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 <b>SETD8</b> in epigenetic regulation and ferroptosis resistance in <b>ovarian </b><b>clear </b><b>cell </b><b>carcinoma (</b><b>OCCC)</b>.The <b>ChIP-</b><b>seq </b><b>component</b> comprises bigWig files representing genome-wide <b>H4K20me1 </b><b>occupancy</b> 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 <b>Figure </b><b>3</b> in the main manuscript.The <b>RNA-</b><b>seq </b><b>component</b> 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 <b>tximport</b>. Differential gene expression analysis was performed using <b>edgeR</b>.All datasets were processed using reproducible, community-validated pipelines (nf-core).