Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [CUT&Tag]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 50 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
- 50 samples: 50 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 GSE289467_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 PRJNA1223174 and SRA study SRP563632. 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 50 sample titles: 50 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.
- GSM8791938 DFCI23_Z3, H3K27ac, CUT&Tag
- GSM8791939 DFCI23_Z3, H3K27me3, CUT&Tag
- GSM8791940 DFCI24_Z2, H3K27ac, CUT&Tag
- GSM8791941 DFCI24_Z2, H3K27me3, CUT&Tag
- GSM8791942 DFCI24_Z3, H3K27ac, CUT&Tag
- GSM8791943 WCM1070_Z4, H3K27ac, CUT&Tag
- GSM8791944 WCM1070_Z4, H3K27me3, CUT&Tag
- GSM8791945 WCM1070_Z5, H3K27ac, CUT&Tag
- GSM8791946 WCM1070_Z5, H3K27me3, CUT&Tag
- GSM8791947 WCM1070_Z6, H3K27ac, CUT&Tag
- GSM8791948 WCM1070_Z6, H3K27me3, CUT&Tag
- GSM8791949 WCM1070_Z7, H3K27ac, CUT&Tag
- GSM8791950 WCM1070_Z7, H3K27me3, CUT&Tag
- GSM8791951 WCM1070_Z8, H3K27ac, CUT&Tag
- GSM8791952 WCM1070_Z8, H3K27me3, CUT&Tag
- GSM8791953 WCM1358_Z2, H3K27ac, CUT&Tag
- GSM8791954 WCM1358_Z2, H3K27me3, CUT&Tag
- GSM8791955 WCM1358_Z3, H3K27ac, CUT&Tag
- GSM8791956 WCM1358_Z3, H3K27me3, CUT&Tag
- GSM8791957 WCM2549_Z1, H3K27ac, CUT&Tag
- GSM8791958 WCM2549_Z1, H3K27me3, CUT&Tag
- GSM8791959 WCM2549_Z2, H3K27ac, CUT&Tag
- GSM8791960 WCM2549_Z2, H3K27me3, CUT&Tag
- GSM8791961 WCM2549_Z3, H3K27ac, CUT&Tag
- GSM8791962 WCM2549_Z3, H3K27me3, CUT&Tag
- GSM8791963 WCM2549_Z4, H3K27ac, CUT&Tag
- GSM8791964 WCM2549_Z4, H3K27me3, CUT&Tag
- GSM8791965 WCM2549_Z5, H3K27ac, CUT&Tag
- GSM8791966 WCM2549_Z5, H3K27me3, CUT&Tag
- GSM8791967 WCM2549_Z6, H3K27ac, CUT&Tag
- GSM8791968 WCM2549_Z6, H3K27me3, CUT&Tag
- GSM8791969 WCM2848_X1, H3K27me3, CUT&Tag
- GSM8791970 WCM493_Z1, H3K27ac, CUT&Tag
- GSM8791971 WCM493_Z1, H3K27me3, CUT&Tag
- GSM8791972 WCM63_Z11, H3K27ac, CUT&Tag
- GSM8791973 WCM63_Z11, H3K27me3, CUT&Tag
- GSM8791974 WCM63_Z3, H3K27ac, CUT&Tag
- GSM8791975 WCM63_Z3, H3K27me3, CUT&Tag
- GSM8791976 WCM63_Z4, H3K27ac, CUT&Tag
- GSM8791977 WCM63_Z4, H3K27me3, CUT&Tag
+ 10 more — browse all 50 samples with per-sample file links →
- GSE270503 Epigenetic heterogeneity and state-specific transcriptional programs determine differential drug response in osteosarcoma [Cut&Run] 56 samples shares cut, heterogeneity, epigenetic
- 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
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares cut, epigenetic
- GSE303343 A unified network systems approach uncovers a core program underlying T follicular helper cell differentiation [CUT&RUN] 48 samples shares cut, underlying
- GSE315216 Lysine Pyruvylation Mediated by HAT1/p300-SIRT3 Couples Glycolytic Flux to Epigenetic Regulation [CUT&Tag] 12 samples shares cut, epigenetic
- GSE277275 Multi-omics Sequencing reveals Epigenetic Regulation in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma [m6A-seq] 40 samples shares cut, epigenetic
- GSE249080 Epigenetic Regulation of Non-canonical Menin Targets Modulates Menin Inhibitor Response in Acute Myeloid Leukemia 40 samples shares cut, epigenetic
- 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
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.