树突树中线粒体的聚类和空间分布

Mario Hidalgo-Soria, Elena F. Koslover
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引用次数: 0

摘要

神经元树突形成密集分支的树状结构,其中必须分布线粒体,以满足细胞的能量需求。树突线粒体在树状结构中循环,经历融合和分裂,形成大小不一的线粒体团。我们提出了一个数学模型,用于描述这种活跃的颗粒在枝状几何中的分布。我们的模型证明,"平衡 "树(在这种树中,横截面积在交界处得到保留,较粗的树枝支持更茂密的子树)能够实现对称但远端富集的颗粒分布,并促进分散到较小的簇中。这些结果突显了树的结构和依赖半径的融合在控制神经元线粒体分布方面的重要性。
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Clustering and spatial distribution of mitochondria in dendritic trees
Neuronal dendrites form densely branched tree architectures through which mitochondria must be distributed to supply the cell's energetic needs. Dendritic mitochondria circulate through the tree, undergoing fusion and fission to form clusters of varying sizes. We present a mathematical model for the distribution of such actively-driven particles in a branched geometry. Our model demonstrates that `balanced' trees (wherein cross-sectional area is conserved across junctions and thicker branches support more bushy subtrees) enable symmetric yet distally enriched particle distributions and promote dispersion into smaller clusters. These results highlight the importance of tree architecture and radius-dependent fusion in governing the distribution of neuronal mitochondria.
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