Establishment of a NanoBiT-Based Cytosolic Ca Sensor by Optimizing Calmodulin-Binding Motif and Protein Expression Levels.

Cytosolic Ca levels ([Ca]) change dynamically in response to inducers, repressors, and physiological conditions, and aberrant [Ca] concentration regulation is associated with cancer, heart failure, and diabetes. Therefore, [Ca] is considered as a good indicator of physiological and pathological cellular responses, and is a crucial biomarker for drug discovery. A genetically encoded calcium indicator (GECI) was recently developed to measure [Ca] in single cells and animal models. GECI have some advantages over chemically synthesized indicators, although they also have some drawbacks such as poor signal-to-noise ratio (SNR), low positive signal, delayed response, artifactual responses due to protein overexpression, and expensive detection equipment. Here, we developed an indicator based on interactions between Ca-loaded calmodulin and target proteins, and generated an innovative GECI sensor using split nano-luciferase (Nluc) fragments to detect changes in [Ca]. Stimulation-dependent luciferase activities were optimized by combining large and small subunits of Nluc binary technology (NanoBiT, LgBiT:SmBiT) fusion proteins and regulating the receptor expression levels. We constructed the binary [Ca] sensors using a multicistronic expression system in a single vector linked via the internal ribosome entry site (IRES), and examined the detection efficiencies. Promoter optimization studies indicated that promoter-dependent protein expression levels were crucial to optimize SNR and sensitivity. This novel [Ca] assay has high SNR and sensitivity, is easy to use, suitable for high-throughput assays, and may be useful to detect [Ca] in single cells and animal models.