← BioTransfer GEO Dataset Finder
GEO series

Enhancer reprogramming promotes pancreatic cancer progression and metastasis [ChIP-seq]

GSE99284 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 90 samples Submitted 2017/07/31 Platform GPL18573Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 90 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
90 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.
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma (PDA) is one of the most lethal human malignancies, owing in part to its propensity for metastasis. Here, we used an organoid culture system to investigate how transcription and the enhancer landscape become altered during each stage of PDA progression. This approach revealed that the metastatic transition is accompanied by massive, and recurrent alterations in enhancer activity.
Read the full summary ↓
We implicate the transcription factors FOXA1 and GATA5 as drivers of enhancer activation in this system, a mechanism that we show renders PDA cells more invasive and less anchorage-dependent for growth in vitro, as well as more metastatic in vivo. FOXA1 and GATA5 were found to activate a foregut endoderm transcriptional program in PDA cells, without altering genes associated with the epithelial-to- mesenchymal transition. Collectively, our study implicates FOXA1/GATA5 upregulation, enhancer reprogramming, and a novel retrograde developmental transition in PDA progression and metastasis.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE99284_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA387949 and SRA study SRP107986. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 90 more — browse all 90 samples with per-sample file links →

Datasets on a similar topic

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.