Evidence map›Paper›PMID 21353615›Full record

ArticleMolecular cell2011

Functional identification of optimized RNAi triggers using a massively parallel sensor assay.

Christof Fellmann, Johannes Zuber, Katherine McJunkin, Kenneth Chang, Colin D Malone, Ross A Dickins, Qikai Xu, Michael O Hengartner, Stephen J Elledge, Gregory J Hannon and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed
11.3field-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

147 citing papers in PubMed, 228 citations in OpenAlex.

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  19. Evaluation of a Novel Oncolytic Adenovirus SilencingInternational journal of molecular sciences · 2022
    Article
  20. Article

87 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

11 authors at 5 institutions in 3 countries.

Christof FellmannCold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA.
Johannes Zuber
Katherine McJunkin
Kenneth Chang
Colin D Malone
Ross A Dickins
Qikai Xu
Michael O Hengartner
Stephen J Elledge
Gregory J Hannon
Scott W Lowe
Cold Spring Harbor Laboratory · USHoward Hughes Medical Institute · USUniversity of Zurich · CHHarvard University · USWalter and Eliza Hall Institute of Medical Research · AU

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
VIRAL TRANSACTIVATIONP01CA013106 · NCI · COLD SPRING HARBOR LABORATORY · PI William Richard McCombie · 1985 to 2026
$116.8M
Genetics of Cell Cycle &DNA Damage Regulation in YeastR37GM044664 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI ELLEDGE, STEPHEN J · 2003 to 2012
$3.5M
Howard Hughes Medical InstituteNCI NIH HHS P01 CA013106NCI NIH HHS P30 CA008748NIGMS NIH HHS R37 GM044664
6 · The paper itself

Abstract

Short hairpin RNAs (shRNAs) provide powerful experimental tools by enabling stable and regulated gene silencing through programming of endogenous microRNA pathways. Since requirements for efficient shRNA biogenesis and target suppression are largely unknown, many predicted shRNAs fail to efficiently suppress their target. To overcome this barrier, we developed a "Sensor assay" that enables the biological identification of effective shRNAs at large scale. By constructing and evaluating 20,000 RNAi reporters covering every possible target site in nine mammalian transcripts, we show that our assay reliably identifies potent shRNAs that are surprisingly rare and predominantly missed by existing algorithms. Our unbiased analyses reveal that potent shRNAs share various predicted and previously unknown features associated with specific microRNA processing steps, and suggest a model for competitive strand selection. Together, our study establishes a powerful tool for large-scale identification of highly potent shRNAs and provides insights into sequence requirements of effective RNAi.

Indexed as

Biosensing TechniquesRNA InterferenceAlgorithmsAnimalsFibroblastsGene SilencingGenetic VectorsHigh-Throughput Screening AssaysHumansMiceMicroRNAsNIH 3T3 CellsRNA, Small InterferingMicroRNAsRNA, Small Interfering

Identifiers

PMID21353615
PMCPMC3130540
OpenAlexW2120344603

What OpenQuestion holds

Textmetadata
LicenceTDM
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.