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Transfer-messenger RNA-SmpB Protein Regulates Ribonuclease R Turnover by Promoting Binding of HslUV and Lon Proteases*

Overview of attention for article published in Journal of Biological Chemistry, August 2012
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Article details
Title
Transfer-messenger RNA-SmpB Protein Regulates Ribonuclease R Turnover by Promoting Binding of HslUV and Lon Proteases*
Published in
Journal of Biological Chemistry, August 2012
DOI 10.1074/jbc.m112.375287
Pubmed ID
Authors
Abstract

RNase R, an important exoribonuclease involved in degradation of structured RNA, is subject to a novel mechanism of regulation. The enzyme is extremely unstable in rapidly growing cells but becomes stabilized under conditions of stress, such as stationary phase or cold shock. RNase R instability results from acetylation which promotes binding of tmRNA-SmpB, two trans-translation factors, to its C-terminal region. Here, we examine how binding of tmRNA-SmpB leads to proteolysis of RNase R. We show that RNase R degradation is due to two proteases, HslUV and Lon. In their absence, RNase R is stable. We also show, using an in vitro system that accurately replicates the in vivo process, that tmRNA-SmpB is not essential, but it stimulates binding of the protease to the N-terminal region of RNase R and that it does so by a direct interaction between the protease and SmpB which stabilizes protease binding. Thus, a sequence of events, initiated by acetylation of a single Lys residue, results in proteolysis of RNase R in exponential phase cells. RNase R in stationary phase or in cold-shocked cells is not acetylated, and thereby remains stable. Such a regulatory mechanism, dependent on protein acetylation, has not been observed previously in bacterial cells.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
France 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 33%
Student > Ph. D. Student 11 26%
Student > Bachelor 5 12%
Professor 2 5%
Other 1 2%
Other 4 10%
Unknown 5 12%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 50%
Agricultural and Biological Sciences 15 36%
Medicine and Dentistry 1 2%
Unknown 5 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2012.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Journal of Biological Chemistry
#80,171
of 85,240 outputs
Outputs of similar age
#145,451
of 184,943 outputs
Outputs of similar age from Journal of Biological Chemistry
#410
of 588 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 85,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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