Connectomic analysis reveals an interneuron with an integral role in the retinal circuit for night vision
Abstract
Night vision in mammals depends fundamentally on rod photoreceptors and the well-studied rod bipolar (RB) cell pathway. The central neuron in this pathway, the AII amacrine cell (AC), exhibits a spatially tuned receptive field, composed of an excitatory center and an inhibitory surround, that propagates to ganglion cells, the retina’s projection neurons. The circuitry underlying the surround of the AII, however, remains unresolved. Here, we combined structural, functional and optogenetic analyses of the mouse retina to discover that surround inhibition of the AII depends primarily on a single interneuron type, the NOS-1 AC: a multistratified, axon-bearing GABAergic cell, with dendrites in both ON and OFF synaptic layers, but with a pure ON (depolarizing) response to light. Our study demonstrates generally that novel neural circuits can be identified from targeted connectomic analyses and specifically that the NOS-1 AC mediates long-range inhibition during night vision and is a major element of the RB pathway.
Introduction
In dim light, vision originates with rod photoreceptors, which are sensitive enough to respond to single photons (Ingram et al., 2016; Pugh, 2018). In mammals, rod output is conveyed to ganglion cells (GCs), the retinal projection neurons, via a specialized circuit: the rod bipolar (RB) cell pathway (Demb and Singer, 2015; Famiglietti and Kolb, 1975; Field et al., 2005; Figure 1). The central neuron in the RB pathway is the AII amacrine cell (AC), which receives excitatory, depolarizing input from the RBs at light stimulus onset, and is therefore an ON cell. The AII provides feedforward signals that simultaneously drive depolarizing and hyperpolarizing responses in ON and OFF GC types, respectively (Figure 1; Murphy and Rieke, 2006; Strettoi et al., 1994; Strettoi et al., 1992). The circuitry of the RB pathway efficiently transforms weak sensory inputs into neural responses with high signal-to-noise ratio (Field et al., 2005) capable of guiding behavior at visual threshold (Smeds et al., 2019).
Although well-studied, several uncertainties about RB pathway function remain (Demb and Singer, 2012). Most significantly, we do not understand the cellular basis for the spatial receptive field of the AII, which is composed of an excitatory center, driven by RB input, and an antagonistic, inhibitory surround. The surround is apparently generated by the activity of a spiking, GABAergic AC that makes direct inhibitory synapses with the AII, but the identity of this critical interneuron and the retinal circuitry in which it participates remain unresolved (Bloomfield and Xin, 2000). Understanding mechanisms contributing to surround inhibition of the AII would explain how the retina encodes spatial information in dim light.
Here, we identified the major inhibitory input to the AII by combining anatomical, genetic, and electrophysiological analyses in a three-step process. One, we reconstructed ACs that provided synaptic input to AIIs in a volume of mouse retina imaged by scanning block-face electron microscopy [SBEM; (Denk and Horstmann, 2004). Two, we evaluated published descriptions of reporter mouse lines to identify genetically-accessible ACs that had the anatomical characteristics of the cells reconstructed from SBEM images. And three, we used electrophysiological recordings and genetics-based circuit analysis to demonstrate that a candidate AC, which provided the great majority of the inhibitory synaptic input to AIIs, exhibited a light response predicted by its anatomy and made GABAergic synapses onto AIIs. This spiking, GABAergic AC is a multistratified, ON AC denoted NOS-1 AC and identified in the nNOS-CreER mouse line (Zhu et al., 2014). We conclude that the NOS-1 AC is an integral component of the RB pathway and a significant source of long-range inhibition during night vision. More generally, our study demonstrates the utility of targeted, small-scale ‘connectomic’ analysis for identification of novel neural circuits.
Results
AIIs in the mouse retina exhibit a TTX-sensitive, GABAergic receptive field surround
The inhibitory receptive field surround of AIIs has been studied extensively in the rabbit retina, where it is GABAergic and appears to be generated by spiking ACs because it is suppressed by the voltage-gated sodium channel blocker tetrodotoxin (TTX) (Bloomfield and Xin, 2000; Xin and Bloomfield, 1999). Here, we began by probing for the existence of a similar TTX-sensitive surround mechanism in AIIs of the mouse retina (Figure 2A).
AIIs were targeted for recording in the whole-mount retina (see Materials and methods; Mortensen et al., 2016), and rods were stimulated with light spots of varying diameter eliciting 10 photoisomerizations (R*)/rod/s, an intensity that reliably activates the RB pathway (see Materials and methods). Evoked excitatory currents (voltage-clamp; Vhold = ECl = −70 mV) increased with spot diameter well beyond the physical ~30 µm width of the AII dendritic field (Figure 2B). This wide receptive field of excitation is explained by electrical coupling within the AII network (Hartveit and Veruki, 2012; Xin and Bloomfield, 1999): an excitatory current originating in surrounding AIIs spreads laterally as a coupling current. Recording at Vhold = Ecation = +5 mV during spot presentation in control (Ames’) medium yielded an evoked current comprising a mixture of genuine inhibitory current and unclamped coupling current. In the presence of TTX, the inhibitory input was suppressed, leaving the coupling current (Figure 2A). The difference current (Ames’ – TTX; Figure 2A) is the isolated, TTX-sensitive, rod-driven inhibitory input, which increased as a function of spot diameter (Figure 2C). We observed as well that TTX exerted a mild suppressive effect on the excitatory light-evoked current, suggesting that spiking interneurons influence synaptic transmission from the presynaptic bipolar cells (Figure 2B).
Propagation of the AII surround to downstream GCs
The surround suppression of AIIs is expected to propagate to the GCs that receive input from the RB-AII network. This includes three GC types that receive input from the RB pathway at or near visual threshold: the ON α GC and the OFF α and δ GCs, which exhibit high sensitivity to spatial contrast in the visual scene—similar to primate parasol cells—and project to the geniculo-cortical pathway (Ala-Laurila et al., 2011; Ala-Laurila and Rieke, 2014; Dunn et al., 2006; Grimes et al., 2018a; Grimes et al., 2015; Grimes et al., 2014b; Grimes et al., 2018b; Ke et al., 2014; Kuo et al., 2016; Murphy and Rieke, 2006; Murphy and Rieke, 2008). We recorded from these GC types while rods were stimulated with dim (evoking either 4 or 40 R*/rod/s) spots of varying size; this stimulus will evoke excitatory postsynaptic currents (EPSCs) in ON α GCs and inhibitory postsynaptic currents (IPSCs) in OFF α and δ GCs that reflect the output of the RB-AII network (Murphy and Rieke, 2006; Murphy and Rieke, 2008).
As spot diameter increased up to 2000 µm, EPSCs in ON α GCs and IPSCs in OFF α and δ GCs first increased and then decreased in amplitude, reflecting an initial increase in the receptive field center response and then subsequent surround suppression of the center response (Figure 2D–F). The IPSCs recorded in OFF α and δ GCs were similar, although not identical, likely reflecting shared inputs from the AII combined with cell type-specific inhibitory inputs from unique AC types. Nevertheless, in all three GC types, surround suppression was blocked similarly by TTX, suggesting that it was mediated by a common presynaptic mechanism: inhibition of the AII. Thus, the mouse AII exhibits a TTX-sensitive receptive field surround mediated by direct inhibitory synapses and this surround is propagated to GCs. To understand the mechanism for surround inhibition, we searched for the inhibitory ACs presynaptic to the mouse AII.
