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    Live-cell imaging: new avenues to investigate retinal regeneration

    2017-09-04 07:27:00ManuelaLahneDavidHyde

    Manuela Lahne, David R. Hyde

    Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA

    Live-cell imaging: new avenues to investigate retinal regeneration

    Manuela Lahne, David R. Hyde*

    Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA

    How to cite this article:Lahne M, Hyde DR (2017) Live-cell imaging: new avenues to investigate retinal regeneration. Neural Regen Res 12(8):1210-1219.

    Sensing and responding to our environment requires functional neurons that act in concert. Neuronal cell loss resulting from degenerative diseases cannot be replaced in humans, causing a functional impairment to integrate and/or respond to sensory cues. In contrast, zebraf i sh (Danio rerio) possess an endogenous capacity to regenerate lost neurons. Here, we will focus on the processes that lead to neuronal regeneration in the zebraf i sh retina. Dying retinal neurons release a damage signal, tumor necrosis factor α, which induces the resident radial glia, the Müller glia, to reprogram and re-enter the cell cycle.e Müller glia divide asymmetrically to produce a Müller glia that exits the cell cycle and a neuronal progenitor cell.e arising neuronal progenitor cells undergo several rounds of cell divisions before they migrate to the site of damage to dif f erentiate into the neuronal cell types that were lost. Molecular and immunohistochemical studies have predominantly provided insight into the mechanisms that regulate retinal regeneration. However, many processes during retinal regeneration are dynamic and require live-cell imaging to fully discern the underlying mechanisms. Recently, a multiphoton imaging approach of adult zebraf i sh retinal cultures was developed. We will discuss the use of live-cell imaging, the currently available tools and those that need to be developed to advance our knowledge on major open questions in the fi eld of retinal regeneration.

    multiphoton microscopy; live-cell imaging; zebraf i sh; interkinetic nuclear migration; tissue culture; retinal regeneration; Müller glia; neuronal progenitor cell; dif f erentiation; phagocytosis

    Introduction

    Neurogenesis in the adult human central nervous system (CNS) is restricted to limited regions of the braini.e., the subventricular zone and the dentate gyrus (Ming and Song, 2011; Goncalves et al., 2016). Consequently, neuronal damage and death in most of the CNS cannot be repaired leading to functional impairment of the nervous system (Dimou and Gotz, 2014). In contrast, lower vertebrates such as fi sh, reptiles and amphibians possess an endogenous capacity to regenerate lost neurons in the brain, spinal cord and sensory organs, such as the retina and ear (Hitchcock et al., 2004; Kaslin et al., 2008; Burns and Corwin, 2013). Research in goldf i sh (Carassiusauratus) provided the fi rst insight that neurons within the adult retina can be regenerated in response to a variety of damage stimuli including surgical, laser and chemical lesions (Maier and Wolburg, 1979; Braisted and Raymond, 1992; Hitchcock et al., 1992; Braisted et al., 1994; Hitchcock et al., 2004). Recently, zebrafish (Danio rerio) has become the preferred teleost species to investigate retinal regeneration due to the availability of tools to manipulate gene function (Wyatt et al., 2015). In the adult zebraf i sh retina, radial glial cells, the Müller glia, are induced to reprogram and re-enter the cell cycle in response to a variety of damage stimuli (Figure 1; Fausett and Goldman, 2006; Bernardos et al., 2007; Fimbel et al., 2007; Kassen et al., 2007; Powell et al., 2016). Damaged retinal neurons release tumor necrosis factor alpha, which acts as a damage signal to initiate Müller glia reprogramming and induces their re-entry into the cell cycle (Nelson et al., 2013). Proliferating Müller glia nuclei replicate their DNA in the basal region of the inner nuclear layer (INL), where they are typically located, and migrate to the apical surface of the retina, the outer nuclear layer (ONL), to divide asymmetrically to yield a Müller glia and a neuronal progenitor cell (NPC; Figure 1c–e; Nagashima et al., 2013; Lahne et al., 2015). Both the Müller glia and neuronal progenitor cells (NPC) return to the INL, where the Müller glia has been suggested to exit the cell cycle and the NPCs continue to proliferate (Figure 1e–h; Nagashima et al., 2013; Lahne et al., 2015).is migratory pattern in phase with the cell cycle, termed interkinetic nuclear migration (INM), was originally observed in developing neuro-epithelia (Sauer and Walker, 1959; Pearson et al., 2005; Baye and Link, 2007). Like NPC nuclei during development, those in the regenerating retina also undergo INM before they locate to the site of damage and differentiate into the lost neurons (Figure 1f–i; Vihtelic and Hyde, 2000; Lahne et al., 2015).

