Reducing CETP activity prevents memory decline in an Alzheimer’s disease mouse model.
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 8 × SGroups 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.
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 GSE314221_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 PRJNA1390280 and SRA study SRP656177. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 1 replicated groups read from 16 sample titles; they account for 8 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.
- GSM9386380 A
- GSM9386381 B
- GSM9386382 C
- GSM9386383 D
- GSM9386384 E
- GSM9386385 F
- GSM9386386 G
- GSM9386387 H
- GSM9386388 S1 S
- GSM9386389 S2 S
- GSM9386390 S3 S
- GSM9386391 S4 S
- GSM9386392 S5 S
- GSM9386393 S6 S
- GSM9386394 S7 S
- GSM9386395 S8 S
- 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, activity
- GSE300964 Genetic inactivation of the Translin/Trax RNase activity alters small RNAs including miRNAs, disrupts gene expression and impairs distinct forms of hippocampal synaptic plasticity and memory 18 samples shares activity, memory
- GSE176506 Synergistic behavioral and neuroinflammatory effects of amyloid neuropathology and sepsis survival in a murine model of Alzheimer’s disease 112 samples shares alzheimer
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares alzheimer
- GSE223424 Immune checkpoint TIM-3 regulates microglia and Alzheimer’s disease 57 samples shares alzheimer
- GSE273690 Adhesion G protein-coupled receptor ADGRG1 promotes protective microglial response in Alzheimer’s disease 48 samples shares alzheimer
- GSE307127 Immune Receptor Lag3 Deletion Alleviates Neurodegeneration Phenotypes in a Mouse Model of Alzheimer’s Disease 36 samples shares alzheimer
- GSE276797 Gene expression profile at single cell level of immune cells from the deep cervical lymph nodes (dCLNs), superficial cervical lymph nodes (sCLNs), and inguinal lymph nodes (iLNs) of wild-type (WT) and Alzheimer's disease (AD) transgenic animals (5xFAD) 34 samples shares 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.