Anatomical identification of inhibitory synaptic inputs to AIIs
We began by skeletonizing three AII ACs distributed across serial block face electron microscopy (SBEM) volume k0725 [mouse retina; 50 × 210 × 260 µm; (Ding et al., 2016); available at https://webknossos.org/datasets/Demo_Organization/110629_k0725/view]. AIIs were traced from their locations presynaptic to dyad ribbon synapses at RB terminals that were themselves identified by morphology and position within the inner plexiform layer (IPL) (Graydon et al., 2018; Mehta et al., 2014; Pallotto et al., 2015). For each of these three AIIs, we annotated all the inputs from ribbon synapses, arising from RBs, as well as all the conventional synaptic inputs, presumed to arise from inhibitory ACs (Figure 3A). AIIs received substantial input to their distal (ON layer) dendrites from RBs (Table 1; Figure 3B), consistent with published descriptions (Strettoi et al., 1992; Tsukamoto and Omi, 2013). With regard to inhibitory input, it is notable that virtually all AC inputs to the AII were in the inner IPL (ON layer), on the distal dendrites; the remainder of the AC inputs were on the somas and most proximal portions of the AII dendrites (Table 1; Figure 3B).
For each AII, we skeletonized 21 of the AC inputs to the distal dendrites to assess the morphology of the presynaptic neurons (Figure 3C1, left, and 3C2). Of the 63 AC skeletons created, 61 were of neurites, generally unbranched, that extended through the volume and appeared to be axons: each of these originated from an AC not contained in the SBEM volume (Figure 3C2). After annotating their output synapses, we determined that these axons made synapses with AIIs almost exclusively; the remainder of the output was to RBs with very few synapses to ON CBs and unidentified cells (Table 2; Figure 3C1, left, and 3C2). This determination was made by tracing the postsynaptic neurites sufficiently to identify RBs from their characteristic axon terminals, which are large and make dyad synapses with presumed AIIs and A17 ACs, and to identify AIIs based on several characteristic features: a soma position at the border of the INL and IPL; very thick proximal dendrites; and a postsynaptic position at RB dyad synapses (see Graydon et al., 2018; Mehta et al., 2014; Strettoi et al., 1990; Strettoi et al., 1992).
These 61 axons made 130 synapses onto the three reconstructed AIIs, giving rise to ~25% of the total inhibitory input to each AII. Therefore, assuming that each axon arises from a distinct cell, most AIIs receive ~2 inputs (i.e. ~130 synapses/61 axons) from each presynaptic AC; these inputs occur mostly (~80%) within 4 µm of RB→AII synapses (Figure 3B and C), with a median distance of 2.3 µm (Figure 3C4). Thus, the inhibitory AC inputs to the AII are well positioned for shunting local excitatory RB input.
The inputs to the AII somas and proximal (OFF layer) dendrites (Figure 3B and C1, right) were not considered in as much detail because these were few in number and presumed to arise from dopaminergic ACs (DACs) (Contini and Raviola, 2003; Gustincich et al., 1997; Voigt and Wässle, 1987). Indeed, when we traced 8 neurites presynaptic to the soma and proximal dendrites of a single AII, we identified 113 output synapses in total, 90 (80%) of which were to neighbor AIIs and 23 to other cells (Figure 3C5). The AII soma appeared to be enveloped in a ‘basket’ of such neurites (Figure 3C6), as noted previously for DAC→AII synapses (Gustincich et al., 1997; Voigt and Wässle, 1987).
Two of the 63 AC skeletons that made inputs to the AII distal dendrites could be traced to a relatively complete neuron contained within the SBEM volume (Figure 4A,B). These two ACs appeared to be of the same type and were characterized as displaced (with somas in the GC layer), multi-stratified cells, with processes in both the ON and OFF strata of the IPL.
Anatomical assessment of an AC circuit presynaptic to the AII
We annotated all of the synaptic connections—inputs and outputs—made by the two ACs contained within the volume and then identified each pre- or postsynaptic partner (Figure 4A,B). Both ACs exhibited very similar patterns of connectivity, as quantified in Table 2. Interestingly, the vast majority of synaptic output was to AIIs (AII identity confirmed as described above); a smaller but significant portion was to RBs (again, confirmed as above), with the remainder to ON CBs (which were skeletonized completely; below). We did not observe any synapses onto other ACs or onto GCs. Thus, these two ACs appear to be representatives of a singlecell type that contacts preferentially neurons in the RB pathway, specifically AIIs. Given the similarity of the postsynaptic target neuron populations of these ACs and the axons reconstructed partially and described above (Figure 3B, left, and 3C2, 3), we believe all to be representative of the same AC type, a cell that contacts AIIs preferentially and provides the vast majority of inhibitory synapses to the AII.
Both ACs received very similar numbers of inputs from conventional and ribbon synapses (Table 2). The conventional synapses were presumed to arise from ACs; these synapses were annotated, but we did not attempt to identify the presynaptic cells apart from following their processes for a short distance through the volume to ensure that they indeed were ACs (e.g. they lacked presynaptic ribbons and made other conventional synapses). We presume that these conventional synapses are inhibitory, given that most ACs are either GABAergic or glycinergic, but given the existence of at least one type of excitatory AC—the VGLUT3 AC (Johnson et al., 2004; Kim et al., 2015; Lee et al., 2016)—it is possible that some subset are excitatory. The VGLUT3 AC itself, however, is unlikely to be a presynaptic partner given that its synaptic inputs and outputs are confined to the central portion of the IPL, whereas the dendrites of the two reconstructed ACs were at the inner and outer margins of the IPL (Hsiang et al., 2017; Johnson et al., 2004). Synaptic inputs both from en passant, axonal ribbon synapses and from more typical, axon terminal ribbon synapses were observed; analysis of the presynaptic cells revealed them to be ON bipolar cells—both RBs and ON CBs—exclusively, and the synapses therefore are glutamatergic (Table 2). Thus, this AC appears to receive only excitatory ON bipolar input despite its being a multi-stratified cell with processes in both ON and OFF sublaminae of the IPL.
