Evidence map›Paper›PMID 16682562›Full record

ArticleRNA (New York, N.Y.)2006

Position-specific chemical modification of siRNAs reduces "off-target" transcript silencing.

Aimee L Jackson, Julja Burchard, Devin Leake, Angela Reynolds, Janell Schelter, Jie Guo, Jason M Johnson, Lee Lim, Jon Karpilow, Kim Nichols and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 340 papers.

0numbers the graph read from it
0cells of the map it votes in
340citing papers in PubMed
26.9field-weighted citation impact, top 1% 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

340 citing papers in PubMed, 782 citations in OpenAlex.

  1. Review
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  4. DNA Nanostructures for siRNA Delivery.Bioconjugate chemistry · 2026
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  19. Article
  20. Chemical Modifications in Nucleic Acid Therapeutics.Methods in molecular biology (Clifton, N.J.) · 2025
    Review

280 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 1 country.

Aimee L JacksonRosetta Inpharmatics, LLC, Seattle, WA 98109, USA. aimee_jackson@merck.com
Julja Burchard
Devin Leake
Angela Reynolds
Janell Schelter
Jie Guo
Jason M Johnson
Lee Lim
Jon Karpilow
Kim Nichols
William Marshall
Anastasia Khvorova
Peter S Linsley
Rosetta Stone (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfected siRNAs regulate numerous transcripts sharing limited complementarity to the RNA duplex. This unintended ("off-target") silencing can hinder the use of RNAi to define gene function. Here we describe position-specific, sequence-independent chemical modifications that reduced silencing of partially complementary transcripts by all siRNAs tested. Silencing of perfectly matched targets was unaffected by these modifications. The chemical modification also reduced off-target phenotypes in growth inhibition studies. Key to the modification was 2'-O-methyl ribosyl substitution at position 2 in the guide strand, which reduced silencing of most off-target transcripts with complementarity to the seed region of the siRNA guide strand. The sharp position dependence of 2'-O-methyl ribosyl modification contrasts with the broader position dependence of base-pair substitutions within the seed region, suggesting a role for position 2 of the guide strand distinct from its effects on pairing to target transcripts.

Indexed as

Gene SilencingTranscription, GeneticBase SequenceHeLa CellsHumansModels, MolecularNucleic Acid ConformationOligonucleotide Array Sequence AnalysisRNA, Small InterferingThermodynamicsRNA, Small Interfering

Identifiers

PMID16682562
PMCPMC1484422
OpenAlexW2143313350

What OpenQuestion holds

Textmetadata
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.