Tumor immunity following radiopharmaceutical + checkpoint blockade varies with treatment sequence, radioisotope, and tumor immunogenicity
Single-cell RNA-seq · mouse · 10 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
- 10 samples: 10 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
- Priming versus propagating: distinct immune effects of alpha- versus beta-particle emitting radiopharmaceuticals when combined with immune checkpoint inhibition in miceNature 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 GSE275609_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 PRJNA1152105 and SRA study SRP528474. 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 10 sample titles: 10 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.
- GSM8480812 B78 Ac+ICI RepD [scRNA-seq]
- GSM8480813 B78 Lu+ICI RepD [scRNA-seq]
- GSM8480814 B78 Y+ICI RepD [scRNA-seq]
- GSM8480815 B78 EBRT+ICI RepD [scRNA-seq]
- GSM8480816 B78 ICI RepD [scRNA-seq]
- GSM8480817 B78 Ac+ICI RepD [scTCR-seq]
- GSM8480818 B78 Lu+ICI RepD [scTCR-seq]
- GSM8480819 B78 Y+ICI RepD [scTCR-seq]
- GSM8480820 B78 EBRT+ICI RepD [scTCR-seq]
- GSM8480821 B78 ICI RepD [scTCR-seq]
- 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, immunity, blockade
- GSE307388 Immune checkpoint blockade augments lymphodepleting chemotherapy-induced antitumor immunity by expanding effector CD8+ T cell clones in preclinical models of cancer 12 samples shares checkpoint, immunity, blockade
- GSE270050 Expansion of Tumor-Infiltrating CD8+ T Cell Clonotypes Occurs in the Spleen in Response to Immune Checkpoint Blockade 29 samples shares checkpoint, blockade
- GSE285414 Functional memory T cells are derived from exhausted clones and expanded by checkpoint blockade [scRNATCR_rechallenge] 21 samples shares checkpoint, blockade
- GSE285411 Functional memory T cells are derived from exhausted clones and expanded by checkpoint blockade [scRNATCR_Atlas] 21 samples shares checkpoint, blockade
- GSE263391 Hepatocellular carcinoma specific epigenetic checkpoint bi-directionally regulates antitumor immunity of CD4+T cell 16 samples shares checkpoint, immunity
- GSE299686 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [bulk RNA-seq] 178 samples shares checkpoint, blockade
- GSE299683 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [scRNA-seq] 125 samples shares checkpoint, blockade
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.