On the Generation and Regeneration of Retinal Ganglion Cells
Viviane M. Oliveira-Valença
Alejandra Bosco2† 
Mariana S. Silveira- 1Laboratory of Neurogenesis, Neurobiology Program, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- 2Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, UT, United States
- 3Glial Cell Biology Group, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
Retinal development follows a conserved neurogenic program in vertebrates to orchestrate the generation of specific cell types from multipotent progenitors in sequential but overlapping waves. In this program, retinal ganglion cells (RGCs) are the first cell type generated. RGCs are the final output neurons of the retina and are essential for vision and circadian rhythm. Key molecular steps have been defined in multiple vertebrate species to regulate competence, specification, and terminal differentiation of this cell type. This involves neuronal-specific transcription factor networks, regulators of chromatin dynamics and miRNAs. In mammals, RGCs and their optic nerve axons undergo neurodegeneration and loss in glaucoma and other optic neuropathies, resulting in irreversible vision loss. The incapacity of RGCs and axons to regenerate reinforces the need for the design of efficient RGC replacement strategies. Here we describe the essential molecular pathways for the differentiation of RGCs in vertebrates, as well as experimental manipulations that extend the competence window for generation of this early cell type from late progenitors. We discuss recent advances in regeneration of retinal neurons in vivo in both mouse and zebrafish and discuss possible strategies and barriers to achieving RGC regeneration as a therapeutic approach for vision restoration in blinding diseases such as glaucoma.
Introduction
RGCs are the output neurons of the retina, connecting to brain targets through the optic nerves. Recent single-cell RNA-seq (scRNAseq) studies in the mouse retina have identified 46 transcriptional RGC subtypes (Laboissonniere et al., 2019; Tran et al., 2019). Clusters of RGC subtypes are also defined by properties such as the response to light stimulation, preference for local motion, uniform illumination or motion direction, dendritic morphology and lamination (Kong et al., 2005; Coombs et al., 2006; Laboissonniere et al., 2019; Tran et al., 2019). Although a great variety of visual attributes are codified by these RGC subtypes, the molecular mechanisms responsible for generating this diversity are not completely understood.
In vertebrates it is well established that RGCs are among the earliest-born cell types. In chicken, RGC generation starts at embryonic day 2, E2 (Prada et al., 1991; Zhang et al., 2018), in zebrafish 27–28 hpf (hours post fertilization) (Hu and Easter, 1999), in Xenopus, between stages 24 and 29 (Holt et al., 1988), and in the mouse, from E11 up to postnatal day 0 (P0, corresponding to around E19), with a peak at E14 (Drager, 1985; Young, 1985). In human embryonic retina RGC neurogenesis starts at the 7th gestation week, and transcriptomic and scRNAseq analysis showed similarity in cell specification timing as compared to mice (Aldiri et al., 2017; Hoshino et al., 2017; Lu et al., 2020).
Although much remains to be learned regarding the mechanisms underlying RGC generation, a hierarchical organization of transcription factors (TFs) has been defined that constitute a gene regulatory network in early progenitors essential to determine RGC competence, specification and terminal differentiation through the expression of critical effector genes (Figure 1; Boije et al., 2014; Mellough et al., 2019; Nguyen-Ba-Charvet and Rebsam, 2020). While most of this has been studied in model organisms, particularly mouse and zebrafish, relevant information has recently been generated from the study of retinal organoids, which allows the characterization of the molecular programs for the generation and diversification of cell types (Hoshino et al., 2017; Fligor et al., 2018), as well as comparison with developing human retina (Hoshino et al., 2017; Lu et al., 2020; Sridhar et al., 2020). ScRNA-seq coupled with pseudotime analysis of human retinal organoids or fetal retina have identified developmental trajectories from RPCs to each major cell type, including RGCs. This showed conservation of key regulators of RGC differentiation, as well as human-specific expression of MYC (Lu et al., 2020). It is striking that the conservation of developmental molecular programs between species is high. It will be interesting to characterize which information might be essential for the functionality of specific cell types in human retina.
Figure 1. Regenerative approaches for retinal ganglion cell (RGC) replacement. During retinal development RGCs are generated from embryonic progenitors through a network of transcription factors. The critical factors are included above each developmental step at the top of the figure. Recently we showed that a RGC program may be reactivated in late RPCs upon Klf4 overexpression (Rocha-Martins et al., 2019) to generate induced RGCs (green). Current RGC regenerative approaches apply strategies to induce or reactivate the embryonic molecular program on exogenous (induced pluripotent or embryonic stem cells) or endogenous (Müller glia) sources (left). Transplanted (yellow) or induced RGCs (purple) must meet essential properties (frame), as they integrate in the retina, such as the host RGCs (pink). RPCs, retinal progenitor cells; ONL, outer nuclear layer; INL, inner nuclear layer; GCL, ganglion cell layer. Figure created with BioRender.com.
Molecular Program for RGC Generation
Temporal Patterning of Retinal Progenitors
Across vertebrate species, the temporal sequence of cell genesis for the seven major classes of retinal cell types is evolutionarily conserved, with RGCs as the first cell type generated (Young, 1985; Turner et al., 1990; Cepko et al., 1996; Rapaport et al., 2004). Retinal cells are generated in sequential but overlapping waves from multipotent retinal progenitor cells (RPCs) that change their capacity to generate specific cell types, according to the “competence model” (Cepko et al., 1996). However, the mechanisms underlying this temporal control are not well understood.
There is evidence for intrinsic changes in competence states of RPCs over time (Cepko, 2014). For example, aggregates of RPCs cultured in vitro recapitulate the composition of clones in vivo (Gomes et al., 2011), and RPCs maintain their potency when transplanted to an earlier or older environment (Watanabe and Raff, 1990; Belliveau and Cepko, 1999; Belliveau et al., 2000). A temporal patterning of early and late RPC populations has been distinguished by single cell analysis of developing mouse retina (Clark et al., 2019), and the developing human retina (Lu et al., 2020). Some authors have proposed that the fate of RPCs could be partially stochastic (Gomes et al., 2011; He et al., 2012). Also, extrinsic signals can influence the timing and competence of cell type generation, including RGCs (reviewed by Mills and Goldman, 2017). For example, there is a gradient of increasing Notch pathway gene expression in progenitors as development progresses (Clark et al., 2019). Feedback mechanisms, such as Shh and GDF11 for RGCs, can also limit the number of a given cell type produced (Kim et al., 2005; Wang et al., 2005).
