data sets reveals distinct signatures in 3′UTR variation, RNA-binding protein motifs and miRNA expression associated with translational regulation of gene expression. We show that a large number of genes associated with heart and liver traits in human genome-wide association studies are primarily translationally regulated. Capturing interindividual differences in the translated genome will lead to new insights into the genes and regulatory pathways underlying disease phenotypes.