Home
Browse
Search
Latest additions
Policies
FAQ
About Open Access
GABAergic control of retinal ganglion cell dendritic development
Lookup NU author(s)
Francois Chabrol
Dr Evelyne Sernagor
Author(s)
Chabrol F, Eglen SJ, Sernagor E
Publication type
Article
Journal
Neuroscience
Year
2012
Volume
227
Issue
Pages
30-43
ISSN (print)
0306-4522
ISSN (electronic)
1873-7544
Full text is available for this publication:
Full text file 1
Developing GABAergic neurons mature long before excitatory neurons, and early GABA
A
activity exerts important paracrine effects while neurons extend dendrites and axons and they establish neural connections. One of the unique features of early GABA
A
activity is that it induces membrane depolarization and Ca
2+
influx and it shifts to inhibition when networks mature. Although it has been demonstrated in several systems that early GABA
A
signalling plays a fundamental role in guiding neurite outgrowth, it has never been investigated in the retina. Here we show that chronic GABAergic activity is required for the stabilization and maintenance of newly formed dendritic branches in developing turtle retinal ganglion cells (RGCs)
in ovo
. Blocking GABA
A
receptors with bicuculline or inhibiting GABA synthesis with L-allylglycine have contrasting effects on dendritic growth and branching in biocytin-labeled RGCs. Dendritic arbor reconstruction shows that bicuculline induces dendritic branch loss without global change in the extent of dendritic fields whilst L-allylglycine causes the entire tree to shrink. At the same time, multielectrode array recordings and Ca
2+
imaging show that L-allylglycine has similar effects to bicuculline (Leitch et al., 2005) on overall network excitability, preventing the disappearance of immature retinal waves of activity and the GABAergic polarity shift. This study demonstrates for the first time that GABA plays an important role
in vivo
in stabilizing developing dendrites into mature arbors in the retina. However, the way GABA influences dendritic growth appears to be driven by complex mechanisms that cannot be explained solely on the basis of overall network activity levels.
Publisher
Pergamon
URL
http://dx.doi.org/10.1016/j.neuroscience.2012.09.040
DOI
10.1016/j.neuroscience.2012.09.040
Actions