Microglia lineage relaxation towards a lymphoid-like state protects against Alzheimer’s disease.
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: 7 conditions, mostly with about 6 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
- Lymphoid gene expression supports neuroprotective microglia functionNature · 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 GSE274896_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 PRJNA1148425 and SRA study SRP526589. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 33 samples.
How we read this: 7 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.
- GSM8460911 Control Cortex microglia rep 1 Control Cortex microglia
- GSM8460912 Control Cortex microglia rep 2 Control Cortex microglia
- GSM8460913 Control Cortex microglia rep 3 Control Cortex microglia
- GSM8460914 5xFAD Cortex microglia rep 1 5xFAD Cortex microglia
- GSM8460915 5xFAD Cortex microglia rep 2 5xFAD Cortex microglia
- GSM8460916 5xFAD Cortex microglia rep 3 5xFAD Cortex microglia
- GSM8460917 PU.1-low Cortex microglia rep 1 PU.1-low Cortex microgl…
- GSM8460918 PU.1-low Cortex microglia rep 2 PU.1-low Cortex microgl…
- GSM8460919 PU.1-low Cortex microglia rep 3 PU.1-low Cortex microgl…
- GSM8460920 PU.1-high Cortex microglia rep 1 PU.1-high Cortex microg…
- GSM8460921 PU.1-high Cortex microglia rep 2 PU.1-high Cortex microg…
- GSM8460922 PU.1-high Cortex microglia rep 3 PU.1-high Cortex microg…
- GSM8460923 PU.1-high Cortex microglia rep 4 PU.1-high Cortex microg…
- GSM8460924 5xFAD+CSF1Ri Cortex microglia rep 1 5xFAD+CSF1Ri Cortex mic…
- GSM8460925 5xFAD+CSF1Ri Cortex microglia rep 2 5xFAD+CSF1Ri Cortex mic…
- GSM8460926 5xFAD+CSF1Ri Cortex microglia rep 3 5xFAD+CSF1Ri Cortex mic…
- GSM8460927 5xFAD+CSF1Ri Cortex microglia rep 4 5xFAD+CSF1Ri Cortex mic…
- GSM8460928 Control Cortex microglia rep 4 Control Cortex microglia
- GSM8460929 Control Cortex microglia rep 5 Control Cortex microglia
- GSM8460930 Control Cortex microglia rep 6 Control Cortex microglia
- GSM8460931 5xFAD Cortex microglia rep 4 5xFAD Cortex microglia
- GSM8460932 5xFAD Cortex microglia rep 5 5xFAD Cortex microglia
- GSM8460933 5xFAD Cortex microglia rep 6 5xFAD Cortex microglia
- GSM8460934 PU.1-low Cortex microglia rep 4 PU.1-low Cortex microgl…
- GSM8460935 PU.1-low Cortex microglia rep 5 PU.1-low Cortex microgl…
- GSM8460936 PU.1-low Cortex microglia rep 6 PU.1-low Cortex microgl…
- GSM8965334 5xFAD;PU.1-low Cortex microglia rep 1 5xFAD;PU.1-low Cortex m…
- GSM8965335 5xFAD;PU.1-low Cortex microglia rep 2 5xFAD;PU.1-low Cortex m…
- GSM8965336 5xFAD;PU.1-low Cortex microglia rep 3 5xFAD;PU.1-low Cortex m…
- GSM8965337 5xFAD;PU.1-low Cortex microglia rep 4 5xFAD;PU.1-low Cortex m…
- GSM8965338 5xFAD;PU.1-high Cortex microglia rep 1 5xFAD;PU.1-high Cortex …
- GSM8965339 5xFAD;PU.1-high Cortex microglia rep 2 5xFAD;PU.1-high Cortex …
- GSM8965340 5xFAD;PU.1-high Cortex microglia rep 3 5xFAD;PU.1-high Cortex …
- GSE296768 Plaque-induced transcriptional reprogramming of microglia towards lymphoid receptor expression protects against Alzheimer's disease [scRNA-seq] 12 samples shares microglia, alzheimer, protects, towards, against
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares microglia, alzheimer
- GSE316055 Differential downstream signaling in microglia lacking Alzheimer’s-related TREM2 or its adaptor TYROBP/DAP12 72 samples shares microglia, alzheimer
- GSE300113 Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset) 59 samples shares microglia, alzheimer
- GSE223424 Immune checkpoint TIM-3 regulates microglia and Alzheimer’s disease 57 samples shares microglia, alzheimer
- GSE273690 Adhesion G protein-coupled receptor ADGRG1 promotes protective microglial response in Alzheimer’s disease 48 samples shares microglia, alzheimer
- GSE277167 Protective variant in PLCγ2 mitigates Alzheimer’s disease associated pathology via enhancing beneficial microglia functions 31 samples shares microglia, alzheimer
- GSE254104 Alzheimer’s disease-linked risk alleles elevate microglial cGAS-associated senescence and neurodegeneration in a tauopathy model [snRNAseq] 27 samples shares microglia, alzheimer
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.