External noise-induced stochastic resonance and stochastic transitions in p53-Mdm2 regulatory network

Because noise is an inevitable attribute in gene regulatory networks, a stochastic differential equations model is constructed to study the impact of external noise on p53-Mdm2 regulatory network. Near the Hopf bifurcation of the corresponding deterministic model, external noise can induce stochastic resonance. When three stable steady states coexist in the corresponding deterministic model, external noise can lead to stochastic transition. Therefore, external noise can not only expand the parameter range of p53 regulatory network oscillations, but also increase the amplitude of p53 regulatory network oscillations, and is closely related to the outcome of cell fate. These findings deepen our understanding of the impact of external noise on gene regulatory networks and may provide new perspectives for the treatment of related diseases.

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Publication Details

Journal
International Journal of Biomathematics
Published
2024-08-29
DOI
https://doi.org/10.1142/s1793524524501158
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

External noise-induced stochastic resonance and stochastic transitions in p53-Mdm2 regulatory network

Kaifa Wang, Cuicui Jiang, Chenxi Dai
International Journal of Biomathematics
Gene Regulatory Network Analysis
article

External noise-induced stochastic resonance and stochastic transitions in p53-Mdm2 regulatory network

Kaifa Wang, Cuicui Jiang, Chenxi Dai
article en

Abstract

Because noise is an inevitable attribute in gene regulatory networks, a stochastic differential equations model is constructed to study the impact of external noise on p53-Mdm2 regulatory network. Near the Hopf bifurcation of the corresponding deterministic model, external noise can induce stochastic resonance. When three stable steady states coexist in the corresponding deterministic model, external noise can lead to stochastic transition. Therefore, external noise can not only expand the parameter range of p53 regulatory network oscillations, but also increase the amplitude of p53 regulatory network oscillations, and is closely related to the outcome of cell fate. These findings deepen our understanding of the impact of external noise on gene regulatory networks and may provide new perspectives for the treatment of related diseases.

International Journal of Biomathematics
Southwest University (CN), Army Medical University (CN), Academy of Military Medical Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 87%
Gene Regulatory Network Analysis
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