A new paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles

Hanqing Liao, Emmanouil Moschidis, Isabel Riba-Garcia, Yan Zhang, Richard Unwin, Jeffrey Morris, Jim Graham, Andrew Dowsey

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform for discovery and screening is dependent on robust, sensitive and specific signal extraction and interpretation. The output of LC-MS is formed as a set of quantifiable images containing thousands of biochemical signals regulated in disease and treatment. We propose to tackle this problem for the first time with a biomedical image analysis paradigm. A novel workflow of image reconstruction, groupwise image registration and Bayesian functional mixed-effects modeling is presented. Poisson counting noise and lognormal biological variation are modeled in the raw image domain, resulting in markedly improved detection limit for differential analysis.
    Original languageEnglish
    Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
    Pages1332-1335
    ISBN (Electronic)9781467319614
    DOIs
    Publication statusPublished - 31 Jul 2014
    EventIEEE 11th International Symposium on Biomedical Imaging (ISBI) - Beijing, China
    Duration: 1 Apr 20142 May 2014

    Publication series

    Name
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Conference

    ConferenceIEEE 11th International Symposium on Biomedical Imaging (ISBI)
    CountryChina
    CityBeijing
    Period1/04/142/05/14

    Keywords

    • reconstruction,
    • image registration
    • functional mixed model
    • mass spectrometry
    • proteomics

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