Chalmers Michael J, Pascal Bruce D, Willis Scooter, Zhang Jun, Iturria Stephen J, Dodge Jeffery A, Griffin Patrick R
Department of Molecular Therapeutics, The Scripps Research Institute, Scripps Florida, 130 Scripps Way, Jupiter, Florida, 33458.
Int J Mass Spectrom. 2011 Apr 30;302(1-3):59-68. doi: 10.1016/j.ijms.2010.08.002.
Hydrogen/deuterium exchange (HDX) mass spectrometry has been widely applied to the characterization of protein dynamics. More recently, differential HDX has been shown to be effective for the characterization of ligand binding. Previously we have described a fully automated HDX system for use as a ligand screening platform. Here we describe and validate the required data analysis workflow to facilitate the use of HDX as a robust approach for ligand screening. Following acquisition of HDX data at a single on-exchange time point (n ≥ 3), one way analysis of variance in conjunction with the Tukey multiple comparison procedure is used to establish the significance of any measured difference. Analysis results are graphed with respect to a single peptide, ligand or group of ligands, or displayed as an overview within a heat map. For the heat map display, only Δ%D values with a Tukey-adjusted P value less than 0.05 are colored. Hierarchical clustering is used to bin compounds with highly similar HDX signatures. The workflow is evaluated with a small data set showing the ligand binding domain (LDB) of the nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) screened against 10 functionally selective ligands. More significantly, data for the vitamin D receptor (VDR) in complex with 87 ligands are presented. To highlight the robustness and precision of our automated HDX platform we analyzed the data from 4191 replicate HDX measurements acquired over an eight month timeframe. Ninety six percent of these measurements were within 10 percent of the mean value. Work has begun to integrate these analysis and graphing components within our HDX software suite.
氢/氘交换(HDX)质谱已广泛应用于蛋白质动力学的表征。最近,已证明差异HDX对于配体结合的表征是有效的。此前我们描述了一种全自动HDX系统用作配体筛选平台。在此我们描述并验证所需的数据分析工作流程,以促进将HDX用作配体筛选的可靠方法。在单个交换时间点(n≥3)获取HDX数据后,使用单因素方差分析结合Tukey多重比较程序来确定任何测量差异的显著性。分析结果针对单个肽、配体或一组配体进行绘图,或在热图中作为概述显示。对于热图显示,仅对Tukey调整后P值小于0.05的Δ%D值进行着色。层次聚类用于对具有高度相似HDX特征的化合物进行分类。使用一个小数据集对该工作流程进行评估,该数据集显示了针对10种功能选择性配体筛选的核受体过氧化物酶体增殖物激活受体γ(PPARγ)的配体结合域(LDB)。更重要的是,展示了与87种配体结合的维生素D受体(VDR)的数据。为了突出我们的自动化HDX平台的稳健性和精确性,我们分析了在八个月时间内获取的4191次重复HDX测量的数据。这些测量中有96%在平均值的10%以内。我们已经开始将这些分析和绘图组件集成到我们的HDX软件套件中。