TLR7-dependent eosinophil degranulation links psoriatic skin inflammation to small-intestinal inflammatory changes
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 11 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
- TLR7-dependent eosinophil degranulation links psoriatic skin inflammation to small intestinal inflammatory changes in miceExperimental & molecular medicine · 2024
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE237610_RAW.tar (it can run to tens of gigabytes).
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 PRJNA988261 and SRA study SRP446241. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 11 sample titles: 11 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.
- GSM7634786 Skin Con [Skin1]
- GSM7634787 Skin Con [Skin2]
- GSM7634788 Skin Con [Skin3]
- GSM7634789 Skin IMQ [Skin4]
- GSM7634790 Skin IMQ [Skin5]
- GSM7634791 Skin IMQ [Skin6]
- GSM7634792 Small intestine Con [SI7]
- GSM7634793 Small intestine Con [SI8]
- GSM7634794 Small intestine Con [SI9]
- GSM7634795 Small intestine IMQ [SI10]
- GSM7634796 Small intestine IMQ [SI11]
- GSE286908 Bacterial skin infection imprints bone marrow eosinophils to promote allergic skin-lung crosstalk [Quant_seq] 24 samples shares eosinophil, skin
- GSE224703 Bulk transcriptomic profiling of eosinophils from skin and bone marrow during atopic dermatitis 16 samples shares eosinophil, skin
- GSE302016 A sympathetic-eosinophil neuroimmune axis orchestrates psychological stress to exacerbate skin inflammation 3 samples shares eosinophil, skin
- GSE281802 The metabolic signature of inflammatory skin-imprinted eosinophils accounts for the chronicity of Leishmania mexicana infections [Day50] 1 samples shares eosinophil, skin
- GSE281715 The metabolic signature of inflammatory skin-imprinted eosinophils accounts for the chronicity of Leishmania mexicana infections [Day14] 1 samples shares eosinophil, skin
- GSE287520 Bacterial skin infection primes bone marrow eosinophils to promote allergic skin-lung crosstalk 8 samples shares eosinophil, skin
- GSE287038 Bacterial skin infection imprints bone marrow eosinophils to promote allergic skin-lung crosstalk 4 samples shares eosinophil, skin
- GSE334547 ACKR2 aids the regulation of bone marrow eosinophils to promote monocyte differentiation and anti-bacterial immunity 26 samples shares eosinophil
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.