Vincent P. Kunze

In retinal degenerative disease, microglia and macrophages accumulate at sites of pathology and strongly influence disease progression, yet their distinct contributions remain unclear. To define the fate and function of infiltrating monocyte-derived macrophages (MDM) in retinal degeneration, we generated a CCR2-CreER mouse line on the rd10 background to enable precise monocyte-specific tracking and ablation. Infiltrating monocytes rapidly downregulated CCR2 and LY6C upon entering the retina and acquired de novo TMEM119 and P2RY12 expression, together with a ramified, microglia-like morphology. Immunohistochemistry and transcriptomic profiling showed that a subset of these cells was cleared by resident microglia. Microglia–monocyte interactions enhanced Müller cell C3 production, whereas activated microglia increased CFB and decreased CFH expression, thereby promoting complement alternative pathway activation. Selective ablation of infiltrating monocytes reduced microglial activation and phagocytosis, suppressed Müller cell C3 expression and complement deposition, lowered proinflammatory cytokine levels, and ultimately ameliorated photoreceptor degeneration. These findings identify infiltrating monocytes as key drivers of immune dysregulation and proinflammation, highlighting them as potential targets for neuroprotective therapy.

The basic plan of the retina is conserved across vertebrates, yet species differ profoundly in their visual needs¹. Retinal cell types may have evolved to accommodate these varied needs, but this has not been systematically studied. Here we generated and integrated single-cell transcriptomic atlases of the retina from 17 species: humans, two non-human primates, four rodents, three ungulates, opossum, ferret, tree shrew, a bird, a reptile, a teleost fish and a lamprey. We found high molecular conservation of the six retinal cell classes (photoreceptors, horizontal cells, bipolar cells, amacrine cells, retinal ganglion cells (RGCs) and Müller glia), with transcriptomic variation across species related to evolutionary distance. Major subclasses were also conserved, whereas variation among cell types within classes or subclasses was more pronounced. However, an integrative analysis revealed that numerous cell types are shared across species, based on conserved gene expression programmes that are likely to trace back to an early ancestral vertebrate. The degree of variation among cell types increased from the outer retina (photoreceptors) to the inner retina (RGCs), suggesting that evolution acts preferentially to shape the retinal output. Finally, we identified rodent orthologues of midget RGCs, which comprise more than 80% of RGCs in the human retina, subserve high-acuity vision, and were previously believed to be restricted to primates². By contrast, the mouse orthologues have large receptive fields and comprise around 2% of mouse RGCs. Projections of both primate and mouse orthologous types are overrepresented in the thalamus, which supplies the primary visual cortex. We suggest that midget RGCs are not primate innovations, but are descendants of evolutionarily ancient types that decreased in size and increased in number as primates evolved, thereby facilitating high visual acuity and increased cortical processing of visual information.

Precise wiring within sensory systems is critical for the accurate transmission of information. In the visual system, S-cone photoreceptors specialize in detecting short-wavelength light, crucial to color perception and environmental cue detection. S-cones form specific synapses with S-cone bipolar cells (SCBCs), a connection that is remarkably consistent across species. Yet, the molecular mechanisms guiding this specificity remain unexplored. To address this, we used the cone-dominant ground squirrel for deep-sequencing of cone subtype transcriptomes and identified Nrxn3 as an essential molecule for the S-cone to SCBC synapse. Using transgenic mouse models, we further examined the role of Nrxn3 in S-cones and discovered a significant reduction of SCBC connections in the absence of Nrxn3 . This finding extends the known functions of neurexins, typically associated with synapse regulation, by highlighting their essential role in a specific synaptic connection for the first time. Moreover, the differentially expressed genes identified here pave the way for further investigations into the unique functions of cone subtypes.

During development, retinal progenitors navigate a complex landscape of fate decisions to generate the major cell classes necessary for proper vision. Transcriptional regulation is critical to generate diversity within these major cell classes. Here, we aim to provide the resources and techniques required to identify transcription factors necessary to generate and maintain diversity in photoreceptor subtypes, which are critical for vision. First, we generate a key resource: a high-quality and deep transcriptomic profile of each photoreceptor subtype in adult zebrafish. We make this resource openly accessible, easy to explore, and have integrated it with other currently available photoreceptor transcriptomic datasets. Second, using our transcriptomic profiles, we derive an in-depth map of expression of transcription factors in photoreceptors. Third, we use efficient CRISPR-Cas9 based mutagenesis to screen for null phenotypes in F0 larvae (F0 screening) as a fast, efficient, and versatile technique to assess the involvement of candidate transcription factors in the generation of photoreceptor subtypes. We first show that known phenotypes can be easily replicated using this method: loss of S cones in foxq2 mutants and loss of rods in nr2e3 mutants. We then identify novel functions for the transcription factor Tbx2, demonstrating that it plays distinct roles in controlling the generation of all photoreceptor subtypes within the retina. Our study provides a roadmap to discover additional factors involved in this process. Additionally, we explore four transcription factors of unknown function (Skor1a, Sall1a, Lrrfip1a, and Xbp1), and find no evidence for their involvement in the generation of photoreceptor subtypes. This dataset and screening method will be a valuable way to explore the genes involved in many other essential aspects of photoreceptor biology.

