- Research article
- Open Access
Cellular properties of intrinsically photosensitive retinal ganglion cells during postnatal development
Neural Developmentvolume 14, Article number: 8 (2019)
Melanopsin-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs) respond directly to light and have been shown to mediate a broad variety of visual behaviors in adult animals. ipRGCs are also the first light sensitive cells in the developing retina, and have been implicated in a number of retinal developmental processes such as pruning of retinal vasculature and refinement of retinofugal projections. However, little is currently known about the properties of the six ipRGC subtypes during development, and how these cells act to influence retinal development. We therefore sought to characterize the structure, physiology, and birthdate of the most abundant ipRGC subtypes, M1, M2, and M4, at discrete postnatal developmental timepoints.
We utilized whole cell patch clamp to measure the electrophysiological and morphological properties of ipRGC subtypes through postnatal development. We also used EdU labeling to determine the embryonic timepoints at which ipRGC subtypes terminally differentiate.
Our data show that ipRGC subtypes are distinguishable from each other early in postnatal development. Additionally, we find that while ipRGC subtypes terminally differentiate at similar embryonic stages, the subtypes reach adult-like morphology and physiology at different developmental timepoints.
This work provides a broad assessment of ipRGC morphological and physiological properties during the postnatal stages at which they are most influential in modulating retinal development, and lays the groundwork for further understanding of the specific role of each ipRGC subtype in influencing retinal and visual system development.
Melanopsin-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs) represent a class of non-canonical, ganglion cell photoreceptors. These cells influence a variety of visual behaviors including contrast sensitivity , circadian photoentrainment [2,3,4], sleep [5, 6], and even mood [7, 8]. These wide-ranging behavioral influences are attributed to the multiple subtypes (M1–6) that comprise the ipRGC population, with different subtypes possessing a unique complement of cellular properties and playing distinct roles in vision. For example, the M1 ipRGC subtype has been linked to subconscious, non-image forming behaviors including circadian photoentrainment, the pupillary light reflex, and even regulation of mood and learning. The M4 ipRGCs, in comparison, are important for proper contrast sensitivity in visual perception [1, 9].
Although ipRGCs have been categorized based on their adult characteristics, they are in fact light sensitive from embryonic stages [10,11,12] and begin to exhibit diverse light response properties at early postnatal stages [13, 14]. Thus, these unique photoreceptors are light sensitive long before the rest of the retinal circuitry is able to functionally relay rod/cone signals around ~P12 when the eyes open [15, 16]. This early photosensitivity has led to multiple studies examining potential developmental influences of ipRGCs on the developing retina and visual system. One study found that melanopsin modulates the branching patterns of retinal vasculature in a light-dependent manner . Other studies revealed that melanopsin and ipRGCs can influence spontaneous retinal waves  and that they are important retinofugal refinement [17, 18]. Surprisingly, light and melanopsin can even drive a light avoidance behavior in neonatal mice as young as 6 days old .
While it is clear that light is modulating retinal development and even pup behavior through melanopsin, the circuit mechanisms of these effects remain unclear. In particular, it is not known which of the six ipRGC subtypes mediate these developmental effects. A first step in determining the role of the ipRGC subtypes in development is characterizing the developmental time course of the maturation of each cell type. A previous study has revealed that there are at least three physiological ipRGC subtypes during development, type I, II, and III . These subtypes were differentiated based on the size and sensitivity of their light responses with follow up studies proposing that that the type I corresponds to the adult M4 subtype, type II to the M2 subtype, and type III to the M1 subtype [14, 20]. Beyond this, little is known about the structure and function of ipRGC subtypes during development, and yet this information is a necessary first step in understanding the mechanisms by which ipRGCs influence the developing retina. We therefore set out to characterize the morphology, physiology, and developmental “birth” date of the three major ipRGC subtypes, M1, M2, and M4. We found that ipRGC subtypes are differentiable at early postnatal stages and seem to exhibit different rates of maturation. Moreover, we find that while ipRGCs are generally born at similar embryonic time points, their birth is largely complete at timepoints earlier than two groups of conventional RGCs: the OFF alpha RGCs and Brn3a positive RGCs.
All procedures were approved by the Animal Care and Use Committee at Northwestern University. Both male and female mice were used and are from a mixed B6/129 background. Adult mice were between 30 and 60 days of age.
We used Opn4-GFP  mice for all electrophysiological recordings. All mice P14 and under were dark adapted 1–2 h prior to recording. Adult mice were dark adapted overnight. Pups aged P10 and under were sacrificed via decapitation. P14 pups and adult mice were euthanized using CO2 asphyxiation followed by cervical dislocation under dim red illumination. Eyes were enucleated, and retina were dissected under dim red light in carbogenated (95% O2–5%CO2) Ames' medium (Sigma, A1420). Retinas were then sliced in half and incubated at 25 °C in Ames' solution for at least 30 min. Retinas were mounted ganglion side up on glass bottom recording chamber and anchored using a platinum ring with nylon mesh. Recordings were performed at 24–26 °C with 1-2 mL/min flow of Ames' solution. ipRGCs (GFP positive) were visualized using whole field 480 nm light for less than 30 s at 3.5 × 1017 photons/cm2 s− 1 intensity, and so all properties of ipRGCs were measured in light adapted tissue. Note that all subtypes at all ages were exposed to similar amounts of light, so any effect of light adaptation should be similar across development and between subtypes. Adult M4 cells were targeted using their characteristic large somata and confirmed post-recording with immunohistochemistry and dendritic stratification.
