Subcellular pathways through VGluT3-expressing mouse amacrine cells provide locally tuned object-motion-selective signals in the retina
Year: 2024
Type: article
Abstract: VGluT3-expressing mouse retinal amacrine cells (VG3s) respond to small-object motion and connect to multiple types of bipolar cells (inputs) and retinal ganglion cells (RGCs, outputs). Because these input and output connections are intermixed on the same dendrites, making sense of VG3 circuitry requires comparing the distribution of synapses across their arbors to the subcellular flow of signals. Here, we combine subcellular calcium imaging and electron microscopic connectomic reconstruction to analyze how VG3s integrate and transmit visual information. VG3s receive inputs from all nearby bipolar cell types but exhibit a strong preference for the fast type 3a bipolar cells. By comparing input distributions to VG3 dendrite responses, we show that VG3 dendrites have a short functional length constant that likely depends on inhibitory shunting. This model predicts that RGCs that extend dendrites into the middle layers of the inner plexiform encounter VG3 dendrites whose responses vary according to the local bipolar cell response type.
Source: Nature Communications
Authors: Karl Friedrichsen, Jen-Chun Hsiang, Chin-I Lin, Liam McCoy, Katia Valkova, Daniel Kerschensteiner, Josh L. Morgan
Institution: Washington University in St. Louis
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,790
Awards: Tools and approaches for functional connectomics of dense neuropils, Development and function of glomerular microcircuits in the visual thalamus, G2913683484, Neuronal plasticity in retinal circuit development and disease, Core Grant for Vision Research, G4482858648, G5390852358, Interdisciplinary Training in Vision Science, Synapse rescue and neuroprotection in the retina, Synaptic Organization and Function of Retinal Interneurons and Downstream Visual Pathways
OpenAlex ID: W4393972382
