Literature DB >> 17499109

The cellular, molecular and ionic basis of GABA(A) receptor signalling.

Mark Farrant1, Kai Kaila.   

Abstract

GABA(A) receptors mediate fast synaptic inhibition in the CNS. Whilst this is undoubtedly true, it is a gross oversimplification of their actions. The receptors themselves are diverse, being formed from a variety of subunits, each with a different temporal and spatial pattern of expression. This diversity is reflected in differences in subcellular targetting and in the subtleties of their response to GABA. While activation of the receptors leads to an inevitable increase in membrane conductance, the voltage response is dictated by the distribution of the permeant Cl(-) and HCO(3)(-) ions, which is established by anion transporters. Similar to GABA(A) receptors, the expression of these transporters is not only developmentally regulated but shows cell-specific and subcellular variation. Untangling all these complexities allows us to appreciate the variety of GABA-mediated signalling, a diverse set of phenomena encompassing both synaptic and non-synaptic functions that can be overtly excitatory as well as inhibitory.

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Year:  2007        PMID: 17499109     DOI: 10.1016/S0079-6123(06)60005-8

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  162 in total

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Authors:  A E Herbison; S M Moenter
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4.  GABA-mediated spatial and temporal asymmetries that contribute to the directionally selective light responses of starburst amacrine cells in retina.

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Review 6.  Neurogliaform cells and other interneurons of stratum lacunosum-moleculare gate entorhinal-hippocampal dialogue.

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7.  Another Look at Early GABAergic Neurotransmission: Maybe It's Not So Exciting After All!

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8.  Towards bridging the gap between acid-base transporters and neuronal excitability modulation.

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Journal:  Int J Physiol Pathophysiol Pharmacol       Date:  2014-12-15

9.  Prenatal immune activation induces maturation-dependent alterations in the prefrontal GABAergic transcriptome.

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10.  Biophysical Modeling Suggests Optimal Drug Combinations for Improving the Efficacy of GABA Agonists after Traumatic Brain Injuries.

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Journal:  J Neurotrauma       Date:  2019-01-08       Impact factor: 5.269

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