Dataset Information

E-GEOD-67333

ABSTRACT: Transcriptomics profiling of Alzheimer's disease reveal novel molecular targets

OTHER RELATED OMICS DATASETS IN: PRJNA279526

DISEASE(S): Alzheimer's Disease,Normal

PROVIDER: E-GEOD-67333 | ExpressionAtlas | 2025-01-24

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	E-GEOD-67333-analysis-methods.tsv	Tabular
	E-GEOD-67333-analytics.tsv	Tabular
	E-GEOD-67333-analytics.tsv.undecorated	Tabular
	E-GEOD-67333-analytics.tsv.undecorated.unrounded	Tabular
	E-GEOD-67333-analytics.tsv.unrounded	Tabular

Items per page:

1 - 5 of 29

Similar Datasets

Project description:Alzheimer's disease (AD) is a chronic neurodegenerative disorder characterized by progressive deterioration of cognitive function. Evidence suggests a role for epigenetic regulation, in particular the cytosine modifications 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC,) in AD. 5hmC is highly enriched in the nervous system and displays neurodevelopment and age-related changes. To determine the role of 5hmC in AD, we performed genome-wide analyses of 5hmC in DNA from prefrontal cortex of post-mortem AD as well as RNA-Seq to correlate changes in methylation status with transcriptional changes. We also utilized the existing AD fly model to further test the functional significance of these epigenetically altered loci. We identified 325 genes containing differentially hydroxymethylated loci (DhMLs) in both the discovery and replication datasets, and these are enriched for pathways involved in neuron projection development and neurogenesis. Of the 325 genes identified, 140 also showed changes in gene expression by RNA-Seq. Proteins encoded by genes identified in the current analysis form direct protein-protein interactions with AD-associated genes, expanding the network of genes implicated in AD. Furthermore, we identified AD-associated single nucleotide polymorphisms (SNPs) located within or near DhMLs, suggesting that these SNPs may identify regions of epigenetic gene regulation that play a role in AD pathogenesis. Finally using the existing AD fly model we showed that some of these genes could modulate the toxicity associated with AD. Our data implicate neuron projection development and neurogenesis pathways as potential targets in AD. These results indicate that incorporating epigenomic and transcriptomic data with GWAS data can expand the known network of genes involved in disease pathogenesis. Combination of epigenome profiling and Drosophila model enables us to identify the epigenetic modifiers of Alzheimer's disease. University of Kentucky Alzheimer's Disease Research Center (3 control, 3 Alzheimer's) and Emory University Alzheimer's Disease Research Center (2 control, 2 Alzheimer's)

Dataset Information

E-GEOD-67333

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets