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Landscape and variation of RNA secondary structure across the human transcriptome

GSE50676 Homo sapiens Expression profiling by high throughput sequencing; Other 18 samples Submitted 2013/12/19 Platform GPL16791Platform GPL11154
Summary
In parallel to the genetic code for protein synthesis, a second layer of information is embedded in all RNA transcripts in the form of RNA structure. The ability of RNA to base pair with itself and other nucleic acids endow RNA with the capacity to form extensive structures, which are known to influence practically every step in the gene expression program1. Yet the nature of most RNA structures or effects of sequence variation on structure are not known. Here we report the initial landscape and variation of RNA secondary structures (RSS) in a human family trio, providing a comprehensive RSS map of human coding and noncoding RNAs. We identify unique RSS signatures that demarcate open reading frames, splicing junctions, and define authentic microRNA binding sites. Comparison of native deproteinized RNA isolated from cells versus refolded purified RNA suggests that the majority of the RSS information is encoded within RNA sequence. Over one thousand transcribed single nucleotide variants (~15% of all transcribed SNVs) alter local RNA structure; these “RiboSNitches”2 occur in disease-associated variants. We discover simple sequence and spacing rules that determine the ability of point mutations to impact RSS. Selective depletion of RiboSNitches versus structurally synonymous variants at precise locations suggests selection for specific RNA shapes at thousands of sites, including 3’UTRs, binding sites of miRNAs and RNA binding proteins genome-wide. These results highlight the potentially broad contribution of RNA structure and its variation to gene regulation.
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Direct links to NCBI, no account and no request form: the whole study as GSE50676_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 18 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA218468 and SRA study SRP029656. Searching any of these in the dataset finder brings you back here.

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