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Impaired IL-10 Receptor Signaling Leads to Inflammation Induced Exhaustion in Hematopoietic Stem Cells

GSE308698 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2025/09/30 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 17 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
17 samples: 5 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.
Summary (written by the submitters)
Chronic-inflammation compromises normal hematopoiesis, and interleukin-10 (IL-10) signaling is essential for restraining inflammatory responses. When inflammation persists, hematopoietic stem cells (HSCs) undergo proliferative exhaustion with loss of fitness and regenerative capacity. We previously showed that in JAK2V617F myeloproliferative neoplasm (MPN) primary monocytes exhibit impaired IL-10 signaling.
Read the full summary ↓
Because clonal hematopoiesis is a hallmark of exhaustion, we hypothesize that impaired IL-10 signaling confers a selective advantage to clonal hematopoiesis by promoting inflammation-induced exhaustion in nonmalignant cells. We used an IL-10R blocking antibody in murine models with repeated exposure to lipopolysaccharide (LPS), an inflammatory stimulus, this showed IL-10R blockade exacerbated exhaustion phenotypes, increasing proliferation, myeloid skewing, and reduced HSC fitness relative to controls. In JAK2V617F murine models, JAK2V617F-expressing cells were not impaired by inflammatory exposure in the presence of IL-10R blockade, which in turn aggravated MPN-like phenotypes and clonal expansion. Taken together, these findings indicate that defective IL-10 receptor signaling prolongs inflammatory responses, accelerates exhaustion phenotypes, and reduces the competitiveness of normal hematopoietic clones in the context of hematologic malignancy.
This dataset
Open GSE308698 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 GSE308698_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 PRJNA1332554 and SRA study SRP624293. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly in triplicate
C57BL/6J mice PBS control Day 0 ×5 C57BL/6J mice injected with LPS 24h ×3 C57BL/6J mice injected with LPS and anti IL10… ×3 C57BL/6J mice injected with LPS 72h ×3 C57BL/6J mice injected with LPS and anti IL10… ×3

Supports a between-group comparison across 17 samples.

How we read this: 5 replicated groups read from 17 sample titles; they account for 17 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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