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

A bioinformatic analysis dataset from figshare contains differential DNA-methylation and gene expression data from recessive dystrophic epidermolysis bullosa (RDEB) patient keratinocytes. Data was generated after a 4-week exposure to TGF-β1 or IL-6 cytokines and after a subsequent 4-week withdrawal period, using EPIC arrays and RNA-sequencing. The dataset, authored by Julia I. Hummel and last updated in May 2026, is 874.0 KB in size and shared under a CC-BY-4.0 license.

Use Cases

• Identify stable epigenetic changes in keratinocytes based on long-term cytokine exposure data.
• Analyze integrated transcriptomic and methylome pathways based on focal adhesion and p53 signaling enrichment.
• Investigate candidate genes like GPR68, FBLIM1, and ODF2 for their role in pro-tumorigenic shifts in RDEB.
• Study reversible versus long-lasting molecular alterations based on cytokine treatment and withdrawal timelines.

Strengths

• Includes data from two high-throughput molecular profiling techniques: EPIC arrays for DNA-methylation and RNA-sequencing for gene expression.
• Experimental design includes a 4-week treatment and a 4-week withdrawal period, allowing analysis of persistent changes.
• Analysis identified specific stably altered pathways and genes, with in vitro confirmation mentioned.

Limitations

• The dataset is small at 874.0 KB, indicating limited raw data or processed results only.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and structure require verification.

Provenance

Source

figshare

Collection Method

Data generated from RDEB keratinocytes following cytokine exposure, analyzed using R/Bioconductor packages.

Freshness

Last updated 2026-05-07 04:45:17; freshness should be verified.