Literature DB >> 22397766

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

Wells W Wu1, Guanghui Wang, Paul A Insel, Cheng-Te Hsiao, Sige Zou, Bronwen Martin, Stuart Maudsley, Rong-Fong Shen.   

Abstract

Pulsed Q collision-induced dissociation (PQD) was developed in part to facilitate detection of low-mass reporter ions using labeling reagents (e.g. iTRAQ) on LTQ platforms. It has generally been recognized that the scan speed and sensitivity of an LTQ are superior than those of an Orbitrap using the higher-energy collisional dissociation (HCD). However, the use of PQD in quantitative proteomics is limited, primarily due to the meager reproducibility of reporter ion ratios. Optimizations of PQD for iTRAQ quantification using LTQ have been reported, but a universally applicable strategy for quantifying the less abundant proteins has not been fully established. Adjustments of the AGC target, μscan, or scan speed offer only incremental improvements in reproducibility. From our experience, however, satisfactory coefficients of variation (CVs) of reporter ion ratios were difficult to achieve using the discovery-based approach. As an alternative, we implemented a target-based approach that obviates data dependency to allow repetitive data acquisitions across chromatographic peaks. Such a strategy generates enough data points for more reliable quantification. Using cAMP treatment in S49 cell lysates and this target-based approach, we were able to validate differentially expressed proteins, which were initially identified as potential candidates using the discovery-based PQD. The target-based strategy also yielded results comparable to those obtained from HCD in an Orbitrap. Our findings should aid LTQ users who desire to explore iTRAQ quantitative proteomics but have limited access to the more costly Orbitrap or other instruments. Published by Elsevier B.V.

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Year:  2012        PMID: 22397766      PMCID: PMC3321122          DOI: 10.1016/j.jprot.2012.02.027

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  19 in total

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Authors:  Jae C Schwartz; Michael W Senko; John E P Syka
Journal:  J Am Soc Mass Spectrom       Date:  2002-06       Impact factor: 3.109

2.  Identification of proteins and phosphoproteins using pulsed Q collision induced dissociation (PQD).

Authors:  Wells W Wu; Guanghui Wang; Paul A Insel; Cheng-Te Hsiao; Sige Zou; Stuart Maudsley; Bronwen Martin; Rong-Fong Shen
Journal:  J Am Soc Mass Spectrom       Date:  2011-07-15       Impact factor: 3.109

3.  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

4.  Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D gel- or LC-MALDI TOF/TOF.

Authors:  Wells W Wu; Guanghui Wang; Seung Joon Baek; Rong-Fong Shen
Journal:  J Proteome Res       Date:  2006-03       Impact factor: 4.466

5.  Identification and quantification of basic and acidic proteins using solution-based two-dimensional protein fractionation and label-free or 18O-labeling mass spectrometry.

Authors:  Wells W Wu; Guanghui Wang; Ming-Jiun Yu; Mark A Knepper; Rong-Fong Shen
Journal:  J Proteome Res       Date:  2007-05-17       Impact factor: 4.466

6.  Hybridization of pulsed-Q dissociation and collision-activated dissociation in linear ion trap mass spectrometer for iTRAQ quantitation.

Authors:  Tiannan Guo; Chee Sian Gan; Huoming Zhang; Yi Zhu; Oi Lian Kon; Siu Kwan Sze
Journal:  J Proteome Res       Date:  2008-10-07       Impact factor: 4.466

7.  LTQ-iQuant: A freely available software pipeline for automated and accurate protein quantification of isobaric tagged peptide data from LTQ instruments.

Authors:  Getiria Onsongo; Matthew D Stone; Susan K Van Riper; John Chilton; Baolin Wu; Leeann Higgins; Troy C Lund; John V Carlis; Timothy J Griffin
Journal:  Proteomics       Date:  2010-10       Impact factor: 3.984

8.  Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents.

Authors:  Philip L Ross; Yulin N Huang; Jason N Marchese; Brian Williamson; Kenneth Parker; Stephen Hattan; Nikita Khainovski; Sasi Pillai; Subhakar Dey; Scott Daniels; Subhasish Purkayastha; Peter Juhasz; Stephen Martin; Michael Bartlet-Jones; Feng He; Allan Jacobson; Darryl J Pappin
Journal:  Mol Cell Proteomics       Date:  2004-09-22       Impact factor: 5.911

9.  Combined pulsed-Q dissociation and electron transfer dissociation for identification and quantification of iTRAQ-labeled phosphopeptides.

Authors:  Feng Yang; Si Wu; David L Stenoien; Rui Zhao; Matthew E Monroe; Marina A Gritsenko; Samuel O Purvine; Ashoka D Polpitiya; Nikola Tolić; Qibin Zhang; Angela D Norbeck; Daniel J Orton; Ronald J Moore; Keqi Tang; Gordon A Anderson; Ljiljana Pasa-Tolić; David G Camp; Richard D Smith
Journal:  Anal Chem       Date:  2009-05-15       Impact factor: 6.986

10.  Relative quantification of proteins in human cerebrospinal fluids by MS/MS using 6-plex isobaric tags.

Authors:  Loïc Dayon; Alexandre Hainard; Virginie Licker; Natacha Turck; Karsten Kuhn; Denis F Hochstrasser; Pierre R Burkhard; Jean-Charles Sanchez
Journal:  Anal Chem       Date:  2008-03-01       Impact factor: 6.986

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  4 in total

Review 1.  Approaches for targeted proteomics and its potential applications in neuroscience.

Authors:  Sumit Sethi; Dipti Chourasia; Ishwar S Parhar
Journal:  J Biosci       Date:  2015-09       Impact factor: 1.826

2.  Identification and Characterization of Potential Biomarkers by Quantitative Tissue Proteomics of Primary Lung Adenocarcinoma.

Authors:  Chiung-Hung Hsu; Chia-Wei Hsu; Chuen Hsueh; Chih-Liang Wang; Yi-Cheng Wu; Chih-Ching Wu; Chin-Ching Liu; Jau-Song Yu; Yu-Sun Chang; Chia-Jung Yu
Journal:  Mol Cell Proteomics       Date:  2016-05-09       Impact factor: 5.911

3.  Altered learning, memory, and social behavior in type 1 taste receptor subunit 3 knock-out mice are associated with neuronal dysfunction.

Authors:  Bronwen Martin; Rui Wang; Wei-Na Cong; Caitlin M Daimon; Wells W Wu; Bin Ni; Kevin G Becker; Elin Lehrmann; William H Wood; Yongqing Zhang; Harmonie Etienne; Jaana van Gastel; Abdelkrim Azmi; Jonathan Janssens; Stuart Maudsley
Journal:  J Biol Chem       Date:  2017-05-18       Impact factor: 5.157

4.  Quantitative proteomics analysis of the cAMP/protein kinase A signaling pathway.

Authors:  Yurong Guo; Andrea Wilderman; Lingzhi Zhang; Susan S Taylor; Paul A Insel
Journal:  Biochemistry       Date:  2012-11-12       Impact factor: 3.162

  4 in total

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