The 121 ON CB synapses onto the 2 ACs arose from 67 presynaptic ON CBs, and we skeletonized these ON CBs in order to identify them based on morphological characteristics and axon terminal depth within the IPL (Figure 4C; Ding et al., 2016; Helmstaedter et al., 2013; Manookin et al., 2008; Sabbah et al., 2017; Stabio et al., 2018). Most of the presynaptic ON CBs belonged to the type 6 population; the others were a mix of types 5, 7 and 8 CBs (two cells could not be fully reconstructed and were unidentified) (Figure 4C). Fifteen en passant (axonal) synapses onto the outer (OFF-layer) dendrites of the reconstructed ACs were observed (Figure 4D): 13 from type 6 cells and 2 from the unidentified cells (likely type 6 CBs). Both the occurrence of these axonal ON bipolar cell synapses and their general appearance are consistent with previous reports (Dumitrescu et al., 2009; Hoshi et al., 2009; Kim et al., 2012; Lauritzen et al., 2013). Additionally, en passant synapses in axons of type 6 cells had a markedly distinct appearance from those in the other CB types: for en passant synapses in type 6 cells, ribbons tended to occur in clusters of at least three, all apposed to the same postsynaptic process (Figure 4D; Figure 4—video 1). In this respect, they resemble strongly the axonal ribbons observed in calbindin-positive ON CBs of the rabbit retina, which are likely homologous to mouse type 6 CBs because both share similar morphology and make synapses with ON α GCs (Hoshi et al., 2009; Kim et al., 2012; Schwartz et al., 2012; Tien et al., 2017). Notably, en passant synapses were identified in the axons of some, but not all, reconstructed type 5, 7 and 8 ON CBs, indicating that such synapses are a common feature of ON CBs. None of these synapses, however, were presynaptic to the reconstructed ACs, suggesting that en passant synapses are formed with a high degree of target specificity.
The 103 RB synapses with these two ACs arose from 77 RBs (all of which were skeletonized; not shown). All RB→AC synapses were dyads (Figure 4E; Figure 4—video 2); at 75% of these dyads, the AC replaced the A17 (i.e. the other postsynaptic cell was an AII), and at the remainder of the dyads, the AC either replaced the AII (18%) or else the identity of the second postsynaptic cell could not be confirmed (7%). In at least two of the cases in which the second cell at the dyad could not be identified, the dendrite had the appearance of those of the skeletonized ACs: a very thick dendrite containing clear cytoplasm. Thus, it appears that this AC receives a significant portion of its excitatory input (48%; see Table 2) from the RB population but that any individual RB provides only one or two synapses to a single AC; the latter finding is consistent with the vast majority of RB output being at dyad synapses with AII and A17 amacrine cells, in agreement with the standard model of RB synaptic output (Demb and Singer, 2012).
A number of multistratified AC types have been reported in anatomical studies of the mouse retina (Badea and Nathans, 2004; Lin and Masland, 2006; Pérez De Sevilla Müller et al., 2007). The vast majority of these, however, differ in their morphology from the ACs studied here: for example of the 16 wide-field, axon-bearing ACs categorized by Lin and Masland (2006) (their Figure 10), none have axons in the inner (ON) layer of the IPL and a narrow field of dendrites in the outer (OFF) layer. We were struck, though, by the resemblance of the AC identified here to one identified in a screen of Cre-driver lines: the NOS-1 AC of the nNOS-CreER mouse (Zhu et al., 2014). Therefore, we tested the hypothesis that the NOS-1 AC is the spiking, ON AC that provides inhibitory synaptic input to the AII.
The NOS-1 AC is a spiking ON cell
NOS-expressing (NOS+) ACs were targeted for in vitro recording by crossing nNOS-CreER mice with Cre-dependent reporter mice (Ai32: ChR2/eYFP fusion protein expression; Zhu et al., 2014; Park et al., 2015) and then inducing recombination in ~1 month old offspring by tamoxifen injection (see Materials and methods). eYFP fluorescence (eYFP+) observed by two-photon laser scanning microscopy (2PLSM) was used to target NOS+ ACs for recording. We studied retinas in which Cre expression was induced robustly; these had 110 ± 5 cells mm−2 (mean ± SEM) labeled in the GCL and 128 ± 5 cells mm−2 labeled in the INL (n = 7 retinas from 7 mice). Based on an earlier description of this driver line, we assumed that labeled cells in the GCL included a mixture of NOS-1 and NOS-2 ACs, with NOS-1 cells having the bistratified morphology described here and NOS-2 cells exhibiting thick, spiny dendrites that project into the central level of the IPL, between the layers marked by dendrites of ON and OFF starburst ACs (Jacoby et al., 2018; Zhu et al., 2014). Labeled cells in the INL included additional NOS-2 ACs (Zhu et al., 2014) as well as other AC types that projected into the outer most levels of the IPL but were not studied here.
Dye filling (Lucifer Yellow) of recorded eYFP+ cells in the GCL revealed that these cells most typically were NOS-1 ACs, with bistratified dendrites and long axons in the ON sublaminae identified by 2PLSM visualization following recording and, in some cases, by subsequent analysis by confocal microscopy (n = 13 cells; Figure 5A). All spiking cells that were imaged shared a similar morphology, indicating that they represent a single cell type (Zhu et al., 2014). We examined NOS-1 light responses using contrast modulation around a bright mean luminance (104 R* cone−1 s−1), because the IR laser exposure used to identify fluorescent cells in 2PLSM partially bleaches rods (see Borghuis et al., 2013; Borghuis et al., 2011). Under this condition, whole-cell recordings of membrane voltage (i.e. current-clamp recordings) showed that NOS-1 cells fired spikes in response to positive contrast and that spiking could be suppressed completely by negative contrast (Figure 5B). Responses increased in magnitude with increasing spot diameter, suggesting an integration area of at least ~500 µm diameter (Figure 5C).
NOS-2 cell membrane voltage responses to light clearly differed from those of NOS-1 cells (Figure 5D,E). NOS-2 cells were non-spiking with graded, depolarizing responses to both positive and negative contrast and are therefore ON-OFF cells (Jacoby et al., 2018). Both ON and OFF responses of NOS-2 cells increased with spot diameter, with a relatively more gradual increase for the OFF response (Figure 5F).
Voltage-clamp recording from NOS-1 cells demonstrated that positive contrast evoked excitatory synaptic input, measured as inward current relative to a baseline holding current (Vhold = ECl) (Figure 5G,H). Negative contrast evoked a reduction of this baseline holding current, consistent with temporary suppression of ongoing presynaptic glutamate release (Figure 5G,H,J). Excitatory input was blocked completely by L-AP4, which suppresses the responses of ON bipolar cells, and therefore, excitation was mediated exclusively by the ON pathway (Slaughter and Miller, 1981; Figure 5G). Inhibitory synaptic input (Vhold = Ecat) was measured at both positive and negative contrast, but the amplitude of the modulated current typically was small under control conditions. In the presence of L-AP4, however, inhibition persisted only in response to negative contrast and, indeed, increased by 38 ± 11.4 pA in amplitude (t = 3.3; n = 9; p<0.005; Figure 5G–I). This increase could reflect relief of ON pathway-mediated suppression of inhibitory input from OFF ACs to NOS-1 ACs. In summary, though, these experiments demonstrate conclusively that NOS-1 cells receive tonic glutamatergic input from ON bipolar cells that can be modulated by contrast as well as inhibitory inputs from ACs in both ON and OFF pathways.
