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

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

Heidary Z¹ ; Ghaisari J¹ ; Moein S² ; Naderi M³ ; Gheisari Y⁴

Source: IEEE Transactions on Nanobioscience Published:2016

Abstract

Homing of stem cells to the sites of injury is crucial for tissue regeneration. Stromal derived factor 1 (SDF-1) is among the most important chemokines recruiting these cells. Unexpectedly, our previous experimental data on mouse models of acute kidney injury showed that SDF-1 has a declining trend following ischemic kidney insult. To describe this unforeseen observation, a stochastic Petri net model of SDF-1 regulation in the hypoxia pathway was constructed based on main related components extracted from literature. Using this strategy, predictions regarding 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 suggested here can be exploited to propose novel therapies for debilitating disorders such as kidney injury. © 2015 IEEE.

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Yousof Gheisari (1)

Style	Citing Format
MLA	Heidary Z, et al.. "Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury." IEEE Transactions on Nanobioscience, vol. 15, no. 1, 2016, pp. 19-26.
APA	Heidary Z, Ghaisari J, Moein S, Naderi M, Gheisari Y (2016). Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury. IEEE Transactions on Nanobioscience, 15(1), 19-26.
Chicago	Heidary Z, Ghaisari J, Moein S, Naderi M, Gheisari Y. "Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury." IEEE Transactions on Nanobioscience 15, no. 1 (2016): 19-26.
Harvard	Heidary Z et al. (2016) 'Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury', IEEE Transactions on Nanobioscience, 15(1), pp. 19-26.
Vancouver	Heidary Z, Ghaisari J, Moein S, Naderi M, Gheisari Y. Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury. IEEE Transactions on Nanobioscience. 2016;15(1):19-26.
BibTex	@article{ author = {Heidary Z and Ghaisari J and Moein S and Naderi M and Gheisari Y}, title = {Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury}, journal = {IEEE Transactions on Nanobioscience}, volume = {15}, number = {1}, pages = {19-26}, year = {2016} }
RIS	TY - JOUR AU - Heidary Z AU - Ghaisari J AU - Moein S AU - Naderi M AU - Gheisari Y TI - Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling Sdf-1 Expression in Acute Kidney Injury JO - IEEE Transactions on Nanobioscience VL - 15 IS - 1 SP - 19 EP - 26 PY - 2016 ER -

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