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与运动活动变化相关的基因在大脑中的分布。

Brain distribution of genes related to changes in locomotor activity.

机构信息

Department of Health Sciences, University of Molise, Campobasso, 86100, Italy.

出版信息

Physiol Behav. 2010 Apr 19;99(5):618-26. doi: 10.1016/j.physbeh.2010.01.026. Epub 2010 Feb 4.

Abstract

The relationship between genes and behavior, and particularly the hyperactive behavior, is clearly not linear nor monotonic. To address this problem, a database of the locomotor behavior obtained from thousands of mutant mice has been previously retrieved from the literature. Data showed that the percent of genes in the genome related to locomotor hyperactivity is probably more than 1.56%. These genes do not belong to a single neurotransmitter system or biochemical pathway. Indeed, they are probably required for the correct development of a specific neuronal network necessary to decrease locomotor activity. The present paper analyzes the brain expression pattern of the genes whose deletion is accompanied by changes in locomotor behavior. Using literature data concerning knockout mice, 46 genes whose deletion was accompanied by increased locomotor behavior, 24 genes related to decreased locomotor behavior and 23 genes not involved in locomotor behavior (but important for other brain functions) have been identified. These three groups of genes belonged to overlapping neurotransmitter systems or cellular functions. Therefore, we postulated that a better predictor of the locomotor behavior resulting from gene deletion might be the brain expression pattern. To this aim we correlated the brain expression of the genes and the locomotor activity resulting from the deletion of the same genes, using two databases (Allen Brain Atlas and SymAtlas). The results showed that the deletion of genes with higher expression level in the brain had higher probability to be accompanied by increased behavioral activity. Moreover the genes that were accompanied by locomotor hyperactivity when deleted, were more expressed in the cerebral cortex, amygdala and hippocampus compared to the genes unrelated to locomotor activity. Therefore, the prediction of the behavioral effect of a gene should take into consideration its brain distribution. Moreover, data confirmed that genes highly expressed in the brain are more likely to induce hyperactivity when deleted. Finally, it is suggested that gene mutations linked to specific behavioral abnormalities (e.g. inattention) might probably be associated to hyperactivity if the same gene has elevated brain expression.

摘要

基因与行为之间的关系,尤其是多动行为,显然不是线性或单调的。为了解决这个问题,之前从文献中检索到了一个由数千只突变小鼠的运动行为数据组成的数据库。数据表明,与运动过度活跃相关的基因组基因比例可能超过 1.56%。这些基因不属于单一的神经递质系统或生化途径。事实上,它们可能是正确发育特定神经元网络所必需的,而该网络对于降低运动活性是必要的。本文分析了删除后行为发生变化的基因的大脑表达模式。利用关于基因敲除小鼠的文献数据,确定了 46 个删除后运动行为增加的基因、24 个与运动行为减少相关的基因和 23 个不参与运动行为(但对其他大脑功能很重要)的基因。这三组基因属于重叠的神经递质系统或细胞功能。因此,我们假设基因缺失引起的运动行为更好的预测因子可能是大脑的表达模式。为此,我们使用两个数据库(Allen Brain Atlas 和 SymAtlas),将基因的大脑表达与相同基因缺失引起的运动活性相关联,对这三组基因进行了分析。结果表明,大脑表达水平较高的基因缺失更有可能伴随着行为活性的增加。此外,与运动活性无关的基因相比,删除后引起运动过度活跃的基因在大脑皮层、杏仁核和海马体中的表达更高。因此,预测基因的行为效应应考虑其大脑分布。此外,数据证实,大脑中高表达的基因在删除时更有可能引起过度活跃。最后,建议与特定行为异常(例如注意力不集中)相关的基因突变,如果同一基因在大脑中表达较高,可能与过度活跃有关。

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