Here, we present a method for investigating neurite morphogenesis in postnatal mouse retinal explants by time-lapse confocal microscopy. We describe an approach for sparse labeling and acquisition of retinal cell types and their fine processes using recombinant adeno-associated virus vectors that express membrane-targeted fluorescent proteins in a Cre-dependent manner.
Discovering mechanisms that pattern dendritic arbors requires methods to visualize, image, and analyze dendrites during development. The mouse retina is a powerful model system for the investigation of cell type-specific mechanisms of neuronal morphogenesis and connectivity. The organization and composition of retinal subtypes are well-defined, and genetic tools are available to access specific types during development. Many retinal cell types also constrain their dendrites and/or axons to narrow layers, which facilitates time-lapse imaging. Mouse retina explant cultures are well suited for live-cell imaging using confocal or multiphoton microscopy, but methods optimized for imaging dendrite dynamics with temporal and structural resolution are lacking. Presented here is a method to sparsely label and image the development of specific retinal populations marked by the Cre-Lox system. Commercially available adeno-associated viruses (AAVs) used here expressed membrane-targeted fluorescent proteins in a Cre-dependent manner. Intraocular delivery of AAVs in neonatal mice produces fluorescent labeling of targeted cell types by 4-5 days post-injection (dpi). The membrane fluorescent signals are detectable by confocal imaging and resolve fine branch structures and dynamics. High-quality videos spanning 2-4 h are acquired from imaging retinal flat-mounts perfused with oxygenated artificial cerebrospinal fluid (aCSF). Also provided is an image postprocessing pipeline for deconvolution and three-dimensional (3D) drift correction. This protocol can be used to capture several cellular behaviors in the intact retina and to identify novel factors controlling neurite morphogenesis. Many developmental strategies learned in the retina will be relevant for understanding the formation of neural circuits elsewhere in the central nervous system.
Dendrites of retinal neurons form intricate, yet specific, patterns that influence their function within neural circuits. In the vertebrate retina, diverse types of retinal ganglion cells (RGCs) and amacrine cell interneurons bear unique dendritic morphologies that differ in arbor size, location, branch length, and density1. During postnatal development, RGCs and amacrine cells extend exuberant dendritic processes into a neuropil called the inner plexiform layer (IPL), where they receive bipolar cell inputs transmitting photoreceptor signals2. As captured by time-lapse imaging of fluorescently labelled retinal populations in chick or zebrafish larvae, dendrite morphogenesis is highly dynamic3,4,5. Within days, dendritic arbors expand, remodel, and ramify to narrow sublayers of the IPL, where they synapse with select partners. The arbors exhibit different structural dynamics over development, with changes in relative rates of branch addition, retraction, and stabilization. Amacrine and RGC dendrites also exhibit different outgrowth and remodeling behaviors that might reflect type-specific arborization. However, these studies tracked broad amacrine or RGC populations and focused on laminar targeting, which is just one aspect of morphology.
The mechanisms that produce the vast morphological diversity observed across retinal subtypes are poorly understood. The objective of this group was to develop a method to capture dendrite dynamics and arbor remodeling of defined retinal subtypes in mice. Identifying cell type-specific mechanisms of dendrite patterning requires methods to visualize and measure dendrite behaviors of cells of interest. Organotypic cultures of mouse retinas are well suited for live-cell imaging studies using confocal or multiphoton microscopy. Developing retinas are dissected and mounted into a flat explant that can be imaged for several hours in a recording chamber or cultured over a few days with limited effects on the circuitry6,7. Live retinal neurons can be labeled by a variety of techniques, including dye-filling by electrodes, electroporation, biolistic delivery of particles coated with lipophilic dyes or plasmids encoding fluorescent proteins (e.g., Gene Gun), as well as genetically encoded cell labels7,8,9,10. However, these approaches are inefficient for imaging dendrite dynamics of specific retinal subtypes. For instance, dye-filling methods are low-throughput and require electrophysiology apparatus and additional genetic labels to reliably target cells of interest. Moreover, the strong fluorescence signals in the soma can obscure nearby dendrites.
