Biology subjects

Singer, J. H.

Publications and source records attributed to Singer, J. H..

6 recordsLinked to original sources

bioRxiv2023

Molecular identification of wide-field amacrine cells in mouse retina that encode stimulus orientation

Visual information processing in the retina is sculpted by a diverse group of inhibitory interneurons called amacrine cells. For most of the >60 amacrine cell types, molecular identities and specialized functional attributes remain unknown. Here, we developed an intersectional genetic strategy to target a group of wide-field amacrine cells (WACs) in mouse retina that co-express the transcription factor Bhlhe22 and the Kappa Opioid Receptor (KOR; B/K WACs). B/K WACs feature straight, unbranched dendrites spanning over 0.5 mm (~15 deg visual angle) and produce non-spiking responses to either light increments or decrements. Two-photon dendritic population imaging reveals Ca2+ signals tuned to the physical orientations of B/K WAC dendrites, signifying a robust structure-function alignment. B/K WACs establish divergent connections with multiple retinal neurons, including unexpected connections with non-orientation-tuned ganglion cells and bipolar cells. Our work sets the stage for future comprehensive investigations of the most enigmatic group of retinal neurons: WACs.

neuroscience↗

bioRxiv2021

Analysis of Rod/Cone Gap Junctions from the Reconstruction of Mouse Photoreceptor Terminals

Using serial blockface-scanning electron microscopy (SBF-SEM) and focused ion beam-scanning electron microscopy (FIB-SEM), combined with confocal microscopy for the gap junction protein Cx36, we reconstructed mouse photoreceptor terminals and located the gap junctions between them. An exuberant spray of fine telodendria extends from each cone pedicle (including blue cones) to contact 40-50 nearby rod spherules where Cx36 clusters were located, close to the mouth of the synaptic opening. There were approximately 50 Cx36 clusters per cone pedicle and 2-3 per rod spherule. We were unable to detect rod/rod or cone/cone coupling. Thus, rod/cone coupling accounts for nearly all gap junctions between photoreceptors. Our calculations suggest a mean of 82 Cx36 channels between a rod/cone pair of which 25% are open at rest. Rod/cone gap junctions are modulated by dopamine. Comparing our morphological calculations of maximum coupling to previous physiological results suggests that dopamine antagonists can drive rod/cone gap junctions to a surprisingly high open probability, approaching 100%.

neuroscience↗

bioRxiv2021

Dendro-somatic synaptic inputs to ganglion cells violate receptive field and connectivity rules in the mammalian retina

In retinal neurons, morphology strongly influences visual response features. Ganglion cell (GC) dendrites ramify in distinct strata of the inner plexiform layer (IPL) so that GCs responding to light increments (ON) or decrements (OFF) receive appropriate excitatory inputs. This vertical stratification prescribes response polarity and ensures consistent connectivity between cell types, whereas the lateral extent of GC dendritic arbors typically dictates receptive field (RF) size. Here, we identify circuitry in mouse retina that contradicts these conventions. A2 amacrine cells are interneurons understood to mediate "cross-over" inhibition by relaying excitatory input from the ON layer to inhibitory outputs in the OFF layer. Ultrastructural and physiological analyses show, however, that some A2s deliver powerful inhibition to OFF GC somas and proximal dendrites in the ON layer, rendering their inhibitory RFs smaller than their dendritic arbors. This OFF pathway, avoiding entirely the OFF region of the IPL, challenges several tenets of retinal circuitry.

neuroscience↗

bioRxiv2020

Atoh7-independent specification of retinal ganglion cell identity

Retinal ganglion cells (RGCs), which relay visual information from the eye to the brain, are the first cell type generated during retinal neurogenesis. Loss of function of the transcription factor Atoh7, which is expressed in multipotent early neurogenic retinal progenitor cells, leads to a selective and near complete loss of RGCs. Atoh7 has thus been considered essential for conferring competence on progenitors to generate RGCs. However, when apoptosis is inhibited in Atoh7-deficient mice by loss of function of Bax, only a modest reduction in RGC number is observed. Single-cell RNA-Seq of Atoh7;Bax-deficient retinas shows that RGC differentiation is delayed, but that RGC precursors are grossly normal. Atoh7;Bax-deficient RGCs eventually mature, fire action potentials, and incorporate into retinal circuitry, but exhibit severe axonal guidance defects. This study reveals an essential role for Atoh7 in RGC survival, and demonstrates Atoh7-independent mechanisms for RGC specification.

developmental biology↗

bioRxiv2020

Connectomic analysis reveals an interneuron with an integral role in the retinal circuit for night vision

The mammalian rod bipolar (RB) cell pathway is perhaps the best-studied circuit in the vertebrate retina. Its synaptic interactions with other retinal circuits, however, remain unresolved. Here, we combined anatomical and physiological analyses of the mouse retina to discover that the majority of synaptic inhibition to the AII amacrine cell (AC), the central neuron in the RB pathway, is provided by a single interneuron type: a multistratified, axon-bearing GABAergic AC, with dendrites in both ON and OFF synaptic layers, but with a pure ON (depolarizing) response to light. We used the nNOS-CreER mouse retina to confirm the identity of this interneuron as the wide-field NOS-1 AC. Our study demonstrates generally that novel neural circuits can be identified from targeted connectomic analyses and specifically that the NOS-1 AC mediates long-range inhibition during night vision and is a major element of the RB pathway.

neuroscience↗

bioRxiv2018

Functional characterization of retinal ganglion cells using tailored nonlinear modeling

There are 20-50 functionally- and anatomically-distinct ganglion cell types in the mammalian retina; each type encodes a unique feature of the visual world and conveys it via action potentials to the brain. Individual ganglion cells receive input from unique presynaptic retinal circuits, and the characteristic patterns of light-evoked action potentials in each ganglion cell type therefore reflect computations encoded in synaptic input and in postsynaptic signal integration and spike generation. Unfortunately, there is a dearth of tools for characterizing retinal ganglion cell computation. Therefore, we developed a statistical model, the separable Nonlinear Input Model, capable of characterizing the large array of distinct computations reflected in retinal ganglion cell spiking. We recorded ganglion cell responses to a correlated noise (\"cloud\") stimulus designed to accentuate the important features of retinal processing in an in vitro preparation of mouse retina and found that this model accurately predicted ganglion cell responses at high spatiotemporal resolution. It identified multiple receptive fields (RFs) reflecting the main excitatory and suppressive components of the response of each neuron. Most significantly, our model succeeds where others fail, accurately identifying ON-OFF cells and segregating their distinct ON and OFF selectivity and demonstrating the presence of different types of suppressive receptive fields. In total, our computational approach offers rich description of ganglion cell computation and sets a foundation for relating retinal computation to retinal circuitry.

neuroscience↗