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Amacrine cell-mediated input to bipolar cells: Variations on a common mechanistic theme

Published online by Cambridge University Press:  06 February 2012

WILLIAM N. GRIMES*
Affiliation:
Department of Physiology and Biophysics, Howard Hughes Medical Institute, University of Washington, Seattle, Washington
*
†Address correspondence and reprint requests to: William N. Grimes, Department of Physiology and Biophysics, Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195. E-mail: wgrimes8@gmail.com
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Abstract

Feedback is a ubiquitous feature of neural circuits in the mammalian central nervous system (CNS). Analogous to pure electronic circuits, neuronal feedback provides either a positive or negative influence on the output of upstream components/neurons. Although the particulars (i.e., connectivity, physiological encoding/processing/signaling) of circuits in higher areas of the brain are often unclear, the inner retina proves an excellent model for studying both the anatomy and physiology of feedback circuits within the functional context of visual processing. Inner retinal feedback to bipolar cells is almost entirely mediated by a single class of interneurons, the amacrine cells. Although this might sound like a simple circuit arrangement with an equally simple function, anatomical, molecular, and functional evidence suggest that amacrine cells represent an extremely diverse class of CNS interneurons that contribute to a variety of retinal processes. In this review, I classify the amacrine cells according to their anatomical output synapses and target cell(s) (i.e., bipolar cells, ganglion cells, and/or amacrine cells) and discuss specifically our current understandings of amacrine cell-mediated feedback and output to bipolar cells on the synaptic, cellular, and circuit levels, while drawing connections to visual processing.

Information

Type
Review Article
Copyright
Copyright © Cambridge University Press 2012
Figure 0

Fig. 1. To date, amacrine cell studies have revealed a diversity of circuit functions and cellular physiologies, but lack of information regarding many of the subtypes leaves classification schemes open to interpretation. The stratification (A), primary neurotransmitter (B), morphological features (C), and primary synaptic output targets (D) of the three best characterized amacrine cells (A17, starburst, and AII) exemplify the diverse nature of amacrine cell subtypes and physiologies. (A) All layers of the inner plexiform layer (IPL) are innervated by neurites of various amacrine cell subtypes. Adapted from Masland (1988). (B) Amacrine cells can be subdivided roughly in half according to molecular expression and identification of the inhibitory neurotransmitters, GABA or glycine (adapted from Strettoi & Masland, 1996). Other than AII (11%), no single amacrine cell subtype accounts for more than 5% of the total population of amacrine cells found within mammalian species (MacNeil & Masland, 1998). (C) Two-dimensional projections of A17 (left), starburst (center), and AII (right) amacrine cells, from a viewpoint parallel to incident light under physiological conditions (i.e., whole mount), reveal details of their unique morphological features and the extent of lateral dendritic spread. The coverage factor (i.e., dendritic area • cell density) represents the dendritic overlap of neurons of the same subtype, such analysis has been used to correctly predict (Masland, 1988) that local processing exists within the dendrites of A17 (Grimes et al., 2010) and starburst (Euler et al., 2002; Hausselt et al., 2007) amacrine cells. A17 and starburst reconstructions are adapted from Oesch et al. (2011) and the AII reconstruction is courtesy of G.W. Schwartz. (D) A simplified representation of the primary synaptic outputs (target and type) where single-headed arrows represent chemical synapses and double-headed arrows represent electrical synapses. This representation highlights that amacrine cell outputs can be considered in terms of regulators of pre- and/or postsynaptic functions and mechanisms, with outputs to bipolar cells being considered presynaptic and outputs to ganglions cells considered postsynaptic. Amacrine cell to amacrine cell connections create higher-order regulation of the bipolar and ganglion cells connections.