Recording pipettes were between 4 and 8 MΩ and filled with following internal solution (in mM): 125 K-gluconate, 2 CaCl2, 2 MgCl2, 10 EGTA, 10 HEPES, 2 Na2-ATP, 0.5 Na-GTP, 10 μM Alexa Fluor hydrazide 488 (Thermo, A10436), and 0.3% neurobiotin (Vector, SP-1120-50), pH to 7.2 with KOH.
After recording, retina pieces were fixed with 4% PFA overnight at 4 °C. Pieces were then washed with PBS, blocked for 1 h in 0.3% Triton-X, 6% donkey serum at room temperature. After blocking, pieces were then placed in the following primary for 2 nights at 4 °C. On the third day, retina pieces were washed with PBS and placed into the following secondary solution for 2 h at room temperature in the dark. Retinas were then washed and mounted in fluoromount (Sigma, F4680). See Table 1 for specific antibodies and concentrations. All images were captured using a confocal laser scanning microscope (LSM, DFC 310 FX, Leica) with a 40x oil-immersion objective.
Inner plexiform lamination analysis
Dendritic arbors from ipRGCs were traced using Fiji plugin software, simple neurite tracer with subsequent analysis done by using a similar program and methods as described in Nath & Schwartz, 2016 [22, 23].
FIJI (ImageJ) software was used to analyze cell morphology. For soma diameter measurements, we took a DIC image of the soma before patching. Using the polygon tool, we traced the entire soma and calculated the diameter using the circle eq. A similar method was used to calculate dendritic diameter from cell fill images. We used FIJI plugin, neuronJ, to trace cell fills to get a measurement of total dendritic length. These traced cell fills were subsequently used for Sholl analysis which was performed using the FIJI software.
Cells were given a 10 mV hyperpolarization step in voltage clamp mode. Capacitance and input resistance were calculated from recorded trace using Ohm’s law.
Cells were recorded at rest in current clamp mode for 3 min with the last minute of the recording being averaged to yield the resting membrane potential. Spike frequency was also assessed in the last minute of the recording.
Depolarizing current injections
Current was injected to hold cells at − 79 mV and cells were then injected with 1 s of +10pA or + 20pA stepwise current until cells reached a current that caused depolarization block.
For action potential analysis, the first action potential elicited at the lowest depolarizing current was used for full width half maximum (from threshold), threshold , and hyperpolarization analysis. Hyperpolarization was measured as the difference between the threshold and the lowest point following action potential peak.
Light onset was defined when cell membrane potential reach 50% of maximum light response during the lights on period.
Using Prism graphpad, we analyzed data with non-parametric one-way (Kruskal-Wallis) with Dunn’s multiple comparisons test for any ANOVA that indicated statistical difference. Statistical significance was concluded when p < 0.05.
We crossed Opn4Cre/+;ZEG to Wildtype mice to generate Opn4Cre/+;ZEG animals and Opn4LacZ/LacZ to Opn4-GFP to generate Opn4LacZ/+;Opn4-GFP mice. See Table 2 for more information on labeled cell types. Male and female mice were house together and female mice were checked daily for copulation plug. Once plug was confirmed, the potentially pregnant female was separated from the male and singly housed. On the day before the targeted gestation day, pregnant females were water deprived for 24 h. On the targeted gestation day, pregnant females were given 400 μL of water containing 30 μg/g of EdU (Abcam, ab146186) every 2 h for 12 h. Gestation day was confirmed when female gave birth on the 19th day.
EdU mice of the correct genotype were dissected between 30 and 60 days of age. Mice were euthanized with CO2 asphyxiation, followed by cervical dislocation. Eyes were enucleated and retinas were fixed overnight in 4% PFA at 4 °C. The next day retinas were washed with PBS, blocked for 1 h at room temperature in 0.3% Triton-X, 6% goat or donkey serum and then placed into primary solution for 2–3 nights at 4 °C. Then retinas were washed with PBS and incubated in secondary solution for 2 h at room temperature. Finally, retinas were washed with PBS and click-it reaction was performed according to manufacturer’s specifications on flat mounted retina (Thermo, C10640). After click-it reaction, retinas were washed with PBS and mounted in fluoromount. See Table 1 for specific antibodies and concentrations. 8 images were acquired at 0.5 mm, 1.0 mm, and 1.5 mm from the optic nerve for a total of 24 per retina. All images were captured using a confocal laser scanning microscope (LSM, DFC 310 FX, Leica) with a 40x oil-immersion objective.
