Evidence map›Paper›PMID 25829176›Full record

ArticleNucleic acids research2015

High-throughput assay and engineering of self-cleaving ribozymes by sequencing.

Shungo Kobori, Yoko Nomura, Anh Miu, Yohei Yokobayashi

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.6field-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

30 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
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  6. Review
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  10. Article
  11. Synthetic Gene Circuits for Regulation of Next-Generation Cell-Based Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  12. Article
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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

4 authors at 1 institution in 2 countries.

Shungo KoboriDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Yoko NomuraDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Anh MiuDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Yohei YokobayashiDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA Nucleic Acid Chemistry and Engineering Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904 0495, Japan yoko@ucdavis.edu.
University of California, Davis · US

Funding

Genetically Encoded RNA NanomachinesR01GM099748 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YOKOBAYASHI, YOHEI · 2012 to 2014
$868k
NIGMS NIH HHS GM099748
6 · The paper itself

Abstract

Self-cleaving ribozymes are found in all domains of life and are believed to play important roles in biology. Additionally, self-cleaving ribozymes have been the subject of extensive engineering efforts for applications in synthetic biology. These studies often involve laborious assays of multiple individual variants that are either designed rationally or discovered through selection or screening. However, these assays provide only a limited view of the large sequence space relevant to the ribozyme function. Here, we report a strategy that allows quantitative characterization of greater than 1000 ribozyme variants in a single experiment. We generated a library of predefined ribozyme variants that were converted to DNA and analyzed by high-throughput sequencing. By counting the number of cleaved and uncleaved reads of every variant in the library, we obtained a complete activity profile of the ribozyme pool which was used to both analyze and engineer allosteric ribozymes.

Indexed as

Allosteric RegulationGene LibraryGenetic EngineeringHEK293 CellsHigh-Throughput Nucleotide SequencingHumansRNA, CatalyticRNA CleavageSequence Analysis, DNARNA, Catalytic

Identifiers

PMID25829176
PMCPMC4513843
OpenAlexW2044067798

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.