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Next Generation Ligand Binding Assays—Review of Emerging Technologies’ Capabilities to Enhance Throughput and Multiplexing

机译:下一代配体结合测定—审查新兴技术增强吞吐量和复用的能力

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摘要

The purpose of this manuscript is to provide a summary of the evaluation done by the Throughput and Multiplexing subteam on five emerging technologies: Single molecule array (Simoa™), Optimiser™, CyTOF® (Mass cytometry), SQIDLite™, and iLite™. Most of the information is presented with a minimum amount of published data and much is based on discussions with users and the vendor, to help provide the reader with an unbiased assessment of where the subteam sees each technology fitting best in the bioanalysis of large molecules. The evaluation focuses on technologies with advantages in throughput and multiplexing, but is wide enough to capture their strengths in other areas. While all platforms may be suited to support bioanalysis in the discovery space, because of their emergent nature, only Optimiser and SQIDLite are currently ready to be used in the regulated space. With the exception of Optimiser, each instrument/technology requires an up-front investment from the bioanalytical lab that will need justification during capital budget discussions. Ultimately, the platform choice should be driven by the quality of data, project needs, and the intended use of the data generated. In a time- and resource-constrained environment, it is not possible to evaluate all emergent technologies available in the market; we hope that this review gives the reader some of the information needed to decide which technology he/she may want to consider evaluating to support their drug development program in comparison to the options they already have in their hands.
机译:本手稿的目的是概述吞吐量和多路复用子团队对五种新兴技术的评估:单分子阵列(Simoa™),Optimiser™,CyTOF®(质量细胞计数法),SQIDLite™和iLite™。大部分信息以最少的公开数据显示,并且大部分是基于与用户和供应商的讨论而来的,以帮助读者公正地评估子团队认为每种技术最适合大分子生物分析的位置。评估的重点是在吞吐量和多路复用方面具有优势的技术,但范围之广足以捕捉其在其他领域的优势。尽管所有平台都可能适合支持发现空间中的生物分析,但由于它们的新兴性质,目前只有Optimiser和SQIDLite可以在受监管的空间中使用。除Optimiser以外,每种仪器/技术都需要生物分析实验室的前期投资,这在资本预算讨论期间将需要进行论证。最终,平台的选择应取决于数据的质量,项目需求以及所生成数据的预期用途。在时间和资源受限的环境中,无法评估市场上所有可用的新兴技术。我们希望这篇评论为读者提供一些信息,以便与他们已经拥有的选择相比,来决定他/她可能想要考虑评估以支持其药物开发计划的技术。

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