Application of 'omics technologies to biomarker discovery in inflammatory lung diseases

Craig E. Wheelock, Victoria M. Goss, David Balgoma, Ben Nicholas, Joost Brandsma, Paul J. Skipp, Stuart Snowden, Dominic Burg, Arnaldo D'Amico, Ildiko Horvath, Amphun Chaiboonchoe, Hassan Ahmed, Stéphane Ballereau, Christos Rossios, Kian Fan Chung, Paolo Montuschi, Stephen J. Fowler, Ian M. Adcock, Anthony D. Postle, Sven Erik DahleńAnthony Rowe, Peter J. Sterk, Charles Auffray, Ratko Djukanović

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Inflammatory lung diseases are highly complex in respect of pathogenesis and relationships between inflammation, clinical disease and response to treatment. Sophisticated large-scale analytical methods to quantify gene expression (transcriptomics), proteins (proteomics), lipids (lipidomics) and metabolites (metabolomics) in the lungs, blood and urine are now available to identify biomarkers that define disease in terms of combined clinical, physiological and patho-biological abnormalities. The aspiration is that these approaches will improve diagnosis, i.e. define pathological phenotypes, and facilitate the monitoring of disease and therapy, and also, unravel underlying molecular pathways. Biomarker studies can either select predefined biomarker(s) measured by specific methods or apply an "unbiased" approach involving detection platforms that are indiscriminate in focus. This article reviews the technologies presently available to study biomarkers of lung disease within the 'omics field. The contributions of the individual 'omics analytical platforms to the field of respiratory diseases are summarised, with the goal of providing background on their respective abilities to contribute to systems medicine-based studies of lung disease. Copyright ©ERS 2013.
    Original languageEnglish
    Pages (from-to)802-825
    Number of pages23
    JournalEuropean Respiratory Journal
    Volume42
    Issue number3
    DOIs
    Publication statusPublished - 1 Sept 2013

    Fingerprint

    Dive into the research topics of 'Application of 'omics technologies to biomarker discovery in inflammatory lung diseases'. Together they form a unique fingerprint.

    Cite this