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Maternal IL-10 restricts fetal emergency myelopoiesis [Bulk RNA-seq]

GSE240912 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2024/02/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 12 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
Maternal inflammation regulates fetal emergency myelopoiesisCell · 2024
Summary (written by the submitters)
We investigated how late fetal liver (FL) mouse hematopoieitic stem and progenitor cells (HSPC) respond to inflammation, with the hypothesis that deficits in engagement of emergency myelopoiesis (EM) pathways could limit neutrophil output and contribute to perinatal neutropenia, ultimately explaining the susceptibility of neonates to inflammation and infection.
Read the full summary ↓
We show that fetal HSPCs are biased toward erythroid and lymphoid cell production at steady state and fail to mount classical EM responses in vivo. Despite being capable of responding to EM-inducing stimuli in vitro, we find that maternal factors like interleukin-10 (IL-10) restrict fetal HSPCs from activating EM pathways in utero. Accordingly, we find that loss of maternal IL-10 restores EM activation in fetal HSPCs but at a cost of premature parturition. These results reveal the evolutionary trade-off inherent in maternal anti-inflammatory responses that maintain pregnancy but render the fetus susceptible to infection.
Published in
Maternal inflammation regulates fetal emergency myelopoiesis
Collins A, Swann JW, Proven MA et al. · Cell 2024 · PMID 38428422 · doi:10.1016/j.cell.2024.02.002
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 GSE240912_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 PRJNA1005684 and SRA study SRP455254. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in triplicate
2 wk HSC biol ×3 2 wk MPP2 biol ×3 2 wk MPP3 biol ×3 2 wk MPP4 biol ×3 Adult HSC biol ×3 Adult MPP2 biol ×3 Adult MPP3 biol ×3 Adult MPP4 biol ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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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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.