CIUSuite 3: Next-Generation CCS Calibration and Automated Data Analysis Tools for Gas-Phase Protein Unfolding Data.

IF 3.1 2区 化学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of the American Society for Mass Spectrometry Pub Date : 2024-08-07 Epub Date: 2024-07-05 DOI:10.1021/jasms.4c00176
Chae Kyung Jeon, Carolina Rojas Ramirez, Devin M Makey, Ruwan T Kurulugama, Brandon T Ruotolo
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Abstract

Ion mobility-mass spectrometry (IM-MS) has become a technology deployed across a wide range of structural biology applications despite the challenges in characterizing closely related protein structures. Collision-induced unfolding (CIU) has emerged as a valuable technique for distinguishing closely related, iso-cross-sectional protein and protein complex ions through their distinct unfolding pathways in the gas phase. With the speed and sensitivity of CIU analyses, there has been a rapid growth of CIU-based assays, especially regarding biomolecular targets that remain challenging to assess and characterize with other structural biology tools. With information-rich CIU data, many software tools have been developed to automate laborious data analysis. However, with the recent development of new IM-MS technologies, such as cyclic IM-MS, CIU continues to evolve, necessitating improved data analysis tools to keep pace with new technologies and facilitating the automation of various data processing tasks. Here, we present CIUSuite 3, a software package that contains updated algorithms that support various IM-MS platforms and supports the automation of various data analysis tasks such as peak detection, multidimensional classification, and collision cross section (CCS) calibration. CIUSuite 3 uses local maxima searches along with peak width and prominence filters to detect peaks to automate CIU data extraction. To support both the primary CIU (CIU1) and secondary CIU (CIU2) experiments enabled by cyclic IM-MS, two-dimensional data preprocessing is deployed, which allows multidimensional classification. Our data suggest that additional dimensions in classification improve the overall accuracy of class assignments. CIUSuite 3 also supports CCS calibration for both traveling wave and drift tube IM-MS, and we demonstrate the accuracy of a new single-field CCS calibration method designed for drift tube IM-MS leveraging calibrant CIU data. Overall, CIUSuite 3 is positioned to support current and next-generation IM-MS and CIU assay development deployed in an automated format.

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CIUSuite 3:用于气相蛋白质展开数据的新一代 CCS 校准和自动数据分析工具。
离子迁移质谱(IM-MS)已成为广泛应用于结构生物学的一项技术,尽管在表征密切相关的蛋白质结构方面存在挑战。碰撞诱导解折(CIU)是一种宝贵的技术,可通过气相中不同的解折途径区分密切相关的等截面蛋白质和蛋白质复合物离子。由于 CIU 分析速度快、灵敏度高,基于 CIU 的检测技术发展迅速,尤其是针对那些仍难以用其他结构生物学工具进行评估和表征的生物分子目标。由于 CIU 数据信息丰富,人们开发了许多软件工具来自动进行费力的数据分析。然而,随着循环 IM-MS 等新型 IM-MS 技术的发展,CIU 仍在不断发展,因此需要改进数据分析工具,以跟上新技术的步伐,并促进各种数据处理任务的自动化。我们在此介绍 CIUSuite 3,该软件包包含支持各种 IM-MS 平台的最新算法,并支持峰值检测、多维分类和碰撞截面 (CCS) 校准等各种数据分析任务的自动化。CIUSuite 3 使用局部最大值搜索以及峰宽和突出滤波器来检测峰值,从而自动提取 CIU 数据。为了支持由循环 IM-MS 实现的一级 CIU(CIU1)和二级 CIU(CIU2)实验,部署了二维数据预处理,从而实现了多维分类。我们的数据表明,分类中的额外维度提高了类别分配的整体准确性。CIUSuite 3 还支持行波和漂移管 IM-MS 的 CCS 校准,我们展示了利用校准 CIU 数据为漂移管 IM-MS 设计的新型单场 CCS 校准方法的准确性。总之,CIUSuite 3 的定位是支持当前和下一代 IM-MS 和 CIU 分析开发的自动化部署。
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
257
审稿时长
1 months
期刊介绍: The Journal of the American Society for Mass Spectrometry presents research papers covering all aspects of mass spectrometry, incorporating coverage of fields of scientific inquiry in which mass spectrometry can play a role. Comprehensive in scope, the journal publishes papers on both fundamentals and applications of mass spectrometry. Fundamental subjects include instrumentation principles, design, and demonstration, structures and chemical properties of gas-phase ions, studies of thermodynamic properties, ion spectroscopy, chemical kinetics, mechanisms of ionization, theories of ion fragmentation, cluster ions, and potential energy surfaces. In addition to full papers, the journal offers Communications, Application Notes, and Accounts and Perspectives
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