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Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury

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PROJECT TITLE :

Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury

ABSTRACT:

Homing of stem cells to the sites of injury is crucial for tissue regeneration. Stromal derived issue one (SDF-one) is among the most necessary chemokines recruiting these cells. Unexpectedly, our previous experimental information on mouse models of acute kidney injury showed that SDF-one contains a declining trend following ischemic kidney insult. To describe this unforeseen observation, a stochastic Petri internet model of SDF-one regulation in the hypoxia pathway was constructed primarily based on main related components extracted from literature. Using this strategy, predictions relating to the underlying mechanisms of SDF-1 kinetics are generated and a novel incoherent feed forward loop regulating SDF-1 expression is proposed. The computational approach steered here can be exploited to propose novel therapies for debilitating disorders like kidney injury.


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Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury - 4.9 out of 5 based on 15 votes

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