Cancer systems immunology reveals myeloid—T cell interactions and B cell activation mediate response to checkpoint inhibition in metastatic breast cancer
Single-cell RNA-seq · mouse · 24 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
- 24 samples
- 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
- Cancer systems immunology reveals myeloid-T cell interactions and B cell activation mediate response to checkpoint inhibition in metastatic breast cancerbioRxiv : the preprint server for biology · 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 GSE303155_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 PRJNA1294265 and SRA study SRP602542. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 24 more — browse all 24 samples with per-sample file links →
- GSE322775 Coordinated immune activation following KRAS inhibition reveals molecular pathways that potentiate and limit anti-tumor immunity 47 samples shares activation, inhibition
- GSE207029 Blockade of avb8 integrin synergizes with checkpoint inhibition to enhance anti-tumor immunity through Cxcl9-dependent augmentation of CD8+ T cell cytotoxicity 12 samples shares checkpoint, inhibition
- GSE319397 Particle Reprogramming of the TLR–Ferroptosis Axis and Immunometabolic Pathways Inhibits Myeloid Suppression to Improve Checkpoint Blockade in Prostate Cancer 9 samples shares checkpoint, myeloid
- GSE331176 Phagosome-mediated activation of STING by purine and pyrimidine-based bacterial cyclic dinucleotides 380 samples shares activation
- GSE243942 Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing [RNA-seq] 125 samples shares activation
- GSE297515 Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammaging 90 samples shares activation
- GSE236129 Activation of RAS/MEK/ERK signaling drives biliary differentiation in primary liver cancer [112UE] 80 samples shares activation
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares checkpoint
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.