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Cold Spring Harbor Symposia on Quantitative Biology
Article . 2006 . Peer-reviewed
Data sources: Crossref
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Regulating Bacterial Transcription with Small RNAs

Authors: G, Storz; J A, Opdyke; K M, Wassarman;

Regulating Bacterial Transcription with Small RNAs

Abstract

In recent years, the combinations of computational and molecular approaches have led to the identification of an increasing number of small, noncoding RNAs encoded by bacteria and their plasmids and phages. Most of the characterized small RNAs have been shown to operate at a posttranscriptional level, modulating mRNA stability or translation by base-pairing with the 5' regions of the target mRNAs. However, a subset of small RNAs has been found to regulate transcription. One example is the abundant 6S RNA that has been proposed to compete for DNA binding of RNA polymerase by mimicking the open conformation of promoter DNA. Other small RNAs affect transcription termination via base-pairing interactions with sequences in the mRNA. Here, we discuss current understanding and questions regarding the roles of small RNAs in regulating transcription.

Keywords

RNA, Bacterial, Eukaryotic Cells, RNA, Untranslated, Bacteria, Models, Genetic, Transcription, Genetic, Promoter Regions, Genetic

  • BIP!
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    citations
    The total number of citations received by all articles of the researcher of interest.
    29
    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.
    Average
    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 10%
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citations
The total number of citations received by all articles of the researcher of interest.
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!
29
Average
Top 10%
Top 10%
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