Richards Brenda, Cao Sherry, Plavsic Mark, Pomponio Robert, Davies Claire, Mattaliano Robert, Madden Stephen, Klinger Katherine, Palermo Adam
Functional Genomics & Science Computing;
Process Engineering Development;
PDA J Pharm Sci Technol. 2014 Nov-Dec;68(6):651-60. doi: 10.5731/pdajpst.2014.01025.
Next-generation sequencing has been evaluated at Genzyme as a means of identifying bioreactor contaminants due to its capability for detection of known and novel microbial species. In this approach, data obtained from next-generation sequencing is used to interrogate databases containing genomic sequences and identities of potential adventitious agents. We describe here the use of this approach to help identify the causative agent of a bioreactor contamination. We also present the results of spiking experiments to establish the limits of detection for DNA viruses, RNA viruses, and bacteria, in a background of Chinese hamster ovary cells, a cell line used for production of many human therapeutics. Using Illumina sequencing-based detection, all of the viruses included in this study were detected at less than 1 copy per cell, and bacteria were detected at 0.001 copy per cell. Thus, next-generation sequencing-based detection of adventitious agents is a valuable approach that can fill a critical unmet need in the detection of known and novel microorganisms in biopharmaceutical manufacturing.
Because biological products are manufactured in cells, the living environment must be kept sterile. Any introduction of microorganisms into the culture vessel may affect the growth and other biological properties of the cells or contaminate the product. It is therefore important to monitor the culture for such contaminants, but many methods can only detect a specific microorganism. In this study, we show that next-generation sequencing-based detection is a sensitive and complementary approach that can potentially detect a wide range of organisms.
在健赞公司,下一代测序技术已被评估为一种识别生物反应器污染物的方法,因为它能够检测已知和新型微生物物种。在这种方法中,从下一代测序获得的数据用于查询包含潜在外来因子基因组序列和身份的数据库。我们在此描述了使用这种方法来帮助识别生物反应器污染的病原体。我们还展示了加标实验的结果,以确定在中国仓鼠卵巢细胞(一种用于生产多种人类治疗药物的细胞系)背景下DNA病毒、RNA病毒和细菌的检测限。使用基于Illumina测序的检测方法,本研究中包含的所有病毒在每个细胞中少于1个拷贝时被检测到,细菌在每个细胞0.001个拷贝时被检测到。因此,基于下一代测序的外来因子检测是一种有价值的方法,可以满足生物制药生产中检测已知和新型微生物这一关键未满足的需求。
由于生物制品是在细胞中生产的,所以必须保持生存环境无菌。将任何微生物引入培养容器都可能影响细胞的生长和其他生物学特性或污染产品。因此,监测培养物中的此类污染物很重要,但许多方法只能检测特定的微生物。在本研究中,我们表明基于下一代测序的检测是一种灵敏且互补的方法,有可能检测多种生物体。