One of the first studies to propose molecular mechanisms for the temporal control of cell identity acquisition described the roles of specific transcription factors in Drosophila, with hunchback (Hb) regulating the transition from early to late progenitors (Isshiki et al., 2001). Its mouse ortholog, Ikaros (Ikzf1) has the same role in early RPCs, and its loss of function leads to fewer early-born cell types such as RGCs, but does not affect late-born cell types (Elliott et al., 2008). Casz1, another ortholog of fly transcription factor- castor-, regulates the fate of mid/late born cell types and suppresses the generation of early-born cell types, as shown by conditional deletion (Mattar et al., 2015). Furthermore, Casz1 is repressed by Ikaros (Ikzf1), as shown in Drosophila for castor and hunchback (Mattar et al., 2015). The potential roles of other elements of this network, like fly Krüppel and Pdm, remain unknown. Recently, Klf4, a member of the family of Krüppel-like factors was studied in the mouse retina, but no critical function in cell fate determination was described (Moore et al., 2009; Fang et al., 2016; Rocha-Martins et al., 2019). This may be due to redundancy with other Klf family members (Jiang et al., 2008), since many are expressed in the developing retina (Moore et al., 2009; Njaine et al., 2014). We recently showed that overexpression of Klf4 in late retinal progenitors generates induced RGCs outside of their developmental window (Figure 1; Rocha-Martins et al., 2019). This study showed that Klf4 induced the reactivation of the early neurogenic program in late progenitors, changing their competence to generate RGCs that properly localized to the inner retina and projected axons into the optic nerve head (Rocha-Martins et al., 2019). The precise mechanism underlying the effect of Klf4 in late progenitors is still unknown, but we hypothesize that Klf4 reactivates the molecular program for RGC differentiation through its properties as a pioneer factor, combined with the direct or indirect induction of Atoh7 (Chronis et al., 2017; Rocha-Martins et al., 2019). Although these results are promising, the detailed characterization of the transcriptional signature, subtype, and function of these induced RGCs, as well as their capacity to connect within the retina and with their brain targets remains to be defined. It will be intriguing to determine whether Klf4 could also be used to promote or enhance the reprogramming of postmitotic retinal cells to generate induced RGCs for regeneration.
miRNA and Epigenetic Regulation of Progenitor Competence
miRNAs also play a role in the control of the transition of competence from early to late progenitors (Decembrini et al., 2009; Georgi and Reh, 2010; Davis et al., 2011). Retinal-specific deletion of Dicer results in prolonged production of RGCs beyond the normal competence window and failure to produce later-born cell types (Georgi and Reh, 2010). Three miRNAs, let-7, miR-125, and miR-9 are critical regulators of this early to late competence transition, and their overexpression can rescue the progression to late progenitors in Dicer-cKO (conditional knockout) (La Torre et al., 2013). Lin28 and Prtg are targets of these miRNAs and can maintain the early progenitor state when overexpressed, however overexpression in late progenitors was not sufficient for them to reacquire the early progenitor state since only very rare Brn3+ cells were observed in the neuroblastic layer (La Torre et al., 2013).
Besides transcription factor networks, the control of chromatin landscapes is relevant for the establishment of the competence transitions throughout retinal development (Aldiri et al., 2017; Zibetti et al., 2019). For example, in both human and mouse retina changes in histone modifications, particularly repressive H3k27me3, are associated with developmental transitions in the expression of differentiation programs for specific cell types (Aldiri et al., 2017). In addition, conditional disruption of the repressive histone H3K27 trimethylase Ezh2 in RPCs results in accelerated onset of differentiation for late-born retinal cell types (Iida et al., 2015; Zhang et al., 2015). How regulation of chromatin contributes to differentiation of early cell types, including RGCs, remains to be elucidated.
Transcriptional Regulation of RGC Development
Early in retinal development, transcription factors such as Sox2, Pax6, and Vsx2/Chx10 regulate the proliferation of multipotent retinal progenitors as well as the expression of critical competence factors. While Pax6 induces Atoh7/Math5 expression in early development (Riesenberg et al., 2009), Vsx2 represses the expression of this transcription factor (Burmeister et al., 1996; Marquardt et al., 2001; Vitorino et al., 2009). The disruption of this repression is critical as Atoh7 is necessary to confer competence to RPCs to generate RGCs. Although Atoh7 is not sufficient for RGC differentiation and is expressed in progenitors that generate a range of cell types (Brown et al., 2001; Lu et al., 2020), its absence leads to the loss of about 80% of RGCs in mice (Brown et al., 2001; Wang et al., 2001) and of almost all RGCs in zebrafish (Kay et al., 2001). Interestingly, Atoh7 expression is transitory (Kanekar et al., 1997; Brown et al., 1998; Kay et al., 2001; Liu et al., 2001) and is regulated by itself as well as many transcription factors, such as Pitf1a, Ngn2, and Neurod4/NeuroM/Atoh3 (Fujitani et al., 2006; Hernandez et al., 2007). At least one of these factors, Pitf1a, is directly regulated by Foxn4 (Fujitani et al., 2006), which was recently shown to control RPC temporal identities and to suppress the RGC fate (Liu et al., 2020).
Downstream of Atoh7 a plethora of transcription factors are essential for the generation, survival, and maturation of RGCs. Atoh7 directly regulates Pou4f2/Brn3b expression and acts upstream of the other POU domain factors, Pou4f1/Brn3a and Pou4f3/Brn3c (Liu et al., 2001; Pan et al., 2005). These transcription factors are essential for terminal differentiation, survival and axonogenesis in RGCs, but not for initial fate specification (Wang et al., 2002; Pan et al., 2005; Badea et al., 2009). In addition, Pou4f2 represses genes responsible for the differentiation program of other cell types (Qiu et al., 2008). Atoh7 also regulates expression of Isl1, which acts in parallel but also in coincident subpopulations of RGCs with Pou4f2 (Mu et al., 2008; Pan et al., 2008). These two factors work together to specify and differentiate the RGCs (Pan et al., 2008; Li et al., 2014; Wu et al., 2015). Analysis of Atoh7-expressing retinal progenitors revealed EYA2 as a protein phosphatase upstream of Pou4f2 and involved in RGC specification (Gao et al., 2014).
The distal-less homeobox family of transcription factors, namely Dlx1 and Dlx2, are also relevant for both RGC survival and terminal differentiation (de Melo et al., 2003; Zhang et al., 2017). Their expression is regulated by Atoh7 and they are direct regulators of Pou4f2 expression, although they can also act in parallel with this transcription factor, as suggested by the study of triple knockout mice (Zhang et al., 2017). SoxC transcription factors are also important for RGC specification, with known roles for Sox11 and Sox4. Sox11 is expressed in early progenitors (Usui et al., 2013) and its loss delays RGC neurogenesis, although Sox4 may compensate for Sox11 since just a small reduction in RGC number was detected in late development (Jiang et al., 2013). The combined depletion or overexpression of Sox11 and Sox4 has shown that these transcription factors are not only necessary but sufficient for RGC differentiation, with their loss resulting in complete absence of the optic nerve (Chang et al., 2017). In addition, Sox4-dependent posttranslational modification of Sox11 regulates its nuclear localization and activity. SoxC factors act upstream of Pou4f/Brn3 factors, although it is not known if they regulate them directly (Chang et al., 2017). Thus, a complex network of genes ultimately regulates the genesis and differentiation of RGCs from RPCs.
Knowledge From Retinal Development as Tools for RGC Regeneration
Retinal Ganglion Cell Loss in Disease
Being the sole output neurons of the retina and incapable of axon regeneration, RGC loss due to injury or disease results in permanent vision reduction and blindness. Several conditions impact RGC function and viability, including traumatic optic injury, ischemic injury, demyelinating and hereditary optic neuropathies, and diabetic retinopathy (Newman, 2012; Biousse and Newman, 2015; Altmann and Schmidt, 2018). Additionally, RGCs are the primary target of glaucoma, a group of neurodegenerative diseases characterized by progressive optic nerve axon damage and RGC death (Quigley, 2011; Calkins, 2012). Current treatments effectively control concomitant ocular hypertension, but not the progression of RGC neurodegeneration (Calkins, 2012; Fry et al., 2018). At present, there is no restorative treatment for reduced or lost vision due to loss of RGCs. This reinforces the relevance of investigating new therapeutic approaches.
