title: Effectiveness of CID, HCD, and ETD with FT MS/MS for degradomic-peptidomic analysis: comparison of peptide identification methods.
abstract: We report on the effectiveness of CID, HCD, and ETD for LC-FT MS/MS analysis of peptides using a tandem linear ion trap-Orbitrap mass spectrometer. A range of software tools and analysis parameters were employed to explore the use of CID, HCD, and ETD to identify peptides (isolated from human blood plasma) without the use of specific "enzyme rules". In the evaluation of an FDR-controlled SEQUEST scoring method, the use of accurate masses for fragments increased the number of identified peptides (by ~50%) compared to the use of conventional low accuracy fragment mass information, and CID provided the largest contribution to the identified peptide data sets compared to HCD and ETD. The FDR-controlled Mascot scoring method provided significantly fewer peptide identifications than SEQUEST (by 1.3-2.3 fold) and CID, HCD, and ETD provided similar contributions to identified peptides. Evaluation of de novo sequencing and the UStags method for more intense fragment ions revealed that HCD afforded more contiguous residues (e.g., ≥ 7 amino acids) than either CID or ETD. Both the FDR-controlled SEQUEST and Mascot scoring methods provided peptide data sets that were affected by the decoy database used and mass tolerances applied (e.g., identical peptides between data sets could be limited to ~70%), while the UStags method provided the most consistent peptide data sets (>90% overlap). The m/z ranges in which CID, HCD, and ETD contributed the largest number of peptide identifications were substantially overlapping. This work suggests that the three peptide ion fragmentation methods are complementary and that maximizing the number of peptide identifications benefits significantly from a careful match with the informatics tools and methods applied. These results also suggest that the decoy strategy may inaccurately estimate identification FDRs.
authors.affiliation: Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Shen
authors.forename: Nikola
authors.initials: N
authors.lastname: Tolić
authors.forename: Fang
authors.initials: F
authors.lastname: Xie
authors.forename: Rui
authors.initials: R
authors.lastname: Zhao
authors.forename: Samuel O
authors.initials: SO
authors.lastname: Purvine
authors.forename: Athena A
authors.initials: AA
authors.lastname: Schepmoes
authors.forename: Ronald J
authors.initials: RJ
authors.lastname: Moore
authors.forename: Gordon A
authors.initials: GA
authors.lastname: Anderson
authors.forename: Richard D
authors.initials: RD
authors.lastname: Smith
mesh_terms: D000595:Amino Acid Sequence; D001798:Blood Proteins / Q000032:analysis / Q000737:chemistry; D030562:Databases, Protein; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D008969:Molecular Sequence Data; D010455:Peptides / Q000032:analysis* / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D012984:Software
chemical_list: D001798:Blood Proteins; D010455:Peptides