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Spatially resolved single-cell analysis uncovers protein kinase Cδ-expressing microglia with anti-tumor activity in glioblastoma [scRNA-seq]

GSE298688 Mus musculus (mouse) Single-cell RNA-seq 3 samples Submitted 2025/11/18 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 3 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
3 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
Spatial single-cell profiling identifies protein kinase Cδ-expressing microglia with anti-tumor function in glioblastomaiScience · 2026
Summary (written by the submitters)
The glioblastoma (GBM) microenvironment contains resident immune cells with intrinsic anti-tumor potential, particularly microglia. Understanding the single-cell spatial heterogeneity and interactions between immune cells and brain tumor–initiating cells (BTICs) is essential for identifying therapeutic targets to reprogram immune responses and suppress BTIC growth.
Read the full summary ↓
Using single-cell and spatial transcriptomics, we mapped immune cell populations in the GBM microenvironment and identified signaling networks mediating immune–cancer cell interactions. We discovered a previously unrecognized subset of microglia expressing protein kinase Cδ (PKCδ) with anti-tumor activity against BTICs. The presence of PKCδ-expressing microglia was validated in human GBM specimens. Enhancing PKCδ in microglia via adeno-associated virus or niacin increased phagocytosis of patient-derived BTICs in vitro and improved survival in GBM-bearing mice. Data from The Cancer Genome Atlas (TCGA) revealed that high PKCδ expression correlates with increased apoptosis, phagocytosis, and immune signaling pathways. These findings offer highlight PKCδ+ microglia as a promising therapeutic target in GBM.
Published in
Spatial single-cell profiling identifies protein kinase Cδ-expressing microglia with anti-tumor function in glioblastoma
Mirzaei R, McNeil R, D'Mello C et al. · iScience 2026 · PMID 41503214 · doi:10.1016/j.isci.2025.114281
This dataset
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.

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 GSE298688_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1270954 and SRA study SRP589246. Searching any of these in the dataset finder brings you back here.

Samples in this study

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