    Research has predominantly focused on identifying signaling mechanisms that regulate Müller glia and NPC proliferation (Gorsuch and Hyde, 2014; Lenkowski and Raymond, 2014). In contrast, less attention has been given to other cellular processes that occur during retinal regeneration, such as phagocytosis of dying neurons and their role in inducing proliferation, the migration of NPCs to the site of damage, and the integration of newly differentiated neurons into the existing neuronal network. Our current knowledge of themechanisms governing retinal regeneration predominantly stems from research that employs molecular and immunohistochemical approaches, while live-cell imaging techniques of the adult zebraf i sh retina have not been available until recently (Bailey et al., 2012; Weber et al., 2013; Lahne et al., 2015, 2017). Spectral domain optical coherence tomography (SDOCT) was previously used to monitor damage and the recovery of the retinal structure in live adult zebrafish following light- or ouabain-induced damage (Bailey et al., 2012; Weber et al., 2013). However, this technique has not yet been employed to study mechanisms regulating retinal regeneration in zebrafish. Moreover, SD-OCT does not allow visualizing cellular details or processes such as INM. Recently, we developed a multiphoton imaging approach to monitor INM in live retinal cultures from adult light-damaged zebrafish (Lahne et al., 2015, 2017).is approach is not only applicable to investigating INM, but also other dynamic processes that occur during retinal regeneration. Here, we will summarize research areas during zebraf i sh retinal regeneration that would benef i t from performing live-cell imaging and give an overview of tools that are available or that have to be developed to advance our understanding of retinal regeneration.

    Phagocytosis of Dying Neurons

    Müller glia phagocytosis

    Müller glia were proposed to phagocytose dying cells in the regenerating zebrafish retina based on the presence of cytoplasmic TUNEL (Terminal deoxynucleotidyl transferase dUTP nick end labeling) signal or rod photoreceptor-driven GFP inTg(XlRho:EGFP)f l 1zebraf i sh (Figure 1a–c; Bailey et al., 2010). Live-cell imaging will be a powerful tool to verify that Müller glia engulf dying retinal neurons in the adult zebraf i sh retina. Elegant live-cell imaging studies of the chick and mouse utricle, a balance organ, showed that the glial cells (support cells) in these sensory epithelia phagocytose dying hair cells (sensory cells; Bird et al., 2010; Monzack et al., 2015). RCAS-driven (retroviral vector) mosaic expression ofβ-actin-enhanced green fl uorescent protein (EGFP) in both the glial cells and hair cells of utricles revealed a twostep process: initially the actin rich hair bundles were excised, followed by the phagocytosis of the dying hair cells by surrounding glial support cells (Bird et al., 2010). During this process, a reorganization of the actin cytoskeleton occurred, which indicates that the actin cytoskeleton plays an active role in hair cell phagocytosis (Bird et al., 2010; Monzack et al., 2015). Hair cells and photoreceptors are similarly structured in that both consist of apical membrane protrusions that form the sensory units, the stereocilial hair bundles or the rod and cone photoreceptor inner and outer segments, respectively. Moreover, similar proteins such as the Usher syndrome family of proteins are present in both stereocilial hair bundles and photoreceptor inner and outer segments (Mathur and Yang, 2015). As such, it could be envisioned that Müller glia, similar to the removal of dying hair cells by glial supporting cells, initially excise the inner/outer segment of photoreceptors before they engulf the photoreceptor cell bodies. In support of this model, uptake of the rod inner segment marker zs-4 was not observed in Müller glia (Bailey et al., 2010).e recent establishment of live-cell imaging of zebraf i sh retinal explants by multiphoton microscopy (Lahne et al., 2015, 2017) will reveal whether and how Müller glia phagocytose dying photoreceptors in the damaged zebraf i sh retina. Transgenic lines that express fl uorescent proteins with different excitation spectra in rod photoreceptor cells and Müller glia, such as theTg[rho:nsfB.Eco-EGFP]andTg[gfap-2A-tdtomato], respectively, will be useful in determining whether Müller glia phagocytose dying rod photoreceptors. Interestingly, Bailey et al. (2010) did not observe uptake of fl uorescent protein that stemmed from a cone-photoreceptor-specif i c transgene.us, it will be important to examine whether phagocytosis of cellular debris by Müller glia is specif i c to rod photoreceptors in the zebraf i sh retina or whether other retinal cell types are also phagocytosed. Live-cell imaging of double transgenic lines that identify Müller glia and other retinal cell types, such as ganglion and amacrine cells in theTg[elavl3:EGFP]transgenic zebraf i sh, in combination with a damage paradigm that predominantly ablates these neurons, will answer whether each neuronal cell type is phagocytosed by Müller glia in the regenerating zebraf i sh retina.

