Abstract
In the mammalian retina, two types of catecholaminergic amacrine cells have been described. Although dopaminergic type 1 cells are well characterized, the physiology of type 2 cells is, so far, unknown. To target type 2 cells specifically, we used a transgenic mouse line that expresses green fluorescent protein under the control of the tyrosine hydroxylase promoter. Type 2 cells are GABAergic and have an extensive dendritic arbor, which stratifies in the middle of the inner plexiform layer. Our data suggest that type 2 cells comprise two subpopulations with identical physiological properties: one has its somata located in the inner nuclear layer and the other in the ganglion cell layer. Immunostaining with bipolar cell markers suggested that type 2 cells receive excitatory inputs from type 3 OFF and type 5 ON bipolar cells. Consistently, patch-clamp recordings showed that type 2 cells are ON–OFF amacrine cells. Blocking excitatory inputs revealed that different rod and cone pathways are active under scotopic and mesopic light conditions. Blockade of inhibitory inputs led to membrane potential oscillations in type 2 cells, suggesting that GABAergic and glycinergic amacrine cells strongly influence type 2 cell signaling. Among the glycinergic amacrine cells, we identified the VGluT3-immunoreactive amacrine cell as a likely candidate. Collectively, light responses of type 2 cells were remarkably uniform over a wide range of light intensities. These properties point toward a general function of type 2 cells that is maintained under scotopic and mesopic conditions.
Introduction
The mammalian retina contains more than 30 different types of amacrine cells (MacNeil and Masland, 1998; Badea and Nathans, 2004), which presumably each exert unique functions. Amacrine cells receive inputs from bipolar cells, other amacrine cells, and/or ganglion cells. Amacrine cell outputs include feedback inhibition to bipolar cells (Flores-Herr et al., 2001; Molnar and Werblin, 2007), feedforward inhibition to ganglion cells (Cook and McReynolds, 1998; Roska and Werblin, 2001), and (serial) inhibition to other amacrine cells (Hsueh et al., 2008; Eggers and Lukasiewicz, 2010).
Amacrine cells can be divided into different groups according to their dendritic tree size. Narrow-field amacrine cells possess small dendritic arbors (<200 μm), are glycinergic (Menger et al., 1998), and mediate local interactions, often across the ON and OFF sublaminae of the inner plexiform layer (IPL) (Hsueh et al., 2008). Medium-field and wide-field amacrine (WFA) cells exhibit large dendritic arbors (up to 1 mm). These cells are GABAergic and comprise ∼20 subtypes (Badea and Nathans, 2004; Lin and Masland, 2006; Pérez De Sevilla Müller et al., 2007; Dedek et al., 2009; Majumdar et al., 2009). WFA cells either mediate lateral interactions, which are often confined to a single stratum in the IPL (Hsueh et al., 2008), or provide local reciprocal inhibition, as was recently shown for A17 cells (Grimes et al., 2010). Though it is well known that WFA cells are involved in spatiotemporal processing, such as surround inhibition (Lukasiewicz, 2005) or contrast adaptation (Demb, 2008), the connectivity and functional properties of most amacrine cells are largely unknown.
Apart from GABA, WFA cells often release a second neurotransmitter, such as catecholamines or neuropeptides. In the mammalian retina, two types of catecholaminergic amacrine cells have been described (Versaux-Botteri et al., 1986; Mariani and Hokoc, 1988; Zhang et al., 2004): type 1 cells, which are dopaminergic (DA cells); and type 2 cells, which are presumably adrenergic (Versaux-Botteri et al., 1986). DA cells are interplexiform cells and play a major role in retinal light adaptation (Witkovsky, 2004). Recently, DA cells have been shown to receive inputs via en passant synapses from ON bipolar cells (Dumitrescu et al., 2009; Hoshi et al., 2009) and via a centrifugal pathway from melanopsin-expressing ganglion cells (Zhang et al., 2008). In contrast, inputs to type 2 cells have only been described on the ultrastructural level in the monkey retina (Mariani, 1991). To analyze type 2 cells, we used a transgenic mouse line that expresses the green fluorescent protein (GFP) under the tyrosine hydroxylase (TH) promoter (TH::GFP mouse). Using a mouse line expressing a red fluorescent protein under a similar promoter, Zhang et al. (2004) described the morphology and retinotopic density of type 2 cells in the mouse retina but did not analyze their physiology. Here, we used immunohistochemistry and patch-clamp recordings to analyze the response and receptive field properties of type 2 cells and present, to our knowledge, the first characterization of excitatory and inhibitory inputs to type 2 cells.
Materials and Methods
Unless stated otherwise, all chemicals were purchased from Roth.
Animals and tissue preparation.
A transgenic mouse line that expressed GFP under control of the TH promoter on a C57BL/6J genetic background (Matsushita et al., 2002) was used. Mice were housed under a 12 h light/dark cycle. All experiments were performed in accordance with the institutional guidelines for animal welfare and the laws on animal experimentation issued by the German government. Before patch-clamp recordings, mice were dark-adapted between 3 h and overnight. Animals were deeply anesthetized with CO2 and killed by cervical dislocation. Eyes were enucleated and transferred to a dish with carboxygenated (95% O2/5% CO2) Ames' medium (pH 7.4; Sigma) or, for patch-clamp recordings, carboxygenated extracellular solution (in mm: 125 NaCl, 2.5 KCl, 1 CaCl2, 1.6 MgCl2, 25 NaHCO3, 10 glucose, pH 7.4) at room temperature. Eyes were opened and cornea, lens, and vitreous were removed, leaving the retina in the posterior eyecup.
Immunohistochemistry.
Immunohistochemistry was performed as described previously (Dedek et al., 2009). Briefly, the posterior eyecup was fixed for 15–30 min in 2–4% paraformaldehyde in 0.1 m phosphate buffer (PB, pH 7.4). After fixation, eyecups were cryoprotected in 30% sucrose in 0.1 m PB overnight. Vertical cryosections (18 μm) were cut and blocked with 5% chemiblocker (Millipore Bioscience Research Reagents) in 0.1 m PB plus 0.5% Triton X-100 pkus 0.05% NaN3 or with normal goat or donkey serum in PB plus 0.5% Triton X-100 for 1 h at room temperature. The intense GFP signal of the transgenic animals was visible without immunostaining and did not need to be enhanced. Sections were incubated with the primary antibodies listed in Table 1 in the same solutions which were used for blocking. After incubation at 4°C overnight and three washes in 0.1 m PB, secondary antibodies conjugated to Alexa Fluor 488, Alexa Fluor 568 (Invitrogen), Cy3, or Cy5 (Jackson Immunoresearch) were applied at room temperature for 2 h. Secondary antibodies were diluted 1:500 in 5% chemiblocker in 0.1 m PB plus 0.5% Triton X-100 plus 0.05% NaN3 or in 1% serum in 0.1 m PB plus 0.5% Triton X-100. Finally, sections were rinsed extensively in 0.1 m PB and mounted in Vectashield (Vector Laboratories). For controls, the primary antibody was omitted; occasional unspecific labeling of blood vessels was observed for the secondary donkey-anti-mouse Alexa Fluor 568 antibody. Retina whole-mounts were incubated for 5 d in the primary and 3 d in the secondary antibody solutions.