The NOS-1 AC is the predominant NOS-expressing AC in the ganglion cell layer and is distinct from CRH-expressing ACs
To determine the relative density of displaced NOS-1 and NOS-2 ACs in the GCL of the nNOS-CreER retina, we made loose patch recordings of responses to light from displaced eYFP+ ACs targeted by 2PLSM (Figure 6A). Most displaced ACs were spiking cells with sustained ON responses, confirming their identity as NOS-1 cells (n = 22/26 cells, three retinas from two mice). One exception was a spiking cell with both ON and OFF responses (Figure 6A, asterisk); we did not study this cell further, but it likely represents either a subtype of nNOS AC that is primarily in the INL and only rarely displaced to the GC or a case of ectopic Cre and/or reporter expression. In the NOS-1 population, ~2–3 cells could typically be found within ~54,500 µm2, the cross-sectional area of our SBEM volume; this cell density is consistent with our finding two putative NOS-1 cells in the SBEM data set.
Additionally, we examined NOS-expressing cells by nNOS antibody labeling during a developmental period (P8 – P14) during which a subset of NOS+ cells express the transcription factor Lhx9 (Balasubramanian et al., 2018). Two populations of NOS+ cells were observed: a small group of brightly-labeled cells (n = 19 cells) and a much larger group of dimly-labeled cells (n = 550 cells; six retinas from six mice; n = 2 retinas each at P8, P12 and P14). In retinas double-labeled with the Lhx9 antibody (two retinas from two animals, P12), only the dimly-labeled NOS+ cells were Lhx9+ (Figure 6B–D) (n = 146/156 cells). The brightly-labeled, Lhx9- cells (n = 5/5 cells, two retinas from two mice) exhibited dendrites that could be followed into the center of the IPL, where they gave rise to the thick, spiny processes characteristic of NOS-2 cells (Figure 6E). We conclude that Lhx9 expression distinguishes presumptive NOS-1 from NOS-2 cells in the GCL at P12, and that at all developmental time points, NOS-2 cells are rarely found in the GCL (3.3% of cells), making NOS-1 cells a large majority in the GCL (96.7% of NOS+ cells).
The NOS-1 cell was described also as the CRH-2 AC (Corticotropin-releasing hormone AC-2) based on labeling in the CRH-ires-Cre retina (Zhu et al., 2014). We, however, found that Cre-expressing cells in the CRH-ires-Cre::Ai32 retina are rarely labeled by the nNOS antibody (Park et al., 2018), suggesting limited overlap in CRH+ and NOS+ AC populations. Indeed, we found no co-expression of CRH and NOS by immunohistochemistry (P12 retina) (n = 66 CRH+ cells and 85 NOS+ cells, one retina) in neurons in the GCL (Figure 6E–G). Thus, NOS-1 ACs do not appear to co-express CRH, and we conclude, then, that Cre expression in NOS-1 ACs of the CRH-ires-Cre line is rare and unsystematic.
Confirmation of synapses between NOS-1 cells and AIIs
To demonstrate that NOS-1 ACs provide synaptic input to AIIs, we eliminated Cre-expressing ACs in the nNOS-CreER retina by intraocular injection of an AAV containing a Cre dependent-DTA construct followed 2–3 days later by tamoxifen administration. Four weeks later, we stimulated the retina in vitro with dim (40 R*/rod/ s) spots of varying size and recorded light-evoked currents in AIIs at Vhold = ECl or Vhold = Ecat (Figure 7A; as in Figure 2A). Following ablation of NOS+ ACs (including both NOS-1 and NOS-2 cells), the recorded excitatory currents were smaller than in the control condition and were unaffected by TTX (Figure 7B,C; compare to Figure 2B), consistent with a loss of inhibitory input from NOS-1 ACs to presynaptic RBs (Figure 4 and Table 2). Most significantly, though, we observed a lack of inhibitory TTX-sensitive surround in AII responses following NOS+ AC ablation (Figure 7B,D): the TTX-sensitive IPSCs evoked by large-diameter spots (590 to 800 µm) were significantly smaller in DTA-expressing retinas than in control mice that received the same AAV and tamoxifen injections but were Cre-negative.
We confirmed the elimination of NOS+ ACs by nNOS antibody staining and found that the number of NOS+ cells was reduced strongly in DTA-expressing retinas relative to controls (Figure 7E,G). To confirm that DTA expression did not result in non-specific ablation of ACs, we used ChAT antibody immunolabeling to quantify the number of starburst ACs (in both the INL and GCL) in control and DTA-expressing retinas and found no reduction in the experimental group (Figure 7F,H). Thus, elimination of NOS+ ACs provides evidence that a NOS+ cell, most likely the NOS-1 AC, is necessary for generating the AII inhibitory surround.
To confirm that NOS-1 ACs provide synaptic input to AIIs, we performed optogenetic circuit-mapping experiments after inducing ChR2/eYFP expression in NOS+ cells, as described above. After blocking the influence of the photoreceptors (see Materials and methods), we recorded from cells in a retinal whole-mount preparation and stimulated ChR2-expressing neurons with bright blue light. A representative ChR2-expressing NOS-1 cell (n = 3 total) responded within a few ms of the optogenetic stimulus with increased spiking (Figure 8A); IPSCs recorded in AIIs (normalized to their peak amplitude, 39 ± 6 pA) were observed a few ms later (Figure 8A), consistent with a monosynaptic connection from NOS-1 cells.
ChR2-evoked IPSCs in AIIs were blocked by SR95531 (50 µM) and therefore were mediated by GABAA receptors (Figure 8B,C) (reduction of 34.5 ± 11.7 pA, or 108 ± 4%; t = 28.5; n = 4; p<0.001). In a second group of cells, the IPSCs were blocked by TTX (1 µM), indicating that they arose from a spiking presynaptic AC (Figure 8D,E) (reduction of 35.1 ± 8.9 pA or 105 ± 4%; t = 29.5; n = 5; p<0.001). These results are consistent with a direct synaptic input from the NOS-1 AC to the AII because input from the non-spiking NOS-2 AC would not be TTX-sensitive. The spiking dopaminergic AC (DAC) also makes GABAergic synapses with the somas and proximal dendrites of AIIs (Figures 3B2, C3–5) (Gustincich et al., 1997), but the DACs in the nNOS-CreER retina do not express ChR2/eYFP, as demonstrated immunohistochemically: there was no overlap between TH+ cells, identified by TH immunolabeling (n = 90 cells), and eYFP+ cells (n = 198 cells, five retinas from three mice) (Figure 8F,G).
Additionally, we recorded ChR2-evoked IPSCs in RBs in retinal slices (n = 2) to confirm the functionality of NOS-1 AC→RB synapses observed in our anatomical analyses (Figures 3C1, C2, C6 and 4A,B). Here, we had to include the K channel blockers 4-AP (1 µM) and TEA (10 µM) in the external solution to enhance the excitability of cut NOS-1 AC axons so that they could be stimulated adequately in the slice (Figure 9, left). Indeed, control experiments recording from AIIs in both slice (Figure 9, left) and whole-mount (Figure 9, right) retinal preparations demonstrated that this manipulation enhanced release from NOS-1 cells significantly (n = 3); IPSCs were blocked by pictotoxin (50 µM). Notably, enhancing excitability in both retinal slices and whole-mount preparations did not change the latency of the IPSCs, supporting the conclusion that they are monosynaptic.
