Evidence map›Paper›PMID 19846596›Full record

ArticleNucleic acids research2009

Selection of hyperfunctional siRNAs with improved potency and specificity.

Xiaowei Wang, Xiaohui Wang, Rajeev K Varma, Lesslie Beauchamp, Susan Magdaleno, Timothy J Sendera

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Computational Approaches for Designing Highly Specific and Efficient sgRNAs.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Review
  12. Article
  13. Review
  14. A review on current status of antiviral siRNA.Reviews in medical virology · 2018
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. siRNA Versus miRNA as Therapeutics for Gene Silencing.Molecular therapy. Nucleic acids · 2015
    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

6 authors at 1 institution in 1 country.

Xiaowei WangDepartment of Radiation Oncology, Washington University School of Medicine, St Louis, MO 63108, USA. xwang@radonc.wustl.edu
Xiaohui Wang
Rajeev K Varma
Lesslie Beauchamp
Susan Magdaleno
Timothy J Sendera
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One critical step in RNA interference (RNAi) experiments is to design small interfering RNAs (siRNAs) that can greatly reduce the expression of the target transcripts, but not of other unintended targets. Although various statistical and computational approaches have been attempted, this remains a challenge facing RNAi researchers. Here, we present a new experimentally validated method for siRNA design. By analyzing public siRNA data and focusing on hyperfunctional siRNAs, we identified a set of sequence features as potency selection criteria to build an siRNA design algorithm with support vector machines. Additional bioinformatics filters were also included in the algorithm to increase RNAi specificity by reducing potential sequence cross-hybridization or microRNA-like effects. Independent validation experiments were performed, which indicated that the newly designed siRNAs have significantly improved performance, and worked effectively even at low concentrations. Furthermore, our cell-based studies demonstrated that the siRNA off-target effects were significantly reduced when the siRNAs were delivered into cells at the 3 nM concentration compared to 30 nM. Thus, the capability of our new design program to select highly potent siRNAs also renders increased RNAi specificity because these siRNAs can be used at a much lower concentration. The siRNA design web server is available at http://www5.appliedbiosystems.com/tools/siDesign/.

Indexed as

AlgorithmsRNA InterferenceArtificial IntelligenceBase CompositionCell Line, TumorComputational BiologyGene Knockdown TechniquesHumansNucleic Acid ConformationRNA, Small InterferingSequence Analysis, RNARNA, Small Interfering

Identifiers

PMID19846596
PMCPMC2794195
OpenAlexW2166802172

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.