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ORIGINAL RESEARCH article

Front. Mol. Neurosci., 09 January 2019
Sec. Methods and Model Organisms
This article is part of the Research Topic Methods and Model Organisms Editors' Picks 2021 View all 10 articles

Expression and Roles of the Immunoglobulin Superfamily Recognition Molecule Sidekick1 in Mouse Retina

  • Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA, United States

Processes of >100 types of interneurons (bipolar and amacrine cells) and projection neurons (retinal ganglion cells, RGCs) form specific and stereotyped patterns of connections in the inner plexiform layer (IPL) of the mouse retina. Four closely related homophilic immunoglobulin superfamily recognition molecules (Sidekick [Sdk] 1, Sdk 2, Dscam, and DscamL1) have been shown to play roles in patterning neuronal arbors and connections in chick retina, and all but Sdk1 have been shown to play related roles in mice. Here, we compare patterns of Sdk1 and Sdk2 expression in mouse retina and use genetic methods to assess roles of Sdk1. In adult retina, 3 neuronal types express sdk1 but not sdk2 at detectable levels, 5 express sdk2 but not sdk1 and 3 express both. Patterns of gene expression and protein localization at or near synapses are established during the first postnatal week. Dendrites of amacrine cells and RGCs that express sdk1 but not sdk2 arborize in the same narrow stratum in the center of the IPL. In the absence of Sdk1, this laminar restriction is degraded. Overexpression of sdk1 in developing cells that normally express sdk2 reorients their dendrites to resemble those of endogenously Sdk1-positive cells, indicating that Sdk1 plays an instructive role in patterning the IPL. Sdk1 fails to affect arbors when introduced after they are mature, suggesting that it is required to form but not maintain laminar restrictions. The effect of ectopically expressed sdk1 requires the presence of endogenous Sdk1, suggesting that the effect requires homophilic interactions among Sdk1-positive neurites. Together with previous results on Sdk2, Dscam, DscamL1, as well as the related Contactins, our results support the idea that an elaborate immunoglobulin superfamily code plays a prominent role in establishing neural circuits in the retina by means of tightly regulated cell type-specific expression and homophilically restricted intercellular interactions.

Introduction

Over the past decade, the mouse retina has emerged as a valuable model for investigating how “hard-wired” neural circuits are assembled. In one of its two synaptic layers, the inner plexiform layer (IPL), neurites of >50 types of interneurons (bipolar and amacrine cells) form synapses on dendrites of >40 types of output neurons (retinal ganglion cells, RGCs) during the first two postnatal weeks (reviewed in Sanes and Zipursky, 2010; Hoon et al., 2014). The specific and stereotyped patterns of these connections endow each RGC type with selective sensitivity to specific visual features, such as motion in a particular direction, edges, or color contrasts (reviewed in Masland, 2012; Sanes and Masland, 2015). Analysis of these circuits has implicated a variety of recognition molecules in the cell-cell interactions that establish them; they include members of the immunoglobulin and cadherin superfamilies, the semaphorins and plexins, and others (e.g., Fuerst et al., 2008, 2009, 2012; Matsuoka et al., 2011; Kay et al., 2012; Lefebvre et al., 2012; Sun et al., 2013; Duan et al., 2014, 2018; Krishnaswamy et al., 2015; Peng et al., 2017; Liu et al., 2018; reviewed in Zhang et al., 2017). Together, these studies demonstrate that numerous recognition molecules act together to pattern neural circuitry in the IPL. Since all of these molecules are also expressed by neuronal subsets throughout the brain, insights obtained in studies of the retina are likely to be relevant to the central nervous system generally.

In this study, we focus on retinal expression and roles of two closely related immunoglobulin superfamily recognition molecules that have been implicated in retinal development, Sidekick 1 and 2 (Sdk1 and Sdk2). We isolated the Sdks in a search for genes expressed by subsets of RGCs in the developing chick retina (Yamagata et al., 2002). We named them for the related Sdk gene in Drosophila, which was identified in a screen for genes that affect patterning of the fly eye (Nguyen et al., 1997) and was recently shown to be required for synaptic targeting of photoreceptors (Astigarraga et al., 2018). The Sdks are large (~250 kD), proteins, with six immunoglobulin domains, thirteen fibronectin repeats, a single transmembrane domain, and a cytoplasmic domain ending in a PDZ domain-binding motif. They are homophilic adhesion molecules (Yamagata et al., 2002; Hayashi et al., 2005; Yamagata and Sanes, 2008). Structural studies have shown that the immunoglobulin domains mediate homophilic adhesion, and defined critical residues required for adhesion per se and for homophilic specificity (Goodman et al., 2016; Tang et al., 2018). Their PDZ-binding motif binds scaffolding proteins of the MAGI family, an interaction that contributes to their concentration at synaptic sites (Yamagata and Sanes, 2010).

In chick retina, the Sdks are expressed by non-overlapping subsets of retinal neurons, and required for restriction of neuronal processes to specific strata within the IPL (Yamagata et al., 2002; Yamagata and Sanes, 2008). Their closest relatives, two Dscams (Dscam and DscamL) and six contactins (Cntn1-6) are also expressed by neuronal subsets in chick retina and play related roles, leading to the suggestion that they comprise an “immunoglobulin superfamily code” for laminar specificity (Yamagata and Sanes, 2008, 2012a).

Recently, we analyzed expression and roles of Sdk2 in mice (Krishnaswamy et al., 2015). We found that sdk2 is expressed by restricted subsets of retinal neurons, including an unusual glutamatergic amacrine interneuron called VGlut3-positive amacrine cells (VG3-ACs) (Haverkamp and Wässle, 2004; Johnson et al., 2004; Grimes et al., 2011) and an RGC type called W3B, which has the unusual property of responding when the timing of the movement of a small object differs from that of the background, but not when they coincide (Kim et al., 2010, 2015; Zhang et al., 2012; Lee et al., 2014; Krishnaswamy et al., 2015). We showed that VG3-ACs synapse on W3B-RGCs, that VG3 input is essential for W3B-RGC function, that Sdk2 is required for restriction of VG3-AC and W3B-RGC processes to appropriate strata, and that the number and strength of functional connections between VG3-ACs and W3B-RGCs are dramatically reduced in the absence of Sdk2 (Krishnaswamy et al., 2015).

Here, we have analyzed expression and roles of Sdk1 in mouse retina. Confirming initial observations (Krishnaswamy et al., 2015), we show that sdk1, like sdk2, is expressed by a small number of specific interneuronal and RGC types. As in chick, types that express sdk1 and sdk2 are largely non-overlapping, but we also found three types that express both sdks. Sdk1, like sdk2, in mice and both sdks in chick, is expressed by interneurons and RGCs that arborize in the same strata, and neurites of these cells exhibit decreased laminar restriction in the absence of Sdk1. Finally, we use ectopic overexpression of sdk1 in cells that normally express sdk2 to demonstrate that it plays an instructive role in laminar targeting and that it does so by a homophilic mechanism.

Materials and Methods

Animals

Animals were used in accordance with NIH guidelines and protocols approved by Institutional Animal Use and Care Committee at Harvard University. Production of mouse lines by genome editing was performed in the Genome Modification Facility, Harvard University.

To generate the sdk1CG allele, CreGFP was amplified from Addgene plasmid #13766, and inserted at the translational start site of the Sdk1 gene using CRISPR/Cas9 nickase-mediated genome engineering (Ran et al., 2013; Wang et al., 2013). The targeting vector was modified from that reported previously (Krishnaswamy et al., 2015) by substituting CreGFP for CreERT2. The template DNA sequences to generate the sgRNAs used to enhance homologous recombination were CGGCATGGCCCGCGCCCGGC and GGTGGCGGGCGGCGGAGTCG (see Figure S1). Two sgRNAs, the circular targeting construct, and the synthesized Cas9 nickase mRNA were injected into the cytoplasm of fertilized eggs. The indel mutant sdk1ΔN was obtained from the same injections; in these mice, the sdk1 gene was altered, but CreGFP was not inserted.

The sdk1CE (3xHA-tagged CreER) and sdk2CE (6xMYC-tagged CreER) mouse lines were described previously (Krishnaswamy et al., 2015). To generate sdk2C, two sgRNAs were designed to target the junction between Cre and ERT2 in sdk2CE, and coinjected with Cas9 nickase mRNA into sdk2CE/CE embryos. The template DNA sequences to generate the sgRNAs were GCTCTCATGTCTCCAGCAGA and GTCCCTGACGGCCGACCAGA.

To enable expression of sdk1 or sdk2 under Cre-dependent control, we generated three lines. A cassette encoding Venus and Sdk1, Venus and Sdk2, or Venus plus APEX2NES (ascorbic acid peroxidase with a nuclear localization signal), separated by tripleF2A (3 tandem repeats of foot-and-mouth disease 2A peptide sequence) was cloned into a Rosa26CAG-STOP- targeting vector (Yamagata and Sanes, 2012b) to generate Rosa-CAG-LOX-STOP-LOX-Venus-3F2A-Sdk1-WPRE-FRT-neo-FRT, Rosa-CAG-LOX-STOP-LOX-Venus-3F2A-Sdk2-WPRE-FRT-neo-FRT, or Rosa-CAG-LOX-STOP-LOX-Venus-3F2A-APEX2NES-WPRE-FRT-neo-FRT. We refer to these lines as RC-sV-Sdk1, RC-sV-Sdk2, and RC-sV-A, respectively. Homologous recombinants were selected in the V6.5 ES cell line and chimeras were generated. Germ-line chimeras were crossed to a Flp-expressing mouse (Rodríguez et al., 2000) to remove the FRT-neo-FRT sequence.

