Summary
In the outer plexiform layer (OPL) of the mammalian retina, cone photoreceptors (cones) provide input to more than a dozen types of cone bipolar cell (CBC). In the mouse, this transmission is modulated by a single horizontal cell (HC) type. HCs perform global signaling within their laterally coupled network, but also provide local, cone-specific feedback. However, it is unknown how HCs provide local feedback to cones at the same time as global forward signaling to CBCs and where the underlying synapses are located. To assess how HCs simultaneously perform different modes of signaling, we reconstructed the dendritic trees of five HCs as well as cone axon terminals and CBC dendrites in a serial block-face electron microscopy volume and analyzed their connectivity. In addition to the fine HC dendritic tips invaginating cone axon terminals, we also identified “bulbs”, short segments of increased dendritic diameter on the primary dendrites of HCs. These bulbs are in a OPL stratum well below the cone axon terminal base and make contacts with other HCs and CBCs. Our results from immunolabeling, electron microscopy and glutamate imaging suggest that HC bulbs represent GABAergic synapses that do not receive any direct photoreceptor input. Together, our data suggests the existence of two synaptic strata in the mouse OPL, spatially separating cone-specific feedback and feedforward signaling to CBCs. A biophysical model of a HC dendritic branch and voltage imaging support the hypothesis that this spatial arrangement of synaptic contacts allows for simultaneous local feedback and global feedforward signaling by HCs.
eTOC Blurb
In the mammalian retina, it is unclear how horizontal cells provide both local feedback to photoreceptors and global forward signaling to bipolar cells simultaneously. Behrens et al. identify a second synaptic stratum in the outer mouse retina, spatially separating cone photoreceptor-specific feedback and feedforward signaling to bipolar cells.
Introduction
At the very first synapse of the mammalian visual system, retinal horizontal cells (HCs) play a crucial role in visual processing. They contribute to gain control, contrast enhancement, and the generation of center-surround receptive fields1,3,4. HCs are part of the circuit of the outer retina, where – in the mouse – the visual signal is transduced by two types of cone photoreceptors (cones) and relayed to 13 types of cone bipolar cell (CBC)5–7. These in turn forward the signal to the retina’s output neurons, the ganglion cells.
The laterally-organized HCs act on the mammalian photoreceptor-BC synapse8 with a variety of feedback mechanisms9–11. To this end, HC dendritic processes invaginate cone axon terminals (also named ‘cone pedicles’) flanking ON-CBC dendrites to contact an individual cone output site in the synaptic cleft, forming a triad synapse12 (Figure 1A). In contrast, HC dendritic tips do not directly contact OFF-CBCs at the cone axon terminal13.
Despite the classic view that HCs are only involved in global feedback computations, recent functional measurements raised the possibility that HCs provide local feedback to photoreceptors at the triad synapse14,15, modulating each cone’s output individually. Interestingly, an additional synaptic site from HCs to BCs below the cone terminals has been anecdotally observed in early electron microscopy (EM) studies of the vertebrate retina16–18 and GABAergic feedforward connections between HCs and CBCs have been hypothesized12,19–21. Here, we integrate these seemingly disparate functions into a two-layer circuit of outer retinal processing in the mouse.
We made use of the serial block face EM dataset e200622 to reconstruct the mouse HC circuitry in the outer retina and identified a second synaptic layer formed with thickenings (“bulbs”) on HC dendrites, where HCs contact each other and BCs. Based on biophysical modeling, as well as glutamate and voltage imaging, we propose that a role of these synapses is to provide global feedforward signals to postsynaptic CBCs, complementing the local feedback provided directly to cones. This suggests that a single interneuron can simultaneously provide local reciprocal feedback and global feedforward signals at distinct synaptic locations.
Results
The connectivity of horizontal cells with cone photoreceptors
Using the publicly available serial block-face EM dataset e200622 (Figure 1B), we reconstructed the dendritic arbors of five HCs (Figure 1C and 1D). The reconstructed HCs covered a dendritic area of 4,600 ± 400 μm2 (mean ± SD, n = 5). Typically, four to six primary dendrites originated from the soma and fine dendritic tips extended upwards towards cone axon terminals (Figure 1E). Note that for each of these HCs, a few distal dendrites could not be fully reconstructed, because they go beyond the EM tissue volume (Figure S1).
First, we analyzed the HC connectivity within the cone axon terminals (Figure 1F and 1G). We confirmed that connections between HCs and cones at this level of the OPL happened at the well-described “triad synapse”, where HC tips in the synaptic cleft are closely associated with invaginating dendrites of ON-CBCs8 (Figure S2A). In our dataset, we identified one or two invaginating HC dendritic tips per ON-CBC tip in the synapses we analyzed (n=36). These synapses were located at five central cone axon terminals making contacts with all five reconstructed HCs.
Each HC contacted all cones within its (reconstructed) dendritic field, with on average 61 ± 5 (between 51 and 77) cones. We found that cones closer to the HC soma were contacted with more dendritic tips than distal cones (Figure 1F and S2B; Generalized Additive Model (GAM) with smooth term for distance from soma and random effect of specific HC, p < 2 · 10−16 for smooth term, see STAR Methods). In addition, the HC-cone contact area decreased towards the HC’s periphery (Figure 1G; GAM for distance from soma and random effect of specific HC, p = 4.2 · 10−7 for smooth term). As contact area may be a proxy for the probability of synaptic contacts22, this suggests that HCs receive more synaptic input from cones close to their soma. Contacts between HCs and ON-CBCs at the level of the cone axon terminal followed the contact statistics between cones and ON-CBCs (Figure S3), as described earlier7.
Horizontal cells and bipolar cells form contacts in the OPL
We next searched below the level of the cone axon terminals for an additional synaptic site between HCs and CBCs, which has been anecdotally described in early EM studies 16–19 and postulated based on physiological findings12,20,21.
To this end, we systematically examined the five volume-rendered HCs and found dendritic thickenings distributed along the primary dendrites (Figure 2A and 2B). These dendritic thickenings, which we called “bulbs”, showed a marked increase in dendritic diameter over the surrounding dendrite (Figure 2C). Almost all bulbs were located clearly below the cone axon terminal base and not in direct contact with it (Figure 2B and 2D). Also, the bulbs were evenly spread along the primary dendrites and across the entire dendritic field (Figure 2E and 2F) – in contrast to the number of invaginating dendritic tips, which showed a higher density towards the soma of the HC (cf. Figure 1F).
For 355 of the 545 mapped bulbs (n = 5 HCs) we could identify contacts with other neurons: 61.7% (219) only contacted the dendrites of ON- and OFF-CBCs, 18.9% (67) only contacted bulbs of other HCs, and 19.4% (69) contacted both HCs and CBCs, suggesting that the bulb structures represent potential HC-HC and/or HC-CBC synapses. For 190 bulbs, we could not determine the identity of the contacted cells as we had no information about the identity of the contacted cells: Only the five most complete HCs in the field were traced, and some CBCs had their soma outside the EM stack. Note that membrane boundaries between bulbs and other bulbs/BC dendrites in the 2006e EM data set were rather faint (Figure 2G and 2H). These faint boundaries were in stark contrast to other membranes in the OPL (see also Discussion).
On average, each HC contacted between 1 and 10 CBCs of a given type at bulb sites (Figure 2I). Most common were contacts to ON-CBC types 5O, 5I, 6 and 7; most rare, were contacts with types 1, 5T, X, 8 and 9. For types X, 8 and 9, the low numbers likely reflected these CBC type’s lower density, whereas for CBC type 5T, which has the same dendritic density as CBC types 5O and 5I, it is likely a consequence of a genuinely lower number of contacts. From the CBCs’ point of view, each ON-CBC contacted HCs on average at more than one bulb site (average: 1.1 to 2.2; except CBC type 5T), but OFF-CBC types at less than one (average 0.4 to 0.8; except CBC type 3A; Figure 2J). This indicates that HCs contact BCs in a type-specific manner at bulb structures below the cone axon terminal.
Horizontal cell bulbs are GABAergic synaptic structures
We next investigated whether these bulbs were indeed the site of GABAergic synapses from HCs to BCs. If this were the case, one would expect GABA receptors at the contact points between HC bulbs and CBC dendrites. To test this, we dye-injected six HCs and immunostained CBCs with antibodies against secretagogin (SCGN), which was described to label CBC types 2, 3, 4, 5, 6 and possibly 823. In addition, we stained the tissue with antibodies against the GABA receptor subunit ρ2 (GABARρ2; Figure 3A and 3B), which in the lower OPL of the mouse is exclusively present on BC dendrites but not on cone axon terminals and HC primary dendrites10,11,24,25.
