| Title |
Gene expression dynamics in randomly varying environments
|
|---|---|
| Published in |
Journal of Mathematical Biology, September 2009
|
| DOI | 10.1007/s00285-009-0298-z |
| Pubmed ID | |
| Authors |
Michael W. Smiley, Stephen R. Proulx |
| Abstract |
A simple model of gene regulation in response to stochastically changing environmental conditions is developed and analyzed. The model consists of a differential equation driven by a continuous time 2-state Markov process. The density function of the resulting process converges to a beta distribution. We show that the moments converge to their stationary values exponentially in time. Simulations of a two-stage process where protein production depends on mRNA concentrations are also presented demonstrating that protein concentration tracks the environment whenever the rate of protein turnover is larger than the rate of environmental change. Single-celled organisms are therefore expected to have relatively high mRNA and protein turnover rates for genes that respond to environmental fluctuations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 3% |
| United States | 1 | 3% |
| Netherlands | 1 | 3% |
| Portugal | 1 | 3% |
| Unknown | 28 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 34% |
| Student > Ph. D. Student | 8 | 25% |
| Professor > Associate Professor | 4 | 13% |
| Student > Bachelor | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 41% |
| Mathematics | 7 | 22% |
| Unspecified | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 2 | 6% |
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 23 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from Journal of Mathematical Biology
#442
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Outputs of similar age
#74,007
of 80,985 outputs
Outputs of similar age from Journal of Mathematical Biology
#4
of 4 outputs
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