MIB CDFA - Application of novel imaging technologies towards quantitative analytical phenotyping of single cells

MIB CDFA - 新型成像技术在单细胞定量分析表型中的应用

• 批准号: EP/I016716/1
• 负责人: Sabine Flitsch
• 金额: $ 25.64万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FI016716%2F1
• 关键词: MIB; CDFA; Application; novel; imaging

The feasibility account will offer a step change from the limitations of present light based microscope imaging techniques to offer high resolution data to enable quantitative analysis of intracellular biological events. To achieve this goal the collaborative group from within the Manchester Interdisciplinary Biocentre will apply pioneering molecular imaging technology in parallel to enable cellular phenotyping, and detection of the intracellular localization and movement of metabolites. There are numerous areas of research within the biological/biomedical field that require the ability to quantitatively analyse single cells and large cell populations. For example, metabolomic studies have the potential to yield understanding of complex disease processes, drug toxicity and cellular function. Tools are required that enable metabolites to be identified and, more importantly, mapped spatially within a cell or tissue in-situ with minimal chemical intervention. In the field of stem cell research, cell type determination requires arduous procedures including manipulation, isolation and fixation of cells and subsequent immunohistochemistry. This proposal seeks to combine new and emerging technologies and methodologies for cellular manipulation, sorting and imaging. The account will stretch the boundaries of imaging techniques into novel cell based applications combined with micro/nano-fluidic technology through new collaborations at the interface of the physical sciences, life sciences, and medicine. This would provide enormously powerful new tools with potential applications in systems biology, fundamental cell biology, through to medical diagnostics.

可行性帐户将提供一个步骤的变化，从目前的光为基础的显微镜成像技术的限制，提供高分辨率的数据，使细胞内生物事件的定量分析。为了实现这一目标，曼彻斯特跨学科生物中心的合作小组将并行应用开创性的分子成像技术，以实现细胞表型分析，并检测代谢物的细胞内定位和运动。在生物/生物医学领域中有许多研究领域需要定量分析单细胞和大细胞群的能力。例如，代谢组学研究有可能产生对复杂疾病过程、药物毒性和细胞功能的理解。需要能够识别代谢物的工具，更重要的是，在最小的化学干预的情况下，在细胞或组织内原位进行空间映射。在干细胞研究领域，细胞类型的确定需要艰苦的程序，包括操作、分离和固定细胞以及随后的免疫组织化学。该提议寻求将用于细胞操作、分选和成像的新的和新兴的技术和方法联合收割机组合。该帐户将通过物理科学，生命科学和医学界面的新合作，将成像技术的边界扩展到与微/纳米流体技术相结合的新型细胞应用中。这将提供非常强大的新工具，在系统生物学，基础细胞生物学以及医学诊断方面具有潜在的应用。

项目成果

Single-Cell Analysis

• DOI: 10.1007/978-1-61779-567-1
• 发表时间: 2020-08
• 期刊: Cells
• 影响因子: 6
• 作者: T. Santra;F. Tseng

Analysis of single eukaryotic cells using Raman Tweezers.

使用拉曼镊子分析单个真核细胞。

• DOI: 10.1007/978-1-61779-567-1_12
• 发表时间: 2012
• 期刊: Methods in molecular biology (Clifton, N.J.)
• 作者: Faria EC