Figure 1

Fig. 2. Amacrine cell-mediated synaptic input to bipolar cell axon terminals is best understood at the rod bipolar cell (RBC). (A) Electron microscopy studies have identified numerous synaptic contacts between amacrine cell processes and RBC terminals in the IPL of the mammalian retina. Morphologically, these amacrine cell output connections can be readily identified as either making reciprocal feedback or nonreciprocal synapses onto the RBC axon terminal. Adopted from Sterling & Lampson (1986). (B–C) Reciprocal feedback can be elicited and observed in a single RBC using a somatic recording electrode (arrow in B). These recordings indicate that reciprocal feedback to the RBC terminal is GABAergic (B), and that the response to this particular stimulation does not rely upon tetrodotoxin (TTX)-sensitive Nav activity in the amacrine cells responsible (C). Furthermore, bath application of the toxic serotonin analog, 5,7-dihydroxytryptamine (5,7-DHT), selectively ablates indolamine-accumulating amacrine cells (i.e., A17) and abolishes reciprocal feedback. Adopted from Chavez et al. (2006). (D–G) Reciprocal feedback and other forms of both GABAergic and glycinergic inhibition to the RBC terminal can be elicited by puffing exogenous glutamate directly into the IPL. (D) Elicited in this manner, GABAergic inhibition (isolated in the presence glycine receptor antagonists; Chavez et al., 2010) is reduced by 5,7-DHT and abolished by further inclusion of TTX. (E) Experiments involving a lateral translation of the puffer pipette indicate that A17 amacrine cells mediate local inhibition, whereas longer-range inhibition is mediated by amacrine cells that require neuritic Nav channel activity to drive synaptic output. Adapted from Chavez et al. (2010). (F–G) In comparison, glycinergic inhibition (isolated in the presence of GABA receptor antagonists; Chavez & Diamond, 2008) is insensitive to 5,7-DHT and largely, but not completely, blocked by further inclusion of TTX. Adapted from Chavez and Diamond (2008). These results indicate that glycinergic inhibition to the RBC is not mediated by indolamine-accumulating amacrine cells and is instead largely mediated by amacrine cells that require Nav activity to drive synaptic output. However, it should be noted that in the presence of DHT and TTX, a small portion of the response remains thus suggesting that some glycinergic output synapses share Ca2+ microdomains with glutamate receptors within the same amacrine cells.

Figure 2

Fig. 3. A diversity of molecular and cellular attributes supports a diversity of physiologies: Part 1. (A) Recent evidence indicates that synaptically evoked Ca2+ signaling can be highly compartmentalized within individual neurites of amacrine cells. In a single A17 amacrine cell, electrical and biochemical compartmentalization can allow many reciprocal feedback synapses to operate independently under certain conditions. Adapted from Grimes et al. (2010). (B–D) Reciprocal feedback synapses between RBCs and A17 amacrine cells are highly colocalized and often share Ca2+ microdomains. (B) Most reciprocal synapses (input/black arrow and output/red arrow) are separated by no more than 1 μm. Image courtesy of J. Zhang. (C) Although information regarding the endogenous buffering mechanisms within individual amacrine cell neurites is lacking, simple modeling of steady-state [Ca]i near a static conducting source (modeled in terms of constant current) indicates that concentrations relevant to the triggering of transmitter release (~10–100’s of μM) can occur within a 1 μm proximity (for review, see Parekh, 2008). (D) Results from glutamate puff-evoked feedback experiments demonstrate that GABAergic feedback from A17 amacrine cells does not require Ca2+ influx through Cav channels (i) but instead utilizes Ca2+ influx mediated by calcium-permeable AMPARs (ii). Adopted from Chavez et al. (2006).

Figure 3

Fig. 4. A diversity of molecular and cellular attributes supports a diversity of physiologies: Part 2. (A) Fundamentally, amacrine cells do not appear to obey a single rule when it comes to synaptic organization; input and output synapses can exhibit (i) submicron colocalization within individual neurites, (ii) coexpression within individual neurites without sharing microdomains, or (iii) full segregation to distinct neurites branching directly from the cell body. These various arrangements strongly influence the properties of neuronal integration and the dependencies on electrical and biochemical signaling for driving synaptic output. (B) A passive model of the A17 amacrine cell (adapted from Grimes et al., 2010) can be generalized to aid in thinking about the input–output relationships of amacrine cells of various synaptic organizations (ii). The voltage response to strong synaptic input (comparable to release of the entire readily releasable pool; i) can be restricted to individual neurites by morphology and passive properties alone (iii). This means that without significant nonlinear excitatory conductances, a neuron (such as the A17 amacrine cell) will respond to synaptic input with only local increases in intracellular calcium ([Ca2+]i). Such an arrangement can support local synaptic output from individual neurites (if input and output synapses are coexpressed) without triggering syanaptic output from other neurites. Active (e.g., Nav and Kv) membrane properties combine with morphology to shape the spatial extent of the neuronal response. With a simple uniform distribution of active properties, Nav conductance can be increased to produce spiking behavior in response to local stimulation (iv–v). However, the spatial extent of spike propagation can be limited to individual neurites under certain conditions (i.e., large leaky cell body) but such barriers can be overcome by sufficiently high Nav conductance. The reader should be reminded that the input–output relationship of any particular cell type is uniquely constrained by its specific morphology and biophysical membrane properties, and that the model presented here is only meant to provide a general conceptual framework for understanding amacrine cell physiologies. Details of the electrotonic model can be found in Grimes et al. (2010). In brief, the following properties were used: Raxial = 110 Ω cm, Rmem = 3,571 Ω cm2, Cmem = 1 μF/cm.