Evidence map›Paper›PMID 22314289›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2012

SHAPE-directed discovery of potent shRNA inhibitors of HIV-1.

Justin T Low, Stefanie A Knoepfel, Joseph M Watts, Olivier ter Brake, Ben Berkhout, Kevin M Weeks

Abstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  12. Bolaamphiphiles as carriers for siRNA delivery: From chemical syntheses to practical applications.Journal of controlled release : official journal of the Controlled Release Society · 2015
    Article
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  20. The impact of unprotected T cells in RNAi-based gene therapy for HIV-AIDS.Molecular therapy : the journal of the American Society of Gene Therapy · 2014
    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.

Justin T LowDepartment of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27599-3290, USA.
Stefanie A Knoepfel
Joseph M Watts
Olivier ter Brake
Ben Berkhout
Kevin M Weeks

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
Structure of the HIV-1 GenomeR01AI068462 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2006 to 2020
$7.4M
Structure Aided Design of RNA-Directed Inhibitors of HIV-1F30DA027364 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LOW, JUSTIN THOMAS · 2009 to 2013
$145k
NIAID NIH HHS AI068462NIAID NIH HHS R01 AI068462NIDA NIH HHS F30 DA027364NIDA NIH HHS F30DA027364NIGMS NIH HHS T32 GM008719NIGMS NIH HHS T32GM008719
6 · The paper itself

Abstract

The RNA interference (RNAi) pathway can be exploited using short hairpin RNAs (shRNAs) to durably inactivate pathogenic genes. Prediction of optimal target sites is notoriously inaccurate and current approaches applied to HIV-1 show weak correlations with virus inhibition. In contrast, using a high-content model for disrupting pre-existing intramolecular structure in the HIV-1 RNA, as achievable using high-resolution SHAPE (selective 2'-hydroxyl acylation analyzed by primer extension) chemical probing information, we discovered strong correlations between inhibition of HIV-1 production in a quantitative cell-based assay and very simple thermodynamic features in the target RNA. Strongest inhibition occurs at RNA target sites that both have an accessible "seed region" and, unexpectedly, are structurally accessible in a newly identified downstream flanking sequence. We then used these simple rules to create a new set of shRNAs and achieved inhibition of HIV-1 production of 90% or greater for up to 82% of designed shRNAs. These shRNAs inhibit HIV-1 replication in therapy-relevant T cells and show no or low cytotoxicity. The remarkable success of this straightforward SHAPE-based approach emphasizes that RNAi is governed, in significant part, by very simple, predictable rules reflecting the underlying RNA structure and illustrates principles likely to prove broadly useful in understanding transcriptome-scale biological recognition and therapeutics involving RNA.

Indexed as

AlgorithmsCell LineGenome, ViralHIV-1HumansLentivirusRNA InterferenceRNA, Small InterferingRNA, ViralVirus ReplicationRNA, Small InterferingRNA, Viral

Identifiers

PMID22314289
PMCPMC3321596

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.