4.5 Article

On the benefits of acquiring peptide fragment ions at high measured mass accuracy

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.jasms.2008.02.005

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  1. NCI NIH HHS [R33 CA099139, R33CA099139-01, R33 CA099139-02] Funding Source: Medline
  2. NIAID NIH HHS [U54 AI057141, U54 AI057141-019003, 1U54 AI57141-01] Funding Source: Medline
  3. NIEHS NIH HHS [P30 ES007033-139019, P30 ES007033, 5P30ES007033-10] Funding Source: Medline

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The advantages and disadvantages of acquiring tandem mass spectra by collision-induced dissociation (CID) of peptides in linear ion trap Fourier-transform hybrid instruments are described. These instruments offer the possibility to transfer fragment ions from the linear ion trap to the FT-based analyzer for analysis with both high resolution and high mass accuracy. In addition, performing CID during the transfer of ions from the linear ion trap (LTQ) to the FT analyzer is also possible in instruments containing an additional collision cell (i.e., the C-trap in the LTQ-Orbitrap), resulting in tandem mass spectra over the full m/Z range and not limited by the ejection q value of the LTQ. Our results show that these scan modes have lower duty cycles than tandem mass spectra acquired in the LTQ with nominal mass resolution, and typically result in fewer peptide identifications during data-dependent analysis of complex samples. However, the higher measured mass accuracy and resolution provides more specificity and hence provides a lower false positive ratio for the same number of true positives during database search of peptide tandem mass spectra. In addition, the search for modified and unexpected peptides is greatly facilitated with this data acquisition mode. It is therefore concluded that acquisition of tandem mass spectral data with high measured mass accuracy and resolution is a competitive alternative to classical data acquisition strategies, especially in situations of complex searches from large databases, searches for modified peptides, or for peptides resulting from unspecific cleavages.

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