    Microglia phagocytosis of dying neurons

    Microglia possess a variety of functions (Brawek and Garaschuk, 2017). Importantly, they are responsible for engulf i ng cell debris and dying cells, thereby maintaining a physiologically viable environment for healthy cells (Sousa et al., 2017; Brawek and Garaschuk, 2017). Additionally, microglia can induce apoptosis in neurons in the inflamed brain and in neuronal precursor cells during nervous system development (Cunningham et al., 2013; Neher et al., 2013; Brown and Neher, 2014). In retinitis pigmentosa models, microglia have been suggested to engulf both living and dead photoreceptors and disruption of the microglial function delayed the degeneration phenotype (Zhao et al., 2015a). Recently, microglial behavior was investigated by live-cell imaging of larvalTg[rho:YFP-ntr]zebrafish in response to rod photoreceptor cell death (White et al., 2017). Microglia that were resident in the nerve fi ber layer of the larval retina migrated to the site of injury, the ONL, to engulf dying photoreceptors (White et al., 2017). As it was previously shown that dying cells release fl uorescent proteins upon membrane disintegration, this sophisticated study would have benef i ted from the use of dyes that enter dying cells to convincingly demonstrate phagocytosis of dying neurons by microglia (Monzack et al., 2015).is approach would also establish whether microglial engulfment of dying cells induced neuronal apoptosis in zebraf i sh similar to their ef f ect in retinitis pigmentosa models (Zhao et al., 2015a). In the future, it will be necessary to investigate whether microglia in the adult regenerating retina behave similar to those in larval zebraf i sh (Figure 1a–e). In the adult retina, microglia reside in the nerve fiber layer, the inner plexiform/basal inner nuclear layer, and the outer plexiform layer (Bailey et al., 2010). As such, the kinetics of microglial activation might dif f er as they are distributed closer to the site of injury.

    As both microglia and Müller glia were suggested to phagocytose dying retinal cells, it will be necessary to examine their contribution to the removal of cell debris. Interestingly, if Müller glia engulf photoreceptors in a two-step process, initially excising the photoreceptor inner and outer segment, similar to glial cells in hair cell epithelia (Bird et al., 2010; Monzack et al., 2015), then potentially microglia phagocytose the released inner/outer segment structures. Additionally, Müller glia were not observed to take up cone photoreceptor components/f l uorescence (Bailey et al., 2010).us, microglia might play the predominant role in the removal of dying cone photoreceptors. To distinguish the contributions of these two cell types, the mechanisms that regulate the initiation, recognition, and engulfment of cellular debris will have to be determined. While it is possible that both cell types employ similar mechanisms, cell-type specif i c knockdown strategies could be used to manipulate expression levels of genes important for the recognition and engulfment of debris. Subsequent monitoring of the phagocytic activity of the two cell types would reveal their individual involvement. Interestingly, ablation of microglia resulted in reduced Müller glia proliferation and a decreased regenerative capacity in larval zebraf i sh (White et al., 2017). While it still has to be established that a similar effect is observed in the adult zebraf i sh retina, it will be crucial to understand the cross-talk between microglia and Müller glia that instruct Müller glia to re-enter the cell cycle.