Regeneration From Endogenous Sources: Müller Glia
There are some lines of investigation aimed at developing innovative regenerative strategies based on RGC replacement. One of them invests in the transplantation of cells differentiated in vitro from stem cells (reviewed in Miltner and La Torre, 2019 and not covered here). The other aims to generate these cells from endogenous sources, redeploying the regenerative capacity present in teleost, but lost in mammals (Goldman, 2014). In both scenarios, researchers apply knowledge of fundamental processes for RGC development to design tools to open or expand a window for the generation of new or induced RGCs capable of surviving and making correct synaptic connections to restore visual function.
When considering new approaches to generate induced RGCs in vitro or in situ, a promising candidate is Müller glia, a well-defined endogenous source for retina regeneration (Goldman, 2014; Vetter and Hitchcock, 2017; Lahne et al., 2020). Müller glia are generated in the second wave of retinogenesis (Cepko et al., 1996) and are transcriptionally similar to late retinal progenitors (Blackshaw et al., 2004; Ooto et al., 2004; Jadhav et al., 2009; Nelson et al., 2011). In teleost fish Müller glia respond to injury, dedifferentiate to a progenitor-like profile, proliferate, generate all cell types and restore vision (Goldman, 2014). However, this regenerative potential has been lost (or actively suppressed) during evolution, and mammalian Müller glia possess reduced proliferative or neurogenic potential (Dyer and Cepko, 2000; Karl et al., 2008; Hamon et al., 2019; Rueda et al., 2019). Müller glia in chick have intermediate regenerative potential and retain the ability to dedifferentiate and adopt a proliferative progenitor-like state during a narrow window after hatching (Fischer and Reh, 2001). Thus, recent efforts are focused on comparative approaches to define injury-induced changes in Müller glia that may account for differences in reprogramming potential across species (Lahne et al., 2020).
In zebrafish retina, many signaling pathways are important for generation of Müller glia-derived progenitors, proliferation, and neurogenic potential, either in damage or disease contexts. For example, Wnt/ß-catenin is upregulated in response to damage and is critical to stimulate Müller glia proliferation (Ramachandran et al., 2011; Meyers et al., 2012; Yao et al., 2016). Notch and Fgf8a-to-Notch signaling are important regulators of Müller glia proliferation in zebrafish, and different outcomes distinguishes multiple populations of Müller glia (Wan and Goldman, 2017). EGF is secreted by Müller glia upon damage and induces its proliferation even when damage is absent (Wan et al., 2012). Interestingly, it was recently suggested that Hippo/YAP signaling may actively repress the proliferation of Müller glia in mice, and overexpression of a YAP form insensitive to phosphorylation is sufficient to induce Müller cell reprogramming into a highly proliferative cell (Hamon et al., 2019; Rueda et al., 2019). Moreover, activation of TGFß by metalloproteinases can influence Müller glia reprogramming and retina regeneration in zebrafish through multiple targets (Sharma et al., 2020). How all these signaling pathways are integrated is still under debate (Wan and Goldman, 2016; Lahne et al., 2020).
The search for ways to unlock this regenerative potential in mammals has increasingly attracted interest (Karl et al., 2008; Loffler et al., 2015; Ueki et al., 2015; Jorstad et al., 2017; Guimaraes et al., 2018; Yao et al., 2018). Pollak et al. (2013) demonstrated that the overexpression of Ascl1 in Müller glia cultures and mouse retinal explants change gene expression with downregulation of glial genes and upregulation of progenitor genes. Moreover, they demonstrated in vivo the generation of cells with neuronal properties of amacrine, bipolar or photoreceptor cells. The use of an HDAC inhibitor to interfere with chromatin accessibility was effective also in mature retinas (Pollak et al., 2013; Ueki et al., 2015; Jorstad et al., 2017). Recently, the combination of Ascl1 overexpression with the use of a STAT inhibitor in addition to the HDAC inhibitor, showed increased efficiency in generating bipolar neurons (Jorstad et al., 2020). This is promising, because confirms that it is possible to reactivate a program for neuronal generation in mammalian Müller glia. It is likely that regenerative approaches will have to be designed for specific cell types and disease contexts, particularly for regeneration of RGCs.
Directed Strategies for Inducing Retinal Ganglion Cells
Strategies to reprogram existing cells to generate RGCs have been limited in mammalian retina, highlighting the need for innovative approaches. A preprint from Xiao et al. (2019) have described the generation of induced RGCs from Müller glia in mice through the overexpression of Atoh7 and Pou4f2/Brn3b. These cells projected axons to superior targets in the brain and restored the vision in a disease model. In addition to Müller glia, an alternative endogenous source for the generation of induced RGCs could be another retinal neuron (Vetter and Hitchcock, 2017). Interestingly, Chen et al. (2015) proposed that a subpopulation of amacrine cells had regenerative potential.
Since the epigenetic landscape is important not only for proper tissue development, but also for cell reprogramming, strategies that target chromatin remodeling could also prove fruitful for promoting RGC generation. During Müller glial cell reprogramming in zebrafish changes in DNA methylation as well as histone modification are tightly regulated to promote both activation and repression of gene expression, although the role of epigenetic changes in regulating this process remains to be more fully defined (Lahne et al., 2020). Notably, the transcriptional repressor REST broadly represses neuronal gene expression in non-neuronal cells and in progenitors via recruitment of histone deacetylases (Lunyak et al., 2004). Many Atoh7-dependent genes, including Pou4f2, have REST-dependent repressor element 1 (RE1) sites (Mu et al., 2005). Release of REST-mediated repression plays an important role in activating RGC genes in RPCs, and in retinas with conditional deletion of REST the numbers of RGCs increased significantly (Mao et al., 2011). Thus, it is possible that relieving epigenetic constraints on RGC gene expression may enhance the generation of RGCs outside the normal developmental window. Consistent with this, it was recently shown that CRISPR-CasRx-mediated down regulation of the RNA-binding protein, Ptbp1, converts Müller glia to RGCs in mature retina in vivo, with projection of axons to brain and restoration of visual responses (Zhou et al., 2020). Reduced expression of Ptbp1 was previously shown to convert fibroblasts to neurons in vitro through regulation of a miRNA targeting of multiple components of REST (Xue et al., 2013).
Conclusion and Future Directions
Much effort has been invested into neuroprotective approaches and the control of risk factors that contribute to the degeneration of RGCs, such as intraocular pressure (IOP) in glaucoma. However, to restore vision it is essential to unravel innovative therapeutic strategies to replace damaged or lost RGCs and their connection to the appropriate superior targets. Here we discussed the principles of RGC generation throughout retinal development and considered new paths for regeneration based on the reactivation of developmental programs in combination to other strategies, such as interference with chromatin accessibility. The final goal would be to identify effective tools to extend or reopen the temporal window for RGC generation and apply it to replacement approaches (Figure 1). Potential candidates to apply such approaches would be Müller glia or other retinal neurons as endogenous sources for RGC regeneration. Approaches could be potentially enhanced by modulation of signaling pathways that have already been shown to control the proliferation and neurogenic potential of Müller glia, such as Notch, JAK/STAT, HIPPO/YAP, EGF, WNT, and TGFß (Wan et al., 2012; Ueki and Reh, 2013; Yao et al., 2016; Hamon et al., 2019; Rueda et al., 2019; Sharma et al., 2020). The combined use of signaling modulators with neurogenic and/or RGC-specific transcription factors together with epigenetic remodeling may offer the optimal recipe.
