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Influence of the Nuclear Membrane, Active Transport, and Cell Shape on the Hes1 and p53–Mdm2 Pathways: Insights from Spatio-temporal Modelling

Overview of attention for article published in Bulletin of Mathematical Biology, April 2012
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Title
Influence of the Nuclear Membrane, Active Transport, and Cell Shape on the Hes1 and p53–Mdm2 Pathways: Insights from Spatio-temporal Modelling
Published in
Bulletin of Mathematical Biology, April 2012
DOI 10.1007/s11538-012-9725-1
Pubmed ID
Authors

Marc Sturrock, Alan J. Terry, Dimitris P. Xirodimas, Alastair M. Thompson, Mark A. J. Chaplain

Abstract

There are many intracellular signalling pathways where the spatial distribution of the molecular species cannot be neglected. These pathways often contain negative feedback loops and can exhibit oscillatory dynamics in space and time. Two such pathways are those involving Hes1 and p53-Mdm2, both of which are implicated in cancer. In this paper we further develop the partial differential equation (PDE) models of Sturrock et al. (J. Theor. Biol., 273:15-31, 2011) which were used to study these dynamics. We extend these PDE models by including a nuclear membrane and active transport, assuming that proteins are convected in the cytoplasm towards the nucleus in order to model transport along microtubules. We also account for Mdm2 inhibition of p53 transcriptional activity. Through numerical simulations we find ranges of values for the model parameters such that sustained oscillatory dynamics occur, consistent with available experimental measurements. We also find that our model extensions act to broaden the parameter ranges that yield oscillations. Hence oscillatory behaviour is made more robust by the inclusion of both the nuclear membrane and active transport. In order to bridge the gap between in vivo and in silico experiments, we investigate more realistic cell geometries by using an imported image of a real cell as our computational domain. For the extended p53-Mdm2 model, we consider the effect of microtubule-disrupting drugs and proteasome inhibitor drugs, obtaining results that are in agreement with experimental studies.

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The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
United States 1 3%
Germany 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 31%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Professor 2 7%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Physics and Astronomy 5 17%
Biochemistry, Genetics and Molecular Biology 4 14%
Mathematics 3 10%
Arts and Humanities 1 3%
Other 1 3%
Unknown 4 14%
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 05 October 2012.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Bulletin of Mathematical Biology
#1,009
of 1,110 outputs
Outputs of similar age
#147,889
of 162,911 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#2
of 2 outputs
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