Cheung W M, Fu W Y, Hui W S, Ip N Y
Department of Biology and Biotechnology, Hong Kong University of Science and Technology, Clear Water Bay, China.
Biotechniques. 1999 May;26(5):946-8, 950-2, 954. doi: 10.2144/99265rr04.
When treated with retinoic acid (RA), a human embryonal carcinoma (EC) cell line, NTera2 cl.D/1 (NT2), differentiates into several morphologically distinct cell types, which include terminally differentiated postmitotic central nervous system (CNS) neurons. Accumulating evidence has demonstrated the significant potential of NT2 cells in studies related to cancer therapy and neurodegenerative diseases. However, preparation of enriched NT2 neurons often requires a lengthy period (ca. five weeks) and depends largely on tedious techniques similar to those used for primary neuronal cultures. Here, we report a rapid protocol for the preparation of these human CNS neurons. Using the method of cell aggregation, enriched NT2 neurons can be obtained in approximately two weeks. We also demonstrated that cell aggregation reduced the time normally required for the induction of neuronal differentiation, as revealed by the early expression of neuronal markers. The period of RA treatment could also be reduced if NT2 cells were maintained as aggregates for a sufficient period of time. Taken together, our findings demonstrated that cell aggregation promoted RA-induced neuronal differentiation of NT2 cells and provided a rapid protocol for the efficient production of NT2 neurons. The ability to produce large quantities of human CNS neurons should facilitate future use of these neurons for basic research and applications in cell therapy.
用视黄酸(RA)处理时,人胚胎癌细胞系NTera2 cl.D/1(NT2)可分化为几种形态上不同的细胞类型,其中包括终末分化的有丝分裂后中枢神经系统(CNS)神经元。越来越多的证据表明NT2细胞在癌症治疗和神经退行性疾病相关研究中具有巨大潜力。然而,制备富集的NT2神经元通常需要较长时间(约五周),并且在很大程度上依赖于与原代神经元培养所用技术类似的繁琐技术。在此,我们报告一种快速制备这些人CNS神经元的方法。使用细胞聚集方法,可在大约两周内获得富集的NT2神经元。我们还证明,细胞聚集缩短了诱导神经元分化通常所需的时间,这可通过神经元标志物的早期表达得以体现。如果将NT2细胞保持聚集状态足够长的时间,RA处理的时间也可以缩短。综上所述,我们的研究结果表明细胞聚集促进了RA诱导的NT2细胞神经元分化,并提供了一种快速高效制备NT2神经元的方法。大量生产人CNS神经元的能力应有助于这些神经元在未来基础研究和细胞治疗应用中的使用。