An image-centered approach to determine the role of influenza virus morphology on infection spread

以图像为中心的方法确定流感病毒形态对感染传播的作用

• 批准号: 1952887
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1952887
• 关键词: image; centered; approach; determine; role

Keywords: Influenza virus/ virus morphology/ virus structure/ virus spreadAbstract: Influenza A viruses (IAVs) can cause devastating disease. While IAVs are pleomorphic (they can form either spherical or filamentous particles), the role of virus morphology in determining disease severity remains unknown. We will combine state-of-the-art imaging technologies (including light, confocal and electron microscopy) with powerful model organ culture systems and reverse genetics technology to image the spread of morphologically distinct isogenic IAVs at ultra-high resolution. Our hypothesis is that filamentous particles spread more efficiently throughout the respiratory tract. This project aligns with the MRC Priority area A (Digital Technologies and Informatics for Health) as large amounts of data that will be generated and processed using quantitative high-throughput imaging platforms. We have the infrastructure, reagents and expertise required to perform and deliver this project. We have already identified a student who is currently finishing an MSc project on this subject at the CVR and is ready to start in October 2017.

关键词：流感病毒/病毒形态/病毒结构/病毒传播 摘要：甲型流感病毒（IAV）可引起毁灭性的疾病。虽然 IAV 具有多形性（它们可以形成球形或丝状颗粒），但病毒形态在确定疾病严重程度中的作用仍然未知。我们将把最先进的成像技术（包括光学、共聚焦和电子显微镜）与强大的模型器官培养系统和反向遗传学技术相结合，以超高分辨率对形态不同的同基因 IAV 的传播进行成像。我们的假设是丝状颗粒更有效地在整个呼吸道中传播。该项目符合 MRC 优先领域 A（健康数字技术和信息学），因为将使用定量高通量成像平台生成和处理大量数据。我们拥有执行和交付该项目所需的基础设施、试剂和专业知识。我们已经确定了一名学生，他目前正在 CVR 完成该主题的理学硕士项目，并准备于 2017 年 10 月开始。