Transcriptome and proteome profiling reveals TREM2-dependent and -independent glial response and metabolic perturbation in an Alzheimer’s mouse model
RNA-seq (gene expression) · mouse · 12 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
- 12 samples
- 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
- Transcriptome and proteome profiling reveals TREM2-dependent and -independent glial response and metabolic perturbation in an Alzheimer's mouse modelThe Journal of biological chemistry · 2024
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 GSE279164_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 PRJNA1171003 and SRA study SRP537598. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
- 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 alzheimer, glial
- GSE273690 Adhesion G protein-coupled receptor ADGRG1 promotes protective microglial response in Alzheimer’s disease 48 samples shares alzheimer, glial
- 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 alzheimer, glial
- GSE254104 Alzheimer’s disease-linked risk alleles elevate microglial cGAS-associated senescence and neurodegeneration in a tauopathy model [snRNAseq] 27 samples shares alzheimer, glial
- GSE254103 Alzheimer’s disease-linked risk alleles elevate microglial cGAS-associated senescence and neurodegeneration in a tauopathy model [bulk_RNAseq] 24 samples shares alzheimer, glial
- GSE319246 ApoE4 Drives Microglial Lipid Dysregulation in Alzheimer’s Disease via Epigenetic Reprogramming of the AsxL1/LXRα–H3K4me3 Axis 24 samples shares alzheimer, glial
- GSE300348 Cdkn2a/p16INK4A Loss affects hippocampal transcription in Young Adult Mice Independently of Alzheimer ’s-Associated Genetic Pathways 23 samples shares independent, alzheimer
- GSE288170 Alzheimer's disease risk ABCA7 p.A696S variant disturbs the microglial response to amyloid pathology in mice 20 samples shares alzheimer, glial
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.