Real-time functional characterization of cationic amino acid transporters using a new FRET sensor

Abstract

L-arginine is a semi-essential amino acid that serves as precursor for the production of urea, nitric oxide (NO), polyamines, and other biologically important metabolites. Hence, a fast and reliable assessment of its intracellular concentration changes is highly desirable. Here, we report on a genetically encoded Förster resonance energy transfer (FRET)-based arginine nanosensor that employs the arginine repressor/activator ahrC gene from Bacillus subtilis. This new nanosensor was expressed in HEK293T cells, and experiments with cell lysate showed that it binds L-arginine with high specificity and with a K d of ∼177 μM. Live imaging experiments showed that the nanosensor was expressed throughout the cytoplasm and displayed a half maximal FRET increase at an extracellular L-arginine concentration of ∼22 μM. By expressing the nanosensor together with SLC7A1, SLC7A2B, or SLC7A3 cationic amino acid transporters (CAT1-3), it was shown that L-arginine was imported at a similar rate via SLC7A1 and SLC7A2B and slower via SLC7A3. In contrast, upon withdrawal of extracellular L-arginine, intracellular levels decreased as fast in SLC7A3-expressing cells compared with SLC7A1, but the efflux was slower via SLC7A2B. SLC7A4 (CAT4) could not be convincingly shown to transport L-arginine. We also demonstrated the impact of membrane potential on L-arginine transport and showed that physiological concentrations of symmetrical and asymmetrical dimethylarginine do not significantly interfere with L-arginine transport through SLC7A1. Our results demonstrate that the FRET nanosensor can be used to assess L-arginine transport through plasma membrane in real time.

Keywords: ADMA; CATs; FRET sensor; L-arginine transport; Membrane potential; SDMA.