Barcoded viral tracing identifies bi-directional immunosuppressive astrocyte-glioblastoma cross-talk
RNA-seq (gene expression) · mouse · 33 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 33 samples: 8 conditions, mostly with about 5 replicates eachGroups 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
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 GSE286996_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1210635 and SRA study SRP501148. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 33 samples.
How we read this: 8 replicated groups read from 33 sample titles; they account for 33 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.
- GSM8197594 Astrocytes_Scramble_1 Astrocytes_Scramble
- GSM8197595 Astrocytes_Scramble_2 Astrocytes_Scramble
- GSM8197596 Astrocytes_Scramble_3 Astrocytes_Scramble
- GSM8197597 Astrocytes_Scramble_4 Astrocytes_Scramble
- GSM8197598 Astrocytes_sgFpr1_1 Astrocytes_sgFpr1
- GSM8197599 Astrocytes_sgFpr1_2 Astrocytes_sgFpr1
- GSM8197600 Astrocytes_sgFpr1_3 Astrocytes_sgFpr1
- GSM8197601 Glioma_Scramble_1 Glioma_Scramble
- GSM8197602 Glioma_Scramble_2 Glioma_Scramble
- GSM8197603 Glioma_Scramble_3 Glioma_Scramble
- GSM8197604 Glioma_Scramble_4 Glioma_Scramble
- GSM8197605 Glioma_sgFpr1_1 Glioma_sgFpr1
- GSM8197606 Glioma_sgFpr1_2 Glioma_sgFpr1
- GSM8197607 Glioma_sgFpr1_3 Glioma_sgFpr1
- GSM8197608 Glioma_sgFpr1_4 Glioma_sgFpr1
- GSM8197609 Mo-Macrophage_Scramble_1 Mo-Macrophage_Scramble
- GSM8197610 Mo-Macrophage_Scramble_2 Mo-Macrophage_Scramble
- GSM8197611 Mo-Macrophage_Scramble_3 Mo-Macrophage_Scramble
- GSM8197612 Mo-Macrophage_sgFpr1_1 Mo-Macrophage_sgFpr1
- GSM8197613 Mo-Macrophage_sgFpr1_2 Mo-Macrophage_sgFpr1
- GSM8197614 Mo-Macrophage_sgFpr1_3 Mo-Macrophage_sgFpr1
- GSM8197615 Mo-Macrophage_sgFpr1_4 Mo-Macrophage_sgFpr1
- GSM8197616 Mo-Macrophage_sgFpr1_5 Mo-Macrophage_sgFpr1
- GSM8197617 Microglia_Scramble_1 Microglia_Scramble
- GSM8197618 Microglia_Scramble_2 Microglia_Scramble
- GSM8197619 Microglia_Scramble_3 Microglia_Scramble
- GSM8197620 Microglia_Scramble_4 Microglia_Scramble
- GSM8197621 Microglia_Scramble_5 Microglia_Scramble
- GSM8197622 Microglia_sgFpr1_1 Microglia_sgFpr1
- GSM8197623 Microglia_sgFpr1_2 Microglia_sgFpr1
- GSM8197624 Microglia_sgFpr1_3 Microglia_sgFpr1
- GSM8197625 Microglia_sgFpr1_4 Microglia_sgFpr1
- GSM8197626 Microglia_sgFpr1_5 Microglia_sgFpr1
- GSE263738 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] 57 samples shares immunosuppressive, bi-directional, barcoded, tracing, viral
- GSE263737 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 5OLJ] 33 samples shares immunosuppressive, bi-directional, barcoded, tracing, viral
- GSE275471 Proximity-dependent labeling identifies dendritic cells that prime the antitumor CD4+ T cell response 857 samples shares identifies
- GSE309251 Western diet-induced MASH in PWK/PhJ mice identifies disruptions in amino acid and sphingolipid metabolism contributing to cardiac dysfunction 347 samples shares identifies
- GSE215960 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma [scRNA-seq] 192 samples shares identifies
- 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 identifies
- GSE293874 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse bulk RNA-seq] 167 samples shares identifies
- 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 identifies
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.