We used several Cre-dependent reporter lines interchangeably. Thy-STOP-YFP15 (referred to as STOP15) expresses YFP in a Cre-dependent manner under Thy1 regulatory elements (Buffelli et al., 2003). Ai14 expresses tdTomato in a Cre-dependent manner (Rosa26-CAG-lox-stop-lox-tdTomato) (Madisen et al., 2010). Rosa-CAG-Lox-STOP-LOX-ChR2(H134R)-tdTomato mice (Ai27) expresses cell surface-localized channelrhodopsin following excision of a stop cassette by Cre recombinase (Madisen et al., 2012). Ai14 and Ai27 lines were obtained from The Jackson Laboratory (Bar Harbor, ME). The Rosa-CAGS-LOX-CHERRY-LOX-GFP line (referred to as RC-FrePe) was obtained from S. Dymecki (Harvard University) (Dymecki et al., 2010). The Cre-dependent tdTomato line Colstd (Collagen-CAG-loxP-STOP-loxP-tdTomato-WPRE) in the type I collagen locus (Beard et al., 2006) was generated in the V6.5 ES cells, and a mouse line was established from germ-line chimeras.

The JamB-CreER line to label J-RGCs was described previously (Kim et al., 2008). ChAT-cre (Rossi et al., 2011) was from The Jackson laboratory. DAT-cre mice, in which cre is targeted to the endogenous DAT locus (Zhuang et al., 2005) was obtained from X. Zhuang (University of Chicago) via V. Murthy (Harvard University). Gbx2-CreERT2-IRES-GFP (Chen et al., 2009) was a generous gift from James Y. H. Li (University of Connecticut).

To induce recombination in CreERT2 reporter lines, animals were injected with tamoxifen as follows: P2 pups were injected with 0.5 mg tamoxifen (T5648, Sigma, St. Louis, MO) in 0.05 ml sunflower oil (S5007, Sigma). P24 animals were injected with 5 mg tamoxifen in 0.5 ml oil. In some cases, animals were injected with 1 mg tamoxifen in 0.1 ml sunflower oil at 24 and 48 h prior to sacrifice, which resulted in translocating CreERT2 protein to the nucleus, enhancing our ability to detect it.

Plasmids, Transfection, and RT-PCR

The mouse Sdk1 (long form) cDNA in pCMVscript (Clontech, Mountain View, CA) was described previously (Yamagata and Sanes, 2008). A cDNA encoding the short form of mouse Sdk1 was modified from the long form cDNA. Each plasmid was transfected to 293T cells (ATCC, Manassas, VA) with DMRIE-C (Thermo-Fisher, Waltham, MA) as described previously (Yamagata and Sanes, 2012a).

Total RNA from animals or cultured cells was isolated using illustra RNAspin Mini (GE Heathcare Life Sciences, Marlborough, MA), which uses deoxyribonuclease I to remove DNA. cDNA was generated with Superscript III (Thermo-Fisher/Invitrogen) using random or sdk1 specific primers (CTCTATGATGGAAAGGAAGGCTC) for the short form, and treated with RNase H (Thermo-Fisher). Primer sequences and predicted sizes after PCR were as follows (see Figure 1 for location of each primer set).

a. (161 bp): CCGGCGGGCGGCAAAGTTGAG, TGAGCACCAGGCGGTTCCCTTCC

b. (243 bp): TCAAAGAAGAACGGAACCAGAT, CCGCTTCCAAGAGTTGTAGTAG

c. (230 bp): AGTGATGGACAGATCAGGAGATA, ATGTCGGATTGGTGATGGTAAG

d. (228 bp): AGGTATCTCCCTGGTGCAATA, GAGCCTCAAGTTGTCCTAAGATG

e. (204 bp): GTAGGGACAGAATGGACACATC, CAGCTCACACAAGGAGGTAAG

FIGURE 1
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Figure 1. Evidence for an intracellular Sdk1 isoform. (A,B) Expression of sdk1 and localization of Sdk1 protein in retina at P30. Sections from sdk1+/CG (A) and sdk1CG/CG (B) retina were stained with antibodies to GFP (green) and Sdk1 (red). In the sdk1CG allele, CreGFP replaces the first coding exon; GFP reports on gene expression and Cre localizes GFP to the nucleus. Expression is similar in both sdk1+/CG and sdk1CG/CG retina, with positive cells in the ganglion cell layer (GCL) and INL but not the outer nuclear layer (ONL). Sdk1 is present in the inner plexiform layer (IPL) and GCL of sdk1+/CG retina. IPL staining is absent in sdk1CG/CG retina but some GCL staining persists. Staining of blood vessels (arrows) is non-specific. (C,D) In the sdk1ΔN allele, the first 46 aa of Sdk1 are deleted (see Figure S1B). As in the sdk1CG allele, Sdk1 is present in the IPL of sdk1+/ΔN retina (C) and persists in the GCL of sdk1ΔNN retina. Bar, 10μm for (A–D). (E) sdk1 transcripts, derived from entries in GenBank and the UCSC Genome browser, indicate occurrence of two 5′- and two 3′ sequences surrounding a common core. Letters a–e show positions of PCR primer pairs used in (G). (F) 5′ coding sequence of the long and short forms. The short form lacks the signal peptide and the first two Ig domains (Ig1 and Ig2) critical for adhesion. Green, signal peptide; black, sequences in long form only; red, sequences in long and short forms; blue, sequences in short form only. Its first exon encodes five amino acids (MDRSG) absent from the long form. (G) Products amplified from wildtype (wt), sdk1+/CG (+/CG), and sdk1CG/CG (CG/CG) adult retinas by RT-PCR with primers shown in (E), as well as Cre and Gapdh primers. The N-terminal region of the long form is not seen in sdk1CG/CG retina. The results suggest that both the long and short protein coding regions can have either a long or short 3′ UTR. (H) Products amplified with primer sets a–c (see E) from 293T cells transfected with plasmids encoding Sdk1 long (LF) or short forms (SF) and untransfected controls (mock). As expected (E), primer sets a and c distinguish long and short forms. (I–L) Sdk1 immunoreactivity of 293T cells transfected as in (H). Cells were stained live (I,J) or after permeabilization (K,L). Only the long form is accessible extracellularly. Bar, 10μm.

EconoTaq plus green mixture (Lucigen, Middleton, WI) was used for PCR. PCR cycles were 94°C, 2 min; 42 cycles of 94°C, 30 s; 60°C, 30 s; 72°C, 1 min + 2 s extention; 72°C, 7 min, and 4°C.

Other primer sequences were as follows.

Cre: GCATTACCGGTCGATGCAACGAGTGATGAG, GAGTGAACGAACCTGGTCGAAATCAGTGCG

mouse Gapdh: TGAAGGTCGGTGTGAACGGATTTGGC, CATGTAGGCCATGAGGTCCACCAC.

Antibodies

Antibodies used in this study were: rabbit monoclonal antibody to estrogen receptor α (ER) (Clone SP1, from Epitomics or Abcam, Cambridge, MA); goat anti-Myc (NB600-335, from Novus, Littleton, CO); rat anti-HA (3F10, from Roche Diagnostics Co., Indianapolis, IN); anti-Brn3a (clone, 5A3.2), rabbit anti-synapsin I (AB1543P), mouse anti-calretinin (clone, 6B8.2), sheep anti-tyrosine hydroxylase and goat anti-ChAT antibodies (AB144P) from Millipore (Billerica, MA); AP2 (clone, 3B5), SV2, and anti-synaptotagmin 2 (clone, ZNP1) from Developmental Studies Hybridoma Bank (Iowa City, IA); mouse anti-VGlut1 (clone, N28/9), mouse anti-pan-MAGUK (clone, N28/86), mouse anti-HCN4 (clone, N114.10), and mouse anti-Vesicular acetylcholine transporter (clone, N6/38) from NeuroMab (Davis, CA); mouse anti-protein kinase C- α (PKCα) (clone MC5) and rabbit anti-PKCα (P4334) from Sigma; rabbit anti-Opn4 from Thermo Fisher (PA1-780), mouse monoclonal antibody to neurofilament-H (phosphorylated) SMI-34 from Covance (Princeton, NJ); goat anti-Spp1 from R&D Systems (Minneapolis, MN). Rabbit antibody to Dab1 was a kind gift from Dr. Brian Howell (SUNY Upstate, Syracuse, NY). Chicken anti-GFP (Yamagata and Sanes, 2012b), rabbit anti-mCherry/RFP (Cai et al., 2013), and mouse antibodies to mouse Sdk1 or Sdk2 (Krishnaswamy et al., 2015) were generated in our laboratory. Nuclei were labeled with NeuroTrace 640 (ThermoFisher/Invitrogen). Secondary antibodies conjugated to dyes were from Jackson ImmunoResearch (West Grove, PA).

Immunostaining and in situ Hybridization

For immunostaining, retinas were fixed with 4% (w/v) paraformaldehyde/PBS overnight at 4°C, sunk in 15%(w/v) and 30%(w/v) sucrose/PBS, and mounted in Tissue Freezing Medium (EM Sciences, Hatfield, PA). Sections were cut in a cryostat, permeabilized with 0.1% (w/v) TritonX-100/PBS for 5 min at room temperature, blocked with 5% (w/v) skim milk/PBS for 30 min at room temperature, incubated with appropriate antibodies overnight, rinsed, and incubated with appropriate secondary antibodies. After rinsing with PBS, sections were mounted in Fluoro-Gel (Electron Microscopy Sciences, Hatfield, PA, USA) and imaged with a Zeiss Meta510 confocal microscope (Oberkochen, Germany).

For double immunostaining with two mouse antibodies, we used the Zenon Horseradish Peroxidase Mouse IgG1 Labeling Kit (Life Technologies, Grand Island, NY) to label one of them, and detected reaction product with the TSA-Plus kit (Perkin-Elmer Life Sciences, Waltham, MA). For immunodetection of epitope-tagged CreER, cryosections were permeabilized in absolute methanol at −20°C overnight, treated with Image-iT FX signal enhancer (Life Technologies) by the manufacturer's protocol, and blocked with 5%(w/v) skim milk (BioRad, Hercules, CA) in PBS for 30 min at room temperature. The antibodies were diluted in Renoir Red diluent (BioCare Medical, Concord, CA), incubated at 4°C for 48 h, rinsed, and detected with secondary antibodies that had been preabsorbed with acetone powders prepared from mouse brain.

