Fate mapping reveals a prenatal-to-neonatal wave of ILC2s with a history of Cd3g expression
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: 5 × Lung ILC2 ZSgreen_neg vs 3 × Lung ILC2 ZSgreen_pos vs 3 × Thymus DN3Groups 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
- Fate mapping reveals a prenatal-to-neonatal wave of ILC2s with a history of Cd3g expressionJournal of immunology (Baltimore, Md. : 1950) · 2026
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 GSE326669_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 PRJNA1446721 and SRA study SRP688461. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 3 replicated groups read from 11 sample titles; they account for 11 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.
- GSM9636942 Lung ILC2 ZSgreen_neg_1 Lung ILC2 ZSgreen_neg
- GSM9636943 Lung ILC2 ZSgreen_neg_2 Lung ILC2 ZSgreen_neg
- GSM9636944 Lung ILC2 ZSgreen_neg_3 Lung ILC2 ZSgreen_neg
- GSM9636945 Lung ILC2 ZSgreen_neg_4 Lung ILC2 ZSgreen_neg
- GSM9636946 Lung ILC2 ZSgreen_neg_5 Lung ILC2 ZSgreen_neg
- GSM9636947 Lung ILC2 ZSgreen_pos_1 Lung ILC2 ZSgreen_pos
- GSM9636948 Lung ILC2 ZSgreen_pos_2 Lung ILC2 ZSgreen_pos
- GSM9636949 Lung ILC2 ZSgreen_pos_3 Lung ILC2 ZSgreen_pos
- GSM9636950 Thymus DN3_1 Thymus DN3
- GSM9636951 Thymus DN3_2 Thymus DN3
- GSM9636952 Thymus DN3_3 Thymus DN3
- GSE326762 Fate mapping reveals a prenatal-to-neonatal wave of ILC2s with a history of Cd3g expression - RNA-Seq 35 samples shares ilc2s, cd3g, prenatal-to-neonatal, mapping, history, fate, wave
- GSE283560 Fate mapping of peripherally derived macrophages reveals a long-lasting engrafted population that maintains a distinct transcriptomic profile for up to 8 months after Traumatic Brain Injury III 65 samples shares mapping, fate
- GSE269720 Fate-mapping and functional dissection reveal perilous influence of type I interferon signaling in mouse brain aging 37 samples shares mapping, fate
- GSE283556 Fate mapping of peripherally derived macrophages reveals a long-lasting engrafted population that maintains a distinct transcriptomic profile for up to 8 months after Traumatic Brain Injury I 35 samples shares mapping, fate
- GSE283558 Fate mapping of peripherally derived macrophages reveals a long-lasting engrafted population that maintains a distinct transcriptomic profile for up to 8 months after Traumatic Brain Injury II 12 samples shares mapping, fate
- GSE299000 In situ fate mapping identifies the neonatal origin of platelet-biased hematopoietic stem cells [Native Developmental Atlas] 8 samples shares mapping, fate
- GSE310322 Mapping self-associating chromatin hubs identifies Id proteins as key determinants of exhausted T cell fate 37 samples shares mapping, fate
- GSE14254 Global Mapping of Histone H3 K4 and K27 Trimethylation: Lineage Fate Determination of Differentiating CD4+ T Cells 12 samples shares mapping, fate
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.