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ROCK1 orchestrates B cell differentiation in response to PAMPs and heme by controlling the heme-regulated proteins Bach2 and HRI

GSE237201 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2025/04/02 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 48 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
48 samples: 16 conditions, mostly in triplicateGroups 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
ROCK1 promotes B cell differentiation and proteostasis under stress through the heme-regulated proteins, BACH2 and HRIJCI insight · 2025
Summary (written by the submitters)
Protective humoral responses require that B cells successfully complete their differentiation programs even when exposed to hostile environments generated during severe infections, like the massive hemolysis triggered by malaria. The mechanisms utilized by differentiating B cells to withstand damaging conditions replete in PAMPs and DAMPs are poorly understood.
Read the full summary ↓
Here we demonstrate that the serine-threonine kinase ROCK1 enables B cells to execute their differentiation programs upon exposure to PAMPs and high levels of heme, a critical DAMP, by controlling two key heme-regulated molecules, Bach2 and HRI. ROCK1 restrains plasma cell differentiation by phosphorylating Bach2. As B cells differentiate in the presence of PAMPs and heme, furthermore, ROCK1 limits the proinflammatory potential of B cells and restrains mTORC1 activity by controlling the assembly of multimolecular complexes that contain the adaptor p62, raptor, ripoptosome components, and molecules involved in RNA metabolism and proteostasis. ROCK1 regulates formation of these complexes by controlling the interplay between HSPs and the stress kinase HRI. Thus, ROCK1 helps B cells cope with intense pathogen-driven destruction by coordinating the activity and localization of key molecules that mediate cell-fate decisions, effector functions, and RNA and protein homeostasis. These ROCK1-dependent mechanisms may be widely employed by cells to handle severe environmental stresses and these findings may be broadly relevant for infections, vaccine development, and immune-mediated diseases marked by chronic tissue damage like autoimmune disorders.
Published in
ROCK1 promotes B cell differentiation and proteostasis under stress through the heme-regulated proteins, BACH2 and HRI
Rivera-Correa J, Gupta S, Ricker E et al. · JCI insight 2025 · PMID 39903532 · doi:10.1172/jci.insight.180507
This dataset
Open GSE237201 in finder → Find more mouse RNA-seq 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 GSE237201_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: 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 PRJNA994159 and SRA study SRP448897. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39903532) ↗
Study design
16 conditions, mostly in triplicate
ROCK1_WT ×3 ROCK1_KO ×3 Activated_Bs_ABs_ROCK1_WT ×3 Activated_Bs_ABs_ROCK1_KO ×3 Naive_Bs_ROCK1_WT ×3 Naive_Bs_ROCK1_KO ×3 PB_PCs_ROCK1_WT ×3 PB_PCs_ROCK1_KO ×3 +8 more

Supports a between-group comparison across 48 samples.

How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

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