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Bi-directional immunosuppressive interactions between astrocytes and glioblastoma cells identified by barcoded viral tracing [Mouse Bulk RNA-Seq Dataset of Monocytes, T Cells and Astrocytes 63FG]

GSE263738 Mus musculus (mouse) Single-cell RNA-seq 57 samples Submitted 2025/04/28 Platform GPL21103
At a glance

Single-cell RNA-seq · mouse · 57 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
57 samples: 16 conditions, mostly in triplicateGroups 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
Barcoded viral tracing identifies immunosuppressive astrocyte-glioma interactionsNature · 2025
Summary (written by the submitters)
Glioblastoma (GBM) is the most lethal primary brain malignancy. Immunosuppression in the GBM tumor microenvironment (TME) presents a major barrier to immune-targeted therapies. However, our understanding of mechanisms of immunomodulation in the GBM TME is still limited.
Read the full summary ↓
To address this challenge, we developed a viral barcode interaction tracing approach for the analysis of cell-cell communication in the TME in GBM samples and preclinical models with single-cell resolution, which we combined with single-cell and bulk RNA-seq analyses of GBM clinical samples and pre-clinical models, human organotypic GBM slice cultures, in vivocell-specific CRISPR/Cas9-driven genetic perturbations and human and mousein vitroexperimental systems to identify a novel bi-directional communication pathway between ANXA1 expressed inastrocytes and its receptor FPR1 expressed by GBM cells that limits anti-tumor immune responses. ANXA1 expression in astrocytes and FPR1 expression in cancer cells are associated with shorter survival and earlier recurrence in GBM patients. The inactivation of astrocyte-glioma ANXA1/FPR1-signaling enhanced tumor specific CD4+ and CD8+ T-cell responses, increasing tumor infiltration by neoantigen-specific CD8+ T cells while limiting transcriptional modules linked to T-cell exhaustion; ANXA1/FPR1-signaling inactivation also boosted tumor-associated macrophage responses. Using pre-clinical models and human GBMin vitroexperimental systems, we established that FPR1 inhibits immunogenic necroptosis in tumor cells, while ANXA1 retrograde signaling suppresses NF-kB and inflammasome activation within astrocytes. In summary, we developed a new barcoding approach to analyze TME cell-cell interactions with single-cell resolution in clinical samples and pre-clinical models, and used it to identify a novel pathway of bidirectional ANXA1–FPR1 astrocyte-GBM communication which promotes immunoevasion and cancer progression.
Published in
Barcoded viral tracing identifies immunosuppressive astrocyte-glioma interactions
Andersen BM, Faust Akl C, Wheeler MA et al. · Nature 2025 · PMID 40562937 · doi:10.1038/s41586-025-09191-9
This dataset
Open GSE263738 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE263738_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1099133 and SRA study SRP501139. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40562937) ↗
Study design
16 conditions, mostly in triplicate
CD8_sgRandom ×5 CD4_AAVsgRosa ×5 Glioma_AAVsgAnxa1 ×4 CD8_sgFpr1 ×4 CD8_AAVsgRosa ×4 CD8_AAVsgAnxa1 ×4 CD4_AAVsgAnxa1 ×4 Astro_AAVsgAnxa1 ×4 +8 more

Supports a between-group comparison across 57 samples.

How we read this: 16 replicated groups read from 57 sample titles; they account for 57 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.

Samples in this study

+ 17 more — browse all 57 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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