Landscape of microRNA and target expression variation and covariation in single mouse embryonic stem cells

  1. Marc R. Friedländer1
  1. 1Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, SE 114 18 Stockholm, Sweden;
  2. 2Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden;
  3. 3Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Center of Digital Health, 10178 Berlin, Germany;
  4. 4Department of Biology, Lund University, SE-221 00 Lund, Sweden;
  5. 5The Arctic University Museum of Norway, UiT–The Arctic University of Norway, NO-9037 Tromsø, Norway;
  6. 6School of Biomedical Sciences, University of New South Wales, Sydney, NSW 2052 Australia;
  7. 7Garvan Institute of Medical Research, Sydney, Darlinghurst NSW 2010 Australia
  • Corresponding authors: marcel.tarbier{at}scilifelab.se, marc.friedlander{at}scilifelab.se
  • Abstract

    microRNAs are small RNA molecules that can repress the expression of protein-coding genes post-transcriptionally. Previous studies have shown that microRNAs can also have alternative functions, including influencing target expression variation and covariation, but these observations have been limited to a few microRNAs. Here we systematically study microRNA alternative functions in mouse embryonic stem cells (mESCs) by genetically deleting Drosha, leading to global loss of microRNAs. We apply complementary single-cell RNA-seq methods to study the variation of the targets and the microRNAs themselves, and transcriptional inhibition to measure target half-lives. We find that microRNAs form four distinct coexpression groups across single cells. In particular, the mir-290 and the mir-182 genome clusters are abundantly, variably, and inversely expressed. Some cells have global biases toward specific miRNAs originating from either end of the hairpin precursor, suggesting the presence of unknown regulatory cofactors. We find that microRNAs generally increase variation and covariation of their targets at the RNA level, but we also find microRNAs such as miR-182 that appear to have opposite functions. In particular, microRNAs that are themselves variable in expression, such as miR-291a, are more likely to induce covariations. In summary, we apply genetic perturbation and multiomics to give the first global picture of microRNA dynamics at the single-cell level.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at https://www.genome.org/cgi/doi/10.1101/gr.279914.124.

    • Freely available online through the Genome Research Open Access option.

    • Received August 9, 2024.
    • Accepted November 26, 2025.

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

    This article has not yet been cited by other articles.

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