    Mechanisms Governing INM of Müller Glia and NPCs

    In both the developing and regenerating zebrafish retina, nuclei of proliferating cells (i.e., Müller glia and NPCs) undergo INM (Pearson et al., 2005; Baye and Link, 2007; Norden et al., 2009; Nagashima et al., 2013; Lahne et al., 2015). Live-cell imaging studies have predominantly provided insight into the mechanisms governing INM in the developing retina (Pearson et al., 2005; Del Bene et al., 2008; Norden et al., 2009). In contrast, live-cell imaging was only used to conf i rm that INM occurs in the regenerating retina, but was not employed to examine the regulatory processes that facilitate INM (Lahne et al., 2015, 2017). For example,Tg[gfap:nGFP]mi2004zebraf i sh that express GFP in nuclei under the control of the Müller glia-specif i c promoter, glial fi brillary acidic protein (gfap), were used to determine the velocities before nuclear envelope breakdown and aer cell division. However, the velocity after nuclear envelop breakdown could not be determined inTg[gfap:nGFP]mi2004zebrafish due to the redistribution of GFP throughout the cell following nuclear envelop breakdown. Studying INM in retinal explants fromTg[h2afva:h2afva-GFP]kca6zebrafish, which express a fusion protein consisting of histone 2 and GFP that remains attached to the DNA throughout the cell cycle, would overcome this limitation (Pauls et al., 2001).

    During neuroepithelial development, both actin-myosin mediated contraction, as well as the action of microtubules, has been suggested to facilitate INM in various tissues (Del Bene et al., 2008; Norden et al., 2009; Schenk et al., 2009; Tsai et al., 2010; Yu et al., 2011; Spear and Erickson, 2012). Inhibiting either actin fi lament formation or Rho-associated coiled-coil kinases implicated actin-myosin contraction as a mediator of INM in the regenerating retina. However, the contribution of microtubules in regulating INM in the regenerating retina was not investigated. In the chick neural tube, actin-myosin and microtubules both play a role at different stages of INM (Spear and Erickson, 2012). Tools are available to monitor the re-arrangement of the actin cytoskeleton (e.g.,Tg(actc1b:LIFEACT-EGFP)) or the microtubule apparatus (e.g., Tg(UAS:EGFP-tuba2)) in zebraf i sh (Asakawa and Kawakami, 2010; Behrndt et al., 2012). Livecell imaging of retinal cultures that express transgenes that can detect cytoskeletal changes, in combination with pharmacological or genetic approaches to disrupt the function of these cellular components, will reveal the contribution of distinct cytoskeletal networks in facilitating INM in the regenerating retina. Interestingly, based on the velocity, basal migration of nuclei in the regenerating retina occurs in an actively-driven manner, which is in contrast to retinal devel-opment where basal migration was suggested to be a passive stochastic process (Norden et al., 2009; Lahne et al., 2015). It is possible that Müller glia and NPC INM is regulated by different mechanisms and that NPCs in the regenerating retina might behave more similar to NPCs in the developing retina.us, NPC basal migration might occur in a passive manner, while Müller glia basal migration is driven by active forces.is hypothesis will have to be examined by assessing migration kinetics at dif f erent stages of the regeneration response using stage-specific transgenic zebrafish lines (Fausett and Goldman, 2006;ummel et al., 2008; Lahne et al., 2015).

