Evaluation of methodologies for microRNA biomarker detection by next generation sequencing. Issue 8 (3rd August 2018)

• Record Type: Journal Article
• Authors: Coenen-Stass, Anna M.L.; Magen, Iddo; Brooks, Tony; Ben-Dov, Iddo Z.; Greensmith, Linda; Hornstein, Eran; Fratta, Pietro
• Is Part Of: RNA biology. Volume 15:Issue 8(2018)
• Page Start: 1133
• Page End: 1145
• Publication Date: 2018-08-03
• Subjects: microRNA -- small RNA sequencing -- biomarker -- next-generation-sequencing -- sequencing library preparation; RNA -- Periodicals; Molecular biology -- Periodicals; Molecular biology; RNA; Periodicals; 572.8805
• DOI: 10.1080/15476286.2018.1514236
• Languages: English
• ISSNs: 1547-6286

Abstract

ABSTRACT: In recent years, microRNAs (miRNAs) in tissues and biofluids have emerged as a new class of promising biomarkers for numerous diseases. Blood-based biomarkers are particularly desirable since serum or plasma is easily accessible and can be sampled repeatedly. To comprehensively explore the biomarker potential of miRNAs, sensitive, accurate and cost-efficient miRNA profiling techniques are required. Next generation sequencing (NGS) is emerging as the preferred method for miRNA profiling; offering high sensitivity, single-nucleotide resolution and the possibility to profile a considerable number of samples in parallel. Despite the excitement about miRNA biomarkers, challenges associated with insufficient characterization of the sequencing library preparation efficacy, precision and method-related quantification bias have not been addressed in detail and are generally underappreciated in the wider research community. Here, we have tested in parallel four commercially available small RNA sequencing kits against a cohort of samples comprised of human plasma, human serum, murine brain tissue and a reference library containing ~ 950 synthetic miRNAs. We discuss the advantages and limits of these methodologies for massive parallel microRNAs profiling. This work can serve as guideline for choosing an adequate library preparation method, based on sensitivity, specificity and accuracy of miRNA quantification, workflow convenience and potential for automation.