Combination of Capillary Zone Electrophoresis-Mass Spectrometry, Ion Mobility-Mass Spectrometry, and Theoretical Calculations for Cysteine Connectivity Identification in Peptides Bearing Two Intramolecular Disulfide Bonds.
Cédric DelvauxPhilippe MassonnetChristopher KuneJean R N HalerGregory UpertGilles MourierNicolas GillesLoïc QuintonEdwin De PauwJohann FarPublished in: Analytical chemistry (2020)
Disulfide bonds between cysteine residues are commonly involved in the stability of numerous peptides and proteins and are crucial for providing biological activities. In such peptides, the appropriate cysteine connectivity ensures the proper conformation allowing an efficient binding to their molecular targets. Disulfide bond connectivity characterization is still challenging and is a critical issue in the analysis of structured peptides/proteins targeting pharmaceutical or pharmacological utilizations. This study describes the development of new and fast gas-phase and in-solution electrophoretic methods coupled to mass spectrometry to characterize the cysteine connectivity of disulfide bonds. For this purpose, disulfide isomers of three peptides bearing two intramolecular disulfide bonds but different cysteine connectivity have been investigated. Capillary zone electrophoresis and ion mobility both coupled to mass spectrometry were used to perform the separation in both aqueous and gas phases, respectively. The separation efficiency of each technique has been critically evaluated and compared. Finally, theoretical calculations were performed to support and explain the experimental data based on the predicted physicochemical properties of the different peptides.
Keyphrases
- mass spectrometry
- liquid chromatography
- resting state
- white matter
- functional connectivity
- fluorescent probe
- amino acid
- capillary electrophoresis
- living cells
- gas chromatography
- high resolution
- high performance liquid chromatography
- electronic health record
- quantum dots
- energy transfer
- deep learning
- bioinformatics analysis
- monte carlo