摘要
目的探讨细胞间黏附分子对胚胎癌P19细胞体外定向神经细胞分化的作用。方法通过单层培养技术,采用视黄酸为诱导剂诱导P19细胞神经细胞分化,在浓度分别为0.1%明胶、2.5mg/L和10mg/L的N-钙黏素融合蛋白(N-cad-Fc)包被的培养板上进行培养,观察细胞形态的变化情况,用神经细胞特异标志蛋白β-Ⅲ型微管蛋白(Tuj-1)抗体进行免疫荧光染色,反转录聚合酶链式反应(RT-PCR)检测干细胞标志蛋白(oct3/4)、神经前体细胞标志蛋白巢蛋白(nestin)、神经元素1(ngn1)、微管相关蛋白(map2)和神经胶质细胞的特异性标志蛋白(gfap)的表达情况。结果使用5×10^-7mol/L的视黄酸成功诱导了P19细胞神经细胞分化,0.1%明胶组、2.5mg/L N—cad—Fc组和10mg/L N-cad-Fc组分化为神经元细胞的百分率分别为7.8%、28.6%和26.8%,在包被有N-cad-Fc的培养板上培养,神经标志性蛋白ngn1和map2的表达明显提前、增强,干细胞标志蛋白oct3/4表达提前减弱,未见神经胶质细胞的特异性标志蛋白gfap表达。结论视黄酸可以诱导P19细胞向神经细胞分化,细胞间黏附分子对分化有促进作用。
Objective To observe the effect of intercellular adhesion molecule on neuronal differentiation of P19 cells in vitro. Methods Monolayer P19 cells were cultured on the plates coated with 0.1% gelatin, 2.5 mg/L and 10 mg/L N-cad-Fe (a fusion protein of the N-eadherin extracellular domain and the IgG Fc domain), and then 5 × 10^-7 mol/L retinoic acid (RA) was used to induce neuronal differentiation of P19 cells. Neuron specific class Ⅲ β tubulin (Tuj-1) antibody was examined by immunofluorescence staining. The protein expressions of oct3/4 in stem cells, nestin in precursor cells, ngnl and map2 in neurons and gfap in glial cells were detected by reverse transcription-polymerase chain reaction (RT PCR). Results RA at 5 × 10^-7 mol/L could induce P19 cells to differentiate into neurons. The average differentiation rates on 0.1% gelatin, 2.5 mg/L and 10 mg/L N-cad-Fc were 7.8%, 28.6% and 26.8%, respectively. Cells cultured on N cadFc coated plates dramatically up-regulated the expressions of neural specific proteins ngnl and map2. The expression of stem cell specific protein oct3/4 was decreased ahead of schedule and the expression of glial cell specific protein gfap could not be found by RT-PCR. Conclusions RA can induce P19 cells to differentiate into neuronal cells. Intercellular adhesion molecule has promotional effect on cell differentiation.
出处
《中华老年医学杂志》
CAS
CSCD
北大核心
2009年第5期414-417,共4页
Chinese Journal of Geriatrics
基金
国家自然科学基金(30400361)
关键词
细胞黏附分子
神经元
细胞分化
Cell adhesion molecules
Neurons
Cell differentiation