GEO series

TGF-β Tumor Suppression Through A Lethal EMT

GSE72069 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2016/02/24 Platform GPL17021

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 22 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)
Samples: 22 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)

TGF-β is a major tumor suppressor in gastrointestinal (GI) and squamous carcinomas, which exhibit frequent genetic inactivation of Smad4, a key TGF-β signaling component. Apoptosis is implicated as an important mediator of the tumor suppressive function of TGF-β, although this process remains poorly understood. To address this long-standing question, we dissected the tumor suppressive action of TGF-β in naïve pancreatic ductal adenocarcinoma (PDA) cells.

Read the full summary ↓

Here we show that TGF-β/Smad4 signaling triggers an EMT in Kras-mutant pancreatic progenitor cells but turns this process into a trigger of apoptosis by converting the progenitor cell transcription factor Sox4 from an enforcer of epithelial progenitor identity into an activator of apoptosis. This occurs as a result of the EMT-linked repression of the endodermal master regulator Klf5, which cooperates with Sox4 to promote epithelial progenitor identity, and loss of which unmasks a latent apoptotic transcriptional program driven by Sox4. By losing Smad4, Kras-mutant PDA cells avoid this fate and instead use Sox4 as a TGF-β-dependent enforcer of the epithelial progenitor cell state.

This dataset

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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.

Series matrix ↓

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 GSE72069_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA292864 and SRA study SRP062410. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26898331) ↗

Samples in this study

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

+ 22 more — browse all 22 samples with per-sample file links →

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