Understanding complexity in the HIF signaling pathway using systems biology and mathematical modeling

Title: Understanding complexity in the HIF signaling pathway using systems biology and mathematical modeling
Other Titles: Modeling the HIF pathway
Authors: Fábián, ZsoltTaylor, Cormac T.Nguyen, Lan K.
Permanent link: http://hdl.handle.net/10197/9126
Date: Apr-2016
Online since: 2017-12-19T17:20:01Z
Abstract: Hypoxia is a common micro-environmental stress which is experienced by cells during a range of physiologic and pathophysiologic processes. The identification of the hypoxia-inducible factor (HIF) as the master regulator of the transcriptional response to hypoxia transformed our understanding of the mechanism underpinning the hypoxic response at the molecular level and identified HIF as a potentially important new therapeutic target. It has recently become clear that multiple levels of regulatory control exert influence on the HIF pathway giving the response a complex and dynamic activity profile. These include positive and negative feedback loops within the HIF pathway as well as multiple levels of crosstalk with other signaling pathways. The emerging model reflects a multi-level regulatory network that affects multiple aspects of the physiologic response to hypoxia including proliferation, apoptosis, and differentiation. Understanding the interplay between the molecular mechanisms involved in the dynamic regulation of the HIF pathway at a systems level is critically important in defining new appropriate therapeutic targets for human diseases including ischemia, cancer, and chronic inflammation. Here, we review our current knowledge of the regulatory circuits which exert influence over the HIF response and give examples of in silico model-based predictions of the dynamic behaviour of this system.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Journal: Journal of Molecular Medicine
Volume: 94
Issue: 4
Start page: 377
End page: 390
Copyright (published version): 2016 Springer-Verlag Berlin Heidelberg
Keywords: HypoxiaInflammationMathematical modelSignal transduction
DOI: 10.1007/s00109-016-1383-6
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Conway Institute Research Collection
SBI Research Collection

Show full item record

Citations 50

Last Week
Last month
checked on Sep 12, 2020

Page view(s)

Last Week
Last month
checked on Dec 2, 2022

Download(s) 50

checked on Dec 2, 2022

Google ScholarTM



If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.