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Conditional Cooperativity of Toxin - Antitoxin Regulation Can Mediate Bistability between Growth and Dormancy

Overview of attention for article published in PLoS Computational Biology, August 2013
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Title
Conditional Cooperativity of Toxin - Antitoxin Regulation Can Mediate Bistability between Growth and Dormancy
Published in
PLoS Computational Biology, August 2013
DOI 10.1371/journal.pcbi.1003174
Pubmed ID
Authors

Ilaria Cataudella, Kim Sneppen, Kenn Gerdes, Namiko Mitarai

Abstract

Many toxin-antitoxin operons are regulated by the toxin/antitoxin ratio by mechanisms collectively coined "conditional cooperativity". Toxin and antitoxin form heteromers with different stoichiometric ratios, and the complex with the intermediate ratio works best as a transcription repressor. This allows transcription at low toxin level, strong repression at intermediate toxin level, and then again transcription at high toxin level. Such regulation has two interesting features; firstly, it provides a non-monotonous response to the concentration of one of the proteins, and secondly, it opens for ultra-sensitivity mediated by the sequestration of the functioning heteromers. We explore possible functions of conditional regulation in simple feedback motifs, and show that it can provide bistability for a wide range of parameters. We then demonstrate that the conditional cooperativity in toxin-antitoxin systems combined with the growth-inhibition activity of free toxin can mediate bistability between a growing state and a dormant state.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Belgium 2 1%
France 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Unknown 127 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 26%
Student > Master 28 21%
Researcher 22 16%
Student > Bachelor 17 13%
Student > Doctoral Student 4 3%
Other 15 11%
Unknown 13 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 31%
Agricultural and Biological Sciences 38 28%
Immunology and Microbiology 14 10%
Engineering 4 3%
Physics and Astronomy 4 3%
Other 16 12%
Unknown 16 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 August 2013.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#6,968
of 8,960 outputs
Outputs of similar age
#122,752
of 212,161 outputs
Outputs of similar age from PLoS Computational Biology
#75
of 112 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 212,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.