Table 1.
Primary antibodies used in this study
| Antibody | Immunogen | Source | Dilution, species, type |
|---|---|---|---|
| Calret | Guinea pig calretinin, full-length amino acid sequence | Millipore, No. AB1550 | 1:500, goat, polyclonal |
| CaB5 | Recombinant ms CaB5 | F. Haeseleer, Department of Ophthalmology, University of Washington, Seattle, WA | 1:1000, rabbit, polyclonal |
| CtBP2 | Mouse C-terminal binding protein 2, amino acids 361–445 | BD Biosciences, No. 612044 | 1:5000, mouse, monoclonal |
| GABA | GABA coupled to bovine serum albumine | Sigma, No. A-2052 | 1:2000, rabbit, polyclonal |
| GlyRα2 | N-terminal 18 residues of the human GlyRα2 subunit | Santa Cruz Biotechnology, sc-17279 | 1:300, goat, polyclonal |
| TH | Epitope in the mid-portion of the TH molecule | ImmunoStar, 22941 | 1:500, mouse, monoclonal |
| VGluT1 | Amino acids 542–560 of rat VGlut1 | Millipore, AB5905 | 1:10,000, guinea pig, polyclonal |
| VGluT3 | Synthetic peptide from rat VGluT3 protein | Millipore, AB5421 | 1:5000, guinea pig, polyclonal |
Patch-clamp recordings.
For patch-clamp recordings, tissue dissection was performed either in dim red light or using night-vision goggles. The retina was isolated from the pigment epithelium and stored in extracellular solution at room temperature. Before recording, the retinal whole-mount was transferred to a small chamber (volume, ∼1 ml) and continuously superfused with carboxygenated, heated, extracellular solution (35°C, 5 ml/min). A nylon grid was used to flatten the retina. The recording chamber was placed under an upright laser scanning microscope (Leica DM-LFS) equipped with an infrared laser tuned to 850–870 nm (Tsunami Ti:sapphire; Spectra Physics). Using two-photon excitation, GFP-expressing cells were visualized and targeted. Whole-cell patch-clamp recordings were performed to measure light responses from type 2 cells. Glass pipettes (∼5 MΩ) were made from borosilicate capillaries (Hilgenberg) with a P-97 electrode puller (Sutter Instruments). All recordings were done in current-clamp mode using a SEC-05LX amplifier (NPI Electronics). Intracellular solution contained the following (in mm): 125 K-gluconate, 10 KCl, 0.5 EGTA, 10 HEPES, titrated to pH 7.4 with KOH. In initial recordings, 100 μm Alexa Fluor594 (Invitrogen) was added to visualize cell morphology and control for cell identity. In some experiments, 100 μm l-AP4 and/or 100 μm CNQX (both for Ascent Scientific) were added to the extracellular solution to block metabotropic and/or ionotropic non-NMDA glutamate receptors, respectively. In another set of experiments, 1–2 μm strychnine or 100 μm bicuculline were added to block glycinergic or GABAA-mediated transmission, respectively.
Light stimulation.
Visual stimuli were presented via a computer-controlled CRT monitor using QDS 2.0 stimulation software (Thomas Euler, University of Tübingen, Tübingen, Germany). The monitor image was projected through the condenser of the microscope and focused on the level of the photoreceptors on the bottom of the recording chamber. Monitor spectrum and intensity were measured with a spectrometer (USB4000; Ocean Optics) and yielded a maximum photometric luminance of 30 lx, which is in the mesopic range. Following optical conversion standards and assuming an effective rod cross section of 0.67 μm (Lyubarsky et al., 2004), this luminance was calculated to produce 3 × 104 photoisomerizations per rod per second. A set of calibrated neutral density filters (ITOS) was used to attenuate light stimuli up to 5.8 log units, close to the absolute visual threshold.
The light stimulus consisted of white light spots and annular stimuli centered on the soma of the recorded cell. Stimuli were presented without background for 3 s to discern ON and OFF light responses. Each stimulus presentation was followed by a 15 s pause to keep adaptation to a minimum. For area summation measurements, spots with diameters from 50 μm to the full stimulation area (1000 μm) were projected. In general, high-contrast (>95% Michelson) stimuli were applied. For pharmacological experiments, a constant background illumination (0.6 Rh*/rod/s for low/high scotopic, 600 Rh*/rod/s for mesopic conditions) was presented for at least 1 min before measurements and maintained during drug wash-in and wash-out to generate different adaptational conditions.
Data acquisition and analysis.
Data acquisition was done with a BNC-2090 D/A converter (National Instruments) and WinWCP software (John Dempster, Strathclyde University, Glasgow, UK). Data were sampled at 10 kHz, low-pass filtered at 3–5 kHz, and evaluated offline using WinWCP. All electrophysiological data were averaged from three trials. To quantify light responses, positive deviations in membrane potential were integrated over the time of stimulus presentation (3 s, ON responses) or 3 s immediately after stimulus presentation (OFF responses). To account for cell-specific differences, ON and OFF depolarizations of each cell were normalized to the cell's largest light response. Additionally, maximum depolarization was determined and time to peak of the early, transient depolarization was analyzed by determining the time from stimulus onset or offset to maximum depolarization, respectively.
Intracellular dye injections.
To reveal the morphology of GFP-expressing cells and check for gap junctional coupling, injections of fluorescent dye and neuronal tracers were performed. Retinal whole-mounts were prepared as described above and mounted on filter paper. GFP-expressing cell bodies were injected under visual control with sharp microelectrodes (70–120 MΩ) made of borosilicate glass (Hilgenberg). A mixture of 10 mm Alexa Fluor 594 (Invitrogen) and 3% Neurobiotin (Axxora), diluted in 100 mm KCl, was iontophoresed with pulsed current (0.25–1 nA) for 3–6 min. After injection, the tracer was allowed to diffuse for at least 30 min before tissue fixation (30 min, 4% paraformaldehyde). Then, whole-mounts were washed in PB, blocked with 5% chemiblocker, and incubated with streptavidin-Cy3 (1:400; Dianova) for 3 d. After three final washes in PB, tissue was mounted with Vectashield and stored at 4°C in the dark.
Image acquisition and analyses.
Sections and whole-mounts were examined with a Leica TCS SL confocal microscope with 40× (NA 1.25) or 63× (NA 1.32) oil-immersion objectives. Scanning was performed sequentially to rule out cross talk between channels (laser lines: 488 nm, 543 nm, 633 nm) at 1024 × 1024 pixel resolution. Brightness and contrast of the final images were adjusted in Adobe Photoshop 7.0 or ImageJ (http://rsbweb.nih.gov/ij/). Unless stated otherwise, maximum projections of collapsed confocal stacks are shown.