Whole-mount staining with antibodies was done as follows. Retinae were fixed with 4% (w/v) paraformaldehyde /PBS overnight at 4°C, and treated with 0.1% (w/v) TritonX-100/PBS for 30 min at 4°C. Tissues were then blocked with 1%(w/v) bovine serum albumin/PBS overnight, incubated with appropriate primary antibodies in 0.1% (w/v) TritonX-100/ 0.1%(w/v) bovine serum albumin/PBS for 48 h, rinsed with 0.1% (w/v) TritonX-100/PBS for 3 h, incubated with secondary antibodies in 0.1% (w/v) TritonX-100/ 0.1%(w/v) bovine serum albumin/PBS overnight, rinsed with 0.1% (w/v) TritonX-100/PBS overnight, mounted in glycerol-based VECTASHIELD (Vector labs, Burlingame, CA), placed on black nitrocellulose membranes (HABG01300, Millipore), and imaged with a Zeiss Meta510 confocal microscope. When anti-ER antibody was used, the retina was fixed with 4% (w/v) paraformaldehyde /PBS overnight at 4°C, and then placed in 0.1% (w/v) TritonX-100/PBS for 30 min at 4°C, 30%(v/v) methanol/0.1% (w/v) TritonX-100 for 30 min at 4°C, 50%(v/v) methanol/0.1% (w/v) TritonX-100 for 30 min at 4°C, 70%(v/v) methanol/0.1% (w/v) TritonX-100 for 30 min at 4°C, 100%(v/v) methanol overnight at −20°C, 70%(v/v) methanol/0.1% (w/v) TritonX-100 for 30 min at 4°C, 50%(v/v) methanol/0.1% (w/v) TritonX-100 for 30 min at 4°C, 30%(v/v) methanol/0.1% (w/v) TritonX-100 for 30 min at 4°C, and 0.1% (w/v) TritonX-100/PBS before blocking. Incubation with anti-ER (SP1) was done in the Renoir Red diluent supplemented with 0.1% (w/v) TritonX and 0.1%(w/v) bovine serum albumin, rinsed, and processed as described above.

Live staining of transfected 293T cells was performed as previously described (Goodman et al., 2016).

For in situ hybridization, riboprobes were synthesized from Sdk1cDNA using digoxigenin-labeled UTP (Roche) and hydrolyzed to around 500 bp. Probes were detected using horseradish peroxidase conjugated sheep antibodies to digoxigenin (Roche), followed by amplification with TSA-Plus system (Yamagata and Sanes, 2012a).

Imaging and Statistical Analysis

Images were processed with Adobe Photoshop, and Image-J (Version 1.47d, Fiji). Position of spots were measured using Image-J. To generate the graphs in Figures 4F, 7G, 8C, 9D, 10J, cells were selected based on the clarity of their dendrites: we required that only a single cell be labeled in the field, and that a broad expanse of dendrite be visible in the field. Then, all GFP+ immunopositive spots that could be assigned to the cell's arbor were measured and counted. For Figure 5K, immunoreactive (calbindin+) puncta were counted.

To analyze variance of measured spots, the VAR.S function and F-tests were used in Microsoft Excel for Mac 2011 (version 14.3.1). “Variance” was calculated by VAR.S which uses this formula.

(xm-x)2(n-1)

where xm is the sample mean and n is the sample size. To statistically compare two variances, s1 and s2, the F-test was performed using the following equation.

F=s12/s22

To generate box-plots, qplot function was employed in the ggplots2 package of R 3.4.4 for MacOS X GUI 1.70 (The R foundation, https://www.r-project.org/). ANOVA and Tukey post-hoc test were performed using R 3.4.4.

Results

In a previous study (Krishnaswamy et al., 2015), we reported on the generation and use of knock-in mice in which a cDNA encoding a ligand -dependent Cre recombinase-human estrogen receptor (ER) fusion protein (CreERT2) was targeted to the first coding exon of the sdk1 and sdk2 genes, thereby disrupting the gene and generating null alleles (sdk1CE, sdk2CE). These lines allowed us to map cells that express sdk1 or sdk2 by staining for ER or for epitope tags appended to the CreER (HAtag for sdk1CE and MYCtag for sdk2CE) or by crossing to a cre-dependent reporter. We showed that sdk1 and sdk2 are expressed in largely but not entirely non-overlapping subsets of retinal cells in mice, and analyzed sdk2CE/CE mice to elucidate roles of Sdk2 in retinal circuitry. Here, we used these and newly generated alleles (Figure S1) to identify the cells that express sdk1 and to analyze roles of Sdk1 in the retina.

Multiple Sdk1 Isoforms

We used CRISPR/Cas9 technology to generate Sdk1 alleles in which CreGFP replaced CreER (sdk1CG) or in which the first 46 amino acids were deleted without introduction of a reporter (sdk1ΔN). In characterizing these alleles, we stained retinal sections with anti-Sdk1. Immunoreactivity was present in the neuropil of the IPL of wild-type and heterozygous mice (sdk1+/CG and sdk1+/ΔN) (Figures 1A,C), and this immunoreactivity was greatly attenuated in homozygotes (sdk1CG/CG and sdk1ΔNN; Figures 1B,D). Surprisingly, however, immunoreactivity persisted in some somata in the ganglion cell layer (GCL). In exploring the origin of the residual staining, we noted that Kaufman et al. (2004) reported multiple sdk1 mRNAs (6–10 kb) but only a single sdk2 mRNA (~9 kb) by Northern analysis. Moreover, public databases report sdk1 transcripts with at least two different 5′ ends and two different 3′ ends (Figure 1E). The two 5′ sequences encode different proteins. One, which we call the long form, is the previously documented Sdk1 protein, which has a signal peptide, 6 immunoglobulin (Ig) domains, 13 fibronectin type III repeats, a single-pass transmembrane, and a cytoplasmic domain. By contrast, the shorter form (e.g., IMAGE, 8861473) begins with a short exon encoding a putative initiation codon, but lacks the signal peptide and two Ig domains that are indispensable for homophilic adhesive activity of this molecule (Goodman et al., 2016) (Figure 1F). The sdk1CE, sdk1CG sdk1ΔN alleles are all predicted to inactivate the long but not the short form.

RT-PCR from retina confirmed that the long form is not expressed in sdk1CG/CG mice, but the short form-specific exon, as well as sequences common to both forms, are present in both sdk1+/CG and sdk1CG/CG mice (Figure 1G). We also generated plasmids encoding long and short forms, expressed them in heterologous cells (Figure 1H) and stained the cells with antibodies to the Sdk1 ectodomain. Both forms were readily detected in permeabilized cells, but staining of live cells demonstrated that only the long form is present at the extracellular face of the cell surface (Figures 1I–L). These results indicate that the short form is present in retina, but confined to the cytoplasm and unable to participate in intercellular recognition.

Sdk-Expressing Cells

The cells of the neural retina are divided into three cellular or “nuclear” layers, which are separated by two synaptic or “plexiform” layers. Photoreceptor somata occupy the outer nuclear layer (ONL), interneurons (horizontal, bipolar, and amacrine cells) and Müller glial cells occupy the inner nuclear layer (INL), and RGCs plus displaced amacrine cells occupy the GCL. Synapses of photoreceptors, horizontal cells and bipolar cell dendrites form the outer plexiform layer (OPL), and bipolar cell axons, amacrine cell processes and RGC dendrites synapse in the IPL.

Using reporters and antibodies, as described above, we characterized retinal cells that expressed sdk1 or sdk2. Neither sdk1 or sdk2 was detectably expressed by photoreceptors or Müller glial cells, but horizontal cells and some bipolar, amacrine cell, and RGC types expressed sdk1 and/or sdk2 (Figures 2A–C).

FIGURE 2
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Figure 2. Retinal ganglion cells that express sdk1 and/or sdk2. (A,B) Localization of CreER in sdk1+/CE (A) and sdk2+/CE (B) retina at P30. In the CE alleles, epitope-tagged CreERT2 replaces the first coding exon and is detected with anti-ER. Subsets of cells express CreERT2 in both lines. ONL, outer nuclear layer; OPL, outer plexiform layer; INL, inner nuclear layer; IPL, inner plexiform layer; GCL, ganglion cell layer. (C) Expression of CreER in sdk1+/CE;sdk2+/CE retina The two alleles are distinguished by staining for their epitope tags, HA in sdk1CE and MYC in sdk2CE. Some cell in the GCL and INL express both. (D,F) RGCs labeled in sdk1+/CE (D) or sdk2+/CE (F) mice mated to cre-dependent reporters (STOP15 or RC-FrePe) following tamoxifen injection. Both sdk1 and sdk2 are expressed by RGCs with somata in the GCL and dendrites that arborize in S3 of the IPL, as shown with sdk+/CE; reporter mice. Arbors are narrow for sdk1+ RGCs and diffuse for sdk2+RGCs. (E,G) Many sdk1+RGCs are calretinin-positive (arrowheads in E), whereas sdk2+RGCs are calretinin-negative (G) as revealed by double staining with antibodies to calretinin and ER. (H) GCL of P30 sdk1+/CG ; sdk2+/CE retina stained as flat mounts with anti-GFP (H) and anti-ER (H′) to label cells expressing sdk1 and sdk2, respectively. Most of the sdk+ cells express either sdk1 or sdk2, but some express both (arrowhead). (I,J) Large RGCs with dendrites in S5 visualized in section (I) and flat mount (J) in sdk1+/CE ;reporter (STOP15) mice following tamoxifen injection. Similar cells were observed in sdk2+/CE; STOP15. (K) Large RGC with dendrites in S5 visualized in section in a sdk2+/CE; reporter (Ai27) mouse (red). This RGC also expressed sdk1, as shown by in situ hybridization (green). (L) S5-laminating RGCs labeled in sdk2+/CE; reporter retina are stained with anti-Spp1 (osteopontin) which marks α-RGCs and M2 RGCs (arrowhead). (M) Some S5-laminating RGCs labeled in sdk2+/CE;reporter retina are stained by anti-neurofilament antibody SMI32, which labels α-RGCs but not M2-RGCs (arrowhead). (N,O) Some RGCs labeled in Sdk1+/CG retina are stained by anti-Opn4 (melanopsin), which marks M1 and M2 RGCs but not α-RGCs. The double-labeled cell in (N) (arrow) bears dendrites in S5, identifying it as an M2 cell. The Sdk1-negative cell in (O) (arrow) has dendrites in S1, identifying it as an M2 cell. Bar, 20 μm for (J), and 10 μm for others.