Morphological properties of ipRGC subtypes during development
In order to assess the morphological and physiological properties of ipRGC subtypes during development, we first needed to confirm that we could reliably identify each subtype at early postnatal stages using criteria available to differentiate the adult subtypes. We chose to focus on M1, M2, and M4 ipRGCs because the properties of these subtypes are well characterized and they have been previously shown to tile the retina [25,26,27]. M1, M2, and M4 ipRGCs can be differentiated by their dendritic stratification in the inner plexiform layer (M1: OFF stratifying and M2, M4: ON stratifying) and by presence (M4) or absence (M1, M2) of SMI-32 immunolabeling. We therefore first wanted to determine whether we could identify ipRGC subtypes during postnatal development using these same criteria: M1 ipRGCs, OFF stratifying and SMI-32 negative, M2 ipRGCs, ON stratifying, SMI-32 negative, and M4 ipRGCs, ON stratifying, SMI-32 positive. We targeted ipRGCs in Opn4-GFP mice for patch clamp recordings of ipRGCs at P6, P8, P10, P14, and Adult ages and filled cells with neurobiotin. We then performed immunohistochemistry for SMI-32 and choline acetyltransferase (ChAT), determined whether each cell was SMI-32 positive and whether it was ON or OFF stratifying (using ChAT bands as a reference). Using the aforementioned subtyping criteria, we find that we can indeed clearly identify these three ipRGC subtypes in our earliest time point, P6 (Fig. 1). We therefore continued to use this method to categorize all ipRGCs going forward.
Interestingly, when we mapped the lamination patterns of M1, M2, and M4 ipRGCs at P6 and adulthood, we found that all ipRGC subtypes had a different lamination pattern compared to their adult counterparts with the M1 subtype being most similar to adulthood (Fig. 1b). In contrast, the M2 and M4 subtypes seem to experience a bigger change in lamination pattern as cells mature. We observed that the M2 ipRGCs stratify closer to the middle of the IPL in early postnatal development before refining this dendritic lamination to the innermost portion of the IPL in adulthood (Fig. 1d) and that the M4 ipRGCs have dendrites stratifying closer to the ganglion cell layer in early postnatal development but then moving slightly closer to the middle of the IPL in adulthood (Fig. 1f), in agreement with previous observations of adult M2 and M4 ipRGC morphology . These findings suggest that although the M1, M2, and M4 ipRGC dendrites broadly stratify within the correct layer early on, their dendritic stratification undergoes refinement in later parts of postnatal development.
The ability to define ipRGC subtypes early in development affords us the opportunity to characterize the progression of ipRGC structural and functional development in a way that is not possible for most RGC types. By using SMI-32 and dendritic stratification we then went on to assess ipRGC subtypes morphology and physiology through development. We first analyzed the morphological changes that occur in each ipRGC subtype during postnatal development. To do this, we filled M1, M2, and M4 ipRGCs with Neurobiotin at P6, 8, 10, 14 and Adult stages. We measured soma size, dendritic field diameter, and total dendritic length, and performed Sholl analysis to assess the complexity of the dendritic arbors (Fig. 2). We found that soma size remained constant across development in M1 and M2 ipRGCs, but increased in M4 ipRGCs (Fig. 2h). With regards to dendritic field size, we found that M1 ipRGCs exhibit adult dendritic field size and length by P10 (Fig. 2c, d), while M2 ipRGCs mature by P14 (Fig. 2f, g) and M4 ipRGCs continuing to expand their dendritic field size and complexity beyond P14 (Fig. 2i, j).
In adulthood, M1 ipRGCs have the smallest somata and smallest, least complex dendritic arbors amongst these three subtypes while M4 ipRGCs have the largest somata, as well as the largest and most complex dendritic arbors [1, 25, 28] (Fig. 3f). We therefore next examined whether the reported morphological differences between adult ipRGC subtypes could be detected at early postnatal stages (Fig. 3). Interestingly, at P6, we find that M1 ipRGCs have the largest dendritic field diameter while M4 ipRGCs have the smallest, which may be reflective of a faster rate of maturation for M1 ipRGC morphology (Fig. 3a). All three subtypes exhibit similar total dendritic length at this age while in adulthood M4 cells have the largest total dendritic length of the three subtypes (Fig. 3c, d). Of note, we found a large spread in the morphological measurements for the M1 and M4 subtypes the adult stage (Fig. 4), and so we did not find that the subtypes were significantly different in dendritic field diameter (Fig. 3b), as had been previously reported [1, 25, 28]. The M4 variation is likely a function of the large differences in M4 ipRGC arbors from nasal, where M4 cells are very large, to temporal retina where M4 cells are very small . Additionally, M1 ipRGCs have been reported to show large variation in their morphological (and biophysical) properties . Sholl analyses comparing morphological complexity between all three subtypes reveals that the M2 and M4 ipRGCs begin to exhibit more complex dendritic arbors than M1 ipRGCs at early postnatal stages (Fig. 3e, f).
Physiological properties of ipRGC subtypes during development
Following morphological analysis, we next characterized the intrinsic physiological properties of M1, M2, and M4 ipRGCs across development. In general, the intrinsic physiological properties of each subtype were relatively stable across development (Fig. 5). We observed that M1 cells have a downward trend in capacitance and input resistance as cells age (Fig. 5c, d) while M2 and M4 cells experience a drop in capacitance between P14 and adult, as well as a downward trend in input resistance as development progresses (Fig. 5g, h, k, l). The variation in capacitance and resistance in particular are likely to be a combination of changes in membrane surface area, intrinsic membrane properties, and electrical coupling with a surrounding network of cells . When we directly compared the input resistance and resting membrane potential of M1, M2, and M4 ipRGC subtypes at P6 and Adult ages, we found that M1 cells have a more depolarized resting membrane potential and higher input resistance even early in development (Fig. 6a, c). These differences mimic those previously observed in light adapted tissue for adult M1 versus M2 and M4 ipRGCs [20, 32] as well as our own observations (Fig. 6b, d).
