Evidence map›Paper›PMID 16957278›Full record

ReviewRNA (New York, N.Y.)2006

Searching for IRES.

Stephen D Baird, Marcel Turcotte, Robert G Korneluk, Martin Holcik

Abstract readReview
In one paragraph

Review in RNA (New York, N.Y.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 1 pooled it
–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

166 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Mammalian Polycistronic mRNAs and Disease.Trends in genetics : TIG · 2017
    Pooled it
  2. Article
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  4. Review
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  6. Review
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  13. Review
  14. Synthetic polycistronic sequences in eukaryotes.Synthetic and systems biotechnology · 2021
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

106 more citing papers are in PubMed but not listed here.

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.

Stephen D BairdDepartment of Biochemistry, Microbiology and Immunology, University of Ottawa, Ontario K1H 8M5, Canada.
Marcel Turcotte
Robert G Korneluk
Martin Holcik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell has many ways to regulate the production of proteins. One mechanism is through the changes to the machinery of translation initiation. These alterations favor the translation of one subset of mRNAs over another. It was first shown that internal ribosome entry sites (IRESes) within viral RNA genomes allowed the production of viral proteins more efficiently than most of the host proteins. The RNA secondary structure of viral IRESes has sometimes been conserved between viral species even though the primary sequences differ. These structures are important for IRES function, but no similar structure conservation has yet to be shown in cellular IRES. With the advances in mathematical modeling and computational approaches to complex biological problems, is there a way to predict an IRES in a data set of unknown sequences? This review examines what is known about cellular IRES structures, as well as the data sets and tools available to examine this question. We find that the lengths, number of upstream AUGs, and %GC content of 5'-UTRs of the human transcriptome have a similar distribution to those of published IRES-containing UTRs. Although the UTRs containing IRESes are on the average longer, almost half of all 5'-UTRs are long enough to contain an IRES. Examination of the available RNA structure prediction software and RNA motif searching programs indicates that while these programs are useful tools to fine tune the empirically determined RNA secondary structure, the accuracy of de novo secondary structure prediction of large RNA molecules and subsequent identification of new IRES elements by computational approaches, is still not possible.

Indexed as

5' Untranslated RegionsAlgorithmsAnimalsBase SequenceDatabases, Nucleic AcidGenetic Complementation TestHumansModels, MolecularMolecular Sequence DataNucleic Acid ConformationProtein BiosynthesisRibosomesRNA-Binding ProteinsRNA, ViralSoftwareThermodynamics5' Untranslated RegionsRNA-Binding ProteinsRNA, Viral

Identifiers

PMID16957278
PMCPMC1581980

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.