    Deciphering the mechanisms that regulate basal migration might be challenging as pharmacological inhibition or genetic disruption of signaling pathways/cytoskeletal components might af f ect both apical and basal migration.e recent development of photo-activatable drugs, such as caged rho-associated coiled-coil kinase inhibitor Rockout, might help elucidate the mechanisms regulating basal nuclear migration, specifically, if photo-activation of these pharmacological agents was induced immediately after mitosis was observed by live-cell imaging (Morckel et al., 2012). Additionally, generating transgenic zebraf i sh that express optically-controllable tools, such as those that activate extracellularly regulated kinases or inhibit calcium/calmodulin-dependent protein kinase II (Johnson et al., 2017; Murakoshi et al., 2017) will of f er a variety of means to examine the processes governing basal INM. Alternatively, plasmids that encode photoactivatable proteins could be electroporated into retinal explants; however, low electroporation efficiencies have been reported previously, especially in the central retina (Kustermann et al., 2008).

    Regulation of Cell Fate Choices

    Disrupting INM in the developing retina resulted in early cell cycle exit and increased production of early born neurons at the expense of those generated later during retinal development, potentially due to the exposure of basally located nuclei to aberrant Notch signaling levels, as overexpression of the Notch intracellular domain rescued the cell cycle exit and dif f erentiation defects (Del Bene et al., 2008). In agreement, nuclei that migrated more basally following mitosis were more likely to produce neurons following the next round of mitosis rather than remaining in the cell cycle (Baye and Link, 2007).us, INM likely plays a role in regulating cell cycle exit decisions. Similarly, increased numbers of early born neurons were observed when INM was blocked in the regenerating zebrafish retina (Lahne et al., 2015). Interestingly, in the adult regenerating zebraf i sh retina, the two nuclei that formed following cell division were observed to migrate different distances basally into the INL or further into the inner plexiform layer (Figure 1e, g; Lahne et al., 2015). Monitoring the fate of nuclei that had migrated to dif f erent basal locations using longer-term live-cell imaging would reveal whether nuclear migration distances have similar functional implications as in retinal development. Photoconversion of Kaede-expressing transgenic lines could trace the nuclei that had migrated most basally and subsequently determine their cell fate (Hatta et al., 2006; Wilson et al., 2016). However, it must be established whether NPCs in retinal explant cultures behave similarly to thosein vivo,i.e., whether they are able to commit to a neuronal lineage and subsequently mature into neurons (ummel et al., 2008;omas et al., 2012; Conner et al., 2014; Lahne et al., 2015).

    Recently, it was demonstrated that photoreceptor cell death results in the generation of other neuronal cell types such as ganglion, amacrine and bipolar cells, that were not lost in response to intense light (Figure 1i, checkered nuclei in the INL and GCL; Vihtelic et al., 2006; Lahne et al., 2015; Powell et al., 2016). In the developing retina, the dif f erent cell types are produced in a sequential, but overlapping order (Carter-Dawson and LaVail, 1979; Young, 1985; He et al., 2012; Suzuki et al., 2013). Thus, the different retinal cell types that are produced in the regenerating retina might be generated in a similar sequential fashion (Figure 2). To use live-cell imaging to investigate whether NPCs follow a similar developmental pattern of cell fate specif i cation, markers/transgenic lines have tobe identif i ed that distinguish between the dif f erent cell types. During zebraf i sh retinal development, a number of transgenic lines were generated to investigate the pattern and mechanisms governing cell type specification (Poggi et al., 2005; Baye and Link, 2007; Jusuf et al., 2011; Suzuki et al., 2013; Weber et al., 2014). Currently, only theTg[atoh7:GFP]andTg[nrd:EGFP]transgenic zebraf i sh upregulate GFP expression in NPCs in the light-damaged zebraf i sh retina (omas et al., 2012; Conner et al., 2014; Lahne et al., 2015).

    Figure 1 Schematic of the time course of the regenerating zebraf i sh retina.

