Monfared Roudabeh Vakil, Abdelkarim Sherif, Derdeyn Pieter, Chen Kiki, Wu Hanting, Leong Kenneth, Chang Tiffany, Lee Justine, Versales Sara, Nauli Surya M, Beier Kevin, Baldi Pierre, Alachkar Amal
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California-Irvine, Irvine, California, United States of America.
Department of Computer Science, School of Information and Computer Sciences, University of California-Irvine, Irvine, California, United States of America.
PLoS Biol. 2025 Jul 11;23(7):e3003197. doi: 10.1371/journal.pbio.3003197. eCollection 2025 Jul.
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-h period, with region-specific peaks during light-dark phases. Our analysis revealed unique orientation patterns of cilia, suggesting that cilia orientation within the brain is not random but follows specific patterns. Using BioCycle, we identified rhythmic fluctuations in cilia length across five brain regions: the nucleus accumbens core, somatosensory cortex, and the dorsomedial, ventromedial, and arcuate hypothalamic nuclei. Our findings present novel insights into the brain cilia dynamics, and highlight the need for further investigation into cilia's role in the brain's response to environmental changes and regulation of oscillatory physiological processes.
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。我们的分析揭示了纤毛独特的方向模式,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节律性波动:伏隔核核心、体感皮层以及背内侧、腹内侧和弓状下丘脑核。我们的研究结果为脑纤毛动力学提供了新的见解,并强调需要进一步研究纤毛在大脑对环境变化的反应以及振荡生理过程调节中的作用。