Literature DB >> 26248886

Computational modeling of extracellular dopamine kinetics suggests low probability of neurotransmitter release.

Katherine E Rooney1, Lane J Wallace1,2.   

Abstract

Dopamine in the striatum signals the saliency of current environmental input and is involved in learned formation of appropriate responses. The regular baseline-firing rate of dopaminergic neurons suggests that baseline dopamine is essential for proper brain function. The first goal of the study was to estimate the likelihood of full exocytotic dopamine release associated with each firing event under baseline conditions. A computer model of extracellular space associated with a single varicosity was developed using the program MCell to estimate kinetics of extracellular dopamine. Because the literature provides multiple kinetic values for dopamine uptake depending on the system tested, simulations were run using different kinetic parameters. With all sets of kinetic parameters evaluated, at most, 25% of a single vesicle per varicosity would need to be released per firing event to maintain a 5-10 nM extracellular dopamine concentration, the level reported by multiple microdialysis experiments. The second goal was to estimate the fraction of total amount of stored dopamine released during a highly stimulated condition. This was done using the same model system to simulate published measurements of extracellular dopamine following electrical stimulation of striatal slices in vitro. The results suggest the amount of dopamine release induced by a single electrical stimulation may be as large as the contents of two vesicles per varicosity. We conclude that dopamine release probability at any particular varicosity is low. This suggests that factors capable of increasing release probability could have a powerful effect on sculpting dopamine signals.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  DAT; computational model; dopamine; striatum

Mesh:

Substances:

Year:  2015        PMID: 26248886     DOI: 10.1002/syn.21845

Source DB:  PubMed          Journal:  Synapse        ISSN: 0887-4476            Impact factor:   2.562


  4 in total

1.  Computational cell analysis for label-free detection of cell properties in a microfluidic laminar flow.

Authors:  Alex Ce Zhang; Yi Gu; Yuanyuan Han; Zhe Mei; Yu-Jui Chiu; Lina Geng; Sung Hwan Cho; Yu-Hwa Lo
Journal:  Analyst       Date:  2016-06-20       Impact factor: 4.616

2.  Heterogeneities in Axonal Structure and Transporter Distribution Lower Dopamine Reuptake Efficiency.

Authors:  Cihan Kaya; Mary H Cheng; Ethan R Block; Tom M Bartol; Terrence J Sejnowski; Alexander Sorkin; James R Faeder; Ivet Bahar
Journal:  eNeuro       Date:  2018-02-05

3.  Plasticity in striatal dopamine release is governed by release-independent depression and the dopamine transporter.

Authors:  Mark D Condon; Nicola J Platt; Yan-Feng Zhang; Bradley M Roberts; Michael A Clements; Stefania Vietti-Michelina; Min-Yee Tseu; Katherine R Brimblecombe; Sarah Threlfell; Edward O Mann; Stephanie J Cragg
Journal:  Nat Commun       Date:  2019-09-19       Impact factor: 14.919

4.  Dopamine release, diffusion and uptake: A computational model for synaptic and volume transmission.

Authors:  Kathleen Wiencke; Annette Horstmann; David Mathar; Arno Villringer; Jane Neumann
Journal:  PLoS Comput Biol       Date:  2020-11-30       Impact factor: 4.475

  4 in total

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