Evidence map›Paper›PMID 36655987›Full record

ArticleeLife2023

RNA sequence to structure analysis from comprehensive pairwise mutagenesis of multiple self-cleaving ribozymes.

Jessica M Roberts, James D Beck, Tanner B Pollock, Devin P Bendixsen, Eric J Hayden

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Principles ofJournal of the Royal Society, Interface · 2025
    Article
  4. Article
  5. Generating Artificial Ribozymes Using Sparse Coevolutionary Models.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jessica M RobertsBiomolecular Sciences Graduate Programs, Boise State University, Boise, United States.ORCID 0000-0003-3164-7256
James D BeckComputing PhD Program, Boise State University, Boise, United States.ORCID 0000-0002-9086-2653
Tanner B PollockDepartment of Biological Science, Boise State University, Boise, United States.
Devin P BendixsenBiomolecular Sciences Graduate Programs, Boise State University, Boise, United States.ORCID 0000-0003-0831-7646
Eric J HaydenBiomolecular Sciences Graduate Programs, Boise State University, Boise, United States.ORCID 0000-0001-6078-5418
Boise State University · US

Funding

NASA 80NSSC17K0738
6 · The paper itself

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.

Indexed as

RNA, CatalyticBase SequenceMutagenesisNucleic Acid ConformationNucleotidesRNANucleotidesRNARNA, Catalyticbiochemistrychemical biologyepistasisfitness landscapegenotype to phenotypemolecular biophysicsnoneribozymeRNAsequence to functionstructural biology

Identifiers

PMID36655987
PMCPMC9901934
OpenAlexW4317435554

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.