Evidence map›Paper›PMID 16916791›Full record

ArticleNucleic acids research2006

Specific and nontoxic silencing in mammalian cells with expressed long dsRNAs.

Aurel Strat, Lu Gao, Tada Utsuki, Bing Cheng, Sam Nuthalapaty, J Mike Mathis, Yoshinobu Odaka, Tony Giordano

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2006. 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
1.4field-weighted citation impact, top 21% 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, 17 citations in OpenAlex.

  1. Article
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  4. Review
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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

8 authors at 1 institution in 1 country.

Aurel StratDepartment of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center Shreveport, LA, USA.
Lu Gao
Tada Utsuki
Bing Cheng
Sam Nuthalapaty
J Mike Mathis
Yoshinobu Odaka
Tony Giordano
Louisiana State University Health Sciences Center Shreveport · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of groups have developed libraries of siRNAs to identify genes through functional genomics. While these studies have validated the approach of making functional RNAi libraries to understand fundamental cellular mechanisms, they require information and knowledge of existing sequences since the RNAi sequences are generated synthetically. An alternative strategy would be to create an RNAi library from cDNA. Unfortunately, the complexity of such a library of siRNAs would make screening difficult. To reduce the complexity, longer dsRNAs could be used; however, concerns of induction of the interferon response and off-target effects of long dsRNAs have prevented their use. As a first step in creating such libraries, long dsRNA was expressed in mammalian cells. The 250 nt dsRNAs were capable of efficiently silencing a luciferase reporter gene that was stably transfected in MDA-MB-231 cells without inducing the interferon response or off-target effects any more than reported for siRNAs. In addition, a long dsRNA expressed in the same cell line was capable of silencing endogenous c-met expression and inhibited cell migration, whereas the dsRNA against luciferase had no effect on c-met or cell migration. The studies suggest that large dsRNA libraries are feasible and that functional selection of genes will be possible.

Indexed as

RNA InterferenceAnimalsCell Line, TumorCell MovementGenes, ReporterHumansInterferon-betaLuciferasesPlasmidsProto-Oncogene Proteins c-metRNA, Double-StrandedInterferon-betaLuciferasesProto-Oncogene Proteins c-metRNA, Double-Stranded

Identifiers

PMID16916791
PMCPMC1540741
OpenAlexW2100583899

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.