An Engineering Biology Approach to Automated Workflow and BioDesign

IF 3.2 4区 生物学 Q1 Agricultural and Biological Sciences
Alexis Casas, Matthieu Bultelle, Richard Kitney
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引用次数: 0

Abstract

The paper addresses the application of engineering biology strategy and techniques to the automation of laboratory workflow - primarily in the context of biofoundries and biodesign applications based on the Design, Build, Test and Learn paradigm. The trend towards greater automation comes with its own set of challenges. On the one hand, automation is associated with higher throughput and with higher replicability. On the other hand, implementation of an automated workflow requires an instruction set that is far more extensive than for a manual workflow. Automated tasks must also be conducted in the order specified in the workflow, with the right logic, utilising suitable biofoundry resources, and at scale - whilst simultaneously collecting measurements and associated data. The paper describes an approach to automated workflow that is being trialled at the London Biofoundry at SynbiCITE. The solution represents workflows with directed graphs, uses orchestrators for their execution and relies on existing standards. The approach is highly flexible and applies to not only workflow automation in single locations but also distributed workflows (e.g for biomanufacturing). The final section presents an overview of the implementation - using the simple example of an assay based on a dilution, measurement and data analysis workflow.
自动化工作流程和生物设计的工程生物学方法
本文探讨了工程生物学战略和技术在实验室工作流程自动化中的应用--主要是在基于设计、构建、测试和学习范式的生物铸造和生物设计应用中。提高自动化程度的趋势伴随着一系列挑战。一方面,自动化与更高的吞吐量和更高的可复制性相关。另一方面,实施自动化工作流程所需的指令集远比手动工作流程要广泛得多。自动化任务还必须按照工作流程中指定的顺序,以正确的逻辑,利用适当的生物资源,大规模地进行,同时收集测量结果和相关数据。本文介绍了一种自动化工作流程方法,该方法正在伦敦生物实验室 SynbiCITE 试用。该解决方案用有向图表示工作流,使用协调器执行工作流,并依赖于现有标准。该方法非常灵活,不仅适用于单一地点的工作流自动化,也适用于分布式工作流(如生物制造)。最后一节概述了该方法的实施--以基于稀释、测量和数据分析工作流程的化验为例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Synthetic Biology
Synthetic Biology Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
4.50
自引率
3.10%
发文量
28
审稿时长
25 weeks
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