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Study of the impact of Anti-IL5 neutralizing antibodies on bone marrow eosinophil maturation stages during IL-33 induced eosinophilia.

GSE248712 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2024/05/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 22 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
22 samples: 8 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
Single-cell proteomics and transcriptomics capture eosinophil development and identify the role of IL-5 in their lineage transit amplificationImmunity · 2024
Summary (written by the submitters)
RNA-seq of the 4 eosinophil maturation stages in the murine bone marrow during Interleukin-33 induced eosinophilia combined with Anti-IL5 or Control isotype injections.
Published in
Single-cell proteomics and transcriptomics capture eosinophil development and identify the role of IL-5 in their lineage transit amplification
Jorssen J, Van Hulst G, Mollers K et al. · Immunity 2024 · PMID 38776917 · doi:10.1016/j.immuni.2024.04.027
This dataset
Open GSE248712 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 GSE248712_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 PRJNA1045640 and SRA study SRP474447. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38776917) ↗
Study design
8 conditions, mostly in triplicate
Stage_I_IL33_Ctrl_isotype ×3 Stage_III_IL33_Ctrl_isotype ×3 Stage_IV_IL33_Ctrl_isotype ×3 Stage_I_IL33_Anti-IL5_Eosinophilia ×3 Stage_III_IL33_Anti-IL5_Eosinophilia ×3 Stage_IV_IL33_Anti-IL5_Eosinophilia ×3 Stage_II_IL33_Ctrl_isotype ×2 Stage_II_IL33_Anti-IL5_Eosinophilia ×2

Supports a between-group comparison across 22 samples.

How we read this: 8 replicated groups read from 22 sample titles; they account for 22 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

Search all mouse RNA-seq datasets in GEO →

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