Discussion
Here, we investigated an unresolved mechanism for the inhibitory, receptive field surround of the central interneuron in the RB pathway, the AII AC (Figure 1). Ultrastructural analysis of inhibitory input to three AIIs indicated that the majority of AC synapses arise from a single type of displaced, multistratified, wide-field cell that contacts AIIs preferentially. Two relatively complete examples of this AC were found within our SBEM volume, and examination of this cell type’s outputs revealed that ~80% of its synapses were presynaptic to AIIs, with the majority of the remainder presynaptic to RBs. This AC received excitatory input exclusively from ON bipolar cells, both at en-passant axonal synapses in the OFF strata of the IPL and at axon terminal synapses in the ON strata of the IPL. The AC identified by SBEM analysis is a morphological match to the genetically identified NOS-1 AC, which we demonstrated to have physiological functions predicted by the ultrastructural analysis: it is an ON AC that provides GABAergic inhibition to AIIs and RBs. We therefore consider the NOS-1 AC to be an integral part of the well-studied mammalian RB pathway, serving as the major source of direct, long-range inhibition during night vision.
Multiple cell types in nNOS-creER retina
Cre-mediated recombination drove ChR2/eYFP reporter expression in multiple AC types in the nNOS-creER retina. We observed two AC types, called NOS-1 and NOS-2, (Jacoby et al., 2018; Zhu et al., 2014), consistent with reports of nNOS expression in at least two AC types (Chun et al., 1999; Kim et al., 1999).
The NOS-1 AC is described above. The NOS-2 AC is a monostratified cell, with dendrites in the center of the IPL (between the processes of ON and OFF starburst ACs; Figure 5D); its soma is either in the conventional location in the INL (~75%) or displaced to the GCL (~25%) (Chun et al., 1999; Jacoby et al., 2018; Kim et al., 1999; Zhu et al., 2014). There were additional labeled ACs in the INL of the nNOS-CreER retina: their processes stratified in the OFF layers proximal to the INL, but the cells were not characterized further.
Our anatomical evidence, however, supports the conclusion that the NOS-1 AC is the only Cre-expressing AC presynaptic to the AII: NOS-2 dendrites are confined to the center of the IPL, between the OFF and ON starburst ACs, whereas inhibitory inputs to AIIs are either distal to the OFF starburst processes and apparently arise from dopaminergic ACs (not labeled in the nNOS-CreER line; Figure 6F,G) or proximal to the ON starburst AC processes (Figure 3). As well, in tracing many AC inputs to AIIs, composing ~25% of the total inhibitory synaptic input to these AIIs, we never encountered an axon that stratified between the ON and OFF starburst ACs.
The NOS-1 AC is the dominant inhibitory input to the AII and generates the AII surround
The AII has an ON-center receptive field with an antagonistic surround (Bloomfield and Xin, 2000; Nelson, 1982; Xin and Bloomfield, 1999). The surround is mediated by GABAergic inhibition, it depends on activation of ON bipolar cells, and it is blocked by TTX, indicating that it arises from a spiking AC (Bloomfield and Xin, 2000; Figure 2D–G). The NOS-1 AC satisfies all of the criteria for the mechanism generating the AII surround: it is a GABAergic (Figure 8A,B; Zhu et al., 2014), spiking ON AC (Figure 5B,C; Figure 8C,D; Jacoby et al., 2018) that provides the majority of its synaptic output to AIIs (Figures 3 and 4; Table 2). Furthermore, NOS+ ACs are necessary for generating TTX-dependent surround inhibition in AIIs (Figure 7A,B).
Our conclusion that the NOS-1 AC provides ~90% (Table 1) of the inhibitory input to the AII is based on the assumption—strongly supported by the anatomical evidence (Figures 3 and 4)—that a singlecell type is presynaptic to all of the inhibitory synapses on the distal dendrites of AIIs. Given that every inhibitory input to the distal dendrites of three AIIs analyzed arises from a process with a stereotyped pattern of synaptic output (Figures 3C2 and 4A,B), we assume they represent a single type. The alternative seems very unlikely: that there are multiple independent populations of amacrine cell, each of which has axons identical in appearance, running in exactly the same stratum of the IPL, providing the identical pattern of 80% output to AIIs and 20% output to RBs, and matching precisely the pattern of output of the two reconstructed cells (both of which share identical patterns of inputs as well as outputs). Indeed, it is established that individual retinal neuron types are defined by their highly stereotyped patterns of connectivity (Briggman et al., 2011; Cohen and Sterling, 1990; Graydon et al., 2018; Hoggarth et al., 2015). Further, the combination of wide-field axons in the ON laminae of the IPL and narrow-field dendrites in the OFF laminae of the IPL apparently is restricted to a single population of wide-field AC (Lin and Masland, 2006; Zhu et al., 2014). Finally, transcriptomic analysis supports the existence of two strongly expressing NOS+ ACs: NOS-1 and NOS-2 (Yan et al., 2020).
From our SBEM analysis, the multi-stratified AC presynaptic to the AII is predicted to be an ON cell that should be activated by dim scotopic stimuli owing to its input from RBs as well as from type 6 CBs, which are well-coupled to the AII network (Grimes et al., 2014b): our observations of the light responses of NOS-1 ACs (Figure 6), their synaptic connectivity (Figures 8–9), and the properties of surround suppression of GC responses to dim light stimuli (Figure 2D) collectively support the conclusion that the NOS-1 AC is the primary inhibitory neuron influencing the output of the AII network to rod-driven input. As well, it is notable that the NOS-1 AC appears to be one significant mechanism by which cone pathways can inhibit rod pathways (Lauritzen et al., 2019). And, given that the NOS-1 AC produces NO, which is thought to regulate electrical transmission between AIIs and ON cone bipolar cells (Mills and Massey, 1995), it is possible that synaptic inhibition of the AII is coupled with modulation of its electrical synapses. As noted above, we did not measure directly the NOS-1 AC response threshold to dim light due to the laser exposure required for cell targeting, but the response threshold of the NOS-1 AC is presumably among the most sensitive in the retina due to its input from RBs and type 6 CBs.
Functional relevance
As luminance increases from visual threshold to 10–20 R*/rod/s, the gain of transmission at the RB→AII synapse is reduced (Dunn et al., 2006; Dunn and Rieke, 2008), and AIIs hyperpolarize; this hyperpolarization spreads to the terminals of type 6 CBs, which increases rectification while relieving activity-dependent synaptic depression at type 6→ON α GC synapses (Grimes et al., 2014a). The hyperpolarization of the AII in background light has been attributed to synaptic depression at the RB→AII synapse (Grimes et al., 2014a), but this hyperpolarization likely also depends on direct synaptic inhibition from the NOS-1 AC. The combined influence of these synaptic mechanisms would allow the RB pathway to remain functional at backgrounds as high as 250 R*/rod/s (Ke et al., 2014).
