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Extramedullary hematopoiesis and immune training drive systemic inflammation and associated organ damage in Systemic Lupus Erythematosus (RNA-seq)

GSE218778 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/03/20 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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
Enhanced medullary and extramedullary granulopoiesis sustain the inflammatory response in lupus nephritisLupus science & medicine · 2024
Summary (written by the submitters)
Extramedullary hematopoiesis (EMH) is an emerging player in peripheral tissue injury in autoimmune disorders. Here, we use the NZBW/F1 lupus mouse model to explore the contribution of EMH to disease pathogenesis of SLE. We demonstrate that EMH takes place in the spleen of F1-L mice and show it is correlated with the activity of lupus nephritis (LN).
Read the full summary ↓
Transcriptomic analysis demonstrated that splenic hematopoietic stem and progenitor cells (HSPC) carry a higher inflammatory potential than their bone marrow counterparts. Administration of β-glucan, an inducer of innate immunity, exacerbated splenic EMH, increased neutrophil production and worsened LN. Transcriptomic signatures of HSPCs in SLE patients with high disease activity show changes similar to the ones observed in the lupus-prone mouse model. Overall, EMH and trained immunity are ubiquitous in SLE, contributing to disease pathogenesis by sustaining and amplifying the inflammatory response and increasing the risk for flare of the disease.
Published in
Enhanced medullary and extramedullary granulopoiesis sustain the inflammatory response in lupus nephritis
Zervopoulou E, Grigoriou M, Doumas SA et al. · Lupus science & medicine 2024 · PMID 38471723 · doi:10.1136/lupus-2023-001110
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 GSE218778_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 PRJNA905437 and SRA study SRP409818. Searching any of these in the dataset finder brings you back here.

Samples in this study

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