Improvement of the performance of targeted LC-MS assays through enrichment of histidine-containing peptides

Cédric Mesmin, Bruno Domon*

*Corresponding author for this work

    Research output: Contribution to journalArticleResearchpeer-review

    14 Citations (Scopus)

    Abstract

    Mass spectrometric-based quantification using targeted methods has matured during the past decade and is now commonly used in proteomics. However, the reliability of protein quantification in complex matrixes using selected reaction monitoring is often impaired by interfering signals arising from coelution of nontargeted components. Sample preparation methods resulting in the reduction of the number of peptides present in the mixture minimizes this effect. One solution consists in the selective capture of peptides containing infrequent amino acids. The enrichment of histidine-containing peptides via immobilized metal-ion affinity chromatography loaded with Cu2+ ions (IMAC-Cu) was applied in a quantitative workflow and found to be a simple and cost effective method for the reduction of sample complexity with high recovery and selectivity. When applied to a series of depleted human plasma digests, the method decreased nonspecific signals, resulting in a more precise and robust protein quantification. The method was also shown to be an alternative to HSA/IgG depletion during plasma protein analysis. This method, used in conjunction with recent improvements in the instrument's peak capacity, addresses a bottleneck generally encountered in quantitative proteomics studies by providing the robustness and throughput required for the analysis of large sample series without compromising the number of proteins monitored.

    Original languageEnglish
    Pages (from-to)6160-6168
    Number of pages9
    JournalJournal of Proteome Research
    Volume13
    Issue number12
    DOIs
    Publication statusPublished - 5 Dec 2014

    Keywords

    • IMAC
    • Mass spectrometry
    • depletion
    • enrichment
    • histidine
    • selectivity
    • targeted proteomics

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