Development of Biodiagnostic Devices Based on Differential Adhesion Under Flow

该项目的目的是开发和量化采用差异细胞粘附分离细胞的方法，主要目标是根据其表面受体的化学性质识别细胞亚群。 使用三种不同的表面（聚丙烯酰胺凝胶，烷硫醇，或玻璃载玻片），微图案化的配体阵列将。 阵列器将用于制作微图案化表面。 表面将用抗原或抗生物素蛋白衍生化，这将允许表面捕获携带抗体（RBL细胞）或生物素（KG1a细胞）的细胞。 将通过光学视频显微镜测量粘附，并且将测量结合的产率和选择性以及细胞粘附的速率常数作为细胞表面分子密度、底物配体密度、识别动力学和亲和力、剪切速率和微图案几何形状的函数。 这两个模型系统（评估基本关系）和系统的实际利益（分离的干细胞系）将进行探讨。 这些实验将使用具有潜力的模拟算法进行建模。

The objective of this project is to develop and quantify methods that employ differential cell adhesion to isolate cells, with the primary goal being to identify cell subpopulations based on the chemistry of their surface receptor. Using three different surfaces (polyacrylamide gels, alkanethiols, or glass slides), micropatterned arrays of ligands will be made. An arrayer will be used to make micropatterned surfaces. The surfaces will be derivatized with antigens or avidin, which will allow the surface to capture cells bearing antibodies (RBL cells) or Biotin (KG1a cells). The adhesion will be measured by optical videomicroscopy, and the yield and selectivity of the binding, as well as the rate constant of cell adhesion, will be measured as a function of cell surface molecular density, substrate ligand density, recognition kinetics and affinity, shear rate, and micropattern geometry. Both model systems (to assess fundamental relationships) and a system of practical interest (the isolation of a stem cell line) will be explored. These experiments will be modeled using a simulation algorithm that has the potential.