We found GABARρ2-containing receptors at most HC bulbs (84%, 81 out of 96 bulbs, n = 6 HCs, Figure 3C and 3E). Moreover, GABARρ2 was present at more than half of the contact points (59%, 33 out of 56 contacts) between HC bulbs and SCGN-labelled dendrites of CBCs (58%, 56 out of 96 bulbs). Overall, almost one-third of the HC bulbs colocalized with both GABARρ2 and SCGN-labelled BCs (34%, 33 out of 96 bulbs). To assess whether these numbers were greater than expected by chance, we rotated the channel containing the dye-injected HC with respect to the SCGN and GABARρ2 channels by 90° and repeated the colocalization analysis (Figure 3D, see STAR Methods). We found that significantly fewer bulbs exhibited colocalization with the immunomarkers in the rotated condition (Figure 3E; p<0.05 for all conditions, Generalized Linear Mixed model, see STAR Methods and Table S1).
To evaluate if bulbs contain an ultrastructure consistent with synapses, we collected an image stack using focused ion beam scanning EM (see STAR Methods) on a sample where the intracellular ultrastructure was preserved (Figure 4). We manually reconstructed HCs starting from their dendritic tips in the invaginating cleft to the depth in the OPL, where bulbs are located (Figure. 4A and 4B, Supplementary image stack). While we were unable to detect synaptic vesicles (see Discussion), the bulbs always contained mitochondria, as is typical for presynaptic structures (Figure 4C and 4D, n = 7 bulbs)26,27.
Together, our results from EM, dye-injections and immunolabelling support the view that HCs indeed form GABAergic synapses with CBCs at bulbs.
Horizontal cell bulbs are unlikely to receive direct photoreceptor input
In order to understand how synapses at HC bulbs might contribute to retinal processing, we turned to the question of how the retinal circuit could drive depolarization and GABA release from bulbs. First, we asked whether direct glutamatergic input from cones could locally depolarize bulbs. To evaluate this, we performed two-photon glutamate imaging in the transgenic Cx57cre/+ mouse line28, in which HCs expressed the genetically encoded glutamate sensor iGluSnFR29 using AAV-mediated transduction (Figure 5; see STAR Methods). In the retinal whole-mount, we found localized, light-stimulus evoked glutamate signals in the OPL plane where the HC tips invaginate the cone axon terminals (Figure 5A, 5C and 5E) but not at HC bulbs (Figure 5B, 5D and 5F). This is confirmed by an analysis of response reliability with respect to light stimulation (see STAR Methods), which showed significantly higher reliability indices for signals at HC tips vs. bulbs (Figure 5G). To exclude the possibility that the lack of detectable glutamate signals at bulbs was due to the sequential nature of these recordings and, hence, photoreceptor bleaching, in a few experiments we used axial (x-z) scans30, in which the whole OPL can be measured simultaneously (Figure S4). Like for the horizontal (x-y) scans, we detected reliable light-evoked glutamate signals only at the level of the cone axon terminals. Together, this suggests that glutamate released from photoreceptors does not diffuse to HC bulbs and contribute to depolarizing bulb compartments in a local manner. Thus, HC bulb GABA release can only be stimulated as a result of electrical signal spread along the primary dendrites and not from local glutamatergic drive from photoreceptors.
Biophysical modeling indicates potential bulb function
Given the lack of local glutamatergic input to bulbs, we next asked how electrical signals resulting from cone inputs are integrated at the HC bulbs in order to better understand the bulbs’ functional response properties. To this end, we built a biophysical model of a HC dendritic branch with cone input (Figure 6A and 6B) based on our previously published model15. We stimulated the model with full-field noise, a spatially highly correlated input, and measured simulated voltage signals in the HC dendritic tips invaginating into cone axon terminals (n = 12) and in the bulb structures (n = 14) (Figure 6C and 6D). For full-field stimuli, we found high correlations between voltage signals from all recording points (0.79 ± 0.12, mean ± SD). Vesicle release at each synapse between cones and HC tip was modeled with a contribution from synaptic noise that was uncorrelated between synapses. Correlations between signals in different tips (0.64 ± 0.08) and between signals in tips and bulbs (0.77 ± 0.08) were therefore lower than those between signals in bulbs (0.92 ± 0.06) (Figure 6E and 6G). However, correlations between bulbs and the mean tip signals (0.95 ± 0.03) were similar to the correlations between bulbs. This suggests that even for full-field stimuli, signals in the tips are expected to be more independent than those in the bulbs.
We next stimulated the model with checkerboard noise, which is spatially uncorrelated. We found that the mean correlation between voltage signals in tips was low (0.20 ± 0.13), as reported previously15. In contrast, the mean correlation between voltage signals in bulbs was much higher (0.67 ± 0.21) and so was the correlation between bulb signals and the mean of tip signals (0.76 ± 0.11) (Figure 6F and 6G). Together, these simulations indicate the signal relayed by HCs to CBCs at the dendritic bulbs likely reports a de-noised spatial average of the visual stimulus, whereas the signals present at the HC dendritic tips consist of spatially-local information, providing spatially-local feedback to individual cones (Figure 7G and 7H).
Last, we ran simulations with larger bulbs (twice the bulb diameter) and without bulbs (bulb diameters reduced to that of the surrounding dendrite). Both conditions did not significantly change the calcium/voltage signals measurements at the bulb locations (Figure S5A). This is expected as the bulbs in our model have the same electric properties and channel densities as the surrounding primary dendrites. As the bulb only make up a small fraction of the HC dendritic length, signal propagation behavior is dominated by the properties of the dendrites between the bulbs. Moreover, assuming that bulbs indeed function as output synapses, we also ran models with increased voltage-gated calcium channel (VGCC) density solely in the bulbs (Figure S5B). This modification did not significantly alter the signal correlations observed in different HC compartments.
Measuring membrane potential at the bulbs supports the biophysical model
To test the model’s prediction that tip signals should be less correlated than bulb signals, we performed voltage imaging using JEDI-2P, a novel GFP-based genetically encoded voltage indicator (manuscript submitted) derived from ASAP2s31. JEDI-2P was expressed in HCs using AAV-mediated transduction in a transgenic Cx57cre/+ animal (Figure 7; see STAR Methods). Similar to the glutamate recordings, voltage signals to full-field white flashes were recorded in x-y scans at the tip (Figure 7A and 7C) and the bulb level (Figure 7B and 7D). As predicted by our model (Figure 6G), flash-evoked voltage signals between different tips or tips and bulbs were less correlated than those between different bulbs, bulbs and somata or different somata (0.12 ± 0.01; 0.12 ± 0.01 vs. 0.16 ± 0.01; 0.19 ± 0.01; 0.24 ± 0.01; all mean ± 95% CI; Figure 7E and 7F), lending support to our model observation that bulbs relay more global aspects of the visual stimulus to their postsynaptic partners. Note that we also presented checkerboard noise stimuli, however, because of the low signal-to-noise ratio of the corresponding responses, we refrained from including these data into our analysis.
Discussion
Classically, HCs in the vertebrate retina have been viewed as performing global computations like gain control and contrast normalization3,32,33. However, local signaling in HC dendritic tips has also been observed11,14,15, raising the question of how a strongly electrically coupled syncytium of laterally organized interneurons can compute both local and global signals and relay them to their postsynaptic partners. Here, we postulate an updated view of how HCs support these contrasting computations: HC dendritic tips provide local feedback – depending on the spatial stimulus properties – within the triad synapse in the cone terminal, directly modulating the cone output (Figure 7G), whereas GABAergic synapses at the HC dendritic bulbs relay a de-noised spatial average, or global spatial signal, of the visual signal to other HCs and to BCs (Figure 7H). This global output signal at the HC bulbs may play a role in generating the lateral surround of the center-surround receptive field of BCs, as has long been posited34,35 (Figure 7I).
