LIPID DIFFRACTION ON SUBSTRATE SUPPORTED LIPID MEMBRANE SYSTEMS

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来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 在这个项目中，我们探讨了使用新开发的样品室与湿度和温度控制相结合的蓝冰数据收集软件在BL 4 -2站的可行性，有效地进行脂质衍射实验在衬底支持的脂质双层的掠入射几何形状。在这种样品中的高度的一维秩序很容易借给自己的X射线衍射，并已被广泛利用，在过去揭示流体脂质膜和一些脂质-蛋白质系统的详细结构信息。这些测量中的膜水合作用构成了一个重要的实验参数，它被用来解决衍射数据的相位问题。使用具有最大可达q范围的仪器配置，我们测量了具有众所周知的电子密度分布的几种脂质样品的X射线衍射强度。在实验过程中，我们成功地建立了一个协议来执行这种类型的测量，这将在未来用于脂质-蛋白质相互作用的研究，并提供给用户。收集的数据集也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.