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BHLHE40 Orchestrates TL1A-Driven ILC3 Effector Programs and RORγt⁺ APC-Mediated Tolerance [ATAC-Seq]

GSE325341 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2026/07/06 Platform GPL30172
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 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
Mus musculus (mouse)
Samples
12 samples: 3 × Bhlhe40 Het_un vs 3 × Bhlhe40 KO_un vs 3 × Bhlhe40 Het_TL1A vs 3 × Bhlhe40 KO_TL1AGroups 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.
Summary (written by the submitters)
A central feature of the intestinal immune system is the ability to protect against pathogens while maintaining antigen-specific tolerance to the gut bacteria that coat its surface. Here, we identified Bhlhe40 as a central regulator of both ILC3- and ROR t⁺ APC-dependent mucosal immunity. TL1A stimulation and inflammatory bowel disease both enhance Bhlhe40 expression in intestinal ILC3s.
Read the full summary ↓
Basal Bhlhe40 expression in ILC3s is essential for efficient transcription of cytokine effectors and maintenance of mucosal immunity, whereas TL1A-induced upregulation of Bhlhe40 further amplifies these effects. Bhlhe40 is also highly expressed in ROR t⁺ APCs, where it is required for optimal generation of antigen-specific Tregs. Together with the colonic microbiota, Bhlhe40 regulates expression of the co-stimulatory molecule Tnfsf4 (OX40L), which is necessary for the induction of Helicobacter hepaticus-specific Tregs. These findings reveal a previously unrecognized role for Bhlhe40 in orchestrating intestinal ILC3 responses and promoting Bhlhe40-dependent co-stimulatory signals in ROR t⁺ APCs that coordinate antigen-specific tolerance.
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 GSE325341_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 PRJNA1439744 and SRA study SRP685038. Searching any of these in the dataset finder brings you back here.

Study design
3 × Bhlhe40 Het_un vs 3 × Bhlhe40 KO_un vs 3 × Bhlhe40 Het_TL1A vs 3 × Bhlhe40 KO_TL1A

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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