Evidence map›Paper›PMID 21095568›Full record

ArticleChemistry & biology2010

Allele-selective inhibition of huntingtin expression by switching to an miRNA-like RNAi mechanism.

Jiaxin Hu, Jing Liu, David R Corey

Abstract read
In one paragraph

Article in Chemistry & biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. It is Time to Revisit miRNA Therapeutics.Nucleic acid therapeutics · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. The emerging roles of long non-coding RNAs in polyglutamine diseases.Journal of cellular and molecular medicine · 2021
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The Emerging Role of microRNAs in Polyglutamine Diseases.Frontiers in molecular neuroscience · 2019
    Article

10 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

3 authors.

Jiaxin HuThe Departments of Pharmacology and Biochemistry, UT Southwestern Medical Center, 6001 Forest Park Road, Dallas, TX 75390-9041, USA.
Jing Liu
David R Corey

Funding

Recognition of Chromosomal DNA by Peptide Nucleic AcidsR01GM073042 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI COREY, DAVID R · 2005 to 2016
$3.5M
NIGMS NIH HHS GM73042NIGMS NIH HHS R01 GM073042
6 · The paper itself

Abstract

Inhibiting expression of huntingtin (HTT) protein is a promising strategy for treating Huntington's disease (HD), but indiscriminant inhibition of both wild-type and mutant alleles may lead to toxicity. An ideal silencing agent would block expression of mutant HTT while leaving expression of wild-type HTT intact. We observe that fully complementary duplex RNAs targeting the expanded CAG repeat within HTT mRNA block expression of both alleles. Switching the RNAi mechanism toward that used by miRNAs by introducing one or more mismatched bases into these duplex RNAs leads to potent (<10 nM) and highly selective (>30-fold relative to wild-type HTT) inhibition of mutant HTT expression in patient-derived cells. Potent, allele selective inhibition of HTT by mismatched RNAs provides a new option for developing HD therapeutics.

Indexed as

RNA InterferenceAllelesBase Pair MismatchBase SequenceCell LineHumansHuntingtin ProteinHuntington DiseaseMicroRNAsMutationNerve Tissue ProteinsNuclear ProteinsRNA, Small InterferingHTT protein, humanHuntingtin ProteinMicroRNAsNerve Tissue ProteinsNuclear ProteinsRNA, Small Interfering

Identifiers

PMID21095568
PMCPMC3021381

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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.