ArticleeLife2023
RNA sequence to structure analysis from comprehensive pairwise mutagenesis of multiple self-cleaving ribozymes.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Exploring the space of self-reproducing ribozymes using generative models.Nature communications · 2025Article
- Prevention of ribozyme catalysis through cDNA synthesis enables accurate RT-qPCR measurements of context-dependent ribozyme activity.RNA (New York, N.Y.) · 2025Article
- Principles ofJournal of the Royal Society, Interface · 2025Article
- CHiTA: A scarless high-throughput pipeline for characterization of ribozymes.Methods (San Diego, Calif.) · 2025Article
- Generating Artificial Ribozymes Using Sparse Coevolutionary Models.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Direct testing of natural twister ribozymes from over a thousand organisms reveals a broad tolerance for structural imperfections.Nucleic acids research · 2024Article
- Optimized periphery-core interface increases fitness of the Bacillus subtilis glmS ribozyme.Nucleic acids research · 2024Article
- Identification of HDV-like theta ribozymes involved in tRNA-based recoding of gut bacteriophages.Nature communications · 2024Article
- Association between periodontal disease and atherosclerosis: a bibliometric analysis.Frontiers in cardiovascular medicine · 2024Article
- Article
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Authors and funding
5 authors at 1 institution in 1 country.
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Abstract
Self-cleaving ribozymes are RNA molecules that catalyze the cleavage of their own phosphodiester backbones. These ribozymes are found in all domains of life and are also a tool for biotechnical and synthetic biology applications. Self-cleaving ribozymes are also an important model of sequence-to-function relationships for RNA because their small size simplifies synthesis of genetic variants and self-cleaving activity is an accessible readout of the functional consequence of the mutation. Here, we used a high-throughput experimental approach to determine the relative activity for every possible single and double mutant of five self-cleaving ribozymes. From this data, we comprehensively identified non-additive effects between pairs of mutations (epistasis) for all five ribozymes. We analyzed how changes in activity and trends in epistasis map to the ribozyme structures. The variety of structures studied provided opportunities to observe several examples of common structural elements, and the data was collected under identical experimental conditions to enable direct comparison. Heatmap-based visualization of the data revealed patterns indicating structural features of the ribozymes including paired regions, unpaired loops, non-canonical structures, and tertiary structural contacts. The data also revealed signatures of functionally critical nucleotides involved in catalysis. The results demonstrate that the data sets provide structural information similar to chemical or enzymatic probing experiments, but with additional quantitative functional information. The large-scale data sets can be used for models predicting structure and function and for efforts to engineer self-cleaving ribozymes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.