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In response to DNA damage, cells can pause the cell cycle to assess and repair the breaks. However, the cell must check the DNA at certain critical stages during the cell cycle. If the cell cycle pauses before DNA replication, the cells will contain twice the amount of DNA. On the other hand, if cells arrest after DNA replication but before mitosis, they will contain four times the normal amount of DNA. With a host of specialized proteins at their disposal,cells must use the right protein at...
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Under normal conditions, most adult cells remain in a non-proliferative state unless stimulated by internal or external factors to replace lost cells. Abnormal cell proliferation is a condition in which the cell's growth exceeds and is uncoordinated with normal cells. In such situations, cell division persists in the same excessive manner even after cessation of the stimuli, leading to persistent tumors. The tumor arises from the damaged cells that replicate to pass the damage to the...
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Positive regulators allow a cell to advance through cell cycle checkpoints. Negative regulators have an equally important role as they terminate a cell’s progression through the cell cycle—or pause it—until the cell meets specific criteria.
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Several external and internal factors influence the initiation and inhibition of cell division. For instance, the death of nearby cells or the release of human growth hormone (hGH) promotes cell division. In contrast, lack of hGH or crowding of cells can inhibit cell division.
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Yeast As a Chassis for Developing Functional Assays to Study Human P53
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在p53循环中的外部波动.

Manuel Eduardo Hernández-García1, Mariana Gómez-Schiavon2,3, Jorge Velázquez-Castro1

  • 1Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Heroica Puebla de Zaragoza 72570, Mexico.

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概括

外在波动,如温度变化,显著影响生物系统的动态和振荡. 这项研究使用普通微分方程高效地建模了这些效应,揭示了改变的p53振荡模式.

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科学领域:

  • 系统生物学 系统生物学
  • 生物物理学的生物物理.
  • 计算生物学 计算生物学

背景情况:

  • 生物系统表现出固有的波动 (内在和外在) 影响稳定性和行为.
  • 研究外部波动,例如温度变化,会带来计算方面的挑战.
  • 了解波动相互作用对于理解生物现象至关重要.

研究的目的:

  • 分析外部波动对随机生物系统的影响.
  • 开发一种计算效率高的方法来研究外部效应.
  • 在生物振荡器模型中研究温度诱导的波动.

主要方法:

  • 使用普通微分方程 (ODEs),而不是直接解决主方程.
  • 纳入反应速率中的温度波动.
  • 为计算效率的前两个时刻的动态计算了方程.
  • 将该方法应用于p53生物振荡器模型.

主要成果:

  • 证明了外在波动对生物振荡的重大影响.
  • 根据外部波动特征观察到振荡行为的变化.
  • 在p53度周期中报告了振荡幅度和频率的增加.
  • 与化学总方程相比,ODE方法在计算上被证明是有效的.

结论:

  • 外在波动对生物振荡动态有着重要的影响.
  • 开发的ODE方法为研究随机系统提供了一个有效的替代方案.
  • 考虑外部因素对于理解生物系统行为和与健康有关的问题至关重要.