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Intravenous immunoglobulin (IVIg) ameliorates disease in a murine model of anti-laminin 332 mucous membrane pemphigoid

GSE263026 Mus musculus (mouse) RNA-seq (gene expression) 46 samples Submitted 2024/04/10 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 46 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
46 samples: 37 distinct titles, 5 of them repeatedGroups 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
Intravenous Ig Ameliorates Disease in a Murine Model of Anti-Laminin 332 Mucous Membrane PemphigoidThe Journal of investigative dermatology · 2024
Summary (written by the submitters)
Intravenous immunoglobulin (IVIg) is used to treat mucous membrane pemphigoid (MMP), although its therapeutic effectivity is not sufficiently supported by randomized controlled clinical trials and its mode of action is only insufficiently understood. We have examined the effect of IVIg in a mouse model of anti-laminin 332 MMP and found that IVIg ameliorates both cutaneous and mucosal inflammatory lesions.
Read the full summary ↓
Our investigation into the modes of action of IVIg in MMP indicated effective antiinflammatory mechanisms beyond the enhanced degradation of IgG mediated through inhibition of the neonatal Fc receptor. Our results suggest that IVIg curbs the activation of neutrophils at several levels. This includes a direct, immediate inhibitory effect on neutrophil activation by immune complexes but not C5a which blunts the release of reactive oxygen species and leukotriene B4 from neutrophils. IVIg also suppresses the formation of neutrophil extracellular traps in response to Ca2+ ionophore. In vivo treatment with IVIg altered the transcriptome of blood leukocytes and bone marrow neutrophils towards less proinflammatory phenotypes. Collectively, our results support the effectivity of IVIg in the treatment of MMP and indicate that effects on neutrophils at multiple levels may significantly contribute to its therapeutic effects.
Published in
Intravenous Ig Ameliorates Disease in a Murine Model of Anti-Laminin 332 Mucous Membrane Pemphigoid
Murthy S, Patzelt S, Künstner A et al. · The Journal of investigative dermatology 2024 · PMID 38692406 · doi:10.1016/j.jid.2024.02.038
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 GSE263026_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 PRJNA1095470 and SRA study SRP499345. Searching any of these in the dataset finder brings you back here.

Study design
37 distinct titles, 5 of them repeated
S3_blood ×4 S3_neutrophils ×3 S5_Skin ×3 S5_Monocytes ×2 S3_Monocytes ×2

How we read this: Read from 46 sample titles: 37 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.