Lee Yih Yean, Wong Kathy T K, Nissom Peter Morin, Wong Danny C F, Yap Miranda G S
Bioprocessing Technology Institute, Agency for Science Technology and Research (A*STAR), 20 Biopolis Way, #06-01 Centros, Singapore 138668, Singapore.
Metab Eng. 2007 Jan;9(1):52-67. doi: 10.1016/j.ymben.2006.08.006. Epub 2006 Sep 19.
Dynamic nutrient feeding to control glutamine at low levels in protein-free fed-batch cultures of 293-human embryonic kidney (HEK) cells achieved cell concentrations of 6 x 10(6) cells/ml. This represented a 4-fold improvement in cell concentration compared to batch cultures. Reduction in glutamine and glucose consumption, as well as lactate and ammonia production, were also observed in these fed-batch cultures. High virus production titers of 3 x 10(11) pfu/ml were achieved in fed-batch cultures which were 10,000-fold higher than batch cultures. An investigation of the transcriptional regulation of the metabolic changes associated with the batch and the low-glutamine fed-batch cultures using DNA microarray was conducted. This analysis provides better understanding of the transcriptional regulatory mechanism resulting in the observed physiological changes. Transcriptional profiling of cells from the mid-exponential, late exponential and stationary phases of both the batch and fed-batch were undertaken using an 18,000 element human chip. Transcriptional profiles were ontologically classified to provide a global view of the genetic changes. Furthermore, a pathway-oriented analysis focusing on cellular metabolism was conducted to reveal the dynamic regulation of genes related to amino acid metabolism, tRNA synthetases, TCA cycle, electron transport chain and glycolysis.
在293-人胚肾(HEK)细胞的无蛋白补料分批培养中,通过动态营养物补加以将谷氨酰胺水平控制在较低水平,细胞浓度达到了6×10⁶个细胞/毫升。与分批培养相比,这代表细胞浓度提高了4倍。在这些补料分批培养中还观察到谷氨酰胺和葡萄糖消耗减少,以及乳酸和氨生成减少。补料分批培养中实现了3×10¹¹ pfu/毫升的高病毒生产滴度,这比分批培养高10000倍。使用DNA微阵列对与分批培养和低谷氨酰胺补料分批培养相关的代谢变化的转录调控进行了研究。该分析有助于更好地理解导致观察到的生理变化的转录调控机制。使用18000个元件的人类芯片对分批培养和补料分批培养的指数中期、指数后期和稳定期的细胞进行转录谱分析。转录谱进行了本体分类以提供遗传变化的全局视图。此外,进行了以细胞代谢为重点的途径导向分析,以揭示与氨基酸代谢、tRNA合成酶、三羧酸循环、电子传递链和糖酵解相关基因的动态调控。