Literature DB >> 18837533

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

Tiannan Guo1, Chee Sian Gan, Huoming Zhang, Yi Zhu, Oi Lian Kon, Siu Kwan Sze.   

Abstract

Coupling of multiplex isobaric tags for relative and absolute quantitation (iTRAQ) to a sensitive linear ion trap (LTQ) mass spectrometer (MS) is a challenging, but highly promising approach for quantitative high-throughput proteomic profiling. Integration of the advantages of pulsed-Q dissociation (PQD) and collision-activated dissociation (CAD) fragmentation methods into a PQD-CAD hybrid mode, together with PQD optimization and data manipulation with a bioinformatics algorithm, resulted in a robust, sensitive and accurate iTRAQ quantitative proteomic workflow. The workflow was superior to the default PQD setting when profiling the proteome of a gastric cancer cell line, SNU5. Taken together, we established an optimized PQD-CAD hybrid workflow in LTQ-MS for iTRAQ quantitative proteomic profiling that may have wide applications in biological and biomedical research.

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Year:  2008        PMID: 18837533     DOI: 10.1021/pr800403z

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  21 in total

1.  Enhanced performance of pulsed Q collision induced dissociation-based peptide identification on a dual-pressure linear ion trap.

Authors:  Christopher Lössner; Walter Blackstock; Jayantha Gunaratne
Journal:  J Am Soc Mass Spectrom       Date:  2011-10-27       Impact factor: 3.109

2.  Quantitative proteomics discloses MET expression in mitochondria as a direct target of MET kinase inhibitor in cancer cells.

Authors:  Tiannan Guo; Yi Zhu; Chee Sian Gan; Sze Sing Lee; Jiang Zhu; Haixia Wang; Xin Li; James Christensen; Shiang Huang; Oi Lian Kon; Siu Kwan Sze
Journal:  Mol Cell Proteomics       Date:  2010-08-16       Impact factor: 5.911

3.  Global molecular dysfunctions in gastric cancer revealed by an integrated analysis of the phosphoproteome and transcriptome.

Authors:  Tiannan Guo; Sze Sing Lee; Wai Har Ng; Yi Zhu; Chee Sian Gan; Jiang Zhu; Haixia Wang; Shiang Huang; Siu Kwan Sze; Oi Lian Kon
Journal:  Cell Mol Life Sci       Date:  2010-10-16       Impact factor: 9.261

4.  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

5.  Simultaneous characterization of glyco- and phosphoproteomes of mouse brain membrane proteome with electrostatic repulsion hydrophilic interaction chromatography.

Authors:  Huoming Zhang; Tiannan Guo; Xin Li; Arnab Datta; Jung Eun Park; Jie Yang; Sai Kiang Lim; James P Tam; Siu Kwan Sze
Journal:  Mol Cell Proteomics       Date:  2010-01-04       Impact factor: 5.911

Review 6.  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

7.  Assessment of resolution parameters for CID-based shotgun proteomic experiments on the LTQ-Orbitrap mass spectrometer.

Authors:  Min-Sik Kim; Kumaran Kandasamy; Raghothama Chaerkady; Akhilesh Pandey
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-24       Impact factor: 3.109

8.  Quantitative plasma proteomic profiling identifies the vitamin E binding protein afamin as a potential pathogenic factor in SIV induced CNS disease.

Authors:  Gurudutt Pendyala; Sunia A Trauger; Gary Siuzdak; Howard S Fox
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

9.  iTRAQ quantitative analysis of multidrug resistance mechanisms in human gastric cancer cells.

Authors:  Huai-Dong Hu; Feng Ye; Da-Zhi Zhang; Peng Hu; Hong Ren; Sang-Lin Li
Journal:  J Biomed Biotechnol       Date:  2010-06-06

10.  Proteomic analysis of a noninvasive human model of acute inflammation and its resolution: the twenty-one day gingivitis model.

Authors:  Melissa M Grant; Andrew J Creese; Gordon Barr; Martin R Ling; Ann E Scott; John B Matthews; Helen R Griffiths; Helen J Cooper; Iain L C Chapple
Journal:  J Proteome Res       Date:  2010-09-03       Impact factor: 4.466

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