No abstract

The Staphylococcus aureus transpeptidase SrtA catalyzes the covalent attachment of LPXTG-containing virulence and colonization-associated proteins to cell-wall peptidoglycan in Gram-positive bacteria. Recent structural characterizations of staphylococcal SrtA, and related transpeptidases SrtB from S. aureus and Bacillus anthracis, provide many details regarding the active site environment, yet raise questions with regard to the nature of catalysis and active site cysteine thiol activation. Here we re-evaluate the kinetic mechanism of SrtA and shed light on aspects of its catalytic mechanism. Using steady-state, pre-steady-state, bisubstrate kinetic studies, and high-resolution electrospray mass spectrometry, revised steady-state kinetic parameters and a ping-pong hydrolytic shunt kinetic mechanism were determined for recombinant SrtA. The pH dependencies of kinetic parameters k(cat)/K(m) and k(cat) for the substrate Abz-LPETG-Dap(Dnp)-NH(2) were bell-shaped with pK(a) values of 6.3 +/- 0.2 and 9.4 +/- 0.2 for k(cat) and 6.2 +/- 0.2 and 9.4 +/- 0.2 for k(cat)/K(m). Solvent isotope effect (SIE) measurements revealed inverse behavior, with a (D)2(O)k(cat) of 0.89 +/- 0.01 and a (D)2(O)(k(cat)/K(m)) of 0.57 +/- 0.03 reflecting an equilibrium SIE. In addition, SIE measurements strongly implicated Cys184 participation in the isotope-sensitive rate-determining chemical step when considered in conjunction with an inverse linear proton inventory for k(cat). Last, the pH dependence of SrtA inactivation by iodoacetamide revealed a single ionization for inactivation. These studies collectively provide compelling evidence for a reverse protonation mechanism where a small fraction (ca. 0.06%) of SrtA is competent for catalysis at physiological pH, yet is highly active with an estimated k(cat)/K(m) of >10(5) M(-)(1) s(-)(1).

The human proteome is a highly complex extension of the genome wherein a single gene often produces distinct protein forms due to alternative splicing, RNA editing, polymorphisms, and posttranslational modifications. Due to the presence of polymorphisms, alternative splicing, and posttranslational modifications (PTMs) 1 the human proteome is highly complex, often encoding multiple protein forms for a given gene (1). This biological complexity poses a significant analytical and bioinformatic challenge to the detailed analysis of mammalian proteomes by MS and is exacerbated by the presence of gene families sharing high sequence identity (2, 3). Protein modifications are often indicative of changes in cellular or tissue dynamics and therefore play central roles in regulation of the cell cycle or development of disease. Whether for new diagnostics or understanding molecular mechanisms in cell biology, protein identification using tryptic peptides has revolutionized the analysis of complex mixtures by mass spectrometry (1, 4). High throughput platforms based on MALDI (5) and ESI use MS/MS engines capable of spectral acquisition at a rate of Ͼ10 4 /week (6, 7). Recent studies indicate significant inefficiencies associated with such large scale "bottom up" analyses in mammalian systems including imperfect enzymatic cleavage (8, 9) and some MS/MS spectra requiring manual interpretation/validation for identification. Despite the lingering difficulties with peptide analysis, it provides the best and most general method for large scale protein identification today with information on nonsynonymous coding single nucleotide polymorphisms (cSNPs), alternative splicing (10), and PTMs challenging to obtain (2).Recent developments by MacCoss et al. (11), Wu et al. (12), and Zhu et al. (13) use three proteases and multidimensional protein identification technology ("MudPIT") or isoelectric focusing, reversed-phase chromatography, and three mass spectrometers (13), respectively, to obtain mass information on ϳ70 -99% of the primary protein structure. Combining intact protein measurement with near exhaustive peptide analysis of five proteins from human cells allowed detection of N-terminal modifications and one alternatively spliced transcript (13). Although cSNP analysis of abundant blood proteins is possible (14), a general informatic strategy has yet to systematically integrate DNA and RNA level data with the MS-based interrogation of the human proteome. This is accomplished here using a data base of human proteins tailored