4.8 Article

Quantifying Protein-Protein Interactions Within Noncovalent Complexes Using Electrospray Ionization Mass Spectrometry

Journal

ANALYTICAL CHEMISTRY
Volume 83, Issue 24, Pages 9251-9259

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac201576e

Keywords

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Funding

  1. Swiss National Science Foundation [200020-111831/1]

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Several electrospray-mass spectrometry (ESI-MS)-based methods are available for determining the constant of association (K-a) between a protein and a small ligand, but current MS-based strategies are not fully adequate for measuring K-a of protein-protein interactions accurately. We expanded the application of ESI-MS-based titration to determine the strength of noncovalent interactions between proteins, forming a complex. Taking into account relative response factors (probability of being ionized, transmitted, and detected), we determined K-a values of an equilibrium between dimers and tetramers at three different pH values (6.8, 3.4, and 8.4). We investigated the association of the lectin concanavalin A, whose dimer-tetramer ratio in the gas phase is affected by solution concentration and by pH. To calculate the constants of association in solution, we also utilized isothermal titration calorimetry (ITC) for a comparison with MS-based titration. At pH 6.8 and pH 8.4, the K-a values measured by MS and by ITC were in agreement. ITC results allowed us to restrain the response factor to a value close to 4. At pH 3.4, we were able to measure the K-a only by MS, but not by ITC because of limited sensitivity of calorimetry. Our investigation illustrates the great potential MS for calculating the binding strength of protein-protein interactions within noncovalent complexes. The main advantages of MS over ITC are its sensitivity (i.e., the required amount of sample is >100 times less than the one necessary for ITC), and the possibility to obtain precise information on composition of protein complexes, their stoichiometry, their subunit interactions, and their assembly pathway. Compared to previous investigations, our study shows the strong influence of response factors on determining accurate protein-protein association constants by MS.

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