Sample collection and amino acids analysis of extracellular fluid of mouse brain slices with low flow push–pull perfusion

Literature Information

Publication Date 2015-08-18
DOI 10.1039/C5AN00805K
Impact Factor 4.616
Authors

G. Ojeda-Torres, L. Williams


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Abstract

Brain tissue slices are a common neuroscience model that allows relatively sophisticated analysis of neuronal networks in a simplified preparation. Most experimental methodology utilizes electrophysiological tools to probe these model systems. The work here demonstrates the adaptation of low-flow push–pull perfusion sampling (LFPS) to a brain slice system. LFPS is used to sample from the hippocampus of mouse brain slices. Perfusate amino acid levels are quantified following sampling with capillary electrophoresis. Glutamate was measured from the CA1 region of the hippocampus in slices taken from a cystine-glutamate transporter deletion mutant, xCT−/−, and the background strain C57BL/6J. Sampling is performed over up to 6.5 h with standard tissue slice preparation and experimentation methods. Four amino acids were quantified to demonstrate the ability to perform LFPS and show good agreement with published literature. Perfusate glutamate levels are found to be significantly lower with xCT−/− slices (1.9(±0.5) μM) relative to controls (4.90(±1.1) μM). But, experiments with control slices show a significant decrease in glutamate over the 6 h sampling period that are not seen with xCT−/− slices. Increasing the LFPS sample collection rate during the first 90 min of sampling did not show a sampling artifact in perfusate glutamate content. Sampling immediately following slicing did not show an early increasing glutamate level that would be indicative of a significant contribution from blood or tissue damage. The data presented here show a complementarity to electrophysiological studies of tissue slices. The ability to characterize extracellular fluid chemical content with LFPS in these slices provides an alternative data stream for probing neurochemical signaling networks in brain tissue slices.

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