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To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ydbio.2008.02.055 Byline: Crystal L. Sigulinsky (a)(b), Eric S. Green (a), Anna M. Clark (a), Edward M. Levine (a)(c) Keywords: Retina; Eye; Ocular retardation J; Histogenesis; Stem cell; Homeobox; Homeodomain; Sonic Hedgehog; Hhip; Gli1 Abstract: Vertebrate retinal progenitor cells (RPCs) undergo a robust proliferative expansion to produce enough cells for the retina to form appropriately. Vsx2 (formerly Chx10), a homeodomain protein expressed in RPCs, is required for sufficient proliferation to occur. Sonic Hedgehog protein (SHH), secreted by retinal ganglion cells (RGCs), activates Hedgehog (Hh) signaling in RPCs and is also required for sufficient proliferation to occur. Therefore, we sought to determine if reduced Hh signaling is a contributing factor to the proliferation changes that occur in the absence of Vsx2. To do this, we examined Shh expression and Hh signaling activity in the homozygous ocular retardation J (orJ) mouse, which harbors a recessive null allele in the Vsx2 gene. We found that Shh expression and Hh signaling activity are delayed during early retinal development in orJ mice and this correlates with a delay in the onset of RGC differentiation. At birth, reduced expression of genes regulated by Hh signaling was observed despite the production of SHH ligand. orJ RPCs respond to pre-processed recombinant SHH ligand (SHH-N) in explant culture as evidenced by increased proliferation and expression of Hh target genes. Interestingly, proliferation in the orJ retina is further inhibited by cyclopamine, an antagonist of Hh signaling. Our results suggest that reduced Hh signaling contributes to the reduced level of RPC proliferation in the orJ retina, thereby revealing a role for Vsx2 in mediating mitogen signaling. Author Affiliation: (a) Department of Ophthalmology and Visual Sciences, John A. Moran Eye Center, University of Utah, Salt Lake City, UT, USA (b) Graduate Program in Neuroscience, University of Utah, Salt Lake City, UT, USA (c) Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, UT, USA Article History: Received 14 October 2007; Revised 7 February 2008; Accepted 29 February 2008

The basis of cross‐suppression between rod and cone channels has long been an enigma. Using rabbit retinal connectome RC1, we show that all cone bipolar cell (BC) classes inhibit rod BCs via amacrine cell (AC) motifs (C1–6); that all cone BC classes are themselves inhibited by AC motifs (R1–5, R25) driven by rod BCs. A sparse symmetric AC motif (CR) is presynaptic and postsynaptic to both rod and cone BCs. ON cone BCs of all classes drive inhibition of rod BCs via motif C1 wide‐field GABAergic ACs (γACs) and motif C2 narrow field glycinergic ON ACs (GACs). Each rod BC receives ≈10 crossover AC synapses and each ON cone BC can target ≈10 or more rod BCs via separate AC processes. OFF cone BCs mediate monosynaptic inhibition of rod BCs via motif C3 driven by OFF γACs and GACs and disynaptic inhibition via motifs C4 and C5 driven by OFF wide‐field γACs and narrow‐field GACs, respectively. Motifs C4 and C5 form halos of 60–100 inhibitory synapses on proximal dendrites of AI γACs. Rod BCs inhibit surrounding arrays of cone BCs through AII GAC networks that access ON and OFF cone BC patches via motifs R1, R2, R4, R5 and a unique ON AC motif R3 that collects rod BC inputs and targets ON cone BCs. Crossover synapses for motifs C1, C4, C5, and R3 are 3–4× larger than typical feedback synapses, which may be a signature for synaptic winner‐take‐all switches. J. Comp. Neurol. 527:87–116, 2019. © 2016 The Authors The Journal of Comparative Neurology Published by Wiley Periodicals, Inc. Ultrastructural and network graph visualization allows mapping of amacrine cell motifs whereby cone bipolar cells inhibit rod bipolar cells (C motifs) and vice versa (R motifs). Many crossover synapses are exceptionally large, which may be a signature for synaptic winner‐take‐all switches. [ABSTRACT FROM AUTHOR]

The retina is an ideal model for understanding the fundamental rules for how neural networks are constructed. The compact neural networks of the retina perform all of the initial processing of visual information before transmission to higher visual centers in the brain. The field of retinal connectomics uses high-resolution electron microscopy datasets to map the intricate organization of these networks and further our understanding of how these computations are performed by revealing the fundamental topologies and allowable networks behind retinal computations. In this article, we review some of the notable advances that retinal connectomics has provided in our understanding of the specific cells and the organization of their connectivities within the retina, as well as how these are shaped in development and break down in disease. Using these anatomical maps to inform modeling has been, and will continue to be, instrumental in understanding how the retina processes visual signals.