4.8 Article

High-throughput mutagenesis reveals unique structural features of human ADAR1

Journal

NATURE COMMUNICATIONS
Volume 11, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41467-020-18862-2

Keywords

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Funding

  1. US NIH [R01GM061115]
  2. University of California Davis Flow Cytometry Shared Resource Laboratory
  3. NCI [P30 CA093373]
  4. NIH NCRR [C06-RR12088, S10 OD018223, S10 RR12964, S10 RR 026825]
  5. University of California-Davis
  6. National Science Foundation [1827246, 1805510, 1627539]
  7. National Institute of Environmental Health Sciences of the National Institutes of Health (NIH) [P42ES004699]
  8. NIH [R01 GM 076324-11]
  9. Rosetta Commons
  10. National Institutes of Health [T32-GM113770]

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Adenosine Deaminases that act on RNA (ADARs) are enzymes that catalyze adenosine to inosine conversion in dsRNA, a common form of RNA editing. Mutations in the human ADAR1 gene are known to cause disease and recent studies have identified ADAR1 as a potential therapeutic target for a subset of cancers. However, efforts to define the mechanistic effects for disease associated ADAR1 mutations and the rational design of ADAR1 inhibitors are limited by a lack of structural information. Here, we describe the combination of high throughput mutagenesis screening studies, biochemical characterization and Rosetta-based structure modeling to identify unique features of ADAR1. Importantly, these studies reveal a previously unknown zinc-binding site on the surface of the ADAR1 deaminase domain which is important for ADAR1 editing activity. Furthermore, we present structural models that explain known properties of this enzyme and make predictions about the role of specific residues in a surface loop unique to ADAR1. Human ADAR proteins are responsible for RNA editing, conversion of adenosine to inosine in double-stranded RNA. Here the authors report a previously unknown zinc ion-binding site in the catalytic domain of human ADAR1 using high throughput mutagenesis, biochemical assay and Rosetta-based protein structure modeling.

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