Biolistic gene delivery methods can simultaneously label dozens of cells, but steps involving high-pressure particle delivery and overnight incubation of isolated retina can compromise cell physiology and dendritic outgrowth. This paper proposes that recent genetic tools can be employed to capture early dendrite dynamics with cell type and structural resolution, given the following experimental criteria. First, to resolve the fine branches and filopodia that dominate developing arbors, the method should label neurons with bright, fluorescent proteins that fill processes in the entire arbor. The fluorescence labeling should not fade due to photobleaching during the imaging period. A variety of fluorescent protein variants have been generated and compared for suitability for in vivo/ex vivo imaging11 based on brightness and photostability. Second, the fluorescent proteins (XFPs) must be expressed at sufficiently high levels by the earliest stage of dendrite morphogenesis, so that the narrow developmental window is not missed. In analyses of static timepoints in the mouse retina, dendrite development occurs during the first postnatal week and includes phases of outgrowth, remodeling, and stabilization10,12,13,14,15. Third, the method should lead to selective labelling or to an increased probability of labelling of the neuronal subpopulation of interest. Fourth, labelling of the target subpopulation must be sufficiently sparse so that the entire neuronal arbor can be identified and traced. Although RGC and amacrine subtypes can be distinguished by their mature morphological characteristics and IPL stratification patterns16,17,18,19,20, the challenge is to identify subtypes during development based on immature structures. This task is facilitated by the expansion of transgenic tools to label specific retinal cell types during development.
Transgenic and knock-in mouse lines in which cellular and temporal expression of fluorescent proteins or Cre is determined by gene regulatory elements are widely used to study retinal cell types13,21,22,23. Key observations on subtype-specific patterns of dendrite development have come from studies of transgenic mouse retinas at static timepoints10,14,24,25. The Cre-Lox system, in particular, enables exquisite gene manipulation and monitoring of subtypes using a variety of recombinase-dependent reporters, sensors, and optogenetic activators. These tools have led to discoveries of subtype-specific molecular programs and functional properties that underlie retinal circuit assembly26,27,28,29,30. However, they have yet to be leveraged to study subtype-specific dendrite dynamics in the mouse retina. Low-density labeling can be achieved by combining Cre mouse lines with transgenes introduced by electroporation or by recombinant AAVs. If available, tamoxifen-inducible Cre lines or intersectional genetic strategies can also be used. Finally, the cell should be labelled in a minimally invasive manner and imaged using acquisition parameters so as not to compromise the tissue or interfere with cellular function required for dendrite morphogenesis.
Presented here is a method to apply transgenic tools and confocal microscopy to investigate dendrite dynamics in live mouse retinal explants. Cre transgenic mouse lines have been combined with AAV vectors that express fluorescent proteins upon Cre recombination, which allows for sparse labeling of retinal cells of interest. Commercially available AAVs are delivered to neonatal retina by intravitreal injections. This paper demonstrates that AAVs produce significantly high and cell type-specific fluorescent expression by 4 dpi, allowing access to postnatal time points. To illustrate this approach, the cholinergic "starburst" amacrine interneuron was labelled by delivering Brainbow AAV in neonatal mice expressing the choline acetyltransferase (ChAT)-internal ribosome entry site (IRES)-Cre transgene, which is active in the early postnatal retina31,32. Starburst amacrine cells develop a stereotyped and radial arbor morphology that is shaped by dendrite self-avoidance mediated by the clustered protocadherins33,34. This paper shows that the resolution of starburst dendrites and filopodia is significantly improved by XFPs to the plasma membrane with the addition of the CAAX motif which undergoes farnesylation, as used for the Brainbow AAVs31. Finally, time-lapse imaging and post-processing protocols have been determined that produce high-quality images amenable for dendrite reconstruction and morphometric quantification. This protocol can be used to identify factors controlling dendrite morphogenesis and to capture several cellular behaviors in the intact retina.
