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SAMD1 suppresses epithelial-mesenchymal transition pathways in pancreatic ductal adenocarcinoma

GSE239418 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2024/06/27 Platform GPL21697
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
12 samples: 3 × RNA-Seq PaTu8988t Control vs 3 × RNA-Seq PaTu8988t SAMD1 KOGroups 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
SAMD1 suppresses epithelial-mesenchymal transition pathways in pancreatic ductal adenocarcinomaPLoS biology · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
SAMD1 suppresses epithelial-mesenchymal transition pathways in pancreatic ductal adenocarcinoma
Simon C, Brunke ID, Stielow B et al. · PLoS biology 2024 · PMID 39137238 · doi:10.1371/journal.pbio.3002739
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 GSE239418_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 PRJNA999235 and SRA study SRP451764. Searching any of these in the dataset finder brings you back here.

Study design
3 × RNA-Seq PaTu8988t Control vs 3 × RNA-Seq PaTu8988t SAMD1 KO

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 6 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.

Samples in this study
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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.