    To understand the processes regulating neuronal dif f erentiation in the regenerating retina, it also has to be established how the newly arising photoreceptors locate to the ONL. Based on the position of proliferating nuclei clusters in the INL of fixed tissue sections at 72 hours of light treatment (Figure 1g) and their accumulation in the ONL at later time points (Figure 1h), it was suggested that NPCs migrate from the INL to the ONL along the radial Müller glia processes (Figure 1g, h; Vihtelic and Hyde, 2000; Gorsuch and Hyde, 2014). However, it is possible that the distribution of NPCs to the ONL is mediated by INMe.g., either one nucleus remains in the ONL while the second returns to the INL or alternatively both nuclei stay in the ONL (Figure 2). Live-cell imaging of retinal cultures showed that only 61 percent of Müller glia/NPC nuclei inTg[gfap:nGFP] zebraf i sh returned to the INL, supporting that many of the cells remain in the ONL to potentially dif f erentiate into photoreceptors (Lahne et al., 2015). In the developing retina, red cone precursor cells can either arise from an asymmetric division at the apical surface that also produces a ganglion cell or a horizontal cell precursor (Suzuki et al., 2013).e arising precursor cell nuclei subsequently migrated basally before the red cone precursor cell nuclei migrated apically to divide symmetrically to give rise to two red cone photoreceptors (Suzuki et al., 2013). During retinal regeneration, a detailed analysis of the location of both daughter cells aer cell division and their fate at dif f erent stages of the proliferative response is necessary. It is also unclear, whether all the nuclei that remain in the ONL exit the cell cycle (Figure 2d, e). Live-cell imaging of retinal explants from Fucci zebrafish (e.g.,Tg[-3.5ubb:Cerulean-gmnn-2A-mCherry-cdt1]), which express different fluorescent proteins in G0/G1versusS/ G2/M-phases, could elucidate whether nuclei that stay in the ONL exit the cell cycle (Sugiyama et al., 2009; Bouldin and Kimelman, 2014a, b). Furthermore, it is unknown whether those nuclei that remain in the ONL dif f erentiate into specif i c cone photoreceptor subtypes or rod photoreceptors.Tg[gfap:nGFP]zebraf i sh in combination withe.g.,Tg[trβ2:tdTomato]transgenics could give insight whether a subset of those ONL-remaining nuclei dif f erentiate into red cone photoreceptors.

    Figure 2 Hypothetical model of NPC-mediated generation of neuronal subtypes in the regenerating zebraf i sh retina.

    Inf l uence of division plane orientation on cell fate choices

    Functional Integration of Regenerated Neurons into the Existing Neuronal Circuit

    Reforming synaptic contacts was previously studied in response to either photoreceptor or bipolar cell regeneration in larval zebrafish (D’Orazi et al., 2016; Yoshimatsu et al., 2016). H3 horizontal cells re-established contacts with regenerated UV-cones, maintaining their preferential connectivity, while regenerated bipolar cells changed their connectivity pattern, forming less frequently contacts with red cones (D’Orazi et al., 2016; Yoshimatsu et al., 2016). In larval zebrafish, developmental signaling networks may still be active, thus regulating the re-establishment of neuronal networks. In contrast, integrating newly regenerated photoreceptors into the existing neuronal network and the mechanisms that drive this process have not been investigated in the light-damaged adult zebrafish retina. In addition to the production of photoreceptors, other retinal neurons including amacrine, ganglion and bipolar cells were also recently shown to be produced following light-damage (Lahne et al., 2015; Powell et al., 2016). It will be interesting to investigate whether these neuronal cell types also integrate into the existing neuronal circuit. Live-cell imaging could establish whether regenerated neurons generate processes that are appropriate for the specific cell type as established during retinal development (Godinho et al., 2005; Mumm et al., 2006; Schroeter et al., 2006). However, as the majority of inner retinal neurons are maintained, transgenic lines will have to be identif i ed that allow tracking of the newly generated ganglion, amacrine and bipolar cells and distinguish them from those that were maintained during the damaging insult. Lineage-tracing experiments using Müller glia or NPC-specif i c Cre-recombinase expressing lines in conjunction with a fl oxed fl uorescent reporter zebraf i sh line would enable the identif i cation of newly generated neurons and would allow monitoring the outgrowth of axons and dendritic arbors by live-cell imaging (Ramachandran et al., 2012; Briona et al., 2015). Alternatively, transgenic zebraf i sh lines that transiently upregulate the expression of fl uorescent reporter proteins in NPCs might be suitable to detect newly generated neurons if these fl uorescent reporter proteins are stable for extended periods. In the light-damaged retina, GFP under the control of theatoh7promotor is specifically expressed in a subset of NPCs (Conner et al., 2014; Lahne et al., 2015). Moreover, during zebrafish retinal developmentatoh7:GFP-positive cells give rise to ganglion, amacrine and photoreceptor cells (Poggi et al., 2005) and as such, theTg[atoh7:EGFP]transgenic line could be tested for its potential to identify newborn ganglion, amacrine and photoreceptor cells during the regenerative response. Ideally, suitable transgenic zebrafish would be crossed to transgenic lines expressing fl uorophores of a dif f erent spectrum that identif i es the various neuronal cell types that were maintained while the damaging insult occurred. Live-cell imaging of retinal cultures of such double transgenic lines during the regenerative phase would reveal whether newly generated neurons contact those that were maintained throughout the damaging period.