Based on previous studies designed to regenerate optic pathways it is also clear that there are relevant aspects during optic nerve regeneration that apply to axon growth of transplanted or regenerated RGCs in regenerative strategies, such as: enhancing the intrinsic axon growth capacity of RGCs, overcoming the potential growth-inhibitory environment of the optic nerve in disease, and optimizing the signals responsible for reinnervation of the relevant targets. Recently it was shown that transplanted RGCs are able to integrate into the adult mouse retina and project axons to the superior colliculus and lateral geniculate nucleus (Venugopalan et al., 2016). In addition, these cells were responsive to light, with electrophysiological properties similar to endogenous RGCs (Venugopalan et al., 2016). This is a strong demonstration that the mature mammalian retina is not refractory to RGC integration. An important follow up is to investigate RGC integration and visual function recovery in disease context.
On the other hand, for the design of any regenerative approach, relevant technical challenges must be overcome, which include adequate lineage tracing strategies to guarantee the origin of the new neurons, either transplanted or endogenously generated, as well as the verification of a possible interference of direct protein transfer between donor and host cells in data interpretation, as recently debated (Pearson et al., 2016; Decembrini et al., 2017; Boudreau-Pinsonneault and Cayouette, 2018; Nickerson et al., 2018).
In the end, it is essential to define what specific properties replaced or regenerated RGCs must possess to effectively function as retinal projection neurons. We propose here that these essential properties are: transcriptional identity, integration and synaptic connectivity in the retina, response to light, and axon projection and targeting to proper brain areas (Figure 1).
Finally, the relevance of these studies for RGC replacement in humans is yet to be determined, and preclinical testing of promising strategies to revert vision loss will require the definition of the minimal number of regenerated or transplanted RGCs necessary to obtain useful visual recovery, and of how the long-term survival of integrated RGCs will be attained. Preclinical studies in non-human primate will likely be an important intermediate step to ensure success of any regenerative strategy. Despite the many barriers that remain, the rapid advances in our understanding of RGC development paves a path toward the ultimate goal of applying that knowledge to promote RGC replacement and vision restoration.
Author Contributions
AB, VO-V, MV, and MS wrote and edited the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (until March 2018 475796/2012-8 to MS; until March 2020 fellowship to VO-V), by Fundac̨ão de Amparo à Pesquisa do Estado do Rio de Janeiro (fellowship to VO-V since May 2020 and participation of MS on the grants E-26/010.003021/2014 and FAPERJ N 11/2018), by National Institutes of Health EY012274 (MV) and the Bright Focus Foundation (AB).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
VO-V and MS would like to thank Dr. Rafael Linden for scientific inspiration and support.
References
Aldiri, I., Xu, B., Wang, L., Chen, X., Hiler, D., Griffiths, L., et al. (2017). The dynamic epigenetic landscape of the retina during development, reprogramming, and tumorigenesis. Neuron 94, 550.e10–568.e10. doi: 10.1016/j.neuron.2017.04.022
Altmann, C., and Schmidt, M. H. H. (2018). The role of microglia in diabetic retinopathy: inflammation, microvasculature defects and neurodegeneration. Int. J. Mol. Sci. 19:110. doi: 10.3390/ijms19010110
Badea, T. C., Cahill, H., Ecker, J., Hattar, S., and Nathans, J. (2009). Distinct roles of transcription factors brn3a and brn3b in controlling the development, morphology, and function of retinal ganglion cells. Neuron 61, 852–864. doi: 10.1016/j.neuron.2009.01.020
Belliveau, M. J., and Cepko, C. L. (1999). Extrinsic and intrinsic factors control the genesis of amacrine and cone cells in the rat retina. Development 126, 555–566.
Belliveau, M. J., Young, T. L., and Cepko, C. L. (2000). Late retinal progenitor cells show intrinsic limitations in the production of cell types and the kinetics of opsin synthesis. J. Neurosci. 20, 2247–2254. doi: 10.1523/jneurosci.20-06-02247.2000
Biousse, V., and Newman, N. J. (2015). Ischemic optic neuropathies. N. Engl. J. Med. 372, 2428–2436. doi: 10.1056/NEJMra1413352
Blackshaw, S., Harpavat, S., Trimarchi, J., Cai, L., Huang, H., Kuo, W. P., et al. (2004). Genomic analysis of mouse retinal development. PLoS Biol. 2:e247. doi: 10.1371/journal.pbio.0020247
Boije, H., MacDonald, R. B., and Harris, W. A. (2014). Reconciling competence and transcriptional hierarchies with stochasticity in retinal lineages. Curr. Opin. Neurobiol. 27, 68–74. doi: 10.1016/j.conb.2014.02.014
Boudreau-Pinsonneault, C., and Cayouette, M. (2018). Cell lineage tracing in the retina: could material transfer distort conclusions? Dev. Dyn. 247, 10–17. doi: 10.1002/dvdy.24535
Brown, N. L., Kanekar, S., Vetter, M. L., Tucker, P. K., Gemza, D. L., and Glaser, T. (1998). Math5 encodes a murine basic helix-loop-helix transcription factor expressed during early stages of retinal neurogenesis. Development 125, 4821–4833.
Brown, N. L., Patel, S., Brzezinski, J., and Glaser, T. (2001). Math5 is required for retinal ganglion cell and optic nerve formation. Development 128, 2497–2508.