To evaluate bipolar cell inputs to type 2 cells, confocal stacks were analyzed using ImageJ and the plug-ins colocalization highlighter, color profiler, and point picker. First, we looked for staining with the synaptic ribbon marker that was in close vicinity to the type 2 cell dendrite. If the synaptic marker is truly associated with the type 2 cell dendrite, it should rotate with the dendrite. This was checked visually by rotating confocal stacks around the x-axis (data not shown). Synaptic markers truly associated with the type 2 cell terminal were counted using the point picker plug-in. To control whether these synaptic ribbons were also colocalized with the bipolar cell marker, we manually performed an object-based colocalization analysis (Bolte and Cordelières, 2006). Straight lines were placed through the center of putative synapses in single confocal scans. However, mispositioning of the vector may have led to underestimation of colocalization events (Bolte and Cordelières, 2006). The color profiler plug-in was used to calculate the pixel intensity along this straight line. If the pixel intensity in the channels for the bipolar cell marker and the synaptic marker was larger than a defined threshold (threshold 50 with values between 0 and 255), we normalized pixel intensity and defined colocalization between the bipolar cell marker and the synaptic marker as when the true overlap distance of the normalized fluorescence intensity curves at mid-height was larger than the resolution of the objective used for image acquisition (63× NA 1.32: ∼245 nm lateral resolution at 530 nm) (Bolte and Cordelières, 2006). In that case, we marked the synaptic structure, again using the point picker plug-in. If the threshold was not reached or the true overlap distance was smaller than the lateral resolution of the microscope objective, the ribbon synapse most likely originated from another cell and was marked differently. In this way, we obtained quantitative estimates for inputs from bipolar cells and glycinergic amacrine cells to type 2 cells.
To determine the density of type 2 cells, six retinal fields (500 × 500 μm) from three whole-mount retinas were analyzed using the 20× (NA 0.5) objective. Staining for TH was used to visualize DA cells. To obtain the number of type 2 cells, we counted GFP-positive but TH-negative cells in the inner nuclear layer (INL) and ganglion cell layer (GCL) (Zhang et al., 2004; Contini et al., 2010). Dendritic field size was determined by fitting an ellipse to a convex polygon that connects the dendritic tips of dye-filled cells.
Results
GFP-positive cells comprise two populations of WFA cells
A transgenic mouse line that expresses GFP under control of the TH promoter (Matsushita et al., 2002) was generated. Vertical retina sections from TH::GFP mice showed two distinct populations of GFP-positive cells (Fig. 1). One population had large oval somata (diameter, 10.8 ± 1.6 μm; n = 17), which were located in the proximal INL. These cells stratified in layer S1 of the IPL (Fig. 1A, arrow). We regularly observed interplexiform dendrites ascending from layer S1 toward the outer plexiform layer (data not shown). This suggests that this population of GFP-positive cells corresponds to DA type 1 cells (Versaux-Botteri et al., 1986; Gustincich et al., 1997). Staining TH::GFP retinas with an antibody against TH confirmed this: GFP-positive cells with large somata were TH-immunoreactive (Fig. 1B), as described previously for DA cells in the mouse (Ballesta et al., 1984; Gustincich et al., 1997; Contini et al., 2010).
Figure 1.

Type 2 cells express GFP, are GABAergic, and stratify between layers S2 and S3 of the IPL. A–F, Projections of image stacks of vertical retina sections from a TH::GFP mouse labeled with antibodies against TH (B), GABA (C, D), calretinin (E, F), and VGlut-1 (G, H). A, GFP expression in TH::GFP mice is confined to two different populations of amacrine cells. Arrow, DA cell, which stratifies in layer S1 of the IPL. Arrowheads, Two type 2 cells, one with its soma in the INL and one with its soma in the GCL. B, Different cryosection than in A. Type 2 cells (arrowhead) are not labeled with TH antibodies, whereas a DA cell is clearly labeled (arrow). C, D, GFP-expressing type 2 cells are immunoreactive for GABA (arrowheads). E, F, GFP-positive type 2 cell somata are immunoreactive for calretinin (arrowheads). Type 2 cells stratify between sublaminae 2 and 3 of the IPL and contribute to the middle calretinin-positive band. Layers are numbered in E. G, H, GFP-expressing type 2 cells stratify in an area (arrow) in which only few bipolar cell terminals, stained with an antibody against VGluT-1, are present. EGFP, Enhanced green fluorescent protein; IPL, inner plexiform layer; ONL, outer nuclear layer; OPL, outer plexiform layer. Scale bars, 20 μm.
A second population of GFP-positive neurons stratifying in the middle of the IPL had its somata in the INL and, occasionally, displaced in the GCL (Fig. 1A, arrowheads). Since these GFP-positive cells were considerably brighter than DA cells, GFP brightness served as a reliable criterion to target type 2 cells specifically. Type 2 cell somata had significantly smaller diameters than DA cells (diameter, 9.5 ± 1.1 μm; n = 119; p = 0.0087, t test). Somata in both the INL and the GCL were negative for TH (Fig. 1B). This is in line with previous reports (Zhang et al., 2004; Contini et al., 2010), which also showed that this cell population is not immunoreactive to the TH antibody. Since these cells have been described morphologically in a transgenic mouse line that expressed a similar construct (TH::RFP, Zhang et al., 2004), we adopted the name and refer to these cells as type 2 cells.
Type 2 cells in the INL and GCL are GABA-immunoreactive
Since DA cells are not only dopaminergic but also use GABA as a neurotransmitter (Wässle and Chun, 1988), we tested for neurotransmitter expression in GFP-positive type 2 cells. Cryosections from a TH::GFP retina were labeled for GABA. Consistent with previous work (Haverkamp and Wässle, 2000), the antibody against GABA stained somata in the INL and GCL and several strata in the IPL (Fig. 1C). GFP-positive type 2 cells in both the INL and the GCL were always positive for GABA immunoreactivity (Fig. 1D). We also tested for the expression of glycine but did not find any colocalization with GFP-positive cells (data not shown).
In rat, type 2 cells have been shown to be positive for phenylethanolamine N-methyltransferase, the epinephrine biosynthetic enzyme (Park et al., 1986). Yet, antibodies against phenylethanolamine N-methyltransferase failed to stain type 2 cells in the mouse retina (data not shown), as reported previously (Zhang et al., 2004). Staining with antibodies against the vesicular monoamine transporter 2 did not show any colocalization with GFP-positive type 2 cell processes, whereas DA cells showed strong colocalization (data not shown). These data suggest that type 2 cells use GABA as a principal neurotransmitter. Whether they also use a catecholamine remains unclear (see Discussion, below).
Cell morphology and stratification pattern
To elucidate the cell morphology of type 2 cells, we injected Neurobiotin into GFP-positive type 2 cells in the INL and GCL. Both subpopulations of cells showed similar, slightly asymmetric, extensive dendritic arbors (Table 2), which stratified exclusively between sublaminae 2 and 3 of the IPL. Consistent with Zhang et al. (2004), we never observed dye coupling among type 2 cells, although dye coupling experiments were performed under light conditions that regularly showed dye coupling for other amacrine cells (G. Knop, unpublished observation). Staining with antibodies against calretinin (Fig. 1E) revealed that type 2 cell stratification between layers 2 and 3 coincided with the second calretinin band (Fig. 1F). Calretinin labels several amacrine cell and ganglion cell somata in the INL and GCL (Haverkamp and Wässle, 2000). One of the populations labeled by calretinin comprises type 2 cells, since type 2 cell bodies in the INL and GCL were positive for calretinin (Fig. 1F, arrowheads). To facilitate comparisons with other amacrine cell types, we stained retinas with other amacrine cells markers and found that type 2 cells were also positive for calbindin and Pep19 (data not shown).
