We describe the impact of advances in mass measurement accuracy, +/- 10 ppm (internally calibrated), on protein identification experiments. This capability was brought about by delayed extraction techniques used in conjunction with matrix-assisted laser desorption ionization (MALDI) on a reflectron time-of-flight (TOF) mass spectrometer. This work explores the advantage of using accurate mass measurement (and thus constraint on the possible elemental composition of components in a protein digest) in strategies for searching protein, gene, and EST databases that employ (a) mass values alone, (b) fragment-ion tagging derived from MS/MS spectra, and (c) de novo interpretation of MS/MS spectra. Significant improvement in the discriminating power of database searches has been found using only molecular weight values (i.e., measured mass) of > 10 peptide masses. When MALDI-TOF instruments are able to achieve the +/- 0.5-5 ppm mass accuracy necessary to distinguish peptide elemental compositions, it is possible to match homologous proteins having > 70% sequence identity to the protein being analyzed. The combination of a +/- 10 ppm measured parent mass of a single tryptic peptide and the near-complete amino acid (AA) composition information from immonium ions generated by MS/MS is capable of tagging a peptide in a database because only a few sequence permutations > 11 AA's in length for an AA composition can ever be found in a proteome. De novo interpretation of peptide MS/MS spectra may be accomplished by altering our MS-Tag program to replace an entire database with calculation of only the sequence permutations possible from the accurate parent mass and immonium ion limited AA compositions. A hybrid strategy is employed using de novo MS/MS interpretation followed by text-based sequence similarity searching of a database.

The 26S proteasome is a multisubunit complex responsible for degradation of ubiquitinated substrates, which plays a critical role in regulating various biological processes. To fully understand the function and regulation of the proteasome complex, an important step is to elucidate its subunit composition and posttranslational modifications. Toward this goal, a new affinity purification strategy has been developed using a derivative of the HB tag for rapid isolation of the human 26S proteasome complex for subsequent proteomic analysis. The purification of the complex is achieved from stable 293 cell lines expressing a HB-tagged proteasome subunit and by high-affinity streptavidin binding with TEV cleavage elution. The complete composition of the 26S proteasome complex, including recently assigned new subunits, is identified by LC-MS/MS. In addition, all known proteasome activator proteins and components involved in the ubiquitin-proteasome degradation pathway are identified. Aside from the subunit composition, the N-terminal modification and phosphorylation of the proteasome subunits have been characterized. Twelve novel phosphorylation sites from eight subunits have been identified, and N-terminal modifications are determined for 25 subunits, 12 of which have not been previously reported in mammals. We also observe different N-terminal processing of subunit Rpn2, which results in identification of two different N-termini of the protein. This work presents the first comprehensive characterization of the human 26S proteasome complex by affinity purification and tandem mass spectrometry. The detailed proteomic profiling obtained here is significant to future studies aiming at a complete understanding of the structure-function relationship of the human 26S proteasome complex.

Chemical cross-linking mass spectrometry identifies interacting surfaces within a protein assembly through labeling with bifunctional reagents and identifying the covalently modified peptides. These yield distance constraints that provide a powerful means to model the three-dimensional structure of the assembly. Bioinformatic analysis of crosslinked data resulting from large protein assemblies is challenging because each cross-linked product contains two covalently linked peptides, each of which must be correctly identified from a complex matrix of potential confounders.Protein Prospector addresses these issues through a complementary mass modification strategy in which each peptide is searched and identified separately. We demonstrate this strategy with an analysis of RNA polymerase II. False discovery rates (FDRs) are assessed via comparison of cross-linking data to crystal structure, as well as by using a decoy database strategy. Parameters that are most useful for positive identification of cross-linked spectra are explored. We find that fragmentation spectra generally contain more product ions from one of the two peptides constituting the cross-link. Hence, metrics reflecting the quality of the spectral match to the less confident peptide provide the most discriminatory power between correct and incorrect matches. A support vector machine model was built to further improve classification of cross-linked peptide hits. Furthermore, the frequency with which peptides cross-linked via common acylating reagents fragment to produce diagnostic, cross-linkerspecific ions is assessed.The threshold for successful identification of the cross-linked peptide product depends upon the complexity of the sample under investigation. Protein Prospector, by focusing the reliability assessment on the least confident peptide, is better able to control the FDR for results as larger complexes and databases are ana- Most proteins are organized into stable assemblies that communicate among themselves through transient proteinprotein interaction networks to catalyze cellular phenomena. Chemical cross-linking mass spectrometry directly measures protein-protein interactions by using bifunctional cross-linking reagents to covalently link surfaces of interacting partners (1-3). Following proteolysis, mass spectrometry is used to identify the covalently linked peptides and modified residues. This information, taken together with the geometry of the cross-linking reagent, provides distance constraints that are reflective of the three-dimensional structure of the protein complex. Cross-linking-derived distance constraints provide a powerful means by which to integrate atomic resolution structures of individual protein subunits or subassemblies with low-resolution electron-microscopy-derived structures, as well as to clarify molecular details that are unresolved in electron density maps. For instance, this approach has recently been applied to modeling the RNA Pol II preinitiation complex (4), several chromatin remodeling complexes (5, 6), th...