Decoding 3D chromatin architecture reveals distinct enhancer classes underlying hierarchical gene regulation in prostate cancer [RNA-Seq]
RNA-seq (gene expression) · human · 21 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 21 samples
- 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
- Decoding 3D chromatin architecture reveals distinct enhancer classes underlying hierarchical gene regulation in prostate cancerGenome biology · 2026
Read the full summary ↓
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 GSE314775_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1392581 and SRA study SRP657412. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 21 more — browse all 21 samples with per-sample file links →
- GSE314776 Decoding 3D chromatin architecture reveals distinct enhancer classes underlying hierarchical gene regulation in prostate cancer [ChIP-Seq] 24 samples shares architecture, hierarchical, underlying, chromatin, decoding, distinct, enhancer, prostate
- GSE314777 Decoding 3D chromatin architecture reveals distinct enhancer classes underlying hierarchical gene regulation in prostate cancer 10 samples shares architecture, hierarchical, underlying, chromatin, decoding, distinct, enhancer, prostate
- GSE324131 A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasis 38 samples shares underlying, prostate
- GSE337246 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [scRNA-Seq organoids] 35 samples shares architecture, chromatin
- GSE324453 Dissecting the cellular architecture of breast cancer brain metastases reveals prognostically distinct immune landscapes [snRNA-Seq] 28 samples shares architecture, distinct
- GSE268035 STAG2 Mutations Reshape the Cohesin-Structured Spatial Chromatin Architecture to Drive Gene Regulation in Acute myeloid Leukemia 541 samples shares architecture, chromatin
- GSE215328 Pivotal Role of the NuRD Complex in Remodeling Chromatin Environment and Maintaining Genome Architecture at CTCF Sites [hESC_H9_d049_ChIP_Seq] 135 samples shares architecture, chromatin
- GSE289467 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [CUT&Tag] 50 samples shares underlying, prostate
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.