Evidence map›Paper›PMID 18483081›Full record

ArticleNucleic acids research2008

Fundamental differences in the equilibrium considerations for siRNA and antisense oligodeoxynucleotide design.

Zhi John Lu, David H Mathews

Abstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. Ribosome as a Translocase and Helicase.Biochemistry. Biokhimiia · 2021
    Review
  10. Making ends meet: New functions of mRNA secondary structure.Wiley interdisciplinary reviews. RNA · 2021
    Review
  11. Article
  12. Article
  13. Quantifying the sequence-function relation in gene silencing by bacterial small RNAs.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  14. Article
  15. Article
  16. RNA secondary structure analysis using RNAstructure.Current protocols in bioinformatics · 2006
    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

2 authors.

Zhi John LuDepartment of Biochemistry and Biophysics and Department of Biostatistics & Computational Biology, University of Rochester Medical Center, Box 712, 601 Elmwood Avenue, Rochester, NY 14642, USA.
David H Mathews

Funding

Supporting RNAstructure: Software for RNA AnalysisR01GM076485 · NIGMS · UNIVERSITY OF ROCHESTER · PI MATHEWS, DAVID H. · 2006 to 2021
$4.7M
NIGMS NIH HHS R01 GM076485NIGMS NIH HHS R01GM076485
6 · The paper itself

Abstract

Both siRNA and antisense oligodeoxynucleotides (ODNs) inhibit the expression of a complementary gene. In this study, fundamental differences in the considerations for RNA interference and antisense ODNs are reported. In siRNA and antisense ODN databases, positive correlations are observed between the cost to open the mRNA target self-structure and the stability of the duplex to be formed, meaning the sites along the mRNA target with highest potential to form strong duplexes with antisense strands also have the greatest tendency to be involved in pre-existing structure. Efficient siRNA have less stable siRNA-target duplex stability than inefficient siRNA, but the opposite is true for antisense ODNs. It is, therefore, more difficult to avoid target self-structure in antisense ODN design. Self-structure stabilities of oligonucleotide and target correlate to the silencing efficacy of siRNA. Oligonucleotide self-structure correlations to efficacy of antisense ODNs, conversely, are insignificant. Furthermore, self-structure in the target appears to correlate with antisense ODN efficacy, but such that more effective antisense ODNs appear to target mRNA regions with greater self-structure. Therefore, different criteria are suggested for the design of efficient siRNA and antisense ODNs and the design of antisense ODNs is more challenging.

Indexed as

RNA InterferenceAlgorithmsBase PairingNucleic Acid HybridizationOligodeoxyribonucleotides, AntisenseRNA, MessengerRNA, Small InterferingThermodynamicsOligodeoxyribonucleotides, AntisenseRNA, MessengerRNA, Small Interfering

Identifiers

PMID18483081
PMCPMC2441788

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Registered trials

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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.