Literature DB >> 33872788

Commercially Available Blocking Oligonucleotides Effectively Suppress Unwanted Hemolysis-Related miRNAs in a Large Whole-Blood RNA Cohort.

Jenna LaBelle1, Mark Bowser1, Alison Brown1, Leanna Farnam2, Alvin Kho3, Jiang Li3, Michael McGeachie3, Robert Chase3, Shannon Piehl4, Kevin Allen4, Brian D Hobbs3, Scott T Weiss5, Craig Hersh3, Kelan Tantisira3, Sami S Amr6.   

Abstract

When sequencing small RNA libraries derived from whole blood, the most abundant microRNAs (miRs) detected are often miR-486-5p, miR-451a, and miR-92a-3p. These highly expressed erythropoietic miRs are released into the sample from red blood cell hemolysis. Next-generation sequencing of these unwanted miRs leads to a waste in sequencing cost and diminished detection of lowly expressed miRNAs, including many potential miRNA biomarkers. Previous work has developed a method to reduce targeted miRNAs using oligonucleotides that bind their target miRNA and prevent its ligation during library construction, although the extent to which oligonucleotides can be multiplexed and their effect on larger cohorts has not been thoroughly explored. We present a method for suppressing detection of three highly abundant heme miRs in a single multiplexed blocking oligonucleotide reaction. In a small paired-sample pilot (n = 8) and a large cohort of samples (n = 901), multiplexed oligos reduced detection of their target miRNAs by approximately 70%, allowing for an approximately 10-fold increase in reads mapping to nonheme miRs and increased detection of very lowly expressed miRs, with minimal off-target effects. By removing all three highly expressed erythropoietic miRNAs from next-generational sequencing libraries, this commercially available multiplexed blocking oligonucleotide method allows for greater detection of lowly expressed biomarkers, improving the efficacy, cost-efficiency, and sensitivity of biomarker studies and diagnostic tests.
Copyright © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 33872788      PMCID: PMC8207476          DOI: 10.1016/j.jmoldx.2021.03.006

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.341


  26 in total

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4.  The Impact of Hemolysis on Cell-Free microRNA Biomarkers.

Authors:  Michaela B Kirschner; J James B Edelman; Steven C-H Kao; Michael P Vallely; Nico van Zandwijk; Glen Reid
Journal:  Front Genet       Date:  2013-05-24       Impact factor: 4.599

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Authors:  Michaela B Kirschner; Steven C Kao; J James Edelman; Nicola J Armstrong; Michael P Vallely; Nico van Zandwijk; Glen Reid
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Authors:  Mette Pernille Myklebust; Benedikte Rosenlund; Peder Gjengstø; Bogdan Stefan Bercea; Ása Karlsdottir; Marianne Brydøy; Olav Dahl
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  4 in total

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