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温度敏感的接触模式通过变构作用控制瞬时受体电位香草酸亚型3(TRPV3)。

Temperature-Sensitive Contact Modes Allosterically Gate TRPV3.

作者信息

Burns Dan, Venditti Vincenzo, Potoyan Davit A

出版信息

bioRxiv. 2023 Sep 8:2023.01.02.522497. doi: 10.1101/2023.01.02.522497.

Abstract

TRPV Ion channels are sophisticated molecular sensors designed to respond to distinct temperature thresholds. The recent surge in cryo-EM structures has provided numerous insights into the structural rearrangements accompanying their opening and closing; however, the molecular mechanisms by which TRPV channels establish precise and robust temperature sensing remain elusive. In this work we employ molecular simulations, multi-ensemble contact analysis, graph theory, and machine learning techniques to reveal the temperature-sensitive residue-residue interactions driving allostery in TRPV3. We find that groups of residues exhibiting similar temperature-dependent contact frequency profiles cluster at specific regions of the channel. The dominant mode clusters on the ankyrin repeat domain and displays a linear melting trend while others display non-linear trends. These modes describe the residue-level temperature response patterns that underlie the channel's functional dynamics. With network analysis, we find that the community structure of the channel changes with temperature. And that a network of high centrality contacts connects distant regions of the protomer to the gate, serving as a means for the temperature-sensitive contact modes to allosterically regulate channel gating. Using a random forest model, we show that the contact states of specific temperature-sensitive modes are indeed predictive of the channel gate's state. Supporting the physical validity of these modes and networks are several residues identified with our analyses that are reported in literature to be functionally critical. Our results offer high resolution insight into thermo-TRP channel function and demonstrate the utility of temperature-sensitive contact analysis.

摘要

瞬时受体电位香草酸(TRPV)离子通道是复杂的分子传感器,旨在对不同的温度阈值做出反应。最近低温电子显微镜结构的激增为其打开和关闭时伴随的结构重排提供了许多见解;然而,TRPV通道建立精确而稳健的温度传感的分子机制仍然难以捉摸。在这项工作中,我们采用分子模拟、多系综接触分析、图论和机器学习技术来揭示驱动TRPV3变构的温度敏感残基-残基相互作用。我们发现,表现出相似温度依赖性接触频率分布的残基组聚集在通道的特定区域。主导模式聚集在锚蛋白重复结构域上,并呈现线性解链趋势,而其他模式则呈现非线性趋势。这些模式描述了构成通道功能动力学基础的残基水平温度响应模式。通过网络分析,我们发现通道的群落结构随温度变化。并且,一个高中心性接触网络将原体的远距离区域连接到门控,作为温度敏感接触模式变构调节通道门控的一种方式。使用随机森林模型,我们表明特定温度敏感模式的接触状态确实可以预测通道门控的状态。我们的分析确定了几个在文献中报道为功能关键的残基,这支持了这些模式和网络的物理有效性。我们的结果为热TRP通道功能提供了高分辨率的见解,并证明了温度敏感接触分析的实用性。

相似文献

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Temperature sensitive contact modes allosterically gate TRPV3.温度敏感的接触模式变构门控 TRPV3。
PLoS Comput Biol. 2023 Oct 13;19(10):e1011545. doi: 10.1371/journal.pcbi.1011545. eCollection 2023 Oct.
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