Transcriptional analysis of Wt and CXCR5-KO cDC subsets
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 12 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
- CXCR5 Signals Fine-Tune Dendritic Cell Transcription and Regulate T(H)2 DevelopmentVaccines · 2025
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 GSE301250_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 PRJNA1284336 and SRA study SRP596296. 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 12 sample titles: 12 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.
- GSM9078747 DC001-5-26-16-CD45-1-CD11bpos
- GSM9078748 DC002-5-26-16-CD45-1-CD103pos
- GSM9078749 DC003-5-26-16-CD45-2-CD11bpos
- GSM9078750 DC004-5-26-16-CD45-2-CD103pos
- GSM9078751 DC005-6-7-16-CD45-1-CD11bpos
- GSM9078752 DC006-6-7-16-CD45-1-CD103pos
- GSM9078753 DC007-6-7-16-CD45-2-CD11bpos
- GSM9078754 DC008-6-7-16-CD45-2-CD103pos
- GSM9078755 DC009-6-16-16-CD45-1-CD11bpos
- GSM9078756 DC010-6-16-16-CD45-1-CD103pos
- GSM9078757 DC011-6-16-16-CD45-2-CD11bpos
- GSM9078758 DC012-6-16-16-CD45-2-CD103pos
- GSE268380 Transcriptional analysis of cDC subsets in Irf8+32 -/- and Zeb2 -165(d1+2+3) mice 8 samples shares subsets
- GSE267792 Transcriptional characterization of ILC1 and different subsets of ILC3s lacking REV-ERBs. 30 samples shares subsets
- GSE276029 Transcriptional profiling of cDC2 subsets in IFNAR∆CD11c mice treated with allergens 24 samples shares subsets
- GSE267984 Transcriptional characterization of ILC1 and different subsets of ILC3s lacking REV-ERBs. [ Bulk RNA-seq] 24 samples shares subsets
- GSE285970 IRF4-regulated transcriptional heterogeneity of lung resident CD11b+ cDC2 subsets during influenza virus infection 20 samples shares subsets
- GSE268071 Bulk RNA-seq analysis of exhausted CD8 T cell subsets during LCMV clone 13 infection 16 samples shares subsets
- GSE192711 Comparison of transcriptional profiles of CD62L+ and CD62L- subsets of in vivo primed CD44hiCD4+ T cells by exposure to ovalbumin plus papain 15 samples shares subsets
- GSE263811 Integrated transcriptomic, epigenetic, and TCR clonality analysis of CD4⁺ Tm subsets in liver and lung during chronic GVHD in mice [RNA-seq] 9 samples shares subsets
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.