A Small‐Molecule Approach Enables RNA Aptamers to Function as Sensors for Reactive Inorganic Targets
Fluorescent light-up aptamer (FLAP) systems are promising (bio)sensing platforms that are genetically encodable. However, FLAP-mediated detection of each distinct target necessitates either in vitro selection or engineering of nucleic acid sequences. Furthermore, an aptamer that binds an inorganic target or a chemical species with a short lifetime is challenging to realize. Here, we describe a small-molecule approach that makes it possible for a single FLAP system to detect chemically unique, non-fluorogenic, and reactive inorganics. We developed functionalized pre-ligands of RNA aptamers that bind benzylidene imidazolinones (Baby Spinach, Broccolli, Squash). Reactive inorganics, hydrogen sulfide (H<sub>2</sub>S/HS<sup>-</sup>) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), can specifically convert these pre-ligands into native ligands that fluoresce with FLAPs. Adaptation of this platform to live cells opened an opportunity for constructing whole-cell sensors: Escherichia coli transformed with a Baby Spinach-encoding plasmid and incubated with pre-ligands generated fluorescence in response to exogenous H<sub>2</sub>S/HS<sup>-</sup> or H<sub>2</sub>O<sub>2</sub>. Leveraging the functional group reactivity of small molecules eliminates the requirement of in vitro selection of a new aptamer sequence or oligonucleotide scaffold engineering for distinct molecular targets. Our method allows for detecting inorganic, short-lived species, thereby advancing FLAP systems beyond their current capabilities.
Authors
- Sarah Cho
- Tushar Aggarwal (ORCID: https://orcid.org/0000-0002-6641-0964)
- Huseyin Erguven (ORCID: https://orcid.org/0000-0002-8415-4722)
- Enver Çagrı Izgü (ORCID: https://orcid.org/0000-0001-6673-3635)
- Liming Wang (ORCID: https://orcid.org/0000-0003-0914-6113)
- Hakan Güven
- Bryan Gutierrez
Institutions
- Rutgers, The State University of New Jersey (US)
Publication Details
- Journal
- Angewandte Chemie International Edition
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1002/anie.202421936
- Citations
- 3
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Rutgers Cancer Institute of New Jersey
- National Institutes of Health
- Office of Advanced Research Computing, Rutgers, The State University of New Jersey
- National Cancer Institute