Enhancer reprogramming promotes pancreatic cancer progression and metastasis
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 136 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
- Mus musculus (mouse)
- Topic
- Pancreatic cancerThis series is part of our curated briefing on it.
- Samples
- 136 samples: 136 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.
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 GSE99311_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 PRJNA388090 and SRA study SRP107980. 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 136 sample titles: 136 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.
- GSM2640269 N5 ATAC-Seq
- GSM2640270 N6 ATAC-Seq
- GSM2640271 P2 ATAC-Seq
- GSM2640272 P3 ATAC-Seq
- GSM2640273 T3 ATAC-Seq
- GSM2640274 T6 ATAC-Seq
- GSM2640275 T23 ATAC-Seq
- GSM2640276 M1L ATAC-Seq
- GSM2640277 M3P ATAC-Seq
- GSM2640278 M10P ATAC-Seq
- GSM2640354 N5 H3K27ac ChIP-Seq
- GSM2640355 N6 H3K27ac ChIP-Seq
- GSM2640356 P2 H3K27ac ChIP-Seq
- GSM2640357 P3 H3K27ac ChIP-Seq
- GSM2640358 T3 H3K27ac ChIP-Seq
- GSM2640359 T6 H3K27ac ChIP-Seq
- GSM2640360 T19 H3K27ac ChIP-Seq
- GSM2640361 T23 H3K27ac ChIP-Seq
- GSM2640362 T33 H3K27ac ChIP-Seq
- GSM2640363 T34 H3K27ac ChIP-Seq
- GSM2640364 M1L H3K27ac ChIP-Seq
- GSM2640365 M3L H3K27ac ChIP-Seq
- GSM2640366 M3P H3K27ac ChIP-Seq
- GSM2640367 M6P H3K27ac ChIP-Seq
- GSM2640368 M10P H3K27ac ChIP-Seq
- GSM2640369 M15D H3K27ac ChIP-Seq
- GSM2640370 T3 H3K4me1 ChIP-Seq
- GSM2640371 T6 H3K4me1 ChIP-Seq
- GSM2640372 T23 H3K4me1 ChIP-Seq
- GSM2640373 M1L H3K4me1 ChIP-Seq
- GSM2640374 M3P H3K4me1 ChIP-Seq
- GSM2640375 M10P H3K4me1 ChIP-Seq
- GSM2640376 T3 FOXA1 ChIP-Seq
- GSM2640377 T6 FOXA1 ChIP-Seq
- GSM2640378 T23 FOXA1 ChIP-Seq
- GSM2640379 M1L FOXA1 ChIP-Seq
- GSM2640380 M3P FOXA1 ChIP-Seq
- GSM2640381 M10P FOXA1 ChIP-Seq
- GSM2640382 N5 Ipt ChIP-Seq
- GSM2640383 N6 Ipt ChIP-Seq
+ 96 more — browse all 136 samples with per-sample file links →
- GSE134236 Mutant Kras co-opts a progenitor-derived enhancer network to initiate pancreatic tumorigenesis 166 samples same disease briefing · shares pancreatic, enhancer
- GSE107818 A serum-induced transcriptome and serum cytokine signature obtained at diagnosis correlates with the development of early pancreatic ductal adenocarcinoma metastasis 11 samples same disease briefing · shares pancreatic, metastasis
- GSE113616 Stromal Fibroblasts Drive Single Cell Heterogeneity in Pancreatic Cancer 189 samples same disease briefing · shares pancreatic
- GSE149103 Integrative Hi-C maps of pancreatic cancer 66 samples same disease briefing · shares pancreatic
- GSE148188 NOXA dependent induction of apoptosis in pancreatic cancer cells 49 samples same disease briefing · shares pancreatic
- GSE119794 Network-based integration of mRNA and miRNA profiles reveals new target genes involved in pancreatic cancer 40 samples same disease briefing · shares pancreatic
- GSE120127 Role of BAP1 in pancreatic cancer 38 samples same disease briefing · shares pancreatic
- GSE14245 Multiple Salivary Biomarkers for Early Detection of Pancreatic Cancer 24 samples same disease briefing · shares pancreatic
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.