在液体处理平台上构建番茄红素校准曲线──为开发自动稀释方案提供更广泛的启示

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Matthieu Bultelle, Alexis Casas and Richard Kitney*, 
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引用次数: 0

摘要

液体处理是合成生物学中的一项基本操作--所有方案都涉及一个或多个液体处理操作。因此,为了释放自动化的优势(如更高的吞吐量、更高的可复制性),这一步骤必须谨慎地实现自动化。在本文中,我们介绍了伦敦生物基金会在 SynbiCITE 上进行的一项研究,该研究从构建番茄红素在二甲亚砜 (DMSO) 中的校准曲线的角度出发,探讨了液体处理及其可靠自动化的问题。该研究具有重要的实际工业应用价值(例如,番茄红素是一种具有工业价值的类胡萝卜素,DMSO 是一种常用的提取剂)。这项研究也是液体处理自动化的有效试验平台。因此有必要开发灵活的液体处理方法,并将其推广到其他自动化应用中。此外,由于番茄红素/二甲基亚砜是一种难以混合的物质,因此它能够揭示自动液体处理规程的问题,并对其进行压力测试。这项研究的一个重要组成部分是,由于液体处理步骤无处不在,因此必须以高标准控制误差。重要的是要避免这些错误传播到协议的其他部分。为此,我们开发了一个基于回归的实用框架,并在整个研究过程中加以使用,以识别、评估和监控转移误差。论文最后提出了有关液体处理自动化的建议,这些建议适用于大量应用(而不仅仅是复杂液体,如 DMSO 中的番茄红素或校准曲线)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Construction of a Calibration Curve for Lycopene on a Liquid-Handling Platform─Wider Lessons for the Development of Automated Dilution Protocols

Construction of a Calibration Curve for Lycopene on a Liquid-Handling Platform─Wider Lessons for the Development of Automated Dilution Protocols

Liquid-handling is a fundamental operation in synthetic biology─all protocols involve one or more liquid-handling operations. It is, therefore, crucial that this step be carefully automated in order to unlock the benefits of automation (e.g., higher throughput, higher replicability). In the paper, we present a study, conducted at the London Biofoundry at SynbiCITE, that approaches liquid-handling and its reliable automation from the standpoint of the construction of the calibration curve for lycopene in dimethyl sulfoxide (DMSO). The study has important practical industrial applications (e.g., lycopene is a carotenoid of industrial interest, DMSO is a popular extractant). The study was also an effective testbed for the automation of liquid-handling. It necessitated the development of flexible liquid-handling methods, which can be generalizable to other automated applications. In addition, because lycopene/DMSO is a difficult mix, it was capable of revealing issues with automated liquid-handling protocols and stress-testing them. An important component of the study is the constraint that, due to the omnipresence of liquid-handling steps, errors should be controlled to a high standard. It is important to avoid such errors propagating to other parts of the protocol. To achieve this, a practical framework based on regression was developed and utilized throughout the study to identify, assess, and monitor transfer errors. The paper concludes with recommendations regarding automation of liquid-handling, which are applicable to a large set of applications (not just to complex liquids such as lycopene in DMSO or calibration curves).

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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