A dynamic model of the hypoxia-inducible factor 1 (HIF-1α) network

Files in This Item:
File Description SizeFormat 
Paper45.pdf8.02 MBAdobe PDFDownload
Title: A dynamic model of the hypoxia-inducible factor 1 (HIF-1α) network
Authors: Nguyen, Lan K.
Cavadas, Miguel A. S.
Scholz, Carsten C.
et al.
Permanent link: http://hdl.handle.net/10197/5066
Date: 6-Feb-2013
Abstract: Activation of the hypoxia-inducible factor (HIF) pathway is a critical step in the transcriptional response to hypoxia. Although many of the key proteins involved have been characterised, the dynamics of their interactions in generating this response remain unclear. In the present study, we have generated a comprehensive mathematical model of the HIF-1α pathway based on core validated components and dynamic experimental data, and confirm the previously described connections within the predicted network topology. Our model confirms previous work demonstrating that the steps leading to optimal HIF-1α transcriptional activity require sequential inhibition of both prolyl- and asparaginyl-hydroxylases. We predict from our model (and confirm experimentally) that there is residual activity of the asparaginyl-hydroxylase FIH (factor inhibiting HIF) at low oxygen tension. Furthermore, silencing FIH under conditions where prolyl-hydroxylases are inhibited results in increased HIF-1α transcriptional activity, but paradoxically decreases HIF-1α stability. Using a core module of the HIF network and mathematical proof supported by experimental data, we propose that asparaginyl hydroxylation confers a degree of resistance upon HIF-1α to proteosomal degradation. Thus, through in vitro experimental data and in silico predictions, we provide a comprehensive model of the dynamic regulation of HIF-1α transcriptional activity by hydroxylases and use its predictive and adaptive properties to explain counter-intuitive biological observations.
Type of material: Journal Article
Publisher: The Company of Biologists
Journal: Journal of Cell Science
Volume: 126
Issue: 6
Start page: 1454
End page: 1463
Copyright (published version): 2013 The Company of Biologists
Keywords: HypoxiaHIFFIHHydroxylaseMathematical model
DOI: 10.1242/jcs.119974
Language: en
Status of Item: Peer reviewed
Appears in Collections:SBI Research Collection

Show full item record

Citations 5

Last Week
Last month
checked on Oct 11, 2018

Page view(s) 50

checked on May 25, 2018

Download(s) 50

checked on May 25, 2018

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.