NOTE: This protocol spans 2 days with a minimum period of 4-5 days for viral transduction between experimental days (Figure 1A). Animal experiments are performed in accordance with the Canadian Council on Animal Care Guidelines for Use of Animals in Research and Laboratory Animal Care under protocols approved by the Laboratory of Animal Services Animal Use and Care Committee at the Hospital for Sick Children (Toronto, Canada).
1. Preparations for the neonatal AAV injections and imaging experiments
Figure 1: Experimental overview. (A) This protocol spans 2 days of experiments with a minimum of 4-5-day infection period between experimental days. Intraocular injections are performed on neonatal mice no older than postnatal day 3. Retinas are then dissected, flat-mounted, and live-imaged to capture the desired developmental window. Labelled cells can be imaged any time after the required 4-5 days needed for viral expression, as there are no apparent effects of prolonged AAV expression on dendrite morphology. (B) Cre-dependent Brainbow AAV vectors (BBV) are injected into animals expressing Cre31. In this study, ChAT-Cre knock-in mice were used to drive Cre recombination in starburst amacrine cells. The two BBVs encode modified eYFP or tagBFP, or mCherry and mTFP, which terminate in a CAAX motif that is sequentially farnesylated for membrane localization. Lox sites are depicted with triangles. The vectors express either farnesylated XFPs in a stochastic and combinatorial manner dependent on Cre recombination. The EF1α promoter includes regulatory elements from the elongation factor 1α gene. W represents elements from the woodchuck hepatitis virus posttranscriptional regulatory element, and pA indicates the polyadenylation sequence. (C) The excitation and emission spectra of mCherry and eYFP, the BBV fluorophores imaged in this study. When live-imaging multiple fluorescent proteins, the detection parameters must be arranged to adequately separate emission spectra into distinct channels. Abbreviations: AAV = adeno-associated virus; BBV = Brainbow AAV; ChAT = choline acetyltransferase; iRES = internal ribosome entry site; eYFP = enhanced yellow fluorescent protein; iTR = inverted terminal repeat; tagBP = Tag-blue fluorescent protein; mCherry = monomeric Cherry; mTFP = teal fluorescent protein; XFP = any fluorescent protein; EF1α= elongation factor 1 alpha. Please click here to view a larger version of this figure.
2. Intravitreal injections of AAVs in neonatal mice
Figure 2: Neonatal intraocular injections. (A) Backfilled micropipette shows the shape of the pipette tip when sealed (top) and after the tip is unsealed (bottom, left). Pico-injection pressure of 6-8 psi and pulse time of 600-800 ms produces a 600 µm diameter droplet (bottom, right). Scale bar = 1 mm.(B) Anesthetized P0 pup under 16x magnification. The fused eyelid junction (white) is slit open using a sharp 30 G needle. Scale bar = 2 mm. (C) Light pressure applied to the eye exposes the cornea; scale bar = 2 mm. Zoomed section (red) shows the small hole at the cornea-sclera junction (yellow) created with a 30 G needle; scale bar = 0.5 mm. (D) Withdrawal of the pipette tip after injection (left). Fast Green dye in the AAV solution appears as blue-grey through the pupil (middle), as compared to the light pupil color before injection (right). Scale bar = 1 mm. (E) After 4 days, the eyelid has healed and fused shut (left); scale bar = 2 mm. Upon enucleation, the healed injection site is visible (yellow); scale bar = 1 mm. Note the location of the injection site at the border between the cornea and sclera. Please click here to view a larger version of this figure.