Thus, inhibitory input from the NOS-1 AC might represent a significant modulatory mechanism within the RB pathway and could be responsible for maintaining high-fidelity signaling through a range of background luminance at which differentiating signal from noise is a particular concern. More generally, because the type 6 CB provides input to the NOS-1 AC and is coupled electrically to the AII network that is inhibited by the NOS-1 AC, we propose that a type 6 CB→NOS-1 AC→AII AC→type 6 CB feedback circuit could maintain the rectifying nature of transmission at type 6 CB synapses by preventing excessive presynaptic depolarization across a range of lighting conditions. Testing this prediction would require the inactivation or ablation of NOS-1 cells while recording at various stages of the RB pathway. A limitation of the nNOS-CreER retina is that Cre is expressed in several cell types, including the NOS-2 cell, which is the main source of NO release within the retina (Jacoby et al., 2018). Improvements in the selective targeting of NOS-1 cells will be an important step in evaluating its function in retinal circuitry and behavior.
Conclusion
We uncovered the dominant inhibitory input to the AII, the central neuron in the well-studied RB pathway of the mammalian retina. The NOS-1 AC is the spiking neuron responsible for generating the TTX-sensitive, GABAergic surround that modulates AII network function across a range of lighting conditions (Bloomfield and Xin, 2000; Xin and Bloomfield, 1999). Further, our anatomical analysis also explained the ON response of a multi-stratified AC with neurites and excitatory synaptic inputs in both the ON and OFF strata of the IPL. Our study thereby extends the classification of retinal neurons that receive ON input from en-passant axonal synapses made by ON bipolar cells in the OFF strata of the IPL, which also includes the dopaminergic AC and the intrinsically photosensitive ganglion cells (Dumitrescu et al., 2009; Hoshi et al., 2009; Sabbah et al., 2017). Our study demonstrates the utility of a targeted connectomic analysis coupled with neurophysiological investigation to neural circuit discovery.
Materials and methods
TEM
Request a detailed protocolAn excised retina was fixed for one hour at room temperature with 2% glutaraldehyde in 0.15 M cacodylate buffer, washed in three changes of the same buffer, and postfixed with 1% osmium tetroxide in 0.15 M cacodylate containing 1.5% potassium ferrocyanide. A wash in three changes of distilled water followed the reduced osmium fixation and preceded an en bloc fix in 2% aqueous uranyl acetate. Dehydration in a graded series of ethanol (35% to 100%), and infiltration in a propylene oxide:epoxy resin series was followed by embedding and polymerization in epoxy resin. Thin sections were cut on a Reichert Ultracut E ultramicrotome, stained with 2% uranyl acetate and 0.2% lead citrate before being viewed and photographed on a Zeiss EM10 CA transmission electron microscope.
SBEM analysis
Request a detailed protocolDataset k0725, a 50 × 210 × 260 µm block of fixed mouse retina imaged with voxel size 13.2 × 13.2 × 26 nm (Ding et al., 2016) was analyzed. Manual skeletonization and annotation were performed using Knossos [http://www.knossostool.org/; (Helmstaedter et al., 2011)]. Tracing began at RB terminals, which were easily identified based on their size and position within the inner plexiform layer (IPL) (Mehta et al., 2014; Pallotto et al., 2015). From RB dyad synapses, AIIs were traced, and then, from sites of synaptic input, ACs were traced. All skeletons and annotations were checked by two expert observers. Voxel coordinates were tilt-corrected and normalized to the positions of the ON and OFF SACs [per (Helmstaedter et al., 2011) identified in (Ding et al., 2016)]. Connectivity analysis was performed using custom-written Python scripts. Skeletons were visualized in Paraview (www.paraview.org).
Electrophysiology
Request a detailed protocolAll animal procedures were approved by the Institutional Animal Care and Use Committees at Yale University or the University of Maryland. Experiments used offspring of nNOS-CreER and Ai32 mice. In nNOS-CreER mice (B6; 129S-Nos1tm1.1(cre/ERT2)/Zjh/J; Jackson Laboratory #014541, RRID:IMSR_JAX:014541), expression of Cre recombinase is driven by endogenous Nos1 regulatory elements (Taniguchi et al., 2011), and Cre expression was induced by tamoxifen (2 mg delivered on two consecutive days) administered by either IP injection or gavage at P31 (SD = 5.6 days), and at least 2 weeks before the experiment. Ai32 mice (B6;129S-Gt(ROSA)26Sortm32(CAG-COP4*H134R/EYFP)Hze/J; Jackson Laboratory #024109, RRID:IMSR_JAX:024109) express a Cre-dependent channelrhodopsin-2 (ChR2)/enhanced yellow fluorescent protein (eYFP) fusion protein (Madisen et al., 2012). Ai14 mice (B6;129S6-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J; Jackson Laboratory #007908), used for some experiments with DTA virus, express a Cre-dependent tdTomato protein (Madisen et al., 2010). Mice studied were heterozygous for the Cre allele and either the Ai32 or the Ai14 reporter allele.
A mouse aged between ~2 and 4 months was dark adapted for 1 hr, and following death, the eye was enucleated and prepared for recording in Ames medium (Sigma) under infrared light using night-vision goggles connected to a dissection microscope (Park et al., 2015). In the recording chamber, the retina was perfused (~4–6 ml/min) with warmed (31–34°C), carbogenated (95% O2-5% CO2) Ames’ medium (light response and optogenetic experiments in whole-mount retina). The retina was imaged using a custom-built two-photon fluorescence microscope controlled with ScanImage software (RRID:SCR_014307; Borghuis et al., 2013; Borghuis et al., 2011; Pologruto et al., 2004). Fluorescent cells were targeted for whole-cell patch clamp recording with a Coherent Ultra II laser tuned to 910 nm (Park et al., 2015). For optogenetic experiments in retinal slices, dissection was performed in normal room light, and the retina was maintained in artificial CSF as described previously (Jarsky et al., 2010).
Electrophysiological measurements were made by whole-cell recordings with patch pipettes (tip resistance 4–11 MΩ). Membrane current or potential was amplified, digitized at 10–20 kHz, and stored (MultiClamp 700B amplifier; ITC-18 or Digidata 1440A A-D board) using either pClamp 10.0 (Molecular Devices) or IGOR Pro software (Wavemetrics). For light-evoked responses and optogenetic experiments in whole-mount retina, pipettes contained (in mM): 120 Cs-methanesulfonate, 5 TEA-Cl, 10 HEPES, 10 BAPTA, 3 NaCl, 2 QX-314-Cl, 4 ATP-Mg, 0.4 GTP-Na2, and 10 phosphocreatine-Tris2 (pH 7.3, 280 mOsm). For optogenetic experiments in retinal slices, pipettes contained (in mM): 90 Cs-methanesulfonate, 20 TEA-Cl, 1 4-AP, 10 HEPES, 1 BAPTA, 4 ATP-Mg, 0.4 GTP- Na2, and 8 phosphocreatine-Tris2.
