The role of electrical synaptic plasticity in retinal function

NIH RePORTER · NIH · R21 · $183,802 · view on reporter.nih.gov ↗

Abstract

Project Summary Neurons of the central nervous system are organized into networks through a variety of synaptic interactions. Electrical synapses, formed by gap junctions between neurons, are a core component of this organization. Electrical synapses can synchronize activity of networks of the same neuron type and provide rapid, bi-directional electrical communication between neurons of different type. These properties are critical for many high-order network functions of the central nervous system. Electrical synapses are not static, but are tightly regulated. Changes in phosphorylation state of connexin 36 (Cx36) in some retinal neurons modify coupling quantitatively over more than an order of magnitude dynamic range. Such changes in coupling are a stereotyped element of retinal light adaptation, and many electrically coupled retinal networks are held in a very poorly coupled state during the daytime to optimize their function. The vast majority of electrical synapses throughout the central nervous system are composed of Cx36. ALL of these synapses are capable of the same scale of plasticity, but very little is known about the plasticity of most networks or their functional state. This project explores the hypothesis that optimal function of electrically coupled networks is often best served by weak coupling. To test this hypothesis we will develop conditional mutant mice in which the electrical synapses are locked in an open state by point mutations that mimic phosphorylation of Cx36. This should cause unusually high coupling in most networks affected. These animals will be used to determine the impact of strong coupling of neural networks in the retina in the daytime on visual functions and behavior. Further studies will examine specifically the necessity to use electrical synaptic plasticity to reconfigure rod visual pathways in the daytime to optimize ganglion cell responses in photopic light. This animal model will be useful to study plasticity of electrical coupling in most other circuits in the central nervous system. It will have further utility in studies of the role of gap junctional coupling in bystander cell death in brain injuries and diseases.

Key facts

NIH application ID
10064771
Project number
3R21EY027965-02S1
Recipient
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
Principal Investigator
JOHN O'BRIEN
Activity code
R21
Funding institute
NIH
Fiscal year
2020
Award amount
$183,802
Award type
3
Project period
2020-02-01 → 2021-01-31