Project description:This SuperSeries is composed of the following subset Series: GSE28002: Gene expression of the whole mouse eye GSE28032: Epigenetic Regulation of IL17RC in Age-related Macular Degeneration (MeDIP-chip) Refer to individual Series
Project description:Age-related macular degeneration has a strong epidemiological association with cardiovascular disease. One pathogenic hypothesis that applies to both diseases is the concept of an abnormal cellular response to injury resulting in a disease phenotype. It has been hypothesized that this phenotype is also present in dermal fibroblasts. This study tests this hypothesis by examination of the expression profiles of fibroblasts obtained from diseased patients and subjected to sublethal cell injury. Keywords: other
Project description:<p>Identifying genetic risk loci for Age-Related Macular Degeneration is important. Most of the loci identified to date have been found through the interrogation of common variants. This study initiates the identification of rare variants in a founder population, the Amish, and will use genotyping of known risk loci and ultimately use the whole exome chip to assess the association of Age-related Macular Degeneration with coding variants. We will further refine the Age-Related Macular Degeneration phenotype through the use of modern imaging, the OCT, to visualize the early anatomic signs of Age-Related Macular Degeneration. We hypothesize there are endophenotypes associated with specific genotypes that can be used to determine Age-related Macular Degeneration progression. These endophenotypes are hypothesized to be influenced by a combination of common and rare variants. We will relate these endophenotypes to genotypes to define the role of genetics in the progression of Age-Related Macular Degeneration and a new risk profile incorporating genotypic information.</p>
Project description:Due to commonalities in pathophysiology, age-related macular degeneration represents a uniquely accessible model to investigate therapies for neurodegenerative diseases, leading us to examine whether pathways of disease progression are shared across neurodegenerative conditions. Here we use single-nucleus RNA sequencing to profile lesions from 17 retinas with age-related macular degeneration and controls. We create a machine learning pipeline based on recent advances in data geometry and topology and identify activated glial populations enriched in the early phase of disease. Examining single-cell data from Alzheimer’s disease and progressive multiple sclerosis with our pipeline, we find a similar glial activation profile enriched in the early phase of these neurodegenerative diseases. In late-stage age-related macular degeneration, we identify a microglia-to-astrocyte signaling axis mediated by interleukin-1beta which drives angiogenesis characteristic of disease pathogenesis. Thus, due to shared glial states, the retina provides a system for investigating therapeutic approaches in neurodegenerative diseases.
Project description:Illumina Infinium HumanMethylation450 BeadChip data from genomic DNA of retinal pigment epithelium from Age-related Macular Degeneration patients or age-matched controls.
Project description:We profiled using single cell RNA sequencing the peripheral blood mononuclear cells from control patients and patients with age-related macular degeneration (AMD).
Project description:Age-related macular degeneration has a strong epidemiological association with cardiovascular disease. One pathogenic hypothesis that applies to both diseases is the concept of an abnormal cellular response to injury resulting in a disease phenotype. It has been hypothesized that this phenotype is also present in dermal fibroblasts. This study tests this hypothesis by examination of the expression profiles of fibroblasts obtained from diseased patients and subjected to sublethal cell injury.