We next compared the spiking properties and action potential waveform of M1, M2, and M4 ipRGCs. We performed current clamp recordings from each of these subtypes and injected 1 s stepwise depolarizing current of 10 or 20pA until cells reached depolarization block. M1 ipRGCs show very few action potentials evoked by positive current (Fig. 7a, b), as reported previously for light-adapted M1 cells [9, 20]. In contrast, the M2 and M4 subtypes are much more excitable during development with the M4 subtype significantly increasing in excitability as cells mature (Fig. 7a, d, f). Somewhat surprisingly, the current density needed to reach the maximum spiking frequency was not significantly different across ages (Fig. 7c, e, g) for each of the subtypes. We next analyzed several components of individual action potentials from each subtype including width at half max, threshold, and fast after hyperpolarization (Fig. 8). Unsurprisingly, we find that action potential width at half-max decreases for all cell types across development (Fig. 8b, e, h) which is in line with typical progression of neuronal development [33, 34]. We also observe that threshold decreases for the M2 and M4 subtypes as cells mature (Fig. 8f, i).
In addition to the intrinsic properties of M1, M2, and M4 ipRGCs, we also examined the ipRGC light response across development. We performed current clamp recordings of ipRGC light responses to 30s of saturating blue light stimulus at 1 × 1017 photons/cm2 s− 1 at P6, P8, P10, P14, and Adult. In general, we found that all subtypes exhibited adult-like light responses by P14 (Fig. 9), consistent with the intact synaptic circuitry in the retina around the time of eye opening [15, 16]. Specifically, M2 and M4 ipRGCs, which are known to receive strong drive from the cone pathway [1, 28, 35], show faster and larger light responses as development progress (Fig. 9d-g). M1 ipRGCs, however, had statistically similar light responses throughout development (Fig. 9b, c). This is in line with previous reports that M1 ipRGCs are strongly driven by melanopsin phototransduction in bright light , and indicates that M1 ipRGCs show mature light responses from early developmental stages. M1 cells also showed strong depolarization block in their light responses, as reported previously . We note that there is a large variability in the light response for the M2 subtype at early developmental timepoints (Fig. 9a, d, e), which could mean that the M2 population is quite diverse earlier in development. This may reflect a difference between M2 cells that project to image and non-image forming visual regions, though this remains to be tested . Interestingly, when we compared ipRGC light responses early in development and adulthood, we observe that the maximum depolarization in response to light and onset time is statistically the same between all subtypes during development, although the M1 subtype tended to have a slightly larger depolarization and faster onset time on average (Fig. 10a, c). In adulthood, we see that again all subtypes have a similar maximum depolarization, however, the M1 subtype has the slowest onset time (Fig. 10b, d).
Assessing the embryonic birthdate of ipRGC subtypes
Overall, our results suggest that ipRGC subtypes mature at different rates during postnatal development. We next asked whether these differences in maturation rate might be reflected in differences in cellular birthdate. That is, do the M1, M2, and M4 subtypes terminally differentiate at different embryonic timepoints, and how does this compare to the birthdate of conventional RGCs? To answer this, we utilized 5-ethynyl-2′-deoxyuridine (EdU), a thymidine analog, to label cells that terminally differentiated on specific embryonic days, also known as birthdating. We first compared the birthdate of all ipRGCs, M1–3 ipRGCs, and Brn3a-positive RGCs (non-ipRGCs). To do this, we quantified the percentage of cells that were EdU and GFP positive in both Opn4Cre/+; Z/EG animals (where all ipRGCs are labeled with GFP; Fig. 11a) and Opn4LacZ/+; Opn4-GFP animals (where only M1-M3 ipRGCs are labeled with GFP and only M1 ipRGCs are labeled with LacZ; Fig. 11a) from Embryonic Day E11–14. We also immunostained for a non-ipRGC population of RGC, the Brn3a-positive RGCs (Fig. 11a), and counted the number EdU-positive, Brn3a-positive RGCs from E11–14. While ipRGCs appear to be born primarily on E11 and E12 (Fig. 11b, c), we observed that Brn3a positive RGCs continued to terminally differentiate at E13 and E14, suggesting that ipRGC birthdates differ from other RGC types.
