Evidence map›Paper›PMID 19535460›Full record

ArticleRNA (New York, N.Y.)2009

A homogeneous cell-based bicistronic fluorescence assay for high-throughput identification of drugs that perturb viral gene recoding and read-through of nonsense stop codons.

Tony S Cardno, Elizabeth S Poole, Suneeth F Mathew, Ryan Graves, Warren P Tate

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Cell therapy in dermatology.Cold Spring Harbor perspectives in medicine · 2014
    Review
  12. Targeting frameshifting in the human immunodeficiency virus.Expert opinion on therapeutic targets · 2012
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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.

Tony S CardnoDepartment of Biochemistry, University of Otago, Dunedin 9054, New Zealand.
Elizabeth S Poole
Suneeth F Mathew
Ryan Graves
Warren P Tate

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recoding mechanisms are programmed protein synthesis events used commonly by viruses but only very rarely in cells for cellular gene expression. For example, HIV-1 has an absolute reliance on frameshifting to produce the correct ratio of key proteins critical for infectivity. To exploit such recoding sites as therapeutic targets, a simple homogeneous assay capable of detecting small perturbations in these low-frequency (<5%) events is required. Current assays based on dual luciferase reporters use expensive substrates and are labor-intensive, both impediments for high-throughput screening. We have developed a cell-based bifluorophore assay able to measure accurately small recoding changes (<0.1%) with a high Z'-factor in 24- or 96-well formats that could be extended to 384 wells. In cases of nonsense mutations arising within coding regions of genes, the assay is suitable for assessing the potential of screened compounds to increase read-through at these nonprogrammed stop signals of variable termination efficiency.

Indexed as

AnimalsBase SequenceCell LineChlorocebus aethiopsCodon, NonsenseCOS CellsFluorescent DyesFrameshifting, RibosomalGenesGenes, ReporterGenes, ViralGreen Fluorescent ProteinsHIV-1HumansLuminescent ProteinsMicrobial Sensitivity TestsCodon, Nonsenseenhanced green fluorescent proteinFluorescent DyesGreen Fluorescent ProteinsLuminescent ProteinsRed Fluorescent ProteinRNA, Viral

Identifiers

PMID19535460
PMCPMC2714747

What OpenQuestion holds

Textmetadata
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.