Spatial tumor immune heterogeneity facilitates subtype co-existence and therapy response via AP1 dichotomy in pancreatic cancer
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 23 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
- 23 samples: 8 conditions, mostly in triplicateGroups 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
- Spatial tumor immune heterogeneity facilitates subtype co-existence and therapy response in pancreatic 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 GSE276324_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 PRJNA1156624 and SRA study SRP530445. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 8 replicated groups read from 23 sample titles; they account for 21 of them. 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.
- GSM7851559 CAPAN1, siCtrl, Rep1 CAPAN1, siCtrl,
- GSM7851560 CAPAN1, siCtrl, Rep2 CAPAN1, siCtrl,
- GSM7851561 CAPAN1, siCtrl, Rep3 CAPAN1, siCtrl,
- GSM7851562 CAPAN1, siJUNB, Rep1 CAPAN1, siJUNB,
- GSM7851563 CAPAN1, siJUNB, Rep2 CAPAN1, siJUNB,
- GSM7851564 CAPAN1, siJUNB, Rep3 CAPAN1, siJUNB,
- GSM7851565 CAPAN1 inVivo, VC, 1 CAPAN1 inVivo, VC,
- GSM7851566 CAPAN1 inVivo, VC, 2 CAPAN1 inVivo, VC,
- GSM7851567 CAPAN1 inVivo, VC, 3 CAPAN1 inVivo, VC,
- GSM7851568 CAPAN1 inVivo, TNF, 1 CAPAN1 inVivo, TNF,
- GSM7851569 CAPAN1 inVivo, TNF, 2 CAPAN1 inVivo, TNF,
- GSM7851570 CAPAN1 inVivo, TNF, 3 CAPAN1 inVivo, TNF,
- GSM8496575 CAPAN1, siCtrl, HDAC1, 1 CAPAN1, siCtrl, HDAC1,
- GSM8496576 CAPAN1, siCtrl, HDAC1, 2 CAPAN1, siCtrl, HDAC1,
- GSM8496577 CAPAN1, siJUNB, HDAC1, 1 CAPAN1, siJUNB, HDAC1,
- GSM8496578 CAPAN1, siJUNB, HDAC1, 2 CAPAN1, siJUNB, HDAC1,
- GSM8496579 CAPAN1, siJUNB, HDAC1, 3 CAPAN1, siJUNB, HDAC1,
- GSM8496580 CAPAN1, HDAC1, input
- GSM8496581 CAPAN1, siCtrl, H3K27ac, 1 CAPAN1, siCtrl, H3K27ac,
- GSM8496582 CAPAN1, siCtrl, H3K27ac, 2 CAPAN1, siCtrl, H3K27ac,
- GSM8496583 CAPAN1, siJUNB, H3K27ac, 1 CAPAN1, siJUNB, H3K27ac,
- GSM8496584 CAPAN1, siJUNB, H3K27ac, 2 CAPAN1, siJUNB, H3K27ac,
- GSM8496585 CAPAN1, H3K27ac, input
- GSE269942 YAP1 status defines two intrinsic subtypes of LCNEC with distinct molecular features and therapeutic vulnerabilities 12 samples shares ap1, subtype
- GSE307240 Epigenetic and transcriptional heterogeneity define osteosarcoma subtypes and establish targetable vulnerabilities [multiomics] 10 samples shares heterogeneity, subtype
- GSE289466 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [RNA-seq] 98 samples shares heterogeneity, subtype
- GSE302273 The evolution and heterogeneity of lethal metastatic bladder cancer subtypes 89 samples shares heterogeneity, subtype
- GSE289467 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [CUT&Tag] 50 samples shares heterogeneity, subtype
- GSE281743 Epigenetic Subtypes of High-Grade T1 Bladder Cancer Reveal Intra-Tumor Heterogeneity and Distinct Interactions with Tumor Microenvironment 41 samples shares heterogeneity, subtype
- GSE268014 Spatial transcriptomic analysis of tumor heterogeneity in HPV+ and HPV- Head and Neck Squamous Cell Carcinoma 39 samples shares heterogeneity, spatial
- GSE280639 Multichrome encoding-based multiplexed, spatially resolved imaging reveals single-cell RNA epigenetic modifications heterogeneity 21 samples shares heterogeneity, spatial
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.