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High-throughput profiling for discovery of non-coding RNA biomarkers of lung disease.

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journal contribution
posted on 22.11.2019 by Paul J. McKiernan, Catherine M. Greene

In respiratory medicine there is a need for clinical biomarkers for diagnosis, prognosis and assessment of response to therapy. Noncoding RNA (ncRNA) is expressed in all human cells; two major classes - long ncRNA and microRNA - are detectable extracellularly in the circulation and other biofluids. Altered ncRNA expression is associated with lung disease; collectively this indicates that ncRNA represents a potential biomarker class. This article presents and compares existing platforms for detection and quantification of ncRNA, specifically hybridization, qRT-PCR and RNA sequencing, and outlines methods for data interpretation and normalization. Each approach has merits and shortcomings, which can affect the choice of method when embarking on a biomarker study. Biomarker properties and pre-analytical considerations for ncRNA profiling are also presented. Since a variety of profiling approaches are available, careful study and experimental design are important. Finally, challenges and goals for reliable, standardized high-throughput ncRNA profiling in biofluids as lung disease biomarkers are reviewed.

Funding

Royal College of Surgeons in Ireland Seed Fund

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The Version of Scholarly Record of this Article is published in Expert Review of Molecular Diagnostics 2016, available online at: http://www.tandfonline.com/ DOI: 10.1586/14737159.2016.1122526

Published Citation

McKiernan PJ, Greene CM. High-throughput profiling for discovery of non-coding RNA biomarkers of lung disease. Expert Review of Molecular Diagnostics. 2016;16(2):173-85

Publication Date

01/02/2016

Publisher

Taylor & Francis Group

PubMed ID

26581119

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