Discovering Mercury Protein Modifications in Whole Proteomes Using Natural Isotope Distributions Observed in Liquid Chromatography-Tandem Mass Spectrometry

• Published in: Molecular & cellular proteomics 2011-08, Vol.10 (8), p.M110.004853-M110.004853, Article M110.004853
• Main Authors: Polacco, Benjamin J., Purvine, Samuel O., Zink, Erika M., LaVoie, Stephen P., Lipton, Mary S., Summers, Anne O., Miller, Susan M.
• Format: Article
• Language: English
• Subjects: Algorithms; Amino Acid Sequence; Animals; Chromatography, Liquid; Escherichia coli; Escherichia coli Proteins - chemistry; Glyceraldehyde-3-Phosphate Dehydrogenases - chemistry; Isotope Labeling; Mercury Isotopes - chemistry; Molecular Sequence Data; Peptide Fragments - chemistry; Protein Processing, Post-Translational; Proteome - chemistry; Proteomics; Rabbits; Signal-To-Noise Ratio; Tandem Mass Spectrometry
• ISSN: 1535-9476; 1535-9484
• DOI: 10.1074/mcp.M110.004853

The identification of peptides that result from post-translational modifications is critical for understanding normal pathways of cellular regulation as well as identifying damage from, or exposures to xenobiotics, i.e. the exposome. However, because of their low abundance in proteomes, effective detection of modified peptides by mass spectrometry (MS) typically requires enrichment to eliminate false identifications. We present a new method for confidently identifying peptides with mercury (Hg)-containing adducts that is based on the influence of mercury's seven stable isotopes on peptide isotope distributions detected by high-resolution MS. Using a pure protein and E. coli cultures exposed to phenyl mercuric acetate, we show the pattern of peak heights in isotope distributions from primary MS single scans efficiently identified Hg adducts in data from chromatographic separation coupled with tandem mass spectrometry with sensitivity and specificity greater than 90%. Isotope distributions are independent of peptide identifications based on peptide fragmentation (e.g. by SEQUEST), so both methods can be combined to eliminate false positives. Summing peptide isotope distributions across multiple scans improved specificity to 99.4% and sensitivity above 95%, affording identification of an unexpected Hg modification. We also illustrate the theoretical applicability of the method for detection of several less common elements including the essential element, selenium, as selenocysteine in peptides.