Genetic Tools in Rodents to Study Cannabinoid Functions.

Krisztina Monory, Inigo Ruiz de Azua, Beat Lutz
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Abstract

During the past 30 years, the endocannabinoid system (ECS) has emerged as a major signalling system in the mammalian brain regulating neurotransmission in numerous brain regions and in various cell populations. Endocannabinoids are able to regulate specific physiological functions and thus modify their behavioural manifestations and allostatic alterations of the ECS linked to different pathological conditions. As discussed in detail in other chapters of this book, endocannabinoids are involved in learning and memory, stress, and anxiety, feeding, energy balance, development, and ageing. Likewise, many CNS disorders (e.g. schizophrenia, epilepsy, substance use disorders, and multiple sclerosis) are associated with dysregulation of the ECS. Discerning the physiological functions of the synthetic and degrading enzymes of endocannabinoids and their receptors is a challenging task because of their distinct and complex expression patterns. Techniques of genetic engineering have been able to shed light on a number of complex ECS-related tasks during the past years. In this chapter, first, we take a critical look at the toolbox available to researchers who would like to investigate cannabinoid effects using genetic engineering techniques, then we comprehensively discuss genetically modified rodent models in various neuronal and non-neuronal cell populations, both within and outside the nervous system.

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遗传工具在啮齿动物研究大麻素功能。
在过去的30年里,内源性大麻素系统(ECS)已成为哺乳动物大脑中调节许多脑区和各种细胞群神经传递的主要信号系统。内源性大麻素能够调节特定的生理功能,从而改变其行为表现和与不同病理条件相关的ECS的适应改变。正如本书其他章节详细讨论的那样,内源性大麻素与学习和记忆、压力和焦虑、进食、能量平衡、发育和衰老有关。同样,许多中枢神经系统疾病(如精神分裂症、癫痫、物质使用障碍和多发性硬化症)与ECS失调有关。内源性大麻素及其受体的合成和降解酶的生理功能是一项具有挑战性的任务,因为它们的表达模式独特而复杂。在过去的几年里,基因工程技术已经能够阐明一些复杂的ecs相关任务。在本章中,首先,我们对那些想要使用基因工程技术研究大麻素效应的研究人员可用的工具箱进行了批判性的研究,然后我们全面讨论了神经系统内外各种神经元和非神经元细胞群体中的转基因啮齿动物模型。
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来源期刊
Current topics in behavioral neurosciences
Current topics in behavioral neurosciences Neuroscience-Behavioral Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
103
期刊最新文献
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