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Mapping Protein Conformational Landscapes under Strongly Native Conditions with Hydrogen Exchange Mass Spectrometry

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Department of Chemistry, Amherst College, P.O. Box 5000, Amherst, Massachusetts 01002, United States
Department of Molecular Biophysics and Biochemistry, Yale University, P.O. Box 208114, New Haven, Connecticut 06520-81114, United States
Cite this: J. Phys. Chem. B 2015, 119, 31, 10016–10024
Publication Date (Web):July 6, 2015
https://doi.org/10.1021/acs.jpcb.5b04528
Copyright © 2015 American Chemical Society

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    Abstract

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    The thermodynamic stability and kinetic barriers separating protein conformations under native conditions are critical for proper protein function and for understanding dysfunction in diseases of protein conformation. Traditional methods to probe protein unfolding and folding employ denaturants and highly non-native conditions, which may destabilize intermediate species or cause irreversible aggregation, especially at the high protein concentrations typically required. Hydrogen exchange (HX) is ideal for detecting conformational behavior under native conditions without the need for denaturants, but detection by NMR is limited to small highly soluble proteins. Mass spectrometry (MS) can, in principle, greatly extend the applicability of native-state HX to larger proteins and lower concentrations. However, quantitative analysis of HXMS profiles is currently limited by experimental and theoretical challenges. Here we address both limitations, by proposing an approach based on using standards to eliminate the systematic experimental artifacts in HXMS profiles, and developing the theoretical framework to describe HX behavior across all regimes based on the Linderstrøm–Lang formalism. We demonstrate proof of principle by a practical application to native-state HX of a globular protein. The framework and the practical tools developed advance the ability of HXMS to extract thermodynamic and kinetic conformational parameters of proteins under native conditions.

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    Additional mathematical details. The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.jpcb.5b04528.

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    Cited By

    This article is cited by 7 publications.

    1. Didier Devaurs, Dinler A. Antunes, Antoni J. Borysik. Computational Modeling of Molecular Structures Guided by Hydrogen-Exchange Data. Journal of the American Society for Mass Spectrometry 2022, 33 (2) , 215-237. https://doi.org/10.1021/jasms.1c00328
    2. Nilesh Aghera and Jayant B. Udgaonkar . Stepwise Assembly of β-Sheet Structure during the Folding of an SH3 Domain Revealed by a Pulsed Hydrogen Exchange Mass Spectrometry Study. Biochemistry 2017, 56 (29) , 3754-3769. https://doi.org/10.1021/acs.biochem.7b00374
    3. Gurpur Rakesh D. Prabhu, Evan R. Williams, Matthias Wilm, Pawel L. Urban. Mass spectrometry using electrospray ionization. Nature Reviews Methods Primers 2023, 3 (1) https://doi.org/10.1038/s43586-023-00203-4
    4. Sheila S. Jaswal. Lessons from a quarter century of being human in protein science. Protein Science 2022, 31 (4) , 768-783. https://doi.org/10.1002/pro.4278
    5. Chetana Baliga, Benjamin Selmke, Irina Worobiew, Peter Borbat, Siddhartha P. Sarma, Wolfgang E. Trommer, Raghavan Varadarajan, Nilesh Aghera. CcdB at pH 4 Forms a Partially Unfolded State with a Dry Core. Biophysical Journal 2019, 116 (5) , 807-817. https://doi.org/10.1016/j.bpj.2019.01.026
    6. Miao Qu, Bo An, Shichen Shen, Ming Zhang, Xiaomeng Shen, Xiaotao Duan, Joseph P. Balthasar, Jun Qu. Qualitative and quantitative characterization of protein biotherapeutics with liquid chromatography mass spectrometry. Mass Spectrometry Reviews 2017, 36 (6) , 734-754. https://doi.org/10.1002/mas.21500
    7. Kerene A. Brown, Derek J. Wilson. Bottom-up hydrogen deuterium exchange mass spectrometry: data analysis and interpretation. The Analyst 2017, 142 (16) , 2874-2886. https://doi.org/10.1039/C7AN00662D

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