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In This Issue Pnas

机译：在本期Pnas

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The laboratory mouse has emerged as the workhorse animal inrnmodern biology. Researchers in many disciplines rely on this mam-rnmal for studying fundamental scientific questions and complex dis-rnease processes. Evan Gouldine et al. present a tool that produces arnholistic view of animal behavior, which can aid in understanding the consequences of experimental manipulations in mice. The authors developed a highly sensitive, automated procedure that quantitatively characterizes the behaviors exhibited by mice in their home cages. This approach examines two fundamental behavioral states: "active states," during which multiple behaviors cluster temporally, and "inactive states," in which animals restrnand sleep. The detection and characterization of active states enabled the authors to clarify the underlying organization of behavioral events. Circadian rhythms and two obesity-inducing mutations differentially regulated this behavioral organization. Because a diverse array of neural and physiological processes shape home cage patterns, the authors say their approach could enable the detection of genetic, environmental, and pharmacological manipulations relevant to a wide array of disease models.
机译：实验室小鼠已成为现代动物生物学中的主力动物。许多学科的研究人员都依靠这种哺乳动物来研究基本的科学问题和复杂的疾病治疗过程。 Evan Gouldine等。提出了一种可产生动物行为的动物学观点的工具，该工具可以帮助理解小鼠实验操作的后果。作者开发了一种高度灵敏的自动化程序，该程序可定量表征小鼠在其笼子中表现出的行为。这种方法检查了两个基本的行为状态：“活动状态”和“非活动状态”，在活动状态中多种行为会暂时聚集；在“非活动状态”中，动物休息并入睡。活动状态的检测和表征使作者能够阐明行为事件的基本组织。昼夜节律和两个肥胖引起的突变差异地调节这种行为组织。由于各种各样的神经和生理过程会影响家庭笼的形态，因此作者说，他们的方法可以检测与多种疾病模型相关的遗传，环境和药理学操作。

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