VIRTUAL FCS

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 研究中心，而研究中心不一定是研究者所在的机构。 荧光相关光谱（FCS）基于荧光颗粒在它们移动通过飞升观测体积时发射的光子的统计分析，提供关于分子的迁移率、浓度、分子复合物的组成、解离常数和反应动力学的定量信息。已建立的FCS理论预测光子到达时间的统计基于粒子的自由扩散，和粒子参与某些种类的反应。然而，明确的解决方案不存在更复杂的粒子系统中发现的活细胞，并涉及膜结构，细胞骨架，与多个合作伙伴的相互作用，和分子拥挤。为了解释从活细胞获得的FCS数据，将通过空间蒙特卡罗方法对体内环境进行建模。目前，我们正在开发软件，模拟单个粒子在反射反应体积内随机扩散。颗粒可以具有不同的扩散系数和荧光量子产率，并且可以参与不同的一级和二级反应。可以在反应体积内限定各种反射表面。观察体积被定义为空间亮度函数。 光子发射概率取决于粒子相对于观察体积中心的位置。仿真结果用于验证体内FCS数据的数据分析方法。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Fluorescence correlation spectroscopy (FCS) based on statistical analysis of photons emitted by fluorescent particles as they move through a femtoliter observation volume provides quantitative information about mobility of molecules, concentration, composition of molecular complexes, dissociation constants, and reaction kinetics. The established theory of FCS predicts the statistics of photon arrival times based on free diffusion of particles, and particles involved in certain kinds of reactions. However explicit solutions do not exist for more complex particle systems found in live cells and involving membrane structures, cytoskeleton, interactions with multiple partners, and molecular crowdedness. To interpret the FCS data obtained from live cells, the in vivo environment will be modeled by spatial Monte Carlo method. Currently we are developing software that models individual particles randomly diffusing inside a reflective reaction volume. Particles can have different diffusion coefficient and fluorescence quantum yield and can engage in different first and second order reactions. Various reflective surfaces can be defined inside the reaction volume. The observation volumes is defined as a spatial brightness function. Photon emission probability depends on particle position relative to the center of the observation volume. Simulation results are used to validate data analysis methods for in vivo FCS data.