2014
DOI: 10.1074/jbc.m113.500405
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Tight Control of Hypoxia-inducible Factor-α Transient Dynamics Is Essential for Cell Survival in Hypoxia

Abstract: Background: Hypoxia inducible factor-α (HIF-α) is the main transcription factor activated in low oxygen conditions.Results: Single cell imaging reveals pulses in nuclear levels of HIF-α.Conclusion: The transient nature of the HIF-α nuclear accumulation is required to avoid cell death.Significance: The duration of HIF-α response depends on cellular oxygenation, and can encode information and dictate cell fate.

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Cited by 59 publications
(81 citation statements)
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“…This observation is further supported by doseresponse simulations showing that the steady-state level of HIF-1 exponentially depends on the PHD2 mediated feedback strength while it is relatively insensitive to change in feedback strength mediated by PHD3 ( Figure 2F). These simulations are in agreement with the conclusions in previous reports suggesting PHD2 to be the more dominant isoform in driving HIF-1 transient response [34,35]. Further questions could be asked.…”
Section: Which Phd Isoforms Control the Transient Dynamics Of Hif-1?supporting
confidence: 91%
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“…This observation is further supported by doseresponse simulations showing that the steady-state level of HIF-1 exponentially depends on the PHD2 mediated feedback strength while it is relatively insensitive to change in feedback strength mediated by PHD3 ( Figure 2F). These simulations are in agreement with the conclusions in previous reports suggesting PHD2 to be the more dominant isoform in driving HIF-1 transient response [34,35]. Further questions could be asked.…”
Section: Which Phd Isoforms Control the Transient Dynamics Of Hif-1?supporting
confidence: 91%
“…Yet, the fact that both PHD2 and PHD3 form negative feedback loops with HIF-1 posed questions of whether they are functionally redundant, and if not, how different are individual isoforms in modulating HIF timing, duration and signaling amplitude? To probe these questions, we adapted a model recently developed by Bagnall et al which was trained using single-cell imaging data of HIF dynamic profiles [34]. The schematic diagram of this model is given in Figure 2A, and detailed model information is presented in the Supplementary Materials (SM).…”
Section: Which Phd Isoforms Control the Transient Dynamics Of Hif-1?mentioning
confidence: 99%
“…Human signaling proteins show a wide range of dynamical behaviors including pulses [13, 18, 23], bursts [14], oscillations [24], switches [25], and decays [26]. One of the best-studied proteins in single cells is the stress response factor NF-κB.…”
Section: Single-cell Dynamics Of Human Signaling Proteinsmentioning
confidence: 99%
“…We first introduce some of the different patterns of signaling observed in individual cells across different cellular pathways. Since this topic has been reviewed elsewhere in depth [11, 12], we provide a brief overview of the variety of signaling patterns observed among mammalian proteins and highlight the insight gained from an exciting set of recent studies [1, 1318]. These studies are drawn together by a common set of computational approaches used to analyze signaling patterns in individual cells.…”
Section: Introductionmentioning
confidence: 99%
“…This article joins the growing body of literature demonstrating that hypoxia-inducible factor (H IF)-la is a significant contributor to the cellular signaling pathways that are involved in the body's adaptive response to hypoxia (2-4). Posttranslational modifi cations of this oxygen-sensitive transcription factor have been demonstrated to be involved in hypoxia-induced apoptosis (5) and the cell's ability to survive in hypoxia-associated con ditions (6). Furthermore, due to the purported role of HIFl a in tumor growth and angiogenesis (7), polymorphisms in H IF -la genotypes have been proposed to be associated with an increased risk of a variety of malignancies, including lung cancer, pancreatic cancer, prostate cancer, renal cell carcinoma, multiple myeloma, and head and neck cancer (8)(9)(10)(11).…”
mentioning
confidence: 99%