Despite the transcription of noncoding RNAs in 75% of the human genome and their associations in many diseases, we know very little about them without structural clues. The centerpiece of structural clues is precise RNA base-pairing structure at the single base-pair level that currently can only be obtained from costly and inefficient 3D structure determination. Here, we performed deep mutational scanning of self-cleaving CPEB3 ribozyme by error-prone PCR and showed that a library of <5 x 10^4 single-to-triple mutants is sufficient to infer its nearly perfect base-pairing structure including non-Watson-Crick base pairs and non-nested (pseudoknot) tertiary contacts.
| Accession | PRJNA515794 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Grants | - "Developing species-specific, structure-targeting peptides as a novel class of antibiotics" (Grant ID 1121629, National Health and Medical Research Council)
- "Protein structure prediction by deep long-range learning" (Grant ID DP180102060, Australia Research Council)
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| Submission | Registration date: 18-Jan-2019
Institute for Glycomics |
| Relevance | RNA Structure |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 3 |
| Other datasets |
| BioSample | 3 |