Qi Y, Wang J K, McMillian M, Chikaraishi D M
Department of Neuroscience, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.
J Neurosci. 1997 Feb 15;17(4):1217-25. doi: 10.1523/JNEUROSCI.17-04-01217.1997.
A CNS catecholaminergic cell line, Cath.a, was established by targeted oncogenesis in transgenic mice. Cath.a cells express neuronal properties but lack neuronal morphology. Here, we describe a variant of Cath.a, called CAD (Cath.a-differentiated), in which reversible morphological differentiation can be initiated by removal of serum or exogenously added protein from the medium. In serum- or protein-free media, CAD cells stop proliferating and extend long processes. Differentiated CAD cells can be maintained without serum or protein for at least 6 weeks. CAD cells are distinct from Cath.a cells; most significant, the original immortalizing oncogene, SV40 T antigen, was spontaneously lost. By immunostaining or immunoblotting, we show that CAD cells express neuron-specific proteins, such as class III beta-tubulin, GAP-43, SNAP-25, and synaptotagmin, but not GFAP. Ultrastructurally, processes from differentiated CAD cells have abundant parallel microtubules and intermediate filaments, and bear varicosities that contain both large dense-core vesicles/granules (120-160 nm) and smaller clear vesicles (60-80 nm). Additionally, CAD cells express enzymatically active tyrosine hydroxylase and accumulate L-DOPA. CAD cells exhibit biochemical and morphological characteristics of primary neurons and provide an unique tool for studying neuronal differentiation.
一种中枢神经系统儿茶酚胺能细胞系Cath.a,是通过转基因小鼠中的靶向肿瘤发生建立的。Cath.a细胞表达神经元特性,但缺乏神经元形态。在此,我们描述了Cath.a的一个变体,称为CAD(Cath.a分化型),其中通过从培养基中去除血清或外源添加的蛋白质可启动可逆的形态分化。在无血清或无蛋白质的培养基中,CAD细胞停止增殖并伸出长突起。分化的CAD细胞可以在无血清或无蛋白质的情况下维持至少6周。CAD细胞与Cath.a细胞不同;最显著的是,原始的永生化致癌基因SV40 T抗原自发丢失。通过免疫染色或免疫印迹,我们表明CAD细胞表达神经元特异性蛋白,如III类β-微管蛋白、GAP-43、SNAP-25和突触结合蛋白,但不表达GFAP。在超微结构上,分化的CAD细胞的突起有丰富的平行微管和中间丝,并带有含有大的致密核心囊泡/颗粒(120-160 nm)和较小的清亮囊泡(60-80 nm)的膨体。此外,CAD细胞表达具有酶活性的酪氨酸羟化酶并积累左旋多巴。CAD细胞表现出原代神经元的生化和形态特征,为研究神经元分化提供了一个独特的工具。