Senescent microglia limit remyelination through the senescence associated secretory phenotype
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 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
- Senescent-like microglia limit remyelination through the senescence associated secretory phenotypeNature communications · 2025
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 GSE268386_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 PRJNA1117003 and SRA study SRP510084. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8290502 3M Vehicle 20dpl rep1 3M Vehicle 20dpl
- GSM8290503 3M Vehicle 20dpl rep2 3M Vehicle 20dpl
- GSM8290504 3M Vehicle 20dpl rep3 3M Vehicle 20dpl
- GSM8290505 3M AP 20dpl rep1 3M AP 20dpl
- GSM8290506 3M AP 20dpl rep2 3M AP 20dpl
- GSM8290507 3M AP 20dpl rep3 3M AP 20dpl
- GSM8290508 18M Vehicle 20dpl rep1 18M Vehicle 20dpl
- GSM8290509 18M Vehicle 20dpl rep2 18M Vehicle 20dpl
- GSM8290510 18M Vehicle 20dpl rep3 18M Vehicle 20dpl
- GSM8290511 18M AP 20dpl rep1 18M AP 20dpl
- GSM8290512 18M AP 20dpl rep2 18M AP 20dpl
- GSM8290513 18M AP 20dpl rep3 18M AP 20dpl
- GSM8290514 3M Vehicle NL rep1 3M Vehicle NL
- GSM8290515 3M Vehicle NL rep2 3M Vehicle NL
- GSM8290516 3M Vehicle NL rep3 3M Vehicle NL
- GSM8290517 18M Vehicle NL rep1 18M Vehicle NL
- GSM8290518 18M Vehicle NL rep2 18M Vehicle NL
- GSM8290519 18M Vehicle NL rep3 18M Vehicle NL
- GSE296698 Vascular Cell Senescence and Age-Related Endothelial Dysfunction: The Role of the Senescence-Associated Secretory Phenotype and CXCL12 15 samples shares senescence, secretory, phenotype
- GSE318804 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease. [macro_senescence] 12 samples shares senescence, senescent
- GSE290573 Doxorubicin induces the senescence-associated secretion phenotype in RAW264.7 cells 10 samples shares senescence, phenotype
- GSE324025 Microglial sTREM2 limits dyskinesia and acts on TrkB to support circuit plasticity. 59 samples shares microglia, limit
- GSE278199 Microglia regulate cortical remyelination via ΤNFR1-dependent phenotypic polarization [scRNA-Seq] 45 samples shares remyelination, microglia
- GSE302792 SenCat: Cataloging human cell senescence through multiomic profiling of multiple senescent primary cell types 33 samples shares senescence, senescent
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares microglia
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares microglia
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.