Retinal Ganglion Cells

Over 40 RGC types have been described in mice (Baden et al., 2016; Bae et al., 2018; Rheaume et al., 2018). Of them, one is sdk1+sdk2, one is sdk1sdk2+ and two are sdk1+sdk2+.

The sdk1+sdk2 RGC type has small somata and dendrites that ramify in a narrow sublamina at the center of S3 (Figure 2D). (By convention, the IPL is subdivided into 5 strata from S1 at the edge abutting the INL to S5 at the edge abutting the GCL.) This RGC type is calretinin-positive (Figure 2E). We provisionally call it the Sdk1+S3-RGC.

The sdk1sdk2+ RGC type, which we characterized previously, is the W3B-RGC (Krishnaswamy et al., 2015). Like the Sdk1+S3-RGC, its soma is small, and its dendrites also ramify in S3. However, W3B dendrites are more diffuse than those of the Sdk1+S3-RGC, occupying most of the width of S3, and its somata are calretinin-negative (Figures 2F,G).

Both sdk1+sdk2+RGC types are large and have radial dendrites that stratify in S5 (Figures 2H–K). We identify one as the ONα-sustained RGC based on expression of Spp1(osteopontin) and SMI32 (Bleckert et al., 2014; Duan et al., 2015) (Figures 2L,M). The other is the M2 intrinsically photosensitive RGC based on its dendritic stratification, morphology and Opn4 (melanopsin) expression (Figures 2N,O).

Amacrine Cells

There are ~60 amacrine cell types in mice (M. Laboulaye, W. Yan and J. R. Sanes, unpublished). Of them, two are sdk1+sdk2 and two are sdk1sdk2+. We found no amacrine cells that expressed both sdk1 and sdk2.

One of the two sdk1+sdk2 amacrine types has processes that ramify in S3 (Figures 3A,B). Most if not all of these cells are calretinin-positive type 2 catecholaminergic amacrine cells (2CA-ACs), as demonstrated by use of the DAT-cre line (Figure 3A) (Contini et al., 2010; Knop et al., 2011). The 2CA-ACs are present in both the INL and the GCL. The DAT-cre driver preferentially labels the group in the INL (Figure 3A), whereas both sets are Gbx2-positive (see below). 2CA-ACs narrowly stratify at the center of S3 which corresponds to the middle of three calretinin-positive bands (Figure 3B).

FIGURE 3
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Figure 3. Interneurons that express sdk1 or sdk2. (A) Sdk1 is expressed by type 2 catecholaminergic amacrine (2AC) cells, labeled in the DAT-cre line. Image from a DAT-cre;reporter (tdTomato Ai27);sdk1+/CE retina, stained for tdTomato (A) and ER (A′); panel (A″) shows merge. (B) 2AC cells, labeled in DAT-cre;reporter (tdTomato Ai27) retina, stratify narrowly in S3, within the middle of three calretinin-positive sublaminae. (C) Sdk2 is expressed by VG3 amacrine cells (sdk1+/CE; reporter (tdTomato Ai14); sectioned stained with anti-VGlut3). (D) VG3 amacrine cells (labeled with anti-VGlut3) arborize diffusely in S3 and are calretinin-negative. (E) Amacrine cell labeled in sdk1+/CE;reporter (Ai14) mouse following tamoxifen injection. The waterfall morphology is characteristic of A17 amacrine cells. (F,G) Horizontal cells (h) express Sdk2 (F) but not Sdk1 (E). Sections were stained with anti-Sdk1 or anti-Sdk2 plus antibodies to calbindin, which marks horizontal cells. (H) Expression of sdk1 and sdk2 derived from single cell RNAseq data in Shekhar et al. (2016). RB, rod bipolar cells. sdk2 is expressed by type 7 bipolar cells. Rod bipolar cells express both sdk1 and sdk2. (I) Labeling of BCs in a sdk1+/CE; reporter (RC-FrePe) mouse. Bulbous terminals in S5 are indicative of RBs. (J) Labeling of BCs in a sdk2+/CE; reporter mouse. Broad axonal terminals in S4 are indicative of BC7. RBs are also labeled. A horizontal cell (h) is also labeled in this section. (K) Schematic of cell types that express sdk1 and/or sdk2. Sketches summarize data from this figure, Figure 2 and Figure S2. Bar, 3 μm in (E,F), 10 μm for others.

The second sdk1+sdk2 amacrine type is the A17 type, identified by the striking “waterfall” shape of its arbor (Figure 3E), and tentatively characterized by its expression of protein kinase Cα (Puthussery and Fletcher, 2007; Downie et al., 2009) (Figure S2A).

We showed previously that the predominant sdk1sdk2+ type is the VGlut3-positive amacrine cell (VG3-AC), an unusual excitatory amacrine cell with processes in S3 (Krishnaswamy et al., 2015; see Figure 3C). VG3-ACs are calretinin-negative and arborize diffusely in S3 (Figure 3D). We also found a small number of a second type of sdk2+ amacrines that arborize in S3 but are distinct from VG3-ACs (Figures S2B,C). These were seldom encountered and have not been characterized further.

The sdk1+sdk2 and sdk1sdk2+ amacrine cells (VG3-AC and 2CA-AC) and RGCs (W3B-RGC and Sdk1+S3-RGC) are similar in that all four types have dendrites that arborize in S3. However, the fine details of their arbors differ. Our observation is consistent with our earlier observation that W3B-RGC is only weakly synaptically connected to 2CA-AC (Krishnaswamy et al., 2015), but appears to contrast an idea proposed by others (Brüggen et al., 2015) in that study, however, W3B-RGCs are not distinguished from related types.

Dendrites of the Sdk1+RGCs and the 2CA-ACs are larger in diameter and arborize in a narrow stratum in the center of S3. In contrast, dendrites of the Sdk2+ types (W3B-RGC and VG3-AC) are smaller in diameter and arborize more diffusely in S3. Sdk1+2CA cells do innervate Sdk2+W3B-RGCs (Brüggen et al., 2015), but physiological analysis indicated that the connection is far weaker than that of Sdk2+VG3-ACs with W3B-RGCs (Krishnaswamy et al., 2015).

Horizontal Cells

Horizontal cells express sdk2 but not sdk1 (Figures 3F,G). Strong punctate staining with anti-Sdk2 is seen in the outer plexiform layer (OPL), where photoreceptor synapses are abundant.

Bipolar Cells

There are 15 types of bipolar cells in mouse retina (Shekhar et al., 2016). One is sdk1sdk2+ and another is sdk1+sdk2+.

Our recent transcriptomic analysis of mouse bipolars demonstrated selective expression of sdk2 in type 7 bipolar cells (Shekhar et al., 2016) (Figure 3H). Using reporters, we confirmed expression of sdk2 in cells with axonal arbors arborizing in IPL sublamina S4, which is characteristic of type 7 bipolars (Figure 3I).

Both sdk1 and sdk2 are expressed by rod bipolar (RB) cells (Figures 3H–J). Axons of these cells ramify in S5, which is strongly stained with both anti-Sdk1 and anti-Sdk2 antibodies (Figures 4E–G).

FIGURE 4
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Figure 4. Localization of Sdk1 and Sdk2 during retinal development. Sections from P0 (A,B), P8 (C,D), P14 (E), or P30 (F,G) mice were stained with anti-Sdk1 (A,C,E,F) or anti-Sdk2 (B,D,E′,G). Sections in (A–D,F,G) were double stained with anti-calbindin, which labels three narrow strata in the IPL (see Figure 2). Section in (E) was doubly stained with anti-Sdk1 and anti-Sdk2. (A,B) Little Sdk1 immunoreactivity is present at P0 (A), but Sdk2 is present in the OPL (B). (C,D) At P8, Sdk1 and Sdk2 are both present in S3-5 of the IPL. (E) By P14, Sdk1, and Sdk2 are present in a narrow band in S3 and a broader band in S4,5. Sdk1+ and Sdk2+ immunoreactive puncta overlap in S4,5 but are distinct in S3. (F,G) Pattern at P30 is similar to that at P14. Bar, 8 μm for (E), and 25 μm for others.

Patterns of sdk1 and sdk2 expression in mouse retina are summarized in Figure 3K and Table 1.

TABLE 1
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Table 1. Cell types expressing sdk1 and/or sdk2.

Localization of Sdk1 an Sdk2 in Developing Mouse Retina

To ask when Sdk proteins appear during postnatal development, we stained retinas with antibodies to Sdk1 and Sdk2. Sdk2 was present in the OPL at P0, but neither Sdk1 nor Sdk2 was present at high levels in the IPL at this stage (Figures 4A,B). Both Sdk1 and Sdk2 were readily detectable within the IPL by P8 (Figures 4C,D). Both were present at highest levels in S3-5 by this time.

By P14, the staining pattern was similar to that in adults (Figures 4E–G). Both Sdks were present in S3 of the IPL, but in a non-overlapping distribution, with Sdk1 concentrated in a narrow stratum in the center of S3 and Sdk2 diffusely distributed throughout this sublamina. Both Sdk1 and Sdk2 were also present in S5, with greater overlap. Both were also present in S4, but with stronger staining for Sdk2 than Sdk1 (Figure 4E), likely reflecting the presence of Sdk2 but not Sdk1 in type 7 bipolar cells. These patterns of localization are consistent with the cell types expressing sdk1 and/or sdk2, and suggest that Sdk proteins are concentrated at or near synapses, as shown previously in chicks (Yamagata et al., 2002).

Lamination Defects in sdk1 Mutant

Sdk1 mutants (sdk1CE/CE, sdk1CG/CG, and sdk1ΔN) are viable and fertile and no abnormalities were visible on inspection of the live animal or upon inspection of major organs following euthanasia and dissection. To assess retinal structure and molecular architecture in mutants, we stained sections with a panel of antibodies to 14 cell class-specific, cell type-specific and synaptic markers (Figure S3). In no cases did we detect differences in level or distribution of the marker between homozygotes and controls (wild types and heterozygotes).

