Sign in
Synthetic BiologybioRxiv
Preprint

ADAR-Sense: an open-access, species-agnostic web tool for automated, user-customisable ADAR-based RNA sensor design

Henry SserwaddaiD, Kyemyung ParkiD, Yong-Hee KimiD, Hyun Je KimiD, Chung‐Gyu ParkiD

Abstract

BackgroundEngineered synthetic RNAs enable cellular control by sensing and responding to intracellular biomolecules. Recently developed sense-edit-switch RNAs (sesRNAs) based on Adenosine Deaminase Acting on RNA (ADAR)--which edits a stop codon to switch on custom payload translation in the presence of a target RNA--are consistently functional across different species. The ability of sesRNAs to couple bespoke payload translation to the presence of cell type-specific transcripts will usher in an era of precise cell-targeted biotechnological interventions. ResultsTo expedite the generation of sesRNAs, we develop ADAR-Sense--a universal web tool for automated sensor design based on user-defined sensor length, sensor-target RNA mismatch number, mismatch proximity to the ADAR-editable stop codon, and targeted custom element inclusion for improved ADAR recruitment and subsequent payload induction. ConclusionsCompared to current tools, the simplicity and flexibility of ADAR-Sense will streamline the design and screening of sesRNAs in new cell types and conditions, supporting the swift adoption of this sensing platform in both basic and translational research.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJiang '22Kolber '25Kaseniit '22Qian '22Yang '24Katrekar '21
77% semantic matchGenomics
Kaiyi Jiang, Jeremy G. Koob, Xi Dawn Chen+7 more·bioRxiv·Jan 26, 2022· 6 citations