Abstract

Metal ions are critical for the biological and physiological functions of many proteins. Mass spectrometry (MS)-based structural proteomics is an ever-growing field that has been adopted to study protein and metal ion interactions. Native MS offers information on metal binding and its stoichiometry. Footprinting approaches coupled with MS, including hydrogen/deuterium exchange (HDX), “fast photochemical oxidation of proteins” (FPOP) and targeted amino-acid labeling, identify binding sites and regions undergoing conformational changes. MS-based titration methods, including “protein–ligand interactions by mass spectrometry, titration and HD exchange” (PLIMSTEX) and “ligand titration, fast photochemical oxidation of proteins and mass spectrometry” (LITPOMS), afford binding stoichiometry, binding affinity, and binding order. These MS-based structural proteomics approaches, their applications to answer questions regarding metal ion protein interactions, their limitations, and recent and potential improvements are discussed here. This review serves as a demonstration of the capabilities of these tools and as an introduction to wider applications to solve other questions.

Highlights

  • Metal ions are critical for the biological and physiological functions of many proteins

  • After completion the+32 labeling, the reagent-responsive ensure that the footprinting occurs faster than protein folding or unfolding, the lifetim primary reactive hydroxyl radicals is limited to ~1 μs depending on the scavenger’s id tity and concentration [18,21], even though the lifetimes of less reactive secondary radi solvent-accessible residues contain a mass tag corresponding to the labeling product

  • Motivated by previous findings [30,31] indicating that divalent metals are necessary for the segmented negative-sense RNA virus’ endonuclease activity, the authors investigated the interaction between the endonuclease domain of severe fever with thrombocytopenia syndrome virus (SFTSV) L-polymerase (SFTSV endonuclease) and metal ions [28]

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Summary

Introduction

Metal ions play an essential role in biological and physiological processes, including respiration, signal transduction, and transcription [1,2]. MS-based structural proteomics tools bridge the gap between low- and high-resolution structural characterization and offer binding affinity and stoichiometry. We discuss the principles of MS-based structural proteomics tools; we illustrate their capability to characterize metal–protein interactions by discussing examples principally from our own work and some from other groups. These applications have been organized according to the different questions, in which biochemists and biophysicists might be interested, and the corresponding MS tools that can be used to answer these questions. Limitations of and principles for choosing each technique are discussed

MS Tools for Structural Proteomics and Metal Ion Binding
Hydrogen/Deuterium Exchange MS (HDX-MS)
Fast Photochemical Oxidation of Proteins (FPOP)
Specific Amino-Acid
Native MS
Qualitative Studies and Stoichiometry Determination by MS-Based Methods
Determining Stoichiometry by Native MS
Mn2+ as Co-Factor for SFTSV Endonuclease
Iron Binding by Sidercalin
Ca2+ Binding to Centrin
IM-MS for Qualitative Studies of Ca2+ Binding to Calmodulin
Native Top-Down MS for Study of Metal Ions Binding to Aβ42
Titration Methods for Stoichiometry and Affinity
Identification of Metal Binding Site and Resulting Conformational Changes
HDX-MS
Ca2+ Binding to Calmodulin
Ca2+ Binding to DREAM
Ca2+ Binding to Human Centrin 2
Zinc Ion Binding to Hepatitis B Virus X
Interaction between Cu2+ and Aβ42
Interaction between Cu2+ and
Benzhydrazide Targeting Glu and Asp
DEPC Footprinting of Cu2+ and Zn2+ Binding Sites
Cross-Linking
Hydroxyl Radical Footprinting of Calmodulin
Determining Affinity and Binding Order by MS Titration Methods
Protein–Ligand Interactions in Solution by Mass Spectrometry, Titration and HDX
Protein–Ligand Interaction by Ligand Titration, Fast Photochemical Oxidation of Proteins and
LITPOMS ofof
Illustration of Integrated Methods
Titration
Findings
Conclusions and Outlook
Full Text
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