    Monitoring the establishment of contacts between newly generated neurons and those maintained in the regenerated retina does not reveal whether these cells functionally interact. Recently, zebrafish lines were developed that drive the Gal/UAS-regulated expression of optogenetic tools that allow the manipulation of cellular ion concentrations and thus membrane potential and cell excitability. Transgenic lines available that express light-gated ion channels or pumps include channelrhodopsin (non-selective cation channel), archearhodopsin 3 (proton pump) and Halo (chloride pump, Kimura et al., 2013). Live-cell imaging of retinal cultures from these transgenic lines would of f er the possibility to manipulate the membrane potential and thereby fi ring probabilities of neurons in a spatially restricted manner, potentially allowing only the activation of single cells by laser light of a specif i c wavelength. However, to employ these tools to investigate the functional interaction between existing and newly formed neurons, they would have to be combined with an approach such as calciumor voltage-sensitive imaging that permits detecting a functional output in a network of cells. Transgenic lines that express genetically encoded calcium-sensitive reporters such as GCaMP or commercially available synthetic calcium or voltage-sensing probes could be employed (Friedrich and Korsching, 1998; Renninger and Orger, 2013). While this sophisticated approach would reveal the extent newly generated neurons interact with existing neurons, it might harbor several challenges as newly/ existing cells would have to be imaged while calcium/membrane potentials of neighboring cells are measured and optogenetic tools are simultaneously stimulated.

    Alternatively, neurons produced in excess such as ganglion, amacrine and bipolar cells that are not lost during light-damage or photoreceptors that are generated following N-methyl-D-aspartate (NMDA)-induced inner retinal neuronal loss might undergo apoptosis (Vihtelic et al., 2006; Powell et al., 2016). In support, following poke-induced injury, a decline in the number of newly generated cells that were pulsed with bromodeoxyuridine (BrdU) during the proliferative phase was observed aer the cessation of proliferation, suggesting that overproduced neurons might undergo apoptosis (Fausett and Goldman, 2006). During nervous system development, neurons that were produced in excess are removed by microglia (Marin-Teva et al., 2004; Cunningham et al., 2013). Moreover, microglia do not only remove apoptotic cells, but they can also induce apoptosis (e.g., of neuronal precursor cells in the developing brain), thus playing an active role in the control of organ size and circuit formation (Cunningham et al., 2013). Currently, it remains unknown whether neurons born in excess in the regenerating retina are removed by microglial activity similar to nervous system development (Marin-Teva et al., 1999; Marin-Teva et al., 2004). Live-cell imaging approaches using retinal cultures from double-transgenic zebrafish lines that identify both newly generated neurons and microglia (e.g.,Tg[mpeg:EGFP]) would reveal whether microglia engulf newly generated neurons (Ellett et al., 2011; Morsch et al., 2015). Additionally, the viability status of the engulfed cell can be assessed by exposing retinal cultures during the imaging period to dyes that are excluded from healthy cells and that are only incor-porated into the DNA following cell membrane breakdown (Zhao et al., 2015a). Uptake of such a dye following microglial phagosome formation would indicate that microglia induce neuronal cell death rather than clearing apoptotic cells. It will be interesting to compare the percentages of newly generated neuronal cell types that are induced to die relatively to those integrated into the neuronal circuit in various damage models that ablate different cell types. Understanding the mechanisms that regulate/maintain the balance between integration and cell death might help direct the integration of the correct number of cells following cell transplantation of induced pluripotent stem cells or precursor cells in the future.

