Statistical modeling of mRNP transport in dendrites: A comparative analysis of β-actin and Arc mRNP dynamics.

IF 3.6 3区生物学 Q3 CELL BIOLOGY Traffic Pub Date : 2023-11-01 Epub Date: 2023-08-06 DOI:10.1111/tra.12913

Hyerim Ahn, Xavier Durang, Jae Youn Shim, Gaeun Park, Jae-Hyung Jeon, Hye Yoon Park

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Abstract

Localization of messenger RNA (mRNA) in dendrites is crucial for regulating gene expression during long-term memory formation. mRNA binds to RNA-binding proteins (RBPs) to form messenger ribonucleoprotein (mRNP) complexes that are transported by motor proteins along microtubules to their target synapses. However, the dynamics by which mRNPs find their target locations in the dendrite have not been well understood. Here, we investigated the motion of endogenous β-actin and Arc mRNPs in dissociated mouse hippocampal neurons using the MS2 and PP7 stem-loop systems, respectively. By evaluating the statistical properties of mRNP movement, we found that the aging Lévy walk model effectively describes both β-actin and Arc mRNP transport in proximal dendrites. A critical difference between β-actin and Arc mRNPs was the aging time, the time lag between transport initiation and measurement initiation. The longer mean aging time of β-actin mRNP (~100 s) compared with that of Arc mRNP (~30 s) reflects the longer half-life of constitutively expressed β-actin mRNP. Furthermore, our model also permitted us to estimate the ratio of newly generated and pre-existing β-actin mRNPs in the dendrites. This study offers a robust theoretical framework for mRNP transport, which provides insight into how mRNPs locate their targets in neurons.

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树突中mRNP转运的统计模型：β-肌动蛋白和Arc mRNP动力学的比较分析。

信使核糖核酸（信使核糖核酸）在树突中的定位对于调节长期记忆形成过程中的基因表达至关重要。mRNA与RNA结合蛋白（RBP）结合，形成信使核糖核蛋白（mRNP）复合物，由运动蛋白沿微管转运至其靶突触。然而，mRNP在树突中找到目标位置的动力学尚未得到很好的理解。在这里，我们分别使用MS2和PP7干环系统研究了分离的小鼠海马神经元中内源性β-肌动蛋白和Arc-mRNPs的运动。通过评估mRNP运动的统计特性，我们发现衰老的Lévy行走模型有效地描述了近端树突中的β-肌动蛋白和Arc mRNP转运。β-肌动蛋白和Arc-mRNPs之间的关键差异是老化时间、转运起始和测量起始之间的时间滞后。β-肌动蛋白mRNP（~100 s）与Arc mRNP（~30 s）反映了组成型表达的β-肌动蛋白mRNP的半衰期更长。此外，我们的模型还允许我们估计树突中新产生和预先存在的β-肌动蛋白mRNPs的比例。这项研究为mRNP转运提供了一个强大的理论框架，深入了解了mRNP如何在神经元中定位其靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Traffic 生物-细胞生物学

CiteScore

8.10

自引率

2.20%

发文量

审稿时长

2 months

期刊介绍： Traffic encourages and facilitates the publication of papers in any field relating to intracellular transport in health and disease. Traffic papers span disciplines such as developmental biology, neuroscience, innate and adaptive immunity, epithelial cell biology, intracellular pathogens and host-pathogen interactions, among others using any eukaryotic model system. Areas of particular interest include protein, nucleic acid and lipid traffic, molecular motors, intracellular pathogens, intracellular proteolysis, nuclear import and export, cytokinesis and the cell cycle, the interface between signaling and trafficking or localization, protein translocation, the cell biology of adaptive an innate immunity, organelle biogenesis, metabolism, cell polarity and organization, and organelle movement. All aspects of the structural, molecular biology, biochemistry, genetics, morphology, intracellular signaling and relationship to hereditary or infectious diseases will be covered. Manuscripts must provide a clear conceptual or mechanistic advance. The editors will reject papers that require major changes, including addition of significant experimental data or other significant revision. Traffic will consider manuscripts of any length, but encourages authors to limit their papers to 16 typeset pages or less.