School of Life Sciences and the State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, People's Republic of China.
Changzhou High-Tech Research Institute of Nanjing University and Jiangsu TargetPharma Laboratories Inc., Changzhou, People's Republic of China.
Biotechnol Appl Biochem. 2019 Sep;66(5):815-822. doi: 10.1002/bab.1792. Epub 2019 Jun 24.
In this study, we identified a "black dot"-like cell culture contaminant as a species belonging to the genus of Pusillimonas using 16S rDNA sequencing. Among all antibiotics tested, a combinatorial treatment of ampicillin and gentamicin both at 100 µg/mL was able to eliminate this contaminant. The contaminant was then visualized by fluorescence microscopy using propidium iodide staining and was found inside the cytosol of contaminated A549 cells. To characterize the efficacy of antibiotics for contaminant removal, we devised a quantitative method to determine the average number of 16S rDNA copies associated with a single A549 cell, which is directly proportional to the average number of contaminant per A549 cell. By using primers specific to the 16S rDNA sequence of the contaminant, we were able to estimate contaminants per single contaminated cell using both qPCR-based relative and absolute quantification.
在这项研究中,我们通过 16S rDNA 测序鉴定出一种“黑点”样细胞培养污染物,属于 Pusillimonas 属。在所有测试的抗生素中,氨苄青霉素和庆大霉素联合使用,浓度均为 100µg/ml,能够有效消除这种污染物。然后,我们使用碘化丙啶染色通过荧光显微镜观察到污染物,发现其存在于受污染的 A549 细胞的细胞质内。为了评估抗生素对污染物去除的效果,我们设计了一种定量方法来确定与单个 A549 细胞相关的 16S rDNA 拷贝的平均数量,这与每个 A549 细胞中的污染物的平均数量直接成正比。通过使用针对污染物 16S rDNA 序列的特异性引物,我们能够使用基于 qPCR 的相对定量和绝对定量来估计每个受污染细胞中的污染物数量。