Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 20 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 20 samples: 20 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancerNature communications · 2025
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE289468_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1223175 and SRA study SRP563636. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 20 sample titles: 20 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8791988 WCM0_2, H3K27ac, ChIP-seq
- GSM8791989 WCM0_2, H3K27me3, ChIP-seq
- GSM8791990 WCM0_3, H3K27ac, ChIP-seq
- GSM8791991 WCM0_3, H3K27me3, ChIP-seq
- GSM8791992 WCM0_4, H3K27ac, ChIP-seq
- GSM8791993 WCM0_4, H3K27me3, ChIP-seq
- GSM8791994 WCM12_Z13, H3K27ac, ChIP-seq
- GSM8791995 WCM12_Z13, H3K27me3, ChIP-seq
- GSM8791996 WCM159_1, H3K27ac, ChIP-seq
- GSM8791997 WCM159_1, H3K27me3, ChIP-seq
- GSM8791998 WCM159_2, H3K27ac, ChIP-seq
- GSM8791999 WCM159_2, H3K27me3, ChIP-seq
- GSM8792000 WCM159_Z6, H3K27ac, ChIP-seq
- GSM8792001 WCM159_Z6, H3K27me3, ChIP-seq
- GSM8792002 WCM677_1, H3K27ac, ChIP-seq
- GSM8792003 WCM677_1, H3K27me3, ChIP-seq
- GSM8792004 WCM677_3, H3K27ac, ChIP-seq
- GSM8792005 WCM677_3, H3K27me3, ChIP-seq
- GSM8792006 WCM90_Z21, H3K27ac, ChIP-seq
- GSM8792007 WCM90_Z21, H3K27me3, ChIP-seq
- GSE289467 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [CUT&Tag] 50 samples shares intraindividual, heterogeneity, epigenetic, underlying, phenotypic, subtypes, advanced, prostate
- GSE281743 Epigenetic Subtypes of High-Grade T1 Bladder Cancer Reveal Intra-Tumor Heterogeneity and Distinct Interactions with Tumor Microenvironment 41 samples shares heterogeneity, epigenetic, subtypes
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares epigenetic, subtypes
- GSE314776 Decoding 3D chromatin architecture reveals distinct enhancer classes underlying hierarchical gene regulation in prostate cancer [ChIP-Seq] 24 samples shares underlying, prostate
- GSE316497 Genotype-Epigenome-Phenotype Integration Reveals the Contributions of Peripheral Immune Cells to Bipolar Disorder Pathogenesis, Phenotypic Heterogeneity, and Therapy 1012 samples shares heterogeneity, phenotypic
- GSE302273 The evolution and heterogeneity of lethal metastatic bladder cancer subtypes 89 samples shares heterogeneity, subtypes
- GSE270503 Epigenetic heterogeneity and state-specific transcriptional programs determine differential drug response in osteosarcoma [Cut&Run] 56 samples shares heterogeneity, epigenetic
- GSE316337 Multi-omics profiling reveals microbiota, metabolite, lipid, and immunological heterogeneity underlying distinct pathophysiological mechanisms of age-related endotypes in type 1 diabetes 54 samples shares heterogeneity, underlying
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.