My long-term goal is to understand the biological basis of visual processing at the level of neural circuits and synapses. I am pursuing this goal in the mammalian retina, where we can efficiently study the tissue's natural function in vitro; and where we have a basic understanding of the cell types that compose the circuits: 3-4 photoreceptors (rods and cones), ~50 interneurons (horizontal, bipolar and amacrine cells), and ~20 output neurons (ganglion cells). A major obstacle to understanding retinal circuitry is the unknown function of the majority of the ~40 types of amacrine cell. These (primarily) inhibitory interneurons play a major role in ganglion cell receptive field computations, but we presently have a fairly detailed understanding of just four types, specialized for rod vision (AII, A17), direction selectivity (starburst) and neuromodulation (dopaminergic). Hypothesized functions for the remaining 30+ types include feature selectivity (e.g., orientation tuning), generation of receptive field surrounds, 'cross-over' inhibition between the ON and OFF pathways, and feedforward inhibition within either the ON or OFF pathways. However, there are major barriers to understanding the role of amacrine cells in retinal circuitry: we lack the ability to assign specific functions to individual amacrine cell types, and in most cases we do not know a specific cell type's postsynaptic targets and its associated role in network function. To move the field forward, we propose to test between alternative hypothesized functions for novel amacrine cell circuits using an integrated, multidisciplinary approach.
Aim 1 will determine receptive field properties of genetically-identified amacrine cell types by recording Ca signals in their dendrites the sites of neurotransmitter release.
Aim 2 will determine a specific amacrine cell type's postsynaptic ganglion cell targets using optogenetics.
Aim 3 will determine the functional role of an amacrine cell type in the circuit by measuring how its reversible inactivation affects ganglion cell receptive field properties. The combination of these three approaches will provide major advances over existing methods for studying amacrine cells and should be broadly applicable to the study of neural circuit function throughout the mammalian central nervous system. Furthermore, studying the function of amacrine cells and their interconnections with other retinal neurons will contribute to the long-term goal of developing new diagnoses and treatments (i.e., optogenetic, prosthetic) for eye disease.

Public Health Relevance

Studying the function and organization of healthy retinal circuits will facilitate our understanding of how these circuits are impacted by eye diseases. For example, networks of retinal interneurons, including many types of amacrine cell, are disrupted in mouse models of retinitis pigmentosa and diabetic retinopathy. Furthermore, understanding the role of amacrine cells in retinal processing could facilitate the development of prostheses and optogenetic treatments for eye disease.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY014454-13
Application #
8989991
Study Section
Neurotransporters, Receptors, and Calcium Signaling Study Section (NTRC)
Program Officer
Greenwell, Thomas
Project Start
2002-12-01
Project End
2018-12-31
Budget Start
2016-01-01
Budget End
2016-12-31
Support Year
13
Fiscal Year
2016
Total Cost
$374,625
Indirect Cost
$149,625
Name
Yale University
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
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Park, Silvia J H; Pottackal, Joseph; Ke, Jiang-Bin et al. (2018) Convergence and Divergence of CRH Amacrine Cells in Mouse Retinal Circuitry. J Neurosci 38:3753-3766
Demb, Jonathan B; Clark, Damon A (2017) Vision: These retinas are made for walkin'. Nature 546:476-477
Cui, Yuwei; Wang, Yanbin V; Park, Silvia J H et al. (2016) Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells. Elife 5:
Clark, Damon A; Demb, Jonathan B (2016) Parallel Computations in Insect and Mammalian Visual Motion Processing. Curr Biol 26:R1062-R1072
Byun, Haewon; Kwon, Soohyun; Ahn, Hee-Jeong et al. (2016) Molecular features distinguish ten neuronal types in the mouse superficial superior colliculus. J Comp Neurol 524:2300-21
Demb, Jonathan B; Singer, Joshua H (2015) Functional Circuitry of the Retina. Annu Rev Vis Sci 1:263-289
Park, Silvia J H; Borghuis, Bart G; Rahmani, Pouyan et al. (2015) Function and Circuitry of VIP+ Interneurons in the Mouse Retina. J Neurosci 35:10685-700
Stafford, Benjamin K; Manookin, Michael B; Singer, Joshua H et al. (2014) NMDA and AMPA receptors contribute similarly to temporal processing in mammalian retinal ganglion cells. J Physiol 592:4877-89
Stafford, Benjamin K; Park, Silvia J H; Wong, Kwoon Y et al. (2014) Developmental changes in NMDA receptor subunit composition at ON and OFF bipolar cell synapses onto direction-selective retinal ganglion cells. J Neurosci 34:1942-8

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