3. Retinal dissections for imaging experiment
4. Retinal flat-mount preparation
Figure 3: Retinal dissection and flat-mounting onto mixed cellulose ester filter membranes. (A) Left, an enucleated eye is stabilized by grasping the optic nerve with Dumont #5 forceps (left). A small hole is created in the center of the cornea using a 30 G needle (center). Micro-dissection scissors are used to cut the cornea into 4 equal flaps (right). Scale bar = 1 mm. (B) Dissected retina with the sclera peeled off using two Dumont #5 forceps (left) and with the lens removed (center). Retina with 4 equal cuts halfway into the retina (right). Scale bar = 1 mm. (C) Handling of retina with two fine paintbrushes (size 3/0, left). Retina flipped with retinal ganglion cells side down onto a paintbrush (center) and lifted out of aCSF, making sure the water tension does not tear the retina (right). Scale bar = 2 mm. (D) Grey MCE membrane disc placed onto a white filter paper (left). A droplet of aCSF on the MCE disc (right). Scale bar = 1 cm. (E) After floating the retinas into the droplet and positioning them, create a water bridge with the white filter paper to wick the aCSF, pulling the retina onto the charged MCE paper (left); scale bar = 1 cm. Zoomed image of the MCE membrane (red) shows 2 retinas mounted with retinal ganglion cells side up (right); scale bar = 2 mm. One retina is outlined in white. Abbreviations: MCE = mixed cellulose ester; aCSF = artificial cerebrospinal fluid. Please click here to view a larger version of this figure.
5. Time-lapse confocal imaging of live whole-mount retina preparations
Figure 4: Live-cell imaging incubation chamber setup. (A) Live-imaging incubation apparatus showing heating, solution, and imaging components. Dual heater includes a heated incubation chamber platform (back circle with blue connector electrodes) and an in-line solution heater. (B) Schematic diagram of 4A. Retinal flat-mount (red) on MCE membrane (grey) is placed in the incubation chamber. The in-line solution heater is connected to a solution pump (not pictured in 4A). Imaging chamber dimensions allow a good working area for the dipping objective nose. (C) 25x view a retinal explant injected with 0.23-0.45 µL of 4 × 1012 GC/mL of AAV dilution; scale bar = 100 µm. Dense labeling of cells often surrounds the optic nerve head (dashed line, bottom right); scale bar = 50 µm. Abbreviations: MCE = mixed cellulose ester; GC = genome copies; mCherry = monomeric Cherry; eYFP = enhanced yellow fluorescent protein. Please click here to view a larger version of this figure.
6. Image deconvolution and post-processing in ImageJ
Using the above protocol, a high-resolution 3D video of developing starburst cell dendrites was acquired, deconvolved, and corrected for 3D drift. Z-plane maximum projections were produced to make 2D videos for analysis (Supplementary Video 1, Figure 5A). 3D deconvolution of each time point increased the resolution of fine filopodia projections (Figure 5B,C). Fine filopodia protrusions are a feature of developing retinal dendrites36 and should be visible during imaging. AAV transfection will produce variability in cell labeling density and fluorescence intensity. Thus, screen the labelled tissue to select cells with high fluorescent signals for imaging and producing high-quality videos. Increasing the laser power to detect dimly labelled cells is not recommended, as it can lead to rapid photobleaching and introduce high noise compared to the signal. Sufficiently bright cells are visible within 5 dpi. By 12 dpi and beyond, prolonged AAV infection periods do not necessarily lead to increased fluorescence of labeled cells (Figure 5D).
Excessive fluorescence and neurite crowding from dense cell labelling affects image quality and can hinder single-cell reconstructions. Optimization of the AAV dilution and volume is required to achieve the desired degree of isolated and fluorescently labeled arbors that are separable from the rest of the target cell population. Here, 9.2 × 108-1.8 × 109 viral GCs were injected per eye to target starburst amacrine cells (0.23-0.45 µL of AAV with a 4 × 1012 GC/mL titer). The absence of a fluorescent signal might reflect an inefficient injection technique. While injecting, leakage of the blue AAV solution from the injection site indicates that the virus is not delivered to the retina, or that the injection volume or pressure is too high. Excess injection volume or pressure can cause retinal detachment and/or loss of ocular pressure, damaging the retinal cells and reducing cell-labeling efficiency. Both issues can be resolved with practice and optimization of the injection technique. Other potential reasons for the lack of signal include degradation of the AAVs from improper storage or insufficient Cre expression because the Cre transgene is not active during the period of AAV transfection.
