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Adaptable, turn-on maturation (ATOM) fluorescent biosensors for multiplexed detection in cells
Harsimranjit Sekhon1, Jeung-Hoi Ha1, Maria F Presti1
1Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY, USA.
Nature Methods
|November 9, 2023
Summary
Researchers developed adaptable, turn-on maturation (ATOM) biosensors using fluorescent proteins. These single-molecule biosensors can be easily customized to detect specific targets within live cells.
Area of Science:
- Biotechnology
- Molecular Biology
- Cell Biology
Background:
- Developing adaptable biosensors for single-molecule detection is a significant challenge.
- Fluorescent protein-based biosensors offer potential for live-cell imaging but often lack easy customization.
- Existing biosensor platforms may not efficiently target specific subcellular compartments.
Purpose of the Study:
- To create a versatile, single-molecule fluorescent protein-based biosensor platform.
- To enable easy adaptation of biosensors for recognizing diverse molecular targets.
- To validate the biosensor's performance in live human cells and specific organelles.
Main Methods:
- Engineered adaptable, turn-on maturation (ATOM) biosensors by circularly permuting nanobodies and monobodies.
- Inserted these engineered proteins into fluorescent proteins at surface loops.
- Performed multiplexed imaging in live human cells coexpressing different colored ATOM sensors.
Main Results:
- ATOM biosensors demonstrated ligand-dependent chromophore maturation with high turn-on ratios (up to 62-fold in cells, 100-fold in vitro).
- Multiplexed imaging successfully detected specific targets localized to various subcellular compartments.
- Organelle-specific ATOM sensors (ER, mitochondria) accurately detected targeted ligands.
Conclusions:
- The adaptable, turn-on maturation (ATOM) biosensor platform provides a versatile tool for single-molecule detection.
- ATOM biosensors can be rapidly customized and applied to study specific targets in live cells and organelles.
- This technology advances biosensor design for molecular imaging and cellular biology research.