Table 2.
Properties of type 2 cells
| Dendritic field size small diameter/μm | 695 ± 148 (7 cells) |
| Dendritic field size large diameter/μm | 1048 ± 199 (7 cells) |
| Dendritic field area/mm2 | 0.57 ± 0.17 (7 cells) |
| Soma size diameter/μm | 9.5 ± 1.1 (119 cells) |
| Cell density/cells × mm−2 | 243 ± 58 (36 fields from 3 retinas), central to peripheral gradient |
| Neurotransmitter | GABA, catecholamine? |
| Marker | Calretinin, calbindin, PEP-19 |
| Resting membrane potential/mV | −50.7 ± 3.8 (38 cells) |
| Light response | ON–OFF response with an early transient component and late, more sustained components |
| Receptive field | Without functional subdivision |
All values are given as mean ± SD; numbers in parantheses give the n value.
Immunohistochemical analysis of inputs to type 2 cells
Mariani (1991) reported that type 2 cells receive inputs from bipolar cells and amacrine cells in the monkey retina. To test for bipolar cell inputs, we stained cryosections from TH::GFP retinas with antibodies against vesicular glutamate transporter (VGluT) 1. As described previously (Johnson et al., 2003), VGluT1 is strongly expressed in photoreceptor terminals in the outer plexiform layer and in bipolar cell terminals in the IPL (Fig. 1G). As visible in Figure 1H (arrow), GFP-positive type 2 cells stratify in the IPL in an area where only a few bipolar cell processes terminate (the watershed between ON and OFF sublamina), suggesting that type 2 cells may receive predominantly amacrine cell input. This has already been suggested by Mariani (1991), who used electron microscopy to study type 2 cells in the primate retina. However, since the VGluT1 staining also revealed costratification of bipolar cell and GFP-filled type 2 terminals, we further analyzed putative bipolar cell inputs to type 2 cells. For this purpose, we used markers for bipolar cell types that stratify in sublaminae 2 and 3. These are types 3 and 4 OFF bipolar cells and type 5 ON bipolar cells (Ghosh et al., 2004; Wässle et al., 2009). Since calsenilin, the marker for type 4 OFF bipolar cells, stains not only bipolar cell terminals but also amacrine cell terminals (Haverkamp et al., 2008), we only tested for type 3 OFF and type 5 ON bipolar cells. We used CaB5 as a marker for these cells, which also stains rod bipolar cells (Haverkamp et al., 2003). To visualize glutamatergic ribbon synapses between bipolar cells and type 2 cells, we used an antibody against C-terminal binding protein 2 (Schmitz et al., 2000). Staining retinal cryosections from TH::GFP mice with these markers (Fig. 2) showed that the axon terminals of type 3 OFF (sublamina 2) and type 5 ON bipolar cells (sublaminae 3/4) not only costratified with GFP-filled type 2 cell processes but also showed immunoreactive puncta positive for CtBP2 at contact sites. Figure 2, F–I, shows examples of ribbon synapses between type 2 cells and CaB5-immunoreactive terminals (arrows and arrowheads). These terminals most likely belong to type 3 OFF and 5 ON bipolar cells, since the CaB5-positive dendrites make contact either from more distal parts of the IPL (putative OFF bipolar cells) or from more proximal parts of the IPL (putative ON bipolar cells).
Figure 2.
Type 2 cells receive inputs from CaB5-immunoreactive bipolar cells. A–D, Single confocal scans (0.2 μm) of a retina section from a TH::GFP mouse (A) labeled with antibodies against the synaptic ribbon marker CtBP2 (B) and CaB5 (C), a bipolar cell marker. Type 2 cells occasionally contact CaB5-immunoreactive bipolar cell terminals. Individual ribbon synapses are visible at contact points. The superimposed square in D is shown under higher magnification in F–J. E, Projection of 15 confocal scans (thickness, 3 μm). F–I, The GFP-expressing type 2 dendrite contacts CaB5-positive bipolar cell terminals from both proximal (arrowheads) and distal (arrows) layers in the IPL. At contact points, CtBP2-positive glutamatergic ribbon synapses are present on the bipolar cell side (arrows and arrowheads). However, there are also CtBP2-positive puncta adjacent to the GFP-positive type 2 cell terminal that do not colocalize with CaB5. These structures are labeled with asterisks and presumably represent excitatory synapses between other bipolar cell types and type 2 cells. J, Colocalized points from all three channels are highlighted in magenta and projected onto the type 2 cell terminal. K, L, Pixel intensity plots for the area marked by dashed lines in I. K, Pixel intensity of the blue channel (CaB5) did not reach the predefined threshold (dashed line). Therefore, no colocalization was assumed. L, Pixel intensity of all channels was larger than threshold (data not shown) and was normalized and plotted against distance. Following Bolte and Cordelières (2006), we defined colocalization between the bipolar cell marker (blue) and the synaptic marker (red) as when the true overlap distance (arrow) of the normalized fluorescence intensity curves at mid-height (dashed line) was larger than ∼245 nm (lateral resolution of the 63× objective). In this example, overlap distance was 257 nm, indicating the presence of an excitatory synapse at contact points between CaB5-positive and type 2 cell terminals. Note that intensity values for EGFP are only shown to illustrate the spatial relationship between all three stainings. For details, see Materials and Methods. OPL, Outer plexiform layer; EGFP, enhanced green fluorescent protein. Scale bars: A–E, 10 μm; F–J, 5 μm.
To control for true colocalization, we performed three analyses: 1) we rotated the confocal stacks around the x-axis to find CtBP2-positive puncta adjacent to or colocalized with GFP-positive terminals, 2) we counted these puncta, and 3) we performed an object-based colocalization analysis. For this purpose, we calculated the pixel intensity along a straight line placed across the putative contact site (Fig. 2I, dashed lines). If the pixel intensity of the blue and red channel reached a defined threshold, we normalized pixel intensity and analyzed whether or not the CtBP2-positive punctum was associated with a CaB5-positive bipolar cell terminal (for details, see Materials and Methods, above). Of the 185 potential contact sites on four different cells that were analyzed in this way, 31 ± 7% sites were associated with CaB5-positive bipolar cell terminals. However, 69 ± 7% potential contact sites were not associated with CaB5-positive structures, suggesting that type 2 cells also receive substantial excitatory input from other cells, most likely other bipolar cells. In Figure 2, F–J, these structures are marked with asterisks. In Figure 2, K and L, two examples of pixel intensity plots are shown. In the first example (Fig. 2K), pixel intensity of the blue channel (CaB5 staining) did not reach threshold; therefore, it was concluded that the CtBP2-positive punctum and the CaB5-positive dendrite did not colocalize. In the second example (Fig. 2L), pixel intensity values passed threshold, were normalized, and passed the criterion for true colocalization, indicating that the CtBP2-positive punctum was indeed associated with a CaB5-positive bipolar cell terminal.