Either Lucifer Yellow (0.05–0.1%) or red fluorophores (sulfarhodamine, 10 µM or Alexa 568, 60 µM) were added to the pipette solution for visualizing the cell. All drugs used for electrophysiology experiments were purchased from Tocris Biosciences, Alomone Laboratories or Sigma-Aldrich. Excitatory and inhibitory currents were recorded at holding potentials near the estimated reversal for either Cl- (ECl, −67 mV) or cations (Ecation, +5 mV), after correcting for the liquid junction potential (−9 mV). Series resistance (~10–80 MΩ) was compensated by up to 50%. Following the recording, an image of the filled cell was acquired using 2PLSM.
Light stimuli were presented using a modified video projector [peak output, 397 nm; full-width-at-half-maximum, 20 nm (Borghuis et al., 2014; Borghuis et al., 2013) focused onto the retina through the microscope condenser. Stimuli were presented within a 4 × 3 mm area on the retina. Stimuli included contrast-reversing spots of variable diameter to measure spatial tuning (Zhang et al., 2012). For some experiments, stimuli were presented with 1 Hz temporal square-wave modulations (100% Michelson contrast) relative to a background of mean luminance that evoked ~104 photoisomerizations (R*) cone−1 s−1 (Borghuis et al., 2014). In other experiments, stimuli were spots of dim light (4–40 R* rod−1 s−1) of varying diameter presented on a dark background. We did not attempt to use dimmer stimuli owing to concerns about maintaining the retina in a completely dark-adapted state over the duration of the experiment: for example targeting AII ACs for recording in the whole-mount retina required exposure to infrared light sufficient to stimulate rods, albeit weakly, over a prolonged period (>10 min) and therefore precluded complete dark adaptation of the retina.
Optogenetics
Request a detailed protocolChR2-mediated responses were recorded in the presence of drugs to block conventional photoreceptor-mediated light responses. Recordings were made in a cocktail of (in µM): L-AP4 (20); either UBP310 (50) or ACET (1-5); DNQX (50-100); and D-AP5 (50–100) (Park et al., 2015). ChR2 was activated by a high-power blue LED (λpeak, 450 or 470 nm; maximum intensity of ~5×1017 photons s−1 cm−2) focused through the condenser onto a square (220 µm per side) area as described previously (Park et al., 2015).
Construction and production of recombinant AAV
Request a detailed protocolTo generate an AAV vector backbone, we modified two plasmids procured from Addgene (#62724 and #74291). We digested plasmid #74291 with BamHI, treated with Klenow fragment, digested again with HindIII, and kept the vector backbone. The insert part of plasmid #62724 was excised by digesting with EcoRI, treated with Klenow fragment, and digested again with HindIII. The excised fragment was ligated into the vector backbone from plasmid #74291. Then, we amplified the DTA sequence by PCR, created KpnI and NheI restriction sites at each end, and subcloned the PCR products into a newly generated AAV vector. The final construct contained DTA sequence in reverse orientation surrounded by two nested pairs of incompatible loxP sites (pAAV-CAG-FLEX-NheI-DTA-KpnI-WPRE-SV40pA). The plasmid carrying DTA was obtained from Addgene (#13440).
Virus production was based on a triple-transfection, helper-free method, and the virus was purified as described previously (Byun et al., 2019; Park et al., 2015), except that we used a plasmid carrying AAV2/7m8 capsid (gift from Dr. John Flannery, University of California at Berkeley). The titer of the purified AAVs was determined by quantitative PCR using primers that recognize WPRE; the concentrated titers were >1013 viral genome particles/ml in all preparations. Viral stocks were stored at −80°C.
Histology
Request a detailed protocolFor immunohistochemistry, animals were perfused at age 1–12 weeks. The retinas were dissected and fixed with 4% paraformaldehyde for 1 hr at 4°C. For whole-mount staining, retinas were incubated with 6% donkey serum and 0.5% triton X-100 in PBS for 1 hr at room temperature; and then incubated with 2% donkey serum and 0.5% triton X-100 in PBS with primary antibodies for 1–4 days at 4°C, and with secondary antibodies for 1–2 hr at room temperature. For morphological analysis of recorded cells, the retina was fixed for 1 hr at room temperature and reacted as described previously (Manookin et al., 2008).
Primary antibodies were used at the following concentrations: goat anti-ChAT (1:200, Millipore AB144P, RRID:AB_2079751), rabbit anti-Lucifer Yellow (1:2000, ThermoFisher Scientific A-5750, RRID:AB_2536190), rabbit anti-nNOS (1:500, ThermoFisher Scientific 61–7000, RRID:AB_2533937), guinea pig anti-nNOS (1:2000, Frontier Institute Af740, RRID:AB_2571816), rabbit anti-TH (1:1000, Millipore AB152, RRID:AB_390204), rabbit anti-human/rat CRF serum (1:40,000, code #PBL rC68; gift of Dr. Paul Sawchenko, Salk Institute), guinea pig anti-LHX9 (1:20,000, gift of Dr. Jane Dodd, Columbia University). Rabbit anti-nNOS was used in all cases of nNOS immunolabeling except for Figure 6F and G, in which case guinea pig anti-nNOS was used. Secondary antibodies (applied for 2 hr) were conjugated to Alexa Fluor 488, Cy3 and Cy5 (Jackson ImmunoResearch or ThermoFisher Scientific) and diluted at 1:500.
Confocal imaging
Request a detailed protocolConfocal imaging was performed using Zeiss laser scanning confocal microscopes (510, 710, or 800 models). For filled cells, a whole-mount image of the dendritic tree was acquired using a 20X air objective (NA = 0.8); in some cases, multiple images were combined as a montage. A high-resolution z-stack of the ChAT bands (i.e. cholinergic starburst AC processes, labeled by the ChAT antibody) and the filled amacrine or ganglion cell was obtained to determine their relative depth in the IPL using a 40X oil objective (NA = 1.4). Analysis of nNOS, Lhx9, CRH and TH antibody labeling was performed either with the 40X oil objective or the 20X air objective. Cells were counted using ImageJ (RRID:SCR_003070).
Data availability
SBEM dataset k0725 is was published in Ding et al. 2016. The dataset is available in the repository at https://webknossos.org. The dataset also can be provided on a hard drive by arrangement with Dr. Kevin L Briggman.
