Conventional dendritic cells of lymphoid origin with a preferential distribution to barrier tissues [cDCs_RNA-seq]
Single-cell RNA-seq · mouse · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × L-cDC1_sample vs 3 × L-cDC2_sample vs 3 × M-cDC1_sample vs 3 × M-cDC2_sampleGroups 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
- Diverse developmental pathways of lymphoid conventional dendritic cells with distinct tissue distribution and functionScience advances · 2025
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 GSE272472_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1136942 and SRA study SRP520557. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8403186 L-cDC1_sample1 L-cDC1_sample
- GSM8403187 L-cDC1_sample2 L-cDC1_sample
- GSM8403188 L-cDC1_sample3 L-cDC1_sample
- GSM8403189 L-cDC2_sample1 L-cDC2_sample
- GSM8403190 L-cDC2_sample2 L-cDC2_sample
- GSM8403191 L-cDC2_sample3 L-cDC2_sample
- GSM8403192 M-cDC1_sample1 M-cDC1_sample
- GSM8403193 M-cDC1_sample2 M-cDC1_sample
- GSM8403194 M-cDC1_sample3 M-cDC1_sample
- GSM8403195 M-cDC2_sample1 M-cDC2_sample
- GSM8403196 M-cDC2_sample2 M-cDC2_sample
- GSM8403197 M-cDC2_sample3 M-cDC2_sample
- GSE280985 An immunobiliary single-cell atlas resolves crosstalk between type 2 conventional dendritic cells and γδ T cells in cholangitis [scRNA-seq] 14 samples shares conventional, dendritic, rna-seq
- GSE293874 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse bulk RNA-seq] 167 samples shares dendritic, rna-seq
- GSE337601 XCR1+ and CD11b+ migratory dendritic cells cooperate for the crosspriming of intratumoral CD8+ T cells with a tissue-resident memory phenotype [RNA-Seq] 36 samples shares dendritic, rna-seq
- GSE285614 Adipocyte death drives fat redistribution from adipocytes to hepatocytes in steatotic liver disease via S100A8+ macrophages [RNA-seq] 34 samples shares distribution, rna-seq
- GSE213012 Total and dendritic RNA-sequencing from primary mouse cortical neurons 32 samples shares dendritic, rna-seq
- GSE304588 Revealing an unconventional JAK1/2-STAT3 branch in macrophage IFNγ signaling [RNA-Seq] 30 samples shares conventional, rna-seq
- GSE325329 Transcriptomic profiling of macrophages that phagocytosed apoptotic Treg or conventional CD4⁺ T (Tconv) cells under different polarization conditions [RNA-Seq] 28 samples shares conventional, rna-seq
- GSE300014 The CARM1 Epigenetic Enzyme Inhibits Cross-presenting Dendritic Cell Function in Cancer Immunity [RNA-seq] 26 samples shares dendritic, 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.