Aging Reprograms the Rhythmic Transcriptome in the Retina
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE300500 | GEO | 2025/06/24
REPOSITORIES: GEO
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Project description:Epigenetic modifiers to treat retinal degenerative diseases.
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Project description:Retinal function changes dramatically from day to night. Yet, clinical diagnosis, treatments, and experimental sampling occur during the day, leaving a significant gap in our understanding of the pathobiology occurring at night. While there is evidence that diabetes disrupts the circadian system that optimizes our physiology to the environmental light/dark cycle, the impact of such disruption is not well understood. This study investigates whether diabetes affects the retina's daily rhythm of gene expression to understand the pathobiology of diabetic retinopathy, a common complication of diabetes. Control and hyperglycemic littermate mice (Ins2Akita/J) were kept under a standard 12h:12h light/dark cycle until four months of age. Bulk mRNA sequencing was conducted in retinas collected every 4 hours throughout the 24 hr light/dark cycle. Computational approaches were used to detect rhythmicity, predict acrophase, identify differential rhythmic patterns, analyze phase set enrichment, and predict upstream regulators. The retinal transcriptome exhibited a tightly regulated rhythmic expression with a clear 12-hr axis of transcriptional rush, peaking at midday and midnight. The functions of day-peaking genes were enriched for DNA repair, RNA splicing, and ribosomal protein synthesis, whereas night-peaking genes were enriched for metabolic processes and growth factor signaling. Although the 12-hr transcriptional axis is retained in the diabetic retina, it was phase advanced by approximately 1-3 hours with a wider distribution. Upstream regulator analysis for the genes that showed phase shifts identified oxygen sensing mechanisms and HIF1alpha as regulators, but not the circadian clock, which remained in phase to the light/dark cycle. We propose a model in which early in diabetes, the diabetic retina experiences a ‘jet lag’ caused by the entrained circadian clock and its output being in one phase and metabolic pathways related to neuronal dysfunction and hypoxia driving advancement of gene expression to a different phase. Further studies are now required to evaluate the chronic implications of such internal jet lag for development of diabetic retinopathy.
2023-05-31 | GSE233440 | GEO
Project description:To investigate the role of the circadian clock of the photoreceptor cells in regulation of retinal protein rhythms, we have analyzed diurnal protein expression in the photoreceptor-deficient cone-rod homeobox knock out mouse (Crx-/-). Retinal homogenates of 129/sv and Crx-/- mice were analysed by 2D-PAGE. Differentially expressed spots were in-gel digested with trypsin and identified by LC-MS/MS. Data were used to search the Swiss-Prot protein database.
2017-04-04 | PXD005556 | Pride
Project description:Chronic ocular inflammation is associated with many retinal degenerative diseases that result in vision loss. The immune-privileged environment and complex organization of retinal tissue allow for the retina’s essential role in visual function processes, yet confound inquiries into cell-specific inflammatory effects that lead to retinal dysfunction and degeneration. Caveolin-1 (Cav1) is an integral membrane protein expressed in many retinal cell populations and has been implicated in retinal immune regulation. However, the direction (i.e., promotion or inhibition) in which Cav1 regulates inflammatory processes in the retina (as well as in other tissues) remains unclear. Previously, we showed that global-Cav1 depletion in the retina paradoxically resulted in reduced retinal inflammatory cytokine production with concurrent elevated retinal immune cell infiltration. We hypothesized that our previous results could be explained by cell-specific Cav1 functions in the retina. Here, we utilized our Chx10 (visual system homeobox 2)-Cre knockout model to deplete Cav1 specifically in the neural retinal (NR) compartment in order to clarify the role of neural retinal-specific Cav1 (NR-Cav1) in the retinal immune response to intravitreal LPS (lipopolysaccharide) challenge. Our data support that neural retinal-derived Cav1 promotes retinal tissue inflammation as Chx10-mediated Cav1 depletion was sufficient to suppress both retinal cytokine production and immune cell infiltration following inflammatory stimulation. Additionally, we identify Traf3 (tumor necrosis factor (TNF) receptor-associated factor 3) as a highly expressed potential immune modulator in retinal tissue that is upregulated with NR-Cav1 depletion. Furthermore, this study highlights the importance for understanding the role of Cav1 (and other proteins) in cell-specific contexts.
2021-09-08 | PXD016872 | Pride
Project description:Most genetic risk variants linked to ocular diseases are non-protein coding and presumably contribute to disease through dysregulation of gene expression, however, deeper understanding of their mechanisms of action has been impeded by an incomplete annotation of the transcriptional regulatory elements across different retinal cell types. To address this knowledge gap, we carried out single-cell multiomics assays to investigate gene expression, chromatin accessibility, DNA methylome and 3D chromatin architecture in human retina, macula, and retinal pigment epithelium (RPE). We identified 420,824 unique candidate regulatory elements and characterized their chromatin state in 23 sub-classes of retinal cells. Comparative analysis of chromatin landscapes between human and mouse retina cells revealed both evolutionarily conserved and divergent retinal gene-regulatory programs. Leveraging the rapid advancements in deep-learning techniques, we developed sequence-based predictors to interpret non-coding risk variants of retina diseases. Our study establishes retina-wide, single-cell transcriptome, epigenome, and 3D genome atlases, and provides a resource for studying the gene regulatory programs of the human retina, leading to mechanistic insights into a wide-spectrum of eye diseases.
