Transition and identification of pathological states in p53 dynamics for therapeutic intervention
Abstract We study a minimal model of the stress-driven p53 regulatory network that includes competition between active and mutant forms of the tumor-suppressor gene p53. Depending on the nature and level of the external stress signal, four distinct dynamical states of p53 are observed. These states...
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2021
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oai:doaj.org-article:8b1c7848d1d04c9482ce50d506332f2f2021-12-02T13:57:49ZTransition and identification of pathological states in p53 dynamics for therapeutic intervention10.1038/s41598-021-82054-12045-2322https://doaj.org/article/8b1c7848d1d04c9482ce50d506332f2f2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82054-1https://doaj.org/toc/2045-2322Abstract We study a minimal model of the stress-driven p53 regulatory network that includes competition between active and mutant forms of the tumor-suppressor gene p53. Depending on the nature and level of the external stress signal, four distinct dynamical states of p53 are observed. These states can be distinguished by different dynamical properties which associate to active, apoptotic, pre-malignant and cancer states. Transitions between any two states, active, apoptotic, and cancer, are found to be unidirectional and irreversible if the stress signal is either oscillatory or constant. When the signal decays exponentially, the apoptotic state vanishes, and for low stress the pre-malignant state is bounded by two critical points, allowing the system to transition reversibly from the active to the pre-malignant state. For significantly large stress, the range of the pre-malignant state expands, and the system moves to irreversible cancerous state, which is a stable attractor. This suggests that identification of the pre-malignant state may be important both for therapeutic intervention as well as for drug delivery.Amit JangidMd. Zubbair MalikRam RamaswamyR. K. Brojen SinghNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Amit Jangid Md. Zubbair Malik Ram Ramaswamy R. K. Brojen Singh Transition and identification of pathological states in p53 dynamics for therapeutic intervention |
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Abstract We study a minimal model of the stress-driven p53 regulatory network that includes competition between active and mutant forms of the tumor-suppressor gene p53. Depending on the nature and level of the external stress signal, four distinct dynamical states of p53 are observed. These states can be distinguished by different dynamical properties which associate to active, apoptotic, pre-malignant and cancer states. Transitions between any two states, active, apoptotic, and cancer, are found to be unidirectional and irreversible if the stress signal is either oscillatory or constant. When the signal decays exponentially, the apoptotic state vanishes, and for low stress the pre-malignant state is bounded by two critical points, allowing the system to transition reversibly from the active to the pre-malignant state. For significantly large stress, the range of the pre-malignant state expands, and the system moves to irreversible cancerous state, which is a stable attractor. This suggests that identification of the pre-malignant state may be important both for therapeutic intervention as well as for drug delivery. |
format |
article |
author |
Amit Jangid Md. Zubbair Malik Ram Ramaswamy R. K. Brojen Singh |
author_facet |
Amit Jangid Md. Zubbair Malik Ram Ramaswamy R. K. Brojen Singh |
author_sort |
Amit Jangid |
title |
Transition and identification of pathological states in p53 dynamics for therapeutic intervention |
title_short |
Transition and identification of pathological states in p53 dynamics for therapeutic intervention |
title_full |
Transition and identification of pathological states in p53 dynamics for therapeutic intervention |
title_fullStr |
Transition and identification of pathological states in p53 dynamics for therapeutic intervention |
title_full_unstemmed |
Transition and identification of pathological states in p53 dynamics for therapeutic intervention |
title_sort |
transition and identification of pathological states in p53 dynamics for therapeutic intervention |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/8b1c7848d1d04c9482ce50d506332f2f |
work_keys_str_mv |
AT amitjangid transitionandidentificationofpathologicalstatesinp53dynamicsfortherapeuticintervention AT mdzubbairmalik transitionandidentificationofpathologicalstatesinp53dynamicsfortherapeuticintervention AT ramramaswamy transitionandidentificationofpathologicalstatesinp53dynamicsfortherapeuticintervention AT rkbrojensingh transitionandidentificationofpathologicalstatesinp53dynamicsfortherapeuticintervention |
_version_ |
1718392271923052544 |