Evidence map›Paper›PMID 29718312›Full record

ArticleNucleic acids research2018

Differences in silencing of mismatched targets by sliced versus diced siRNAs.

Guihua Sun, Jinghan Wang, Yasheng Huang, Christine Wan-Yin Yuan, Keqiang Zhang, Shuya Hu, Linling Chen, Ren-Jang Lin, Yun Yen, Arthur D Riggs

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Molecular therapy. Nucleic acids · 2022
    Article
  4. Article
  5. Article
  6. 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

10 authors at 3 institutions in 2 countries.

Guihua SunDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Jinghan WangDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Yasheng HuangDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Christine Wan-Yin YuanDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Keqiang ZhangDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Shuya HuDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Linling ChenDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Ren-Jang LinDepartment of Molecular and Cellular Biology, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Yun YenGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan.
Arthur D RiggsDepartment of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA.
Beckman Research InstituteCity of Hope · USTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been reported that the two major types of RNA interference triggers, the classical Dicer-generated small RNAs (siRNAs), which function with all members of the Argonaute (Ago) protein family in mammals, and the Ago2-sliced small RNAs (sli-siRNAs), which function solely through Ago2, have similar potency in target cleavage and repression. Here, we show that sli-siRNAs are generally more potent than siRNAs in silencing mismatched targets. This phenomenon is usually more apparent in targets that have mismatched nucleotides in the 3' supplementary region than in targets with mismatches in the seed region. We demonstrate that Ago2 slicer activity is a major factor contributing to the greater silencing efficiency of sli-siRNA against mismatched targets and that participation of non-slicing Agos in silencing mismatched siRNA targets may dilute the slicing ability of Ago2. The difference in length of the mature guide RNA used in sli-RISCs and si-RISCs may also contribute to the observed difference in knockdown efficiency. Our data suggest that a sli-siRNA guide strand is likely to have substantially stronger off-target effects than a guide strand with the same sequence in a classical siRNA and that Dicer and non-slicing Agos may play pivotal roles in controlling siRNA target specificity.

Indexed as

Base Pair MismatchRNA InterferenceAnimalsArgonaute ProteinsCell Line, TumorCells, CulturedHEK293 CellsHumansMiceMicroRNAsRibonuclease IIIRNA-Induced Silencing ComplexRNA Processing, Post-TranscriptionalRNA, Small InterferingAGO2 protein, humanArgonaute ProteinsMicroRNAsRibonuclease IIIRNA-Induced Silencing ComplexRNA, Small Interfering

Identifiers

PMID29718312
PMCPMC6061797
OpenAlexW2799809614

What OpenQuestion holds

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LicenceCC BY-NC
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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.