2025-01-15 | GSE276864 | GEO
Project description:Most genetic risk variants linked to ocular diseases are non-protein coding and presumably contribute to disease through dysregulation of gene expression, however, deeper understanding of their mechanisms of action has been impeded by an incomplete annotation of the transcriptional regulatory elements across different retinal cell types. To address this knowledge gap, we carried out single-cell multiomics assays to investigate gene expression, chromatin accessibility, DNA methylome and 3D chromatin architecture in human retina, macula, and retinal pigment epithelium (RPE). We identified 420,824 unique candidate regulatory elements and characterized their chromatin state in 23 sub-classes of retinal cells. Comparative analysis of chromatin landscapes between human and mouse retina cells revealed both evolutionarily conserved and divergent retinal gene-regulatory programs. Leveraging the rapid advancements in deep-learning techniques, we developed sequence-based predictors to interpret non-coding risk variants of retina diseases. Our study establishes retina-wide, single-cell transcriptome, epigenome, and 3D genome atlases, and provides a resource for studying the gene regulatory programs of the human retina, leading to mechanistic insights into a wide-spectrum of eye diseases.
2025-01-15 | GSE276851 | GEO
Project description:Cone photoreceptors are the primary initiator of visual transduction in the human retina. Dysfunction or death of rod photoreceptors precedes cone loss in many retinal and macular degenerative diseases, suggesting a rod-dependent trophic support for cone survival. Rod differentiation and homeostasis are dependent on the basic motif leucine zipper transcription factor NRL. The loss of Nrl in mice (Nrl-/-) results in a retina with predominantly S-opsin containing cones that exhibit molecular and functional characteristics of WT cones. Here we report that Nrl-/- retina undergoes a rapid but transient period of degeneration in early adulthood, with cone apoptosis, retinal detachment, alterations in retinal vessel structure, and activation and translocation of retinal microglia. However, cone degeneration stabilizes by four months of age, resulting in a thinned but intact outer nuclear layer with residual cones expressing S- and M-opsins and a preserved photopic ERG. At this stage, microglia translocate back to the inner retina and reacquire a quiescent morphology. Gene profiling analysis during the period of transient degeneration reveals misregulation of stress response and inflammation genes, implying their involvement in cone death. The Nrl-/- retina illustrates the long-term viability of cones in the absence of rods and may serve as a model for elucidating mechanisms of cone homeostasis and degeneration that would be relevant to understanding diseases of the cone-dominant human macula. Targets were generated from a pair of retinas (one Nrl-/- mouse) per biological replicate. Four biological replicates were generated for each of the five aging timepoints (1, 2, 4, 6, and 10 months post natal).
2011-11-15 | E-GEOD-33674 | biostudies-arrayexpress
Project description:Most genetic risk variants linked to ocular diseases are non-protein coding and presumably contribute to disease through dysregulation of gene expression, however, deeper understanding of their mechanisms of action has been impeded by an incomplete annotation of the transcriptional regulatory elements across different retinal cell types. To address this knowledge gap, we carried out single-cell multiomics assays to investigate gene expression, chromatin accessibility, DNA methylome and 3D chromatin architecture in human retina, macula, and retinal pigment epithelium (RPE). We identified 420,824 unique candidate regulatory elements and characterized their chromatin state in 23 sub-classes of retinal cells. Comparative analysis of chromatin landscapes between human and mouse retina cells revealed both evolutionarily conserved and divergent retinal gene-regulatory programs. Leveraging the rapid advancements in deep-learning techniques, we developed sequence-based predictors to interpret non-coding risk variants of retina diseases. Our study establishes retina-wide, single-cell transcriptome, epigenome, and 3D genome atlases, and provides a resource for studying the gene regulatory programs of the human retina, leading to mechanistic insights into a wide-spectrum of eye diseases.
2025-01-15 | GSE277361 | GEO
Project description:Most genetic risk variants linked to ocular diseases are non-protein coding and presumably contribute to disease through dysregulation of gene expression, however, deeper understanding of their mechanisms of action has been impeded by an incomplete annotation of the transcriptional regulatory elements across different retinal cell types. To address this knowledge gap, we carried out single-cell multiomics assays to investigate gene expression, chromatin accessibility, DNA methylome and 3D chromatin architecture in human retina, macula, and retinal pigment epithelium (RPE). We identified 420,824 unique candidate regulatory elements and characterized their chromatin state in 23 sub-classes of retinal cells. Comparative analysis of chromatin landscapes between human and mouse retina cells revealed both evolutionarily conserved and divergent retinal gene-regulatory programs. Leveraging the rapid advancements in deep-learning techniques, we developed sequence-based predictors to interpret non-coding risk variants of retina diseases. Our study establishes retina-wide, single-cell transcriptome, epigenome, and 3D genome atlases, and provides a resource for studying the gene regulatory programs of the human retina, leading to mechanistic insights into a wide-spectrum of eye diseases.
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Project description:Most genetic risk variants linked to ocular diseases are non-protein coding and presumably contribute to disease through dysregulation of gene expression, however, deeper understanding of their mechanisms of action has been impeded by an incomplete annotation of the transcriptional regulatory elements across different retinal cell types. To address this knowledge gap, we carried out single-cell multiomics assays to investigate gene expression, chromatin accessibility, DNA methylome and 3D chromatin architecture in human retina, macula, and retinal pigment epithelium (RPE). We identified 420,824 unique candidate regulatory elements and characterized their chromatin state in 23 sub-classes of retinal cells. Comparative analysis of chromatin landscapes between human and mouse retina cells revealed both evolutionarily conserved and divergent retinal gene-regulatory programs. Leveraging the rapid advancements in deep-learning techniques, we developed sequence-based predictors to interpret non-coding risk variants of retina diseases. Our study establishes retina-wide, single-cell transcriptome, epigenome, and 3D genome atlases, and provides a resource for studying the gene regulatory programs of the human retina, leading to mechanistic insights into a wide-spectrum of eye diseases.
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