Horizontal cell bulbs as chemical synaptic structures
Based on anecdotal reports of chemical synapses between HCs and BCs in early EM studies in mammals16–19, direct synaptic connections have long been postulated between HCs and CBCs in the vertebrate retina12,20,21,36,37. Our study reports segments of enlarged dendritic width – bulbs – in HCs and provides evidence that these bulbs are the putative HC-BC chemical synapses described over 30 years ago: First, contactivity analysis of reconstructed HCs and BCs indicates that the majority of bulbs (~65%) contact other HC and/or BC dendrites. That there appears to be type-specific wiring between CBC types and bulbs argues against these contacts being random en-passant contacts. Second, bulbs are regularly spaced along HC dendrites, suggesting that bulbs are not just random dendritic thickenings. Third, bulbs contain mitochondria, which are thought to be required in presynapses to supply energy for the vesicle release mechanism, as described for a reciprocal amacrine cell synapse in the cat retina and cortical interneurons27,38. Fourth, our immunolabeling data indicates the presence of ρ2 subunit-containing GABAC receptors at HC bulbs that contact BC dendrites. Finally, using glutamate imaging, we did not detect any stimulus-modulated glutamate signal at the bulbs, which indicates that they do not receive direct glutamate input from cones.
While we were not able to directly detect neurotransmitter vesicles at HC bulbs (Figure 4), earlier EM studies found that vesicle clusters in HC dendrites were “…typically organized around some denser particles…” (Figure 18 in17) and that “…the synaptic complex, was of conventional configuration, involved the horizontal cell presynaptically, and was always found in the innermost aspect of the outer plexiform layer…” (Figure 11 in16). This is in line with our findings that bulbs are distributed in the inner stratum of the OPL. In a recent study, vesicles could be visualized in mouse HC tips in rod axon terminals using conical tomography EM with an isotropic voxel resolution of 3 nm25,39. Zampighi and coworkers40 argued that together with an optimized fixation protocol, their high resolution approach eliminates possible projection artifacts seen in scanning block-face EM, which may mask fine cell organelle structures – such as small vesicles. Hence, potential explanations why we did not see any vesicles in both HC dendritic tips and bulbs in our EM datasets include sub-optimal fixation of the fine vesicles and/or masking artefacts from FIB-SEM imaging.
Another likely EM method-related observation was the rather indistinctive membrane boundary between bulbs and BC dendrites in the 2006e EM data set (Figure 2G and 2H). These faint boundaries were in stark contrast to other membranes in the OPL. Since we found bulbs with more intact-looking membranes to BCs in both dye-injected HCs and in our FIB-SEM tissue, the faint boundaries in the 2006e dataset are related to the staining protocol used at that time (compare Briggman, Helmstaedter and Denk 201141 with the optimized protocol in Fulton and Briggman 202142).
It remains unclear whether HCs express GABA receptors at bulbs. This seems plausible as HCs contacted also other HCs at bulbs. A GABAergic synapse between HCs, along with depolarizing chloride levels in HCs36,43, could transmit a sign-conserved signal between them, complementing the lateral signal spread through electrical synapses formed by gap junctions. It is unlikely that bulbs themselves are the primary site of gap junctions between HCs44, as most of the gap junction protein connexin57 is expressed at more distal sites on the HC dendrites and not prominent on the bulb-bearing primary dendrites45.
Functional consequences of a second synaptic stratum in the outer plexiform layer
Our findings suggest how the lateral inhibition essential for center-surround receptive field organization of BCs is generated by the HCs in the outer retina. While the thin distal HC dendrite appears to be optimized for local cone-specific feedback15 (Figure 7G), the bulbs on the primary HC dendrites are particularly suitable for lateral inhibition: This GABAergic bulb synapse would relay global signals not only to other HCs but also to CBCs, where it could contribute to the cells’ center-surround antagonistic receptive field. This feedforward signal to CBCs is likely modulated by different mechanisms: The photoreceptor input that reaches the bulbs on the primary HC dendrites will be shaped by the feedback at the dendritic tip feedback synapses; in addition, it is subject to passive filtering and may be affected by the coupling state of the HC network, via electrical synapses and/or potential GABAergic synapses between HCs.
To provide both ON- and OFF-CBCs with the appropriate surround polarity, this GABAergic feedforward signal would need to have differential effects on the CBCs. Indeed, it has been found that ON- and OFF-CBCs differ in their dendritic Cl− levels, such that activation of ionotropic GABA receptors, which are Cl−-permeable, results in Cl− influx and hyperpolarization in OFF-CBCs and Cl− efflux and depolarization in ON CBCs21,37. In this context it was puzzling that OFF-CBCs made fewer contacts with HC bulbs than ON CBCs. Here, a fundamental difference in ON- and OFF-CBC connectivity to cones may play a role: Whereas ON-CBCs invaginate the cone synaptic cleft and hence are closer to the glutamate release site, OFF-CBCs make basal contacts more distant from the release site and have to content themselves with less glutamate46. Therefore, the lower number of bulb contacts in OFF CBCs may counterbalance their reduced glutamatergic drive47.
Another, - yet not investigated - factor that may contribute to the complexity of outer retinal signaling appears to be a tonic release of GABA by HCs on CBC dendrites that could modulate the CBCs’ response to more phasic input from photoreceptors and/or HCs11.
Feedback and feedforward signaling pathways
For spatially uniform light stimulation, local feedback from HCs to photoreceptors will approach the global averaged signal48 (Figure 7G) and therefore, feedback to cones and the signal at the bulb synapse are expected to look similar. Under these conditions, however, the impact of a lateral component of global feedback from HCs to cones is expected to be relatively weak2.
In contrast, for spatially patterned light stimulation, as can be expected during natural vision, the local feedback signal in the HC dendritic tips may look markedly different than the average signal generated in HC bulbs. Under these natural stimulation conditions, the local inhibitory feedback to cones may play an important role in locally boosting the signal-to-noise ratio of the signal by keeping the synapse at the optimal operating point49. Additionally, the global feedback signal, which represents the average background light intensity, has been suggested to support the optimal representation of (local) contrast signals50.
However, feedback can also become unstable for high gains in the feedback loop and typical synaptic delays2. To prevent the initiation of such an oscillatory activity at the first synapse of the visual system, the HC feedback includes very fast, almost near instantaneous ephaptic/pH-mediated mechanisms with minimal delay following the cone signal11,15,51. Feedback strength is limited by the need to maintain efficient signal transmission from cones to CBCs. Note that global feedforward signaling at the HC bulbs does not suffer from such limitations. These functional requirements further constrain the feedback and feedforward synapses to be at structurally different synaptic sites (Figure 7I).
In addition, distinct synaptic mechanisms at the two synaptic sites – ephaptic/pH-mediated feedback and GABAergic feedforward signaling – may contribute to their different roles in the outer retina: The negative and positive feedback at the HC tip-to-cone synapse can decrease but also increase the cone output signal, respectively, depending on the stimulus context2,10. In contrast, the feedforward HC bulb-to-CBC synapse only provides a GABAergic drive. This signal provides inhibition to balance the excitation in CBCs, along with the activation of the spatial surround of the BC’s receptive field.
The horizontal cell – an interneuron with multiple functions
HCs are not alone among interneurons in implementing distinct computations in a single neuron. Typically, this happens in a context-dependent manner: For example, in low light conditions, AII amacrine cells are central to the primary rod vision pathway, while under photopic conditions they change their role and contribute to approach sensitivity52. For A17 amacrine cells53, which make reciprocal synapses with rod BCs, a functional switch between local and more global processing has been suggested54. Indeed, in the A17 amacrine cell-rod BC synapse, a plethora of transmitter-, voltage- and calcium-activated ion channels modulate inter-synaptic correlation of feedback from A17 amacrine cells to rod BCs55–57. The HC bulb differs in at least two ways: First, the A17 varicosity – as a typical reciprocal synaptic element – is both post- and presynaptic to the rod BC axon terminal. In contrast, HC bulbs are feedforward synapses to CBCs, likely without direct glutamatergic input – although they might be reciprocal synapses with respect to other HCs. Second, while A17 varicosities use a complex machinery to keep signal processing local (at least at low light levels), HC bulbs likely integrate signals from many tips arriving via the primary dendrites.
Note that AII and A17 amacrine cells likely fulfill either one or the other function – depending on the light level. However, there are also cases where interneurons perform different functions simultaneously: For instance, VG3 amacrine cells enhance motion sensitivity in several retinal circuits by providing excitatory and inhibitory drive at distinct synaptic sites58,59. Intriguingly, our findings suggest that HCs also fall into this category, as their feedback and feedforward signaling are apparently performed simultaneously at distinct synaptic sites via different synaptic mechanisms.
STAR Methods
Resource Availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Timm Schubert (timm.schubert@cin.uni-tuebingen.de).
Materials availability
This study did not generate new unique reagents.
Data and code availability
This paper analyzes existing, publicly available data (see key resources data). Additional data used for this analysis has been deposited. DOIs are listed in the key resources table. All derived data used for data analyses is published together with the code (see https://github.com/berenslab/hc-connectivity). All other raw data reported in this paper will be shared by the lead contact upon request.
