Live 3D airway models incorporating chemical sensors

结合化学传感器的实时 3D 气道模型

• 批准号: 2870630
• 金额: --
• 依托单位: University of Edinburgh
• 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-2870630
• 关键词: Live; 3D; airway; models; incorporating

3D tissue models derived from patient cells are increasingly important in developing new therapies. 3D models are crucial for the design of tissue-specific and patient-specific models of human diseases - animal models cannot embrace such a diversity of genotypes and do not always reflect how a human disease works. The non-invasive measurement of pH and redox potential using (Surface-Enhanced Raman Spectroscopy (SERS)), which reflect the metabolic status of cells and the capacity of tissues to repair and regenerate in 3D models, will enable effects of therapies to be monitored in a way that is not currently possible. In this project, we will integrate novel SERS sensors into a multicellular, live airway model - our goal is to monitor the response to therapy and the ability to repair with unparalleled spatial and temporal resolution across a range of genotypes (and disease phenotypes). The successful student will work in a dynamic multidisciplinary environment and receive training in Raman spectroscopy, microfabrication, 3D tissue models and cell culture.

从患者细胞中得出的3D组织模型在开发新疗法中越来越重要。 3D模型对于人类疾病的组织特异性和患者特异性模型的设计至关重要 - 动物模型不能包含如此多样的基因型，并且并不总是反映人类疾病的工作原理。使用（表面增强的拉曼光谱法（SERS））对pH和氧化还原电位的非侵入性测量，反映了细胞的代谢状态以及在3D模型中修复和再生组织的能力，将使治疗能够以目前不可能的方式监测治疗的效果。在这个项目中，我们将将新颖的SERS传感器整合到多细胞的活气道模型中 - 我们的目标是监测对治疗的反应以及在一系列基因型（以及疾病表型）上使用无与伦比的空间和时间分辨率进行修复的能力。成功的学生将在动态的多学科环境中工作，并接受拉曼光谱，微结构，3D组织模型和细胞培养的培训。