2014
DOI: 10.1016/j.mbs.2014.09.007
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Modeling the dynamics of hypoxia inducible factor-1α (HIF-1α) within single cells and 3D cell culture systems

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Cited by 25 publications
(15 citation statements)
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“…Computational modeling of the temporal dynamics of the HIF-1α response to hypoxia has indicated that regulation of HIF-1α is can be clearly mapped to the presence of defined negative feedback loops ( Cavadas et al, 2013 ). These include the activation of HIF-1α regulated prolyl hydroxylase (PHD) 2 and 3 enzymes ( Leedale et al, 2014 ), as well as other HIF regulators such as miR155 ( Bruning et al, 2011 ), miR-199a-5p, miR-93, and cRel ( Jiang et al, 2015 ).…”
Section: Introductionmentioning
confidence: 99%
“…Computational modeling of the temporal dynamics of the HIF-1α response to hypoxia has indicated that regulation of HIF-1α is can be clearly mapped to the presence of defined negative feedback loops ( Cavadas et al, 2013 ). These include the activation of HIF-1α regulated prolyl hydroxylase (PHD) 2 and 3 enzymes ( Leedale et al, 2014 ), as well as other HIF regulators such as miR155 ( Bruning et al, 2011 ), miR-199a-5p, miR-93, and cRel ( Jiang et al, 2015 ).…”
Section: Introductionmentioning
confidence: 99%
“…may cause the exact value to vary. However, it should be noted that the values used in the model appear feasible for the system and are the same order of magnitude as values found in other multicellular spheroid studies (Leedale et al, 2014, Lesher-Pérez et al, 2017. The Michaelis constant appears to be more difficult to ascertain as only measurements based upon rat studies have been made.…”
Section: Model Parameterisationmentioning
confidence: 77%
“…To determine oxygen transport parameters, the rate of oxygen diffusion through the spheroid was derived based on the modelling results of Leedale et al (2014). This previous model assumed linear oxygen consumption kinetics and optimised parameter values by fitting to oxygen distributions in cellular spheroids, measured under various external oxygen conditions.…”
Section: Model Parameterisationmentioning
confidence: 99%
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“…This approach, exemplified in Fig. 4 by the map of theoretically predicted subcellular PHD2 activity, may be particularly attractive for systems biology and hypoxia signaling research (34,45). At this stage, modeling of local PHD activity is mostly hypothetical, because our iO 2 maps are generated ex vivo.…”
Section: Discussionmentioning
confidence: 99%