Subtle changes in brain expression modules in Alzheimer’s disease TREM2 carriers compared to non-carriers
RNA-seq (gene expression) · human · 133 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
- Homo sapiens (human)
- Samples
- 133 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.
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 GSE140841_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 PRJNA591151 and SRA study SRP231430. 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.
+ 133 more — browse all 133 samples with per-sample file links →
- GSE226507 Systematic characterization of brain cellular crosstalk reveals a novel role for SEMA6D in TREM2-associated microglial function in Alzheimer’s disease 12 samples shares trem2, alzheimer
- GSE268599 Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease 146 samples shares alzheimer, changes
- GSE249477 Blood RNA transcripts show changes in inflammation and lipid metabolism in Alzheimer’s disease and mitochondrial function in mild cognitive impairment 62 samples shares alzheimer, changes
- GSE261817 Gene-expression profiling of individuals resilient to Alzheimer's disease reveals higher expression of genes related to metallothionein and mitochondrial processes and no changes in the unfolded protein response 35 samples shares alzheimer, changes
- GSE284141 Increased APOE abundance in the brain in Down syndrome - Alzheimer’s disease compared with early onset-Alzheimer's disease is associated with elevated APP and C- terminal fragment abundance 16 samples shares alzheimer, compared
- GSE285294 Cannabis Use and Cannabidiol Modulate HIV-Induced Alterations in TREM2 Expression: Implications for Age-Related Neuropathogenesis 48 samples shares trem2
- GSE241858 iPSC-derived microglia carrying the TREM2 R47H/+ mutation are pro-inflammatory and promote synapse loss. 35 samples shares trem2
- GSE293037 Bulk transcriptome analysis of wildtype, TREM2 knockout, GPR34 knock-out or TREM2/GPR34 double knock-out iPSC-derived human microglia treated either with PBS or myelin. 32 samples shares trem2
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.