Understanding the immunomodulatory activity of pharmaceuticals in zebrafish using high content imaging and phenotypic profiling

使用高内涵成像和表型分析了解药物对斑马鱼的免疫调节活性

• 批准号: 2879914
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2879914
• 关键词: Understanding; immunomodulatory; activity; pharmaceuticals; zebrafish

The aim of this project is to integrate cutting-edge high-content (HC)-imaging technologies and big data analysis to advance our understanding of how pharmaceuticals modulate immune responses in fish. Three objectives are proposed:1) Adopt an innovative HC-cell-imaging technique, called Cell Painting, to characterise the phenotypic signature of isolated zebrafish cells (neutrophils, fibroblast-like ZF4) exposed to pharmaceuticals.2) Utilise confocal microscopy to quantify the effect of pharmaceuticals on neutrophil dynamics in-vivo using non-protected transgenic zebrafish larvae.3) Develop a computational pipeline that integrates in-vitro and in-vivo phenotypic and functional data (1300+ parameters) to characterise the fish-specific immunomodulatory activity profile of pharmaceuticals.

该项目的目的是整合尖端的高内容（HC）成像技术和大数据分析，以促进我们对药物如何调节鱼类免疫反应的理解。提出了三个目标：1）采用一种创新的HC细胞成像技术，称为细胞绘画，以验证暴露于药物的分离的斑马鱼细胞（中性粒细胞，成纤维细胞样ZF 4）的表型特征。2）利用共聚焦显微镜来量化药物对中性粒细胞动力学的影响，在体内使用非保护的转基因斑马鱼幼虫。3）开发一个计算管道，集成体外和体内表型和功能数据（1300+参数），以验证药物的鱼类特异性免疫调节活性特征。