Both type 5 ON and type 3 OFF bipolar cells fall into two subtypes whose axon terminals show a territorial behavior (Wässle et al., 2009). Though we used markers (HCN4, provided by Dr. Frank Müller, Jülich, Germany; and PKARIIβ, BD Transduction Laboratories) to separate type 3a and 3b OFF bipolar cells, it was not possible to reliably determine the subtype since both markers failed to stain axon terminal tips. Together, these data suggest that type 2 cells receive glutamatergic inputs from both type 5 ON and type 3 OFF bipolar cells and presumably from other bipolar cells.
Light-evoked responses of type 2 cells
To further analyze the inputs to type 2 cells, we used whole-cell patch-clamp recordings from the dark-adapted whole-mount retina. With the help of two-photon excitation, we were able to target individual GFP-expressing cells in both the INL and GCL and to record light responses (for details, see Materials and Methods, above). Cells were measured in the current-clamp mode and responded to a 3 s scotopic light stimulus with a strong depolarization at the beginning and the end of the light stimulus (0.8 Rh*/rod/s) (Fig. 3A). Most ON–OFF amacrine cells show spikes in response to light stimuli (Freed et al., 1996; Stafford and Dacey, 1997; Bloomfield and Völgyi, 2007). However, for type 2 cells, we never observed spikes riding on top of the depolarization. Both ON and OFF responses started with a prominent transient potential, which lasted ∼300 ms and was 15–25 mV in amplitude. This was followed by secondary, more sustained response components, which showed considerable variation between individual cells (Fig. 3). During the ON response, the membrane potential returned to baseline or even lower well before stimulus end. Patch-clamp recordings from type 2 cells in the INL and GCL showed similar light responses, with a transient peak followed by a more sustained response (Fig. 3A). We only recorded from type 2 cells in the GCL in subsequent experiments since these cells were easier to access.
Figure 3.
ON–OFF response characteristics and light sensitivity of type 2 cells. A, Representative light responses from a type 2 cell from the INL (top) and from the GCL (bottom). Cells were measured in the current-clamp mode and showed similar resting membrane potentials (Em). Both cells responded almost identically to a 3 s light stimulus (0.8 Rh*/rod/s), with strong depolarizations at the beginning and the end of the stimulus. B, Representative light responses to three different light intensities (low scotopic, high scotopic, and mesopic) from a type 2 cell (GCL). Sustained response components increased with higher light intensities. C, Normalized ON responses to a full-field stimulus of 180 Rh*/rod/s of five cells. Average membrane potential waveform in black, SD in gray. Variability of light responses strongly increases after the first transient depolarization. All values are given as mean ± SD, n = 5. D, Intensity-response relationships measured as the normalized (norm.) depolarization integral for the 3 s after light ON (left) and OFF (right). ON depolarizations showed no significant change with stimulus intensity (ON: p = 0.02; OFF: p = 5 × 10−8; n = 5; one-way ANOVA). E, Maximum (max.) depolarization of the transient component of ON (left) and OFF responses (right) as a function of stimulus intensity. ON depolarizations showed no significant change with stimulus intensity (ON: p = 0.06; OFF: p = 1 × 10−5; n = 5; one-way ANOVA). F, Time to peak for the transient component of ON (left) and OFF (right) responses as a function of stimulus intensity. Time to peak depolarization steadily decreased from low scotopic to mesopic intensities (ON: p = 4 × 10−10; OFF: p = 4 × 10−10; n = 5; one-way ANOVA). Em gives the resting membrane potential.
To analyze the range of light intensities in which type 2 cells can operate, we measured light responses to full-field stimuli of varying intensity. Figure 3B shows representative responses to three different light intensities (low scotopic, 0.06 Rh*/rod/s; high scotopic, 17.8 Rh*/rod/s; mesopic, 3 × 104 Rh*/rod/s). Note that even at very low light intensities, the light response consisted of an early transient component. When light intensity increased, more complex response components occurred. To account for all response components, we first analyzed the total depolarization integral during light stimulus presentation (ON) (Fig. 3D, left) and after light stimulation (OFF) (Fig. 3D, right). However, late response components showed so much variability between individual cells (Fig. 3C) that this parameter did not represent stimulus characteristics reliably. We therefore concentrated our quantitative analysis on amplitude and timing of the early transient potentials. Maximum depolarization (Fig. 3E) and time to peak depolarization (Fig. 3F) of the early transient response showed much less variability. However, maximum depolarization for ON and OFF responses only slightly increased upon increasing light intensity (Fig. 3E); ON and OFF responses reached saturation well within the high scotopic range, indicating that maximum depolarization has a rather narrow dynamic range under full-field stimulation. In contrast, time to peak depolarization consistently decreased over the entire range of increasing light intensities (Fig. 3F). These data suggest that time to peak, rather than maximum depolarization, is the relevant parameter for encoding light intensities up to the mesopic range. Interestingly, OFF responses were slower than ON responses in all light conditions, potentially reflecting temporal differences in the underlying inputs. However, temporal differences between ON and OFF responses most likely arise from a technical limitation in our light stimulation, since stimuli were delivered by a CRT monitor. Due to the afterglow of the CRT monitor's aperture mask, the presentation of negative contrast (i.e., the OFF stimulus) most likely had a shallower time course than the ON stimulus. Also, the OFF response was often preceded by a long-standing hyperpolarization. Thus, it is possible that this could delay the time it takes the cell to reach its peak depolarization compared with the response at light onset, which arises from the resting membrane potential. Therefore, we restricted the investigation of ON and OFF differences to our pharmacological experiments (see Glutamate- dependent inputs to type 2 cells, below).
Receptive field properties of type 2 cells
To analyze the receptive field properties of type 2 cells, we first used concentric spots of increasing size at a light intensity of 17.8 Rh*/rod/s (high scotopic). Figure 4A shows representative responses of a type 2 cell to three different spot sizes. With an increase in stimulation area, response components became more complex. Again, depolarization integral and maximum depolarization poorly reflected stimulus variation (data not shown). In contrast, time to peak depolarization consistently decreased with increasing stimulus area (Fig. 4B). ON and OFF responses were neither attenuated (data not shown) nor delayed during large spots (>0.2 mm2). This suggests that surround-mediated inhibition does not contribute substantially to type 2 cells' receptive fields. However, the area-integration paradigm uses the central part of the dendritic field for every stimulus. This could potentially mask a nonuniform distribution of ON and OFF inputs along type 2 cell dendrites, especially if inputs near the recording pipette dominated the light response. To account for this, we used the same light intensity as before but stimulated type 2 cells with three different stimuli, which had the same total area (0.2 mm2) but covered non-overlapping areas of the cell's dendritic field (Fig. 4C,D). If, for example, ON inputs were restricted to proximal regions, then a spot centered on the soma should elicit a larger ON response than two annuli covering areas in the distal dendritic field of the type 2 cell. Figure 4C shows representative responses to the three different stimuli. Both ON and OFF responses looked very similar for all stimulus conditions, and indeed, none of the evaluated response parameters showed significant differences. In particular, time-to-peak depolarization, which varied consistently with light intensity and stimulation area, was the same for all stimulus positions (p = 0.1 ON responses, p = 0.44 OFF responses, one-way ANOVA; n = 8). Together, these results suggest that ON and OFF inputs are distributed homogeneously along type 2 cell dendrites.
Figure 4.
