Developing an Open Source Imaging-Driven Multifunctional Bioplotter (IDMB) for next generation in vitro modelling

开发用于下一代体外建模的开源成像驱动的多功能生物绘图仪 (IDMB)

• 批准号: BB/T011572/1
• 负责人: Andrea Serio
• 金额: $ 18.85万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FT011572%2F1
• 关键词: Developing; Open; Source; Imaging; Driven

Cell culture experiments offer unique advantages when trying to study biological mechanisms, which mainly come down to the ability to manipulate both the key cell players and their environment within an experimental set-up, in ways that in vivo experiments would not otherwise allow. This increased control arises from the fact that cell culture systems are inherently less complex than their in vivo counterparts. This reduction of complexity is both an advantage and a crucial limitation of these platforms, and in recent years we have witnessed a plethora of new technologies and tools introduced to increase complexity of cell culture experiments.Amongst these: stem cell differentiation and reprogramming to obtain the right "key players", live imaging techniques to monitor their dynamic behaviour and interactions, and even bioengineering techniques to control their environment in both 2D and 3D. Thanks to these we can now start to perform more complex experiments that better recapitulate the biological processes we want to study, but we are still limited by our technical capacity to:i) reliably construct complex arrangements of cell with determined architecture, ii) directly control and observe the interactions between different cell types and extracellular matrix (ECM), both across space (i.e. their relative position) and time (i.e. how their behavior changes across different time-points during the experiment)iii) effectively manipulate these complex cultures, which inversely scales with complexity itselfiv) efficiently separate relevant subpopulation of the complex cultures for analysis without losing information on their position and interactions. To overcome these limitations and study dynamic biological complex systems like neural circuits, developmental niches, tumour microenvironments, or bacterial biofilms we need new platforms that allow us to first construct complex architectures of live cells and ECM, then influence their behaviour & composition in a dynamic way, and finally separate them into relevant subpopulation for analysis. And, as biological systems are dynamic in nature, we need to achieve all of this, while monitoring the behaviour and changes in the composition of the culture.These capabilities currently do not exist within a single integrated platform, but the technologies necessary are available in the form of i) live imaging platforms, ii) cell-positioning tools, iii) bioplotters or 3D bioprinter and iv) microfluidic-based cell sorters. Particularly, the current technological gap is represented by the fact that while commercial 3D bioprinters and bioplotters can construct complex cultures, they do not allow to acquire live microscopy data, and cannot function as dynamic manipulation tools as they construct cultures without direct feedback. And while live imaging systems that can observe their dynamic behaviour are available, no single platform allows to directly construct or manipulate bioprinted live cell constructs while at the same time acquiring live data on the cell behaviour.The aim of this project is to capitalise on these different technologies and integrate them within one single prototype platform, that we have named Imaging-Driven Multifunctional Bioplotter (IDMB). This system will be an open-source platform, adaptable to any biology lab and will integrate the functionality of live imaging systems and cell bioplotters/manipulation systems to offer the possibility of plotting live cells and ECM in complex arrangements, as well as manipulate and analyse these complex cultures, in a dynamic way, guided directly by the imaging data. During this project we will construct and optimise a fully functional prototype of the IDMB system and obtain key proof-of-principle data of its application to in vitro modelling.

细胞培养实验在试图研究生物学机制时提供了独特的优势，这主要归结为在实验设置中以体内实验不允许的方式操纵关键细胞参与者及其环境的能力。这种增加的控制源于细胞培养系统固有地比其体内对应物更不复杂的事实。这种复杂性的降低既是这些平台的优势，也是其关键限制，近年来，我们见证了大量新技术和工具的引入，以增加细胞培养实验的复杂性。干细胞分化和重新编程，以获得正确的“关键球员”，实时成像技术，以监测其动态行为和相互作用，甚至生物工程技术来控制它们的二维和三维环境。由于这些，我们现在可以开始进行更复杂的实验，更好地概括我们想要研究的生物过程，但我们仍然受到我们的技术能力的限制：i）可靠地构建具有确定结构的细胞的复杂排列，ii）直接控制和观察不同细胞类型和细胞外基质（ECM）之间的相互作用，（即它们的相对位置）和时间（即，在实验期间，它们的行为如何在不同时间点上变化）iii）有效地操纵这些复杂的文化，其与复杂性本身成反比，有效地分离复杂文化的相关亚群用于分析，而不会丢失关于它们的位置和相互作用的信息。为了克服这些限制并研究动态生物复杂系统，如神经回路，发育小生境，肿瘤微环境或细菌生物膜，我们需要新的平台，使我们能够首先构建活细胞和ECM的复杂结构，然后以动态方式影响它们的行为和组成，最后将它们分离成相关的亚群进行分析。由于生物系统本质上是动态的，我们需要实现所有这些，同时监测培养物的行为和组成变化。这些功能目前不存在于单一的集成平台中，但所需的技术可以通过以下形式获得：i）实时成像平台，ii）细胞定位工具，iii）生物绘图仪或3D生物打印机和iv）基于微流体的细胞分选仪。特别是，目前的技术差距表现为这样一个事实，即虽然商业3D生物打印机和生物绘图仪可以构建复杂的培养物，但它们不允许获得实时显微镜数据，并且在没有直接反馈的情况下构建培养物时不能作为动态操作工具。虽然可以观察其动态行为的实时成像系统是可用的，但没有单一的平台可以直接构建或操纵生物打印的活细胞构建体，同时获取细胞行为的实时数据。该项目的目的是利用这些不同的技术，并将它们集成到一个单一的原型平台中，我们将其命名为成像驱动的多功能生物传感器（IDMB）。该系统将是一个开源平台，适用于任何生物实验室，并将集成实时成像系统和细胞生物绘图仪/操作系统的功能，以提供绘制复杂排列的活细胞和ECM的可能性，以及直接由成像数据指导的动态方式操作和分析这些复杂的培养物。在该项目中，我们将构建和优化IDMB系统的全功能原型，并获得其应用于体外建模的关键原理验证数据。

项目成果

Axonal Length Determines Distinct Homeostatic Phenotypes in Human iPSC Derived Motor Neurons on a Bioengineered Platform.

轴突长度决定生物工程平台上人类 iPSC 衍生的运动神经元的独特稳态表型。

• DOI: 10.1002/adhm.202101817
• 发表时间: 2022
• 期刊: Advanced healthcare materials
• 影响因子: 10
• 作者: Hagemann C

"Axonal Length Determines distinct homeostatic phenotypes in human iPSC derived motor neurons on a bioengineered platform"

“轴突长度在生物工程平台上确定人类 iPSC 衍生的运动神经元的不同稳态表型”

• DOI: 10.1101/2021.08.30.458271
• 发表时间: 2021
• 作者: Hagemann C