AUTOMATED RCT/ORT DATA COLLECTION

自动 RCT/ORT 数据收集

• 批准号: 8362456
• 负责人: BRIDGET Olivia CARRAGHER
• 金额: $ 1.29万
• 依托单位: SCRIPPS RESEARCH INSTITUTE, THE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2012-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362456
• 关键词: Data; Data Collection; Electron Microscopy; Funding; Grant; Ice; Image; Imagery; Methods; Microscopy; Modeling; Molecular; National Center for Research Resources; Principal Investigator; Research; Research Infrastructure; Resources; Sampling; Source; Staining method; Stains; United States National Institutes of Health; cost; insight; macromolecular assembly; particle; reconstitution; three dimensional structure

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Structural visualization using electron microscopy has provided many insights into the composition, arrangement and mechanism of macromolecular assemblies. By preserving samples in stain or vitreous ice it is possible to image them as discrete particles, and from these images generate three-dimensional structures. This 'single-particle' approach suffers from two major shortcomings; it requires an initial model to reconstitute 2D data into a 3D volume, and it often fails when faced with conformational variability. Random conical tilt (RCT) and orthogonal tilt (OTR) are methods developed to overcome these problems, but the data collection required, particularly in ice, is difficult and tedious.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 使用电子显微镜的结构可视化提供了许多见解， 大分子组装体的组成、排列和机理。 通过保留 在染色剂或玻璃冰中的样品，可以将它们成像为离散颗粒，并且从 这些图像产生三维结构。 这种“单粒子”方法受到影响 它有两个主要缺点：它需要一个初始模型来将2D数据重建为3D数据。 体积，并且当面对构象可变性时，它经常失败。 随机锥形倾斜 (RCT)和正交倾斜（OTR）是为克服这些问题而开发的方法，但是 所需的数据收集，特别是在冰中，是困难和乏味的。