Autocatalytic Base Editing for RNA-Responsive Translational Control

Genetic circuits that control transgene expression in response to pre-defined transcriptional cues would enable the development of smart therapeutics. The present disclosure relates to engineered programmable single-transcript RNA sensors in which adenosine deaminases acting on RNA (ADARs) autocatalytically convert trigger hybridization into a translational output. This system amplifies the signal from editing by endogenous ADAR through a positive feedback loop. Amplification is mediated by the expression of a hyperactive, minimal ADAR variant and its recruitment to the edit site via an orthogonal RNA targeting mechanism. This topology confers high dynamic range, low background, minimal off-target effects, and a small genetic footprint. The circuits and systems disclosed herein leverage an ability to detect single nucleotide polymorphisms and modulate translation in response to endogenous transcript levels in mammalian cells.

Researchers

James Collins / Makoto Lalwani / Jonathan C. Chen / Xiaoyu Chen / Kehan Zhang / Nathaniel Tippens / Shiva Razavi / Katherine Ilia / Raphael Gayet

Departments: Department of Biological Engineering, Institute for Medical Engineering and Science
Technology Areas: Biotechnology: Sensors & Monitoring, Synthetic Biology / Diagnostics: Assays / Drug Discovery and Research Tools: Genomics & Proteomics / Therapeutics: Nucleic Acids
Impact Areas: Healthy Living

  • autocatalytic base editing for rna-responsive translational control
    United States of America | Published application | 0

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