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    An assessment of peptide enrichment methods employing mTRAQ quantification approaches.

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    Authors
    Potier, D
    Griffiths, John R
    Unwin, R
    Walker, M
    Carrick, E
    Willamson, A
    Whetton, A
    Affiliation
    School of Cancer & Enabling Sciences, Wolfson Molecular Imaging Centre, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
    Issue Date
    2012-07-03
    
    Metadata
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    Abstract
    The human plasma peptidome has potential in biomarker discovery not least because the plasma proteome is a challenging matrix due to its complexity and dynamic range. However, methods to significantly reduce the amount of protein present in plasma while retaining the less abundant peptides present in plasma samples has been a major issue. Here, we present a novel strategy which has been employed to assess the effectiveness of removing interfering proteins while retaining peptides of interest. To monitor peptide retention, a spiked in digested protein, in this case a synthetic QconCAT protein, was employed. This enabled a variety of target analytes (peptides) to be monitored for their retention in liquid phase, providing a broader picture of peptide loss from each method assessed. The incorporation of mTRAQ labeling allowed the presence of each peptide to be monitored, and accurate peptide losses to be determined in a Selected Reaction Monitoring (SRM) assay, thus, enabling an objective semiquantitative conclusion to be drawn regarding the suitability of each method for protein removal and peptide retention. We also assessed a range of methods for retaining nontryptic peptides in a plasma peptidomics workflow. From these data, we determined an optimal workflow for removing intact protein, while retaining peptides for MS-based analyses.
    Citation
    An assessment of peptide enrichment methods employing mTRAQ quantification approaches. 2012, 84 (13):5604-10 Anal Chem
    Journal
    Analytical Chemistry
    URI
    http://hdl.handle.net/10541/254637
    DOI
    10.1021/ac300584y
    PubMed ID
    22762262
    Type
    Article
    Language
    en
    ISSN
    1520-6882
    ae974a485f413a2113503eed53cd6c53
    10.1021/ac300584y
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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