Burmeister, M., Novak, J., Liang, M. Y., Basu, S., Ploder, L., Hawes, N. L., et al. (1996). Ocular retardation mouse caused by Chx10 homeobox null allele: impaired retinal progenitor proliferation and bipolar cell differentiation. Nat. Genet. 12, 376–384. doi: 10.1038/ng0496-376
Calkins, D. J. (2012). Critical pathogenic events underlying progression of neurodegeneration in glaucoma. Prog. Retin. Eye Res. 31, 702–719. doi: 10.1016/j.preteyeres.2012.07.001
Cepko, C. (2014). Intrinsically different retinal progenitor cells produce specific types of progeny. Nat. Rev. Neurosci. 15, 615–627. doi: 10.1038/nrn3767
Cepko, C. L., Austin, C. P., Yang, X., Alexiades, M., and Ezzeddine, D. (1996). Cell fate determination in the vertebrate retina. Proc. Natl. Acad. Sci. U.S.A. 93, 589–595. doi: 10.1073/pnas.93.2.589
Chang, K. C., Hertz, J., Zhang, X., Jin, X. L., Shaw, P., Derosa, B. A., et al. (2017). Novel regulatory mechanisms for the SoxC transcriptional network required for visual pathway development. J. Neurosci. 37, 4967–4981. doi: 10.1523/JNEUROSCI.3430-13.2017
Chen, M., Tian, S., Glasgow, N. G., Gibson, G., Yang, X., Shiber, C. E., et al. (2015). Lgr5(+) amacrine cells possess regenerative potential in the retina of adult mice. Aging Cell 14, 635–643. doi: 10.1111/acel.12346
Chronis, C., Fiziev, P., Papp, B., Butz, S., Bonora, G., Sabri, S., et al. (2017). Cooperative binding of transcription factors orchestrates reprogramming. Cell 168, 442.e20–459.e20. doi: 10.1016/j.cell.2016.12.016
Clark, B. S., Stein-O’Brien, G. L., Shiau, F., Cannon, G. H., Davis-Marcisak, E., Sherman, T., et al. (2019). Single-Cell RNA-Seq analysis of retinal development identifies NFI factors as regulating mitotic exit and late-born cell specification. Neuron 102, 1111.e5–1126.e5. doi: 10.1016/j.neuron.2019.04.010
Coombs, J., van der List, D., Wang, G. Y., and Chalupa, L. M. (2006). Morphological properties of mouse retinal ganglion cells. Neuroscience 140, 123–136. doi: 10.1016/j.neuroscience.2006.02.079
Davis, N., Mor, E., and Ashery-Padan, R. (2011). Roles for Dicer1 in the patterning and differentiation of the optic cup neuroepithelium. Development 138, 127–138. doi: 10.1242/dev.053637
de Melo, J., Qiu, X., Du, G., Cristante, L., and Eisenstat, D. D. (2003). Dlx1, Dlx2, Pax6, Brn3b, and Chx10 homeobox gene expression defines the retinal ganglion and inner nuclear layers of the developing and adult mouse retina. J. Comp. Neurol. 461, 187–204. doi: 10.1002/cne.10674
Decembrini, S., Bressan, D., Vignali, R., Pitto, L., Mariotti, S., Rainaldi, G., et al. (2009). MicroRNAs couple cell fate and developmental timing in retina. Proc. Natl. Acad. Sci. U.S.A. 106, 21179–21184. doi: 10.1073/pnas.0909167106
Decembrini, S., Martin, C., Sennlaub, F., Chemtob, S., Biel, M., Samardzija, M., et al. (2017). Cone genesis tracing by the Chrnb4-EGFP mouse line: evidences of cellular material fusion after cone precursor transplantation. Mol. Ther. 25, 634–653. doi: 10.1016/j.ymthe.2016.12.015
Drager, U. C. (1985). Birth dates of retinal ganglion cells giving rise to the crossed and uncrossed optic projections in the mouse. Proc. R. Soc. Lond. B Biol. Sci. 224, 57–77. doi: 10.1098/rspb.1985.0021
Dyer, M. A., and Cepko, C. L. (2000). Control of Müller glial cell proliferation and activation following retinal injury. Nat. Neurosci. 3, 873–880. doi: 10.1038/78774
Elliott, J., Jolicoeur, C., Ramamurthy, V., and Cayouette, M. (2008). Ikaros confers early temporal competence to mouse retinal progenitor cells. Neuron 60, 26–39. doi: 10.1016/j.neuron.2008.08.008
Fang, J., Shaw, P. X., Wang, Y., and Goldberg, J. L. (2016). Kruppel-Like Factor 4 (KLF4) is not required for retinal cell differentiation. eNeuro 3:ENEURO.0117-15.2016. doi: 10.1523/ENEURO.0117-15.2016
Fischer, A. J., and Reh, T. A. (2001). Muller glia are a potential source of neural regeneration in the postnatal chicken retina. Nat. Neurosci. 4, 247–252. doi: 10.1038/85090
Fligor, C. M., Langer, K. B., Sridhar, A., Ren, Y., Shields, P. K., Edler, M. C., et al. (2018). Three-dimensional retinal organoids facilitate the investigation of retinal ganglion cell development, organization and neurite outgrowth from human pluripotent stem cells. Sci. Rep. 8:14520. doi: 10.1038/s41598-018-32871-8
Fry, L. E., Fahy, E., Chrysostomou, V., Hui, F., Tang, J., van Wijngaarden, P., et al. (2018). The coma in glaucoma: retinal ganglion cell dysfunction and recovery. Prog. Retin. Eye Res. 65, 77–92. doi: 10.1016/j.preteyeres.2018.04.001
Fujitani, Y., Fujitani, S., Luo, H., Qiu, F., Burlison, J., Long, Q., et al. (2006). Ptf1a determines horizontal and amacrine cell fates during mouse retinal development. Development 133, 4439–4450. doi: 10.1242/dev.02598
Gao, Z., Mao, C. A., Pan, P., Mu, X., and Klein, W. H. (2014). Transcriptome of Atoh7 retinal progenitor cells identifies new Atoh7-dependent regulatory genes for retinal ganglion cell formation. Dev. Neurobiol. 74, 1123–1140. doi: 10.1002/dneu.22188
Georgi, S. A., and Reh, T. A. (2010). Dicer is required for the transition from early to late progenitor state in the developing mouse retina. J. Neurosci. 30, 4048–4061. doi: 10.1523/JNEUROSCI.4982-09.2010
Goldman, D. (2014). Muller glial cell reprogramming and retina regeneration. Nat. Rev. Neurosci. 15, 431–442. doi: 10.1038/nrn3723
Gomes, F. L., Zhang, G., Carbonell, F., Correa, J. A., Harris, W. A., Simons, B. D., et al. (2011). Reconstruction of rat retinal progenitor cell lineages in vitro reveals a surprising degree of stochasticity in cell fate decisions. Development 138, 227–235. doi: 10.1242/dev.059683
Guimaraes, R. P. M., Landeira, B. S., Coelho, D. M., Golbert, D. C. F., Silveira, M. S., Linden, R., et al. (2018). Evidence of muller glia conversion into retina ganglion cells using neurogenin2. Front. Cell. Neurosci. 12:410. doi: 10.3389/fncel.2018.00410