Once videos are deconvolved, dynamic analyses, such as calculating rates of branch addition, retraction, or stabilization, can be performed. Additionally, conventional static analysis can be performed on each timeframe, including neuron reconstruction and morphometric quantifications such as total branch length, branch angles, branch order, or number of terminal branch points. The result of this protocol is a time series of high-resolution 3D image stacks. Most 3D neurite dynamic videos are manually quantified as a maximum projection using an open-source image visualization software such as ImageJ37. Another open-source tool, Vaa3D38, has been developed specifically for visualization of large volumes. If videos are to be analyzed in 3D, use of a 3D + time visualizer such as Vaa3D is recommended. ImageJ and Vaa3D allow direct access to the pixels or voxels in the image, but often neuron reconstructions are created by converting pixel data into skeletonized tree reconstructions. Automatic or semi-automatic neuron reconstructions for single time points can be performed with open-source39,40,41 and proprietary software. To analyze time-lapse reconstructions, each point on the reconstruction must be linked to the previous and the subsequent time points. Aligning complex dendritic morphologies over time, which can be encoded by upwards of 500 data points, remains a challenging problem. Many tools are available, with different strengths and limitations, and they must be selected to suit the analyses needed for the study.
Figure 5: Representative results after neonatal intraocular injection, time-lapse imaging, and deconvolution. (A) Maximum projections of deconvolved time-lapse imaging series (h:min) of P6 starburst amacrine cell 5 days postAAV injection. Fine filopodia dynamics can now be analyzed using conventional ImageJ tools. An area of dendritic refinement (red box) and an area of dendritic outgrowth (green box) are highlighted. (B, C) Single P6 starburst amacrine cell labelled with membrane-tagged eYFP 5 days postAAV injection (dpi) shows bright single-cell labelling. Scale bars for upper panels = 50 µm; scale bars for lower panels = 25 µm. Before (A) and after (B) deconvolution with ImageJ. Insets (red) show deblurring as a result of successful deconvolution. (D) P6 starburst amacrine cell 5dpi (left) compared to P12 starburst cell 11 dpi shows similar levels of fluorescent protein expression. Increasing AAV incubation times do not increase fluorescent signal. The fluorescent signals do not decline with longer AAV infection periods. Identical acquisition and postprocessing parameters were applied to both images. Increased branch thickness and varicosities observed at P12 are normal features of maturing starburst cells and not a labelling or imaging artifact. Scale bars = 10 µm. Abbreviations: AAV = adeno-associated virus; eYFP = enhanced yellow fluorescent protein; dpi = days postinfection. Please click here to view a larger version of this figure.
Figure 6: Considerations for Cre line selection and fluorescent protein localization.
(A–D) Live P11 retinal ganglion cells imaged at 9 dpi of the BBV injected into Vglut2-iRES-Cre knock-in mice, in which Cre is selectively expressed in the RGC population. (A) JAM-B RGC identified by its characteristic asymmetric morphology24. (B–D) Distinct RGC subtypes that differ in their dendrite stratification patterns. (E) Image of live P11 starburst amacrine cell biolistically transfected with cytosolic mCherry and captured with spinning disk confocal at 512 x 512 pixels. The cytosolic XFP leads to high fluorescence signal in the soma relative to the fine dendritic protrusions. Out-of-focus light from the soma causes high background fluorescence when imaging small proximal projections (inset in red box above is shown below). (F) Image of live P11 starburst amacrine cell transfected with membrane-targeted eYFP and captured by confocal laser scanning at 1024 x 1024 pixels. Note the fluorescent membrane ring around the soma, the improved signal-to-noise ratio, and quality of the fine projections proximal to the soma that are produced by membrane-targeted fluorescent proteins (inset). Scale bars = 50 µm and for lower panels of E and F = 5 µm. Abbreviations: IRES = internal ribosome entry site; BBV = Brainbow adeno-associated virus; Vglut2 = vesicular glutamate transporter 2; XFP = any fluorescent protein; eYFP = enhanced yellow fluorescent protein; mCherry = monomeric Cherry; RGC = retinal ganglion cells; JAM-B = junction adhesion molecule B. Please click here to view a larger version of this figure.
