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A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium

Abstract:

Our work addresses two key challenges, one biological and one methodological. First, we aim to understand how proliferation and cell migration rates in the intestinal epithelium are related under healthy, damaged (Ara-C treated) and recovering conditions, and how these relations can be used to identify mechanisms of repair and regeneration. We analyse new data, presented in more detail in a companion paper, in which BrdU/IdU cell-labelling experiments were performed under these respective con...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pcbi.1005688

Authors


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Funding agency for:
Maclaren, OJ
Grant:
BB/K018256/1
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Funding agency for:
Carding, SR
Grant:
BB/J004529/1
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Funding agency for:
Watson, AJM
Grant:
BB/J004529/1
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Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
13
Issue:
7
Pages:
e1005688
Publication date:
2017-07-28
Acceptance date:
2017-07-18
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Source identifiers:
709376
Pubs id:
pubs:709376
UUID:
uuid:003fbdb8-1f29-4379-92a3-d9a7237aff0b
Local pid:
pubs:709376
Deposit date:
2017-07-27

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