A Monochromatically Excitable Green-Red Dual-Fluorophore Fusion Incorporating a New Large Stokes Shift Fluorescent Protein.

Genetically encoded sensors enable quantitative imaging of analytes in live cells. Sensors are commonly constructed by combining ligand-binding domains with one or more sensitized fluorescent protein (FP) domains. Sensors based on a single FP can be susceptible to artifacts caused by changes in sensor levels or distribution in vivo. To develop intensiometric sensors with the capacity for ratiometric quantification, dual-FP Matryoshka sensors were generated by using a single cassette with a large Stokes shift (LSS) reference FP nested within the reporter FP (cpEGFP). Here, we present a genetically encoded calcium sensor that employs green apple (GA) Matryoshka technology by incorporating a newly designed red LSSmApple fluorophore. LSSmApple matures faster and provides an optimized excitation spectrum overlap with cpEGFP, allowing for monochromatic coexcitation with blue light. The LSS of LSSmApple results in improved emission spectrum separation from cpEGFP, thereby minimizing fluorophore bleed-through and facilitating imaging using standard dichroic and red FP (RFP) emission filters. We developed an image analysis pipeline for yeast (Saccharomyces cerevisiae) timelapse imaging that utilizes LSSmApple to segment and track cells for high-throughput quantitative analysis. In summary, we engineered a new FP, constructed a genetically encoded calcium indicator (GA-MatryoshCaMP6s), and performed calcium imaging in yeast as a demonstration.

Affinity Purification of GO-Matryoshka Biosensors from E. coli for Quantitative Ratiometric Fluorescence Analyses.

Genetically encoded biosensors are powerful tools for quantitative visualization of ions and metabolites in vivo. Design and optimization of such biosensors typically require analyses of large numbers of variants. Sensor properties determined in vitro such as substrate specificity, affinity, response range, dynamic range, and signal-to-noise ratio are important for evaluating in vivo data. This protocol provides a robust methodology for in vitro binding assays of newly designed sensors. Here we present a detailed protocol for purification and in vitro characterization of genetically encoded sensors, exemplified for the His affinity-tagged GO-(Green-Orange) MatryoshCaMP6s calcium sensor. GO-Matryoshka sensors are based on single-step insertion of a cassette containing two nested fluorescent proteins, circularly permutated fluorescent green FP (cpGFP) and Large Stoke Shift LSSmOrange, within the binding protein of interest, producing ratiometric sensors that exploit the analyte-triggered change in fluorescence of a cpGFP.