Supplementary Video 1: Time-lapse video of P6 developing starburst amacrine dendrites, 5 days postinjection. Video time-step is 2 min. Deconvolution and 3D drift correction were applied using ImageJ. Top yellow boxes highlight areas of outgrowth, and the lower box outlines a region of transient filopodia outgrowth, self-contact, and retraction. Please click here to download this Video.
Supplemental File 1: ImageJ macro for batch Parallel Iterative Deconvolution. The macro runs 25 iterations of the Wiener Filter Preconditioned Landweber (WPL) iterative algorithm. Please click here to download this File.
This video demonstrates an experimental pipeline that utilizes existing genetic tools to image dendrite dynamics of developing retinal neurons with confocal live-imaging. Also demonstrated are intraocular injections of Cre-dependent AAVs encoding membrane-targeted fluorescent proteins into neonatal mice. Single cells of genetically targeted populations are brightly labelled as early as 4-5 dpi. Retinal flat-mounts were prepared for standard imaging chambers to perform live-cell confocal imaging. This method produces high-resolution time-lapse videos of single cells and their fine projections. Small projections are resolved and quantified using deconvolution and postprocessing algorithms available through open-source software, including ImageJ, Vaa3D, and ShuTu, as well as licensed software available from Imaris and MBF Bioscience. As this pipeline is modular, each protocol section can be altered to fit the objectives of the study. These modular elements are discussed below and include: 1) Cre-line selection, 2) choice of fluorescent protein and viral construct, 3) gene delivery methods, and 4) imaging method.
This technique uses Cre transgenic lines for genetic access to retinal cell subpopulations. Cre must be active postnatally and expressed across the cell population at the time of injection to increase the probability of viral infection and cell labeling. In this report, ChAT-Cre was used to target starburst amacrine cells, and the Vglut2-Cre line was used to target developing RGCs42,43 (Figure 6). Cre-dependent AAV injection into Vglut2-IRES-Cre knock-in mice labelled a variety of RGCs, including the junction adhesion molecule B cell (Figure 6A) and bi-stratified RGCs (Figure 6B, C). Alternatively, new designs of AAVs with synthetic promoters that drive cell type-specific expression could eliminate the need for Cre transgenic lines44. Another consideration for efficient and bright labeling suitable for live-imaging is the minimum time required for transfection and expression, which can vary depending on the AAV serotype, tropism, and titer45. In these studies, as AAV-mediated labeling requires a minimum of 4-5 dpi for XFP expression, this method is not suitable for accessing early postnatal timepoints. To capture early timepoints (e.g., P0-P4), intraocular injections can be performed in utero in embryonic animals, as done for in utero electroporation46. In this group's studies of starburst dendrite development, the initial sparse recombination pattern of ChAT-Cre was exploited to label single starburst amacrine cells at P0-P4 using a mouse transgenic Cre reporter, Rosa-mTmG27. Finally, this AAV retinal injection protocol can be used to label adult cell populations, based on the confirmation of the persistence of fluorescent labeling 3 months after injection without deleterious effects on starburst cell morphology34.
This pipeline also allows for flexibility in viral construct selection. To capture dendrite dynamics, a variety of fluorescent reporter proteins can be used, including proteins that localize to specific subcellular structures, proteins of interest, or report functional changes such as actin dynamics (e.g., LifeAct) and calcium signals (e.g., GCaMP). Any commercially available or cloned AAV vector can be employed, and online tools such as fpbase.org should be referenced for brightness and photostability. Here, Brainbow viral vectors encoding fluorescent proteins with a H-Ras farnesylation CAAX motif were used for membrane localization. Early in protocol development, cytosolic localization of XPFs was found to be not ideal for studying fine neurite morphology, with an oversaturation of signals from the soma and poor labeling of fine branches (Figure 6E). By comparison, membrane-targeted fluorescent proteins were shown to label and resolve fine dendritic protrusions (Figure 6E,F). Another consideration is the size, design, and complexity of the viral construct, which can affect the expression time. For example, AAV-CAG-FLEx-mClover3-CAAX was generated, which expresses one XFP in a Cre-dependent manner. This construct has a simpler design, and results in efficient expression by 4 dpi. Together, the diverse options for Cre lines, AAV designs, and fluorescent protein reporters that are widely available from repositories (e.g., JAX, Addgene, and Viral Vector Cores) render this pipeline adaptable to a variety of studies of cell types and developmental phenomena in the retina.
