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Unraveling the functional role of DNA demethylation at specific promoters by targeted steric blockage of DNA methyltransferase with CRISPR/dCas9

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  • Daniel M. Sapozhnikov

    (McGill University)

  • Moshe Szyf

    (McGill University)

Abstract

Despite four decades of research to support the association between DNA methylation and gene expression, the causality of this relationship remains unresolved. Here, we reaffirm that experimental confounds preclude resolution of this question with existing strategies, including recently developed CRISPR/dCas9 and TET-based epigenetic editors. Instead, we demonstrate a highly effective method using only nuclease-dead Cas9 and guide RNA to physically block DNA methylation at specific targets in the absence of a confounding flexibly-tethered enzyme, thereby enabling the examination of the role of DNA demethylation per se in living cells, with no evidence of off-target activity. Using this method, we probe a small number of inducible promoters and find the effect of DNA demethylation to be small, while demethylation of CpG-rich FMR1 produces larger changes in gene expression. This method could be used to reveal the extent and nature of the contribution of DNA methylation to gene regulation.

Suggested Citation

  • Daniel M. Sapozhnikov & Moshe Szyf, 2021. "Unraveling the functional role of DNA demethylation at specific promoters by targeted steric blockage of DNA methyltransferase with CRISPR/dCas9," Nature Communications, Nature, vol. 12(1), pages 1-26, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25991-9
    DOI: 10.1038/s41467-021-25991-9
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    Cited by:

    1. Wing Fuk Chan & Hannah D. Coughlan & Yunshun Chen & Christine R. Keenan & Gordon K. Smyth & Andrew C. Perkins & Timothy M. Johanson & Rhys S. Allan, 2022. "Activation of stably silenced genes by recruitment of a synthetic de-methylating module," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Mian Umair Ahsan & Anagha Gouru & Joe Chan & Wanding Zhou & Kai Wang, 2024. "A signal processing and deep learning framework for methylation detection using Oxford Nanopore sequencing," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    3. Amir D. Hay & Noah J. Kessler & Daniel Gebert & Nozomi Takahashi & Hugo Tavares & Felipe K. Teixeira & Anne C. Ferguson-Smith, 2023. "Epigenetic inheritance is unfaithful at intermediately methylated CpG sites," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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