Fate mapping reveals a prenatal-to-neonatal wave of ILC2s with a history of Cd3g expression - RNA-Seq
RNA-seq (gene expression) · mouse · 35 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
- 35 samples: 12 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
- 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 GSE326762_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 PRJNA1446866 and SRA study SRP688639. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 35 samples.
How we read this: 12 replicated groups read from 35 sample titles; they account for 35 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.
- GSM9638514 Tr_2_KO_rep1 Tr_2_KO
- GSM9638515 Tr_5_KO_rep1 Tr_5_KO
- GSM9638516 Untr_5_KO_rep1 Untr_5_KO
- GSM9638517 Tr_5_KO_rep2 Tr_5_KO
- GSM9638518 Untr_2_C_rep1 Untr_2_C
- GSM9638519 Untr_2_KO_rep1 Untr_2_KO
- GSM9638520 Untr_5_C_rep1 Untr_5_C
- GSM9638521 Tr_2_C_rep1 Tr_2_C
- GSM9638522 Tr_5_C_rep1 Tr_5_C
- GSM9638523 Untr_5_C_rep2 Untr_5_C
- GSM9638524 Untr_2_C_rep2 Untr_2_C
- GSM9638525 Untr_2_C_rep3 Untr_2_C
- GSM9638526 Untr_5_KO_rep2 Untr_5_KO
- GSM9638527 Tr_7_KO_rep1 Tr_7_KO
- GSM9638528 Tr_2_KO_rep2 Tr_2_KO
- GSM9638529 Tr_5_C_rep2 Tr_5_C
- GSM9638530 Untr_5_KO_rep3 Untr_5_KO
- GSM9638531 Untr_2_KO_rep2 Untr_2_KO
- GSM9638532 Untr_7_KO_rep1 Untr_7_KO
- GSM9638533 Tr_2_C_rep2 Tr_2_C
- GSM9638534 Tr_5_C_rep3 Tr_5_C
- GSM9638535 Untr_5_C_rep3 Untr_5_C
- GSM9638536 Untr_2_KO_rep3 Untr_2_KO
- GSM9638537 Untr_7_KO_rep2 Untr_7_KO
- GSM9638538 Tr_2_C_rep3 Tr_2_C
- GSM9638539 Tr_5_KO_rep3 Tr_5_KO
- GSM9638540 Tr_7_C_rep1 Tr_7_C
- GSM9638541 Tr_2_KO_rep3 Tr_2_KO
- GSM9638542 Tr_7_C_rep2 Tr_7_C
- GSM9638543 Untr_7_C_rep1 Untr_7_C
- GSM9638544 Untr_7_KO_rep3 Untr_7_KO
- GSM9638545 Tr_7_C_rep3 Tr_7_C
- GSM9638546 Untr_7_C_rep2 Untr_7_C
- GSM9638547 Untr_7_C_rep3 Untr_7_C
- GSM9638548 Tr_7_KO_rep2 Tr_7_KO
- GSE326669 Fate mapping reveals a prenatal-to-neonatal wave of ILC2s with a history of Cd3g expression 11 samples shares ilc2s, cd3g, prenatal-to-neonatal, mapping, history, fate, wave
- GSE272723 PAC1 constrains type II inflammation through promotion of CGRP signaling in ILC2s [RNA-seq] 16 samples shares ilc2s, rna-seq
- GSE301976 IL-25-induced effector-memory ILC2s mediate small intestinal adaptation [scRNA-Seq 2] 12 samples shares ilc2s, rna-seq
- 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, rna-seq
- GSE268826 ILC2s navigate tissue redistribution during infection using stage-specific S1P receptors [RNA-seq] 8 samples shares ilc2s, rna-seq
- GSE272716 mTORC1 controls ILC2 activation and allergic lung inflammation through NMUR1-mediated neuronal regulation [WT-KO ILC2s RNA-seq] 6 samples shares ilc2s, rna-seq
- GSE279670 Regulation of ILC2s by Brg1 (RNA-seq on WT and KO ILC2eff) 4 samples shares ilc2s, rna-seq
- GSE301999 IL-25-induced effector-memory ILC2s mediate small intestinal adaptation [scRNA-seq] 4 samples shares ilc2s, rna-seq
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.