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Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes

GSE302930 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 92 samples Submitted 2026/02/16 Platform GPL11154
Summary
We performed histone ChIP-seq, the Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq), and RNA sequencing (RNA-seq) on 28 fresh frozen bladder/upper tract tumor samples. We integrated 64 unique data sets to gain a holistic view of gene regulation in bladder cancer expression/molecular subtypes and nominated candidate subtype-specific master transcription factors (TF) driving expression differences. We also integrated bladder GWAS risk SNPs with H3K27ac ChIP-seq and ATAC-seq data and revealed that risk variants were significantly enriched in genetically determined peaks
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Direct links to NCBI, no account and no request form: the whole study as GSE302930_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 92 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1292852 and SRA study SRP601648. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 92 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study

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