We next wanted to assess and compare the birthdate of individual ipRGC subtypes (M1, M2/3, and M4 ipRGCs). To identify M4 ipRGCs from “non-M4” ipRGCs, we immunolabeled Opn4Cre/+; Z/EG retinas for SMI-32. M4 ipRGCs are easily identified as GFP positive, SMI-32 positive, while non-M4 ipRGCs are GFP positive, SMI-32 negative (Fig. 12b). In this line, OFF alpha RGCs can also be identified as GFP negative, SMI-32 positive. To differentiate M1 and M2/3 ipRGCs, we immunolabeled Opn4LacZ/+; Opn4-GFP mice for LacZ and GFP. M1 ipRGCs will be both GFP and LacZ positive (Fig. 12a), while M2/3 ipRGCs should be GFP positive, LacZ negative (though some M3 ipRGCs may be LacZ positive, see ; Fig. 12a). In agreement with our broad comparisons in Fig. 11, we find that M1, M2, and M4 ipRGCs are all primarily born on E11 and E12 (Fig. 12c, d). Interestingly, when we compared the birthdate of M4/ON alpha RGCs and OFF alpha RGCs, we find that the OFF alpha RGCs continue to be born through E13 (Fig. 12e, f), highlighting an important difference in birthdate between the ON and OFF alpha RGC population, despite these cells being considered part of the same class of (alpha) RGC.
ipRGCs are a diverse class of RGC that influence not only a wide range of visual behaviors, but also several important components of retinal development such as spontaneous retinal waves and pruning of retinal vasculature. While there have been several studies that have looked at ipRGCs during postnatal retinal development, only a few have distinguished amongst ipRGC subtypes. Understanding the properties of ipRGC subtypes throughout development, as we have done in this work, is a crucial first step in defining the mechanisms by which ipRGCs exert their many and varied influences on retinal and visual system development.
ipRGC subtypes are identifiable in early postnatal development via dendritic stratification and SMI-32 immunohistochemistry
As with adult animals, we found that we were able to use dendritic stratification and SMI-32 to differentiate between M1, M2, and M4 ipRGCs. ipRGC stratification could be clearly identified at P6, and all of the ipRGCs in this dataset were clearly monostratified, even at P6. Moreover, SMI-32 immunolabeling was clearly evident in only a subset of ON-stratifying ipRGCs. One caveat of this approach is that we cannot be absolutely certain that the SMI-32 negative ipRGCs do not shift their dendrites from ON to OFF or OFF to ON as development progresses because we are unable to follow the development of single cells across time. However, all OFF ipRGCs exhibited properties and light responses that are consistent with M1 ipRGCs physiology . Moreover, none of the cells described here were bistratified, which is a transition state we would expect to observe regularly if stratification patterns shifted during development. These factors lead us to conclude that our method is likely able to correctly identify M1, M2, and M4 ipRGCs from early developmental stages.
M1 ipRGCs have the largest dendritic field during early postnatal development
In general, we observed that all subtypes have the same upward trend in dendritic field expansion and complexity across early postnatal development. Surprisingly, we found that in early development the M1 subtype had the largest dendritic field and M4 cells had the smallest, despite a reversal of these patterns in adulthood [25, 28]. However, we do find that in early development, like in adulthood, M1 cells have the least complex dendritic field (Fig. 3; [20, 25, 28, 38]). Overall, our data suggest that the M1 subtype reaches an adult morphology earlier than either M2 or M4 cells. This could be attributed to the fact that M1 dendrites most likely undergo less expansion and branching relative to the M2 and M4 subtypes.
Physiological properties are largely stable from early developmental stages
Unlike with morphology, we see that most of the general rules for physiological differences between the subtypes in adult animals are also observed in early postnatal stages. For example, the adult M4 subtype has been shown to be more excitable than M1 and M2 cells [9, 20, 32] and here we report that the M4 subtype is the most excitable among the three subtypes in both adulthood and during postnatal development (Fig. 7). We also find that, like in adulthood, the M1 subtype has the most depolarized resting membrane potential and largest input resistance among ipRGC subtypes during early postnatal development (Fig. 6; [9, 20, 32]). While it is expected that physiological properties for ipRGC subtypes would be different from what has been reported in adulthood, it is interesting that the physiological differences between subtypes remains relatively consistent through development. These findings support the idea that different subtypes might be influencing different aspects of retinal development via unique signaling properties and physiological roles. One other interesting observation that we note is that both input resistance and capacitance decrease in all subtypes as cells mature, although it is more gradual in the M1 subtype relative the M2 and M4 subtypes (Fig. 5). Changes to capacitance and, to some extent, input resistance are indicative of changes in amount of cellular membrane surface area. Given that we observe an overall growth of the dendritic field and thus an increase in membrane for all subtypes, we would expect capacitance to increase as cells mature. The fact that we observe the exact opposite of this indicates that membrane space must be decreasing in some other way that we did not observe morphologically. One such way would be changes in electrical coupling between cells, which can influence capacitance and input resistance. In fact, it has been reported that ipRGCs during development are extensively coupled [12, 31]. While there has yet to be a study that directly looks at how coupling changes in ipRGC subtypes across development as well as how it differs between subtypes during development, it has been shown that M1 and M2 ipRGCs are coupled to GABAergic and ON displaced amacrine cells in adulthood [38, 39]. Similarly, adult M4 cells have been shown to couple amacrine cells . In contrast, work done by Arroyo et al., revealed that during development, ipRGCs are mostly connected to other retinal ganglion cells and other ipRGCs with low connectivity to GABAergic and other types of amacrine cells . They also showed that the number of cells that ipRGCs couple to 15 cells on average. In comparison, ipRGCs in adulthood have been found to couple to 5–25 cells with stark differences in number of cells coupled between subtypes . Taken together, this suggests that there is most likely a profound change in coupling between development and adulthood, a phenomenon that has been reported for ON-OFF direction-selective RGCs . Further work will need to be done to understand how the network changes as development progresses and if it changes different from subtype to subtype.
