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Z-DNA underlies the target choice of Aire by facilitating promoter poising [RNA-seq]

GSE224556 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2024/03/11 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 30 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
30 samples: 13 conditions, mostly in duplicateGroups 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
AIRE relies on Z-DNA to flag gene targets for thymic T cell tolerizationNature · 2024
Summary (written by the submitters)
We profiled transcriptome of medullary thymic epithelial cells from mice of various treatments and genotypes to investigate the logic of Aire's target choices
Published in
AIRE relies on Z-DNA to flag gene targets for thymic T cell tolerization
Fang Y, Bansal K, Mostafavi S et al. · Nature 2024 · PMID 38480882 · doi:10.1038/s41586-024-07169-7
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 GSE224556_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA934445 and SRA study SRP424170. Searching any of these in the dataset finder brings you back here.

Study design
13 conditions, mostly in duplicate
B6_NOD_F1_WT_mTEC_GFP_RNA ×3 B6_WT_mTEC_GFP_RNA ×3 NOD_WT_mTEC_GFP_RNA ×3 NOD_Aire_KO_mTEC_GFP_RNA ×3 B6_Aire_KO_mTEC_GFP_RNA ×2 B6_PBS_WT_mTEC_RNA ×2 B6_Spermidine_WT_mTEC_RNA ×2 B6_PBS_Aire_KO_mTEC_RNA ×2 +5 more

Supports a between-group comparison across 30 samples.

How we read this: 13 replicated groups read from 30 sample titles; they account for 30 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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