Dataset Information

RNA G-quadruplexes mark repressive upstream open reading frames in human mRNAs

ABSTRACT: Translational control is a key determinant of protein abundance, which in turns defines the physiology and pathology of human cells. Initiation of translation is highly regulated in eukaryotes and is considered as the rate-limiting step of protein synthesis. mRNA secondary structures in 5’ untranslated region (UTR) and associated helicases have been characterised as key determinants of translation initiation. Nevertheless the transcriptome-wide contribution of non-canonical secondary structures, such as RNA G-quadruplexes (rG4s), to the translation of human mRNAs remains largely unappreciated. Here we use a ribosome profiling strategy to investigate the translational landscape associated to rG4s-containing mRNAs and the contribution of two rG4s-specialised DExH-box helicases, DHX9 and DHX36, to translation initiation in human cells. We show that rG4-forming sequences in 5’-UTR is associated with decreased translation efficiency which correlate with an increased ribosome density within the 5’-UTRs. We found that rG4s contribute to the translation of upstream open reading frames, and as a consequence, thwart the translation of the associated protein coding sequences (CDS). Depletion of the DHX36 and DHX9 helicases demonstrated that the formation of the rG4 structural motif rather than its nucleotide sequence mediate translation initiation. Our findings unveil a role for non-canonical structures in defining alternative 5’ starts for human mRNAs translation initiation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE105082 | GEO | 2018/04/30

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:RNA structures are of crucial importance for biological function and gene regulation. Guanine (G)-rich sequences in RNA can assemble to form RNA G-quadruplex (rG4) structures; specific rG4s have been shown to regulate gene expression, and are associated with human diseases. However, no transcriptome-wide method has been reported to map rG4s, limiting our understanding of the rG4 structure and its relationship with function and regulation. Here we introduce a transcriptome-wide rG4 profiling method, rG4-Seq, in which the rG4-mediated reverse transcriptase stalling is read out by next-generation sequencing at nucleotide resolution. We apply this method to human RNA and report the first global map of rG4 structures for any organism. Our analysis identifies over 3,000 rG4s, and increases to over 11,000 upon addition of a rG4 stabilizing ligand Pyridostatin (PDS). Notably, we discover that besides canonical rG4s, many rG4s are non-canonical with novel structural features such as long-loops, bulges, and 2-quartet. We also find that rG4 formation is associated with its stability, Cytosine (C)-content, and the stability of alternative RNA structures. Our data reveals that rG4s can be found in messenger RNAs (mRNAs) and long intergenic noncoding RNAs (lincRNAs). In mRNAs, rG4s are enriched in untranslated regions, and are significantly correlated with microRNA target sites and polyadenylation signals. Remarkably, we found that majority of our in vitro identified rG4s can change the in silico predicted RNA structure to uncover alternative RNA conformation.. Futhermore, the rG4s that have analogues in many ortholog genes across different species show a preferential association with RNA processing and stability. rG4-seq is a broadly applicable method that enables the RNA G4 structurome and its biological roles to be interrogated and can be readily applied in other organisms on a transcriptome-wide scale. 12 samples, 150 bp single-ended RNA-Seq libraries from cell extracts after performing RTS reaction in different buffers (Li, K and K+PDS rich buffer). Each of the 3 conditions has 4 libraries from independent biological replicates.

Project description:DEAD-box RNA helicases eIF4A and Ded1 are believed to promote translation initiation by resolving mRNA secondary structures that impede ribosome attachment at the mRNA 5’ end or subsequent scanning of the 5’UTR, but whether they perform distinct functions or act redundantly in vivo is poorly understood. We compared the effects of mutations in Ded1 or eIF4A on global translational efficiencies (TEs) in yeast by ribosome footprint profiling. Despite similar reductions in bulk translation, inactivation of a cold-sensitive Ded1 mutant substantially reduced the TEs of >600 mRNAs, whereas inactivation of a temperature-sensitive eIF4A mutant yielded <40 similarly impaired mRNAs. The broader requirement for Ded1 did not reflect more pervasive secondary structures at low temperature, as inactivation of temperature-sensitive and cold-sensitive ded1 mutants gave highly correlated results. Interestingly, Ded1-dependent mRNAs exhibit greater than average 5’UTR length and propensity for secondary structure, implicating Ded1 in scanning though structured 5' UTRs. Reporter assays confirmed that cap- distal stem-loop insertions increase dependence on Ded1 but not eIF4A for efficient translation. While only a small fraction of mRNAs is strongly dependent on eIF4A, this dependence is significantly correlated with requirements for Ded1 and 5’UTR features characteristic of Ded1- dependent mRNAs. Our findings suggest that Ded1 is critically required to promote scanning through secondary structures within 5’UTRs; and while eIF4A cooperates with Ded1 in this function, it also promotes a step of initiation common to virtually all yeast mRNAs. We compared the effects of mutations in Ded1 or eIF4A on global translational efficiencies (TEs) in yeast by ribosome footprint profiling.The study includes 32 samples, comprised of 16 mRNA-Seq samples and 16 ribosome footprint profiling samples, derived from biological replicates of 3 mutant strains, ded1-cs, ded1-ts and tif1-ts, and the corresponding wild-type strains. The tif1-ts mutant and its wild-type counterpart were analyzed at 30°C and 37°C.

Dataset Information

RNA G-quadruplexes mark repressive upstream open reading frames in human mRNAs

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure