Quantal Release of Dopamine and Action Potential Firing Detected in Midbrain Neurons by Multifunctional Diamond-Based Microarrays.

amperometric detection diamond microelectrode arrays midbrain neurons quantal release spontaneous firing

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2019
Historique:
received: 10 01 2019
accepted: 11 03 2019
entrez: 27 4 2019
pubmed: 27 4 2019
medline: 27 4 2019
Statut: epublish

Résumé

Micro-Graphitic Single Crystal Diamond Multi Electrode Arrays (μG-SCD-MEAs) have so far been used as amperometric sensors to detect catecholamines from chromaffin cells and adrenal gland slices. Besides having time resolution and sensitivity that are comparable with carbon fiber electrodes, that represent the gold standard for amperometry, μG-SCD-MEAs also have the advantages of simultaneous multisite detection, high biocompatibility and implementation of amperometric/potentiometric protocols, aimed at monitoring exocytotic events and neuronal excitability. In order to adapt diamond technology to record neuronal activity, the μG-SCD-MEAs in this work have been interfaced with cultured midbrain neurons to detect electrical activity as well as quantal release of dopamine (DA). μG-SCD-MEAs are based on graphitic sensing electrodes that are embedded into the diamond matrix and are fabricated using MeV ion beam lithography. Two geometries have been adopted, with 4 × 4 and 8 × 8 microelectrodes (20 μm × 3.5 μm exposed area, 200 μm spacing). In the amperometric configuration, the 4 × 4 μG-SCD-MEAs resolved quantal exocytosis from midbrain dopaminergic neurons. KCl-stimulated DA release occurred as amperometric spikes of 15 pA amplitude and 0.5 ms half-width, at a mean frequency of 0.4 Hz. When used as potentiometric multiarrays, the 8 × 8 μG-SCD-MEAs detected the spontaneous firing activity of midbrain neurons. Extracellularly recorded action potentials (APs) had mean amplitude of ∼-50 μV and occurred at a mean firing frequency of 0.7 Hz in 67% of neurons, while the remaining fired at 6.8 Hz. Comparable findings were observed using conventional MEAs (0.9 and 6.4 Hz, respectively). To test the reliability of potentiometric recordings with μG-SCD-MEAs, the D

Identifiants

pubmed: 31024230
doi: 10.3389/fnins.2019.00288
pmc: PMC6465646
doi:

Types de publication

Journal Article

Langues

eng

Pagination

288

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Auteurs

Giulia Tomagra (G)

Department of Drug and Science Technology and "NIS" Inter-departmental Centre, University of Torino, Turin, Italy.

Federico Picollo (F)

Department of Physics and "NIS" Inter-departmental Centre, University of Torino, Turin, Italy.
Istituto Nazionale di Fisica Nucleare - Sezione di Torino, Turin, Italy.

Alfio Battiato (A)

Istituto Nazionale di Fisica Nucleare - Sezione di Torino, Turin, Italy.

Barbara Picconi (B)

Experimental Neurophysiology Laboratory, IRCCS San Raffaele Pisana, University San Raffaele, Rome, Italy.
University San Raffaele, Rome, Italy.

Silvia De Marchis (S)

Department of Life Sciences and Systems Biology and "NICO" Neuroscience Institute Cavalieri Ottolenghi, University of Torino, Turin, Italy.

Alberto Pasquarelli (A)

Institute of Electron Devices and Circuits, University of Ulm, Ulm, Germany.

Paolo Olivero (P)

Department of Physics and "NIS" Inter-departmental Centre, University of Torino, Turin, Italy.
Istituto Nazionale di Fisica Nucleare - Sezione di Torino, Turin, Italy.

Andrea Marcantoni (A)

Department of Drug and Science Technology and "NIS" Inter-departmental Centre, University of Torino, Turin, Italy.

Paolo Calabresi (P)

Neurological Clinic, Department of Medicine, Hospital Santa Maria della Misericordia, University of Perugia, Perugia, Italy.

Emilio Carbone (E)

Department of Drug and Science Technology and "NIS" Inter-departmental Centre, University of Torino, Turin, Italy.

Valentina Carabelli (V)

Department of Drug and Science Technology and "NIS" Inter-departmental Centre, University of Torino, Turin, Italy.

Classifications MeSH