Edman Degradation Reveals Unequivocal Analysis of the Disulfide Connectivity in Peptides and Proteins.
Yomnah Y ElsayedToni KühlDiana ImhofPublished in: Analytical chemistry (2024)
Disulfide bridges in peptides and proteins play an essential role in maintaining their conformation, structural integrity, and consequently function. Despite ongoing efforts, it is still not possible to detect disulfide bonds and the connectivity of multiply bridged peptides directly through a simple and sufficiently validated protein sequencing or peptide mapping method. Partial or complete reduction and chemical cysteine modification are required as initial steps, followed by the application of a proper detection method. Edman degradation (ED) has been used for primary sequence determination but is largely neglected since the establishment of mass spectrometry (MS)-based protein sequencing. Here, we evaluated and thoroughly characterized the phenyl thiohydantoin (PTH) cysteine derivatives PTH-S-methyl cysteine and PTH-S-carbamidomethyl cysteine as bioanalytical standards for cysteine detection and quantification as well as for the elucidation of the disulfide connectivity in peptides by ED. Validation of the established derivatives was performed according to the guidelines of the International Committee of Harmonization on bioanalytical method validation, and their analytical properties were confirmed as reference standards. A series of model peptides was sequenced to test the usability of the PTH-Cys-derivatives as standards, whereas the native disulfide-bonded peptides CCAP-vil, μ-conotoxin KIIIA, and human insulin were used as case studies to determine their disulfide bond connectivity completely independent of MS analysis.
Keyphrases
- amino acid
- mass spectrometry
- resting state
- white matter
- fluorescent probe
- functional connectivity
- emergency department
- living cells
- multiple sclerosis
- type diabetes
- ms ms
- high resolution
- single cell
- healthcare
- metabolic syndrome
- clinical practice
- social media
- molecular dynamics simulations
- electronic health record
- structure activity relationship
- quantum dots
- tandem mass spectrometry