In a previous study, we demonstrated a role for Sdk2 in the development of Sdk2-positive VG3-ACs and W3B-RGCs. Processes of both cell types arborize in S3, and VG3-ACs synapse on W3B-RGCs. In Sdk2 mutants, the arbors of these cells extend beyond S3 and the strength of VG3-W3B synapses is reduced by at least an order of magnitude (Krishnaswamy et al., 2015). We were not able to selectively label Sdk1+S3-RGCs to target them for recording, because our labeling methods preferentially marked 2CA-ACs and S5-arborizing RGCs in the ganglion cell layer. We therefore used histological methods to seek defects in Sdk1 mutants.

First, we examined 2CA-ACs labeled in the DAT-cre line. In heterozygotes (DAT-cre; reporter; sdk1+/CE) dendrites were confined to a narrow stratum in the center of S3, as shown above (Figures 3A,B). In the absence of sdk1, however (DAT-cre; reporter; sdk1CE/CE), dendrites sprouted beyond their laminar boundary (Figures 5A–C). Similar results were obtained using a Gbx2 (Gbx2-CreERT2-IRES-GFP) mouse line (Chen et al., 2009) which labels 2CA-ACs in both INL and GCL. 2CA-ACs sharply stratify in S3 (Figure 5D,E). To quantify the effect of Sdk1 deletion on 2CA-AC arbors, we plotted the laminar position of GFP-labeled dendritic segments, which appeared as spots in the micrographs. We then calculated the variance in position as an approximation of the diffuseness of the arbors within S3 (see Materials and Methods). The “Variance” scores from each dataset are shown in Figure 5F. An F-test demonstrated that the arbors were significantly more diffuse in sdk1 mutant homozygotes than in heterozygotes.

FIGURE 5
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Figure 5. Loss of function phenotype in sdk1 mutants. (A–C) Type II catechoraminergic amacrine (2CA) cells in INL labeled in DATcre;reporter (Ai27) mice in the presence (A) or absence of sdk1 (B,C). In homozygotes, stratification of 2CA cells is diffuse, associated with occasional sprouting (arrows). (D,E) Stratification of 2CA dendrites in S3 of Gbx2-CreERT2-IRES-GFP; this line labels 2CA cells in both INL and GCL in sdk1+/CE (D) or sdk1CE/CE (E). (F) Position of GFP-positive dendritic segments plotted from micrographs such as in (D) (n = 6 areas from 3 animals) and (E) (n = 6 areas from 3 animals). The laminar position of GFP+ spots were measured and box-plotted (F). Box-plots show upper and lower quartiles (box), median (horizontal line in the box), and the highest and lowest value excluding outliers (lines). The variance score is 2.0 for sdk1+/CE and 8.4 for sdk1CE/CE. F-test for the variation is significant (**F < 0.0001). (G,H) Cells in the GCL and their dendritic arbors were labeled by crossing sdk1+/CE (D) or sdk1CE/CE (E) to the STOP15 reporter. Dendritic arbors in homozygotes are more diffusely distributed in the IPL than that in heterozygotes. (I–J) Localization of calretinin in sdk1+/CE (I) or sdk1CE/CE (J) mice. (K) The position of the calretinin+ spots were measured from micrographs such as those in (I) (n = 3 areas from 3 animals) and (J) (n = 3 areas from 3 animals), and box-plotted as in (F). F-test for the variation is significant (**F < 0.0001) for the middle band. Variation of the outer and inner calretinin-positive bands, corresponding to sdk-negative processes including starburst amacrine cells, is unaltered. Bar, 10μm.

To analyze arbors of the Sdk1+ RGCs that laminate in S3, we compared STOP15; sdk1+/CE) and STOP15;sdk1CE/CE mice following administration of tamoxifen at P0 (Figures 5G,H). Cells were labeled sparsely in this genotype, making satisfactory quantification infeasible, but multiple examples showed that dendrites of Sdk1+S3-RGCs sprouted beyond their laminar boundary in mutants. However, both Sdk1-postitive 2CA-ACs and Sdk1+S3-RGCs are characterized by their expression of calretinin (Figures 2D,E, 3A,B), so we quantified the localization of calretinin in the IPL. The central band, which contains dendrites of Sdk1+S3-RGCs and 2CA-ACs, was more diffuse in the absence of Sdk1 than in its presence. The effect was specific in that the inner and outer bands, which contain dendrites of Sdk1-negative starburst amacrine cells, was not affected (Figures 5I–K). Together, these results suggest that neuronal processes of sdk1-expressing RGCs and amacrine cells in S3 exhibit decreased laminar restriction in the absence of Sdk1.

Lamination Defects in sdk1/sdk2 Double Mutants

We labeled ONα RGCs and rod bipolar cells, which express both sdk1 and sdk2, in sdk1, and sdk2 single mutants and in sdk1sdk2 double mutants. Although the number of cells analyzed was insufficient for detailed quantification, we detected no obvious defects in the dendritic arbors of the ONα RGCs (Figures 6A–E). Likewise, the laminar position and size of rod bipolar terminals was unaffected in sdk1sdk2 double mutants (Figures 6F–L). We also asked whether defects in VG3-ACs, which require Sdk2 for laminar restriction (Krishnaswamy et al., 2015) were more severe in double mutants, and found that they were not (Figure S4).

FIGURE 6
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Figure 6. Phenotype in sdk1 sdk2 double knock-out retina. (A–E) Large RGCs with dendrites in S5, viewed in flat mounts of tamoxifen-injected sdk1+/CE (A), sdk1CE/CE (B), or sdk1CE/CE sdk2CE/CE (C) mice or in sections of sdk1+/CE (D) or sdk1CE/CE sdk2CE/CE (E) mice. Cell were visualized with the STOP15 reporter. (F–L) Rod bipolar terminals in S5 labeled with anti-PKCα in wildtype (F,I) sdk1CE/CE (G,J) or sdk1CE/CE sdk2CE/CE (H,K) mice. Overall stratification was not affected in sdk1CE/CE or sdk1CE/CE sdk2CE/CE (F–H). The circumference of PKCα-stained terminals (J–K) was measured, and plotted (I) (n = 31–38 from one animal each). Differences among genotypes were not significant by one-way ANOVA [Pr(>F) = 0.81; p > 0.8 by Tukey post-hoc test]. Bar, 10 μm.

Sdk1 Acts Homophilically to Pattern Dendrites

To probe roles of Sdks further, we generated lines in which expression of sdk1 or sdk2, along with a green fluorescent protein (Venus), required cre-mediated excision of a STOP cassette (Figure 7A). We crossed these mice to the sdk2+/CE line and delivered tamoxifen at P2, thereby expressing sdk1 or sdk2 plus Venus in a sparse subset of cells that normally express sdk2. Ectopic expression of sdk1 in W3B-RGCs or VG3-ACs led to formation of narrowly stratified arbors, similar to those of Sdk1-positive Sdk1+S3-RGCs or 2CA-ACs, respectively (Figures 7C,E,G). In contrast, the arbors were unperturbed by expression of sdk2 plus Venus or of Venus alone (Figures 7B,F,G).

FIGURE 7
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Figure 7. Overexpression of Sdk1 patterns dendrites. (A) Design of RC-sV-Sdk1, RC-sV-Sdk2, and RC-sV-A mouse lines. By crossing RC-sV-Sdk1 and RC-sV-Sdk2 to appropriate Cre driver lines, Sdk1 and Sdk2 can be overexpressed. The Sdk proteins are coexpressed with Venus (GFP) via a self-cleavable F2A sequence. RC-sV-A expresses Venus but not Sdk following Cre-mediated recombination. (B–D) VG3 cells labeled in sdk2+/CE; RC-sV-A mice exhibited characteristic morphology (B). Expression of sdk1 in sdk2+/CE; RC-sV-Sdk1 (C) or sdk2CE/CE; RC-sV-Sdk1 mice (D) resulted in the VG3 ACs acquiring a narrow arbor similar to that of Sdk1+ CA2 ACs. Pups were injected with tamoxifen at P2 dissected at P32, and stained with antibodies to GFP and VGlut3. (E,F) W3B RGCs labeled in sdk2+/CE;RC-sV-Sdk1 (E) or sdk2+/CE;RC-sV-A (F) mice. Expression of sdk1resulted in the W3B RGCs acquiring a narrow dendritic arbor similar to that of the Sdk1+RGCs shown in Figure 2. Pups were injected with tamoxifen at P2, and dissected at P32. Bar indicates 10μm for (A–F). (G) Laminar position of GFP+ spots from indicated genotypes was measured in micrographs such as those shown in (B–D), and plotted as in Figure 5 (n = 5–6 neurons from each of 3 animals). Plot at far right derived from VGlut3 staining. Variance scores are shown under the graph. Statistical significance of variance by F-test: ns, F > 0.1; **F < 0.001.

As noted above, satisfactory quantification was infeasible for RGCs, but we used analysis of variance to quantify these effects for VG3-ACs, demonstrating that they were highly significant. We also showed that Sdk1 acted similarly in a Sdk2 mutant background (sdk2CE/CE) (Figures 7D,G). Thus, Sdk1 can pattern dendritic arbors in cells that are normally sdk1-negative.

We then used this model to ask whether Sdk1 acts homophilically to pattern dendritic arbors. To this end, we expressed sdk1 in VG3-ACs in the absence of endogenous sdk1 (RC-vS-Sdk1; sdk2-CreER; sdk1ΔNN) (Figure 8). In this case, ectopic Sdk1 had no significant effect on VG3-AC arbors, suggesting that the effects of Sdk1 on dendrites require homophilic interactions among arbors.

FIGURE 8
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Figure 8. Sdk1 patterns dendrites homophillically. (A,B) Sdk1 was expressed in VG3 cells (RC-sV-Sdk1;sdk2+/CE) in the presence (sdk1+/ΔN) (A) or absence (sdk1 ΔNN) (B) of endogenous Sdk1. Pups were injected with tamoxifen at P2, and dissected at P32. Narrowing of arbors elicited by ectopic expression of sdk1 did not occur in the absence of endogenous Sdk1. Bar, 10μm. (C) Laminar positioning of GFP+ spots from indicated genotypes was measured in micrographs such as those shown in (A,B), and presented as boxplots as in Figure 5 (n = 5 neurons from each of 3 animals). Statistical significance of variance by F-test: ns, F > 0.1; **F < 0.001.

