Literature DB >> 23913023

Factorial experimental designs elucidate significant variables affecting data acquisition on a quadrupole Orbitrap mass spectrometer.

Shan M Randall1, Helene L Cardasis, David C Muddiman.   

Abstract

Instrument parameter values for a quadrupole Orbitrap mass spectrometer were optimized for performing global proteomic analyses. Fourteen factors were evaluated for their influence on data-dependent acquisition with an emphasis on both the rate of sequencing and spectral quality by maximizing two individually tested response variables (unique peptides and protein groups). Of the 14 factors, 12 factors were assigned significant contrast values (P < 0.05) for both response variables. Fundamentally, when optimizing parameters, a balance between spectral quality and duty cycle needs to be reached in order to maximize proteome coverage. This is especially true when using a data-dependent approach for sequencing complex proteomes. For example, maximum ion injection time, automatic gain control settings, and minimum threshold settings for triggering MS/MS isolation and activation all heavily influence ion signal, the number of spectra collected, and spectral quality. To better assess the effect these parameters have on data acquisition, all MS/MS data were parsed according to ion abundance by calculating the percent of the AGC target reached for each MS/MS event and then compared with successful peptide-spectrum matches. This proved to be an effective approach for understanding the effect of ion abundance on successful peptide-spectrum matches and establishing minimum ion abundance thresholds for triggering MS/MS isolation and activation.

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Year:  2013        PMID: 23913023     DOI: 10.1007/s13361-013-0693-y

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  20 in total

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Review 2.  Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present.

Authors:  Marcus Bantscheff; Simone Lemeer; Mikhail M Savitski; Bernhard Kuster
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3.  A Heuristic method for assigning a false-discovery rate for protein identifications from Mascot database search results.

Authors:  D Brent Weatherly; James A Atwood; Todd A Minning; Cameron Cavola; Rick L Tarleton; Ron Orlando
Journal:  Mol Cell Proteomics       Date:  2005-02-09       Impact factor: 5.911

4.  The Orbitrap: a new mass spectrometer.

Authors:  Qizhi Hu; Robert J Noll; Hongyan Li; Alexander Makarov; Mark Hardman; R Graham Cooks
Journal:  J Mass Spectrom       Date:  2005-04       Impact factor: 1.982

5.  Design, Modeling, Fabrication, and Evaluation of the Air Amplifier for Improved Detection of Biomolecules by Electrospray Ionization Mass Spectrometry.

Authors:  Guillaume Robichaud; R Brent Dixon; Amarnatha S Potturi; Dan Cassidy; Jack R Edwards; Alex Sohn; Thomas A Dow; David C Muddiman
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Review 6.  The biological impact of mass-spectrometry-based proteomics.

Authors:  Benjamin F Cravatt; Gabriel M Simon; John R Yates
Journal:  Nature       Date:  2007-12-13       Impact factor: 49.962

7.  Comparison of the LTQ-Orbitrap Velos and the Q-Exactive for proteomic analysis of 1-1000 ng RAW 264.7 cell lysate digests.

Authors:  Liangliang Sun; Guijie Zhu; Norman J Dovichi
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8.  Strategy for optimizing LC-MS data processing in metabolomics: a design of experiments approach.

Authors:  Mattias Eliasson; Stefan Rännar; Rasmus Madsen; Magdalena A Donten; Emma Marsden-Edwards; Thomas Moritz; John P Shockcor; Erik Johansson; Johan Trygg
Journal:  Anal Chem       Date:  2012-07-26       Impact factor: 6.986

9.  Evaluation of HCD- and CID-type fragmentation within their respective detection platforms for murine phosphoproteomics.

Authors:  Mark P Jedrychowski; Edward L Huttlin; Wilhelm Haas; Mathew E Sowa; Ramin Rad; Steven P Gygi
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10.  Global optimization of the infrared matrix-assisted laser desorption electrospray ionization (IR MALDESI) source for mass spectrometry using statistical design of experiments.

Authors:  Jeremy A Barry; David C Muddiman
Journal:  Rapid Commun Mass Spectrom       Date:  2011-12-15       Impact factor: 2.419

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  13 in total

1.  Performance metrics for evaluating system suitability in liquid chromatography--Mass spectrometry peptide mass mapping of protein therapeutics and monoclonal antibodies.

Authors:  Mowei Zhou; Ashley C Gucinski; Michael T Boyne
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2.  Comprehensive lipidome analysis by shotgun lipidomics on a hybrid quadrupole-orbitrap-linear ion trap mass spectrometer.

Authors:  Reinaldo Almeida; Josch Konstantin Pauling; Elena Sokol; Hans Kristian Hannibal-Bach; Christer S Ejsing
Journal:  J Am Soc Mass Spectrom       Date:  2014-11-13       Impact factor: 3.109

3.  Multiplexed peptide analysis using data-independent acquisition and Skyline.

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Journal:  Nat Protoc       Date:  2015-05-21       Impact factor: 13.491

4.  Accelerating Lipidomic Method Development through in Silico Simulation.

Authors:  Paul D Hutchins; Jason D Russell; Joshua J Coon
Journal:  Anal Chem       Date:  2019-07-25       Impact factor: 6.986

5.  Mass Spectrometric Profiling of Neuropeptides in Response to Copper Toxicity via Isobaric Tagging.

Authors:  Christopher S Sauer; Lingjun Li
Journal:  Chem Res Toxicol       Date:  2021-03-11       Impact factor: 3.739

6.  Optimization of mass spectrometric parameters improve the identification performance of capillary zone electrophoresis for single-shot bottom-up proteomics analysis.

Authors:  Zhenbin Zhang; Norman J Dovichi
Journal:  Anal Chim Acta       Date:  2017-11-14       Impact factor: 6.558

7.  The PeptideAtlas of the Domestic Laying Hen.

Authors:  James McCord; Zhi Sun; Eric W Deutsch; Robert L Moritz; David C Muddiman
Journal:  J Proteome Res       Date:  2017-02-14       Impact factor: 4.466

8.  Accurate identification of deamidated peptides in global proteomics using a quadrupole orbitrap mass spectrometer.

Authors:  Angelito I Nepomuceno; Radiance J Gibson; Shan M Randall; David C Muddiman
Journal:  J Proteome Res       Date:  2013-12-12       Impact factor: 4.466

Review 9.  Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments.

Authors:  Elizabeth S Hecht; Ann L Oberg; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2016-03-07       Impact factor: 3.109

10.  Global Proteomic Analysis of Functional Compartments in Immature Avian Follicles Using Laser Microdissection Coupled to LC-MS/MS.

Authors:  Angelito I Nepomuceno; David C Muddiman; James N Petitte
Journal:  J Proteome Res       Date:  2015-08-12       Impact factor: 4.466

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