henhaobio
Sign in

bioRxivSynthetic BiologyPreprint

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

PDFDOI

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.

Citations
0

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