CAREER: Multiparticle Cell Deposition in Realistic Geometries

0448788 King要执行的工作将建立一个多处理器计算集群，以（i）促进流动下的细胞粘附的计算研究和（ii）引入生物信息学实习到现有的本科生生物医学工程的数值方法课程。这项工作是基于一个严格的数值模拟，成功地模拟细胞的粘附表面或其他细胞在一般的流场融合随机受体结合与确定性的边界元流计算。这种先前的模拟方法现在将被扩展到模拟现实病理几何形状中的事件，例如动脉分叉和狭窄血管。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，同时开发最终可用于辅助诊断和评估新的分子和外科治疗的计算模型。拟议的多处理器计算集群将增强计算基础设施。本科生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。罗切斯特大学功能基因组学中心和计算机科学系的成员将进行客座讲座，让学生了解该领域的最新研究。此外，来自皮茨福德中央学区（皮茨福德，纽约）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。

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.