bioRxivSystems BiologyPreprint
Regulatory start-stop elements in 5' untranslated regions pervasively modulate translation
Justin RendlemaniD, Solomon A. HaizeliD, Shaohuan WuiD, Junjie LiuiD, Xinyi Ge, Huijing Zou, Mahabub Pasha MohammadiD, Matthew PressleriD, Shuvadeep MaityiD, Vladislava HronováiD, Zhaofeng GaoiD, Anna HerrmannováiD, Amy Lei, Kristina AllgoeweriD, Daniel SultanoviD, Will Edward HinckleyiD, Ziyue Cheng, Lauren Shelby, Krzysztof J. SzkopiD, Ivan TopisirovićiD, Ola Segnestam LarssoniD, Maria HatzoglouiD, Leoš Shivaya ValášekiD, Christine VogeliD
- Citations
- 6
Abstract
Sequence elements within the 5 untranslated region (UTR) of eukaryotic genes, e.g. upstream open reading frames (uORFs), control translation of eukaryotic genes. We describe an element consisting of a start codon immediately followed by a stop codon which is distinct from uORFs in the lack of an elongation step. Start-stops have been described for specific cases, but their widespread impact has been overlooked. Start-stop elements occur in the 5UTR of 1, 417 human genes and are more often occupied with a ribosome than canonical uORFs or control sequences. Start-stops efficiently halt ribosomes without evidence for accelerated RNA turnover, therefore acting as a barrier for the scanning of the small ribosomal subunit and repressing downstream translation. Our results suggest a model by which the ribosome undergoes repeated cycles of termination and partial ribosomal recycling, during which the large subunit detaches, but the 40S subunit with the Met-tRNAiMet remains associated with the mRNA to be rejoined by the 60S subunit. Start-stop elements occur in many transcription factors and signaling genes, and affect cellular fate via different routes. We investigate the start-stop element in several genes, i.e. MORF4L1, SLC39A1, and PSPC1, and in more detail in ATF4.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
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