Literature DB >> 15347803

Improved peptide identification in proteomics by two consecutive stages of mass spectrometric fragmentation.

Jesper V Olsen1, Matthias Mann.   

Abstract

MS-based proteomics usually involves the fragmentation of tryptic peptides (tandem MS or MS(2)) and their identification by searching protein sequence databases. In ion trap instruments fragments can be further fragmented and analyzed, a process termed MS/MS/MS or MS(3). Here, we report that efficient ion capture in a linear ion trap leads to MS(3) acquisition times and spectra quality similar to those for MS(2) experiments with conventional 3D ion traps. Fragmentation of N- or C-terminal ions resulted in informative and low-background spectra, even at subfemtomol levels of peptide. Typically C-terminal ions are chosen for further fragmentation, and the MS(3) spectrum greatly constrains the C-terminal amino acids of the peptide sequence. MS(3) spectra allow resolution of ambiguities in identification, a crucial problem in proteomics. Because of the sensitivity and rapid scan rates of the linear ion trap, several MS(3) spectra per peptide can be obtained even when sequencing very complex mixtures. We calculate the probability that an experimental MS(3) spectrum originates from fragmentation of a given N- or C-terminal ion of a peptide under consideration. This MS(3) identification score can be combined with the MS(2) scores of the precursor peptide from existing search engines. When MS(3) is performed on the linear ion trap-Fourier transform mass spectrometer combination, accurate peptide masses further increase confidence in peptide identification.

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Year:  2004        PMID: 15347803      PMCID: PMC518757          DOI: 10.1073/pnas.0405549101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

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Review 2.  Proteomics: the first decade and beyond.

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3.  Probability-based validation of protein identifications using a modified SEQUEST algorithm.

Authors:  Michael J MacCoss; Christine C Wu; John R Yates
Journal:  Anal Chem       Date:  2002-11-01       Impact factor: 6.986

4.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

5.  Novel linear quadrupole ion trap/FT mass spectrometer: performance characterization and use in the comparative analysis of histone H3 post-translational modifications.

Authors:  John E P Syka; Jarrod A Marto; Dina L Bai; Stevan Horning; Michael W Senko; Jae C Schwartz; Beatrix Ueberheide; Benjamin Garcia; Scott Busby; Tara Muratore; Jeffrey Shabanowitz; Donald F Hunt
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

6.  Prediction of low-energy collision-induced dissociation spectra of peptides.

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Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

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9.  C-terminal peptide sequencing via multistage mass spectrometry.

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Journal:  Anal Chem       Date:  1998-12-15       Impact factor: 6.986

10.  Error-tolerant identification of peptides in sequence databases by peptide sequence tags.

Authors:  M Mann; M Wilm
Journal:  Anal Chem       Date:  1994-12-15       Impact factor: 6.986

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4.  Confident phosphorylation site localization using the Mascot Delta Score.

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6.  Systematic comparison of a two-dimensional ion trap and a three-dimensional ion trap mass spectrometer in proteomics.

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7.  Comparison of MS(2)-only, MSA, and MS(2)/MS(3) methodologies for phosphopeptide identification.

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8.  Distinct signalling properties of insulin receptor substrate (IRS)-1 and IRS-2 in mediating insulin/IGF-1 action.

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Journal:  Cell Signal       Date:  2018-03-14       Impact factor: 4.315

9.  Screening for EphB signaling effectors using SILAC with a linear ion trap-orbitrap mass spectrometer.

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10.  Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instruments.

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