Author
Listed:
- Leonid P. Savtchenko
(UCL Institute of Neurology, University College London)
- Lucie Bard
(UCL Institute of Neurology, University College London)
- Thomas P. Jensen
(UCL Institute of Neurology, University College London)
- James P. Reynolds
(UCL Institute of Neurology, University College London)
- Igor Kraev
(The Open University)
- Nikolay Medvedev
(The Open University)
- Michael G. Stewart
(The Open University)
- Christian Henneberger
(UCL Institute of Neurology, University College London
German Center of Neurodegenerative Diseases (DZNE)
Institute of Cellular Neurosciences, University of Bonn Medical School)
- Dmitri A. Rusakov
(UCL Institute of Neurology, University College London)
Abstract
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.
Suggested Citation
Leonid P. Savtchenko & Lucie Bard & Thomas P. Jensen & James P. Reynolds & Igor Kraev & Nikolay Medvedev & Michael G. Stewart & Christian Henneberger & Dmitri A. Rusakov, 2018.
"Disentangling astroglial physiology with a realistic cell model in silico,"
Nature Communications, Nature, vol. 9(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05896-w
DOI: 10.1038/s41467-018-05896-w
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