Although this protocol details intraocular AAV injections, other gene delivery methods are available such as plasmid electroporation46 and biolistic gene delivery (e.g., Gene Gun)7. Electroporation requires applying an electric pulse, and biolistic gene delivery requires ex vivo incubation of retinal explants. AAV labeling is less invasive than both these methods and permits acute preparations of retina explants just prior to imaging. Compared to biolistic gene delivery (Figure 6E,F), AAV injections resulted in enhanced tissue viability that was better suited for continuous acquisition needed to tracking neurite dynamics. With proper technique, AAV labeling poses little to no damage to the retina, as judged by the health of the tissue at the time of dissection. Intravitreal injections primarily infect cells within the ganglion cell layer and the inner nuclear layer, such as the RGCs and amacrine cells. Many dozens of starburst amacrine cells are typically labeled, with an increased density of labelled cells around the optic nerve head (Figure 4C). However, with all three transfection methods, optic nerve severing is unavoidable to obtain retinal explants and will lead to RGC degeneration. Despite optic nerve severing, studies report viable retinal explants from a variety of vertebrate models for 36 h and up to 6 days postenucleation5,6,7,47,48.
Lastly, the utility of confocal microscopy to capture dendrite dynamics has been demonstrated. Typically, an imaging session spans 2-4 h, and is concluded before tissue degradation or neurite blebbing is observed. Imaging sessions up to 6 h have been conducted; however, the upper limit has not been systematically tested. Areas might undergo photobleaching due to prolonged imaging, but cells in other fields-of-view in the explant remain viable for live-imaging. This method can also be extended to multiphoton or lightsheet microscopy to image neuronal morphology in deeper layers and larger volumes. Multiphoton imaging has been performed to study neurite dynamics in mouse retina and is better suited for studying cells in deeper retinal lamina (e.g., horizontal or photoreceptor cells)49. Recently, live-cell lightsheet microscopy was used to capture retinal angiogenesis50, offering a new avenue for live-imaging of morphogenesis in whole retina. Live-cell lightsheet microscopy could be used to study neural circuit assembly at larger scales, such as axon-dendrite targeting. Multicolor live-imaging is another application of this pipeline that can be used to investigate cell-cell interactions, such as the influence of neighboring cells on dendrite development or other developmental phenomena such as tiling of retinal cells including RGC subtypes1, microglia, and astrocytes.
In conclusion, a challenging aspect of developmental studies is gaining access at these critical timepoints. This protocol provides a method to visualize morphogenesis that occurs during a specific temporal window. The pipeline combines existing tools and techniques to genetically target cell populations and express membrane-targeted fluorescent proteins. Acute retinal flat-mount preparations maintain viability and fluorescent signals for live-cell confocal imaging over several hours. Transient and dynamic aspects of dendrite development are captured in 3D videos and are post-processed using open-source software. The ability to capture high-resolution 3D videos is essential in investigating dynamic developmental processes.
The authors have nothing to disclose.
We thank Madison Gray for giving me a hand when I didn't have any. This research was supported by an NSERC Discovery Grant (RGPIN-2016-06128), a Sloan Fellowship in Neuroscience and a Canada Research Chair Tier 2 (to J.L.L). S. Ing-Esteves was supported by the Vision Science Research Program and NSERC Postgraduate Scholarships-Doctoral.
