scholarly journals The Olivary Pretectal Nucleus Receives Visual Input of High Spatial Resolution

2020 ◽  
Author(s):  
Jared N. Levine ◽  
Gregory W. Schwartz
Keyword(s):  
Single Cell ◽  
Retinal Ganglion Cells ◽  
Ganglion Cells ◽  
Light Level ◽  
Single Type ◽  
Retinal Ganglion ◽  
Retinal Input ◽  
Wide Range ◽  
Pretectal Nucleus ◽  
Single Cell Type

AbstractIn the mouse, retinal output is computed by over 40 distinct types of retinal ganglion cells (RGCs) (Baden et al., 2016). Determining which of these many RGC types project to a retinorecipient region is a key step in elucidating the role that region plays in visually-mediated behaviors. Combining retrograde viral tracing and single-cell electrophysiology, we identify the RGC types which project to the olivary pretectal nucleus (OPN), a major visual structure. We find that retinal input to the OPN consists of a variety of intrinsically-photosensitive and conventional RGC types, the latter a diverse set of mostly ON RGCs. Surprisingly, while the OPN is most associated with the pupillary light reflex (PLR) pathway, requiring information about absolute luminance, we show that the majority of the retinal input to the OPN is from single cell type which transmits information unrelated to luminance. This ON-transient RGC accounts for two-thirds of the input to the OPN, and responds to small objects across a wide range of speeds. This finding suggests a role for the OPN in visually-mediated behaviors beyond the PLR.Significance statementThe olivary pretectal nucleus is a midbrain structure which receives direct input from retinal ganglion cells (RGC), and modulates pupil diameter in response to changing absolute light level. In the present study, we combine viral tracing and electrophysiology to identify the RGC types which project to the OPN. Surprisingly, the majority of its input comes from a single type which does not encode absolute luminance, but instead responds to small objects across a wide range of speeds. These findings are consistent with a role for the OPN apart from pupil control and suggest future experiments to elucidate its full role in visually-mediated behavior.

Light adaptation in the primate retina: Analysis of changes in gain and dynamics of monkey retinal ganglion cells

1990 ◽  
Vol 4 (1) ◽  
pp. 75-93 ◽  
Author(s):  
Keith Purpura ◽  
Daniel Tranchina ◽  
Ehud Kaplan ◽  
Robert M. Shapley
Keyword(s):  
Retinal Ganglion Cells ◽  
Negative Feedback ◽  
Light Adaptation ◽  
Ganglion Cells ◽  
Human Subjects ◽  
Light Level ◽  
Retinal Ganglion ◽  
M Cell ◽  
Feedback Model ◽  
Light Levels

AbstractThe responses of monkey retinal ganglion cells to sinusoidal stimuli of various temporal frequencies were measured and analyzed at a number of mean light levels. Temporal modulation tuning functions (TMTFs) were measured at each mean level by varying the drift rate of a sine-wave grating of fixed spatial frequency and contrast. The changes seen in ganglion cell temporal responses with changes in adaptation state were similar to those observed in human subjects and in turtle horizontal cells and cones tested with sinusoidally flickering stimuli; “Weber's Law” behavior was seen at low temporal frequencies but not at higher temporal frequencies. Temporal responses were analyzed in two ways: (1) at each light level, the TMTFs were fit by a model consisting of a cascade of low- and high-pass filters; (2) the family of TMTFs collected over a range of light levels for a given cell was fit by a linear negative feedback model in which the gain of the feedback was proportional to the mean light level. Analysis (1) revealed that the temporal responses of one class of monkey ganglion cells (M cells) were more phasic at both photopic and mesopic light levels than the responses of P ganglion cells. In analysis (2), the linear negative feedback model accounted reasonably well for changes in gain and dynamics seen in three P cells and one M cell. From the feedback model, it was possible to estimate the light level at which the dark-adapted gain of the cone pathways in the primate retina fell by a factor of two. This value was two to three orders of magnitude lower than the value estimated from recordings of isolated monkey cones. Thus, while a model which includes a single stage of negative feedback can account for the changes in gain and dynamics associated with light adaptation in the photopic and mesopic ranges of vision, the underlying physical mechanisms are unknown and may involve elements in the primate retina other than the cone.

scholarly journals Author Correction: Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Bruce A. Rheaume ◽  
Amyeo Jereen ◽  
Mohan Bolisetty ◽  
Muhammad S. Sajid ◽  
Yue Yang ◽  
...  
Keyword(s):  
Single Cell ◽  
Retinal Ganglion Cells ◽  
Ganglion Cells ◽  
Transcriptome Profiling ◽  
Retinal Ganglion ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

scholarly journals Architecture of retinal projections to the central circadian pacemaker

