Centre for Biological Engineering, Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University , Loughborough, Leicestershire, UK.
Stem Cell Glycobiology Group, Division of Cancer & Stem Cells, School of Medicine, University of Nottingham, Queen's Medical Centre , Nottingham, UK.
Bioengineered. 2021 Dec;12(1):341-357. doi: 10.1080/21655979.2020.1870074.
Work undertaken using the embryonic carcinoma 2102Ep line, highlighted the requirement for robust, well-characterized and standardized protocols. A systematic approach utilizing 'quick hit' experiments demonstrated variability introduced into culture systems resulting from slight changes to culture conditions (route A). This formed the basis for longitudinal experiments investigating long-term effects of culture parameters including seeding density and feeding regime (route B).Results demonstrated that specific growth rates (SGR) of passage 59 (P59) cells seeded at 20,000 cells/cm and subjected to medium exchange after 48h prior to reseeding at 72h (route B2) on average was marginally higher than, P55 cells cultured under equivalent conditions (route A1); whereby SGR values were (0.021±0.004) and (0.019±0.004). Viability was higher in route B2 over 10 passages with average viability reported as (86.3%±8.1) compared to route A1 (83.3±8.8). The metabolite data demonstrated both culture route B1 (P57 cells seeded at 66,667 cells/cm) and B2 had consistent-specific metabolite rates (SMR) for glucose, but SMR values of route B1 was consistently lower than route B2 (0.00001 mmol, cell-1.d-1 and 0.000025).Results revealed interactions between phenotype, SMR and feeding regime that may not be accurately reflected by growth rate or observed morphology. This implies that current schemes of protocol control do not adequately account for variability, since key cell characteristics, including phenotype and SMR, change regardless of standardized seeding densities. This highlights the need to control culture parameters through defined protocols, for processes that involve culture for therapeutic use, biologics production, and reference lines.
利用胚胎癌细胞 2102Ep 系进行的工作强调了对强大、特征良好和标准化方案的需求。利用“快速打击”实验的系统方法表明,培养系统中引入的变异性源自培养条件的微小变化(路线 A)。这为研究包括接种密度和饲养方案在内的长期培养参数影响的纵向实验奠定了基础(路线 B)。结果表明,在 20,000 个细胞/cm2 接种、48 小时后更换培养基并在 72 小时重新接种(路线 B2)的第 59 代(P59)细胞的特定生长率(SGR)略高于在等效条件下培养的第 55 代(P55)细胞(路线 A1);SGR 值分别为(0.021±0.004)和(0.019±0.004)。在 10 个传代中,路线 B2 的活力更高,平均活力报告为(86.3%±8.1),而路线 A1 为(83.3±8.8)。代谢物数据表明,两种培养路线 B1(在 66,667 个细胞/cm2 接种 P57 细胞)和 B2 均具有葡萄糖的一致特定代谢率(SMR),但路线 B1 的 SMR 值始终低于路线 B2(0.00001mmol,细胞-1.d-1 和 0.000025)。结果揭示了表型、SMR 和饲养方案之间的相互作用,这些作用可能无法通过生长率或观察到的形态准确反映。这意味着,目前的方案控制方案没有充分考虑到变异性,因为关键的细胞特征,包括表型和 SMR,会发生变化,而不管标准化的接种密度如何。这凸显了需要通过定义的方案来控制培养参数,以用于涉及治疗用途、生物制品生产和参考系的培养过程。