↓ Skip to main content

siRNA Design Software for a Target Gene-Specific RNA Interference

Overview of attention for article published in Frontiers in Genetics, January 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
peer_reviews
1 peer review site

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
213 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
siRNA Design Software for a Target Gene-Specific RNA Interference
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00102
Pubmed ID
Authors

Yuki Naito, Kumiko Ui-Tei

Abstract

RNA interference (RNAi) is a mechanism through which small interfering RNA (siRNA) induces sequence-specific posttranscriptional gene silencing. RNAi is commonly recognized as a powerful tool not only for functional genomics but also for therapeutic applications. Twenty-one-nucleotide-long siRNA suppresses the expression of the intended gene whose transcript possesses perfect complementarity to the siRNA guide strand. Hence, its silencing effect has been assumed to be extremely specific. However, accumulated evidences revealed that siRNA could downregulate unintended genes with partial complementarities mainly to the seven-nucleotide seed region of siRNA. This phenomenon is referred to as off-target effect. We have revealed that the capability to induce off-target effect is strongly correlated to the thermodynamic stability in siRNA seed-target duplex. For understanding accurate target gene function and successful therapeutic application, it may be critical to select a target gene-specific siRNA with minimized off-target effect. Here we present our siRNA design software for a target-specific RNAi. In addition, we also introduce the software programs open to the public for designing functional siRNAs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 209 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 22%
Student > Ph. D. Student 44 21%
Student > Master 25 12%
Student > Bachelor 20 9%
Student > Doctoral Student 6 3%
Other 22 10%
Unknown 49 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 30%
Biochemistry, Genetics and Molecular Biology 54 25%
Medicine and Dentistry 12 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Neuroscience 6 3%
Other 16 8%
Unknown 55 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 June 2021.
All research outputs
#4,039,994
of 22,903,988 outputs
Outputs from Frontiers in Genetics
#1,245
of 11,949 outputs
Outputs of similar age
#34,402
of 244,793 outputs
Outputs of similar age from Frontiers in Genetics
#34
of 255 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,949 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,793 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.