Gene expression profile at single cell level of murine glioblastomas treated with and without anti-CSF-1R inhibitors
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.
- 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
- Fibrotic response to anti-CSF-1R therapy potentiates glioblastoma recurrenceCancer cell · 2024
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 GSE229409_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 PRJNA954378 and SRA study SRP432007. 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.
- GSM7162888 41390-14d
- GSM7162889 41397-7d
- GSM7162890 41405-7d
- GSM7162891 41407-14d
- GSM7162892 41415-UT
- GSM7162893 41420-UT
- GSM7162894 42358-7d
- GSM7162895 42668-UT
- GSM7162896 42669-14d
- GSM7162897 42670-14d
- GSE266971 Spatial and scRNAseq profiling of murine glioblastomas treated with and without anti-CSF-1R inhibitors 23 samples shares glioblastomas, anti-csf-1r, inhibitors, treated, without
- GSE298720 Global gene expression profiles were compared among IL1B-treated, Ad-OSCAR-treated, and control mice, with or without subsequent treatment with OSCAR inhibitors (Brivudine or Adefovir). 35 samples shares inhibitors, treated, without
- GSE234197 Gene expression profile at single cell level of whole lungs of mice collected from bleomycin or PBS-treated young and old mice at day 14, day 28 and day 60 post injection 12 samples shares treated, level
- GSE201128 The response to lipopolysaccharide (LPS) of bone marrow derived macrophages treated with oxysterol binding protein (OSBP) inhibitors 30 samples shares inhibitors, treated
- GSE293533 Bulk RNA sequencing of bone marrow CD8+ T cells in BMF mice treated with or without baricitinib at different time points 16 samples shares treated, without
- GSE229697 Transcriptomic analysis of high-fat diet-fed mice treated with CYP4A inhibitors 12 samples shares inhibitors, treated
- GSE337208 scRNA seq. of PDAC models treated with Kras inhibitors in combination with checkpoint immunotherapy 9 samples shares inhibitors, treated
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares treated
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.