    Advantages and Limitations of Two-Photon Imaging of Retinal Cultures

    The development of the multiphoton imaging technique to monitor dynamic processes in retinal explant cultures during retinal regeneration such as phagocytosis of dying neurons by Müller glia or interkinetic nuclear migration is a major technical advancement (Lahne et al., 2015, 2017). Culture systems of f er the advantage that the tissue of interest can be exposed to pharmacological agents in an easy and controlled manner, permitting fl exibility to maintain constant concentrations without affecting other tissues/organs. However, in regard to live-cell imaging, it has to be kept in mind when designing the experiment that some drugs are light-sensitive.is limiting factor can be overcome by continuously replacing the drugs utilizing perfusion systems (Scudder et al., 1993; Tiruchinapalli et al., 2003). While cell culture systems offer great means to study cellular processes by live-cell imaging the components included in the culture media might positively or negatively af f ect the behavior of cells,e.g., it was previously shown that microglia become activatedin vitro(Stence et al., 2001). Additionally, continuous exposure of cells to laser light can result in the generation of radicals that reduce the viability of cells within the tissue (Coutu and Schroeder, 2013). In the future, techniques will need to be developed to performin vivoimaging of the adult zebrafish retina that allow monitoring of cells in their physiological environment, thereby overcoming limitations associated with tissue culture systems.

    Depending on the multiphoton system available, the user might experience technical restrictions. For instance, the choice of cell death markers/transgenic lines might be limited depending on the range of excitation wavelengths that the system available permits. Additionally, the effective wavelength for the different fluorescent proteins/marker might not overlap and therefore, sequential imaging at different excitation wavelength might have to be executed (Bestvater et al., 2002; Spiess et al., 2005). Sequential imaging would potentially be a disadvantage: 1) as slow image acquisition might hinder or reduce the sensitivity to detect the events of interest, and 2) the events imaged using distinct fl uorescent probes might be temporally offset. The latter might not be problematic for correlating events imaged with distinct fl uorescent probes if small z-stacks are acquired. However, if imaging throughout the thickness of the retina is required, this can result in an inability to obtain conclusive temporal information. Hence, the investigator will have to weigh the advantages and disadvantages to identify the best viable approach to investigate their research question.

    Conclusion

    The development of live-cell imaging approaches will expand our understanding of the dynamic processes that occur during retinal regeneration and the mechanisms that regulate these. Live-cell imaging will also allow tracking of proliferating cells and reveal fate decisions that could otherwise not be discerned. However, in order to use the technique to its full potential, the method will have to be further developed and adjusted according to the research question. Additionally, establishing transgenic zebraf i sh lines that identify cells at specific stages of the regeneration time course and those that express tools to manipulate signaling pathway will open new avenues to expand our knowledge of neuronal regeneration. A deeper understanding of the mechanisms facilitating retinal regeneration in zebraf i sh will ultimately aid the design of regenerative therapies in human.

    Author contributions:ML and DRH wrote the manuscript.

    Conf l icts of interest:None declared.

    Plagiarism check:Checked twice by ienticate.

    Peer review:Externally peer reviewed.

    Open access statement:

    Open peer review report:

    Reviewer: Colin Barnstable, Pennsylvania State University College of Medicine, USA.

    Comments to authors: An authoritative and deep review of a large body of work in zebrafish. This will stand as the key source for this information and should be publicized as much as possible when published.is is a superb review of retinal regeneration in zebraf i sh. It covers almost all of the recent data that have elucidated concepts of regeneration and the role of Muller glial cells in providing a source of retinal progenitors.

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    *< class="emphasis_italic">Correspondence to: David R. Hyde, Ph.D., dhyde@nd.edu.

    David R. Hyde, Ph.D., dhyde@nd.edu.

    orcid: 0000-0003-0198-4403 (David R. Hyde)

    10.4103/1673-5374.213533

    Accepted: 2017-07-20

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