Abstract

One current goal in native mass spectrometry is the assignment of binding affinities to noncovalent complexes. Here we introduce a novel implementation of the existing laser-induced liquid bead ion desorption (LILBID) mass spectrometry method: this new method, LILBID laser dissociation curves, assesses binding strengths quantitatively. In all LILBID applications, aqueous sample droplets are irradiated by 3 µm laser pulses. Variation of the laser energy transferred to the droplet during desorption affects the degree of complex dissociation. In LILBID laser dissociation curves, laser energy transfer is purposely varied, and a binding affinity is calculated from the resulting complex dissociation. A series of dsDNAs with different binding affinities was assessed using LILBID laser dissociation curves. The binding affinity results from the LILBID laser dissociation curves strongly correlated with the melting temperatures from UV melting curves and with dissociation constants from isothermal titration calorimetry, standard solution phase methods. LILBID laser dissociation curve data also showed good reproducibility and successfully predicted the melting temperatures and dissociation constants of three DNA sequences. LILBID laser dissociation curves are a promising native mass spectrometry binding affinity method, with reduced time and sample consumption compared to melting curves or titrations.

Details

Title
LILBID laser dissociation curves: a mass spectrometry-based method for the quantitative assessment of dsDNA binding affinities
Author
Young, Phoebe 1 ; Hense Genia 1 ; Immer Carina 2 ; Wöhnert Jens 2 ; Morgner Nina 1 

 J.W. Goethe University, Institute of Physical and Theoretical Chemistry, Frankfurt am Main, Germany (GRID:grid.7839.5) (ISNI:0000 0004 1936 9721) 
 J.W. Goethe University, Institute for Molecular Biosciences, Frankfurt am Main, Germany (GRID:grid.7839.5) (ISNI:0000 0004 1936 9721); J.W. Goethe University, Center for Biomolecular Magnetic Resonance (BMRZ), Frankfurt am Main, Germany (GRID:grid.7839.5) (ISNI:0000 0004 1936 9721) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473250581
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.