Bilateral BBSRC-NSF/BIO: Causal modeling of T cell signaling in time and space

双边 BBSRC-NSF/BIO：T 细胞信号传导在时间和空间上的因果模型

• 批准号: 1616492
• 负责人: Robert Murphy
• 金额: $ 51.81万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-15 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1616492&HistoricalAwards=false
• 关键词: Bilateral; BBSRC; NSF; BIO; Causal

The ability to understand and manipulate the behavior of cells is currently limited. In this project, which is a collaboration between researchers at the Carnegie-Mellon University (US) and the University of Bristol (UK), open source computational tools will be developed that will permit microscopic images of live cells (T lymphocytes) that mediate immune responses to be converted into computer models. These models will capture from the microscopic images the behavior of the proteins that constitute the signaling pathways and networks that underlie and control the behavior of the cells, producing a detailed understanding of the mechanisms by which T cell immune reactions are controlled. Interdisciplinary training in cell biology and computer science will be provided to graduate and undergraduate students (including members of groups underrepresented in science), and open access movies designed to promote interest in STEM fields will be produced for K-12 students. These movies will be developed through partnerships with Pittsburgh-area schools serving primarily students from underrepresented minorities. Movies capturing fluorescence images of proteins (and determination of cell-wide protein phosphorylation) will be used to develop open source software tools that will generate and interpret spatiotemporally aligned maps of 35 key molecules involved in T lymphocyte signaling. The spatiotemporal maps will be used to infer potential signaling complexes, and the apparent affinities and potential causal relationships amongst proteins involved in T lymphocyte signaling.This collaborative US/UK project is supported by the US National Science Foundation and the UK Biotechnology and Biological Sciences Research Council.

当前，理解和操纵细胞行为的能力是有限的。在这个项目中，这是卡内基 - 梅隆大学（美国）研究人员与布里斯托尔大学（英国）之间的合作，将开发开源计算工具，该工具将允许活细胞的显微镜图像（T淋巴细胞）的显微镜图像，这些图像（T淋巴细胞）介导免疫反应将免疫反应转化为计算机模型。这些模型将从显微镜图像中捕获构成和控制细胞行为的信号通路和网络的蛋白质的行为，从而对控制T细胞免疫反应的机制产生详细的理解。将向研究生和本科生提供细胞生物学和计算机科学方面的跨学科培训（包括科学中代表性不足的小组成员），并将为K-12学生产生旨在促进对STEM领域兴趣的开放访问电影。这些电影将通过与匹兹堡地区的学校建立合作伙伴关系，该学校主要为来自代表性不足的少数群体的学生提供服务。捕获蛋白质的荧光图像（以及细胞全细胞磷酸化的测定）的荧光图像将用于开发开源软件工具，该工具将生成和解释参与T淋巴细胞信号的35个关键分子的空间排列图。时空图将用于推断潜在的信号传导复合物，并且参与T淋巴细胞信号的蛋白质之间的明显亲和力和潜在因果关系。该协作美国/英国项目得到了美国国家科学基金会和英国生物技术与生物科学研究委员会的支持。