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Impact of autoimmune inflammation on HSPC and monocyte gene expression

GSE215003 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2024/10/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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
A distinct metabolic and epigenetic state drives trained immunity in HSC-derived macrophages from autoimmune miceCell stem cell · 2024
Summary (written by the submitters)
Trained immunity occurs when inflammatory stimulation reprograms myeloid cells to have increased effector functions upon secondary stimulation. Interestingly, the secondary stimulation can occur well beyond the lifetime of an individual myeloid cell, thus memory of immune training must reside in the hematopoietic system. After showing that long-term hematopoietic stem cells (HSCLT) from mice treated with pristane for eight weeks generate trained macrophages, we sought to uncover mechanisms underlying the heritable trained immunity program in myeloid cells.
Read the full summary ↓
To do this we transplanted HSCLT from pristane mice into congenic recipients, and after 18 weeks of engraftment sorted out donor derived granulocyte monocyte progenitors (GMP). We then analyzed the chromatin landscape and transcriptome using low input chromatin accessibility and transcriptomics sequencing (LiCAT-seq) which allows for the co-generation of RNA-seq and ATAC-seq libraries from the same cellular pool. With this approach we found a unique epigenetic phenotype of reduced chromatin accessibility at metabolic genes in GMP from pristane HSCLT, which resulted in reduced transcription of metabolic genes, leading to reduced metabolism in mature macrophages.
Published in
A distinct metabolic and epigenetic state drives trained immunity in HSC-derived macrophages from autoimmune mice
Mills TS, Kain B, Burchill MA et al. · Cell stem cell 2024 · PMID 39413777 · doi:10.1016/j.stem.2024.09.010
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 GSE215003_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 PRJNA888067 and SRA study SRP401500. Searching any of these in the dataset finder brings you back here.

Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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.