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ATAC-seq of Keratinocytes and Langerhans cells in normal and hyperproliferative epithelium

GSE268544 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2024/10/30 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
16 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.
Paper
Squamous cell carcinoma is associated with reduced IL34 expression, alterations in the Langerhans cell antigen-processing-presentation machinery and poor patient survivalClinical & translational immunology · 2024
Summary (written by the submitters)
In an HPV-induced hyperplastic epithelium mouse model, hyperproliferative Keratinocytes (KCs) showed reduced Interleukin 34 (IL34) expression and chromatin accessibility, associating disturbing cell-cell interaction and immune response genes. Correspondingly, Langerhans cells (LCs) exhibited altered chromatin accessibility, including increased accessibility of IL34's receptor - the colony-stimulating factor 1 receptor (Csf1r) and reduced accessibility in antigen uptake and presentation genes.
Published in
Squamous cell carcinoma is associated with reduced IL34 expression, alterations in the Langerhans cell antigen-processing-presentation machinery and poor patient survival
Dang TVT, Gillinder KR, Nguyen Q et al. · Clinical & translational immunology 2024 · PMID 39619016 · doi:10.1002/cti2.70018
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 GSE268544_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 PRJNA1117769 and SRA study SRP510434. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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