Hamon, A., Garcia-Garcia, D., Ail, D., Bitard, J., Chesneau, A., Dalkara, D., et al. (2019). Linking YAP to muller glia quiescence exit in the degenerative retina. Cell Rep 27, 1712.e6–1725.e6. doi: 10.1016/j.celrep.2019.04.045
He, J., Zhang, G., Almeida, A. D., Cayouette, M., Simons, B. D., and Harris, W. A. (2012). How variable clones build an invariant retina. Neuron 75, 786–798. doi: 10.1016/j.neuron.2012.06.033
Hernandez, J., Matter-Sadzinski, L., Skowronska-Krawczyk, D., Chiodini, F., Alliod, C., Ballivet, M., et al. (2007). Highly conserved sequences mediate the dynamic interplay of basic helix-loop-helix proteins regulating retinogenesis. J. Biol. Chem. 282, 37894–37905. doi: 10.1074/jbc.M703616200
Holt, C. E., Bertsch, T. W., Ellis, H. M., and Harris, W. A. (1988). Cellular determination in the Xenopus retina is independent of lineage and birth date. Neuron 1, 15–26. doi: 10.1016/0896-6273(88)90205-x
Hoshino, A., Ratnapriya, R., Brooks, M. J., Chaitankar, V., Wilken, M. S., Zhang, C., et al. (2017). Molecular anatomy of the developing human retina. Dev. Cell 43, 763.e4–779.e4. doi: 10.1016/j.devcel.2017.10.029
Hu, M., and Easter, S. S. (1999). Retinal neurogenesis: the formation of the initial central patch of postmitotic cells. Dev. Biol. 207, 309–321. doi: 10.1006/dbio.1998.9031
Iida, A., Iwagawa, T., Baba, Y., Satoh, S., Mochizuki, Y., Nakauchi, H., et al. (2015). Roles of histone H3K27 trimethylase Ezh2 in retinal proliferation and differentiation. Dev. Neurobiol. 75, 947–960. doi: 10.1002/dneu.22261
Isshiki, T., Pearson, B., Holbrook, S., and Doe, C. Q. (2001). Drosophila neuroblasts sequentially express transcription factors which specify the temporal identity of their neuronal progeny. Cell 106, 511–521. doi: 10.1016/s0092-8674(01)00465-2
Jadhav, A. P., Roesch, K., and Cepko, C. L. (2009). Development and neurogenic potential of Muller glial cells in the vertebrate retina. Prog. Retin. Eye Res. 28, 249–262. doi: 10.1016/j.preteyeres.2009.05.002
Jiang, J., Chan, Y. S., Loh, Y. H., Cai, J., Tong, G. Q., Lim, C. A., et al. (2008). A core Klf circuitry regulates self-renewal of embryonic stem cells. Nat. Cell Biol. 10, 353–360. doi: 10.1038/ncb1698
Jiang, Y., Ding, Q., Xie, X., Libby, R. T., Lefebvre, V., and Gan, L. (2013). Transcription factors SOX4 and SOX11 function redundantly to regulate the development of mouse retinal ganglion cells. J. Biol. Chem. 288, 18429–18438. doi: 10.1074/jbc.M113.478503
Jorstad, N. L., Wilken, M. S., Grimes, W. N., Wohl, S. G., VandenBosch, L. S., Yoshimatsu, T., et al. (2017). Stimulation of functional neuronal regeneration from Muller glia in adult mice. Nature 548, 103–107. doi: 10.1038/nature23283
Jorstad, N. L., Wilken, M. S., Todd, L., Finkbeiner, C., Nakamura, P., Radulovich, N., et al. (2020). STAT signaling modifies Ascl1 chromatin binding and limits neural regeneration from muller glia in adult mouse retina. Cell Rep. 30, 2195.e5–2208.e5. doi: 10.1016/j.celrep.2020.01.075
Kanekar, S., Perron, M., Dorsky, R., Harris, W. A., Jan, L. Y., Jan, Y. N., et al. (1997). Xath5 participates in a network of bHLH genes in the developing Xenopus retina. Neuron 19, 981–994. doi: 10.1016/s0896-6273(00)80391-8
Karl, M. O., Hayes, S., Nelson, B. R., Tan, K., Buckingham, B., and Reh, T. A. (2008). Stimulation of neural regeneration in the mouse retina. Proc. Natl. Acad. Sci. U.S.A. 105, 19508–19513. doi: 10.1073/pnas.0807453105
Kay, J. N., Finger-Baier, K. C., Roeser, T., Staub, W., and Baier, H. (2001). Retinal ganglion cell genesis requires lakritz, a Zebrafish atonal Homolog. Neuron 30, 725–736. doi: 10.1016/s0896-6273(01)00312-9
Kim, J., Wu, H. H., Lander, A. D., Lyons, K. M., Matzuk, M. M., and Calof, A. L. (2005). GDF11 controls the timing of progenitor cell competence in developing retina. Science 308, 1927–1930. doi: 10.1126/science.1110175
Kong, J. H., Fish, D. R., Rockhill, R. L., and Masland, R. H. (2005). Diversity of ganglion cells in the mouse retina: unsupervised morphological classification and its limits. J. Comp. Neurol. 489, 293–310. doi: 10.1002/cne.20631
La Torre, A., Georgi, S., and Reh, T. A. (2013). Conserved microRNA pathway regulates developmental timing of retinal neurogenesis. Proc. Natl. Acad. Sci. U.S.A. 110, E2362–E2370. doi: 10.1073/pnas.1301837110
Laboissonniere, L. A., Goetz, J. J., Martin, G. M., Bi, R., Lund, T. J. S., Ellson, L., et al. (2019). Molecular signatures of retinal ganglion cells revealed through single cell profiling. Sci. Rep. 9:15778. doi: 10.1038/s41598-019-52215-4
Lahne, M., Nagashima, M., Hyde, D. R., and Hitchcock, P. F. (2020). Reprogramming muller glia to regenerate retinal neurons. Annu. Rev. Vis. Sci. [Epub ahead of print] doi: 10.1146/annurev-vision-121219-081808
Li, R., Wu, F., Ruonala, R., Sapkota, D., Hu, Z., and Mu, X. (2014). Isl1 and Pou4f2 form a complex to regulate target genes in developing retinal ganglion cells. PLoS One 9:e92105. doi: 10.1371/journal.pone.0092105
Liu, S., Liu, X., Li, S., Huang, X., Qian, H., Jin, K., et al. (2020). Foxn4 is a temporal identity factor conferring mid/late-early retinal competence and involved in retinal synaptogenesis. Proc. Natl. Acad. Sci. U.S.A. 117, 5016–5027. doi: 10.1073/pnas.1918628117
Liu, W., Mo, Z., and Xiang, M. (2001). The Ath5 proneural genes function upstream of Brn3 POU domain transcription factor genes to promote retinal ganglion cell development. Proc. Natl. Acad. Sci. U.S.A. 98, 1649–1654. doi: 10.1073/pnas.98.4.1649
Loffler, K., Schafer, P., Volkner, M., Holdt, T., and Karl, M. O. (2015). Age-dependent Muller glia neurogenic competence in the mouse retina. Glia 63, 1809–1824. doi: 10.1002/glia.22846
Lu, Y., Shiau, F., Yi, W., Lu, S., Wu, Q., Pearson, J. D., et al. (2020). Single-cell analysis of human retina identifies evolutionarily conserved and species-specific mechanisms controlling development. Dev. Cell 53, 473.e9–491.e9. doi: 10.1016/j.devcel.2020.04.009
