Literature DB >> 16478131

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

Adele R Blackler1, Aaron A Klammer, Michael J MacCoss, Christine C Wu.   

Abstract

A 2D ion trap has a greater ion trapping efficiency, greater ion capacity before observing space-charging effects, and a faster ion ejection rate than a traditional 3D ion trap mass spectrometer. These hardware improvements should result in a significant increase in protein identifications from complex mixtures analyzed using shotgun proteomics. In this study, we compare the quality and quantity of peptide identifications using data-dependent acquisition of tandem mass spectra of peptides between two commercially available ion trap mass spectrometers (an LTQ and an LCQ XP Max). We demonstrate that the increased trapping efficiency, increased ion capacity, and faster ion ejection rate of the LTQ results in greater than 5-fold more protein identifications, better identification of low-abundance proteins, and higher confidence protein identifications when compared with a LCQ XP Max.

Mesh:

Year:  2006        PMID: 16478131     DOI: 10.1021/ac051486a

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  17 in total

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

Authors:  Qunhua Li; Qiangwei Xia; Tiansong Wang; Marina Meila; Murray Hackett
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

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
Journal:  Proteomics       Date:  2007-08       Impact factor: 3.984

3.  A shotgun proteomic method for the identification of membrane-embedded proteins and peptides.

Authors:  Adele R Blackler; Anna E Speers; Mark S Ladinsky; Christine C Wu
Journal:  J Proteome Res       Date:  2008-06-07       Impact factor: 4.466

Review 4.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

Review 5.  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

6.  Seasonal liver protein differences in a hibernator revealed by quantitative proteomics using whole animal isotopic labeling.

Authors:  J Cameron Rose; L Elaine Epperson; Hannah V Carey; Sandra L Martin
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2011-03-05       Impact factor: 2.674

7.  Improvements in proteomic metrics of low abundance proteins through proteome equalization using ProteoMiner prior to MudPIT.

Authors:  Bryan R Fonslow; Paulo C Carvalho; Katrina Academia; Steve Freeby; Tao Xu; Aleksey Nakorchevsky; Aran Paulus; John R Yates
Journal:  J Proteome Res       Date:  2011-06-24       Impact factor: 4.466

8.  Highly Multiplex Targeted Proteomics Enabled by Real-Time Chromatographic Alignment.

Authors:  Philip M Remes; Ping Yip; Michael J MacCoss
Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

9.  Assessing the dynamic range and peak capacity of nanoflow LC-FAIMS-MS on an ion trap mass spectrometer for proteomics.

Authors:  Jesse D Canterbury; Xianhua Yi; Michael R Hoopmann; Michael J MacCoss
Journal:  Anal Chem       Date:  2008-08-12       Impact factor: 6.986

10.  Proteolysis of multiple myelin basic protein isoforms after neurotrauma: characterization by mass spectrometry.

Authors:  Andrew K Ottens; Erin C Golden; Liliana Bustamante; Ronald L Hayes; Nancy D Denslow; Kevin K W Wang
Journal:  J Neurochem       Date:  2007-11-22       Impact factor: 5.372

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