Sensitive Period for Sdk1 Function

We next used the ectopic expression model to ask whether Sdk1 can remodel dendrites after dendritic growth is over. To this end, tamoxifen was injected at P24 after IPL sublamination had been established. The morphological change documented above for P2 tamoxifen treatment was not observed at either P32 (Figures 9A,B,D) or P60 (Figures 9C,D). This result suggests that once lamination patterns are established, they are resistant to remodeling by Sdk1.

FIGURE 9
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Figure 9. Sensitive period for Sdk1 overexpression. (A–C) RC-sV-Sdk1 was crossed to sdk2+/CE (A,C) or sdk2CE/CE (B). In this experiment, the crosses were carried out as in Figures 6, 7, but pups were injected with tamoxifen at P24 instead of P2, and dissected at P32 (A,B) or P60 (C). Overexpression of sdk1 starting at P24 did not affect the morphology of VG3 cells. Bar, 10μm. (D) The laminar positioning of GFP+ spots from indicated genotypes was measured in micrographs such as those shown in (A,C), and presented as boxplots as in Figure 5 (n = 6 neurons from each of 2–3 animals). Statistical significance of variance by F-test: ns, F > 0.1; **F < 0.001. The data for P2-P32 are from Figure 5G for comparison.

Effects of Sdk1 on Starburst Amacrines and J-RGCs

Finally, we asked whether ectopic Sdk1 could affect lamination of other cell types. We tested two types for which reliable cre drivers were available: starburst amacrine cells (Chat-cre) (Rossi et al., 2011) and J-RGCs (JamCreER) (Kim et al., 2008). Starburst amacrine cell dendrites arborize in two narrow bands in S2 and S4. Levels of ectopically expressed Sdk1 were similar to endogenous levels in S3 (Figures 10A–D). However, the lamination of starburst amacrine cells appeared unaffected by the ectopic expression of sdk1.

FIGURE 10
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Figure 10. Sdk1 overexpression in starburst amacrine cells and J-RGCs. (A) Starburst amacrine cell dendrites stratify in S2 and S4. P30 section stained with anti-ChAT. (B) Overexpression of Venus (GFP) in starburst amacrine cells (RC-sV-A; ChAT-Cre) labels S2 and S4. (C) Overexpression of Sdk1 and Venus (GFP) in starburst amacrine cells (RC-sV-Sdk1; ChAT-Cre) labeled tight fascicles in S2 and S4, indistinguishable from controls (A,B). Staining with anti-Sdk1 confirms ectopic expression (C′,C″). (D) Immunostaining of wildtype P30 retina with anti-Sdk1 antibodies. Comparison with A′ indicates that recombinant Sdk1 is present at levels similar to those of endogenous Sdk1. (E–I) J-RGCs labeled in JamBCE ;RC-sV-Sdk1; sdk1 +/ΔN (E–G), JamBCE ;RC-sV-Sdk1; sdk1 ΔNN (H) or JamB1CE;RC-sV-A; ; sdk1 +/ΔN (I) mice. Pups were injected with tamoxifen at P2, and dissected at P32. J-RGC dendrites normally arborize in S1 (I) but expression of sdk1 led to formation of ectopic processes in S3 (E–G). Mistargeting arbors elicited by ectopic expression of sdk1 did not occur in the absence of endogenous Sdk1 (sdk1 ΔNN) (H). Bar, 10μm. (J) Laminar position of GFP+ spots from indicated genotypes were plotted as in Figure 5 (n = 5 neurons from each of 3 animals). Dots in S3 (40–60% IPL depth) were enlarged for emphasis. Statistical significance of variance by F-test: ns, F > 0.1; *F < 0.01.

J-RGC dendrites ascend through the IPL, crossing S3 to arborize in S1. In this case, overexpression of Sdk1 let to formation of dendritic branches in S3 (Figures 10E–J). As was the case for remodeling of VG3-AC dendrites, no remodeling was observed in a sdk1ΔNN background (Figures 10H,J), indicating that Sdk1 acts homophilically in J-RGCs.

Discussion

A group of four closely related immunoglobulin superfamily adhesion molecules has been implicated in assembly of neural circuits in chick retina: Sdk1, Sdk2, Dscam and DscamL (Yamagata et al., 2002; Yamagata and Sanes, 2008, 2010, 2012a). Of these, three have also been shown to play roles in assembly of neural circuits in mouse retina: Sidekick 2, Dscam and DscamL (Fuerst et al., 2008, 2009; Krishnaswamy et al., 2015). Here, to complete this set of studies, we investigated the expression and role of Sdk1 in developing retina.

Sdks Mediate Sublaminar Specificity in Retina

Sdk1 and Sdk2 are each expressed by defined types of retinal neurons. Of ~140 total retinal neuronal types in mice, 11 (~7%) express sdk1 and/or sdk2 at appreciable levels. Of these, 3 express sdk1 but not sdk2, 5 express sdk2 but not sdk1 and 3 express both sdk1 and sdk2 (Figure 3K).

Of particular note are two pairs of sdk-positive neurons with arbors in S3. VG3-ACs and W3B-RGCs are both sdk2-positive and arborize in S3. Likewise, 2CA-ACs and S3-RGCs are both sdk1-positive and arborize in S3. The pairs differ, however, in their sublaminar restriction: the Sdk2-positive cells arborize diffusely within S3, whereas the Sdk1-positive cells arborize in a narrow stratum at the center of S3. Moreover, VG3-ACs synapse strongly whereas 2CA-ACs synapse only weakly on W3B-RGCs (Krishnaswamy et al., 2015). Together, these results suggest that the sdk1- and sdk2-positive pairs comprise separate channels in S3.

Genetic studies indicate that sdk1 and sdk2 mutants not only mark these channels but are necessary for their formation. The laminar restriction of VG3-ACs and W3B-RGCs is disrupted in sdk2 mutants, whereas there is no detectable effect on arbors of 2CA-ACs and Sdk1+S3-RGCs. Conversely, the laminar restriction of 2CA-ACs and Sdk1+S3-RGCs is disrupted in sdk1 mutants, with no detectable effect on arbors of VG3-ACs and W3B-RGCs. Physiological studies show that functional connectivity of VG3-ACs with W3B-RGCs is dramatically reduced in sdk2 mutants, with no effect on the weak 2CA-AC to W3B-RGC connectivity. As noted above, we have not yet been able to target Sdk1+S3-RGCs for recording, but we speculate that they will exhibit the opposite pattern—strong synapses from 2CA-ACs, weak synapses from VG3-ACs, loss of connectivity in sdk1 mutants, and no defects in sdk2 mutants.

We also found that sdk1+sdk2+ interneurons and RGCs share laminar restriction, with rod bipolar cells, ON-α sustained RGCs and M2 intrinsically photosensitive RGCs all of which arborize in S5. In this case, however, we detected no morphological defects in the arbors of these cells in sdk1 or sdk2 mutants or in sdk1sdk2 double mutants. Rod bipolars also express the related recognition molecule, DscamL (Fuerst et al., 2009), and it possible that deletion of both recognition systems would be required to disrupt these arbors.

Cells that express both sdk1 and sdk2 can, of course, interact with cells that express either sdk1+ or sdk2+, generating bifurcated circuits. In this regard, it is intriguing that Sdk1-positive A17 amacrine cells also arborize extensively in S5. A circuit involving A17 amacrine cells has been characterized in rabbits, and A17 terminals contact both rod bipolar axons and ON-RGC dendrites (Diamond, 2017). Likewise, Sdk2-positive horizontal cells interact with rod bipolar dendrites in the outer plexiform layer.

Sdk1 Acts Instructively and Homophilically During Arbor Formation

To analyze the mechanism by which Sdk1 acts we used a gain-of-function strategy, expressing it in cells that are normally sdk1-negative. From our results, we draw three conclusions. First, Sdk1 acts instructively. When expressed in VG3-ACs, it remodels their arbors in S3 from their normal diffuse pattern to the narrow, central pattern characteristic of Sdk1-positive 2CA-ACs. Likewise, expression of Sdk1 in J-RGCs, which arborize in S1, results in formation of ectopic branches in S3. Sdk1 is restricted in its potency, however; expression in starburst amacrines, with dendrites that border S3, has no detectable effect. We do not know what cell type-specific factors affect the ability of Sdk1 to pattern arbors.

Second, Sdk1 acts homophilically in that its ability to pattern arbors require that it be expressed in neighboring cells. Thus, expression of sdk1 in small numbers of VG3-ACs or J-RGCs fails to affect their arbors in a sdk1 mutant background. The simplest interpretation of this finding is that ectopically expressed sdk1 leads to fasciculation of neurites with those of cells that express sdk1 endogenously. This mechanism is consistent with the observation that formation of synapses between sdk2-positive cells requires expression of sdk2 on both synaptic partners (Krishnaswamy et al., 2015).

Third, Sdk1 acts during a restricted period of development, as arbors are forming. When ectopic expression is initiated after arbors have already formed, it has no detectable effect over a period of at least 1 month. Apparently, once arbors have matured, they become resistant to remodeling.

Taken together, we and Fuerst, Burgess, and colleagues have now demonstrated roles for Sdk1, Sdk2, Dscam and DscamL1 in patterning the IPL in both chick and mouse retina (Yamagata et al., 2002; Fuerst et al., 2008, 2009, 2012; Yamagata and Sanes, 2008, 2010; Krishnaswamy et al., 2015; Garrett et al., 2016). There are interesting differences in phenotype among molecules and between species. For example, Dscam and DscamL1 appear to act by an inhibitory mechanism in mice but an attractive mechanism in chicks, whereas Sdks act by an attractive mechanism in both species (Fuerst et al., 2008, 2009; Yamagata and Sanes, 2008; and this paper). Also, the four relatives are expressed by almost entirely non-overlapping populations in chick retina, whereas some retinal neuronal types express both sdks, and/or sdks and dscams (Fuerst et al., 2008, 2009 and this paper). Despite these differences, however, results to date make a strong case that selective expression of these recognition molecules, as well as the closely related contactins (Yamagata and Sanes, 2012a; Peng et al., 2017), generates an “immunoglobulin superfamily code” critical for synaptic specificity in the vertebrate retina.

