Pan-cancer single-cell atlas of mouse and human tumor-associated dendritic cells
Single-cell RNA-seq · mouse · 17 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 17 samples: 15 distinct titles, 1 of them repeatedGroups 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
- Pan-cancer single-cell atlases of mouse and human tumor-associated dendritic cellsNature communications · 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 GSE304727_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 PRJNA1302406 and SRA study SRP607024. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 14 samples read as cases, 3 as controls.
How we read this: Read from 17 sample titles: 15 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.
- GSM9155884 E0771 tumor day 20
- GSM9155885 E0771 tumor day 14
- GSM9155886 E0771 tumor day 9
- GSM9155887 B16-F10 tumor
- GSM9155888 LLC-OVA tumor
- GSM9155889 Lymph node LLC-OVA tumor-bearing mice
- GSM9155890 Lymph node naive mice
- GSM9155891 Spleen naive mice, cDNA
- GSM9155892 Spleen naive mice, BCR
- GSM9155893 Spleen LLC-OVA tumor-bearing mice, cDNA
- GSM9155894 Spleen LLC-OVA tumor-bearing mice, BCR
- GSM9155895 KP late stage tumor, cDNA
- GSM9155896 KP late stage tumor, ADT
- GSM9155897 KP early stage tumor, cDNA
- GSM9155898 KP early stage tumor,ADT
- GSM9155899 MMTV-PyMT spontaneous tumor
- GSM9155900 KPM tumor
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- GSE216371 A single-cell atlas of chromatin accessibility in mouse organogenesis 68 samples shares single-cell
- GSE309471 Single-cell RNA sequencing of lung cells from bleomycin-induced and doxycycline-inducible TGF-β transgenic mouse models of pulmonary fibrosis 46 samples shares single-cell
- GSE215963 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma. 1497 samples shares single-cell
- GSE294772 Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging [snATAC-Seq] [10X Multiome] 142 samples shares single-cell
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares single-cell
- GSE313761 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - scRNA-seq of Adam12CKO Mouse Model CD45- cells 11 samples shares single-cell
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.