Addgene viral prep #45185-AAV9 | |||
Addgene viral prep #45186-AAV9 | |||
Dissection tools | |||
Cellulose filter paper | Whatman | 1001-070 | |
Dumont #5 fine forceps | FST | 11252-20 | Two Dumont #5 forceps are required for retinal micro-dissection |
Dumont forceps | VWR | 82027-426 | |
Fine Scissors | FST | 14058-09 | |
Mixed cellulose ester membrane (MCE) filter papers, hydrophilic, 0.45 µm pore size | Millipore | HABG01 300 | |
Petri Dish, 50 × 15 mm | VWR | 470313-352 | |
Polyethylene disposable transfer pipette | VWR | 470225-034 | |
Round tip paint brush, size 3/0 | Conventional art supply store | Two size 3/0 paint brushes (or smaller) are required for retinal flat-mounting | |
Surgical Scissors | FST | 14007-14 | |
Vannas Spring Scissors – 2.5 mm Cutting Edge | FST | 15000-08 | |
Live-imaging incubation system | |||
Chamber polyethylene tubing, PE-160 10' | Warner Instruments | 64-0755 | |
Dual channel heater controller, Model TC-344C | Warner Instruments | 64-2401 | |
HC FLUOTAR L 25x/0.95 W VISIR dipping objective | Leica | 15506374 | |
Heater controller cable | Warner Instruments | CC-28 | |
Large bath incubation chamber with slice support | Warner Instruments | RC-27L | |
MPII Mini-Peristaltic Pump | Harvard Apparatus | 70-2027 | |
PM-6D Magnetic Heated Platform (incubation chamber heater) | Warner Instruments | PM-6D | |
Pump Head Tubing Pieces For MPII Mini-Peristaltic Pump | Harvard Apparatus | 55-4148 | |
Sample anchor (Harps) | Warner Instruments | 64-0260 | Sample anchor must be compatible with incubation chamber |
Sloflo In-line Solution Heater | Warner Instruments | SF-28 | |
Neonatal Injections | |||
10 µL Microliter Syringe Series 700, Removable Needle | Hamilton Company | 80314 | |
30 G Hypodermic Needles (0.5 inch) | BD PrecisionGlide | 305106 | |
4 inch thinwall glass capillary, no filament (1.0 mm outer diameter/0.75 mm) | WPI World Precision Instruments | TW100-4 | |
Ethanol 99.8% (to dilute to 70% with double-distilled water [ddH2O]) | Sigma-Aldrich | V001229 | |
AAV9.hEF1a.lox.TagBFP. lox.eYFP.lox.WPRE.hGH-InvBYF | Penn Vector Core | AV-9-PV2453 | Addgene Plasmid #45185 |
AAV9.hEF1a.lox.mCherry.lox.mTFP 1.lox.WPRE.hGH-InvCheTF |
Penn Vector Core | AV-9-PV2454 | Addgene Plasmid #45186 |
ChAT-IRES-Cre knock-in transgenic mouse line | The Jackson Laboratory | 6410 | |
Fast Green FCF Dye content ≥85 % | Sigma-Aldrich | F7252-25G | |
Flaming/Brown Micropipette Puller, model P-97 | Sutter Instrument Co. | P-97 | |
Green tattoo paste | Ketchum MFG Co | 329A | |
Phosphate-Buffered Saline, pH 7.4, liquid, sterile-filtered, suitable for cell culture | Sigma-Aldrich | 806552 | |
Pneumatic PicoPump | WPI World Precision Instruments | PV-820 | |
Oxygenated artifiial cerebrospinal fluid (aCSF) Reagents | |||
Calcium chloride dihydrate (CaCl2·2H2O) | Sigma-Aldrich | C7902 | |
Carbogen (5% CO2, 95% O2) | AirGas | X02OX95C2003102 | Supplier may vary depending on region |
D-(+)-Glucose | Sigma-Aldrich | G7021 | |
HEPES, Free Acid | Bio Basic | HB0264 | |
Hydrochloric acid solution, 1 N | Sigma-Aldrich | H9892 | |
Magnesium chloride hexahydrate (MgCl2·6H2O) | Sigma-Aldrich | M2670 | |
pH-Test strips (6.0-7.7) | VWR | BDH35317.604 | |
Potassium chloride (KCl) | Sigma-Aldrich | P9541 | |
Sodium chloride (NaCl) | Bio Basic | DB0483 | |
Sodium phosphate monobasic (NaH2PO4) | Sigma-Aldrich | RDD007 | |
Software | |||
ImageJ | National Institutes of Health (NIH) | Open source |