CAREER: Multiparticle Cell Deposition in Realistic Geometries

职业：真实几何形状中的多粒子细胞沉积

• 批准号: 0448788
• 负责人: Michael King
• 金额: $ 40万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-15 至 2009-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0448788&HistoricalAwards=false
• 关键词: CAREER; Multiparticle; Cell; Deposition; Realistic

0448788King The work to be performed will establish a multi-processor computing cluster to (i) facilitate computational study of cell adhesion under flow and (ii) introduce a bioinformatics practicum into an existing undergraduate numerical methods course in biomedical engineering. The work is based on a rigorous numerical simulation that successfully models the adhesion of cells to surfaces or other cells in a general flow field by fusing stochastic receptor binding with a deterministic boundary elements flow calculation. This prior simulation approach will now be extended to model events in realistic pathological geometries such as arterial bifurcations and stenosed vessels. By focusing on the interplay between fluid mechanics and receptor-ligand adhesive recognition, predictive models of monocyte accumulation in atherosclerosis and platelet deposition in acute thrombosis will be developed. Predictions will then be tested by performing cell adhesion experiments in novel flow chambers that emulate pathological geometries. The success of this project will elucidate the basic physical mechanisms of blood cell adhesion in cardiovascular disease, while developing computational models that can ultimately be used to aid diagnosis and evaluate new molecular and surgical therapies. The proposed multi-processor computing cluster will enhance the computational infrastructure. The undergraduate bioinformatics practicum that also shares this cluster with the research activities will address a lack of bioinformatics training in biomedical engineering programs nationwide by developing a new pedagogical approach and then disseminating assessments. Members of the Functional Genomics Center and the Department of Computer Science at the University of Rochester will give guest lectures to expose students to current research in the field. Additionally, pre-college students from the Career Internship Program of the Pittsford Central School District (Pittsford, NY) will actively participate in the analysis of cell adhesion experiments.

[04:48 . 788]这项工作将建立一个多处理器计算集群，以(i)促进流动下细胞粘附的计算研究，（ii）在现有的生物医学工程本科数值方法课程中引入生物信息学实习。这项工作是基于严格的数值模拟，通过融合随机受体结合和确定性边界元素流动计算，成功地模拟了一般流场中细胞与表面或其他细胞的粘附。这种先前的模拟方法现在将扩展到模拟现实病理几何事件，如动脉分叉和血管狭窄。通过关注流体力学和受体-配体粘附识别之间的相互作用，将开发动脉粥样硬化中单核细胞积聚和急性血栓形成中血小板沉积的预测模型。然后将通过在模拟病理几何形状的新型流动室中进行细胞粘附实验来测试预测。该项目的成功将阐明心血管疾病中血细胞粘附的基本物理机制，同时开发计算模型，最终可用于帮助诊断和评估新的分子和手术治疗。提出的多处理器计算集群将增强计算基础设施。本科生物信息学实习也与研究活动共享这一集群，将通过开发新的教学方法和传播评估来解决全国生物医学工程项目中缺乏生物信息学培训的问题。罗彻斯特大学功能基因组学中心和计算机科学系的成员将做客座讲座，让学生了解该领域的最新研究。此外，来自匹兹堡中心学区（pittsburgh， NY）职业实习计划的大学预科学生将积极参与细胞粘附实验的分析。