Evidence map›Paper›PMID 31212706›Full record

ArticleCells2019

A Versatile Strategy to Reduce UGA-Selenocysteine Recoding Efficiency of the Ribosome Using CRISPR-Cas9-Viral-Like-Particles Targeting Selenocysteine-tRNA

Caroline Vindry, Olivia Guillin, Philippe E Mangeot, Théophile Ohlmann, Laurent Chavatte

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. 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
1.1field-weighted citation impact, top 24% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. HAP1, a new revolutionary cell model for gene editing using CRISPR-Cas9.Frontiers in cell and developmental biology · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  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.

Caroline VindryCentre International de Recherche en Infectiologie (CIRI), 69007 Lyon, France. caroline.vindry@ens-lyon.fr.ORCID 0000-0002-2038-0288
Olivia GuillinCentre International de Recherche en Infectiologie (CIRI), 69007 Lyon, France. olivia.guillin@ens-lyon.fr.
Philippe E MangeotCentre International de Recherche en Infectiologie (CIRI), 69007 Lyon, France. philippe.mangeot@ens-lyon.fr.
Théophile OhlmannCentre International de Recherche en Infectiologie (CIRI), 69007 Lyon, France. theophile.ohlmann@ens-lyon.fr.
Laurent ChavatteCentre International de Recherche en Infectiologie (CIRI), 69007 Lyon, France. laurent.chavatte@ens-lyon.fr.ORCID 0000-0001-7696-2431
Université Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The translation of selenoprotein mRNAs involves a non-canonical ribosomal event in which an in-frame UGA is recoded as a selenocysteine (Sec) codon instead of being read as a stop codon. The recoding machinery is centered around two dedicated RNA components: The selenocysteine insertion sequence (SECIS) located in the 3' UTR of the mRNA and the selenocysteine-tRNA (Sec-tRNA

Indexed as

Base SequenceCodon, TerminatorCRISPR-Cas SystemsGene EditingHEK293 CellsHeLa CellsHumansINDEL MutationNucleic Acid ConformationRibosomesRNA, MessengerRNA, Transfer, Amino Acid-SpecificSeleniumSelenocysteineSelenoproteinsVirionCodon, TerminatorRNA, MessengerRNA, Transfer, Amino Acid-SpecificSeleniumSelenocysteineSelenoproteinstRNA, selenocysteine-CRISPR-Cas9nanobladesSECISSec-tRNA[Ser]SecseleniumselenocysteineselenoproteinUGA-recodingviral-like particles

Identifiers

PMID31212706
PMCPMC6627462
OpenAlexW2950936961

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.