All original code and data to rerun the analyses are available (see https://github.com/berenslab/hc-connectivity)
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
Key resources table.
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Anti-GABA ρ2 Receptor (GABRR2) Rabbit Polyclonal Antibody | Alomone Labs | Cat# AGA-007 |
Anti-Secretagogin, Sheep Polyclonal Antibody | BioVendor | Cat# RD184120100 |
Bacterial and virus strains | ||
AAV2.7m8.hSyn.iGluSnFR | D. Dalkara, Institut de la Vision, Paris, France | |
AAV2/1-eF1α-DIO-JEDI-2P | F. St-Pierre, Department of Neuroscience, Baylor College of Medicine, Houston, USA | |
Chemicals, peptides, and recombinant proteins | ||
Alexa Fluor 568 hydrazide | Thermo Fisher | Cat# A10437 |
Deposited data | ||
Jupyter notebooks, analysis scripts and data | This paper | https://github.com/berenslab/hc-connectivity |
SBEM dataset e2006 | 22 | https://www.neuro.mpg.de/connectomics |
Experimental models: Organisms/strains | ||
Wildtyp mouse line: C57BL/6J | The Jackson Laboratory | Stock No: 000664 |
Transgenic mouse line: Cx57cre/+ | Own breeding colony | Ströh et al (2013). PLoS One 8, 15–17 |
Software and algorithms | ||
KNOSSOS 5.1 | 60 | www.knossos.app |
FIJI | 63 | https://imagej.net/software/fiji/ |
Scan M | M. Müller, MPI for Neurobiology; and T. Euler | NA |
IGOR Pro 6.3 | Wavemetrics | https://www.wavemetrics.com/products/igorpro |
Python 3.8 | https://www.python.org/ | |
R | https://www.r-project.org/ | |
Vaa3D | 61 | https://alleninstitute.org/what-we-do/brain-science/research/products-tools/vaa3d/ |
NeuronC 6.3.50 | 48 | http://retina.anatomy.upenn.edu/~rob/neuronc.html |
Experimental Model and Subject Details
All animal procedures were approved by the governmental review boards (Regierungspräsidium Tübingen, Baden-Württemberg, Konrad-Adenauer-Str. 20, 72072 Tübingen, Germany; Niedersächsisches Landesamt für Verbraucherschutz und Lebensmittelsicherheit, Martin-Niemöller-Straβe 2, 26133 Oldenburg, Germany; Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen, Leibnitzstraße 10, 45659 Recklinghausen) and performed according to the laws governing animal experimentation issued by the German Government. Owing to the exploratory nature of our study, we did not use randomization and blinding. No statistical methods were used to predetermine sample size.
For anatomical experiments (dye injection, immunolabeling), we used 3–6 month-old C57BL/6J mice of either sex. For the anatomical FIB-SEM experiments, a 14-week-old adult male C57BL/6J mouse was used. For two-photon imaging, we used 8 to 15-week-old Cx57cre/+ mice of either sex (n = 3 for glutamate recordings; n = 1 for voltage recordings).
Method Details
Tracing in existing SBEM dataset
Our analysis is based on the scanning block-face EM (SBEM) dataset e200622 (https://www.neuro.mpg.de/connectomics). The dataset covers a piece of mouse retina of 132 × 114 × 80 μm with a resolution of 16.5 × 16.5 × 25 nm. We identified the somata of 15 HCs and skeletonized the dendrites of the five central HC using the software package KNOSSOS60 (www.knossos.app). We used algorithms published with the dataset to reconstruct the volumes of HCs, BCs, and cone axon terminals in the OPL and to identify their contacts (for details see7).
We manually identified HC bulbs and their contacts. To compare the dendritic diameter profile around the bulbs with the one of random points on the dendrite (Figure 2C), we used the Vaa3D-Neuron2 auto-tracing61,62 to get a simplified representation of the HC morphologies from the volume reconstruction, consisting of a regularly spaced grid of nodes with associated diameters. For each bulb position we identified the closest node and extracted the dendritic diameter profile around it. For a fair comparison to average points on the dendrite, we drew a random set of nodes with distributions of average distances from soma and tips matching the bulb locations.
To show that the bulbs are evenly distributed within the HC dendritic field, we compared the distribution of bulb nearest neighbor distances to that of random points (Figure 2F). For each HC, we drew as many random points on its dendrites as the cell had bulbs. We then calculated the nearest neighbor distances for both bulb and random point locations within each HC and plotted the binned nearest neighbor distances for all HCs.
To calculate the statistics of HC-to-BC contacts at bulbs, we included only BCs where the center of the BC dendritic field was within the dendritic field of at least one of the reconstructed HC. With this method, the numbers in Figure 2I and 2J are a lower bound. For the HCs, additional contacts on branches ending outside the dataset are possible as well as contacts from BCs with soma outside of the dataset, especially for larger types such as CBC types 8 and 9. The number of bulb contacts per CBC is also a conservative estimate, because the true coverage factor of HC dendrites is about 5–7, while we have only five overlapping HCs in the center and coverage is decreasing to ~1 towards the edges of the dataset.
Animals and tissue preparation
For anatomical experiments, animals were deeply anesthetized with CO2 and euthanized by cervical dislocation. Eyes were enucleated and instantly transferred to extracellular solution (in mM: 110 NaCl, 2.5 KCl, 1 CaCl2, 1.6 MgCl2, 10 glucose, 22 NaHCO3, adjusted to pH 7.4 witch 95% O2/5% CO2). Cornea, lens and vitreous body were removed, the retina was dissected from the eyecup and flat-mounted on filter paper, ganglion cells facing up.
For the anatomical FIB-SEM experiments, a 14-week-old adult male C57BL/6J mouse was deeply anesthetized with isoflurane and decapitated before the eyes were dissected. The posterior eyecups were immersion fixed in a solution containing 0.1 M cacodylate buffer, 4% sucrose and 2% glutaraldehyde, and then rinsed in 0.15 M cacodylate buffer.
For two-photon imaging experiments, animals were housed under a standard 12 h day/night rhythm at 22° C and 55% humidity. The viral construct AAV2.7m8.hSyn.iGluSnFR was generated by D. Dalkara (Inserm, Paris; Khabou et al. 2016), based on a plasmid construct provided by J. Marvin and L. Looger (Janelia Research Campus, USA). The viral construct AAV2/1-eF1α-DIO-JEDI-2P was generated by F. St-Pierre using the AAV expression plasmid developed here (see: Plasmid construction). A volume of 1 μl of the viral construct was then injected into the vitreous body in a mouse anaesthetized with 10% ketamine (Bela-Pharm GmbH & Co. KG) and 2% xylazine (Rompun, Bayer Vital GmbH) in 0.9% NaCl (Fresenius). For the injections, we used a micromanipulator (World Precision Instruments) and a Hamilton injection system (syringe: 7634-01, needles: 207434, point style 3, length 51 mm, Hamilton Messtechnik GmbH). Imaging experiments were performed 4 weeks after injection. Before the activity recordings, animals were dark-adapted for ≥1 h, then anaesthetized with isoflurane (Baxter) and killed by cervical dislocation. The eyes were enucleated and hemisected in carboxygenated (95% O2, 5% CO2) artificial cerebrospinal fluid (ACSF) solution containing (in mM): 125 NaCl, 2.5 KCl, 2 CaCl2, 1 MgCl2, 1.25 NaH2PO4, 26 NaHCO3, 20 glucose, and 0.5 L-glutamine (pH 7.4). Then, the retina was flat-mounted on filter paper and was moved to the recording chamber, where it was continuously perfused with carboxygenated ACSF at ~36°C. All procedures were carried out under very dim red (>650 nm) light.
Horizontal cell injections and immunolabeling for secretagogin and GABA receptors
Six HCs were injected using Alexa Fluor 568 hydrazide (sodium salt in 200 mM KCl, Thermo Fisher, Karlsruhe, Germany)as described before63. In brief, cell nuclei in the retinal whole-mount preparation were visualized with DAPI labeling. Based on depth and size of the nuclei, HCs were identified and then injected with Alexa Fluor 568 using sharp electrodes and subsequently fixed with 4% paraformaldehyde. Retinal wholemounts were then incubated into primary and secondary antibodies for 7 and 2 days, respectively. GABARρ2 (rabbit, AGA-007, Alomone Labs, Jerusalem, Israel) and secretagogin (sheep, RD184120100, BioVendor, Brno, Czech Republic) polyclonal antibodies were used at a dilution of 1:500 and 1:1000, respectively. All steps were carried out at room temperature. All images were scanned with a Leica TCS SP8 confocal microscope using a 40x/1.3 oil objective. Data was deconvolved with Huygens Essential software (Scientific Volume Imaging, Hilversum, Netherlands), using a theoretical point spread function and further processed in Fiji64. Deconvolved stacks were normalized using stack histograms prior to colocalization analysis. Images were adjusted for brightness and contrast in Fiji for presentation purpose. Unless stated otherwise, images are shown as maximum projections of the z-stacks. However, the colocalization analysis (see next section) itself were carried out within each optical section.
