Evidence map›Paper›PMID 25602583›Full record

ArticleMolecular therapy. Nucleic acids2015

Molecular Properties, Functional Mechanisms, and Applications of Sliced siRNA.

Guihua Sun, Spencer Yele Yeh, Christine Wan-Yin Yuan, Margaret Jean-Yih Chiu, Bryan Shing Hei Yung, Yun Yen

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2015. 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. Current drug discovery technologies · 2025
    Article
  3. Article
  4. Article
  5. Molecular therapy. Nucleic acids · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

6 authors.

Guihua SunDepartment of Molecular Pharmacology, Beckman Research Institute of the City of Hope, Duarte, California, USA.
Spencer Yele YehSummer Interns, Beckman Research Institute of the City of Hope, Duarte, California, USA.
Christine Wan-Yin YuanSummer Interns, Beckman Research Institute of the City of Hope, Duarte, California, USA.
Margaret Jean-Yih ChiuSummer Interns, Beckman Research Institute of the City of Hope, Duarte, California, USA.
Bryan Shing Hei YungSummer Interns, Beckman Research Institute of the City of Hope, Duarte, California, USA.
Yun YenDepartment of Molecular Pharmacology, Beckman Research Institute of the City of Hope, Duarte, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using pre-miR-451 as a model molecule, we have characterized the general molecular properties of small hairpin RNAs that are processed into potent small interfering RNAs (siRNA) by Argonaute2 (Ago2). The Ago2-sliced siRNAs (sli-siRNAs) have the same silencing potency as the classical Dicer diced siRNAs (di-siRNAs) but have dramatically reduced unwanted sense strand activities. We have built vectors with the constitutive or inducible U6 promoter that can express sli-siRNAs in mammalian cells, in which the sli-siRNAs can be correctly processed to repress target genes. As a proof of principle for potential applications of sli-siRNAs in vivo, we show that the expression of one Ago2 shRNA-1148 in HCT-116 colon cancer cells knocked down RRM2 expression and reduced the proliferation and invasiveness of the cells. The defined sli-siRNA model molecules and the expression systems established in this study will facilitate the design and application of sli-siRNAs as novel potent RNAi triggers with reduced off-target effects.

Identifiers

PMID25602583
PMCPMC4345305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.