Reorganization of suprachiasmatic nucleus networks under 24-h LDLD conditions.

Reorganization of suprachiasmatic nucleus networks under 24-h LDLD conditions.
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DOI:
10.1177/0748730409352054
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发表时间:
2010-02
影响因子:
3.5
通讯作者:
Gorman M
Gorman M
中科院分区:
生物学3区
文献类型:
--
作者:
Yan L;Silver R;Gorman M

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视交叉上核(SCN)是大脑中主生物钟的所在地,由多振荡器神经网络组成,这些神经网络在响应环境照明条件时具有高度的可塑性。在24小时的光:暗:光:暗(LDLD)循环下,仓鼠将其昼夜运动活动分为两部分,使得在2个每日黑暗时段中的每一个中发生车轮运行,其间完全不活动。在本研究中,我们探讨了这种行为分歧的神经基础。使用含钙结合蛋白(CalB)的SCN细胞作为区域标记,我们的特点是PER 1和c-FOS表达的核心和壳SCN亚区。在LD饲养的动物中,已知核心和外壳区域中的PER 1和c-FOS彼此同相。相比之下,在行为分叉的动物住在LDLD,核心和外壳SCN表现出反相节律的PER 1。此外,核心区的细胞在LDLD周期的每个间期都显示出高FOS表达。核心中FOS的激活是由光驱动的,当暗相被黑暗取代时,FOS的激活迅速消失。结果表明,在白天和夜间的分叉活动回合与振荡组的细胞在核心和外壳子区域,分别支持的概念,SCN网络的重组的基础上的变化,在不同的环境照明条件下的行为反应。
The suprachiasmatic nucleus (SCN), locus of the master circadian clock in the brain, is comprised of multioscillator neural networks that are highly plastic in responding to environmental lighting conditions. Under a 24-h light:dark:light:dark (LDLD) cycle, hamsters bifurcate their circadian locomotor activity such that wheel running occurs in each of the 2 daily dark periods with complete inactivity in between. In the present study, we explored the neural underpinning of this behavioral bifurcation. Using calbindin (CalB)–containing cells of the SCN as a regional marker, we characterized PER1 and c-FOS expression in the core and shell SCN subregions. In LD-housed animals, it is known that PER1 and c-FOS in the core and shell region are in phase with each other. In contrast, in behaviorally bifurcated animals housed in LDLD, the core and shell SCN exhibit antiphase rhythms of PER1. Furthermore, cells in the core show high FOS expression in each photophase of the LDLD cycle. The activation of FOS in the core is light driven and disappears rapidly when the photophase is replaced by darkness. The results suggest that bifurcated activity bouts in daytime and nighttime are associated with oscillating groups of cells in the core and shell subregions, respectively, and support the notion that reorganization of SCN networks underlies changes in behavioral responses under different environmental lighting conditions.
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