← BioTransfer GEO Dataset Finder
GEO series

Bulk transcriptomic profiling of eosinophils from skin and bone marrow during atopic dermatitis

GSE224703 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/12/25 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × BM_mouse vs 4 × H_mouse vs 4 × C_mouse vs 4 × L_mouseGroups 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
Guided monocyte fate to FRβ/CD163(+) S1 macrophage antagonises atopic dermatitis via fibroblastic matrices in mouse hypodermisCellular and molecular life sciences : CMLS · 2024
Summary (written by the submitters)
Atopic dermatitis was induced on dorsal skin of 7-10 week-old C57BL/6 female mice by bi- or tri-daily MC903 treatment. On day 8, viable mouse eosinophils (CD45+F4/80+SiglecF+) were sorted from skin regions of healthy or vehicle/treated atopic dermatitis or femur/tibia-derived bone marrow by FACS. Samples were paired within individual mice (4 mice each). RNA from 500 cells were isolated and profile for transcriptome by sequencing.
Published in
Guided monocyte fate to FRβ/CD163(+) S1 macrophage antagonises atopic dermatitis via fibroblastic matrices in mouse hypodermis
Li YT, Takaki E, Ouchi Y et al. · Cellular and molecular life sciences : CMLS 2024 · PMID 39720957 · doi:10.1007/s00018-024-05543-2
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 GSE224703_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 PRJNA932235 and SRA study SRP421318. Searching any of these in the dataset finder brings you back here.

Study design
4 × BM_mouse vs 4 × H_mouse vs 4 × C_mouse vs 4 × L_mouse

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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 →

Share this dataset

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.