Improving protein identification using complementary fragmentation techniques in fourier transform mass spectrometry.
Identification of proteins by MS/MS is performed by matching experimental mass spectra against calculated spectra of all possible peptides in a protein data base. The search engine assigns each spectrum a score indicating how well the experimental data complies with the expected one; a higher score means increased confidence in the identification. One problem is the false-positive identifications, which arise from incomplete data as well as from the presence of misleading ions in experimental mass spectra due to gas-phase reactions, stray ions, contaminants, and electronic noise. We employed a novel technique of reduction of false positives that is based on a combined use of orthogonal fragmentation techniques electron capture dissociation (ECD) and collisionally activated dissociation (CAD). Since ECD and CAD exhibit many complementary properties, their combined use greatly increased the analysis specificity, which was further strengthened by the high mass accuracy (approximately 1 ppm) afforded by Fourier transform mass spectrometry. The utility of this approach is demonstrated on a whole cell lysate from Escherichia coli. Analysis was made using the data-dependent acquisition mode. Extraction of complementary sequence information was performed prior to data base search using in-house written software. Only masses involved in complementary pairs in the MS/MS spectrum from the same or orthogonal fragmentation techniques were submitted to the data base search. ECD/CAD identified twice as many proteins at a fixed statistically significant confidence level with on average a 64% higher Mascot score. The confidence in protein identification was hereby increased by more than 1 order of magnitude. The combined ECD/CAD searches were on average 20% faster than CAD-only searches. A specially developed test with scrambled MS/MS data revealed that the amount of false-positive identifications was dramatically reduced by the combined use of CAD and ECD.
Nielsen
Michael L
ML
Laboratory for Biological and Medical Mass Spectrometry, Uppsala University, S-75123 Uppsala, Sweden. Michael.Lund-Nielsen@bmms.uu.se
Savitski
Mikhail M
MM
Zubarev
Roman A
RA
D017357:Cyclotrons; D004583:Electrons; D004926:Escherichia coli / Q000737:chemistry*; D029968:Escherichia coli Proteins / Q000378:metabolism*; D013058:Mass Spectrometry; D036103:Nanotechnology; D010455:Peptides / Q000737:chemistry*; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics; D017550:Spectroscopy, Fourier Transform Infrared
D029968:Escherichia coli Proteins; D010455:Peptides; D011506:Proteins