Single-capsid identification of full and empty status of recombinant adeno-associated viruses via resistive pulse sensing

IF 6.5 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Sensors and Actuators Reports Pub Date : 2024-09-06 DOI:10.1016/j.snr.2024.100242
Hanna T. Nguyen , Farhad Shiri , Matthew Verber , Collin McKinney , Junseo Choi , Sunggook Park , Javan Surtan , Simna Saraswathi Prasannakumari , Kimberly D. Ritola , Steven A. Soper
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Abstract

Recombinant adeno-associated viruses (rAAVs) are promising vectors for gene therapy, but their production is hampered by the presence of empty capsids, escalating costs and diminishing safety and efficacy. Traditional methods for assessing capsid content status lack adaptability to in-line production workflows. The lack of in-line methods to monitor rAAV production quality limits efforts seeking to improve production efficiency and subsequent in vivo performance. This study introduces a dual in-plane nanopore sensor fabricated in thermoplastics via replication, which can offer near real-time sensing for potential integration into gene therapy production lines and scalability for high-scale manufacturing at low cost. By leveraging differences in surface charge density and internal capsid content, coupled nanoscale electrophoresis and resistive pulse sensing enabled label-free identification of individual full and empty capsids using supervised machine learning with a neural network. This single-capsid analysis approach may also offer insights into rAAV-host cell interactions and population heterogeneity. We demonstrated using rAAV9 as an example due to its wide use in gene therapies, but establishment of the methodology as delineated in this manuscript will make the technology applicable to other vectors, such as lentiviruses and adenoviruses.

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通过电阻脉冲传感技术识别重组腺相关病毒的完整和空白状态的单囊壳
重组腺相关病毒(rAAV)是一种前景广阔的基因治疗载体,但其生产却受到空囊壳、成本上升以及安全性和有效性降低的阻碍。传统的噬菌体含量状态评估方法无法适应在线生产工作流程。缺乏监控 rAAV 生产质量的在线方法限制了提高生产效率和后续体内表现的努力。本研究介绍了一种通过复制在热塑性塑料中制造的双平面纳米孔传感器,它可以提供近乎实时的传感,从而有可能集成到基因治疗生产线中,并以低成本实现大规模生产的可扩展性。通过利用表面电荷密度和内部囊壳含量的差异,耦合纳米级电泳和电阻脉冲传感利用神经网络的监督机器学习实现了对单个完整和空囊壳的无标记识别。这种单个囊壳分析方法还能帮助我们深入了解 rAAV-宿主细胞之间的相互作用和种群异质性。我们以 rAAV9 为例进行了演示,因为它被广泛用于基因治疗,但本手稿中描述的方法的建立将使该技术适用于其他载体,如慢病毒和腺病毒。
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来源期刊
CiteScore
9.60
自引率
0.00%
发文量
60
审稿时长
49 days
期刊介绍: Sensors and Actuators Reports is a peer-reviewed open access journal launched out from the Sensors and Actuators journal family. Sensors and Actuators Reports is dedicated to publishing new and original works in the field of all type of sensors and actuators, including bio-, chemical-, physical-, and nano- sensors and actuators, which demonstrates significant progress beyond the current state of the art. The journal regularly publishes original research papers, reviews, and short communications. For research papers and short communications, the journal aims to publish the new and original work supported by experimental results and as such purely theoretical works are not accepted.
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