Lunyak, V. V., Prefontaine, G. G., and Rosenfeld, M. G. (2004). REST and peace for the neuronal-specific transcriptional program. Ann. N. Y. Acad. Sci. 1014, 110–120. doi: 10.1196/annals.1294.011
Mao, C. A., Tsai, W. W., Cho, J. H., Pan, P., Barton, M. C., and Klein, W. H. (2011). Neuronal transcriptional repressor REST suppresses an Atoh7-independent program for initiating retinal ganglion cell development. Dev. Biol. 349, 90–99. doi: 10.1016/j.ydbio.2010.10.008
Marquardt, T., Ashery-Padan, R., Andrejewski, N., Scardigli, R., Guillemot, F., and Gruss, P. (2001). Pax6 is required for the multipotent state of retinal progenitor cells. Cell 105, 43–55. doi: 10.1016/s0092-8674(01)00295-1
Mattar, P., Ericson, J., Blackshaw, S., and Cayouette, M. (2015). A conserved regulatory logic controls temporal identity in mouse neural progenitors. Neuron 85, 497–504. doi: 10.1016/j.neuron.2014.12.052
Mellough, C. B., Bauer, R., Collin, J., Dorgau, B., Zerti, D., Dolan, D. W. P., et al. (2019). An integrated transcriptional analysis of the developing human retina. Development 146:dev169474. doi: 10.1242/dev.169474
Meyers, J. R., Hu, L., Moses, A., Kaboli, K., Papandrea, A., and Raymond, P. A. (2012). beta-catenin/Wnt signaling controls progenitor fate in the developing and regenerating zebrafish retina. Neural Dev. 7:30. doi: 10.1186/1749-8104-7-30
Mills, E. A., and Goldman, D. (2017). The regulation of notch signaling in retinal development and regeneration. Curr. Pathobiol. Rep. 5, 323–331. doi: 10.1007/s40139-017-0153-7
Miltner, A. M., and La Torre, A. (2019). Retinal ganglion cell replacement: current status and challenges ahead. Dev. Dyn. 248, 118–128. doi: 10.1002/dvdy.24672
Moore, D. L., Blackmore, M. G., Hu, Y., Kaestner, K. H., Bixby, J. L., Lemmon, V. P., et al. (2009). KLF family members regulate intrinsic axon regeneration ability. Science 326, 298–301. doi: 10.1126/science.1175737
Mu, X., Fu, X., Beremand, P. D., Thomas, T. L., and Klein, W. H. (2008). Gene-regulation logic in retinal ganglion cell development: Isl1 defines a critical branch distinct from but overlapping with Pou4f2. Proc. Natl. Acad. Sci. U.S.A. 105, 6942–6947. doi: 10.1073/pnas.0802627105
Mu, X., Fu, X., Sun, H., Beremand, P. D., Thomas, T. L., and Klein, W. H. (2005). A gene network downstream of transcription factor Math5 regulates retinal progenitor cell competence and ganglion cell fate. Dev. Biol. 280, 467–481. doi: 10.1016/j.ydbio.2005.01.028
Nelson, B. R., Ueki, Y., Reardon, S., Karl, M. O., Georgi, S., Hartman, B. H., et al. (2011). Genome-wide analysis of Muller glial differentiation reveals a requirement for Notch signaling in postmitotic cells to maintain the glial fate. PLoS One 6:e22817. doi: 10.1371/journal.pone.0022817
Newman, N. J. (2012). Treatment of hereditary optic neuropathies. Nat. Rev. Neurol. 8, 545–556. doi: 10.1038/nrneurol.2012.167
Nguyen-Ba-Charvet, K. T., and Rebsam, A. (2020). Neurogenesis and specification of retinal ganglion cells. Int. J. Mol. Sci. 21:451. doi: 10.3390/ijms21020451
Nickerson, P. E. B., Ortin-Martinez, A., and Wallace, V. A. (2018). Material exchange in photoreceptor transplantation: updating our understanding of donor/host communication and the future of cell engraftment science. Front. Neural Circ. 12:17. doi: 10.3389/fncir.2018.00017
Njaine, B., Rocha-Martins, M., Vieira-Vieira, C. H., De-Melo, L. D., Linden, R., Braas, K., et al. (2014). Pleiotropic functions of pituitary adenylyl cyclase-activating polypeptide on retinal ontogenesis: involvement of KLF4 in the control of progenitor cell proliferation. J. Mol. Neurosci. 54, 430–442. doi: 10.1007/s12031-014-0299-2
Ooto, S., Akagi, T., Kageyama, R., Akita, J., Mandai, M., Honda, Y., et al. (2004). Potential for neural regeneration after neurotoxic injury in the adult mammalian retina. Proc. Natl. Acad. Sci. U. S. A. 101, 13654–13659. doi: 10.1073/pnas.0402129101
Pan, L., Deng, M., Xie, X., and Gan, L. (2008). ISL1 and BRN3B co-regulate the differentiation of murine retinal ganglion cells. Development 135, 1981–1990. doi: 10.1242/dev.010751
Pan, L., Yang, Z., Feng, L., and Gan, L. (2005). Functional equivalence of Brn3 POU-domain transcription factors in mouse retinal neurogenesis. Development 132, 703–712. doi: 10.1242/dev.01646
Pearson, R. A., Gonzalez-Cordero, A., West, E. L., Ribeiro, J. R., Aghaizu, N., Goh, D., et al. (2016). Donor and host photoreceptors engage in material transfer following transplantation of post-mitotic photoreceptor precursors. Nat. Commun. 7:13029. doi: 10.1038/ncomms13029
Pollak, J., Wilken, M. S., Ueki, Y., Cox, K. E., Sullivan, J. M., Taylor, R. J., et al. (2013). ASCL1 reprograms mouse Muller glia into neurogenic retinal progenitors. Development 140, 2619–2631. doi: 10.1242/dev.091355
Prada, C., Puga, J., Perez-Mendez, L., Lopez, R., and Ramirez, G. (1991). Spatial and temporal patterns of neurogenesis in the Chick Retina. Eur. J. Neurosci. 3, 559–569. doi: 10.1111/j.1460-9568.1991.tb00843.x
Qiu, F., Jiang, H., and Xiang, M. (2008). A comprehensive negative regulatory program controlled by Brn3b to ensure ganglion cell specification from multipotential retinal precursors. J. Neurosci. 28, 3392–3403. doi: 10.1523/jneurosci.0043-08.2008
Ramachandran, R., Zhao, X. F., and Goldman, D. (2011). Ascl1a/Dkk/beta-catenin signaling pathway is necessary and glycogen synthase kinase-3beta inhibition is sufficient for zebrafish retina regeneration. Proc. Natl. Acad. Sci. U.S.A. 108, 15858–15863. doi: 10.1073/pnas.1107220108
Rapaport, D. H., Wong, L. L., Wood, E. D., Yasumura, D., and LaVail, M. M. (2004). Timing and topography of cell genesis in the rat retina. J. Comp. Neurol. 474, 304–324. doi: 10.1002/cne.20134
Riesenberg, A. N., Le, T. T., Willardsen, M. I., Blackburn, D. C., Vetter, M. L., and Brown, N. L. (2009). Pax6 regulation of Math5 during mouse retinal neurogenesis. Genesis 47, 175–187.
