Insulin resistance alters cortical inhibitory neurons and microglia to exacerbate Alzheimer’s knock-in mouse phenotypes
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: 13 distinct titles, 2 of them repeatedGroups 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
- Insulin resistance alters cortical inhibitory neurons and microglia to exacerbate Alzheimer's knock-in mouse phenotypesbioRxiv : the preprint server for biology · 2025
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 GSE262426_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 PRJNA1091697 and SRA study SRP497740. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 16 sample titles: 13 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.
- GSM8169486 WTCtrD_020
- GSM8169487 WTCtrD_563
- GSM8169488 WTCtrD_73B
- GSM8169489 WTCtrD_972
- GSM8169490 WTHfD_07C
- GSM8169491 WTHfD_430
- GSM8169492 WTHfD_D77
- GSM8169493 WTHfD_F59
- GSM8169494 dCtrD_322
- GSM8169495 dCtrD_367
- GSM8169496 dCtrD_B04
- GSM8169497 dCtrD_BOA
- GSM8169498 dHfD_834
- GSM8169499 dHfD_A2B
- GSM8169500 dHfD_A55
- GSM8169501 dHfD_D49
- GSE284475 Neuropathy-associated Tecpr2 mutation knock-in mice reveal endolysosomal loss of function phenotypes in neurons and microglia 16 samples shares phenotypes, microglia, knock-in
- GSE304521 SEX-DEPENDENT TYPE I INTERFERON SIGNALING EXACERBATES ALZHEIMER'S PATHOLOGY 82 samples shares exacerbate, alzheimer
- GSE307127 Immune Receptor Lag3 Deletion Alleviates Neurodegeneration Phenotypes in a Mouse Model of Alzheimer’s Disease 36 samples shares phenotypes, alzheimer
- GSE327752 Human breast milk-derived extracellular vesicles alleviate Alzheimer’s disease phenotypes through delivering CD36 18 samples shares phenotypes, alzheimer
- GSE298836 Loss of Histone Methyltransferase Ezh2 Exacerbates Polarization of Macrophages toward M2-Like Phenotypes by Hepatocellular Carcinoma [RNA-Seq] 14 samples shares exacerbate, phenotypes
- GSE171081 Disease-associated microglia adopt stage-specific phenotypes that regulate T cell fate and immunity in glioma 11 samples shares phenotypes, microglia
- GSE218178 Adaptation to an acid microenvironment promotes pancreatic cancer organoid growth and drug resistance 183 samples shares resistance
- GSE307773 Oncogenic MAPK signalling induces epithelial cell state change and therapeutic resistance in vivo [RNA-Seq] 175 samples shares resistance
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.