Analytical Development, Biogen, Cambridge, Massachusetts, United States of America.
Biostatistics, Biogen, Cambridge, Massachusetts, United States of America.
PLoS One. 2023 Dec 14;18(12):e0293277. doi: 10.1371/journal.pone.0293277. eCollection 2023.
Recombinant adeno-associated virus (rAAV) vectors have become a reliable strategy for delivering gene therapies. As rAAV capsid content is known to be heterogeneous, methods for rAAV characterization are critical for assessing the efficacy and safety of drug products. Multiplex digital PCR (dPCR) has emerged as a popular molecular approach for characterizing capsid content due to its high level of throughput, accuracy, and replicability. Despite growing popularity, tools to accurately analyze multiplexed data are scarce. Here, we introduce a novel statistical model to estimate genome integrity from duplex dPCR assays. This work demonstrates that use of a Poisson-multinomial mixture distribution significantly improves the accuracy and quantifiable range of duplex dPCR assays over currently available models.
重组腺相关病毒 (rAAV) 载体已成为递送基因治疗的可靠策略。由于 rAAV 衣壳的含量是不均匀的,因此 rAAV 特征的方法对于评估药物产品的疗效和安全性至关重要。由于其高通量、准确性和可重复性,多重数字 PCR (dPCR) 已成为一种用于表征衣壳含量的流行分子方法。尽管越来越受欢迎,但准确分析多重数据的工具仍然缺乏。在这里,我们引入了一种新的统计模型,用于从双 dPCR 测定中估计基因组完整性。这项工作表明,使用泊松-多项混合分布显著提高了双 dPCR 测定的准确性和可量化范围,优于当前可用的模型。