Receptive field properties of type 2 cells. A, Representative responses from a type 2 cell (GCL) to concentric light spots of increasing area (17.8 Rh*/rod/s), which were centered over the cell body. B, Time to peak depolarization of ON (left) and OFF responses (right) as a function of stimulation area. With increasing stimulus area, time to peak steadily decreased (ON: p = 5 × 10−9; OFF: p = 2 × 10−10; n = 7; one-way ANOVA). Values are given as mean ± SD. C, Stimulation with three different stimuli that had the same total area (0.2 mm2) but covered non-overlapping areas of the type 2 cell's dendritic field. Stimulus position within the dendritic field had almost no influence on the time course and amplitude of ON and OFF responses. D, Time to peak depolarization for ON (left) and OFF transient responses (right), measured relative to stimulus onset, did not differ between stimulus types (ON: p = 0.1; OFF: p = 0.44; n = 8; one-way ANOVA). Values are given as mean ± SD. Em, Resting membrane potential.
Glutamate-dependent inputs to type 2 cells
To further analyze excitatory inputs to type 2 cells, we combined light response recordings with pharmacology (Fig. 5). Since type 2 cells showed a high light sensitivity (Fig. 3), we presumed that rod pathways may provide input to type 2 cells (Völgyi et al., 2004). In the primary rod pathway, the rod signal is transmitted to rod bipolar cells, which synapse with AII amacrine cells. These small-field amacrine cells relay ON responses via electrical synapses with ON cone bipolar cells and OFF responses via glycinergic synapses with OFF cone bipolar cells or by direct glycinergic input to OFF ganglion cells. In the secondary rod pathway, the rod signal is transmitted via gap junctions to cones and is shunted from there into ON and OFF cone pathways (Völgyi et al., 2004). Thus, if the primary rod pathway indeed provides input to type 2 cells under low scotopic conditions (full-field stimulus, 0.8 Rh*/rod/s on top of a constant background of 0.6 Rh*/rod/s), blockade of glutamatergic signal transmission between rods and rod bipolar cells should eliminate both ON and OFF responses. We tested this hypothesis by measuring light responses of type 2 cells under control conditions and in the presence of l-AP4 (100 μm), an mGluR6 agonist which blocks metabotropic glutamate receptors on ON bipolar cells. Application of l-AP4 completely abolished the ON response and strongly impaired the OFF response in type 2 cells, represented by the maximum depolarization amplitude (ON, p = 0.0001; OFF, p = 0.001; n = 6; paired t test) (Fig. 5A,B). Wash-out restored both light response components (Fig. 5A,B). These data show that under low scotopic conditions, a large portion of the light responses of type 2 cells is dependent on mGluR6 and thus is presumably mediated by the primary rod pathway. However, the less sensitive secondary rod pathway may also be active and contribute to ON and OFF light responses. Signals traveling from rods to cones and from there to OFF bipolar cells may account for the small l-AP4-resistant OFF response under low scotopic conditions (Fig. 5A,B).
Figure 5.
Blocking glutamatergic inputs to type 2 cells. A, B, Light responses from type 2 cells (GCL) under low scotopic conditions (0.8 Rh*/rod/s; adapting background, 0.6 Rh*/rod/s). l-AP4 (100 μm) completely blocked the ON component (p = 5 × 10−5; paired t test) and strongly impaired the OFF component (p = 1 × 10−4; paired t test) of the response. Values in B are given as mean ± SD, n = 6. C, Light responses from type 2 cells (GCL) under high scotopic conditions (6 Rh*/rod/s, adapting background 0.6 Rh*/rod/s). To block all excitatory inputs, first l-AP4 (100 μm) and subsequently CNQX (100 μm) were applied. D, Evaluation of the blocker effects on ON and OFF responses. Whereas the early transient ON component is completely blocked by l-AP4 (p = 7 × 10−7; n = 7; paired t test), the early transient OFF component is unimpaired (p = 0.15; n = 7; paired t test). However, after additional CNQX application, all ON and OFF components are blocked. Values in D are given as mean ± SD, n = 7. Em, Resting membrane potential.
To test which pathways provide input to type 2 cells under high scotopic conditions, we repeated the experiment with slightly increased stimulus intensity (full-field stimulus, 6 Rh*/rod/s on top of a constant background of 0.6 Rh*/rod/s). Under these conditions, l-AP4 showed a differential effect on type 2 cells' light responses (Fig. 5C). First, l-AP4 completely blocked the early transient component of the ON response. This was again analyzed by evaluating the maximum depolarization of the first 300 ms of the ON response, which contain this first transient component (p = 0.0001; n = 7; paired t test) (Fig. 5D). Also, blockade with l-AP4 revealed a small transient hyperpolarization, possibly reflecting inputs from OFF bipolar cells. Second, a considerable fraction of the late ON response components was resistant to l-AP4 application (Fig. 5C). Third, l-AP4 did not significantly alter the OFF response (p=0.15; n = 7; paired t test) (Fig. 5D). These data show that under high scotopic conditions, type 2 cells receive inputs independent of the primary rod pathway. Other rod pathways or even cone pathways must come into play.
To test this, we repeated the experiment with the same light conditions but applied l-AP4 to block mGluR6-dependent response components and then applied the AMPA/kainate glutamate receptor antagonist CNQX (100 μm) to block response components that are mediated by ionotropic glutamate receptors (Fig. 5C,D). As expected, subsequent application of glutamate receptor blockers completely abolished light responses of type 2 cells, indicating that under high scotopic conditions, OFF bipolar cells receive direct input from photoreceptors and in turn provide input to type 2 cells. Interestingly, CNQX blocked the l-AP4-resistant secondary ON component (Fig. 5D). Since the only remaining pathway that is known to be CNQX-sensitive is the OFF pathway, inhibition of OFF bipolar cells at light onset creates a crossover excitation which is presumably mediated by some amacrine cell circuit. Similar effects of l-AP4 and CNQX have been reported for ON-sustained DA cells (Zhang et al., 2007). Effects of both blockers were in part reversible. Very similar results were obtained when stimulus intensity was increased further (full-field stimulus, 3 × 104 Rh*/rod/s on top of a constant background of 600 Rh*/rod/s, mesopic) (data not shown).
We conclude that type 2 cells receive excitatory inputs from ON and OFF cone bipolar cells, which in turn obtain their signals either via the primary rod pathway (low scotopic), the secondary rod pathway (low/high scotopic), or directly from photoreceptors (high scotopic/mesopic). During the early ON response, type 2 cells most likely also receive inhibitory inputs from amacrine cells.
Glycine- and GABA-dependent inputs to type 2 cells
To further analyze putative inputs from amacrine cells, we measured light responses of type 2 cells under control conditions and in the presence of the glycine receptor blocker strychnine (1–2 μm; full-field stimulus, 6 Rh*/rod/s). Figure 6A shows a representative example. Similar results were obtained for three cells; after 3 min of strychnine wash-in, type 2 cells were depolarized by 3–5 mV and showed membrane potential oscillations with an amplitude of >15 mV and a frequency of 3 Hz (Fig. 6A). Oscillations were almost independent of the light stimulus, which only evoked slight changes in oscillation frequency during the light stimulus and a reduction of oscillations immediately after stimulus end. These results suggest that type 2 cells are influenced by a glycinergic circuitry.
Figure 6.

