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一种利用射频识别(RFID)技术来监测复杂社会环境中个体啮齿动物行为的系统。

A system utilizing radio frequency identification (RFID) technology to monitor individual rodent behavior in complex social settings.

机构信息

Animal Science Department, University of California, Davis, USA.

出版信息

J Neurosci Methods. 2012 Jul 30;209(1):74-8. doi: 10.1016/j.jneumeth.2012.06.001. Epub 2012 Jun 12.

Abstract

Pre-clinical investigation of human CNS disorders relies heavily on mouse models. However these show low predictive validity for translational success to humans, partly due to the extensive use of rapid, high-throughput behavioral assays. Improved assays to monitor rodent behavior over longer time scales in a variety of contexts while still maintaining the efficiency of data collection associated with high-throughput assays are needed. We developed an apparatus that uses radio frequency identification device (RFID) technology to facilitate long-term automated monitoring of the behavior of mice in socially or structurally complex cage environments. Mice that were individually marked and implanted with transponders were placed in pairs in the apparatus, and their locations continuously tracked for 24 h. Video observation was used to validate the RFID readings. The apparatus and its associated software accurately tracked the locations of all mice, yielding information about each mouse's location over time, its diel activity patterns, and the amount of time it was in the same location as the other mouse in the pair. The information that can be efficiently collected in this apparatus has a variety of applications for pre-clinical research on human CNS disorders, for example major depressive disorder and autism spectrum disorder, in that it can be used to quantify validated endophenotypes or biomarkers of these disorders using rodent models. While the specific configuration of the apparatus described here was designed to answer particular experimental questions, it can be modified in various ways to accommodate different experimental designs.

摘要

临床前研究人类中枢神经系统疾病严重依赖于小鼠模型。然而,这些模型对于向人类转化的预测性准确性较低,部分原因是广泛使用快速、高通量的行为检测。需要改进的检测方法,以便在各种环境下长时间监测啮齿动物的行为,同时保持与高通量检测相关的数据收集效率。我们开发了一种使用射频识别装置 (RFID) 技术的设备,以促进在社会或结构复杂的笼养环境中对小鼠进行长期自动行为监测。单独标记并植入应答器的小鼠被成对放入设备中,并对其位置进行 24 小时连续跟踪。使用视频观察来验证 RFID 读数。该设备及其相关软件准确地跟踪了所有小鼠的位置,提供了有关每只小鼠随时间的位置、昼夜活动模式以及与配对中另一只小鼠在同一位置的时间的信息。该设备可以高效收集的信息对于人类中枢神经系统疾病(例如重度抑郁症和自闭症谱系障碍)的临床前研究具有多种应用,因为它可以用于使用啮齿动物模型来量化这些疾病的验证内表型或生物标志物。虽然这里描述的设备的具体配置是为了回答特定的实验问题,但可以通过各种方式进行修改,以适应不同的实验设计。

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