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1.
Int J Mol Sci ; 25(13)2024 Jul 08.
Article in English | MEDLINE | ID: mdl-39000590

ABSTRACT

Protein cysteine S-glycosylation is a relatively rare and less well characterized post-translational modification (PTM). Creating reliable model proteins that carry this modification is challenging. The lack of available models or natural S-glycosylated proteins significantly hampers the development of mass-spectrometry-based (MS-based) methodologies for detecting protein cysteine S-glycosylation in real-world proteomic studies. There is also limited MS-sequencing data describing it as easier to create synthetic S-glycopeptides. Here, we present the results of an in-depth manual analysis of automatically annotated CID/HCD spectra for model S-glucopeptides. The CID spectra show a long series of y/b-fragment ions with retained S-glucosylation, regardless of the dominant m/z signals corresponding to neutral loss of 1,2-anhydroglucose from the precursor ions. In addition, the spectra show signals manifesting glucosyl transfer from the cysteine position onto lysine, arginine (Lys, Arg) side chains, and a peptide N-terminus. Other spectral evidence indicates that the N-glucosylated initial products of transfer are converted into N-fructosylated (i.e., glycated) structures due to Amadori rearrangement. We discuss the peculiar transfer of the glucose oxocarbenium ion (Glc+) to positively charged guanidinium residue (ArgH+) and propose a mechanism for the gas-phase Amadori rearrangement involving a 1,2-hydride ion shift.


Subject(s)
Cysteine , Glycosylation , Cysteine/chemistry , Cysteine/metabolism , Protein Processing, Post-Translational , Glycopeptides/chemistry , Glycopeptides/metabolism , Peptides/chemistry , Peptides/metabolism , Gases/metabolism , Gases/chemistry , Glucose/metabolism , Glucose/chemistry , Proteomics/methods , Tandem Mass Spectrometry/methods
2.
Amino Acids ; 55(1): 61-74, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36460841

ABSTRACT

Some glycoproteins contain carbohydrates S-linked to cysteine (Cys) residues. However, relatively few S-glycosylated proteins have been detected, due to the lack of an effective research methodology. This work outlines a general concept for the detection of S-glycosylation sites in proteins. The approach was verified by exploratory experiments on a model mixture of ß-S-glucosylated polypeptides obtained by the chemical transformation of lysozyme P00698. The model underwent two processes: (1) oxidative hydrolysis of S-glycosidic bonds under alkaline conditions to expose the thiol group of Cys residues; (2) thiol S-alkylation leading to thiol S-adduct formation at the former S-glycosylation sites. Oxidative hydrolysis was conducted in aqueous urea, dimethyl sulfoxide, or trifluoroethanol, with silver nitrate as the reaction promoter, in the presence of triethylamine and/or pyridine. The concurrent formation of stable protein silver thiolates, gluconic acid, and silver nanoclusters was observed. The essential de-metalation of protein silver thiolates using dithiothreitol preceded the S-labeling of Cys residues with 4-vinyl pyridine or a fluorescent reagent. The S-labeled model was sequenced by tandem mass spectrometry to obtain data on the modifications and their distribution over the protein chains. This enabled the efficiency of both S-glycosidic bonds hydrolysis and S-glycosylation site labeling to be evaluated. Suggestions are also given for testing this novel strategy on real proteomic samples.


Subject(s)
Cysteine , Protein S , Glycosylation , Cysteine/chemistry , Protein S/metabolism , Glycosides , Hydrolysis , Proteomics/methods , Proteins/chemistry , Oxidative Stress
3.
Amino Acids ; 51(9): 1365-1375, 2019 Sep.
Article in English | MEDLINE | ID: mdl-31471744