Author Contributions

MY and JS planned experiments and wrote the manuscript. MY performed experiments and analyzed data.

Conflict of Interest Statement

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

We thank the Genome Modification Facility at Harvard University for generation of mice. We thank Arjun Krishnaswarmy and Nick Tran for advice and Emily Martersteck for assistance. This work was supported by the grants from National Institute of Heath (R37NS029169 and R01EY022073).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnmol.2018.00485/full#supplementary-material

References

Astigarraga, S., Douthit, J., Tarnogorska, D., Creamer, M. S., Mano, O., Clark, D. A., et al. (2018). Drosophila Sidekick is required in developing photoreceptors to enable visual motion detection. Development 145:dev158246. doi: 10.1242/dev.158246

PubMed Abstract | CrossRef Full Text | Google Scholar

Baden, T., Berens, P., Franke, K., Román Rosón, M., Bethge, M., and Euler, T. (2016). The functional diversity of retinal ganglion cells in the mouse. Nature 529, 345–350. doi: 10.1038/nature16468

PubMed Abstract | CrossRef Full Text | Google Scholar

Bae, J. A., Mu, S., Kim, J. S., Turner, N. L., Tartavull, I., Kemnitz, N., et al. (2018). Digital museum of retinal ganglion cells with dense anatomy and physiology. Cell 173, 1293–1306. doi: 10.1016/j.cell.2018.04.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Beard, C., Hochedlinger, K., Plath, K., Wutz, A., and Jaenisch, R. (2006). Efficient method to generate single-copy transgenic mice by site-specific integration in embryonic stem cells. Genesis 44, 23–28. doi: 10.1002/gene.20180

PubMed Abstract | CrossRef Full Text | Google Scholar

Berson, D. M., Castrucci, A. M., and Provencio, I. (2010). Morphology and mosaics of melanopsin-expressing retinal ganglion cell types in mice. J. Comp. Neurol. 518, 2405–2422. doi: 10.1002/cne.22417

PubMed Abstract | CrossRef Full Text | Google Scholar

Bleckert, A., Schwartz, G. W., Turner, M. H., Rieke, F., and Wong, R. O. L. (2014). Visual space is represented by nonmatching topographies of distinct mouse retinal ganglion cell types. Curr. Biol. 24, 310–315. doi: 10.1016/j.cub.2013.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Brüggen, B., Meyer, A., Boven, F., Weiler, R., and Dedek, K. (2015). Type 2 wide-field amacrine cells in TH::GFP mice show a homogenous synapse distribution and contact small ganglion cells. Eur. J. Neurosci. 41, 734–747. doi: 10.1111/ejn.12813

PubMed Abstract | CrossRef Full Text | Google Scholar

Buffelli, M., Burgess, R. W., Feng, G., Lobe, C. G., Lichtman, J. W., and Sanes, J. R. (2003). Genetic evidence that relative synaptic efficacy biases the outcome of synaptic competition. Nature 424, 430–434. doi: 10.1038/nature01844

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, D., Cohen, K. B., Luo, T., Lichtman, J. W., and Sanes, J. R. (2013). Improved tools for the Brainbow toolbox. Nat. Methods 10, 540–547. doi: 10.1038/nmeth.2450

CrossRef Full Text | Google Scholar

Chen, L., Guo, Q., and Li, J. Y. H. (2009). Transcription factor Gbx2 acts cell-nonautonomously to regulate the formation of lineage-restriction boundaries of the thalamus. Development 136, 1317–1326. doi: 10.1242/dev.030510

PubMed Abstract | CrossRef Full Text | Google Scholar

Contini, M., Lin, B., Kobayashi, K., Okano, H., Masland, R. H., and Raviola, E. (2010). Synaptic input of ON-bipolar cells onto the dopaminergic neurons of the mouse retina. J. Comp. Neurol. 518, 2035–2050. doi: 10.1002/cne.22320

PubMed Abstract | CrossRef Full Text | Google Scholar

Diamond, J. S. (2017). Inhibitory interneurons in the retina: types, circuitry, and function. Annu. Rev. Vision Sci. 3, 1–24. doi: 10.1146/annurev-vision-102016-061345

PubMed Abstract | CrossRef Full Text | Google Scholar

Downie, L. E., Vessey, K., Miller, A., Ward, M. M., Pianta, M. J., Vingrys, A. J., et al. (2009). Neuronal and glial cell expression of angiotensin II type 1 (AT1) and type 2 (AT2) receptors in the rat retina. Neuroscience 161, 195–213. doi: 10.1016/j.neuroscience.2009.02.084

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, X., Krishnaswamy, A., De la Huerta, I., and Sanes, J. R. (2014). Type II cadherins guide assembly of a direction-selective retinal circuit. Cell 158, 793–807. doi: 10.1016/j.cell.2014.06.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, X., Krishnaswamy, A., Laboulaye, M. A., Liu, J., Peng, Y.-R., Yamagata, M., et al. (2018). Cadherin combinations recruit dendrites of distinct retinal neurons to a shared interneuronal scaffold. Neuron 99, 1145–1154. doi: 10.1016/j.neuron.2018.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Duan, X., Qiao, M., Bei, F., Kim, I.-J., He, Z., and Sanes, J. R. (2015). Subtype-specific regeneration of retinal ganglion cells following axotomy: effects of osteopontin and mTOR signaling. Neuron 85, 1244–1256. doi: 10.1016/j.neuron.2015.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Dymecki, S. M., Ray, R. S., and Kim, J. C. (2010). Mapping cell fate and function using recombinase-based intersectional strategies. Methods Enzymol. 477, 183–213. doi: 10.1016/S0076-6879(10)77011-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuerst, P. G., Bruce, F., Rounds, R. P., Erskine, L., and Burgess, R. W. (2012). Cell autonomy of DSCAM function in retinal development. Dev. Biol. 361, 326–337. doi: 10.1016/j.ydbio.2011.10.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuerst, P. G., Bruce, F., Tian, M., Wei, W., Elstrott, J., Feller, M. B., et al. (2009). DSCAM and DSCAML1 function in self-avoidance in multiple cell types in the developing mouse retina. Neuron 64, 484–497. doi: 10.1016/j.neuron.2009.09.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuerst, P. G., Koizumi, A., Masland, R. H., and Burgess, R. W. (2008). Neurite arborization and mosaic spacing in the mouse retina require DSCAM. Nature 451, 470–474. doi: 10.1038/nature06514

PubMed Abstract | CrossRef Full Text | Google Scholar

Garrett, A. M., Tadenev, A. L., Hammond, Y. T., Fuerst, P. G., and Burgess, R. W. (2016). Replacing the PDZ-interacting C-termini of DSCAM and DSCAML1 with epitope tags causes different phenotypic severity in different cell populations. eLife 5:e16144. doi: 10.7554/eLife.16144

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodman, K. M., Yamagata, M., Jin, X., Mannepalli, S., Katsamba, P. S., Ahlsén, G., et al. (2016). Molecular basis of sidekick-mediated cell-cell adhesion and specificity. eLife 5:e19058. doi: 10.7554/eLife.19058

PubMed Abstract | CrossRef Full Text | Google Scholar

Greferath, U., Grünert, U., and Wässle, H. (1990). Rod bipolar cells in the mammalian retina show protein kinase C-like immunoreactivity. J. Comp. Neurol. 301, 433–442. doi: 10.1002/cne.903010308

PubMed Abstract | CrossRef Full Text | Google Scholar

Grimes, W. N., Seal, R. P., Oesch, N., Edwards, R. H., and Diamond, J. S. (2011). Genetic targeting and physiological features of VGLUT3+ amacrine cells. Vis. Neurosci. 28, 381–392. doi: 10.1017/S0952523811000290

PubMed Abstract | CrossRef Full Text | Google Scholar

Haverkamp, S., and Wässle, H. (2004). Characterization of an amacrine cell type of the mammalian retina immunoreactive for vesicular glutamate transporter 3. J. Comp. Neurol. 468, 251–263. doi: 10.1002/cne.10962

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayashi, K., Kaufman, L., Ross, M. D., and Klotman, P. E. (2005). Definition of the critical domains required for homophilic targeting of mouse sidekick molecules. FASEB J. 19, 614–616. doi: 10.1096/fj.04-2947fje

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoon, M., Okawa, H., Della Santina, L., and Wong, R. O. L. (2014). Functional architecture of the retina: development and disease. Prog. Retinal Eye Res. 42, 44–84. doi: 10.1016/j.preteyeres.2014.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, J., Sherry, D. M., Liu, X., Fremeau, R. T., Seal, R. P., Edwards, R. H., et al. (2004). Vesicular glutamate transporter 3 expression identifies glutamatergic amacrine cells in the rodent retina. J. Comp. Neurol. 477, 386–398. doi: 10.1002/cne.20250

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaufman, L., Hayashi, K., Ross, M. J., Ross, M. D., and Klotman, P. E. (2004). Sidekick-1 is upregulated in glomeruli in HIV-associated nephropathy. J. Am. Soc. Nephrol. 15, 1721–1730. doi: 10.1097/01.ASN.0000128975.28958.C2

PubMed Abstract | CrossRef Full Text | Google Scholar

Kay, J. N., Chu, M. W., and Sanes, J. R. (2012). MEGF10 and MEGF11 mediate homotypic interactions required for mosaic spacing of retinal neurons. Nature 483, 465–469. doi: 10.1038/nature10877

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, I.-J., Zhang, Y., Meister, M., and Sanes, J. R. (2010). Laminar restriction of retinal ganglion cell dendrites and axons: subtype-specific developmental patterns revealed with transgenic markers. J. Neurosci. 30, 1452–1462. doi: 10.1523/JNEUROSCI.4779-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, I.-J., Zhang, Y., Yamagata, M., Meister, M., and Sanes, J. R. (2008). Molecular identification of a retinal cell type that responds to upward motion. Nature 452, 478–482. doi: 10.1038/nature06739

