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Live-Cell Transforms between Ca²⁺ Transients and FRET Responses for a Troponin-C-Based Ca²⁺ Sensor

Lai Hock Tay ^*, Oliver Griesbeck  and David T. Yue ^* 

^* Calcium Signals Laboratory, Department of Biomedical Engineering, and Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland; and AG Zelluläre Dynamik, Max-Planck-Institut für Neurobiologie, Martinsried, Germany

Correspondence: Address reprint requests to David T. Yue, E-mail: dyue{at}bme.jhu.edu.

Genetically encoded Ca²⁺ sensors promise sustained in vivo detection of Ca²⁺ signals. However, these sensors are sometimes challenged by inconsistent performance and slow/uncertain kinetic responsiveness. The former challenge may arise because most sensors employ calmodulin (CaM) as the Ca²⁺-sensing module, such that interference via endogenous CaM may result. One class of sensors that could minimize this concern utilizes troponin C as the Ca²⁺ sensor. Here, we therefore probed the reliability and kinetics of one representative of this class (cyan fluorescence protein/yellow fluorescent protein-fluorescence resonance energy transfer (FRET) sensor TN-L15) within cardiac ventricular myocytes. These cells furnished a pertinent live-cell test environment, given substantial endogenous CaM levels and fast reproducible Ca²⁺ transients for testing sensor kinetics. TN-L15 was virally expressed within myocytes, and Indo-1 acutely loaded to monitor "true" Ca²⁺ transients. This configuration permitted independent and simultaneous detection of TN-L15 and Indo-1 signals within individual cells. The relation between TN-L15 FRET responses and Indo-1 Ca²⁺ transients appeared reproducible, though FRET signals were delayed compared to Ca²⁺ transients. Nonetheless, a three-state mechanism sufficed to map between measured Ca²⁺ transients and actual TN-L15 outputs. Overall, reproducibility of TN-L15 dynamics, coupled with algorithmic transforms between FRET and Ca²⁺ signals, renders these sensors promising for quantitative estimation of Ca²⁺ dynamics in vivo.

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