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Updated: Jan 2, 2026

A Plate-Based Assay for the Measurement of Endogenous Monoamine Release in Acute Brain Slices

A Plate-Based Assay for the Measurement of Endogenous Monoamine Release in Acute Brain Slices

Published on: August 11, 2021

Data showing regional differences in rat brain monoaminergic function.

A J D Nelson^1,2, H J Cassaday¹

¹School of Psychology, University of Nottingham, UK.

|December 3, 2019

Summary

This summary is machine-generated.

This study presents a large dataset of neurotransmitter levels in control brain samples. The data allows exploration of normal interrelationships between dopamine, serotonin, and other monoamines across brain regions relevant to reward, addiction, and schizophrenia.

Keywords:

HPLC-ECD Monoamines Nucleus accumbens Prefrontal cortex Rat

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Last Updated: Jan 2, 2026

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Published on: August 11, 2021

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Assessment of Dopaminergic Homeostasis in Mice by Use of High-performance Liquid Chromatography Analysis and Synaptosomal Dopamine Uptake

Published on: September 21, 2017

Area of Science:

Neuroscience
Biochemistry
Pharmacology

Background:

Chemical neurotransmitters like dopamine are crucial for cognitive functions.
Ascending projections of neurotransmitters influence various cortical and sub-cortical brain regions.
Limited baseline data exists for neurotransmitter levels in control brain samples.

Purpose of the Study:

To describe and provide access to a large dataset (N=112) of neurotransmitter levels from control brain samples.
To enable exploration of normal interrelationships between neurotransmitters (dopamine, serotonin) across key brain regions.
To facilitate research into reward, drug addiction, and neurological disorders like schizophrenia.

Main Methods:

Compiled data from a series of experimental in vivo studies using control (untreated) brain samples.
Focused on selected brain regions of a priori interest, including nucleus accumbens and prefrontal cortex.
Ensured consistency by using closely similar behavioral procedures and samples from the same laboratory.

Main Results:

The dataset reveals normal interrelationships between neurotransmitter levels across different brain regions.
It allows for the exploration of monoamine and metabolite distribution patterns.
Analysis considers intercorrelations within and between brain structures, including laterality effects.

Conclusions:

The freely available dataset addresses the lack of baseline data for neurotransmitter levels.
It serves as a valuable resource for understanding normal brain function and its alterations in disorders.
Researchers can utilize this data to investigate neurotransmitter dynamics in reward, addiction, and schizophrenia.