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Cited by 488

The DOI matches its Crossref record; 367 of the 367 references it cites were found in a registry or an index.

Localization and Targeting of Voltage-Dependent Ion Channels in Mammalian Central Neurons

Open access
Vacher, Helene, Mohapatra, Durga P., Trimmer, James S.·2008·Physiological Reviews
DOI 10.1152/physrev.00002.2008
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Abstract

The intrinsic electrical properties and the synaptic input-output relationships of neurons are governed by the action of voltage-dependent ion channels. The localization of specific populations of ion channels with distinct functional properties at discrete sites in neurons dramatically impacts excitability and synaptic transmission. Molecular cloning studies have revealed a large family of genes encoding voltage-dependent ion channel principal and auxiliary subunits, most of which are expressed in mammalian central neurons. Much recent effort has focused on determining which of these subunits coassemble into native neuronal channel complexes, and the cellular and subcellular distributions of these complexes, as a crucial step in understanding the contribution of these channels to specific aspects of neuronal function. Here we review progress made on recent studies aimed to determine the cellular and subcellular distribution of specific ion channel subunits in mammalian brain neurons using in situ hybridization and immunohistochemistry. We also discuss the repertoire of ion channel subunits in specific neuronal compartments and implications for neuronal physiology. Finally, we discuss the emerging mechanisms for determining the discrete subcellular distributions observed for many neuronal ion channels.

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Crossref · 10.1152/physrev.00002.2008

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Metadata

Authors
Vacher, H., Mohapatra, D. P., & Trimmer, J. S.
Venue
Physiological Reviews
Publisher
American Physiological Society
Published
2008-10
Volume
88
Issue
4
Pages
1407-1447
ISSN
  • 0031-9333 (ISSN-L)
  • 1522-1210
DOI
10.1152/physrev.00002.2008
OpenAlex
W2020662075
Cited by
488
References
367
FWCI
1.79
Type
journal article
Language
en
Open access
green

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