Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy.
Neuroscience Institute -Cavalieri Ottolenghi, Orbassano (Torino), Turin, Italy.
Sci Rep. 2018 May 8;8(1):7254. doi: 10.1038/s41598-018-25354-3.
The small-GTPase Rac1 is a key molecular regulator linking extracellular signals to actin cytoskeleton dynamics. Loss-of-function mutations in RAC1 and other genes of the Rac signaling pathway have been implicated in the pathogenesis of Intellectual Disability (ID). The Rac1 activity is negatively controlled by GAP proteins, however the effect of Rac1 hyperactivity on neuronal networking in vivo has been poorly studied. ArhGAP15 is a Rac-specific negative regulator, expressed in the main subtypes of pyramidal cortical neurons. In the absence of ArhGAP15, cortical pyramidal neurons show defective neuritogenesis, delayed axonal elongation, reduced dendritic branching, both in vitro and in vivo. These phenotypes are associated with altered actin dynamics at the growth cone due to increased activity of the PAK-LIMK pathway and hyperphosphorylation of ADF/cofilin. These results can be explained by shootin1 hypo-phosphorylation and uncoupling with the adhesion system. Functionally, ArhGAP15 mice exhibit decreased synaptic density, altered electroencephalographic rhythms and cognitive deficits. These data suggest that both hypo- and hyperactivation of the Rac pathway due to mutations in Rac1 regulators can result in conditions of ID, and that a tight regulation of Rac1 activity is required to attain the full complexity of the cortical networks.
小分子 GTPase Rac1 是连接细胞外信号与肌动蛋白细胞骨架动态的关键分子调节剂。RAC1 和 Rac 信号通路的其他基因中的功能丧失突变已被牵连到智力障碍 (ID) 的发病机制中。Rac1 的活性受 GAP 蛋白的负调控,然而 Rac1 活性过度对体内神经元网络的影响尚未得到充分研究。ArhGAP15 是 Rac 特异性的负调节剂,在主要的皮质锥体细胞亚型中表达。在没有 ArhGAP15 的情况下,皮质锥体细胞表现出突起生成缺陷、轴突伸长延迟、树突分支减少,无论是在体外还是体内。这些表型与由于 PAK-LIMK 途径活性增加和 ADF/cofilin 的过度磷酸化而导致的生长锥处的肌动蛋白动力学改变有关。这些结果可以通过 shootin1 低磷酸化和与粘附系统的解偶联来解释。功能上,ArhGAP15 小鼠表现出突触密度降低、脑电图节律改变和认知缺陷。这些数据表明,由于 Rac1 调节因子的突变导致 Rac 通路的低激活和高激活都可能导致 ID,并且需要严格调节 Rac1 的活性以达到皮质网络的完全复杂性。