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.
Authors
- Kaifa Wang (ORCID: https://orcid.org/0000-0002-6787-5018)
- Cuicui Jiang (ORCID: https://orcid.org/0009-0001-0833-8191)
- Chenxi Dai (ORCID: https://orcid.org/0000-0003-1067-6402)
Institutions
- Southwest University (CN)
- Army Medical University (CN)
- Academy of Military Medical Sciences (CN)
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
Funders
- National Natural Science Foundation of China