Conformational µ-Conotoxin PIIIA Isomers Revisited: Impact of Cysteine Pairing on Disulfide-Bond Assignment and Structure Elucidation.

Peptides and proteins carrying high numbers of cysteines can adopt various 3D structures depending on their disulfide connectivities. The unambiguous verification of such conformational isomers with more than two disulfide bonds is extremely challenging, and experimental strategies for their unequivocal structural analysis are largely lacking. We synthesized all 15 possible isomers of the 22mer conopeptide µ-PIIIA and applied 2D NMR spectroscopy and MS/MS for the elucidation of its structure. This study provides intriguing insights in how the disulfide connectivity alters the global fold of a toxin. We also show that analysis procedures involving comprehensive combinations of conventional methods are required for the unambiguous assignment of disulfides in cysteine-rich peptides and proteins and that standard compounds are crucially needed for the structural analysis of such complex molecules.

Human myocardial protein pattern reveals cardiac diseases.

Proteomic profiles of myocardial tissue in two different etiologies of heart failure were investigated using high performance liquid chromatography (HPLC)/Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Right atrial appendages from 10 patients with hemodynamically significant isolated aortic valve disease and from 10 patients with isolated symptomatic coronary heart disease were collected during elective cardiac surgery. As presented in an earlier study by our group (Baykut et al., 2006), both disease forms showed clearly different pattern distribution characteristics. Interesting enough, the classification patterns could be used for correctly sorting unknown test samples in their correct categories. However, in order to fully exploit and also validate these findings there is a definite need for unambiguous identification of the differences between different etiologies at molecular level. In this study, samples representative for the aortic valve disease and coronary heart disease were prepared, tryptically digested, and analyzed using an FT-ICR MS that allowed collision-induced dissociation (CID) of selected classifier masses. By using the fragment spectra, proteins were identified by database searches. For comparison and further validation, classifier masses were also fragmented and analyzed using HPLC-/Matrix-assisted laser desorption ionization (MALDI) time-of-flight/time-of-flight (TOF/TOF) mass spectrometry. Desmin and lumican precursor were examples of proteins found in aortic samples at higher abundances than in coronary samples. Similarly, adenylate kinase isoenzyme was found in coronary samples at a higher abundance. The described methodology could also be feasible in search for specific biomarkers in plasma or serum for diagnostic purposes.