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Mathematical model of flagella gene expression dynamics in Salmonella enterica serovar typhimurium

Overview of attention for article published in Systems and Synthetic Biology, February 2015
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Title
Mathematical model of flagella gene expression dynamics in Salmonella enterica serovar typhimurium
Published in
Systems and Synthetic Biology, February 2015
DOI 10.1007/s11693-015-9160-3
Pubmed ID
Authors

Kirti Jain, Amit Pradhan, Chaitanya Mokashi, Supreet Saini

Abstract

Flagellar assembly in Salmonella is controlled by an intricate genetic and biochemical network. This network comprises of a number of inter-connected feedback loops, which control the assembly process dynamically. Critical among these are the FliA-FlgM feedback, FliZ-mediated positive feedback, and FliT-mediated negative feedback. In this work, we develop a mathematical model to track the dynamics of flagellar gene expression in Salmonella. Analysis of our model demonstrates that the network is wired to not only control the transition of the cell from a non-flagellated to a flagellated state, but to also control dynamics of gene expression during cell division. Further, we predict that FliZ encoded in the flagellar regulon acts as a critical secretion-dependent molecular link between flagella and Salmonella Pathogenicity Island 1 gene expression. Sensitivity analysis of the model demonstrates that the flagellar regulatory network architecture is extremely robust to mutations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 3 15%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Lecturer > Senior Lecturer 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Agricultural and Biological Sciences 5 25%
Medicine and Dentistry 2 10%
Mathematics 1 5%
Unknown 5 25%
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 15 May 2015.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from Systems and Synthetic Biology
#81
of 97 outputs
Outputs of similar age
#256,575
of 352,335 outputs
Outputs of similar age from Systems and Synthetic Biology
#5
of 5 outputs
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So far Altmetric has tracked 97 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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