Three-Dimensional Electron Microscopy using FIB-SEM
Focused ion beam-scanning electron microscopy (FIB-SEM tomography) allows efficient, complete, and automatic 3D reconstruction of HC dendrites with a resolution comparable to that of TEM65,66. A 1 × 1 mm2 piece of a fixed C57BL/6J mouse retina (see Animals and tissue preparation) was stained in a solution containing 1% osmium tetroxide, 1.5% potassium ferrocyanide, and 0.15 M cacodylate buffer. The osmium stain was amplified with 1% thiocarbohydrazide and 2% osmium tetroxide. The retina was then stained with 2% aqueous uranyl acetate and lead aspartate. The tissue was dehydrated through an 70–100% ethanol series, transferred to propylene oxide, infiltrated with 50%/50% propylene oxide/Epon Hard, and then 100% Epon Hard. The Epon Hard block was hardened at 60°C.
Next, the block was prepared for FIB-SEM tomography. The sample was trimmed using an ultramicrotome (Leica UC 7) and afterwards glued onto a special sample stub (caesar workshop) using conductive silver paint. To avoid charge artifacts, all surfaces of the block were sputter-coated with 30 nm AuPd (80/20). A focused ion dual beam (FIB) workstation (XB 1540, Carl Zeiss Microscopy, Oberkochen, Germany) was used for tomogram acquisition. This instrument uses a focused gallium ion beam that can mill the sample at an angle of 54° with respect to the electron beam. A digital 24-bit scan-generator (ATLAS5, Carl Zeiss) was used to control ion and electron beam. The sample was milled using an ion beam of 1nA at an energy of 30 kV. Images were collected at an energy of 2 kV using a pixel size of 5 × 5 nm (x,y) and a layer thickness of 15 nm (z). Compared with resolution of the SBEM dataset 2006e (16.5 × 16.5 × 25 nm), the x,y resolution was increased by the factor 3.3 and 1.7, respectively. Milling and imaging was performed simultaneously to compensate for charging effects. The raw images were converted into an image stack, black areas were cropped, and the images were aligned using cross correlation67. HC dendrites were manually identified in ImageJ.
Plasmid construction
JEDI-2P (manuscript submitted) was cloned in a Cre-dependent (floxed) Adeno-Associated Virus (AAV) expression vector with the strong constitutive promoter eF1α (Addgene plasmid #20298). hChR2(H134R)-EYFP in the original vector was replaced with JEDI-2P using standard molecular biology techniques, resulting in the vector pAAV-eF1α-DIO-JEDI-2P (GenBank ID: in progress; Addgene plasmid #: in progress).
Two-photon glutamate and voltage imaging
We used a MOM-type two-photon microscope68 (purchased from Sutter Instruments/Science Products). In brief, the system was equipped with a mode-locked Ti:Sapphire laser (MaiTai-HP DeepSee, Newport Spectra-Physics) to 927 nm, two fluorescence detection channels for iGluSnFR or JEDI-2P (HQ 510/84, AHF/Chroma) and SR101 (HQ 630/60, AHF), and a water immersion objective (W Plan-Apochromat ×20/1.0 DIC M27, Zeiss). We used custom-made image acquisition software (ScanM by M. Müller and T.E.) running under IGOR Pro 6.3 for Windows (Wavemetrics, Lake Oswego, USA), taking time-lapsed 128 × 128-pixel horizontal (x-y) scans (at 3.9 Hz) for glutamate and JEDI-2P imaging in the outer plexiform layer (OPL). For high resolution images, we used 512 × 512-pixel x-y scans. For axial (x-z) glutamate imaging in the OPL, we recorded time-lapsed 128 × 48-pixel x-z scans (at 13 Hz) using an electrically tunable lens30.
For light stimulation, a DLP projector (lightcrafter (LCr), DPM-E4500UVBGMKII, EKB Technologies Ltd) with internal UV and green light-emitting diodes (LEDs) was focused through the objective (TTO)69. To optimize spectral separation of mouse M- and S-opsins, LEDs were band-pass filtered (390/576 Dualband, F59-003, AHF/Chroma). LEDs were synchronized with the microscope’s scan retrace. Stimulator intensity (as photoisomerization rate, 103 P* per s per cone) was calibrated to range from ~0.5 (black image) to ~20 for M- and S-opsins, respectively. In addition, a steady illumination component of ~104 P* per s per cone was present during the recordings because of two-photon excitation of photopigments68,70. For all experiments, the tissue was kept at a constant mean stimulator intensity level for at least 15 s after the laser scanning started before light stimuli were presented. For glutamate imaging, two types of light stimuli were used: (1) full-field (700 μm in diameter) UV-green-white flashes, and (2) local (100 μm in diameter) chirp stimuli71. For voltage imaging, full-field white flashes were used.
Data analysis was performed using IGOR Pro. ROIs were defined automatically by custom correlation-based algorithms, as described before72. For glutamate imaging, the correlation threshold that was used to define ROIs at tip and bulbs level was 0.07 and 0.05, respectively. We used a lower threshold for bulbs because the overall correlations in these regions were lower. For voltage imaging, ROI size was restricted to 3 μm (in diameter) and a maximum of 6 pixels/ROI, at HC tips, bulbs, and somata. ROIs of bulbs and somata were separated manually based on a higher-resolution scan of the recorded anatomical structures. To measure the reliability of the ROI/pixel glutamate responses to the UV-green-white flashes and the chirp stimulus, we computed the signal-to-noise ratio, as described before72,73. To estimate the similarity between voltage traces, we computed the Pearson correlation coefficient.
Modeling
We built a biophysically realistic model of a HC dendritic branch using the simulation language NeuronC74. We used Vaa3D-Neuron2 auto-tracing61,62 to generate a .swc file from the volume reconstruction of one HC branch and manually refined it in Neuromantic75. The model contains voltage-gated Ca2+ and K+ channels with different channel densities for proximal and distal dendrites and AMPA-type glutamate receptors at the cone synapses (Table S2). Photoreceptors were modelled as predefined in NeuronC with two compartments including voltage-gated Ca2+ and Ca2+-activated Cl− channels. Cones were placed at the original positions with one synapse per invaginating HC dendritic tip found in the EM data. The synapses to the HC include postsynaptic AMPA channels modelled as Markov state-machines that included vesicle release noise. The model was stimulated for 60 s with both full-field and checkerboard Gaussian noise with a temporal frequency of 2 Hz and equal variance. The checkerboard stimulus consisted of independent pixels of 5 × 5 μm size such that all cones were stimulated independently. Voltage signals were recorded in a dendritic tip below each of the 12 cones and in 14 bulbs identified along the dendrite.
Quantification and Statistical Analysis
Colocalization analysis
Colocalization was defined as the signal overlap between the synaptic immunolabels (secretagogin and/or GABARρ2) and the dye-injected HCs. Areas with signal overlap in the HC stacks were determined by using the ‘colocalization highlighter’ plugin in Fiji64 as described previously76. This plugin basically generates binary images highlighting overlapping regions where two channels of interest display values above a pre-determined threshold and a certain intensity ratio.
The three channels of interest were segmented using automatic-thresholds in Fiji. In principle, these thresholds classify signals in a stack into ‘objects’ and ‘background’. Stack histograms were considered for the segmentation step. Algorithms were chosen such that the segmented stacks best resembled the original deconvolved stacks. This was achieved by testing all the available algorithms in six HC stacks. ‘MaxEntropy’ and ‘Otsu’ was applied to HC and GABARρ2 channels, respectively. An average of ‘Default’ and ‘Li’ typically produced the best results for secretagogin channels and was accordingly chosen. The obtained threshold values were used to identify the colocalizing points between the two channels of interest. A default intensity ratio of 50% was set for all colocalization analyses. To determine colocalization between the three channels, the analysis was conducted sequentially: First, between HC and secretagogin, then between HC and GABARρ2, and finally, between the binary images obtained from the first two analysis. A threshold of 1 was used for the binary images.
