Computational Modeling of the Stereocilia Plasma Membrane

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
Sriya Pothapragada,  and , Jeffery B. Klauda*, 
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引用次数: 0

Abstract

Stereocilia are hair-like bundles found in the inner ear that are primarily responsible for the mechanosensory transduction mechanisms that allow us to hear and interpret sound. Stereocilia possess tip links with tension-gated ion channels, which when opened translocate Ca2+ ions, resulting in a depolarization event that triggers signal transmission to the cochlear nerve. Degeneration of the stereocilia structure interferes with this complex process, potentially leading to non-syndromic hearing loss. As such, there has been a focus on understanding the mechanical properties of its lipid bilayer important to mechanosensory transduction and providing model stereocilia membranes for future study. We aim to do this through the development and simulation of an asymmetric model stereocilia bilayer, using molecular dynamics with the CHARMM36 all-atom lipid force field. In studying the different biophysical membrane properties between symmetric and asymmetric model membranes, we observe increases in hydrogen bonding potential, changes in lipid headgroup lateral clustering patterns, and electron density profiles that could propagate stability in the asymmetric model membrane. We aim to apply this to understand the compositions or states of the stereocilia plasma membrane, which could play a role in the complex mechanotransduction pathway.

Abstract Image

立体纤毛质膜的计算模型。
立体纤毛是在内耳中发现的毛发状束,主要负责机械感觉转导机制,使我们能够听到和理解声音。立体纤毛具有与张力门控离子通道的尖端连接,当打开时,该通道会转运Ca2+离子,导致去极化事件,触发信号传递到耳蜗神经。直立纤毛结构的退化干扰了这一复杂的过程,可能导致非综合征性听力损失。因此,了解其脂质双分子层的力学特性对机械感觉转导很重要,并为未来的研究提供立体纤毛膜模型一直是人们关注的焦点。我们的目标是通过开发和模拟不对称立体纤毛双层模型,利用CHARMM36全原子脂质力场的分子动力学来实现这一目标。在研究对称和不对称模型膜之间不同的生物物理膜特性时,我们观察到氢键电位的增加,脂质头基团横向聚类模式的变化,以及在不对称模型膜中传播稳定性的电子密度分布。我们的目标是利用这一点来了解立体纤毛质膜的组成或状态,这可能在复杂的机械转导途径中发挥作用。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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