Diversity ipRGC light responses during development
Multielectrode array recordings of light responses in P8 retinas were one of the first ways in which it was revealed that there are multiple subtypes of ipRGCs. Tu et al. found that there were three types during development based on light onset as defined by start of spike output: Type I, slow onset, sensitive, fast offset, Type II, slow onset, insensitive, slow offset, and Type III, rapid onset, sensitive, very slow offset . Follow up studies have suggested that adult M1 is type III  and adult M2 is type II  and adult M4 is type I . In complement to this, we used whole cell recording techniques to show that maximum depolarization is similar across subtypes at P8 and that when we define light onset by time to reach 50% of maximum light response, we find that M1 subtype (Type III) is still the fastest with the M2 (Type II) and M4 (Type I) subtypes having similar onset times (Fig. 10). Combined, this illustrates that while subtypes have similar maximum depolarizations in response to light, the kinetics of that response are actually very different. This diversity in kinetics and firing frequency gives rise to the very likely possibility that different subtypes might be modulating different developmental factors in response to light. However, it is not clear which components of the light response (firing frequency, spike latency, onset time of maximum response, or absolute maximum depolarization) are important determinants in modulating different aspects of retinal development in response to light and if the determining feature varies between light responsive developmental traits. Additionally, we recorded all light responses without synaptic blockers to measure the integrated light response of ipRGC subtypes, so it is not possible to separate melanopsin versus rod/cone signaling with our ipRGC recording paradigm. Currently, it seems to be that any or all of the ipRGC subtypes could be the modulators of retinal vasculature or the prolonging retinal waves in response to light. Genetic models that allow us to ablate single subtypes or abolish the melanopsin response within a particular subtype will help resolve the requirements of the melanopsin response as well as which subtypes are necessary for specific behaviors.
ipRGC birthdates diverge from conventional RGCs
Previously, it had been reported that RGCs have different birthdates based on their ganglion cell classification  and that Cdh3 positive RGCs which include a subset of the ipRGC population  are born between E10 and E12. Furthermore, it has also been reported that the majority M1 ipRGCs are born between E11 and E12 . However, this study counted LacZ+ ipRGCs at P0, a time point at which other subtypes have been reported to express high amounts melanopsin . Thus, making it unclear if this was a purely M1 ipRGC population. Nonetheless, it is clear that some ipRGCs are born in the earlier part of retina cell type neurogenesis. Given the morphological and physiological differences within ipRGC subtypes (Figs. 3 and 6; [20, 25, 28]), we wondered whether non-M1 ipRGCs would also be born in the E11-E12 timeframe or if they would have different birthdates. Our results show that the majority of the M1, M2, and M4 ipRGC subtypes are born in within the E10-E12 timeframe and also reveal that M1, M2, and, M4 ipRGCs are all born at same rate (Fig. 12).
Our results also reveal that ipRGCs are born before Brn3a positive RGCs, thus revealing that RGC subtypes can vary in their birthdate, consistent with previous [42, 44]. However, this result is in contrast with a previous study of De la Huerta et al. in 2012  who showed that there was no difference in birthdate between RGC subtypes. We believe that one main contributing factor to this discrepancy is a difference in temporal resolution of our two studies. While we assessed birthdate at 1 day intervals, De la Huerta et al. used 2 or more. Additionally, this previous study used BrdU instead of EdU to label post-mitotic cells. Labeling with BrdU requires subsequent acid or heat shock to make the BrdU recognition site available for immunohistochemistry. Such harsh treatment could have altered antibody recognition sites for Brn3a. Lastly, the authors assessed cellular birthdates in retinal slices rather than whole mount like in this study. Altogether, this could have led to less cells counted over a longer interval period in comparison to this study which most likely led to large differences between our studies. More work to differentiate subsets of Brn3a positive cells will be an important avenue for future research.
The study done by Osterhout in 2014 also showed that the time at which an RGC is born can dictate the strategy the cell will employ in axon targeting. ipRGC subtypes each target very different brain regions, with M1 and some M2 ipRGCs targeting non-image forming targets and other M2 and M4 ipRGCs targeting image-forming brain regions [25, 26, 46], indicating that RGCs with different downstream targets are also born at overlapping time points. Interestingly, we also observed that OFF alpha ganglion cells which share the alpha RGC classification with the M4 subtype, show distinctly different birthdating patterns from the ON alpha RGCs. It is possible that these temporal differences in differentiation underlie additional differences in ON versus OFF alpha RGC properties.
Because most RGC types are identified based on their adult characteristics, following distinct RGC types across development has proven difficult. ipRGCs early expression of melanopsin along with other identification markers provide us a unique opportunity to follow multiple RGC subtypes through development. Leveraging this advantage, we were able to carry out a broad characterization of ipRGC subtypes throughout the developmental timepoints at which they are influencing retinal and visual system development. This study lays the groundwork for future studies into the precise role of each ipRGC subtype in retinal development.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ganglion cell layer
Inner nuclear layer
Inner plexiform layer
Intrinsically photosensitive retinal ganglion cells
Retinal ganglion cells
Schmidt TM, Alam NM, Chen S, Kofuji P, Li W, Prusky GT, et al. A role for melanopsin in alpha retinal ganglion cells and contrast detection. Neuron. 2014;82(4):781–8.
