Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury PROJECT TITLE :Stochastic Petri.Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney InjuryABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Scale of Carbon Nanomaterials Affects Neural Outgrowth and Adhesion High-Performance E-Band Transceiver Chipset for Point-to-Point Communication in SiGe BiCMOS Technology