SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE [Microglia_IL17RA]
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: 12 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
- Sex-dependent APOE4 neutrophil-microglia interactions drive cognitive impairment in Alzheimer's diseaseNature medicine · 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 GSE243746_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 PRJNA1019749 and SRA study SRP462590. 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 12 sample titles: 12 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.
- GSM7795223 Sample_1_Microglia_WT
- GSM7795224 Sample_2_Microglia_WT
- GSM7795225 Sample_3_Microglia_WT
- GSM7795226 Sample_4_Microglia_WT
- GSM7795227 Sample_5_Microglia_WT
- GSM7795228 Sample_6_Microglia_WT
- GSM7795229 Sample_7_Microglia_WT
- GSM7795230 Sample_8_Microglia_WT
- GSM7795231 Sample_9_Microglia_CX3_IL17
- GSM7795232 Sample_10_Microglia_CX3_IL17
- GSM7795233 Sample_11_Microglia_CX3_IL17
- GSM7795234 Sample_12_Microglia_CX3_IL17
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- GSE159911 “Bench-to-Bedside and Back” analysis of NAFLD model reveals common transcriptomic shifts between mouse and human during disease progression 152 samples shares disease
- GSE176506 Synergistic behavioral and neuroinflammatory effects of amyloid neuropathology and sepsis survival in a murine model of Alzheimer’s disease 112 samples shares disease
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.