Rocha-Martins, M., de Toledo, B. C., Santos-Franca, P. L., Oliveira-Valenca, V. M., Vieira-Vieira, C. H., Matos-Rodrigues, G. E., et al. (2019). De novo genesis of retinal ganglion cells by targeted expression of Klf4 in vivo. Development 146:dev176586. doi: 10.1242/dev.176586
Rueda, E. M., Hall, B. M., Hill, M. C., Swinton, P. G., Tong, X., Martin, J. F., et al. (2019). The hippo pathway blocks mammalian retinal muller glial cell reprogramming. Cell Rep 27, 1637.e6–1649.e6. doi: 10.1016/j.celrep.2019.04.047
Sharma, P., Gupta, S., Chaudhary, M., Mitra, S., Chawla, B., Khursheed, M. A., et al. (2020). Biphasic role of Tgf-beta signaling during muller glia reprogramming and retinal regeneration in Zebrafish. iScience 23:100817. doi: 10.1016/j.isci.2019.100817
Sridhar, A., Hoshino, A., Finkbeiner, C. R., Chitsazan, A., Dai, L., Haugan, A. K., et al. (2020). Single-cell transcriptomic comparison of human fetal retina, hPSC-derived retinal organoids, and long-term retinal cultures. Cell Rep 30, 1644.e4–1659.e4. doi: 10.1016/j.celrep.2020.01.007
Tran, N. M., Shekhar, K., Whitney, I. E., Jacobi, A., Benhar, I., Hong, G., et al. (2019). Single-cell profiles of retinal ganglion cells differing in resilience to injury reveal neuroprotective genes. Neuron 104, 1039.e12–1055.e12. doi: 10.1016/j.neuron.2019.11.006
Turner, D. L., Snyder, E. Y., and Cepko, C. L. (1990). Lineage-independent determination of cell type in the embryonic mouse retina. Neuron 4, 833–845. doi: 10.1016/0896-6273(90)90136-4
Ueki, Y., and Reh, T. A. (2013). EGF stimulates Muller glial proliferation via a BMP-dependent mechanism. Glia 61, 778–789. doi: 10.1002/glia.22472
Ueki, Y., Wilken, M. S., Cox, K. E., Chipman, L., Jorstad, N., Sternhagen, K., et al. (2015). Transgenic expression of the proneural transcription factor Ascl1 in Muller glia stimulates retinal regeneration in young mice. Proc. Natl. Acad. Sci. U.S.A. 112, 13717–13722. doi: 10.1073/pnas.1510595112
Usui, A., Mochizuki, Y., Iida, A., Miyauchi, E., Satoh, S., Sock, E., et al. (2013). The early retinal progenitor-expressed gene Sox11 regulates the timing of the differentiation of retinal cells. Development 140, 740–750. doi: 10.1242/dev.090274
Venugopalan, P., Wang, Y., Nguyen, T., Huang, A., Muller, K. J., and Goldberg, J. L. (2016). Transplanted neurons integrate into adult retinas and respond to light. Nat. Commun. 7:10472. doi: 10.1038/ncomms10472
Vetter, M. L., and Hitchcock, P. F. (2017). Report on the National Eye Institute Audacious Goals Initiative: replacement of retinal ganglion cells from endogenous cell sources. Transl. Vis. Sci. Technol. 6, 5–5. doi: 10.1167/tvst.6.2.5
Vitorino, M., Jusuf, P. R., Maurus, D., Kimura, Y., Higashijima, S., and Harris, W. A. (2009). Vsx2 in the zebrafish retina: restricted lineages through derepression. Neural Dev. 4:14. doi: 10.1186/1749-8104-4-14
Wan, J., and Goldman, D. (2016). Retina regeneration in zebrafish. Curr. Opin. Genet. Dev. 40, 41–47. doi: 10.1016/j.gde.2016.05.009
Wan, J., and Goldman, D. (2017). Opposing actions of Fgf8a on notch signaling distinguish two muller glial cell populations that contribute to retina growth and regeneration. Cell Rep. 19, 849–862. doi: 10.1016/j.celrep.2017.04.009
Wan, J., Ramachandran, R., and Goldman, D. (2012). HB-EGF is necessary and sufficient for Muller glia dedifferentiation and retina regeneration. Dev. Cell 22, 334–347. doi: 10.1016/j.devcel.2011.11.020
Wang, S. W., Kim, B. S., Ding, K., Wang, H., Sun, D., Johnson, R. L., et al. (2001). Requirement for math5 in the development of retinal ganglion cells. Genes Dev. 15, 24–29. doi: 10.1101/gad.855301
Wang, S. W., Mu, X., Bowers, W. J., Kim, D. S., Plas, D. J., Crair, M. C., et al. (2002). Brn3b/Brn3c double knockout mice reveal an unsuspected role for Brn3c in retinal ganglion cell axon outgrowth. Development 129, 467–477.
Wang, Y., Dakubo, G. D., Thurig, S., Mazerolle, C. J., and Wallace, V. A. (2005). Retinal ganglion cell-derived sonic hedgehog locally controls proliferation and the timing of RGC development in the embryonic mouse retina. Development 132, 5103–5113. doi: 10.1242/dev.02096
Watanabe, T., and Raff, M. C. (1990). Rod photoreceptor development in vitro: intrinsic properties of proliferating neuroepithelial cells change as development proceeds in the rat retina. Neuron 4, 461–467. doi: 10.1016/0896-6273(90)90058-n
Wu, F., Kaczynski, T. J., Sethuramanujam, S., Li, R., Jain, V., Slaughter, M., et al. (2015). Two transcription factors, Pou4f2 and Isl1, are sufficient to specify the retinal ganglion cell fate. Proc. Natl. Acad. Sci. U.S.A. 112, E1559–E1568. doi: 10.1073/pnas.1421535112
Xiao, D., Qiu, S., Huang, X., Zhang, R., Lei, Q., Huang, W., et al. (2019). Directed robust generation of functional retinal ganglion cells from Müller glia. bioRxiv Available online at: https://www.biorxiv.org/content/10.1101/735357v1 (accessed on 27 August 2020)
Xue, Y., Ouyang, K., Huang, J., Zhou, Y., Ouyang, H., Li, H., et al. (2013). Direct conversion of fibroblasts to neurons by reprogramming PTB-regulated microRNA circuits. Cell 152, 82–96. doi: 10.1016/j.cell.2012.11.045
Yao, K., Qiu, S., Tian, L., Snider, W. D., Flannery, J. G., Schaffer, D. V., et al. (2016). Wnt regulates proliferation and neurogenic potential of muller glial cells via a Lin28/let-7 miRNA-dependent pathway in adult mammalian retinas. Cell Rep. 17, 165–178. doi: 10.1016/j.celrep.2016.08.078
Yao, K., Qiu, S., Wang, Y. V., Park, S. J. H., Mohns, E. J., Mehta, B., et al. (2018). Restoration of vision after de novo genesis of rod photoreceptors in mammalian retinas. Nature 560, 484–488. doi: 10.1038/s41586-018-0425-3
Young, R. W. (1985). Cell differentiation in the retina of the mouse. Anat. Rec. 212, 199–205. doi: 10.1002/ar.1092120215
Zhang, J., Taylor, R. J., La Torre, A., Wilken, M. S., Cox, K. E., Reh, T. A., et al. (2015). Ezh2 maintains retinal progenitor proliferation, transcriptional integrity, and the timing of late differentiation. Dev. Biol. 403, 128–138. doi: 10.1016/j.ydbio.2015.05.010
Zhang, Q., Zagozewski, J., Cheng, S., Dixit, R., Zhang, S., de Melo, J., et al. (2017). Regulation of Brn3b by DLX1 and DLX2 is required for retinal ganglion cell differentiation in the vertebrate retina. Development 144, 1698–1711. doi: 10.1242/dev.142042
Zhang, X. M., Hashimoto, T., Tang, R., and Yang, X. J. (2018). Elevated expression of human bHLH factor ATOH7 accelerates cell cycle progression of progenitors and enhances production of avian retinal ganglion cells. Sci. Rep. 8:6823. doi: 10.1038/s41598-018-25188-z
Zhou, H., Su, J., Hu, X., Zhou, C., Li, H., Chen, Z., et al. (2020). Glia-to-neuron conversion by CRISPR-CasRx alleviates symptoms of neurological disease in mice. Cell 181, 590.e16–603.e16. doi: 10.1016/j.cell.2020.03.024
Keywords: regeneration, retinal ganglion cells, glaucoma, development, molecular programs
Citation: Oliveira-Valença VM, Bosco A, Vetter ML and Silveira MS (2020) On the Generation and Regeneration of Retinal Ganglion Cells. Front. Cell Dev. Biol. 8:581136. doi: 10.3389/fcell.2020.581136
Received: 07 July 2020; Accepted: 28 August 2020;
Published: 17 September 2020.
Edited by:
Flavio Zolessi, Universidad de la República, UruguayReviewed by:
Lucia Poggi, University of Trento, ItalyEumorphia Remboutsika, National and Kapodistrian University of Athens, Greece
Copyright © 2020 Oliveira-Valença, Bosco, Vetter and Silveira. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mariana S. Silveira, silveira@biof.ufrj.br
†These authors have contributed equally to this work