Blocking glycinergic or GABAergic inputs to type 2 cells. A, Light responses from type 2 cells (GCL) under control conditions and after blocking glycine receptors with 1 μm strychnine (stry). After 3 min, the type 2 cell resonated in the presence of strychnine (∼3 Hz). Similar oscillations occurred in all cells tested (n = 3). The light stimulus (6 Rh*/rod/s) led to only slight changes in oscillation frequency during the light stimulus and a reduction of oscillations immediately after stimulus end. B, Light responses from type 2 cells (GCL) under control conditions and after blocking GABAA receptors with 100 μm bicuculline (bicu). Bicuculline led to membrane potential oscillations during and after the light stimulus. During light stimulus presentation, the early transient depolarization was followed by a series of high-frequency oscillations (7–11 Hz). After stimulus offset, oscillation frequency was lower and oscillations ceased after a few periods. Similar effects were observed in all measured cells (n = 6). Em, Resting membrane potential.
To test whether type 2 cells also receive inhibition from GABAergic amacrine cells, we applied bicuculline (100 μm) (Fig. 6B), a blocker of GABAA receptors (Ueno et al., 1997; Völgyi et al., 2004). Similar to strychnine, bicuculline led to membrane potential oscillations in six of six cells. However, oscillations only occurred during light stimulation. During the ON response, fast oscillations rode on top of the underlying membrane depolarization (7–11 Hz) (Fig. 6B). At the end of the light stimulus (OFF response), oscillations were slower and ceased after a few periods. Together, type 2 cells are strongly influenced by glycinergic and GABAergic amacrine cells, which may provide direct or indirect input to type 2 cells.
Costratification with VGluT3-positive amacrine cells
Application of strychnine showed that type 2 cells are influenced by glycinergic amacrine cells. Therefore, we tested for direct glycinergic inputs to type 2 cells using immunohistochemistry. As VGluT3-positive amacrine cells are glycinergic and stratify in the same layer as type 2 cells (Haverkamp and Wässle, 2004), we stained TH::GFP retinas for VGluT3 and the glycine receptor subunit α2 (GlyRα2), which was shown to be postsynaptic to VGluT3-positive amacrine cell terminals (Haverkamp et al., 2004). Figure 7 shows that type 2 cell processes (Fig. 7A,F) are in close vicinity to VGluT3-positive amacrine cell processes (Fig. 7B,G). Moreover, at contact sites, we found immunoreactive puncta for GlyRα2 (Fig. 7C,D,H–I, arrowheads), indicating that type 2 cells receive glycinergic input from VGluT3-positive amacrine cells, which are also most likely ON–OFF amacrine cells (Haverkamp et al., 2004). We controlled for colocalization using the same methods as stated above. First, we identified regions in which GlyRα2 colocalized with GFP-positive type 2 cell dendrites (Fig. 7J). Second, rotation of confocal stacks around the x-axis served to control for colocalization (data not shown). Third, putative contact sites were analyzed for true colocalization and contact to VGluT3-positive amacrine cell terminals using line scans (Fig. 7K,L). Of the 123 putative contact sites on three different type 2 cells that were analyzed in this way, 52 ± 12% were associated with VGluT3-positive amacrine cell terminals. However, 48 ± 12% of the GlyRα2-positive puncta were not associated with VGluT3-positive structures, suggesting that type 2 amacrine cells also receive glycinergic inputs via GlyRα2 from other glycinergic amacrine cells. In Figure 7, K and L, two examples of pixel intensity plots are shown; in both cases, the GlyRα2-positive punctum was indeed associated with a VGluT3-positive amacrine cell terminal.
Figure 7.
Type 2 cells receive inputs from VGluT3-immunoreactive amacrine cells and express glycine receptors. A–D, Single scans (0.2 μm) of a retina section from a TH::GFP mouse labeled with antibodies against VGluT3, a marker for a certain type of glycinergic amacrine cell (B), and the glycine receptor 2α subunit (C). D, Merged image. E, Projection of 15 scans (3 μm). F–J, Single confocal scans show the area marked in D under higher magnification. GFP-positive dendrites from type 2 cells (E) are contacted by VGluT3-positive dendrites (G). GlyR2α-positive puncta (H) are visible at contact points between type 2 and VGluT3-positive amacrine cells (I). J, Colocalized points from all three channels are highlighted in magenta and projected onto the type 2 cell terminal (arrowheads). K, L, Pixel intensity plot for the area marked by dashed lines in I. Pixel intensity was larger than threshold (for details, see Materials and Methods) and was normalized and plotted against distance. Following Bolte and Cordelières (2006), we defined colocalization between the type 2 cell dendrite (green) and the glycine receptor (red) as when the true overlap distance (arrow) of the normalized fluorescence intensity curves at mid-height (dashed line) was larger than ∼245 nm (lateral resolution of the 63× objective). For details, see Materials and Methods. Overlap distances of 418 and 254 nm, respectively, confirmed the presence of glycine receptors at contact points between a glycinergic amacrine cell and GFP-positive type 2 cell terminals. Please note that intensity values for VGluT3 are only shown to illustrate the spatial relationship between all three stainings. Scale bars: A–J, 10 μm.
Discussion
Here we provide the first characterization of type 2 cells' light responses and receptive field properties. We have also analyzed their underlying inputs under different light conditions. Type 2 cells receive excitatory inputs from type 3 OFF and type 5 ON bipolar cells and presumably receive inhibitory inputs from both GABAergic and glycinergic amacrine cells.
Comparison with other species
Using a TH::GFP mouse line, we found two different populations of amacrine cells that expressed the GFP reporter under the TH promoter. One population comprised DA cells, which showed all characteristics (TH-immunoreactivity, stratification in sublamina 1, large somata, interplexiform dendrites, sparse distribution) that have been described before (Versaux-Botteri et al., 1986; Gustincich et al., 1997; Zhang et al., 2008). The second population of GFP-expressing cells comprised WFA cells, whose properties are summarized in Table 2. These cells were immunonegative for TH but had similar properties (stratification depth, soma, and dendritic tree size) as type 2 cells, which have been described in several species (Park et al., 1986; Mariani, 1991; Oh et al., 1999; Zhang et al., 2004, Contini et al., 2010). In the mouse, however, type 2 cells have never been found to be catecholaminergic (Zhang et al., 2004; Contini et al., 2010; present study), though the analysis may suffer from low catecholamine levels or type 2 cell-specific enzyme isoforms that may not be detected with the antibodies available (Versaux-Botteri et al., 1986).
Subpopulations in INL and GCL have the same properties
In the murine retina, several types of amacrine cells have most of their somata located in the INL but displace a small fraction of all somata into the GCL (Lin and Masland, 2006; Majumdar et al., 2008), e.g., A17 cells (Pérez De Sevilla Müller et al., 2007). This is also true for type 2 cells. Several independent lines of evidence suggest that type 2 cells in the INL and those in the GCL belong to the same population of amacrine cells. Both subpopulations stratify in the same layer of the IPL; have the same dendritic field size; contribute to the second calretinin band and are immunopositive for calretinin, Pep19, and calbindin; use GABA as a neurotransmitter; and show similar ON and OFF light responses, which most likely result from the same inputs. Thus, it seems reasonable to assume that the physiological characteristics of the type 2 cells from the GCL also apply to the type 2 cells in the INL.
