CMMI-EPSRC: A novel multifunctional platform to study cell and nuclear mechanosensing
CMMI-EPSRC: A novel multifunctional platform to study cell and nuclear mechanosensing
批准号:
EP/X026663/1
负责人:
Michael Smutny
金额:
$111.69万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
细胞能够感知外部机械信号并将其转化为生化信号,这些信号在组织稳态、发育和疾病过程中对细胞过程具有重要影响。然而,我们对力传感和转导的具体机制的理解目前是有限的,并且在生理背景下支撑许多重要机械化学过程的分子机制在很大程度上仍然难以捉摸。在这个项目中,我们将基于微流体和快速3D成像的最新进展,以及用于分析复杂3D时间序列的新机器学习方法,开发精确,高通量的方法来探测和量化细胞力传感和响应。我们的多功能高通量机械生物学平台将使我们能够研究细胞对通过物理细胞-细胞相互作用传递的特定机械信号的细胞和分子反应,从而深入了解机械刺激在基本细胞和发育过程中的作用。这样一个平台的产生依赖于跨学科的方法,包括工程和微制造、生物物理学、计算机视觉和建模、用于生物成像和生物信息学的先进显微镜。我们平台的新颖设计将使细胞的顺序加载形成细胞双联,用于并行细胞操作和成像。它将允许将三种生理相关的力类型(剪切,压缩,张力)应用于细胞,并精确调节其大小,持续时间和频率,这对于传统的微流体设备来说是巨大的挑战。我们还将开发一种新的流量管理系统,允许可编程和有针对性的细胞检索,用于芯片外分析,如组学方法。我们将进一步适应光片显微镜成像整个细胞体积和亚细胞分子动力学。我们将开发新的微流控室设计和成像协议,同时双色图像采集。此外,行业合作伙伴智能成像创新(3i),谁是光片显微镜的领先开发商,将提供切实可行的解决方案,将有价值的广大用户。我们将使用先进的方法进行自动细胞分割和跟踪亚细胞区域,以在4D中绘制荧光分布。我们将利用神经网络在生成建模方面的最新发展来聚合来自双色通道实验的数据。数学模型将有助于解释数据中的复杂关系,并指导新的实验。为了展示我们平台的广泛适用性和多功能性,我们将使用两个独立的蜂窝系统。构成心脏/心肌的心肌细胞负责产生收缩力,并长期暴露于机械刺激下。传递到核膜的外力被证明对心肌细胞功能至关重要,这一途径的缺陷可导致疾病(心脏板层病)。胚胎干细胞(ES)在人体所有细胞系的发育中起着关键作用,在再生医学中也至关重要。胚胎干细胞在发育过程中需要来自邻近细胞的机械信号来实现正常功能,包括建立特定的细胞身份。我们将进一步推进最新的生物信息学分析工具,以确定由于特定力输入而导致的染色质可及性和基因表达的变化。重要的是,我们的平台很容易适应于其他细胞类型和粘接基质上的非悬浮细胞,并且可以与靶向递送化合物相结合。我们预计我们的平台还将能够在更广泛的背景下研究机械转导的作用,包括癌症、免疫学和再生,并可以进一步用于药物发现和筛选。
英文摘要
Cells are able to sense and translate external mechanical cues into biochemical signals, which have major effects on cellular processes during tissue homeostasis, development and diseases. However, our understanding of the specific mechanisms of force sensing and transduction is currently limited and molecular mechanisms underpinning many important mechanochemical processes in a physiological context remain largely elusive. In this project we will build on recent advances in microfluidics and fast 3D imaging as well as new machine learning methods for analysing complex 3D timeseries to develop precise, high-throughput methods to probe and quantify cellular force sensing and response. Our versatile high-throughput mechanobiology platform will allow us to study cellular and molecular responses of cells to specific mechanical signals transmitted through physical cell-cell interactions, providing insights into the role of mechanical stimuli in fundamental cellular and developmental processes. The generation of such a platform relies on an interdisciplinary approach with innovations in engineering and microfabrication, biophysics, computer vision and modelling, advanced microscopy for bioimaging and bioinformatics. The novel design of our platform will enable sequential loading of cells to form cell doublets for parallel cell manipulation and imaging. It will allow for the application of three physiologically relevant force types (shear, compression, tension) to cells with precise regulation of their magnitude, duration and frequency, which is vastly challenging with conventional microfluidic devices. We will also develop a new flow management system allowing programmable and targeted retrieval of cells for off-chip analyses such as omics approaches.We will further adapt light-sheet microscopy to image whole cell volumes and subcellular molecular dynamics. We will develop new microfluidic chamber designs and imaging protocols for simultaneous dual-color image acquisition. Moreover, industry partner Intelligent imaging innovations (3i), who are a leading developer of lightsheet microscopy, will provide practicable solutions that will be valuable to a wide range of users.We will use advanced methods for automated cell segmentation and tracking of subcellular regions to map fluorescence distributions in 4D. We will build on recent developments in generative modelling using neural networks to aggregate data from dual colour channel experiments. Mathematical models will help to interpret the complex relationships in the data and to guide new experiments.To demonstrate broad applicability and versatility of our platform, we will utilize two independent cellular systems. Cardiomyocyte cells that make the heart/cardiac muscle are responsible for generating contractile forces and are permanently exposed to mechanical stimulation. External forces transmitted to the nuclear envelope were shown to be critical in cardiomyocyte function and defects in this pathway can lead to diseases (cardiac laminopathies). Embryonic stem (ES) cells play pivotal roles in development by giving rise to all cell lineages in the body and are also crucial in regenerative medicine. ES cells require mechanical signals from neighboring cells for proper function during development including establishing specific cell identities . We will further advance recent bioinformatic analysis tools to identify changes in chromatin accessibility and gene expression due to specific force inputs.Importantly, our platform is easily adaptable to other cell types and non-suspended cells on adhesive substrates, and can be combined with targeted delivery of compounds. We anticipate that our platform will also enable investigating the role of mechanotransduction in a broader context, including cancer, immunology and regeneration, and can further be adapted for drug discovery and screening.
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会议论文
Physical mechanisms driving mesendoderm collective cell migration
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批准号:BB/T016493/1
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项目类别:Research Grant
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资助金额:$64.71万
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财政年份:2020
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负责人:Michael Smutny
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依托单位:
海外基金