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脑纤毛的时空图谱揭示了长度和方向的区域特异性振荡。

Spatiotemporal Mapping of Brain Cilia Reveals Region-Specific Oscillation of Length and Orientation.

作者信息

Monfared Roudabeh Vakil, Abdelkarim Sherif, Derdeyn Pieter, Chen Kiki, Wu Hanting, Leong Kenneth, Chang Tiffany, Lee Justine, Versales Sara, Nauli Surya, Beier Kevin, Baldi Pierre, Alachkar Amal

出版信息

bioRxiv. 2023 Jul 15:2023.06.28.546950. doi: 10.1101/2023.06.28.546950.

Abstract

In this study, we conducted high-throughput spatiotemporal analysis of primary cilia length and orientation across 22 mouse brain regions. We developed automated image analysis algorithms, which enabled us to examine over 10 million individual cilia, generating the largest spatiotemporal atlas of cilia. We found that cilia length and orientation display substantial variations across different brain regions and exhibit fluctuations over a 24-hour period, with region-specific peaks during light-dark phases. Our analysis revealed unique orientation patterns of cilia at 45 degree intervals, suggesting that cilia orientation within the brain is not random but follows specific patterns. Using BioCycle, we identified circadian rhythms of cilia length in five brain regions: nucleus accumbens core, somatosensory cortex, and three hypothalamic nuclei. Our findings present novel insights into the complex relationship between cilia dynamics, circadian rhythms, and brain function, highlighting cilia crucial role in the brain's response to environmental changes and regulation of time-dependent physiological processes.

摘要

在本研究中,我们对22个小鼠脑区的初级纤毛长度和方向进行了高通量时空分析。我们开发了自动化图像分析算法,这使我们能够检测超过1000万个单个纤毛,生成了最大的纤毛时空图谱。我们发现,纤毛长度和方向在不同脑区显示出显著差异,并在24小时内呈现波动,在明暗周期有特定区域的峰值。我们的分析揭示了以45度间隔的独特纤毛方向模式,表明脑内纤毛方向并非随机,而是遵循特定模式。使用BioCycle,我们在五个脑区确定了纤毛长度的昼夜节律:伏隔核核心、体感皮层和三个下丘脑核。我们的研究结果为纤毛动力学、昼夜节律和脑功能之间的复杂关系提供了新见解,突出了纤毛在大脑对环境变化的反应以及对时间依赖性生理过程的调节中的关键作用。

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