During development, retinal progenitors navigate a complex landscape of fate decisions that results in the generation of unique cell types necessary for proper vision. Here, we aim to provide the resources and techniques required to identify fac-tors that are critical for fate decisions in photoreceptors. These factors help create a diversity of photoreceptor subtypes that sustain vision in day and night, enable the discrimination of colors, facilitate the detection of prey and predators, and support other aspects of vision. First, we generate a key resource: a high-quality and deep transcriptomic profile of each photoreceptor subtype in zebrafish. We make this resource openly accessible, easy to explore and integrate it with other currently available photoreceptor transcriptomic datasets. Second, using our transcriptomic profiles, we derive an in-depth map of expression of transcription factors in photoreceptors—potential key players in cell-fate decisions. Third, we explore CRISPR-FØ screening as a fast, efficient and versatile technique to assess the involvement of candidate transcription factors in photoreceptor subtype-specification. We first show that known phenotypes can be easily replicated: loss of S cones in foxq2 mutants and loss of rods in nr2e3 mutants. We then explore four additional transcription factors of unknown function (Skor1a, Sall1a, Lrrfip1a and Xbp1) and find no evidence for their involvement in photoreceptor-subtype specification. Finally, we identify novel functions of Tbx2, demonstrating that it plays a central role in controlling the identity of all photoreceptor sub-types within the retina. Our study provides an open roadmap to discover additional factors involved in this process. This dataset and screening method will be a valuable way to explore the genes involved in many essential aspects of photoreceptor biology.

Color, an important visual cue for survival, is encoded by comparing signals from photoreceptors with different spectral sensitivities. The mouse retina expresses a short wavelength-sensitive and a middle/long wavelength-sensitive opsin (S- and M-opsin), forming opposing, overlapping gradients along the dorsal-ventral axis. Here, we analyzed the distribution of all cone types across the entire retina for two commonly used mouse strains. We found, unexpectedly, that ‘true S-cones’ (S-opsin only) are highly concentrated (up to 30% of cones) in ventral retina. Moreover, S-cone bipolar cells (SCBCs) are also skewed towards ventral retina, with wiring patterns matching the distribution of true S-cones. In addition, true S-cones in the ventral retina form clusters, which may augment synaptic input to SCBCs. Such a unique true S-cone and SCBC connecting pattern forms a basis for mouse color vision, likely reflecting evolutionary adaptation to enhance color coding for the upper visual field suitable for mice’s habitat and behavior.

Color, an important visual cue for survival, is encoded by comparing signals from photoreceptors with different spectral sensitivities. The mouse retina expresses a short wavelength-sensitive and a middle/long wavelength-sensitive opsin (S- and M-opsin), forming opposing, overlapping gradients along the dorsal-ventral axis. Here, we analyzed the distribution of all cone types across the entire retina for two commonly used mouse strains. We found, unexpectedly, that ‘true’ S-cones (S-opsin only) are highly concentrated (up to 30% of cones) in ventral retina. Moreover, S-cone bipolar cells (SCBCs) are also skewed towards ventral retina, with wiring patterns matching the distribution of true S-cones. In addition, true S-cones in the ventral retina form clusters, which may augment synaptic input to SCBCs. Such a unique true S-cone pattern forms a basis for mouse color vision, likely reflecting evolutionary adaption to enhance color coding for the upper visual field suitable for mice’s habitat and behavior.

Hibernation is a seasonally adaptive strategy that allows hibernators to live through extremely cold conditions. Despite the profound reduction of blood flow to the retinas, hibernation causes no lasting retinal injury. Instead, hibernators show an increased tolerance to ischemic insults during the hibernation period. To understand the molecular changes of the retinas in response to hibernation, we applied an integrative transcriptome and metabolome analysis to explore changes in gene expression and metabolites of 13‐lined ground squirrel retinas during hibernation. Metabolomic analysis showed a global decrease of ATP synthesis in hibernating retinas. Decreased glucose and galactose, increased beta‐oxidation of carnitine and decreased storage of some amino acids in hibernating retinas indicated a shift of fuel use from carbohydrates to lipids and alternative usage of amino acids. Transcriptomic analysis revealed that the down‐regulated genes were enriched in DNA‐templated transcription and immune‐related functions, while the up‐regulated genes were enriched in mitochondrial inner membrane and DNA packaging‐related functions. We further showed that a subset of genes underwent active alternative splicing events in response to hibernation. Finally, integrative analysis of the transcriptome and metabolome confirmed the shift of fuel use in the hibernating retina by the regulation of catabolism of amino acids and lipids. Through transcriptomic and metabolomic data, our analysis revealed the altered state of mitochondrial oxidative phosphorylation and the shift of energy source in the hibernating retina, advancing our understanding of the molecular mechanisms employed by hibernators. The data will also serve as a useful resource for the ocular and hibernation research communities.

Measurement of the optomotor response is a common way to determine thresholds of the visual system in animals. Particularly in mice, it is frequently used to characterize the visual performance of different genetically modified strains or to test the effect of various drugs on visual performance. Several methods have been developed to facilitate the presentation of stimuli using computer screens or projectors. Common methods are either based on the measurement of eye movement during optokinetic reflex behavior or rely on the measurement of head and/or body-movements during optomotor responses. Eye-movements can easily and objectively be quantified, but their measurement requires invasive fixation of the animals. Head movements can be observed in freely moving animals, but until now depended on the judgment of a human observer who reported the counted tracking movements of the animal during an experiment. In this study we present a novel measurement and stimulation system based on open source building plans and software. This system presents appropriate 360 stimuli while simultaneously video-tracking the animal's head-movements without fixation. The on-line determined head gaze is used to adjust the stimulus to the head position, as well as to automatically calculate visual acuity. Exemplary, we show that automatically measured visual response curves of mice match the results obtained by a human observer very well. The spatial acuity thresholds yielded by the automatic analysis are also consistent with the human observer approach and with published results. Hence, OMR-arena provides an affordable, convenient and objective way to measure mouse visual performance.