Evidence map›Paper›PMID 17616554›Full record

ArticleRNA (New York, N.Y.)2007

A more efficient RNAi inducible system for tight regulation of gene expression in mammalian cells and xenograft animals.

Jing Zhang, Cuiying Wang, Ning Ke, Josh Bliesath, John Chionis, Qiuchen S He, Qi-Xiang Li, Jon E Chatterton, Flossie Wong-Staal, Demin Zhou

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Modeling recursive RNA interference.PLoS computational biology · 2008
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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

10 authors at 1 institution in 1 country.

Jing ZhangImmusol Inc, San Diego, CA 92121, USA.
Cuiying Wang
Ning Ke
Josh Bliesath
John Chionis
Qiuchen S He
Qi-Xiang Li
Jon E Chatterton
Flossie Wong-Staal
Demin Zhou
Immusoft (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two types of tetracycline-controlled inducible RNAi expression systems have been developed that generally utilize multiple tetracycline operators (TetOs) or repressor fusion proteins to overcome the siRNA leakiness. Here, we report a novel system that overexpresses the tetracycline repressor (TetR) via a bicistronic construct to control siRNA expression. The high level of TetR expression ensures that the inducible promoter is tightly bound, with minimal basal transcription, allowing for regulation solely dependent on TetR rather than a TetR fusion protein via a more complicated mechanism. At the same time, this system contains only a single TetO, thus minimizing the promoter impairment occurring in existing systems due to the incorporation of multiple TetOs, and maximizing the siRNA expression upon induction. In addition, this system combines all the components required for regulation of siRNA expression into a single lentiviral vector, so that stable cell lines can be generated by a single transduction and selection, with significant reduction in time and cost. Taken together, this all-in-one lentiviral vector with the feature of TetR overexpression provides a unique and more efficient tool for conditional gene knockdown that has wide applications. We have demonstrated the high degree of robustness and versatility of this system as applied to several mammalian cells and xenograft animals.

Indexed as

Gene Expression RegulationGenetic TechniquesRNA InterferenceAnimalsCell Line, TumorHumansMiceModels, AnimalNeoplasm TransplantationPromoter Regions, GeneticRNA, Small InterferingTetracyclineTransduction, GeneticTransplantation, HeterologousRNA, Small InterferingTetracycline

Identifiers

PMID17616554
PMCPMC1924899
OpenAlexW2133297634

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.