Techniques for the analysis of cysteine sulfhydryls and oxidative protein folding

• Published in: Antioxidants & redox signaling Vol. 21; no. 3; p. 511
• Main Authors: Borges, Chad R, Sherma, Nisha D
• Format: Journal Article
• Language: English
• Published: United States 20.07.2014
• Subjects: Cysteine - analysis; Cysteine - chemistry; Disulfides - analysis; Disulfides - chemistry; Humans; Mass Spectrometry; Molecular Probes - chemistry; Oxidation-Reduction; Protein Conformation; Sulfhydryl Compounds - analysis; Sulfhydryl Compounds - chemistry; Sulfhydryl Reagents - chemistry
• ISSN: 1557-7716
• DOI: 10.1089/ars.2013.5559

Modification of cysteine thiols dramatically affects protein function and stability. Hence, the abilities to quantify specific protein sulfhydryl groups within complex biological samples and map disulfide bond structures are crucial to gaining greater insights into how proteins operate in human health and disease. Many different molecular probes are now commercially available to label and track cysteine residues at great sensitivity. Coupled with mass spectrometry, stable isotope-labeled sulfhydryl-specific reagents can provide previously unprecedented molecular insights into the dynamics of cysteine modification. Likewise, the combined application of modern mass spectrometers with improved sample preparation techniques and novel data mining algorithms is beginning to routinize the analysis of complex protein disulfide structures. Proper application of these modern tools and techniques, however, still requires fundamental understanding of sulfhydryl chemistry as well as the assumptions that accompany sample preparation and underlie effective data interpretation. The continued development of tools, technical approaches, and corresponding data processing algorithms will, undoubtedly, facilitate site-specific protein sulfhydryl quantification and disulfide structure analysis from within complex biological mixtures with ever-improving accuracy and sensitivity. Fully routinizing disulfide structure analysis will require an equal but balanced focus on sample preparation and corresponding mass spectral dataset reproducibility.