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COMPASS:活动与睡眠状态的连续开放式小鼠表型分析

COMPASS: Continuous Open Mouse Phenotyping of Activity and Sleep Status.

作者信息

Brown Laurence A, Hasan Sibah, Foster Russell G, Peirson Stuart N

机构信息

Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

出版信息

Wellcome Open Res. 2016 Nov 15;1:2. doi: 10.12688/wellcomeopenres.9892.2. eCollection 2016.

Abstract

Disruption of rhythms in activity and rest occur in many diseases, and provide an important indicator of healthy physiology and behaviour. However, outside the field of sleep and circadian rhythm research, these rhythmic processes are rarely measured due to the requirement for specialised resources and expertise. Until recently, the primary approach to measuring activity in laboratory rodents has been based on voluntary running wheel activity. By contrast, measuring sleep requires the use of electroencephalography (EEG), which involves invasive surgical procedures and time-consuming data analysis. Here we describe a simple, non-invasive system to measure home cage activity in mice based upon passive infrared (PIR) motion sensors. Careful calibration of this system will allow users to simultaneously assess sleep status in mice. The use of open-source tools and simple sensors keeps the cost and the size of data-files down, in order to increase ease of use and uptake. In addition to providing accurate data on circadian activity parameters, here we show that extended immobility of >40 seconds provides a reliable indicator of sleep, correlating well with EEG-defined sleep (Pearson's r >0.95, 4 mice).  Whilst any detailed analysis of sleep patterns in mice will require EEG, behaviourally-defined sleep provides a valuable non-invasive means of simultaneously phenotyping both circadian rhythms and sleep. Whilst previous approaches have relied upon analysis of video data, here we show that simple motion sensors provide a cheap and effective alternative, enabling real-time analysis and longitudinal studies extending over weeks or even months. The data files produced are small, enabling easy deposition and sharing. We have named this system COMPASS - Continuous Open Mouse Phenotyping of Activity and Sleep Status. This simple approach is of particular value in phenotyping screens as well as providing an ideal tool to assess activity and rest cycles for non-specialists.

摘要

许多疾病都会导致活动与休息节律的紊乱,而这是健康生理和行为的一项重要指标。然而,在睡眠和昼夜节律研究领域之外,由于需要专门的资源和专业知识,这些节律过程很少被测量。直到最近,测量实验室啮齿动物活动的主要方法一直基于自愿的转轮活动。相比之下,测量睡眠需要使用脑电图(EEG),这涉及侵入性手术程序和耗时的数据分析。在此,我们描述了一种基于被动红外(PIR)运动传感器来测量小鼠笼内活动的简单、非侵入性系统。对该系统进行仔细校准将使使用者能够同时评估小鼠的睡眠状态。使用开源工具和简单传感器可降低成本和数据文件大小,以提高易用性和接受度。除了提供有关昼夜活动参数的准确数据外,我们在此表明,超过40秒的长时间不动是睡眠的可靠指标,与脑电图定义的睡眠相关性良好(皮尔逊相关系数r>0.95,4只小鼠)。虽然对小鼠睡眠模式的任何详细分析都需要脑电图,但行为定义的睡眠提供了一种有价值的非侵入性方法,可同时对昼夜节律和睡眠进行表型分析。虽然以前的方法依赖于视频数据分析,但我们在此表明,简单的运动传感器提供了一种廉价且有效的替代方法,能够进行实时分析以及长达数周甚至数月的纵向研究。所产生的数据文件很小,便于存储和共享。我们将这个系统命名为COMPASS——活动与睡眠状态的连续开放式小鼠表型分析。这种简单方法在表型筛选中具有特别价值,同时也是为非专业人员评估活动和休息周期的理想工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/073d/5446037/1309b943b9ac/wellcomeopenres-1-11937-g0000.jpg

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