Zhao Ai, Chen Fahai, Ning Chunhong, Wu Haiming, Song Huanfang, Wu Yanqing, Chen Rong, Zhou Kaihua, Xu Xiaoling, Lu Yinxiang, Gao Jimin
Zhejiang Provincial Key Laboratory for Technology & Application of Model Organisms, School of Laboratory Medicine& Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hospital 212 of the Nuclear Industry, Wuwei, Gansu, China.
PLoS One. 2017 Sep 25;12(9):e0185470. doi: 10.1371/journal.pone.0185470. eCollection 2017.
In this study, we developed a rapid strategy to screen a serum-free medium for culturing the anchorage-dependent PC-3 prostate cancer cells, which was going to be prepared in large scale to generate GM-CSF/TNFα-surface-modified whole cell prostate cancer vaccine. Automated real-time cellular analysis as a rapid and non-invasive technology was used to monitor the growth of PC-3 cells in 16-well plates. At the same time, Plackett-Burman design was employed to identify the most influential formulation by integrating relevant information statistically. The effects of the 16 selected factors were evaluated during exponential cell growth and three medium constituents (EGF, FGF and linoleic acid) were identified to have significant effects on the cell growth. Subsequently, the response surface methodology with central composite design was applied to determine the interactions among the three factors so that these factors were optimized to improve cell growth. Finally, the prediction of the best combination was made under the maximal response to optimize cell growth by Design-Expert software 7.0. A total of 20 experiments were conducted to construct a quadratic model and a second-order polynomial equation. With the optimized combination validated by the stability test of serial passaging PC-3 cells, the serum-free medium had similar cell density and cell viability to the original serum medium. In summary, this high-throughput scheme minimized the screening time and may thus provide a new platform to efficiently develop the serum-free media for adherent cells.
在本研究中,我们开发了一种快速策略,用于筛选用于培养贴壁依赖性PC-3前列腺癌细胞的无血清培养基,该培养基将大规模制备以生产GM-CSF/TNFα表面修饰的全细胞前列腺癌疫苗。自动实时细胞分析作为一种快速且非侵入性的技术,用于监测16孔板中PC-3细胞的生长。同时,采用Plackett-Burman设计通过统计整合相关信息来确定最具影响力的配方。在细胞指数生长期间评估了16个选定因素的影响,并确定三种培养基成分(表皮生长因子、成纤维细胞生长因子和亚油酸)对细胞生长有显著影响。随后,应用具有中心复合设计的响应面方法来确定这三个因素之间的相互作用,从而对这些因素进行优化以促进细胞生长。最后,通过Design-Expert软件7.0在最大响应下对最佳组合进行预测以优化细胞生长。总共进行了20次实验以构建二次模型和二阶多项式方程。通过PC-3细胞连续传代的稳定性测试验证了优化组合后,无血清培养基的细胞密度和细胞活力与原始血清培养基相似。总之,这种高通量方案最大限度地缩短了筛选时间,因此可能为高效开发用于贴壁细胞的无血清培养基提供一个新平台。