The resulting binary images were merged with the original HC stack, thus projecting the colocalizing points onto the cell (Figure 3D). To minimize false-positive colocalization or overestimation, only an overlap of 10 connected voxels or larger was considered as truly colocalized (note that images were scanned at a voxel size of 47 × 47 × 170 nm). Next, the ‘3D Objects Counter’ Fiji plugin was used to identify objects larger than 10 voxels. Bulbs in the HC stacks were isolated by intersection of the HC channel with manually drawn masks around them. Finally, the bulbs with true colocalization were counted.
Finally, to rule out any chance-level colocalization, we repeated the colocalization analysis on the stacks with HC channel rotated clockwise by 90° relative to the GABARρ2 and secretagogin channels. To test for significance, we fitted for each marker condition the colocalization at individual bulbs as generalized linear mixed model with binomial output distribution and Wishart prior and fixed effect rotation and random effect HC identity using the R package blme. For all colocalization conditions the model shows rotation as a significant effect (Table S1).
To verify the colocalization detection, we repeated it with an additional method. Here, every bulb in the original HC stacks was visually inspected for potential colocalization within individual optical sections. A 2-μm line centered at the presumed colocalizing point was drawn in the merged RGB images63. Next, pixel intensities for the three channels of interest were plotted. If the intensity peaks of a pair of channels were separated by less than 0.25 μm, we considered this “true” colocalization. This colocalization threshold of 0.25 μm is about the maximum x-y resolution that can be achieved in our scanning conditions. The results obtained by both methods were consistent.
Statistics
Error bars in all plots are 95% confidence intervals (CIs) calculated as percentiles of the bootstrap distribution obtained via case resampling. In Figure 1F and 1G, we fitted generalized additive models77 (R package mgcv) with Poisson output distribution for skeleton tips (Figure 1F) and Gamma output distribution for contact area (Figure 1G). Both had distance from soma as a smooth function and HC identity as smooth random effect. We used the two-sided Wilcoxon rank-sum test for quantifying difference in quality indices of glutamate traces between ROIs at the level of the HC tips and ROIs at the level of the primary dendrites.
To test for significant differences of the correlations shown in Figure 7E and 7F, we used a permutation test setup. With this test, we compared blocks of the correlation matrices shown in Figure 7E against each other. Each block showed the correlation of a set of source ROIs (rows) to a set of reference ROIs (columns). By construction, a block either represented within-ROI-type correlations (e.g. tips-to-tips), or between-ROI-type correlations (e.g. tips-to-bulbs). To summarize all correlations of a block, we took the average across its reference ROIs or columns, yielding a mean correlation for each source ROI. Next, we used those values to quantify the difference between two blocks by running a t-test on them. When the source ROIs were the same in both blocks, we used a paired-sample t-test. Otherwise, we used an independent two-sample t-test. This resulted in an empirical t-value. To test for significance, we obtained a null distribution over this t-value by permuting the ROI type labels of the traces and then repeating the above procedure 1,000 times, resulting in 1,000 t-values. Finally, we computed the p-value for the test as the percentile of the empirical t-value in the null distribution. To make the test two-sided, we used absolute t-values in all computation. The significance threshold was p=0.05.
We performed this test for all possible comparisons of within-type correlations (e.g. tips-tips vs. bulbs-bulbs). This amounts to comparing the blocks on the diagonal of the correlation matrix against each other, and always uses the independent t-statistic. All three tests were significant. Furthermore, for each ROI type, we compared its within-type correlations to its correlations with other types. This means that we compared a block on the diagonal with an off-diagonal block. When comparing blocks above/below each other, the source ROIs were different, so we used the independent t-statistic. Of the six resulting tests, all were significant (p < 0.001) except for tips-tips vs. tips-bulbs (p = 0.209). When comparing blocks left/right to each other, the source ROIs in the compared blocks were identical, so we used the paired t-statistic. Of the six resulting tests, all were significant (p < 0.001) except for tips-tips vs. bulbs-tips (p = 0.7) and tips-tips vs. soma-tips (p = 0.07).
Supplementary Material
Highlights.
Horizontal cells show segments of increased diameter (bulbs) on their dendrites.
Bulbs contact both bipolar cells and other horizontal cells.
Bulb contacts are GABAergic synapses.
Horizontal cells could provide global signals to bipolar cells at bulbs.
Acknowledgments
This work was supported by the German Research Foundation (DFG) through individual grants (SCHU2243/3-1 to TS and BE5601/6-1 to PB), a Heisenberg professorship (BE5601/4-1 to PB), the priority program SPP2041 (BE5601/2-1 to PB, EU 42/9-1 to TE), and the Excellence Cluster “Machine Learning – New Perspectives for Science (EXC 2064 – 390727645), the German Ministry of Education and Research through the Bernstein Award (FKZ 01GQ1601 to PB) and the Tübingen AI Center (FKZ 01IS18039A) and NIH grants (EY023766 to TE & RGS; EY022070 to RGS and R01EB027145 and U01NS113294 to F.S.-P.), the Klingenstein-Simons Fellowship Award in Neuroscience (F.S.-P.), the McNair Medical Foundation (F.S.-P.), Welch Foundation grant Q-2016-20190330 (F.S.-P.), and NeuroNex grant 1707359 (F.S.-P.)
We gratefully acknowledge Dr. Benjamin Arenkiel, Joshua Ortiz-Guzman, and Zihong Chen at the Texas Children’s Hospital Neuroconnectivity Core for packaging JEDI-2P in AAVs (this Core is supported by NIH grant P50HD103555 and the Charif Souki Fund) and Jonathan Oesterle for discussion.
Footnotes
Declaration of Interest
The authors declare no competing interests.
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References
- 1.Thoreson WB, and Mangel SC (2012). Lateral interactions in the outer retina. Prog. Retin. Eye Res. 31, 407–441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Smith RG (1995). Simulation of an anatomically defined local circuit: The cone-horizontal cell network in cat retina. Vis. Neurosci. 12, 545–561. [DOI] [PubMed] [Google Scholar]
- 3.Drinnenberg A, Franke F, Morikawa RK, Jüttner J, Hillier D, Hantz P, Hierlemann A, Azeredo da Silveira R, and Roska B (2018). How Diverse Retinal Functions Arise from Feedback at the First Visual Synapse. Neuron 99, 117–134.e11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ströh S, Puller C, Swirski S, Hölzel M-B, van der Linde LIS, Segelken J, Schultz K, Block C, Monyer H, Willecke K, et al. (2018). Eliminating Glutamatergic Input onto Horizontal Cells Changes the Dynamic Range and Receptive Field Organization of Mouse Retinal Ganglion Cells. J. Neurosci. 38, 0141–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wässle H, Puller C, Müller F, and Haverkamp S (2009). Cone contacts, mosaics, and territories of bipolar cells in the mouse retina. J. Neurosci. 29, 106–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Tsukamoto Y, and Omi N (2014). Some OFF bipolar cell types make contact with both rods and cones in macaque and mouse retinas. Front. Neuroanat. 8, 105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Behrens C, Schubert T, Haverkamp S, Euler T, and Berens P (2016). Connectivity map of bipolar cells and photoreceptors in the mouse retina. Elife 5, 065722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Haverkamp S, Grünert U, and Wässle H (2000). The Cone Pedicle, a Complex Synapse in the Retina. Neuron 27, 85–95. [DOI] [PubMed] [Google Scholar]
