The Gain-of-Function TREM2-T96K Mutation Increases Risk for Alzheimer’s Disease by Impairing Microglial Function [scRNA-Seq]
Single-cell RNA-seq · mouse · 15 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
- 15 samples: 15 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
- The gain-of-function TREM2-T96K mutation increases risk for Alzheimer's disease by impairing microglial functionNeuron · 2026
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 GSE307686_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 PRJNA1322524 and SRA study SRP618943. 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 15 sample titles: 15 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.
- GSM9229299 Female_mice_F601_5XFAD_Trem2_p_p
- GSM9229300 Female_mice_F593_5XFAD_Trem2_p_p
- GSM9229301 Female_mice_F604_5XFAD_Trem2_p_p
- GSM9229302 Female_mice_F605_5XFAD_Trem2_p_p
- GSM9229303 Female_mice_F600_5XFAD_Trem2_T96K_p
- GSM9229304 Female_mice_F579_5XFAD_Trem2_T96K_p
- GSM9229305 Female_mice_F585_5XFAD_Trem2_T96K_p
- GSM9229306 Female_mice_F592_5XFAD_Trem2_T96K_p
- GSM9229307 Female_mice_F581_5XFAD_Trem2_T96K_T96K
- GSM9229308 Female_mice_F586_5XFAD_Trem2_T96K_T96K
- GSM9229309 Female_mice_F595_5XFAD_Trem2_T96K_T96K
- GSM9229310 Female_mice_F613_5XFAD_Trem2_T96K_T96K
- GSM9229311 Female_mice_F614_5XFAD_Trem2_T96K_T96K
- GSM9229312 Female_mice_F584_Trem2_p_p
- GSM9229313 Female_mice_F591_Trem2_T96K_p
- GSE329403 HCN4 gain-of-function mutation increases intrinsic heart rate and limits maladaptive remodeling under pressure overload 14 samples shares gain-of-function, increases, mutation
- 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 microglial, alzheimer
- GSE273690 Adhesion G protein-coupled receptor ADGRG1 promotes protective microglial response in Alzheimer’s disease 48 samples shares microglial, alzheimer
- GSE243110 A TrkB and TrkC partial agonist prevents synaptic plasticity deficits and elicits activity-dependent synaptic and microglial transcriptomic changes in a late-stage Alzheimer’s disease mouse model 36 samples shares microglial, alzheimer
- GSE254104 Alzheimer’s disease-linked risk alleles elevate microglial cGAS-associated senescence and neurodegeneration in a tauopathy model [snRNAseq] 27 samples shares microglial, alzheimer
- GSE254103 Alzheimer’s disease-linked risk alleles elevate microglial cGAS-associated senescence and neurodegeneration in a tauopathy model [bulk_RNAseq] 24 samples shares microglial, alzheimer
- GSE319246 ApoE4 Drives Microglial Lipid Dysregulation in Alzheimer’s Disease via Epigenetic Reprogramming of the AsxL1/LXRα–H3K4me3 Axis 24 samples shares microglial, alzheimer
- GSE288170 Alzheimer's disease risk ABCA7 p.A696S variant disturbs the microglial response to amyloid pathology in mice 20 samples shares microglial, 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.