GEO series
Epic Methylation analysis on Glycogen Storage Disorder type 1a and Healthy Controls fibroblasts
Summary
An analysis of differences in the genomic methylation pattern between GSD1a and HC samples using the Illumina EPIC V2 array as shown in the Disease-associated programming of cell memory in glycogen storage disorder type 1a manuscript. To assess the global differences between samples from the two groups, we used the full dataset of processed probes and initially performed a regression analysis with the aim to assess the in-group variability for each of HC and GSD1a groups tested. Results from this analysis showed lower variability in the GSD1a group which implies that GSD1a fibroblasts present a methylation phenotype that is consistent between group samples as compared to the HC samples. These differences were also observed by an unsupervised clustering analysis that we performed based on K-means searching for two clusters between our 8 tested samples and by PCA. Differential methylation analysis comparing GSD1a to HC cells was performed. Thousands of significantly different probe signals between the groups were found. Differential methylation region analysis which is based on methylated probes distribution located at similar regions in the genome, obtained many differentially methylated regions (DMR) between the groups. GSEA comparing GSD1a cells to HC cells using the methylation dataset and the GO database revealed significantly enriched pathways related to lysosomal and metabolic pathways. In addition, pathways related to epigenetic modifications are also differentially enriched between GSD1a and HC cells. An integratino of this experiment with ATAC-seq and RNA-seq data is shown in the manuscript.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human methylation datasets →
Similar datasets
- GSE277273 Multi-omics Sequencing reveals Epigenetic Regulation in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma [850K DNA methylation array] 20 samples
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE316079 SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome [ATAC-seq] 6 samples
- GSE323364 Coordinating catalytic and non-canonical functions of EZH2 sensitizes tumors to CAR-T cell therapy 42 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE306129 Spatial biology reveals macrophage dysfunction in immunosuppressed non-melanoma skin cancer [spatial_ATAC] 28 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.