Koren Simon, Kosmac Miha, Colja Venturini Anja, Montanic Sendi, Curin Serbec Vladka
Department for Production of Diagnostic Reagents and Research, Blood Transfusion Centre of Slovenia, Ljubljana, Slovenia.
Appl Microbiol Biotechnol. 2008 Apr;78(6):1071-8. doi: 10.1007/s00253-008-1386-5. Epub 2008 Mar 5.
Cross-contamination and misidentification of various cell lines is a widespread problem that can lead to spurious scientific conclusions. DNA fingerprinting is a powerful identification technique, which can be effectively used for the authentication of human cell lines. In contrast to human cancer cell lines, little attention has so far been given to establishing authentication practices for hybridoma cell lines. Since the majority of hybridomas stem from inbred animals, they have high genetic uniformity, which reduces the applicability of DNA fingerprinting. In the present study, we propose antibody variable-region sequencing as a method of choice for hybridoma cell-line authentication. This method focuses on the most diverse characteristic of hybridoma cell lines and thereby achieves a very high discriminatory power. The sequencing of light-chain variable regions has proven to be especially suitable for routine use because of its high success rate. Two other possible authentication methods, random amplified polymorphic DNA analysis and two-dimensional gel electrophoresis, were also examined. Compared to these and other methods that can be used for discrimination between hybridoma cell lines, variable-region sequencing has many advantages, most notably those of a very high discriminatory power, insensitivity to changes in experimental conditions, simple data analysis, and accessibility to most laboratories.
各种细胞系的交叉污染和错误鉴定是一个普遍存在的问题,可能导致虚假的科学结论。DNA指纹识别是一种强大的鉴定技术,可有效地用于人类细胞系的鉴定。与人类癌细胞系相比,迄今为止,很少有人关注建立杂交瘤细胞系的鉴定方法。由于大多数杂交瘤来源于近交动物,它们具有高度的遗传一致性,这降低了DNA指纹识别的适用性。在本研究中,我们提出抗体可变区测序作为杂交瘤细胞系鉴定的首选方法。该方法关注杂交瘤细胞系最多样化的特征,从而具有很高的鉴别能力。轻链可变区测序因其高成功率已被证明特别适合常规使用。还研究了另外两种可能的鉴定方法,即随机扩增多态性DNA分析和二维凝胶电泳。与这些以及可用于区分杂交瘤细胞系的其他方法相比,可变区测序有许多优点,最显著的是具有非常高的鉴别能力、对实验条件变化不敏感、数据分析简单以及大多数实验室都可采用。