ABSTRACT

The regulatory role of protein cysteine phosphorylation is an under-researched area. The difficulty of accessing reference S-phosphorylated peptides (pCys-peptides) hampers progress in MS-driven cysteine phosphoproteomics, which requires targeted analytical procedures. This work describes an uncomplicated process for the conversion of disulfide-bridged protein into a complex model mixture of combinatorially modified peptides. Hen egg-white lysozyme was reduced with tris(2-carboxyethyl)phosphine (TCEP) followed by alkylation of cysteine with (3-acrylamidopropyl)trimethyl-ammonium chloride (APTA) and subsequent beta-elimination in aqueous Ba(OH)2 to yield modified polypeptides containing multiple dehydroalanine (Dha) residues. The conjugate addition of thiophosphoric acid to Dha residues followed by trypsinolysis led to numerous D/L phosphocysteine-containing peptides, which were identified by higher-energy collisional-dissociation tandem mass spectrometry (HCD-MS/MS). Our results show that some pCys-peptides produce prominent neutral losses of 80 Da, 98 Da and a weak 116 Da loss. These are similar to the neutral-loss triplets generated by phosphohistidine peptides.


Subject(s)
Cysteine/chemistry , Phosphopeptides/standards , Proteomics/methods , Tandem Mass Spectrometry/standards , Alkylation , Disulfides/chemistry , Muramidase/chemistry , Peptides/chemical synthesis , Peptides/chemistry , Phosphopeptides/chemistry , Proteins/chemistry , Tandem Mass Spectrometry/methods
4.
Proteomics ; 3(10): 1863-73, 2003 Oct.
Article in English | MEDLINE | ID: mdl-14625848

ABSTRACT

Large-scale proteomics will play a critical role in the rapid display, identification and validation of new protein targets, and elucidation of the underlying molecular events that are associated with disease development, progression and severity. However, because the proteome of most organisms are significantly more complex than the genome, the comprehensive analysis of protein expression changes will require an analytical effort beyond the capacity of standard laboratory equipment. We describe the first high-throughput proteomic analysis of human breast infiltrating ductal carcinoma (IDCA) using OCT (optimal cutting temperature) embedded biopsies, two-dimensional difference gel electrophoresis (2-D DIGE) technology and a fully automated spot handling workstation. Total proteins from four breast IDCAs (Stage I, IIA, IIB and IIIA) were individually compared to protein from non-neoplastic tissue obtained from a female donor with no personal or family history of breast cancer. We detected differences in protein abundance that ranged from 14.8% in stage I IDCA versus normal, to 30.6% in stage IIB IDCA versus normal. A total of 524 proteins that showed > or = three-fold difference in abundance between IDCA and normal tissue were picked, processed and identified by mass spectrometry. Out of the proteins picked, approximately 80% were unambiguously assigned identities by matrix-assisted laser desorbtion/ionization-time of flight mass spectrometry or liquid chromatography-tandem mass spectrometry in the first pass. Bioinformatics tools were also used to mine databases to determine if the identified proteins are involved in important pathways and/or interact with other proteins. Gelsolin, vinculin, lumican, alpha-1-antitrypsin, heat shock protein-60, cytokeratin-18, transferrin, enolase-1 and beta-actin, showed differential abundance between IDCA and normal tissue, but the trend was not consistent in all samples. Out of the proteins with database hits, only heat shock protein-70 (more abundant) and peroxiredoxin-2 (less abundant) displayed the same trend in all the IDCAs examined. This preliminary study demonstrates quantitative and qualitative differences in protein abundance between breast IDCAs and reveals 2-D DIGE portraits that may be a reflection of the histological and pathological status of breast IDCA.


Subject(s)
Breast Neoplasms/metabolism , Carcinoma, Ductal, Breast/metabolism , Proteome/analysis , Proteomics , Adult , Aged , Apolipoproteins/analysis , Breast Neoplasms/pathology , Carcinoma, Ductal, Breast/pathology , Computational Biology , Databases, Protein , Down-Regulation , Electrophoresis, Gel, Two-Dimensional/methods , Female , HSP70 Heat-Shock Proteins/analysis , Humans , Isoelectric Point , Middle Aged , Molecular Weight , Neoplasm Staging , Peroxidases/analysis , Peroxiredoxins , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization , Up-Regulation , alpha 1-Antitrypsin/analysis
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