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首页> 外文期刊>Journal of Mathematical Biology >Generalizing a mathematical model of prion aggregation allows strain coexistence and co-stability by including a novel misfolded species
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Generalizing a mathematical model of prion aggregation allows strain coexistence and co-stability by including a novel misfolded species

机译:概括朊病毒聚集的数学模型允许通过包括一种新的错误折叠物种来应变共存和共同稳定性

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Prions are proteins capable of adopting misfolded conformations and transmitting these conformations to other normally folded proteins. Prions are most commonly known for causing fatal neurodegenerative diseases in mammals but are also associated with several harmless phenotypes in yeast. A distinct feature of prion propagation is the existence of different phenotypical variants, called strains. It is widely accepted that these strains correspond to different conformational states of the protein, but the mechanisms driving their interactions remain poorly understood. This study uses mathematical modeling to provide insight into this problem. We show that the classical model of prion dynamics allows at most one conformational strain to stably propagate. In order to conform to biological observations of strain coexistence and co-stability, we develop an extension of the classical model by introducing a novel prion species consistent with biological studies. Qualitative analysis of this model reveals a new variety of behavior. Indeed, it allows for stable coexistence of different strains in a wide parameter range, and it also introduces intricate initial condition dependency. These new behaviors are consistent with experimental observations of prions in both mammals and yeast. As such, our model provides a valuable tool for investigating the underlying mechanisms of prion propagation and the link between prion strains and strain specific phenotypes. The consideration of a novel prion species brings a change in perspective on prion biology and we use our model to generate hypotheses about prion infectivity.
机译:朊病毒是能够采用错误折叠的构象并将这些构象传递给其他通常折叠的蛋白质的蛋白质。朊病毒最常见的是导致哺乳动物的致命神经变性疾病,但也与酵母中的几种无害表型相关。朊病毒繁殖的不同特征是存在不同的表型变体,称为菌株。众所周知,这些菌株对应于蛋白质的不同构象状态,但驱动它们的相互作用的机制仍然明白。本研究使用数学建模来提供对此问题的洞察力。我们表明朊病毒动力学的经典模型允许大多数一个构象应变稳定地传播。为了符合应变共存和共同稳定的生物学观察,我们通过引入与生物学研究一致的新颖朊病毒物种来开发经典模型的延伸。对该模型的定性分析揭示了一种新的各种行为。实际上,它允许在宽的参数范围内稳定不同菌株的共存,并且还引入了复杂的初始条件依赖性。这些新行为与哺乳动物和酵母中的朊病毒的实验观察一致。因此,我们的模型提供了一种有价值的工具,用于研究朊病毒繁殖的潜在机制和朊病毒菌株和菌株特异性表型之间的联系。对新颖朊病毒物种的考虑在朊病毒生物学上提出了一种变化,我们使用我们的模型来产生关于朊病毒感染性的假设。

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