Receptive field properties of type 2 cells
Consistent with their stratification in sublaminae 2 and 3 of the IPL, type 2 cells showed ON–OFF light responses. Using concentric spots of light, we first measured the area summation of type 2 cells and evaluated the depolarization maximum and time to peak as response parameters. We found no indication for an unequal distribution of excitatory or inhibitory inputs in this stimulus paradigm. For a more detailed analysis, we used a spot and two annuli that had the same area but covered non-overlapping regions within the receptive field. Stimulus position did not alter depolarization maximum (data not shown) or time to peak depolarization (Fig. 4D). These data suggest that type 2 cells possess receptive fields without surround antagonism and that excitatory inputs are distributed homogeneously along type 2 cell dendrites, as was shown for other ON–OFF WFA cells before (Freed et al., 1996; Bloomfield and Völgyi, 2007). Moreover, these results indicate that type 2 cells, even though their dendrites are large, must be electronically compact if an annulus located on their more peripheral dendritic field can produce a response that is almost identical to a spot that covers the central part of the dendritic field.
Type 2 cells receive glutamatergic inputs from ON and OFF cone bipolar cells
We analyzed the excitatory inputs to type 2 cells using physiology and anatomy. At low light levels, type 2 cells most likely receive inputs from the primary and secondary rod pathways. Because both ON pathways completely depend on mGluR6 signaling, l-AP4 completely abolished the ON response under low scotopic conditions (Fig. 5A). ON responses are presumably mediated by type 5 ON bipolar cells (Ghosh et al., 2004) since these cells contact type 2 cells in layer S3 of the IPL (Fig. 2I). Moreover, we found synaptic ribbons at contact sites, indicating that type 5 ON cells provide excitatory input to type 2 cells. l-AP4 also strongly impaired the OFF response of type 2 cells, indicating that part of the OFF response is mediated by the primary rod pathway. However, a small part of the OFF response was l-AP4-resistant, suggesting that OFF signals also reached type 2 cells via rod-cone coupling and OFF cone bipolar cells (secondary rod pathway). OFF responses could arise from type 3 OFF bipolar cells, which make synaptic contacts with type 2 cells in layer S2 of the IPL (Fig. 2I). However, only one-third of all CtBP2-positive puncta associated with type 2 dendrites belong to CaB5-positive bipolar cells; it is likely that other bipolar cell types, e.g., type 4 OFF bipolar cells, provide inputs as well. Both type 3 OFF cell subtypes and type 4 OFF bipolar cells have been shown to contact rods (Ghosh et al., 2004; Mataruga et al., 2007; Haverkamp et al., 2008), thereby providing an alternative rod pathway which may account for the small l-AP4-resistant OFF response of type 2 cells under low scotopic conditions (Fig. 5A,B).
This pathway may also be involved at slightly elevated light conditions (high scotopic), since l-AP4 application did not significantly impair the OFF response. However, under high scotopic conditions, the secondary rod pathway may also contribute to both ON and OFF responses since it has a low sensitivity. Direct cone pathways may also come into play.
Type 2 cells are influenced by glycinergic and GABAergic amacrine cells
Application of l-AP4 under high scotopic conditions did not completely abolish the ON response of type 2 cells (Fig. 5C). It showed a differential effect: the first transient component was completely abolished and a small hyperpolarization became visible, which may reflect direct input from OFF bipolar cells. The secondary ON response component, however, was at least in part l-AP4-resistant and most likely reflects an input from OFF bipolar cells through inhibitory amacrine cells, i.e., crossover inhibition (Hsueh et al., 2008; Molnar et al., 2009). Consistently, subsequent CNQX application completely blocked this component. Hsueh et al. (2008) recently reported that some ON–OFF amacrine cells receive OFF inhibition from other amacrine cells in the rabbit retina.
Since crossover inhibition is often mediated by glycinergic amacrine cells (Hsueh et al., 2008), we applied strychnine to block glycinergic transmission. Interestingly, type 2 cells began to resonate, a behavior that can be explained in several ways. Strychnine may act on glycinergic amacrine cells that provide input to presynaptic partners of type 2 amacrine cells, for example, bipolar cells. In this case, strychnine effects would be entirely presynaptic; membrane potential oscillations of type 2 cells may originate from resonating bipolar cell inputs (Schwartz and Berry, 2008). However, strychnine will primarily affect OFF bipolar cells since, in the mouse retina, ON cone bipolar cells do not appear to receive substantial glycinergic inputs (Ivanova et al., 2006). Since the ON and OFF responses of type 2 cells are similarly affected by strychnine application, another explanation seems more likely. Type 2 cells may receive glycinergic inputs that prevent membrane potential oscillations under normal conditions. Glycine has been shown to attenuate oscillatory potentials in bass WFA cells, which show fast (70–140 Hz) oscillatory potentials due to intrinsic membrane properties (Solessio et al., 2002). Glycinergic input to type 2 cells may be provided by VGluT3-positive amacrine cells, since these ON–OFF amacrine cells cofasciculate with type 2 cells and type 2 cells show GlyRα2 subunits at contact sites. However, other glycinergic amacrine cells may contribute as well, since not all GlyRα2-positive structures were associated with VGluT3-positive amacrine cell terminals.
As amacrine-to-amacrine cell inhibition can also be mediated by GABAA receptors, we applied the GABAA receptor blocker bicuculline to block GABAergic inhibition to type 2 cells. Bicuculline led to fast membrane potential oscillations during the ON response and slower but stronger oscillations during the OFF response, suggesting that type 2 cells are also influenced by GABAergic amacrine cells. Consistent with this, GABA has been shown to inhibit oscillatory potentials in WFA cells (Solessio et al., 2002). However, the effects of bicuculline on type 2 cells are difficult to interpret since they may be indirect. Bicuculline may act on a GABAergic amacrine cell that provides input to bipolar cells or it may inhibit a glycinergic amacrine cell providing input to type 2 cells. The decrease in the early ON response upon bicuculline application hints at this kind of disinhibition under control conditions. Hsueh et al. (2008) showed that one class of ON–OFF amacrine cells receives a mixture of glycine and GABAA receptor-mediated inputs. Type 2 cells most likely belong to this class of amacrine cells, in which both glycine receptors and GABAA receptors mediate serial connections and receive input from other amacrine cells.
In summary, we present here the first physiological characterization of type 2 cells. These GABAergic ON–OFF amacrine cells exhibit light responses that are remarkably uniform from scotopic to mesopic light conditions, suggesting that type 2 cell function is preserved under different adaptational states of the retina. Further analyses will have to elucidate the targets of type 2 cells' GABAergic (and potentially catecholaminergic) signal transmission.
Footnotes
This work was supported by the Deutsche Forschungsgemeinschaft (WE 849/16-1/2 to K.D. and R.W.). We thank Susanne Wallenstein and Bettina Kewitz for excellent technical assistance and Jennifer Trümpler for reading and improving the manuscript. We also thank Thomas Euler for the light stimulation software QDS, Francoise Haeseleer and Silke Haverkamp for the generous gifts of the anti-CaB5 and anti-VGluT3 antibodies, respectively.
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