A hPSC-Derived Progressive Pancreatic Ductal Adenocarcinoma Model Reveals Dual Pathways in ERK-Driven Cellular Plasticity
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 93 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)
- Topic
- Pancreatic cancerThis series is part of our curated briefing on it.
- Samples
- 93 samples: 33 conditions, mostly in duplicateGroups 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
- Human pancreatic progenitor organoids define genetic and epigenetic barriers to early PDAC transformationDevelopmental cell · 2026
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 GSE273073_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 PRJNA1139935 and SRA study SRP520532. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 90 samples.
How we read this: 33 replicated groups read from 93 sample titles; they account for 90 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.
- GSM8403056 ATAC_GFP_1 ATAC_GFP
- GSM8403057 ATAC_GFP_2 ATAC_GFP
- GSM8403058 ATAC_K_1 ATAC_K
- GSM8403059 ATAC_K_2 ATAC_K
- GSM8403060 ATAC_KC_1 ATAC_KC
- GSM8403061 ATAC_KC_2 ATAC_KC
- GSM8403062 ATAC_KP_1 ATAC_KP
- GSM8403063 ATAC_KP_2 ATAC_KP
- GSM8403064 ATAC_KCP_1 ATAC_KCP
- GSM8403065 ATAC_KCP_2 ATAC_KCP
- GSM8403066 ATAC_KCPS_1 ATAC_KCPS
- GSM8403067 ATAC_KCPS_2 ATAC_KCPS
- GSM8403068 ATAC_KCP_DMSO_1 ATAC_KCP_DMSO
- GSM8403069 ATAC_KCP_DMSO_2 ATAC_KCP_DMSO
- GSM8403070 ATAC_KCP_LY_1 ATAC_KCP_LY
- GSM8403071 ATAC_KCP_LY_2 ATAC_KCP_LY
- GSM8403072 GFP_RNA-seq_1 GFP_RNA-seq
- GSM8403073 GFP_RNA-seq_2 GFP_RNA-seq
- GSM8403074 GFP_RNA-seq_3 GFP_RNA-seq
- GSM8403075 K_RNA-seq_1 K_RNA-seq
- GSM8403076 K_RNA-seq_2 K_RNA-seq
- GSM8403077 K_RNA-seq_3 K_RNA-seq
- GSM8403078 KC_RNA-seq_1 KC_RNA-seq
- GSM8403079 KC_RNA-seq_2 KC_RNA-seq
- GSM8403080 KC_RNA-seq_3 KC_RNA-seq
- GSM8403081 KP_RNA-seq_1 KP_RNA-seq
- GSM8403082 KP_RNA-seq_2 KP_RNA-seq
- GSM8403083 KP_RNA-seq_3 KP_RNA-seq
- GSM8403084 KCP_RNA-seq_1 KCP_RNA-seq
- GSM8403085 KCP_RNA-seq_2 KCP_RNA-seq
- GSM8403086 KCP_RNA-seq_3 KCP_RNA-seq
- GSM8403087 KCPS_RNA-seq_1 KCPS_RNA-seq
- GSM8403088 KCPS_RNA-seq_2 KCPS_RNA-seq
- GSM8403089 KCPS_RNA-seq_3 KCPS_RNA-seq
- GSM8403090 KCP_DMSO_RNA-seq_1 KCP_DMSO_RNA-seq
- GSM8403091 KCP_DMSO_RNA-seq_2 KCP_DMSO_RNA-seq
- GSM8403092 KCP_LY_RNA-seq_1 KCP_LY_RNA-seq
- GSM8403093 KCP_LY_RNA-seq_2 KCP_LY_RNA-seq
- GSM8403094 KCP_NT_RNA-seq_1 KCP_NT_RNA-seq
- GSM8403095 KCP_NT_RNA-seq_2 KCP_NT_RNA-seq
+ 53 more — browse all 93 samples with per-sample file links →
- GSE71729 Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes. 357 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE102238 Gene expression signatures associated with Perineural Invasion in pancreatic ductal adenocarcinoma 100 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE118694 Application of the High-throughput TAB-Array for the Discovery of Novel 5-Hydroxymethylcytosine Biomarkers in Pancreatic Ductal Adenocarcinoma 34 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE125179 microRNA modulated networks of adaptive and innate immune response in pancreatic ductal adenocarcinoma 28 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE111672 Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas 23 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE150043 Deeper insight into Pancreatic Ductal Adenocarcinoma (PDAC) survival heterogeneity using integrative analyses of individual and global transcriptome based networks 19 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE114778 Plasma miRNA expression profiling of pancreatic ductal adenocarcinoma patient, chronic pancreatitis patients and healthy population in China 15 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
- GSE132956 Gene Expression Data of Pancreatic Ductal Adenocarcinoma and Normal Tissue 15 samples same disease briefing · shares adenocarcinoma, pancreatic, ductal
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.