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Journal article

Mathematical modelling of stretch-induced membrane traffic in bladder umbrella cells

Abstract:
The bladder is a complex organ that is highly adaptive to its mechanical environment. The umbrella cells in the bladder uroepithelium are of particular interest: these cells actively change their surface area through exo- and endocytosis of cytoplasmic vesicles, and likely form a critical component in the mechanosensing process that communicates the sense of 'fullness' to the nervous system. In this paper we develop a first mechanical model for vesicle trafficking in umbrella cells in response to membrane tension during bladder filling. Recent experiments conducted on a disc of uroepithelial tissue motivate our model development. These experiments subject bladder tissue to fixed pressure differences and exhibit counterintuitive area changes. Through analysis of the mathematical model and comparison with experimental data in this setup, we gain an intuitive understanding of the biophysical processes involved and calibrate the vesicle trafficking rate parameters in our model. We then adapt the model to simulate in vivo bladder filling and investigate the potential effect of abnormalities in the vesicle trafficking machinery on bladder pathologies.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jtbi.2016.08.032

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


Publisher:
Elsevier
Journal:
Journal of Theoretical Biology More from this journal
Volume:
409
Pages:
115-132
Publication date:
2016-08-31
Acceptance date:
2016-08-24
DOI:
EISSN:
1095-8541
ISSN:
0022-5193
Pmid:
27590325


Language:
English
Keywords:
Pubs id:
pubs:642210
UUID:
uuid:5ddb75f2-a8db-4d07-9de5-53c579239c7c
Local pid:
pubs:642210
Source identifiers:
642210
Deposit date:
2016-10-14

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