Detection of residual E. coli host cell DNA by 23S ribosomal RNA gene-targeted quantitative polymerase chain reactions

分子生物学 化学 底漆(化妆品) 质粒 基因 实时聚合酶链反应 核糖核酸 DNA 23S核糖体RNA 大肠杆菌 生物 聚合酶链反应 生物化学 核糖体 有机化学
作者
Dehua Li,Qian Zhang,Guodi Liu,Linsong Zhang,Zhangjie Gu,Yingjiao Pan,Xingbing Cui,Peizi He,Xiang Li,Jibin Liu,Guoping Liu,Mu Yang,Xiaoli Tian
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier BV]
卷期号:198: 114000-114000 被引量:4
标识
DOI:10.1016/j.jpba.2021.114000
摘要

Abstract Among the many systems available for heterologous protein production gram-negative bacterium Escherichia coli (E. coli) has long been widely used because of its ability to grow rapidly with a high density on inexpensive substrates. The use of E. coli as the host system has many regulatory issues, one of which is the residual host cell DNA. Residual DNA carried by biological products may lead to carcinogenicity and immunomodulation risks. The World Health Organization (WHO) for the acceptable amounts of residual host cell DNA is less than 10 ng per dose. Therefore, it is important to keep an extremely low level of residual host DNA in the biological products derived from E. coli. In this study, we designed primer/probe sets targeting E. coli 23S ribosomal RNA gene to quantify the residual DNA of E. coli by quantitative polymerase chain reactions (qPCR). Result showed that this primer/probe has high species specificity. The limit of detection (LOD) in this method is 0.01 pg/μl and this allowed for detection of residual host DNA of much lower concentrations. We assessed accuracy by calculating the recovery (92.1∼140.1 %) of the spiked DNA in plasmids which were produced from E. coli. We also checked intra-assay precision (9.8∼15.1 %) and inter-assay precision (10.9∼18.3 %) by repeatedly measuring the four different concentration standards. In addition, the robustness assay was performed by generating standard curve using short length E. coli DNA. The result showed that appropriate degree of DNA fragmentation will not affect tests. These validation studies demonstrated that our method has excellent specificity, linearity, accuracy, precision and robustness.
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