A Genetically Encoded Calcium Ion Biosensor with an Exceptionally Large Ratiometric Response

The objective of this work was to overcome some of the long-standing limitations of ratiometric fluorescent protein (FP)-based Ca 2+ biosensors, which typically rely on Förster resonance energy transfer (FRET) between two FPs and generally exhibit only relatively modest Ca 2+ -dependent changes in emission ratio. To develop biosensors with substantially greater ratiometric changes, we explored an alternative biosensor design strategy in which two independently optimized intensiometric single FP-based Ca 2+ biosensors were hybridized into a single protein construct such that they employed a shared calmodulin (CaM) and CaM-binding peptide (CBP). By hybridizing a direct-response red FP-based biosensor with an inverse-response green FP-based biosensor, we created SuiCa, a single-polypeptide Ca 2+ biosensor that exhibits exceptionally large red-to-green ratiometric fluorescence changes as purified protein (∼60-fold) and when expressed in immortalized cell cultures (∼80-fold) and primary neurons (∼37-fold). Relative to co-expression of two spectrally distinct FP-based Ca 2+ biosensors, SuiCa provides the advantages of a smaller gene size, a fixed fluorophore stoichiometry, and a ratiometric response that depends on Ca 2+ binding to a single, shared, CaM plus CBP domain. With these advantages, along with its bright fluorescence and large ratiometric change, SuiCa represents a new addition to the Ca 2+ imaging toolbox.

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Publication Details

Journal
ACS Sensors
Published
2026-06-16
DOI
https://doi.org/10.1021/acssensors.6c00112
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A Genetically Encoded Calcium Ion Biosensor with an Exceptionally Large Ratiometric Response

Takuya Terai, Justin Daho Lee, Marina Musa, Sarah J. Wait et al.
ACS Sensors
Advanced biosensing and bioanalysis techniques
article

A Genetically Encoded Calcium Ion Biosensor with an Exceptionally Large Ratiometric Response

Takuya Terai, Justin Daho Lee, Marina Musa, Sarah J. Wait, Netta Smith, A. Berndt, S LI, Robert E. Campbell, Lily Torp, Aida Moghadasi, Yuxuan Wang, Kei Takahashi, Kelvin K. Tsao, Amanda An Nguyen
article en

Abstract

The objective of this work was to overcome some of the long-standing limitations of ratiometric fluorescent protein (FP)-based Ca 2+ biosensors, which typically rely on Förster resonance energy transfer (FRET) between two FPs and generally exhibit only relatively modest Ca 2+ -dependent changes in emission ratio. To develop biosensors with substantially greater ratiometric changes, we explored an alternative biosensor design strategy in which two independently optimized intensiometric single FP-based Ca 2+ biosensors were hybridized into a single protein construct such that they employed a shared calmodulin (CaM) and CaM-binding peptide (CBP). By hybridizing a direct-response red FP-based biosensor with an inverse-response green FP-based biosensor, we created SuiCa, a single-polypeptide Ca 2+ biosensor that exhibits exceptionally large red-to-green ratiometric fluorescence changes as purified protein (∼60-fold) and when expressed in immortalized cell cultures (∼80-fold) and primary neurons (∼37-fold). Relative to co-expression of two spectrally distinct FP-based Ca 2+ biosensors, SuiCa provides the advantages of a smaller gene size, a fixed fluorophore stoichiometry, and a ratiometric response that depends on Ca 2+ binding to a single, shared, CaM plus CBP domain. With these advantages, along with its bright fluorescence and large ratiometric change, SuiCa represents a new addition to the Ca 2+ imaging toolbox.

ACS Sensors
University of Washington (US), Institute for Stem Cell Biology and Regenerative Medicine (IN), Institute of Bioinformatics (IN), Université Laval (CA), Molecular Sciences Institute (US), The University of Tokyo (JP)
Mitsubishi Foundation, Japan Society for the Promotion of Science, National Institute of Neurological Disorders and Stroke, Core Research for Evolutional Science and Technology
Affordable and clean energy
Openalex Percentile: Top 12%
Advanced biosensing and bioanalysis techniques
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