Integrated transcriptomic and epigenomic analysis of SETD8 in ovarian clear cell carcinoma

This dataset contains both ChIP-seq and RNA-seq data generated as part of a study investigating the role of the histone methyltransferase SETD8 in epigenetic regulation and ferroptosis resistance in ovarian clear cell carcinoma (OCCC).
The ChIP-seq component comprises bigWig files representing genome-wide H4K20me1 occupancy profiles in four OCCC cell lines. Chromatin immunoprecipitation was performed using an antibody specific for monomethylated histone H4 at lysine 20 (H4K20me1), followed by high-throughput sequencing and computational processing to generate strand-independent, normalized coverage tracks (bigWig format) suitable for quantitative analysis and visualization. All samples were processed using a standardized pipeline, with alignment to the human reference genome (hg38). These data correspond to Figure 3 in the main manuscript.The RNA-seq component includes raw read count matrices (gene-level) derived from the same OCCC cell lines transfected with SETD8-targeting or control DsiRNAs. RNA-seq libraries were prepared and sequenced using a strand-specific, polyA-enriched protocol, and transcript abundance was quantified using Salmon and summarized using tximport. Differential gene expression analysis was performed using edgeR.All datasets were processed using reproducible, community-validated pipelines (nf-core).