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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Biomolecular Enginee...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Biomolecular Engineering
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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RNA interference in cancer

Authors: Andrei L, Gartel; Eugene S, Kandel;

RNA interference in cancer

Abstract

In the recent years, RNA interference (RNAi) has emerged as a major regulatory mechanism in eukaryotic gene expression. The realization that changes in the levels of microRNAs are directly associated with cancer led to the recognition of a new class of tumor suppressors and oncogenes. Moreover, RNAi has been turned into a potent tool for artificially modulating gene expression through the introduction of short interfering RNAs. A plethora of individual inhibitory RNAs as well as several large collections of these reagents have been generated. The systems for stable and regulated expression of these molecules emerged as well. These tools have helped to delineate the roles of various cellular factors in oncogenesis and tumor suppression and laid the foundation for new approaches in gene discovery. Furthermore, successful inhibition of tumor cell growth by RNAi aimed at oncogenes in vitro and in vivo supports the enthusiasm for potential therapeutic applications of this technique. In this article we review the evidence of microRNA involvement in cancer, the use of short interfering RNAs in forward and reverse genetics of this disease, and as well as both the benefits and limitations of experimental RNAi.

Related Organizations
Keywords

Gene Expression Regulation, Neoplastic, Neoplasms, Gene Targeting, Animals, Humans, RNA Interference, Genetic Therapy, RNA, Small Interfering, Neoplasm Proteins

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    115
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
115
Top 10%
Top 10%
Top 1%
Related to Research communities
Cancer Research
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