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Updated: May 10, 2026
09:17
Co-immunoprecipitation Assay Using Endogenous Nuclear Proteins from Cells Cultured Under Hypoxic Conditions
Published on: August 2, 2018
Hypoxia-inducible factor (HIF) network: insights from mathematical models
Miguel As Cavadas1, Lan K Nguyen, Alex Cheong
1Systems Biology Ireland, University College Dublin, Dublin 4, Ireland. alex.cheong@ucd.ie.
Cell Communication and Signaling : CCS
|June 14, 2013
Summary
Mathematical models illuminate the hypoxia-inducible factor (HIF) pathway, revealing insights into cellular adaptation to low oxygen. This review explores how these models enhance understanding of HIF regulation and its role in diseases like cancer.
Area of Science:
- Cellular Biology
- Systems Biology
- Physiology
Background:
- Oxygen is vital for cell function; insufficient supply triggers the hypoxia-inducible factor (HIF) pathway.
- HIF regulates genes for adaptation, including angiogenesis, erythropoiesis, and glycolysis.
- HIF regulation involves prolyl hydroxylase domain (PHD) enzymes and factor inhibiting HIF-1 (FIH).
Purpose of the Study:
- To review mathematical models of the HIF pathway.
- To analyze how these models explain HIF pathway behaviors and provide insights.
- To discuss future modeling directions for complex diseases.
Main Methods:
- Review of existing mathematical models of the HIF signaling pathway.
- Analysis of modeling topics: switch-like responses, microenvironmental factors, FIH regulation, and temporal dynamics.
- Discussion of model limitations and future applications in disease contexts.
Main Results:
- Mathematical models have elucidated the switch-like response to hypoxia.
- Models have provided insights into the roles of FIH and microenvironmental factors.
- The review highlights the contribution of modeling to understanding HIF pathway complexity.
Conclusions:
- Mathematical modeling is essential for understanding the intricate HIF pathway.
- Future modeling of interconnected networks can reveal HIF behavior in diseases.
- This approach may identify novel therapeutic targets for hypoxia-related conditions.
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