Song Minho S, Moon Hyungseok C, Jeon Jae-Hyung, Park Hye Yoon
Department of Physics and Astronomy, Seoul National University, Seoul, 08826, Korea.
Department of Physics, Pohang University of Science and Technology, Pohang, 37673, Korea.
Nat Commun. 2018 Jan 24;9(1):344. doi: 10.1038/s41467-017-02700-z.
Localization of messenger ribonucleoproteins (mRNPs) plays an essential role in the regulation of gene expression for long-term memory formation and neuronal development. Knowledge concerning the nature of neuronal mRNP transport is thus crucial for understanding how mRNPs are delivered to their target synapses. Here, we report experimental and theoretical evidence that the active transport dynamics of neuronal mRNPs, which is distinct from the previously reported motor-driven transport, follows an aging Lévy walk. Such nonergodic, transient superdiffusion occurs because of two competing dynamic phases: the motor-involved ballistic run and static localization of mRNPs. Our proposed Lévy walk model reproduces the experimentally extracted key dynamic characteristics of mRNPs with quantitative accuracy. Moreover, the aging status of mRNP particles in an experiment is inferred from the model. This study provides a predictive theoretical model for neuronal mRNP transport and offers insight into the active target search mechanism of mRNP particles in vivo.
信使核糖核蛋白(mRNP)的定位在长期记忆形成和神经元发育的基因表达调控中起着至关重要的作用。因此,了解神经元mRNP转运的本质对于理解mRNP如何被输送到其靶突触至关重要。在此,我们报告实验和理论证据表明,神经元mRNP的主动转移动力学不同于先前报道的由马达驱动的转运,遵循老化的 Lévy 行走。这种非遍历性、瞬态超扩散是由于两个相互竞争的动态阶段引起的:涉及马达的弹道式运行和mRNP的静态定位。我们提出的 Lévy 行走模型以定量精度再现了从实验中提取的mRNP的关键动态特征。此外,从该模型推断出实验中mRNP颗粒的老化状态。本研究为神经元mRNP转运提供了一个预测性理论模型,并深入了解了mRNP颗粒在体内的主动靶标搜索机制。