Tuttle Lisa M, James Ellie I, Georgescauld Florian, Wales Thomas E, Weis David D, Engen John R, Nath Abhinav, Klevit Rachel E, Guttman Miklos
Department of Biochemistry, University of Washington, Seattle, Washington 98195, United States.
Department of Medicinal Chemistry, University of Washington, Seattle, Washington 98195, United States.
J Am Soc Mass Spectrom. 2025 Feb 5;36(2):416-423. doi: 10.1021/jasms.4c00471. Epub 2025 Jan 21.
An inherent strength of hydrogen/deuterium exchange coupled to mass spectrometry (HDX-MS) is its ability to detect the presence of multiple conformational states of a protein, which often manifest as multimodal isotopic envelopes. However, the statistical considerations for accurate analysis of multimodal spectra have yet to be established. Here we outline an unrestrained binomial distribution fitting approach with the corresponding statistical tests to accurately detect and, when possible, deconvolute isotopic distributions that contain multiple subpopulations. The algorithms have been incorporated into an updated version of the freely available software, HX-Express, and validated using known mixtures of peptides deuterated to varying degrees. This approach presents a readily accessible tool to fit and interpret bimodal and trimodal behavior in HDX-MS data for mixed populations, EX1 kinetics, and pulse labeling data.
氢/氘交换结合质谱法(HDX-MS)的一个固有优势在于其能够检测蛋白质多种构象状态的存在,这些构象状态通常表现为多峰同位素包络。然而,准确分析多峰光谱的统计考量尚未确立。在此,我们概述了一种无约束二项分布拟合方法及相应的统计检验,以准确检测并在可能的情况下解卷积包含多个亚群的同位素分布。这些算法已被纳入免费软件HX-Express的更新版本中,并使用不同程度氘代的已知肽混合物进行了验证。这种方法提供了一个易于使用的工具,用于拟合和解释HDX-MS数据中混合群体、EX1动力学和脉冲标记数据的双峰和三峰行为。