BM-resident BL/6 and ST2-/- ILC2s cultured with or without rmIL-33
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 4 × BL/6 ILC2s with IL-33 vs 3 × BL/6 ILC2s w/o IL-33 vs 3 × ST2-/- ILC2s w/o IL-33Groups 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.
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 GSE250530_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 PRJNA1054482 and SRA study SRP479060. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 3 replicated groups read from 10 sample titles; they account for 10 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.
- GSM7980939 BL/6 ILC2s w/o IL-33 1 BL/6 ILC2s w/o IL-33
- GSM7980940 BL/6 ILC2s w/o IL-33 2 BL/6 ILC2s w/o IL-33
- GSM7980941 BL/6 ILC2s w/o IL-33 3 BL/6 ILC2s w/o IL-33
- GSM7980942 BL/6 ILC2s with IL-33 1 BL/6 ILC2s with IL-33
- GSM7980943 BL/6 ILC2s with IL-33 2 BL/6 ILC2s with IL-33
- GSM7980944 BL/6 ILC2s with IL-33 3 BL/6 ILC2s with IL-33
- GSM7980945 BL/6 ILC2s with IL-33 4 BL/6 ILC2s with IL-33
- GSM7980946 ST2-/- ILC2s w/o IL-33 1 ST2-/- ILC2s w/o IL-33
- GSM7980947 ST2-/- ILC2s w/o IL-33 2 ST2-/- ILC2s w/o IL-33
- GSM7980948 ST2-/- ILC2s w/o IL-33 3 ST2-/- ILC2s w/o IL-33
- GSE73272 RNA-Seq analysis of mouse group 2 innate lymphoid cells (ILC2s) cultured with IL-33, IFN-g, and IL-27 9 samples shares ilc2s, cultured
- GSE326762 Fate mapping reveals a prenatal-to-neonatal wave of ILC2s with a history of Cd3g expression - RNA-Seq 35 samples shares ilc2s
- GSE283234 Irisin improves obesity and glucose intolerance through an IL-33-ST2 pathway 24 samples shares st2
- GSE298700 ST2 signaling orchestrates mast cell transcriptional activation during viral infection 24 samples shares st2
- GSE302993 Extragenous ILC2s infiltration into the brain after ischemic stroke 23 samples shares ilc2s
- GSE261940 Soluble ST2 induces cardiac contractile dysfunction by repressing mitochondrial electron transport chain genes in cardiomyocytes during fulminant myocarditis 20 samples shares st2
- GSE272723 PAC1 constrains type II inflammation through promotion of CGRP signaling in ILC2s [RNA-seq] 16 samples shares ilc2s
- GSE213745 Disruption of the intellectual disability-linked gene Hs6st2 in mice decreases heparan sulfate 6-O-sulfation in the brain and impairs memory 15 samples shares st2
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.