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024 7 _ |a 10.1038/s41467-018-05896-w
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037 _ _ |a DZNE-2020-06499
041 _ _ |a English
082 _ _ |a 500
100 1 _ |a Savtchenko, Leonid P
|0 P:(DE-HGF)0
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|e Corresponding author
245 _ _ |a Disentangling astroglial physiology with a realistic cell model in silico.
260 _ _ |a [London]
|c 2018
|b Nature Publishing Group UK
264 _ 1 |3 online
|2 Crossref
|b Springer Science and Business Media LLC
|c 2018-09-03
264 _ 1 |3 print
|2 Crossref
|b Springer Science and Business Media LLC
|c 2018-12-01
336 7 _ |a article
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336 7 _ |a ARTICLE
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520 _ _ |a 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.
536 _ _ |a 342 - Disease Mechanisms and Model Systems (POF3-342)
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542 _ _ |i 2018-09-03
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|u https://creativecommons.org/licenses/by/4.0
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650 _ 7 |a Amino Acid Transport System X-AG
|2 NLM Chemicals
650 _ 7 |a Potassium Channels
|2 NLM Chemicals
650 _ 7 |a Calcium
|0 SY7Q814VUP
|2 NLM Chemicals
650 _ 2 |a Algorithms
|2 MeSH
650 _ 2 |a Amino Acid Transport System X-AG: metabolism
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Astrocytes: metabolism
|2 MeSH
650 _ 2 |a Astrocytes: physiology
|2 MeSH
650 _ 2 |a Calcium: metabolism
|2 MeSH
650 _ 2 |a Computer Simulation
|2 MeSH
650 _ 2 |a Hippocampus: cytology
|2 MeSH
650 _ 2 |a Membrane Potentials
|2 MeSH
650 _ 2 |a Models, Neurological
|2 MeSH
650 _ 2 |a Neurons: metabolism
|2 MeSH
650 _ 2 |a Patch-Clamp Techniques
|2 MeSH
650 _ 2 |a Potassium Channels: metabolism
|2 MeSH
650 _ 2 |a Proof of Concept Study
|2 MeSH
650 _ 2 |a Rats
|2 MeSH
650 _ 2 |a Software
|2 MeSH
700 1 _ |a Bard, Lucie
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700 1 _ |a Jensen, Thomas P
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700 1 _ |a Reynolds, James P
|0 P:(DE-HGF)0
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700 1 _ |a Kraev, Igor
|0 P:(DE-HGF)0
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700 1 _ |a Medvedev, Nikolay
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700 1 _ |a Stewart, Michael G
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700 1 _ |a Henneberger, Christian
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700 1 _ |a Rusakov, Dmitri A
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773 1 8 |a 10.1038/s41467-018-05896-w
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|t Nature Communications
|v 9
|y 2018
|x 2041-1723
773 _ _ |a 10.1038/s41467-018-05896-w
|g Vol. 9, no. 1, p. 3554
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856 4 _ |y OpenAccess
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LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21