- 9.Liu X, Hirano AA, Sun X, Brecha NC, and Barnes S (2013). Calcium channels in rat horizontal cells regulate feedback inhibition of photoreceptors through an unconventional GABA- and pH-sensitive mechanism. J. Physiol. 591, 3309–3324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kemmler R, Schultz K, Dedek K, Euler T, and Schubert T (2014). Differential Regulation of Cone Calcium Signals by Different Horizontal Cell Feedback Mechanisms in the Mouse Retina. J. Neurosci. 34, 11826–11843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Grove JCRR, Hirano AA, de los Santos J, McHugh CF, Purohit S, Field GD, Brecha NC, and Barnes S (2019). Novel hybrid action of GABA mediates inhibitory feedback in the mammalian retina. PLOS Biol. 17, e3000200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Yang X, and Wu S (1991). Feedforward lateral inhibition in retinal bipolar cells: input-output relation of the horizontal cell-depolarizing bipolar cell synapse. Pnas 88, 3310–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Diamond JS (2017). Inhibitory Interneurons in the Retina: Types, Circuitry, and Function. Annu. Rev. Vis. Sci. 3, 1–24. [DOI] [PubMed] [Google Scholar]
- 14.Jackman SL, Babai N, Chambers JJ, Thoreson WB, and Kramer RH (2011). A positive feedback synapse from retinal horizontal cells to cone photoreceptors. PLoS Biol. 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Chapot CA, Behrens C, Rogerson LE, Baden T, Pop S, Berens P, Euler T, and Schubert T (2017). Local Signals in Mouse Horizontal Cell Dendrites. Curr. Biol. 27, 3603–3615.e5. [DOI] [PubMed] [Google Scholar]
- 16.Olney JW (1968). An electron microscopic study of synapse formation, receptor outer segment development, and other aspects of developing mouse retina. Invest. Ophthalmol. Vis. Sci. 7, 250–68. [PubMed] [Google Scholar]
- 17.Kolb H (1977). The organization of the outer plexiform layer in the retina of the cat: electron microscopic observations. J. Neurocytol. 6, 131–153. [DOI] [PubMed] [Google Scholar]
- 18.Linberg KA, and Fisher SK (1988). Ultrastructural evidence that horizontal cell axon terminals are presynaptic in the human retina. J. Comp. Neurol. 268, 281–297. [DOI] [PubMed] [Google Scholar]
- 19.Dowling JE, Brown JE, and Major D (1966). Synapses of Horizontal Cells in Rabbit and Cat Retinas. Science (80-.). 153, 1639–1641. [DOI] [PubMed] [Google Scholar]
- 20.Marchiafava PL (1978). Horizontal cells influence membrane potential of bipolar cells in the retina of the turtle. Nature 275, 141–142. [DOI] [PubMed] [Google Scholar]
- 21.Duebel J, Haverkamp S, Schleich W, Feng G, Augustine GJ, Kuner T, and Euler T (2006). Two-Photon Imaging Reveals Somatodendritic Chloride Gradient in Retinal ON-Type Bipolar Cells Expressing the Biosensor Clomeleon. Neuron 49, 81–94. [DOI] [PubMed] [Google Scholar]
- 22.Helmstaedter M, Briggman KL, Turaga SC, Jain V, Seung HS, and Denk W (2013). Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature 500, 168–74. [DOI] [PubMed] [Google Scholar]
- 23.Puthussery T, Gayet-Primo J, and Taylor WR (2010). Localization of the calcium-binding protein secretagogin in cone bipolar cells of the mammalian retina. J. Comp. Neurol. 518, 513–525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Feigenspan A, and Weiler R (2004). Electrophysiological properties of mouse horizontal cell GABAA receptors. J. Neurophysiol. 92, 2789–2801. [DOI] [PubMed] [Google Scholar]
- 25.Hirano AA, Vuong HE, Kornmann HL, Schietroma C, Stella SL, Barnes S, and Brecha NC (2020). Vesicular Release of GABA by Mammalian Horizontal Cells Mediates Inhibitory Output to Photoreceptors. Front. Cell. Neurosci. 14, 600777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gala R, Lebrecht D, Sahlender DA, Jorstad A, Knott G, Holtmaat A, and Stepanyants A (2017). Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images. Elife 6, 1–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Turner NL, Macrina T, Bae JA, Yang R, Wilson AM, Schneider-Mizell C, Lee K, Lu R, Wu J, Bodor AL, et al. (2020). Multiscale and multimodal reconstruction of cortical structure and function. bioRxiv. [Google Scholar]
- 28.Ströh S, Sonntag S, Janssen-Bienhold U, Schultz K, Cimiotti K, Weiler R, Willecke K, and Dedek K (2013). Cell-specific cre recombinase expression allows selective ablation of glutamate receptors from mouse horizontal cells. PLoS One 8, 15–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Marvin JS, Borghuis BG, Tian L, Cichon J, Harnett MT, Akerboom J, Gordus A, Renninger SL, Chen T-W, Bargmann CI, et al. (2013). An optimized fluorescent probe for visualizing glutamate neurotransmission. Nat. Methods 10, 162–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Zhao Z, Klindt DA, Maia Chagas A, Szatko KP, Rogerson L, Protti DA, Behrens C, Dalkara D, Schubert T, Bethge M, et al. (2020). The temporal structure of the inner retina at a single glance. Sci. Rep. 10, 4399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chamberland S, Yang HH, Pan MM, Evans SW, Guan S, Chavarha M, Yang Y, Salesse C, Wu H, Wu JC, et al. (2017). Fast two-photon imaging of subcellular voltage dynamics in neuronal tissue with genetically encoded indicators. Elife 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Barnes S, Merchant V, and Mahmud F (1993). Modulation of transmission gain by protons at the photoreceptor output synapse. Proc. Natl. Acad. Sci. 90, 10081–10085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Verweij J, Kamermans M, and Spekreijse H (1996). Horizontal cells feed back to cones by shifting the cone calcium-current activation range. Vision Res. 36, 3943–3953. [DOI] [PubMed] [Google Scholar]
- 34.Werblin FS, and Dowling JE (1969). Organization of the retina of the mudpuppy, Necturus maculosus. II. Intracellular recording. J. Neurophysiol. 32, 339–355. [DOI] [PubMed] [Google Scholar]
- 35.Schwartz EA (1974). Responses of bipolar cells in the retina of the turtle. J. Physiol. 236, 211–224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Miller RF, and Dacheux RF (1976). Synaptic organization and ionic basis of on and off channels in mudpuppy retina. I. Intracellular analysis of chloride-sensitive electrogenic properties of receptors, horizontal cells, bipolar cells, and amacrine cells. J. Gen. Physiol. 67, 639–659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Vardi N, Zhang L-L, Payne JA, and Sterling P (2000). Evidence That Different Cation Chloride Cotransporters in Retinal Neurons Allow Opposite Responses to GABA. J. Neurosci. 20, 7657–7663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Ellias SA, and Stevens JK (1980). The dendritic varicosity: a mechanism for electrically isolating the dendrites of cat retinal amacrine cells? Brain Res. 196, 365–372. [DOI] [PubMed] [Google Scholar]
- 39.Zampighi GA, Schietroma C, Zampighi LM, Woodruff M, Wright EM, and Brecha NC (2011). Conical Tomography of a Ribbon Synapse: Structural Evidence for Vesicle Fusion. PLoS One 6, e16944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zampighi GA, Fain N, Zampighi LM, Cantele F, Lanzavecchia S, and Wright EM (2008). Conical Electron Tomography of a Chemical Synapse: Polyhedral Cages Dock Vesicles to the Active Zone. J. Neurosci. 28, 4151–4160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Briggman KL, Helmstaedter M, and Denk W (2011). Wiring specificity in the direction-selectivity circuit of the retina. Nature 471, 183–190. [DOI] [PubMed] [Google Scholar]
- 42.Fulton KA, and Briggman KL (2021). Permeabilization-free en bloc immunohistochemistry for correlative microscopy. Elife 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kamermans M, and Werblin FS (1992). GABA-mediated positive autofeedback loop controls horizontal cell kinetics in tiger salamander retina. J. Neurosci. 12, 2451–2463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.He S, Weiler R, and Vaney DI (2000). Endogenous dopaminergic regulation of horizontal cell coupling in the mammalian retina. J. Comp. Neurol. 418, 33–40. [DOI] [PubMed] [Google Scholar]
- 45.Janssen-Bienhold U, Trümpler J, Hilgen G, Schultz K, De Sevilla Muller LP, Sonntag S, Dedek K, Dirks P, Willecke K, and Weiler R (2009). Connexin57 is expressed in dendro-dendritic and axo-axonal gap junctions of mouse horizontal cells and its distribution is modulated by light. J. Comp. Neurol. 513, 363–374. [DOI] [PubMed] [Google Scholar]
- 46.DeVries SH, Li W, and Saszik S (2006). Parallel Processing in Two Transmitter Microenvironments at the Cone Photoreceptor Synapse. Neuron 50, 735–748. [DOI] [PubMed] [Google Scholar]
