Literature DB >> 16628562

Analysis of the stochastic variation in LTQ single scan mass spectra.

Qunhua Li1, Qiangwei Xia, Tiansong Wang, Marina Meila, Murray Hackett.   

Abstract

A better understanding of the scan-to-scan signal intensity variation can lead to more sophisticated algorithms for database searching and de novo peptide sequencing using single scan mass spectra. In this study, we systematically studied the variation in relative intensity of m/z values in the single scan product ion mass spectra (MS2) derived from five representative precursor ions (MS1) collected using an LTQ linear ion trap under constant flow direct infusion conditions with peptide concentrations held constant. We applied a matching algorithm based on a pair hidden Markov model to align the peaks from each scan belonging to the same m/z value prior to assessing the signal intensity variation. The most significant single contributor to scan-to-scan signal intensity variation for high abundance ions was centroider error. Our study also showed that the variation in signal intensity is higher than what would be expected if the ion statistics derived from the dual geometry electron multiplier detector followed a Poisson distribution. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 16628562      PMCID: PMC2660854          DOI: 10.1002/rcm.2471

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  6 in total

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4.  De novo peptide sequencing based on a divide-and-conquer algorithm and peptide tandem spectrum simulation.

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5.  Quantitative comparison of proteomic data quality between a 2D and 3D quadrupole ion trap.

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Journal:  Anal Chem       Date:  2006-02-15       Impact factor: 6.986

6.  An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

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  6 in total
  6 in total

1.  A self-validating quantitative mass spectrometry method for assessing the accuracy of high-content phosphoproteomic experiments.

Authors:  Pedro Casado; Pedro R Cutillas
Journal:  Mol Cell Proteomics       Date:  2010-10-24       Impact factor: 5.911

Review 2.  Protein abundance ratios for global studies of prokaryotes.

Authors:  Qiangwei Xia; Erik L Hendrickson; Tiansong Wang; Richard J Lamont; John A Leigh; Murray Hackett
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Review 3.  Mass spectrometry-based proteomics and its application to studies of Porphyromonas gingivalis invasion and pathogenicity.

Authors:  Richard J Lamont; Marina Meila; Qiangwei Xia; Murray Hackett
Journal:  Infect Disord Drug Targets       Date:  2006-09

4.  Discovery- and target-based protein quantification using iTRAQ and pulsed Q collision induced dissociation (PQD).

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Journal:  J Proteomics       Date:  2012-03-03       Impact factor: 4.044

5.  Computational analyses of spectral trees from electrospray multi-stage mass spectrometry to aid metabolite identification.

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Journal:  Metabolites       Date:  2013-10-31

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Authors:  Gelio Alves; Aleksey Y Ogurtsov; Siwei Kwok; Wells W Wu; Guanghui Wang; Rong-Fong Shen; Yi-Kuo Yu
Journal:  Biol Direct       Date:  2008-07-02       Impact factor: 4.540

  6 in total

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