Semantic Scholar Open Access 2018 93 sitasi

Disentangling astroglial physiology with a realistic cell model in silico

L. Savtchenko Lucie Bard Thomas P. Jensen James P. Reynolds I. Kraev +4 lainnya

Abstrak

Electrically non-excitable astroglia take up neurotransmitters, buffer extracellular K+ and generate Ca2+ signals that release molecular regulators of neural circuitry. The underlying machinery remains enigmatic, mainly because the sponge-like astrocyte morphology has been difficult to access experimentally or explore theoretically. Here, we systematically incorporate multi-scale, tri-dimensional astroglial architecture into a realistic multi-compartmental cell model, which we constrain by empirical tests and integrate into the NEURON computational biophysical environment. This approach is implemented as a flexible astrocyte-model builder ASTRO. As a proof-of-concept, we explore an in silico astrocyte to evaluate basic cell physiology features inaccessible experimentally. Our simulations suggest that currents generated by glutamate transporters or K+ channels have negligible distant effects on membrane voltage and that individual astrocytes can successfully handle extracellular K+ hotspots. We show how intracellular Ca2+ buffers affect Ca2+ waves and why the classical Ca2+ sparks-and-puffs mechanism is theoretically compatible with common readouts of astroglial Ca2+ imaging. Astrocytes have gained increasing attention for their roles in regulating neural circuits via neurotransmitter uptake, K + buffering, and ability to signal via Ca2 + transients. Here, the authors develop a computational modelling environment for astrocytes, akin to the NEURON environment, called ASTRO.

Topik & Kata Kunci

Penulis (9)

L

L. Savtchenko

L

Lucie Bard

T

Thomas P. Jensen

J

James P. Reynolds

I

I. Kraev

N

N. Medvedev

M

M. Stewart

C

C. Henneberger

D

D. Rusakov

Format Sitasi

Savtchenko, L., Bard, L., Jensen, T.P., Reynolds, J.P., Kraev, I., Medvedev, N. et al. (2018). Disentangling astroglial physiology with a realistic cell model in silico. https://doi.org/10.1038/s41467-018-05896-w

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41467-018-05896-w
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
93×
Sumber Database
Semantic Scholar
DOI
10.1038/s41467-018-05896-w
Akses
Open Access ✓