Analysis of membrane proteins from human chronic myelogenous leukemia cells: comparison of extraction methods for multidimensional LC-MS/MS.

An important strategy for "shotgun proteomics" profiling involves solution proteolysis of proteins, followed by peptide separation using multidimensional liquid chromatography and automated sequencing by mass spectrometry (LC-MS/MS). Several protocols for extracting and handling membrane proteins for shotgun proteomics experiments have been reported, but few direct comparisons of different protocols have been reported. We compare four methods for preparing membrane proteins from human cells, using acid labile surfactants (ALS), urea, and mixed organic-aqueous solvents. These methods were compared with respect to their efficiency of protein solubilization and proteolysis, peptide and protein recovery, membrane protein enrichment, and peptide coverage of transmembrane proteins. Overall, approximately 50-60% of proteins recovered were membrane-associated, identified from Gene Ontology annotations and transmembrane prediction software. Samples extracted with ALS, extracted with urea followed by dilution, or extracted with urea followed by desalting yielded comparable peptide recoveries and sequence coverage of transmembrane proteins. In contrast, suboptimal proteolysis was observed with organic solvent. Urea extraction followed by desalting may be a particularly useful approach, as it is less costly than ALS and yields satisfactory protein denaturation and proteolysis under conditions that minimize reactivity with urea-derived cyanate. Spectral counting was used to compare datasets of proteins from membrane samples with those of soluble proteins from K562 cells, and to estimate fold differences in protein abundances. Proteins most highly abundant in the membrane samples showed enrichment of integral membrane protein identifications, consistent with their isolation by differential centrifugation.

Improving reproducibility and sensitivity in identifying human proteins by shotgun proteomics.

Identifying proteins in cell extracts by shotgun proteomics involves digesting the proteins, sequencing the resulting peptides by data-dependent mass spectrometry (MS/MS), and searching protein databases to identify the proteins from which the peptides are derived. Manual analysis and direct spectral comparison reveal that scores from two commonly used search programs (Sequest and Mascot) validate less than half of potentially identifiable MS/MS spectra (class positive) from shotgun analyses of the human erythroleukemia K562 cell line. Here we demonstrate increased sensitivity and accuracy using a focused search strategy along with a peptide sequence validation script that does not rely exclusively on XCorr or Mowse scores generated by Sequest or Mascot, but uses consensus between the search programs, along with chemical properties and scores describing the nature of the fragmentation spectrum (ion score and RSP). The approach yielded 4.2% false positive and 8% false negative frequencies in peptide assignments. The protein profile is then assembled from peptide assignments using a novel peptide-centric protein nomenclature that more accurately reports protein variants that contain identical peptide sequences. An Isoform Resolver algorithm ensures that the protein count is not inflated by variants in the protein database, eliminating approximately 25% of redundant proteins. Analysis of soluble proteins from a human K562 cells identified 5130 unique proteins, with approximately 100 false positive protein assignments.

Identification of novel phosphorylation sites on Xenopus laevis Aurora A and analysis of phosphopeptide enrichment by immobilized metal-affinity chromatography.

Mass spectrometric analysis of proteolytically derived phosphopeptides has developed into a widespread technique for the identification of phosphorylated amino acids. Using liquid chromatography-electrospray ionization tandem mass spectrometry, 14 phosphorylation sites were identified on Xenopus laevis His6-Aurora A, a highly conserved regulator of centrosome maturation and cell division. These included seven novel phosphorylation sites, Ser-12, Thr-21, Thr-103, Ser-116, Thr-122, Tyr-155, and Thr-294, as well as the previously identified regulatory sites, Ser-53, Thr-295, and Ser-349. The identification of these novel phosphorylation sites will be important for future studies aimed at elucidating the mechanisms of Aurora A regulation by phosphorylation. Furthermore, we demonstrate that a "kinase-inactive" mutant of Aurora A, K169R, still retains 10% of activity of the wild-type enzyme in vitro along with occupancy of Thr-295 and Ser-12. However, mutation of Asp-281 to Ala completely abolishes activity of the enzyme and should therefore be used preferentially as a genuine kinase-dead construct. Because of the abundance of phosphorylated residues on His6-Aurora A, we found this protein to be an ideal tool for the characterization of immobilized metal-affinity chromatography (IMAC) as a method for phosphopeptide enrichment from complex mixtures. We present a detailed analysis of the binding and elution properties of both the phosphopeptides and unphosphorylated peptides of His6-Aurora A to Fe3+-IMAC before and after methyl esterification. Moreover, we demonstrate a significant difference in enrichment of phosphopeptides when different resins are used for Fe3+-IMAC and characterize the strengths and limitations of this methodology for the study of phosphoproteomics.