Taguchi Yuzuru, Nishida Noriyuki
Division of Cellular and Molecular Biology, Department of Molecular Microbiology and Immunology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, JAPAN.
PLoS One. 2017 Feb 15;12(2):e0171974. doi: 10.1371/journal.pone.0171974. eCollection 2017.
Prions are unique infectious agents, consisting solely of abnormally-folded prion protein (PrPSc). However, they possess virus-like features, including strain diversity, the ability to adapt to new hosts and to be altered evolutionarily. Because prions lack genetic material (DNA and RNA), these biological phenomena have been attributed to the structural properties of PrPSc. Therefore, many structural models of the structure of PrPSc have been proposed based on the limited structural information available, regardless of the incompatibility with high-resolution structural analysis. Recently hypothesized models consist solely of β-sheets and intervening loops/kinks; i.e. parallel in-register β-sheet and β-solenoid models. Owing to the relative simplicity of these structural models of PrPSc, we hypothesized that numerical conversion of the primary structures with a relevant algorithm would enable quantitative comparison between PrPs of distinct primary structures. We therefore used the theoretical values of β-sheet (Pβ) and random-coil (Pc) propensity calculated by secondary structure prediction with a neural network, to analyze interspecies transmission of prions. By reviewing experiments in the literature, we ascertained the biological relevance of Pβ and Pc and found that these classical parameters surprisingly carry substantial information of amyloid structures. We also demonstrated how these parameters could aid in interpreting and explaining phenomena in interspecies transmissions. Our approach can lead to the development of a versatile tool for investigating not only prions but also other amyloids.
朊病毒是独特的传染性因子,仅由异常折叠的朊病毒蛋白(PrPSc)组成。然而,它们具有类似病毒的特征,包括毒株多样性、适应新宿主以及在进化过程中发生改变的能力。由于朊病毒缺乏遗传物质(DNA和RNA),这些生物学现象被归因于PrPSc的结构特性。因此,尽管与高分辨率结构分析不兼容,但基于有限的可用结构信息,已经提出了许多PrPSc结构的模型。最近假设的模型仅由β-折叠和中间的环/扭结组成;即平行同向β-折叠和β-螺线管模型。由于这些PrPSc结构模型相对简单,我们假设用相关算法对一级结构进行数值转换将能够对不同一级结构的朊病毒蛋白进行定量比较。因此,我们使用通过神经网络二级结构预测计算得到的β-折叠(Pβ)和无规卷曲(Pc)倾向的理论值,来分析朊病毒的种间传播。通过回顾文献中的实验,我们确定了Pβ和Pc的生物学相关性,并发现这些经典参数惊人地携带了淀粉样蛋白结构的大量信息。我们还展示了这些参数如何有助于解释和说明种间传播中的现象。我们的方法不仅可以开发一种用于研究朊病毒,还可用于研究其他淀粉样蛋白的通用工具。