- 47.Turrigiano GG (2012). Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function. Cold Spring Harb. Perspect. Biol. 4, a005736–a005736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Warren TJ, Van Hook MJ, Supuran CT, and Thoreson WB (2016). Sources of protons and a role for bicarbonate in inhibitory feedback from horizontal cells to cones in Ambystoma tigrinum retina. J. Physiol. 594, 6661–6677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Borghuis BG, Ratliff CP, and Smith RG (2018). Impact of light-adaptive mechanisms on mammalian retinal visual encoding at high light levels. J. Neurophysiol. 119, 1437–1449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Srinivasan MV, Laughlin SB, and Dubs A (1982). Predictive coding: a fresh view of inhibition in the retina. Proc. R. Soc. London. Ser. B. Biol. Sci. 216, 427–459. [DOI] [PubMed] [Google Scholar]
- 51.Vroman R, Klaassen LJ, Howlett MHC, Cenedese V, Klooster J, Sjoerdsma T, and Kamermans M (2014). Extracellular ATP Hydrolysis Inhibits Synaptic Transmission by Increasing pH Buffering in the Synaptic Cleft. PLoS Biol. 12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Münch TA, Da Silveira RA, Siegert S, Viney TJ, Awatramani GB, and Roska B (2009). Approach sensitivity in the retina processed by a multifunctional neural circuit. Nat. Neurosci. 12, 1308–1316. [DOI] [PubMed] [Google Scholar]
- 53.Hartveit E (1999). Reciprocal Synaptic Interactions Between Rod Bipolar Cells and Amacrine Cells in the Rat Retina. J. Neurophysiol. 81, 2923–2936. [DOI] [PubMed] [Google Scholar]
- 54.Schubert T, and Euler T (2010). Retinal Processing: Global Players Like It Local. Curr. Biol. 20, R486–R488. [DOI] [PubMed] [Google Scholar]
- 55.Grimes WN, Hoon M, Briggman KL, Wong RO, and Rieke F (2014). Cross-synaptic synchrony and transmission of signal and noise across the mouse retina. Elife 3, e03892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Chavez AE, Grimes WN, and Diamond JS (2010). Mechanisms Underlying Lateral GABAergic Feedback onto Rod Bipolar Cells in Rat Retina. J. Neurosci. 30, 2330–2339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Grimes WN, Li W, Chávez AE, and Diamond JS (2009). BK channels modulate pre- and postsynaptic signaling at reciprocal synapses in retina. Nat. Neurosci. 12, 585–592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Lee S, Zhang Y, Chen M, and Zhou ZJ (2016). Segregated Glycine-Glutamate Co-transmission from vGluT3 Amacrine Cells to Contrast-Suppressed and Contrast-Enhanced Retinal Circuits. Neuron 90, 27–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Tien NW, Kim T, and Kerschensteiner D (2016). Target-Specific Glycinergic Transmission from VGluT3-Expressing Amacrine Cells Shapes Suppressive Contrast Responses in the Retina. Cell Rep. 15, 1369–1375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Helmstaedter M, Briggman KL, and Denk W (2011). High-accuracy neurite reconstruction for high-throughput neuroanatomy. Nat. Neurosci. 14, 1081–1088. [DOI] [PubMed] [Google Scholar]
- 61.Peng H, Ruan Z, Long F, Simpson JH, and Myers EW (2010). V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets. Nat. Biotechnol. 28, 348–353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Xiao H, and Peng H (2013). APP2: Automatic tracing of 3D neuron morphology based on hierarchical pruning of a gray-weighted image distance-tree. Bioinformatics 29, 1448–1454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Yadav SC, Tetenborg S, and Dedek K (2019). Gap Junctions in A8 Amacrine Cells Are Made of Connexin36 but Are Differently Regulated Than Gap Junctions in AII Amacrine Cells. Front. Mol. Neurosci. 12, 1–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Xu CS, Hayworth KJ, Lu Z, Grob P, Hassan AM, García-Cerdán JG, Niyogi KK, Nogales E, Weinberg RJ, and Hess HF (2017). Enhanced FIB-SEM systems for large-volume 3D imaging. Elife 6, 1–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Bosch C, Martí-nez A, Masachs N, Teixeira CM, Fernaud I, Ulloa F, Pérez-Martí-nez E, Lois C, Comella JX, DeFelipe J, et al. (2015). FIB/SEM technology and high-throughput 3D reconstruction of dendritic spines and synapses in GFP-labeled adult-generated neurons. Front. Neuroanat. 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Mastronarde DN (1997). Dual-Axis Tomography: An Approach with Alignment Methods That Preserve Resolution. J. Struct. Biol. 120, 343–352. [DOI] [PubMed] [Google Scholar]
- 68.Euler T, Hausselt SE, Margolis DJ, Breuninger T, Castell X, Detwiler PB, and Denk W (2009). Eyecup scope—optical recordings of light stimulus-evoked fluorescence signals in the retina. Pflügers Arch. - Eur. J. Physiol. 457, 1393–1414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Franke K, Maia Chagas A, Zhao Z, Zimmermann MJY, Bartel P, Qiu Y, Szatko KP, Baden T, and Euler T (2019). An arbitrary-spectrum spatial visual stimulator for vision research. Elife 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Euler T, Franke K, and Baden T (2019). Studying a Light Sensor with Light: Multiphoton Imaging in the Retina. In Multiphoton Microscopy, Hartveit E, ed. (Humana Press Inc.), pp. 225–250. [Google Scholar]
- 71.Szatko KP, Korympidou MM, Ran Y, Berens P, Dalkara D, Schubert T, Euler T, and Franke K (2020). Neural circuits in the mouse retina support color vision in the upper visual field. Nat. Commun. 11, 3481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Franke K, Berens P, Schubert T, Bethge M, Euler T, and Baden T (2017). Inhibition decorrelates visual feature representations in the inner retina. Nature 542, 439–444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Baden T, Berens P, Franke K, Román Rosón M, Bethge M, and Euler T (2016). The functional diversity of retinal ganglion cells in the mouse. Nature 529, 345–350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Smith RG (1992). NeuronC: a computational language for investigating functional architecture of neural circuits. J. Neurosci. Methods 43, 83–108. [DOI] [PubMed] [Google Scholar]
- 75.Myatt DR, Hadlington T, Ascoli GA, and Nasuto SJ (2012). Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology. Front. Neuroinform. 6, 1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Brüggen B, Meyer A, Boven F, Weiler R, and Dedek K (2015). Type 2 wide-field amacrine cells in TH::GFP mice show a homogenous synapse distribution and contact small ganglion cells. Eur. J. Neurosci. 41, 734–747. [DOI] [PubMed] [Google Scholar]
- 77.Wood SN (2017). Generalized Additive Models: An Introduction with R, Second Edition 2nd ed. (Chapman and Hall/CRC; ). [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
This paper analyzes existing, publicly available data (see key resources data). Additional data used for this analysis has been deposited. DOIs are listed in the key resources table. All derived data used for data analyses is published together with the code (see https://github.com/berenslab/hc-connectivity). All other raw data reported in this paper will be shared by the lead contact upon request.
All original code and data to rerun the analyses are available (see https://github.com/berenslab/hc-connectivity)
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
Key resources table.
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Anti-GABA ρ2 Receptor (GABRR2) Rabbit Polyclonal Antibody | Alomone Labs | Cat# AGA-007 |
Anti-Secretagogin, Sheep Polyclonal Antibody | BioVendor | Cat# RD184120100 |
Bacterial and virus strains | ||
AAV2.7m8.hSyn.iGluSnFR | D. Dalkara, Institut de la Vision, Paris, France | |
AAV2/1-eF1α-DIO-JEDI-2P | F. St-Pierre, Department of Neuroscience, Baylor College of Medicine, Houston, USA | |
Chemicals, peptides, and recombinant proteins | ||
Alexa Fluor 568 hydrazide | Thermo Fisher | Cat# A10437 |
Deposited data | ||
Jupyter notebooks, analysis scripts and data | This paper | https://github.com/berenslab/hc-connectivity |
SBEM dataset e2006 | 22 | https://www.neuro.mpg.de/connectomics |
Experimental models: Organisms/strains | ||
Wildtyp mouse line: C57BL/6J | The Jackson Laboratory | Stock No: 000664 |
Transgenic mouse line: Cx57cre/+ | Own breeding colony | Ströh et al (2013). PLoS One 8, 15–17 |
Software and algorithms | ||
KNOSSOS 5.1 | 60 | www.knossos.app |
FIJI | 63 | https://imagej.net/software/fiji/ |
Scan M | M. Müller, MPI for Neurobiology; and T. Euler | NA |
IGOR Pro 6.3 | Wavemetrics | https://www.wavemetrics.com/products/igorpro |
Python 3.8 | https://www.python.org/ | |
R | https://www.r-project.org/ | |
Vaa3D | 61 | https://alleninstitute.org/what-we-do/brain-science/research/products-tools/vaa3d/ |
NeuronC 6.3.50 | 48 | http://retina.anatomy.upenn.edu/~rob/neuronc.html |