References
-
Cone photoreceptor contributions to noise and correlations in the retinal outputNature Neuroscience 14:1309–1316.https://doi.org/10.1038/nn.2927
-
Quantitative analysis of neuronal morphologies in the mouse retina visualized by using a genetically directed reporterThe Journal of Comparative Neurology 480:331–351.https://doi.org/10.1002/cne.20304
-
Lhx9 is required for the development of retinal nitric Oxide-Synthesizing amacrine cell subtypeMolecular Neurobiology 55:2922–2933.https://doi.org/10.1007/s12035-017-0554-y
-
Selective synaptic connections in the retinal pathway for night visionJournal of Comparative Neurology 527:117–132.https://doi.org/10.1002/cne.24313
-
Surround inhibition of mammalian AII amacrine cells is generated in the proximal retinaThe Journal of Physiology 523 Pt 3:771–783.https://doi.org/10.1111/j.1469-7793.2000.t01-1-00771.x
-
Imaging light responses of targeted neuron populations in the rodent retinaJournal of Neuroscience 31:2855–2867.https://doi.org/10.1523/JNEUROSCI.6064-10.2011
-
Two-photon imaging of nonlinear glutamate release dynamics at bipolar cell synapses in the mouse retinaJournal of Neuroscience 33:10972–10985.https://doi.org/10.1523/JNEUROSCI.1241-13.2013
-
Demonstration of cell types among cone bipolar neurons of cat retinaPhilosophical Transactions of the Royal Society of London. Series B, Biological Sciences 330:305–321.https://doi.org/10.1098/rstb.1990.0201
-
Intrinsic properties and functional circuitry of the AII amacrine cellVisual Neuroscience 29:51–60.https://doi.org/10.1017/S0952523811000368
-
Functional circuitry of the retinaAnnual Review of Vision Science 1:263–289.https://doi.org/10.1146/annurev-vision-082114-035334
-
Ectopic retinal ON bipolar cell synapses in the OFF inner plexiform layer: contacts with dopaminergic amacrine cells and melanopsin ganglion cellsThe Journal of Comparative Neurology 517:226–244.https://doi.org/10.1002/cne.22158
-
Controlling the gain of rod-mediated signals in the mammalian retinaJournal of Neuroscience 26:3959–3970.https://doi.org/10.1523/JNEUROSCI.5148-05.2006
-
Retinal processing near absolute threshold: from behavior to mechanismAnnual Review of Physiology 67:491–514.https://doi.org/10.1146/annurev.physiol.67.031103.151256
-
Parallel processing of rod and cone signals: retinal function and human perceptionAnnual Review of Vision Science 4:123–141.https://doi.org/10.1146/annurev-vision-091517-034055
-
High-accuracy neurite reconstruction for high-throughput neuroanatomyNature Neuroscience 14:1081–1088.https://doi.org/10.1038/nn.2868
-
ON inputs to the OFF layer: bipolar cells that break the stratification rules of the retinaJournal of Neuroscience 29:8875–8883.https://doi.org/10.1523/JNEUROSCI.0912-09.2009
-
Why are rods more sensitive than cones?The Journal of Physiology 594:5415–5426.https://doi.org/10.1113/JP272556
-
Nanodomain control of exocytosis is responsible for the signaling capability of a retinal ribbon synapseJournal of Neuroscience 30:11885–11895.https://doi.org/10.1523/JNEUROSCI.1415-10.2010
-
Vesicular glutamate transporter 3 expression identifies glutamatergic amacrine cells in the rodent retinaThe Journal of Comparative Neurology 477:386–398.https://doi.org/10.1002/cne.20250
-
Immunocytochemical localization of nitric oxide synthase in the mammalian retinaNeuroscience Letters 267:193–196.https://doi.org/10.1016/S0304-3940(99)00363-8
-
ON cone bipolar cell axonal synapses in the OFF inner plexiform layer of the rabbit retinaJournal of Comparative Neurology 521:977–1000.https://doi.org/10.1002/cne.23244
-
Rod-cone crossover connectome of mammalian bipolar cellsJournal of Comparative Neurology 527:87–116.https://doi.org/10.1002/cne.24084
-
Populations of wide-field amacrine cells in the mouse retinaThe Journal of Comparative Neurology 499:797–809.https://doi.org/10.1002/cne.21126
-
Global Ca2+ signaling drives ribbon-independent synaptic transmission at rod bipolar cell synapsesJournal of Neuroscience 34:6233–6244.https://doi.org/10.1523/JNEUROSCI.5324-13.2014
-
AII amacrine cells quicken time course of rod signals in the cat retinaJournal of Neurophysiology 47:928–947.https://doi.org/10.1152/jn.1982.47.5.928
-
Function and circuitry of VIP+ interneurons in the mouse retinaJournal of Neuroscience 35:10685–10700.https://doi.org/10.1523/JNEUROSCI.0222-15.2015
-
Convergence and divergence of CRH amacrine cells in mouse retinal circuitryThe Journal of Neuroscience 38:3753–3766.https://doi.org/10.1523/JNEUROSCI.2518-17.2018
-
Displaced amacrine cells of the mouse retinaThe Journal of Comparative Neurology 505:177–189.https://doi.org/10.1002/cne.21487
-
Monitoring neural activity and [Ca2+] with genetically encoded Ca2+ indicatorsJournal of Neuroscience 24:9572–9579.https://doi.org/10.1523/JNEUROSCI.2854-04.2004
-
The discovery of the ability of rod photoreceptors to signal single photonsJournal of General Physiology 150:383–388.https://doi.org/10.1085/jgp.201711970
-
The spatial structure of a nonlinear receptive fieldNature Neuroscience 15:1572–1580.https://doi.org/10.1038/nn.3225
-
Synaptic connections of rod bipolar cells in the inner plexiform layer of the rabbit retinaThe Journal of Comparative Neurology 295:449–466.https://doi.org/10.1002/cne.902950309
-
Synaptic connections of the narrow-field, bistratified rod amacrine cell (AII) in the rabbit retinaThe Journal of Comparative Neurology 325:152–168.https://doi.org/10.1002/cne.903250203
-
Cone bipolar cells as interneurons in the rod pathway of the rabbit retinaThe Journal of Comparative Neurology 347:139–149.https://doi.org/10.1002/cne.903470111
-
Functional allocation of synaptic contacts in microcircuits from rods via rod bipolar to AII amacrine cells in the mouse retinaJournal of Comparative Neurology 521:3541–3555.https://doi.org/10.1002/cne.23370
-
Dopaminergic innervation of A II amacrine cells in mammalian retinaThe Journal of Neuroscience 7:4115–4128.https://doi.org/10.1523/JNEUROSCI.07-12-04115.1987
-
Genetically targeted binary labeling of retinal neuronsJournal of Neuroscience 34:7845–7861.https://doi.org/10.1523/JNEUROSCI.2960-13.2014
Article and author information
Author details
Funding
National Eye Institute (EY017836)
- Joshua H Singer
National Eye Institute (EY014454)
- Jonathan B Demb
National Eye Institute (EY029820)
- In-Jung Kim
National Eye Institute (P30-EY026878)
- In-Jung Kim
- Jonathan B Demb
Research to Prevent Blindness
- In-Jung Kim
- Jonathan B Demb
National Eye Institute (EY029323)
- Jonathan B Demb
Knights Templar Eye Foundation
- Silvia JH Park
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
Supported by EY017836 to JHS, EY014454 and EY029323 to JBD, EY029820 to I-JK, P30-EY026878 to Yale University, a grant from the Knights Templar Eye Foundation to SJHP and an unrestricted grant from Research to Prevent Blindness to Yale University. We thank Tim Maugel and the Laboratory for Biological Ultrastructure (Department of Biology, UMD) for assistance with transmission electron microscopy, Alexander Baden for assistance with 3D visualization, and Kacie Furcolo and Adit Sabnis for assistance with SBEM dataset skeletonization. We thank Cole Graydon for comments on the manuscript.
Ethics
Animal experimentation: All animal procedures were approved by the Institutional Animal Care and Use Committees at Yale University or the University of Maryland.
Copyright
© 2020, Park et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
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