Amino acid-tagging strategies are widespread in proteomics. Because of the central role of mass spectrometry (MS) as a detection technique in protein sciences, the term "mass tagging" was coined to describe the attachment of a label, which serves MS analysis and/or adds analytical value to the measurements. These so-called mass tags can be used for separation, enrichment, detection, and quantitation of peptides and proteins. In this context, cysteine is a frequent target for modifications because the thiol function can react specifically by nucleophilic substitution or addition. Furthermore, cysteines present natural modifications of biological importance and a low occurrence in the proteome that justify the development of strategies to specifically target them in peptides or proteins. In the present review, the mass-tagging methods directed to cysteine residues are comprehensively discussed, and the advantages and drawbacks of these strategies are addressed. Some concrete applications are given to underline the relevance of cysteine-tagging techniques for MS-based proteomics.

No abstract

Highly complex and dynamic protein mixtures are hardly comprehensively resolved by direct shotgun proteomic analysis. As many proteins of biological interest are of low abundance, numerous analytical methodologies have been developed to reduce sample complexity and go deeper into proteomes. The present work describes an analytical strategy to perform cysteinyl-peptide subset enrichment and relative quantification through successive cysteine and amine-isobaric tagging. A cysteine-reactive covalent capture tag (C³T) allowed derivatization of cysteines and specific isolation on a covalent capture (CC) resin. The 6-plex amine-reactive tandem mass tags (TMT) served for relative quantification of the targeted peptides. The strategy was first evaluated on a model protein mixture with increasing concentrations to assess the specificity of the enrichment and the quantitative performances of the workflow. It was then applied to human cerebrospinal fluid (CSF) from post-mortem and ante-mortem samples. These studies confirmed the specificity of the C³T and the CC technique to cysteine-containing peptides. The model protein mixture analysis showed high precision and accuracy of the quantification with coefficients of variation and mean absolute errors of less than 10% on average. The CSF experiments demonstrated the potential of the strategy to study complex biological samples and identify differential brain-related proteins. In addition, the quantification data were highly correlated with a classical TMT experiment (i.e., without C³T cysteine-tagging and enrichment steps). Altogether, these results legitimate the use of this quantitative C³T strategy to enrich and relatively quantify cysteine-containing peptides in complex mixtures.

Considering the tremendous complexity and the wide dynamic range of protein samples from biological origin and their proteolytic peptide mixtures, proteomics largely requires simplification strategies. One common approach to reduce sample complexity is to target a particular amino acid in proteins or peptides, such as cysteine (Cys), with chemical tags in order to reduce the analysis to a subset of the whole proteome. The present work describes the synthesis and the use of two new cysteinyl tags, so-called cysteine-reactive covalent capture tags (C3T), for the isolation of Cys-containing peptides. These bifunctional molecules were specifically designed to react with cysteines through iodoacetyl and acryloyl moieties and permit efficient selection of the tagged peptides. To do so, a thioproline was chosen as the isolating group to form, after a deprotection/activation step, a thiazolidine with an aldehyde resin by the covalent capture (CC) method. The applicability of the enrichment strategy was demonstrated on small synthetic peptides as well as on peptides derived from digested proteins. Mass spectrometric (MS) analysis and tandem mass spectrometric (MS/MS) sequencing confirmed the efficient and straightforward selection of the cysteine-containing peptides. The combination of C3T and CC methods provides an effective alternative to reduce sample complexity and access low abundance proteins.

No abstract