Determination of primary microRNA processing in clinical samples by targeted pri-miR-sequencing

  1. Ulf A. Vang Ørom7
  1. 1Berlin Institute for Medical Systems Biology, 10115 Berlin, Germany
  2. 2Max Planck Institute for Molecular Genetic, 14195 Berlin, Germany
  3. 3Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain
  4. 4Biotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
  5. 5Universitätsklinikum Schleswig-Holstein, 23538 Lübeck, Germany
  6. 6University Pompeu Fabra (UPF), 08002 Barcelona, Spain
  7. 7Aarhus University, Department of Molecular Biology and Genetics, 8000 Aarhus, Denmark
  1. Corresponding author: ulf.orom{at}mbg.au.dk

Abstract

MicroRNA expression is important for gene regulation and deregulated microRNA expression is often observed in diseases such as cancer. The processing of primary microRNA transcripts is an important regulatory step in microRNA biogenesis. Due to low expression level and association with chromatin, primary microRNAs are challenging to study in clinical samples where input material is limited. Here, we present a high-sensitivity targeted method to determine processing efficiency of several hundred primary microRNAs from total RNA that requires relatively few RNA sequencing reads. We validate the method using RNA from HeLa cells and show the applicability to clinical samples by analyzing RNA from normal liver and hepatocellular carcinoma. We identify 24 primary microRNAs with significant changes in processing efficiency from normal liver to hepatocellular carcinoma, among those the highly expressed miRNA-122 and miRNA-21, demonstrating that differential processing of primary microRNAs is occurring and could be involved in disease. With our method presented here we provide means to study pri-miRNA processing in disease from clinical samples.

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Footnotes

  • Received April 30, 2020.
  • Accepted July 11, 2020.

This article, published in RNA, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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