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Article detail · 2018 · article

Two-Dimensional Polynomial Type Canonical Relaxation Oscillator Model for p53 Dynamics

ISSN1751-8849
YÖKSİS OpenAlex Open access · green
Year2018
Citations6OpenAlex
Percentile%56.1
FWCI0.251.00 = world average
Scopus (SJR)Q3
WoS (JCR)Q3

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueIET Systems Biology
  • Catalog match (ISSN)IET Systems Biology
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex English

p53 network, which is responsible for DNA damage response of cells, exhibits three distinct qualitative behaviours; low state, oscillation and high state, which are associated with normal cell cycle progression, cell cycle arrest and apoptosis, respectively. The experimental studies demonstrate that these dynamics of p53 are due to the ATM and Wip1 interaction. This paper proposes a simple two-dimensional canonical relaxation oscillator model based on the identified topological structure of ATM and Wip1 interaction underlying these qualitative behaviours of p53 network. The model includes only polynomial terms that have the interpretability of known ATM and Wip1 interaction. The introduced model is useful for understanding relaxation oscillations in gene regulatory networks. Through mathematical analysis, we investigate the roles of ATM and Wip1 in forming of these three essential behaviours, and show that ATM and Wip1 constitute the core mechanism of p53 dynamics. In agreement with biological findings, we show that Wip1 degradation term is a highly sensitive parameter, possibly related to mutations. By perturbing the corresponding parameters, our model characterizes some mutations such as ATM deficiency and Wip1 overexpression. Finally, we provide intervention strategies considering our observation that Wip1 seems to be an important target to conduct therapies for these mutations.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

6citationsOpenAlex · cited_by_count (cache / database)

5 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2022 Piecewise parametric chaotic model of p53 network based on the identified unifying framework of divergent p53 dynamicsCitations 4 · OpenAlex
  2. 2024 Construction of a Waddington-like landscape model that can guide clinical exploration of p53-dynamics-activating parameters in the face of divergent p53 dynamicsCitations 2 · OpenAlex
  3. 2019 Imaging the Cell Fate based on the Concept of ApoptogramCitations 2 · OpenAlex
  4. 2020 Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenonCitations 1 · OpenAlex
  5. 2020 Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenonCitations 1 · OpenAlex

Authors

3
  1. GÖKHAN DEMİRKIRAN YAŞAR ÜNİVERSİTESİ 1
  2. GÜLESER KALAYCI DEMİR DOKUZ EYLÜL ÜNİVERSİTESİ 2
  3. CÜNEYT GÜZELİŞ İZMİR EKONOMİ ÜNİVERSİTESİ 3