Long-term Cytokine Exposure Effects on RDEB Keratinocytes Methylome and Transcriptome

Bioinformatic analysis data from recessive dystrophic epidermolysis bullosa keratinocytes exposed to TGF-β1 or IL-6 for 4 weeks. Julia I. Hummel generated differential DNA-methylation and gene expression data using EPIC arrays and RNA-sequencing, identifying reversible and long-lasting molecular changes. The dataset was last updated on 2026-05-07.

Use Cases

• Identify stable cytokine-driven transcriptomic changes based on RNA-sequencing data mentioned in the description
• Analyze differential DNA-methylation patterns based on EPIC array data mentioned in the description
• Integrate methylome and transcriptome data to find persistently deregulated genes based on the described bioinformatic analysis
• Investigate enrichment of disease-associated pathways like focal adhesion and p53 signaling based on the results described

Strengths

• Data integrates both transcriptomic (RNA-seq) and methylome (EPIC array) measurements
• Analysis includes a 4-week treatment withdrawal period to assess stability of changes
• Dataset is licensed under CC-BY-4.0 for open reuse

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is 1.8 MB, suggesting a relatively small scale

Provenance

Source

figshare

Collection Method

Data generated from RDEB keratinocytes following cytokine exposure using EPIC arrays and RNA-sequencing, analyzed with R/Bioconductor packages.

Freshness

Last updated 2026-05-07 04:45:18; freshness should be verified