LIPID DIFFRACTION ON SUBSTRATE SUPPORTED LIPID MEMBRANE SYSTEMS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 在这个项目中，我们探索了使用新开发的具有湿度和温度控制的样品室与BL4-2站的BLU-Ice数据采集软件相结合的可行性，以有效地在衬底支撑的脂类双层上进行入射几何形状的脂类衍射实验。这类样品的一维有序度很高，这很容易被X射线衍射所利用，并在过去被广泛利用来揭示流体脂膜和一些脂-蛋白体系的详细结构信息。这些测量中的膜水化是一个重要的实验参数，用来解决衍射数据的位相问题。利用最大可达Q范围的仪器配置，我们测量了几个已知电子密度分布的脂类样品的X射线衍射强度。在实验过程中，我们成功地建立了一种执行这种类型测量的协议，该协议将在未来用于脂质-蛋白质相互作用研究，并提供给用户。收集的数据集还将用于验证我们的数据简化和分析方法。

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. In this project we explore the feasibility of using the newly developed sample chamber with humidity and temperature control in combination with the Blu-Ice data collection software at the BL4-2 station, to efficiently perform lipid diffraction experiments in gracing incidence geometry on substrate supported lipid bilayers. The high degree of one-dimensional order in this kind of samples readily lends itself to x-ray diffraction and has been exploited extensively in the past to reveal detailed structural information on fluid lipid membranes and some lipid-protein systems. The membrane hydration in these measurements constitutes an important experimental parameter, which is used to solve the phasing problem of the diffraction data. Using the instrument configuration with the maximum accessible q-range we measured the x-ray diffraction intensity of several lipid samples with well known electron density profiles. In the course of the experiment we successfully established a protocol to perform this type of measurement, which will be used in the future for lipid-protein interaction studies, and made available to users. The collected data sets will also be used to validate our method of data reduction and analysis.