2016 ◽  
Vol 113 (21) ◽  
pp. 6047-6052 ◽  
Author(s):  
Diego Carlos Fernandez ◽  
Yi-Ting Chang ◽  
Samer Hattar ◽  
Shih-Kuo Chen
Keyword(s):  
Retinal Ganglion Cells ◽  
Ganglion Cells ◽  
Microscopic Analysis ◽  
Brain Regions ◽  
Retinal Ganglion ◽  
Circadian Pacemaker ◽  
Retinal Neurons ◽  
Retinal Input ◽  
Innervation Patterns ◽  
Left And Right

The suprachiasmatic nucleus (SCN) receives direct retinal input from the intrinsically photosensitive retinal ganglion cells (ipRGCs) for circadian photoentrainment. Interestingly, the SCN is the only brain region that receives equal inputs from the left and right eyes. Despite morphological assessments showing that axonal fibers originating from ipRGCs cover the entire SCN, physiological evidence suggests that only vasoactive intestinal polypeptide (VIP)/gastrin-releasing peptide (GRP) cells located ventrally in the SCN receive retinal input. It is still unclear, therefore, which subpopulation of SCN neurons receives synaptic input from the retina and how the SCN receives equal inputs from both eyes. Here, using single ipRGC axonal tracing and a confocal microscopic analysis in mice, we show that ipRGCs have elaborate innervation patterns throughout the entire SCN. Unlike conventional retinal ganglion cells (RGCs) that innervate visual targets either ipsilaterally or contralaterally, a single ipRGC can bilaterally innervate the SCN. ipRGCs form synaptic contacts with major peptidergic cells of the SCN, including VIP, GRP, and arginine vasopressin (AVP) neurons, with each ipRGC innervating specific subdomains of the SCN. Furthermore, a single SCN-projecting ipRGC can send collateral inputs to many other brain regions. However, the size and complexity of the axonal arborizations in non-SCN regions are less elaborate than those in the SCN. Our results provide a better understanding of how retinal neurons connect to the central circadian pacemaker to synchronize endogenous circadian clocks with the solar day.

scholarly journals Photoreceptor inputs to pupil control

2019 ◽  
Author(s):  
Manuel Spitschan
Keyword(s):  
Retinal Ganglion Cells ◽  
Pupil Size ◽  
Ganglion Cells ◽  
Light Level ◽  
Retinal Ganglion ◽  
Pupil Control ◽  
Data Set

AbstractThe size of the pupil depends on light level. Watson & Yellott (2012) developed a unified formula to predict pupil size from luminance, field diameter, age, and number of eyes. Luminance reflects input from the L and M cones in the retina but ignores the contribution of intrinsically photosensitive retinal ganglion cells (ipRGCs) expressing the photopigment melanopsin, which are known to control the size of the pupil. We discuss the role of melanopsin in controlling pupil size by reanalysing an extant data set. We confirm that melanopsin-weighted quantities, in conjunction with Watson & Yellott’s formula, adequately model intensity-dependent pupil size. We discuss the contributions of other photoreceptors into pupil control.

The Curved Grid Non-Illusions

2017 ◽  
Author(s):  
János Geier ◽  
Mariann Hudák
Keyword(s):  
Statistical Analysis ◽  
Retinal Ganglion Cells ◽  
Line Width ◽  
Ganglion Cells ◽  
Receptive Fields ◽  
Retinal Ganglion ◽  
Illusory Effect ◽  
Grid Line ◽  
Wide Range ◽  
Hermann Grid Illusion

The generally accepted explanation of the Hermann grid illusion is Baumgartner’s hypothesis that the illusory effect is generated by the response of retinal ganglion cells with concentric ON-OFF or OFF-ON receptive fields. To challenge this explanation, some simple distortions to the grid lines were introduced that make the illusion disappear totally, while all preconditions of Baumgartner’s hypothesis remained unchanged. Psychophysical experiments in which the distortion tolerance was measured showed the level of distortion at which the illusion disappears at a given type of distortion for a given subject. Statistical analysis shows that the distortion tolerance is independent of grid-line width within a wide range and of the type of distortion, except when one side of each line remains straight. The conclusion is the main cause of the Hermann grid illusion is the straightness of the edges of the grid lines. Similar results have been obtained in the scintillating grid.

scholarly journals Single Cell Sequencing of Induced Pluripotent Stem Cell Derived Retinal Ganglion Cells (iPSC-RGC) Reveals Distinct Molecular Signatures and RGC Subtypes

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 2015
Author(s):  
Harini V. Gudiseva ◽  
Vrathasha Vrathasha ◽  
Jie He ◽  
Devesh Bungatavula ◽  
Joan M. O’Brien ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Single Cell ◽  
Retinal Ganglion Cells ◽  
Pluripotent Stem Cell ◽  
Ganglion Cells ◽  
Induced Pluripotent Stem Cell ◽  
Retinal Ganglion ◽  
Single Cell Sequencing ◽  
Induced Pluripotent

