Counting the Number of Glutamate Molecules in Single Synaptic Vesicles.

Analytical tools for quantitative measurements of glutamate, the principal excitatory neurotransmitter in the brain, are lacking. Here, we introduce a new enzyme-based amperometric sensor technique for the counting of glutamate molecules stored inside single synaptic vesicles. In this method, an ultra-fast enzyme-based glutamate sensor is placed into a solution of isolated synaptic vesicles, which stochastically rupture at the sensor surface in a potential-dependent manner at a constant negative potential. The continuous amperometric signals are sampled at high speed (10 kHz) to record sub-millisecond spikes, which represent glutamate release from single vesicles that burst open. Glutamate quantification is achieved by a calibration curve that is based on measurements of glutamate release from vesicles pre-filled with various glutamate concentrations. Our measurements show that an isolated single synaptic vesicle encapsulates about 8000 glutamate molecules and is comparable to the measured exocytotic quantal glutamate release in amperometric glutamate sensing in the nucleus accumbens of mouse brain tissue. Hence, this new methodology introduces the means to quantify ultra-small amounts of glutamate and to study synaptic vesicle physiology, pathogenesis, and drug treatments for neuronal disorders where glutamate is involved.

Artificial Cells for Dissecting Exocytosis.

The fusion of vesicles and exocytosis release of neurotransmitters into the extracellular space for detection and chemical signal decoding by neighboring cells is the key process in neuronal communication. It is important to understand what regulates exocytosis because the amount of neurotransmitters released into the synaptic cleft has a direct impact on brain function such as cognition learning and memory as well as on brain malfunctions. Much success in molecular biology can be credited for the existence of simplified model systems. Therefore, for gaining deeper insights into the details of exocytosis and what controls vesicle-mediated neurotransmission, functional artificial cells for exocytosis have been developed that can be used for studying various biophysical aspects and roles of molecules affecting exocytosis, which is difficult to study in living cells. Here, we describe the design and fabrication of specific artificial cell models and how chemical measurements at these cells can be implemented for probing dynamics of the exocytosis fusion pore and its effect on the regulation of neurochemical release. We introduce bottom-up synthetic methods for constructing model cells using protein-free giant unilamellar vesicles (GUV) as starting material, which allows further tuning of molecular complexity in a manner that is not possible in living cells and therefore can be used for dissecting the role of essential molecular components affecting the exocytosis process. The experimental setup uses microscopy video recording, micromanipulation and microelectroinjection techniques, and amperometry detection to study neurotransmitter release from these cells mimicking exocytosis.

Amperometric detection of single vesicle acetylcholine release events from an artificial cell.

Acetylcholine is a highly abundant nonelectroactive neurotransmitter in the mammalian central nervous system. Neurochemical release occurs on the millisecond time scale, requiring a fast, sensitive sensor such as an enzymatic amperometric electrode. Typically, the enzyme used for enzymatic electrochemical sensors is applied in excess to maximize signal. Here, in addition to sensitivity, we have also sought to maximize temporal resolution, by designing a sensor that is sensitive enough to work at near monolayer enzyme coverage. Reducing the enzyme layer thickness increases sensor temporal resolution by decreasing the distance and reducing the diffusion time for the enzyme product to travel to the sensor surface for detection. In this instance, the sensor consists of electrodeposited gold nanoparticle modified carbon fiber microelectrodes (CFMEs). Enzymes often are sensitive to curvature upon surface adsorption; thus, it was important to deposit discrete nanoparticles to maintain enzyme activity while depositing as much gold as possible to maximize enzyme coverage. To further enhance sensitivity, the enzymes acetylcholinesterase (AChE) and choline oxidase (ChO) were immobilized onto the gold nanoparticles at the previously determined optimal ratio (1:10 AChE/ChO) for most efficient sequential enzymatic activity. This optimization approach has enabled the rapid detection to temporally resolve single vesicle acetylcholine release from an artificial cell. The sensor described is a significant advancement in that it allows for the recording of acetylcholine release on the order of the time scale for neurochemical release in secretory cells.