Mass Spectrometric and Bio-Computational Binding Strength Analysis of Multiply Charged RNAse S Gas-Phase Complexes Obtained by Electrospray Ionization from Varying In-Solution Equilibrium Conditions
Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal o f Molecular Sciences
Abstract
We investigated the influence of a solvent’s composition on the stability of desorbed and
multiply charged RNAse S ions by analyzing the non-covalent complex’s gas-phase dissociation processes.
RNAse S was dissolved in electrospray ionization-compatible buffers with either increasing
organic co-solvent content or different pHs. The direct transition of all the ions and the evaporation
of the solvent from all the in-solution components of RNAse S under the respective in-solution
conditions by electrospray ionization was followed by a collision-induced dissociation of the surviving
non-covalent RNAse S complex ions. Both types of changes of solvent conditions yielded in
mass spectrometrically observable differences of the in-solution complexation equilibria. Through
quantitative analysis of the dissociation products, i.e., from normalized ion abundances of RNAse
S, S-protein, and S-peptide, the apparent kinetic and apparent thermodynamic gas-phase complex
properties were deduced. From the experimental data, it is concluded that the stability of RNAse S in
the gas phase is independent of its in-solution equilibrium but is sensitive to the complexes’ gas-phase
charge states. Bio-computational in-silico studies showed that after desolvation and ionization by
electrospray, the remaining binding forces kept the S-peptide and S-protein together in the gas phase
predominantly by polar interactions, which indirectly stabilized the in-bulk solution predominating
non-polar intermolecular interactions. As polar interactions are sensitive to in-solution protonation,
bio-computational results provide an explanation of quantitative experimental data with single
amino acid residue resolution.
Description
Research Article
Keywords
ESI-MS, desolvation process, ITEM-TWO, bio-computation, in-silico modeling, RNAse S, non-covalent complex, binding strength