Fast photochemical oxidation of proteins (FPOP) footprinting is a structural mass spectrometry method that maps proteins by fast and irreversible chemical reactions. The position of oxidative modification reflects solvent accessibility and site reactivity and thus provides information about protein conformation, structural dynamics, and interactions. Bottom-up mass spectrometry is an established standard method to analyze FPOP samples. In the bottom-up approach, all forms of the protein are digested together by a protease of choice, which results in a mixture of peptides from various subpopulations of proteins with varying degrees of photochemical oxidation. Here, we investigate the possibility to analyze a specifically selected population of only singly oxidized proteins. This requires utilization of more specific top-down mass spectrometry approaches. The key element of any top-down experiment is the selection of a suitable method of ion isolation, excitation, and fragmentation. Here, we employ and compare collision-induced dissociation, electron-transfer dissociation, and electron-capture dissociation combined with multi-continuous accumulation of selected ions. A singly oxidized subpopulation of FPOP-labeled ubiquitin was used to optimize the method. The top-down approach in FPOP is limited to smaller proteins, but its usefulness was demonstrated by using it to visualize structural changes induced by co-factor removal from the holo/apo myoglobin system. The top-down data were compared with the literature and with the bottom-up data set obtained on the same samples. The top-down results were found to be in good agreement, which indicates that monitoring a singly oxidized FPOP ion population by the top-down approach is a functional workflow for oxidative protein footprinting.
Top-Down Detection of Oxidative Protein Footprinting by Collision-Induced Dissociation, Electron-Transfer Dissociation, and Electron-Capture Dissociation.
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作者:Yassaghi Ghazaleh, KukaÄka ZdenÄk, Fiala Jan, Kavan Daniel, Halada Petr, Volný Michael, Novák Petr
| 期刊: | Analytical Chemistry | 影响因子: | 6.700 |
| 时间: | 2022 | 起止号: | 2022 Jul 19; 94(28):9993-10002 |
| doi: | 10.1021/acs.analchem.1c05476 | ||
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