Integrating living analytics into biomanufacturing processes

将生活分析集成到生物制造流程中

• 批准号: EP/T005297/1
• 负责人: Karen Polizzi
• 金额: $ 29.05万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT005297%2F1
• 关键词: Integrating; living; analytics; into; biomanufacturing

Cells are increasingly being used to manufacture a wide variety medicines, renewable plastics, chemicals, and other consumer products. Understanding the behaviour of cells during the manufacturing process is necessary to optimise production and to make sure that product yield and quality are high. Currently, this is done by measuring a few factors using established technologies based on chemistry. However, living systems have naturally have the ability to sense their environment and respond to changes accordingly. These mechanisms have better sensitivity and specificity than the chemical methods currently used. In the past few years, scientists have begun to harness these natural systems to develop analytical technology called biosensors. Biosensors can be used to detect the presence or absence of a molecule of interest in the environment. They also can be used to estimate the concentration of a molecule of interest (analyte). It is the latter type of biosensor that is interesting for biological manufacturing processes because it allows the accurate measurement of concentrations of key factors that are important for maximising the yield and productivity of cell-based manufacturing systems.The aim of this proposal is to develop a framework for using living biosensors in biomanufacturing processes. The focus in on identifying the best way to grow the biosensor and the producing cell together in such away that both types of cells survive and function correctly. For this, we will try a number of different physical separation methods including membrane separation, trapping the biosensor in a polymer, or trapping the biosensor in a bubble of lipid. We will also try to genetically modify the biosensor cell to cause it to stick to the wall of the culture vessel or to bud off non-living particles that can still behave as biosensors, but can no longer grow.Each of these strategies will be tested using a biosensor we have already developed to measure the concentration of an analyte coming from mammalian cells that are also producing a protein drug. We want to find conditions where the biosensor does not overgrow the mammalian cell, but still can sense and respond to changes in analyte concentration. Once the basic principle of a living analytic has been demonstrated, we hope that this will change the way that measurements of cellular behaviour are done in the future and lead to better understanding of cells during the manufacturing process. Hopefully one day this will lead to higher yields of products from biological manufacturing systems, which ultimately will decrease the costs to consumers.

细胞越来越多地用于制造各种药物，可再生塑料，化学品和其他消费品。了解电池在制造过程中的行为对于优化生产并确保高产量和高质量是必要的。目前，这是通过使用基于化学的现有技术测量一些因素来完成的。然而，生命系统自然具有感知环境并相应地对变化做出反应的能力。这些机制比目前使用的化学方法具有更好的灵敏度和特异性。在过去的几年里，科学家们已经开始利用这些自然系统来开发称为生物传感器的分析技术。生物传感器可用于检测环境中目标分子的存在或不存在。它们也可用于估计目标分子（分析物）的浓度。这是后一种类型的生物传感器，是有趣的生物制造过程，因为它允许准确测量的浓度的关键因素，是重要的最大化的产量和生产力的细胞为基础的制造systems.The建议的目的是开发一个框架，在生物制造过程中使用活的生物传感器。重点是确定生物传感器和生产细胞一起生长的最佳方式，使两种类型的细胞都能存活并正常工作。为此，我们将尝试许多不同的物理分离方法，包括膜分离，将生物传感器捕获在聚合物中，或将生物传感器捕获在脂质气泡中。我们还将尝试对生物传感器细胞进行基因改造，使其粘附在培养容器的壁上，或者使其萌发出非生命颗粒，这些颗粒仍然可以作为生物传感器，但不再能生长。我们将使用我们已经开发的生物传感器来测试这些策略中的每一种，以测量来自哺乳动物细胞的分析物的浓度，这些细胞也在生产蛋白质药物。我们希望找到生物传感器不会过度生长哺乳动物细胞的条件，但仍然可以感测和响应分析物浓度的变化。一旦活体分析的基本原理得到证明，我们希望这将改变未来测量细胞行为的方式，并在制造过程中更好地了解细胞。希望有一天，这将导致生物制造系统的产品产量更高，最终将降低消费者的成本。

项目成果

High resolution biosensor to test the capping level and integrity of mRNAs.

• DOI: 10.1093/nar/gkaa955
• 发表时间: 2020-12-16
• 期刊: Nucleic acids research
• 影响因子: 14.9
• 作者: Moya-Ramírez I;Bouton C;Kontoravdi C;Polizzi K
• 通讯作者: Polizzi K

An experimental approach probing the conformational transitions and energy landscape of antibodies: a glimmer of hope for reviving lost therapeutic candidates using ionic liquid.

• DOI: 10.1039/d1sc02520a
• 发表时间: 2021-07-14
• 期刊: Chemical science
• 影响因子: 8.4
• 作者: Shmool TA;Martin LK;Bui-Le L;Moya-Ramirez I;Kotidis P;Matthews RP;Venter GA;Kontoravdi C;Polizzi KM;Hallett JP
• 通讯作者: Hallett JP