Hattar S, Lucas RJ, Mrosovsky N, Thompson S, Douglas RH, Hankins MW, et al. Melanopsin and rod-cone photoreceptive systems account for all major accessory visual functions in mice. Nature. 2003;424(6944):76–81.
Lucas RJ, Hattar S, Takao M, Berson DM, Foster RG, Yau KW. Diminished pupillary light reflex at high irradiances in melanopsin-knockout mice. Science (New York, NY). 2003;299(5604):245–7.
Hattar S, Liao HW, Takao M, Berson DM, Yau KW. Melanopsin-containing retinal ganglion cells: architecture, projections, and intrinsic photosensitivity. Science (New York, NY). 2002;295(5557):1065–70.
Altimus CM, Guler AD, Villa KL, McNeill DS, Legates TA, Hattar S. Rods-cones and melanopsin detect light and dark to modulate sleep independent of image formation. Proc Natl Acad Sci U S A. 2008;105(50):19998–20003.
LeGates TA, Fernandez DC, Hattar S. Light as a central modulator of circadian rhythms, sleep and affect. Nat Rev Neurosci. 2014;15(7):443–54.
Fernandez DC, Fogerson PM, Lazzerini Ospri L, Thomsen MB, Layne RM, Severin D, et al. Light affects mood and learning through distinct retina-brain pathways. Cell. 2018;175(1):71–84.e18.
LeGates TA, Altimus CM, Wang H, Lee HK, Yang S, Zhao H, et al. Aberrant light directly impairs mood and learning through melanopsin-expressing neurons. Nature. 2012;491(7425):594–8.
Sonoda T, Lee SK, Birnbaumer L, Schmidt TM. Melanopsin Phototransduction is repurposed by ipRGC subtypes to shape the function of distinct visual circuits. Neuron. 2018;99(4):754–67 e4.
Rao S, Chun C, Fan J, Kofron JM, Yang MB, Hegde RS, et al. A direct and melanopsin-dependent fetal light response regulates mouse eye development. Nature. 2013;494(7436):243–6.
Vemaraju S, Nayak G, Miller WE, Copenhagen DR, Lang RA. Fetal stage melanopsin (OPN4) and GNAQ (Gαq) signaling regulates vascular development of the eye. 2019:537225.
Sekaran S, Lupi D, Jones SL, Sheely CJ, Hattar S, Yau KW, et al. Melanopsin-dependent photoreception provides earliest light detection in the mammalian retina. Curr Biol. 2005;15(12):1099–107.
Tu DC, Zhang D, Demas J, Slutsky EB, Provencio I, Holy TE, et al. Physiologic diversity and development of intrinsically photosensitive retinal ganglion cells. Neuron. 2005;48(6):987–99.
Sexton TJ, Bleckert A, Turner MH, Van Gelder RN. Type I intrinsically photosensitive retinal ganglion cells of early post-natal development correspond to the M4 subtype. Neural Dev 2015;10:17.
Tian N, Copenhagen DR. Visual stimulation is required for refinement of ON and OFF pathways in postnatal retina. Neuron. 2003;39(1):85–96.
Sernagor E, Eglen SJ, Wong RO. Development of retinal ganglion cell structure and function. Prog Retin Eye Res. 2001;20(2):139–74.
Renna JM, Weng S, Berson DM. Light acts through melanopsin to alter retinal waves and segregation of retinogeniculate afferents. Nat Neurosci. 2011;14(7):827–9.
Chew KS, Renna JM, McNeill DS, Fernandez DC, Keenan WT, Thomsen MB, et al. A subset of ipRGCs regulates both maturation of the circadian clock and segregation of retinogeniculate projections in mice. eLife. 2017;6.
Johnson J, Wu V, Donovan M, Majumdar S, Renteria RC, Porco T, et al. Melanopsin-dependent light avoidance in neonatal mice. Proc Natl Acad Sci U S A. 2010;107(40):17374–8.
Schmidt TM, Kofuji P. Functional and morphological differences among intrinsically photosensitive retinal ganglion cells. J Neurosci. 2009;29(2):476–82.
Schmidt TM, Taniguchi K, Kofuji P. Intrinsic and extrinsic light responses in melanopsin-expressing ganglion cells during mouse development. J Neurophysiol. 2008;100(1):371–84.
Nath A, Schwartz GW. Cardinal orientation selectivity is represented by two distinct ganglion cell types in mouse retina. J Neurosci. 2016;36(11):3208–21.
Sumbul U, Zlateski A, Vishwanathan A, Masland RH, Seung HS. Automated computation of arbor densities: a step toward identifying neuronal cell types. Front Neuroanat. 2014;8:139.
Jenerick H. Phase Plane Trajectories Of The Muscle Spike Potential. Biophys J. 1963;3:363–77.
Ecker JL, Dumitrescu ON, Wong KY, Alam NM, Chen SK, LeGates T, et al. Melanopsin-expressing retinal ganglion-cell photoreceptors: cellular diversity and role in pattern vision. Neuron. 2010;67(1):49–60.
