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[p SRM, SWATH and HRM -  targeted proteomics approaches on TripleTOF 5600+ mass spectrometer and their applications

J Faktor, E Michalova, P Bouchal

    Klinicka Onkologie : Casopis Ceske a Slovenske Onkologicke Spolecnosti
    |June 20, 2014
    PubMed

    Insights

    Targeted proteomic methods like selected reaction monitoring (SRM) and data-independent acquisition (DIA) offer sensitive protein quantification for cancer biomarker discovery. These techniques provide alternatives to traditional immunoassays for advancing cancer diagnostics and therapeutics.

    Area of Science:

    • Proteomics and Bioinformatics
    • Cancer Research and Biomarker Discovery

    Context:

    • Accurate quantification of cancer-associated proteins in clinical samples is crucial for developing novel diagnostic and therapeutic strategies.
    • Existing immunochemical methods may lack the sensitivity and scope required for comprehensive proteomic analysis in large patient cohorts.

    Purpose:

    • To provide an overview of novel quantitative targeted proteomic approaches for cancer research.
    • To highlight the advantages of selected reaction monitoring (SRM) and pseudo-SRM for sensitive protein quantification.
    • To discuss the potential of high-resolution mass spectrometry (HRM) and SWATH acquisition for proteomic data mining.

    Summary:

    • Selected reaction monitoring (SRM) and pseudo-SRM enable selective and sensitive quantification of target proteins, serving as a powerful alternative to immunochemical assays.
    • High-resolution mass spectrometry (HRM) and SWATH acquisition generate digital fingerprints for post-acquisition proteomic data mining, comparable to SRM.
    • Targeted proteomics applications are demonstrated in cancer studies for quantifying and validating protein biomarkers and investigating their role in cancer progression.

    Impact:

    • Facilitates the identification and validation of protein biomarkers for improved cancer diagnosis and prognosis.
    • Supports the development of targeted cancer therapies by elucidating the role of specific proteins in disease development.
    • Offers advanced quantitative proteomic tools for large-scale clinical sample analysis in cancer research.

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