Coll De Peña Adriana, Masto Lucy, Atwood James, Tripathi Anubhav
Center for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island 02912, United States.
Division of Biology and Medicine, Brown University, Providence, Rhode Island 02912, United States.
ACS Omega. 2022 Jun 29;7(27):23457-23466. doi: 10.1021/acsomega.2c01813. eCollection 2022 Jul 12.
Adeno-associated virus (AAV) has shown great potential in gene therapy due to its low immunogenicity, lack of pathogenicity to humans, and ability to provide long-term gene expression . However, there is currently a need for fast, high-throughput characterization systems that require low volumes for the determination of its sample composition in terms of full and empty capsids since empty capsids are a natural byproduct of AAV synthesis. To address this need, the following study proposes a high-throughput electrophoresis-mediated microfluidics approach that is independent of sample input concentration to estimate the composition of a given sample by combining its protein and ssDNA information relative to a standard. Using this novel approach, we were able to estimate the percentage of full capsids of six AAV8 samples with an average deviation from the actual percentage of 4%. The experiments used for these estimations were conducted with samples of varying percentages of full capsids (21-75%) and varying concentrations (5 × 10-1 × 10 VP/mL) with a total volume requirement of 3-10 μL for triplicate analysis of the sample. This method offers a rapid way to evaluate the quality and purity of AAV products. We believe that our method addresses the critical need as recognized by the gene and molecular therapy community.
腺相关病毒(AAV)因其低免疫原性、对人类无致病性以及能够提供长期基因表达,在基因治疗中显示出巨大潜力。然而,目前需要快速、高通量的表征系统,这些系统需要低体积来确定其样品组成,包括完整衣壳和空衣壳,因为空衣壳是AAV合成的天然副产物。为满足这一需求,以下研究提出了一种高通量电泳介导的微流控方法,该方法独立于样品输入浓度,通过结合其与标准相关的蛋白质和单链DNA信息来估计给定样品的组成。使用这种新方法,我们能够估计六个AAV8样品的完整衣壳百分比,与实际百分比的平均偏差为4%。用于这些估计的实验是用不同完整衣壳百分比(21%-75%)和不同浓度(5×10-1×10 VP/mL)的样品进行的,对样品进行三次重复分析的总体积要求为3-10μL。该方法提供了一种快速评估AAV产品质量和纯度的方法。我们相信我们的方法满足了基因和分子治疗界所认识到的关键需求。