University of Michigan Department of Chemistry, Ann Arbor, Michigan 48109, United States.
Anal Chem. 2015 Nov 17;87(22):11516-22. doi: 10.1021/acs.analchem.5b03292. Epub 2015 Oct 30.
Ion mobility-mass spectrometry (IM-MS) is a technology of growing importance for structural biology, providing complementary 3D structure information for biomolecules within samples that are difficult to analyze using conventional analytical tools through the near-simultaneous acquisition of ion collision cross sections (CCSs) and masses. Despite recent advances in IM-MS instrumentation, the resolution of closely related protein conformations remains challenging. Collision induced unfolding (CIU) has been demonstrated as a useful tool for resolving isocrossectional protein ions, as they often follow distinct unfolding pathways when subjected to collisional heating in the gas phase. CIU has been used for a variety of applications, from differentiating binding modes of activation state-selective kinase inhibitors to characterizing the domain structure of multidomain proteins. With the growing utilization of CIU as a tool for structural biology, significant challenges have emerged in data analysis and interpretation, specifically the normalization and comparison of CIU data sets. Here, we present CIUSuite, a suite of software modules designed for the rapid processing, analysis, comparison, and classification of CIU data. We demonstrate these tools as part of a series of workflows for applications in comparative structural biology, biotherapeutic analysis, and high throughput screening of kinase inhibitors. These examples illustrate both the potential for CIU in general protein analysis as well as a demonstration of best practices in the interpretation of CIU data.
离子淌度-质谱联用技术(IM-MS)在结构生物学中具有越来越重要的地位,它通过同时获取离子碰撞截面(CCS)和质量,为难以用传统分析工具分析的样本中的生物分子提供了互补的 3D 结构信息。尽管 IM-MS 仪器在最近取得了进展,但解析密切相关的蛋白质构象仍然具有挑战性。碰撞诱导解折叠(CIU)已被证明是一种有用的工具,可以解析等截面的蛋白质离子,因为当它们在气相中受到碰撞加热时,它们通常会遵循不同的展开途径。CIU 已被用于各种应用,从区分激活状态选择性激酶抑制剂的结合模式到表征多结构域蛋白质的结构域结构。随着 CIU 作为结构生物学工具的广泛应用,数据分析和解释方面出现了重大挑战,特别是 CIU 数据集的归一化和比较。在这里,我们提出了 CIUSuite,这是一套软件模块,旨在快速处理、分析、比较和分类 CIU 数据。我们将这些工具作为一系列比较结构生物学、生物治疗分析和激酶抑制剂高通量筛选应用的工作流程的一部分进行演示。这些示例说明了 CIU 在一般蛋白质分析中的潜力,以及在解释 CIU 数据方面的最佳实践的演示。