Transcriptomic Profiles of Antioxidant Treatments in Human Skin Cells
by Beomsu Kim·Updated 3mo ago
1.9 MB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A collection of 197 differentially expressed genes (DEGs) identified from RNA sequencing of human epidermal keratinocytes, melanocytes, and fibroblasts treated with chlorogenic acid, taurine, or their combination. It prioritizes 62 aging-related DEGs (AR-DEGs) linked to skin aging and anti-senescence pathways. The data was generated by Beomsu Kim and published on figshare in March 2026.
Use Cases
Analyze the 197 differentially expressed genes (DEGs) to identify common regulatory patterns across keratinocytes, melanocytes, and fibroblast cell types.
Investigate the 62 prioritized aging-related DEGs (AR-DEGs), such as FST, for associations with skin aging phenotypes like perceived age and pigmentation.
Examine gene expression changes following co-treatment to identify synergistic responses between chlorogenic acid and taurine.
Validate key regulatory transcription factors like TGFB2, ETS1, and EGR1 identified in anti-senescence-associated pathways using the transcriptomic data.
Strengths
Focuses on 197 differentially expressed genes (DEGs) specifically related to antioxidant treatments in skin cells.
Prioritizes 62 aging-related DEGs (AR-DEGs) based on integration of evidence from aging databases, GWAS, and pathway annotations.
Data is recent, last updated in March 2026.
Limitations
The dataset is small at 1.9 MB, suggesting limited scope or aggregated summary data rather than raw sequencing reads.
Specific sample size (rows) and column structure are unknown, limiting detailed reproducibility and analysis.
Findings are derived from in vitro cell culture models (keratinocytes, melanocytes, fibroblasts), which may not fully reflect in vivo skin biology.
Provenance
Source
figshare, author Beomsu Kim.
Collection Method
Transcriptome-wide RNA sequencing of treated human skin cells, integrated with evidence from aging databases, GWAS, and pathway analysis.
Freshness
Last updated 2026-03-20.
Dataset is provided as a single 1.9 MB XLSX file; unknown internal structure requires inspection. License is CC BY 4.0.