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Induced regulatory B cells stably expressing IL-10 cure CNS autoimmunity by targeting microglia

GSE222227 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2026/01/01 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: 9 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.
Summary (written by the submitters)
B cells can control autoimmunity through interleukin(IL)-10 production. However, there is no protocol to efficiently generate IL-10-producing B cells, which limits the understanding of their differentiation and their development for cell therapy. To overcome this limitation, we performed a high throughput screen and identified a novel small molecule enabling the induction of quasi pure and stable IL-10-producing B cells.
Read the full summary ↓
These B cells prevented the development of experimental autoimmune encephalomyelitis and cured recipient mice from disease within a few days upon administration at the peak of clinical signs. Their therapeutic effect involved IL-10 provision to microglia and was independent of their cognate interaction with CD4+ T cells. This study reports the generation of induced regulatory B cells (iBregs) for cell therapy against immune-mediated inflammatory diseases.
This dataset
Open GSE222227 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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 GSE222227_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 PRJNA918635 and SRA study SRP415991. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in duplicate
CpG, 24h, ×3 CpG 48h with 24h DMSO, ×3 CpG 48h with 24h N6, ×3 CpG / N6, 72h, ×3 naive, ×2 CpG / DMSO, 72h, ×2 CpG/N6 72h plus 4 days L47/IL-4/BAFF, ×2 CpG/N6 72h plus 4 days L47/CpG/DMSO, ×2 +1 more

Supports a between-group comparison across 22 samples.

How we read this: 9 replicated groups read from 22 sample titles; they account for 22 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
Datasets on a similar topic

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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.