Hattar S, Kumar M, Park A, Tong P, Tung J, Yau KW, et al. Central projections of melanopsin-expressing retinal ganglion cells in the mouse. J Comp Neurol. 2006;497(3):326–49.
Berson DM, Castrucci AM, Provencio I. Morphology and mosaics of melanopsin-expressing retinal ganglion cell types in mice. J Comp Neurol. 2010;518(13):2405–22.
Estevez ME, Fogerson PM, Ilardi MC, Borghuis BG, Chan E, Weng S, et al. Form and function of the M4 cell, an intrinsically photosensitive retinal ganglion cell type contributing to geniculocortical vision. J Neurosci. 2012;32(39):13608–20.
Bleckert A, Schwartz GW, Turner MH, Rieke F, Wong RO. Visual space is represented by nonmatching topographies of distinct mouse retinal ganglion cell types. Curr Biol. 2014;24(3):310–5.
Emanuel AJ, Kapur K, Do MTH. Biophysical variation within the M1 type of ganglion cell photoreceptor. Cell Rep. 2017;21(4):1048–62.
Arroyo DA, Kirkby LA, Feller MB. Retinal waves modulate an Intraretinal circuit of intrinsically photosensitive retinal ganglion cells. J Neurosci. 2016;36(26):6892–905.
Hu C, Hill DD, Wong KY. Intrinsic physiological properties of the five types of mouse ganglion-cell photoreceptors. J Neurophysiol. 2013;109(7):1876–89.
Dallman JE, Dorman JB, Moody WJ. Action potential waveform voltage clamp shows significance of different Ca2+ channel types in developing ascidian muscle. J Physiol 2000;524 Pt 2:375–386.
Picken Bahrey HL, Moody WJ. Early development of voltage-gated ion currents and firing properties in neurons of the mouse cerebral cortex. J Neurophysiol. 2003;89(4):1761–73.
Schmidt TM, Kofuji P. Differential cone pathway influence on intrinsically photosensitive retinal ganglion cell subtypes. J Neurosci. 2010;30(48):16262–71.
Milner ES, Do MTH. A population representation of absolute light intensity in the mammalian retina. Cell. 2017;171(4):865–76 e16.
Pires SS, Hughes S, Turton M, Melyan Z, Peirson SN, Zheng L, et al. Differential expression of two distinct functional isoforms of melanopsin (Opn4) in the mammalian retina. J Neurosci. 2009;29(39):12332–42.
Muller LP, Do MT, Yau KW, He S, Baldridge WH. Tracer coupling of intrinsically photosensitive retinal ganglion cells to amacrine cells in the mouse retina. J Comp Neurol. 2010;518(23):4813–24.
Reifler AN, Chervenak AP, Dolikian ME, Benenati BA, Li BY, Wachter RD, et al. All spiking, sustained ON displaced amacrine cells receive gap-junction input from melanopsin ganglion cells. Curr Biol. 2015;25(21):2763–73.
Volgyi B, Abrams J, Paul DL, Bloomfield SA. Morphology and tracer coupling pattern of alpha ganglion cells in the mouse retina. J Comp Neurol. 2005;492(1):66–77.
Xu Z, Zeng Q, Shi X, He S. Changing coupling pattern of the ON-OFF direction-selective ganglion cells in early postnatal mouse retina. Neuroscience. 2013;250:798–808.
Osterhout JA, El-Danaf RN, Nguyen PL, Huberman AD. Birthdate and outgrowth timing predict cellular mechanisms of axon target matching in the developing visual pathway. Cell Rep. 2014;8(4):1006–17.
Osterhout JA, Josten N, Yamada J, Pan F, Wu SW, Nguyen PL, et al. Cadherin-6 mediates axon-target matching in a non-image-forming visual circuit. Neuron. 2011;71(4):632–9.
McNeill DS, Sheely CJ, Ecker JL, Badea TC, Morhardt D, Guido W, et al. Development of melanopsin-based irradiance detecting circuitry. Neural Dev. 2011;6:8.
De la Huerta I, Kim IJ, Voinescu PE, Sanes JR. Direction-selective retinal ganglion cells arise from molecularly specified multipotential progenitors. Proc Natl Acad Sci U S A. 2012;109(43):17663–8.
Chen SK, Badea TC, Hattar S. Photoentrainment and pupillary light reflex are mediated by distinct populations of ipRGCs. Nature. 2011;476(7358):92–5.
We would like to thank Dr. Gregory Schwartz and members of the Schmidt lab for helpful comments on the manuscript. We would also like to thank Dr. Marla Feller for the gift of the Opn4-GFP mice and Dr. Samer Hattar for the gift of the Opn4Cre and Opn4LacZ lines. We would also like to thank David Swygart for his help with the IPL depth analysis and Sophia Wienbar for her assistance with the action potential analysis.
This work was funded by an NIH grant 1DP2EY027983, a Sloan Research Fellowship in Neuroscience, and a Klingenstein-Simons Fellowship in the Neurosciences to TMS, and a Northwestern Graduate School Fellowship to support JAL.
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All procedures were approved by the Animal Care and Use Committee at Northwestern University.
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The authors declare that they have no competing interests.
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