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, T., Soto, F., and Kerschensteiner, D. (2015). An excitatory amacrine cell detects object motion and provides feature-selective input to ganglion cells in the mouse retina. eLife 4:e08025. doi: 10.7554/eLife.08025

PubMed Abstract | CrossRef Full Text | Google Scholar

Knop, G. C., Feigenspan, A., Weiler, R., and Dedek, K. (2011). Inputs underlying the ON-OFF light responses of type 2 wide-field amacrine cells in TH::GFP mice. J. Neurosci. 31, 4780–4791. doi: 10.1523/JNEUROSCI.6235-10.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Krieger, B., Qiao, M., Rousso, D. L., Sanes, J. R., and Meister, M. (2017). Four alpha ganglion cell types in mouse retina: function, structure, and molecular signatures. PLoS ONE 12:e0180091. doi: 10.1371/journal.pone.0180091

PubMed Abstract | CrossRef Full Text | Google Scholar

Krishnaswamy, A., Yamagata, M., Duan, X., Hong, Y. K., and Sanes, J. R. (2015). Sidekick 2 directs formation of a retinal circuit that detects differential motion. Nature 524, 466–470. doi: 10.1038/nature14682

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S., Chen, L., Chen, M., Ye, M., Seal, R. P., and Zhou, Z. J. (2014). An unconventional glutamatergic circuit in the retina formed by vGluT3 amacrine cells. Neuron 84, 708–715. doi: 10.1016/j.neuron.2014.10.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Lefebvre, J. L., Kostadinov, D., Chen, W. V., Maniatis, T., and Sanes, J. R. (2012). Protocadherins mediate dendritic self-avoidance in the mammalian nervous system. Nature 488, 517–521. doi: 10.1038/nature11305

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Reggiani, J. D. S., Laboulaye, M. A., Pandey, S., Chen, B., Rubenstein, J. L. R., et al. (2018). Tbr1 instructs laminar patterning of retinal ganglion cell dendrites. Nat. Neurosci. 21, 659–670. doi: 10.1038/s41593-018-0127-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Madisen, L., Mao, T., Koch, H., Zhuo, J., Berenyi, A., Fujisawa, S., et al. (2012). A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing. Nat. Neurosci. 15, 793–802. doi: 10.1038/nn.3078

PubMed Abstract | CrossRef Full Text | Google Scholar

Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., et al. (2010). A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat. Neurosci. 13, 133–140. doi: 10.1038/nn.2467

PubMed Abstract | CrossRef Full Text | Google Scholar

Masland, R. H. (2012). The neuronal organization of the retina. Neuron 76, 266–280. doi: 10.1016/j.neuron.2012.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsuoka, R. L., Nguyen-Ba-Charvet, K. T., Parray, A., Badea, T. C., Chédotal, A., and Kolodkin, A. L. (2011). Transmembrane semaphorin signalling controls laminar stratification in the mammalian retina. Nature 470, 259–263. doi: 10.1038/nature09675

PubMed Abstract | CrossRef Full Text | Google Scholar

Menger, N., and Wässle, H. (2000). Morphological and physiological properties of the A17 amacrine cell of the rat retina. Vis. Neurosci. 17, 769–780. doi: 10.1017/S0952523800175108

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, D. N., Liu, Y., Litsky, M. L., and Reinke, R. (1997). The sidekick gene, a member of the immunoglobulin superfamily, is required for pattern formation in the Drosophila eye. Development 124, 3303–3312.

PubMed Abstract | Google Scholar

Pasteels, B., Rogers, J., Blachier, F., and Pochet, R. (1990). Calbindin and calretinin localization in retina from different species. Vis. Neurosci. 5, 1–16. doi: 10.1017/S0952523800000031

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, Y.-R., Tran, N. M., Krishnaswamy, A., Kostadinov, D., Martersteck, E. M., and Sanes, J. R. (2017). Satb1 regulates contactin 5 to pattern dendrites of a mammalian retinal ganglion cell. Neuron 95, 869–883. doi: 10.1016/j.neuron.2017.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Puthussery, T., and Fletcher, E. L. (2007). Neuronal expression of P2X3 purinoceptors in the rat retina. Neuroscience 146, 403–414. doi: 10.1016/j.neuroscience.2007.01.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Ran, F. A., Hsu, P. D., Lin, C.-Y., Gootenberg, J. S., Konermann, S., Trevino, A. E., et al. (2013). Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity. Cell 154, 1380–1389. doi: 10.1016/j.cell.2013.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Rheaume, B. A., Jereen, A., Bolisetty, M., Sajid, M. S., Yang, Y., Renna, K., et al. (2018). Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes. Nat. Commun. 9:2759. doi: 10.1038/s41467-018-05134-3

CrossRef Full Text | Google Scholar

Rodríguez, C. I., Buchholz, F., Galloway, J., Sequerra, R., Kasper, J., Ayala, R., et al. (2000). High-efficiency deleter mice show that FLPe is an alternative to Cre-loxP. Nat. Genet. 25, 139–140. doi: 10.1038/75973

PubMed Abstract | CrossRef Full Text | Google Scholar

Rossi, J., Balthasar, N., Olson, D., Scott, M., Berglund, E., Lee, C. E., et al. (2011). Melanocortin-4 receptors expressed by cholinergic neurons regulate energy balance and glucose homeostasis. Cell Metab. 13, 195–204. doi: 10.1016/j.cmet.2011.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanes, J. R., and Masland, R. H. (2015). The types of retinal ganglion cells: current status and implications for neuronal classification. Annu. Rev. Neurosci. 38, 221–246. doi: 10.1146/annurev-neuro-071714-034120

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanes, J. R., and Zipursky, S. L. (2010). Design principles of insect and vertebrate visual systems. Neuron 66, 15–36. doi: 10.1016/j.neuron.2010.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmidt, T. M., and Kofuji, P. (2009). Functional and morphological differences among intrinsically photosensitive retinal ganglion cells. J. Neurosci. 29, 476–482. doi: 10.1523/JNEUROSCI.4117-08.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., et al. (2016). Comprehensive classification of retinal bipolar neurons by single-cell transcriptomics. Cell 166, 1308–1323. doi: 10.1016/j.cell.2016.07.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, L. O., Jiang, Z., Rivlin-Etzion, M., Hand, R., Brady, C. M., Matsuoka, R. L., et al. (2013). On and off retinal circuit assembly by divergent molecular mechanisms. Science 342:1241974. doi: 10.1126/science.1241974

CrossRef Full Text | Google Scholar

Tang, H., Chang, H., Dong, Y., Guo, L., Shi, X., Wu, Y., et al. (2018). Architecture of cell-cell adhesion mediated by sidekicks. Proc. Natl. Acad. Sci. U.S.A. 115, 9246–9251. doi: 10.1073/pnas.1801810115

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., et al. (2013). One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering. Cell 153, 910–918. doi: 10.1016/j.cell.2013.04.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Wässle, H., Puller, C., Müller, F., and Haverkamp, S. (2009). Cone contacts, mosaics, and territories of bipolar cells in the mouse retina. J Neurosci. 29, 106–117. doi: 10.1523/JNEUROSCI.4442-08.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamagata, M., and Sanes, J. R. (2008). Dscam and Sidekick proteins direct lamina-specific synaptic connections in vertebrate retina. Nature 451, 465–469. doi: 10.1038/nature06469

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamagata, M., and Sanes, J. R. (2010). Synaptic localization and function of Sidekick recognition molecules require MAGI scaffolding proteins. J. Neurosci. 30, 3579–3588. doi: 10.1523/JNEUROSCI.6319-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamagata, M., and Sanes, J. R. (2012a). Expanding the Ig superfamily code for laminar specificity in retina: expression and role of contactins. J. Neurosci. 32, 14402–14414.

PubMed Abstract | Google Scholar

Yamagata, M., and Sanes, J. R. (2012b). Transgenic strategy for identifying synaptic connections in mice by fluorescence complementation (GRASP). Front. Mol. Neurosci. 5:18. doi: 10.3389/fnmol.2012.00018

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamagata, M., Weiner, J. A., and Sanes, J. R. (2002). Sidekicks: synaptic adhesion molecules that promote lamina-specific connectivity in the retina. Cell 110, 649–660. doi: 10.1016/S0092-8674(02)00910-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, C., Kolodkin, A. L., Wong, R. O., and James, R. E. (2017). Establishing wiring specificity in visual system circuits: from the retina to the brain. Annu. Rev. Neurosci. 40, 395–424. doi: 10.1146/annurev-neuro-072116-031607

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Kim, I.-J., Sanes, J. R., and Meister, M. (2012). The most numerous ganglion cell type of the mouse retina is a selective feature detector. Proc. Natl. Acad. Sci. U.S.A. 109, E2391–E2398. doi: 10.1073/pnas.1211547109

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhuang, X., Masson, J., Gingrich, J. A., Rayport, S., and Hen, R. (2005). Targeted gene expression in dopamine and serotonin neurons of the mouse brain. J. Neurosci. Methods 143, 27–32. doi: 10.1016/j.jneumeth.2004.09.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: laminar specificity, synapse formation, retinal ganglion cell, amacrine cell, bipolar cell

Citation: Yamagata M and Sanes JR (2019) Expression and Roles of the Immunoglobulin Superfamily Recognition Molecule Sidekick1 in Mouse Retina. Front. Mol. Neurosci. 11:485. doi: 10.3389/fnmol.2018.00485

Received: 22 October 2018; Accepted: 13 December 2018;
Published: 09 January 2019.

Edited by:

Philip Washbourne, University of Oregon, United States

Reviewed by:

Karin Dedek, University of Oldenburg, Germany
Andreas Faissner, Ruhr-Universität Bochum, Germany
Johann Helmut Brandstätter, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

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*Correspondence: Joshua R. Sanes, c2FuZXNqQG1jYi5oYXJ2YXJkLmVkdQ==

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