Literature DB >> 23991718

iTRAQ analysis with Paul ion trap-obstacle solved.

Anna Drabik1, Anna Bodzoń-Kułakowska, Piotr Suder, Paweł Ciborowski, Jerzy Silberring.   

Abstract

Mass spectrometers equipped with ion trap analyzers have been significantly improved due to their high performance and wide application area accompanying the low costs of purchase. Despite several advantages, such as reasonable resolution at low cost, high sensitivity, and capability for multistage analysis, ion traps have an important drawback: low mass cutoff during tandem mass spectrometry analysis MS(n). Although the low mass cutoff associated with the ion trap does not seriously obstruct peptide identification, it may cause a serious problem in identification of small molecules (posttranslational modifications, e.g., glycan structures) and quantification of peptides with multiplexed isobaric tag reagents. The presented approach offers the possibility to use isobaric tags for relative and absolute quantification labeling (iTRAQ) for quantitative, proteomic analysis using typical, widely available ion trap devices and manufacturer's software. We have performed series of analyses of standard protein labeled with isobaric tags in various concentration ratios to prove quantitative capabilities of this approach.

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Year:  2013        PMID: 23991718      PMCID: PMC5865396          DOI: 10.1021/pr400316x

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


  7 in total

1.  Gaining efficiency by parallel quantification and identification of iTRAQ-labeled peptides using HCD and decision tree guided CID/ETD on an LTQ Orbitrap.

Authors:  Nikolai Mischerikow; Pim van Nierop; Ka Wan Li; Hans-Gert Bernstein; August B Smit; Albert J R Heck; A F Maarten Altelaar
Journal:  Analyst       Date:  2010-08-10       Impact factor: 4.616

2.  Protein labeling by iTRAQ: a new tool for quantitative mass spectrometry in proteome research.

Authors:  Sebastian Wiese; Kai A Reidegeld; Helmut E Meyer; Bettina Warscheid
Journal:  Proteomics       Date:  2007-02       Impact factor: 3.984

3.  iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer.

Authors:  Timothy J Griffin; Hongwei Xie; Sricharan Bandhakavi; Jonathan Popko; Archana Mohan; John V Carlis; LeeAnn Higgins
Journal:  J Proteome Res       Date:  2007-09-29       Impact factor: 4.466

4.  Low mass cutoff evasion with q(z) value optimization in ion trap.

Authors:  Yung-Hun Yang; Kwangwon Lee; Kyoung-Soon Jang; Yun-Gon Kim; Sung-Hee Park; Chang-Soo Lee; Byung-Gee Kim
Journal:  Anal Biochem       Date:  2009-01-15       Impact factor: 3.365

5.  Higher-energy collision-activated dissociation without a dedicated collision cell.

Authors:  Graeme C McAlister; Douglas H Phanstiel; Justin Brumbaugh; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2011-03-10       Impact factor: 5.911

6.  Quantification of Serum Proteins of Metastatic Oral Cancer Patients Using LC-MS/MS and iTRAQ Labeling.

Authors:  Lifeng Zhang; Jiang Jiang; Martha Arellano; Lei Zhang; Xinmin Yan; David T Wong; Shen Hu
Journal:  Open Proteomics J       Date:  2008

7.  Comparison of 4-plex to 8-plex iTRAQ quantitative measurements of proteins in human plasma samples.

Authors:  Gwenael Pottiez; Jayme Wiederin; Howard S Fox; Pawel Ciborowski
Journal:  J Proteome Res       Date:  2012-05-30       Impact factor: 4.466

  7 in total
  1 in total

1.  Opposing regulation of endolysosomal pathways by long-acting nanoformulated antiretroviral therapy and HIV-1 in human macrophages.

Authors:  Mariluz Araínga; Dongwei Guo; Jayme Wiederin; Pawel Ciborowski; JoEllyn McMillan; Howard E Gendelman
Journal:  Retrovirology       Date:  2015-01-22       Impact factor: 4.602

  1 in total

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