We intend to identify marker genes with differential gene expression (DEG) and RGC subtypes in cultures of human-induced pluripotent stem cell (iPSC)-derived retinal ganglion cells. Single-cell sequencing was performed on mature and functional iPSC-RGCs at day 40 using Chromium Single Cell 3’ V3 protocols (10X Genomics). Sequencing libraries were run on Illumina Novaseq to generate 150 PE reads. Demultiplexed FASTQ files were mapped to the hg38 reference genome using the STAR package, and cluster analyses were performed using a cell ranger and BBrowser2 software. QC analysis was performed by removing the reads corresponding to ribosomal and mitochondrial genes, as well as cells that had less than 1X mean absolute deviation (MAD), resulting in 4705 cells that were used for further analyses. Cells were separated into clusters based on the gene expression normalization via PCA and TSNE analyses using the Seurat tool and/or Louvain clustering when using BBrowser2 software. DEG analysis identified subsets of RGCs with markers like MAP2, RBPMS, TUJ1, BRN3A, SOX4, TUBB3, SNCG, PAX6 and NRN1 in iPSC-RGCs. Differential expression analysis between separate clusters identified significant DEG transcripts associated with cell cycle, neuron regulatory networks, protein kinases, calcium signaling, growth factor hormones, and homeobox transcription factors. Further cluster refinement identified RGC diversity and subtype specification within iPSC-RGCs. DEGs can be used as biomarkers for RGC subtype classification, which will allow screening model systems that represent a spectrum of diseases with RGC pathology.

Sustained tetracycline-regulated transgene expressionin vivo in rat retinal ganglion cells using a single type 2 adeno-associated viral vector

2003 ◽  
Vol 5 (6) ◽  
pp. 493-501 ◽  
Author(s):  
Sebastien Folliot ◽  
Delphine Briot ◽  
Herv� Conrath ◽  
Nathalie Provost ◽  
Yan Cherel ◽  
...  
Keyword(s):  
Retinal Ganglion Cells ◽  
Viral Vector ◽  
Ganglion Cells ◽  
Single Type ◽  
Retinal Ganglion

scholarly journals Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Bruce A. Rheaume ◽  
Amyeo Jereen ◽  
Mohan Bolisetty ◽  
Muhammad S. Sajid ◽  
Yue Yang ◽  
...  
Keyword(s):  
Single Cell ◽  
Retinal Ganglion Cells ◽  
Ganglion Cells ◽  
Transcriptome Profiling ◽  
Retinal Ganglion ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

scholarly journals Two Metabotropic γ-Aminobutyric Acid Receptors Differentially Modulate Calcium Currents in Retinal Ganglion Cells

1997 ◽  
Vol 110 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Jian Zhang ◽  
Wen Shen ◽  
Malcolm M. Slaughter
Keyword(s):  
Retinal Ganglion Cells ◽  
Gaba Receptors ◽  
Gaba Receptor ◽  
Ganglion Cells ◽  
Calcium Currents ◽  
Gabab Receptors ◽  
Aminobutyric Acid ◽  
Retinal Ganglion ◽  
Wide Range ◽  
Prepulse Facilitation

Metabotropic γ-aminobutyric acid (GABA) receptors were studied in amphibian retinal ganglion cells using whole cell current and voltage clamp techniques. The aim was to identify the types of receptor present and their mechanisms of action and modulation. Previous results indicated that ganglion cells possess two ionotropic GABA receptors: GABAAR and GABACR. This study demonstrates that they also possess two types of metabotropic GABAB receptor: one sensitive to baclofen and another to cis-aminocrotonic acid (CACA). The effects of these selective agonists were blocked by GDP-β-S. Baclofen suppressed an ω-conotoxin–GVIA-sensitive barium current, and this action was reversed by prepulse facilitation, indicative of a direct G-protein pathway. The effect of baclofen was also partially occluded by agents that influence the protein kinase A (PKA) pathway. But the effect of PKA activation was unaffected by prepulse facilitation, indicating PKA acted through a parallel pathway. Calmodulin antagonists reduced the action of baclofen, whereas inhibitors of calmodulin phosphatase enhanced it. Antagonists of internal calcium release, such as heparin and ruthenium red, did not affect the baclofen response. Thus, the baclofen-sensitive receptor may respond to influx of calcium. The CACA-sensitive GABA receptor reduced current through dihydropyridine-sensitive channels. Sodium nitroprusside and 8-bromo-cGMP enhanced the action of CACA, indicating that a nitric oxide system can up-regulate this receptor pathway. CACA-sensitive and baclofen-sensitive GABAB receptors reduced spike activity in ganglion cells. Overall, retinal ganglion cells possess four types of GABA receptor, two ionotropic and two metabotropic. Each has a unique electrogenic profile, providing a wide range of neural integration at the final stage of retinal information processing.

Sign in / Sign up

Export Citation Format

Share Document