Boehringer Ingelheim Pharma GmbH & Co. KG, Viral Therapeutics Center, 88397 Biberach an der Riss, Germany.
Boehringer Ingelheim Pharma GmbH & Co. KG, Development Biologicals, 88397 Biberach an der Riss, Germany.
Int J Mol Sci. 2024 Jul 24;25(15):8076. doi: 10.3390/ijms25158076.
Infectivity assays are the key analytical technology for the development and manufacturing of virus-based therapeutics. Here, we introduce a novel assay format that utilizes label-free bright-field images to determine the kinetics of infection-dependent changes in cell morphology. In particular, cell rounding is directly proportional to the amount of infectious virus applied, enabling rapid determination of viral titers in relation to a standard curve. Our kinetic infectious virus titer (KIT) assay is stability-indicating and, due to its sensitive readout method, provides results within 24 h post-infection. Compared to traditional infectivity assays, which depend on a single readout of an infection endpoint, cumulated analysis of kinetic data by a fit model results in precise results (CV < 20%) based on only three wells per sample. This approach allows for a high throughput with ~400 samples processed by a single operator per week. We demonstrate the applicability of the KIT assay for the genetically engineered oncolytic VSV-GP, Newcastle disease virus (NDV), and parapoxvirus ovis (ORFV), but it can potentially be extended to a wide range of viruses that induce morphological changes upon infection. The versatility of this assay, combined with its independence from specific instruments or software, makes it a promising solution to overcome the analytical bottleneck in infectivity assays within the pharmaceutical industry and as a routine method in academic research.
感染力分析是开发和制造基于病毒的治疗药物的关键分析技术。在这里,我们介绍了一种新颖的分析方法,利用无标记明场图像来确定感染依赖性细胞形态变化的动力学。特别是,细胞圆化与应用的传染性病毒量成正比,能够快速确定与标准曲线相关的病毒滴度。我们的动力学传染性病毒滴度 (KIT) 分析是稳定性指示的,并且由于其敏感的读数方法,在感染后 24 小时内提供结果。与传统的感染分析相比,该分析依赖于感染终点的单次读数,通过拟合模型对动力学数据进行累积分析,可以根据每个样本仅三个孔的结果得出精确的结果(CV<20%)。这种方法允许每个操作人员每周处理约 400 个样本,具有高通量的特点。我们证明了 KIT 分析在基因工程溶瘤性 VSV-GP、新城疫病毒 (NDV) 和绵羊痘病毒 (ORFV) 中的适用性,但它可以潜在地扩展到能够诱导感染后形态变化的广泛病毒。该分析方法的多功能性,结合其对特定仪器或软件的独立性,使其成为克服制药行业感染分析中分析瓶颈的有前途的解决方案,并且是学术研究中的常规方法。