Selective targeting and modulation of plaque associated microglia via systemic hydroxyl dendrimer administration in an Alzheimer’s disease mouse model.
RNA-seq (gene expression) · mouse · 32 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
- 32 samples: 32 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
- Selective targeting and modulation of plaque associated microglia via systemic hydroxyl dendrimer administration in an Alzheimer's disease mouse modelAlzheimer's research & therapy · 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 GSE266470_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 PRJNA1107236 and SRA study SRP505452. 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 32 sample titles: 32 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.
- GSM8247699 Hippocampus, 5xFAD, D45113, 1F
- GSM8247700 Hippocampus, 5xFAD, D45113, 2F
- GSM8247701 Hippocampus, 5xFAD, D45113, 3F
- GSM8247702 Hippocampus, 5xFAD, D45113, 4F
- GSM8247703 Hippocampus, 5xFAD, D45113, 1M
- GSM8247704 Hippocampus, 5xFAD, D45113, 2M
- GSM8247705 Hippocampus, 5xFAD, D45113, 3M
- GSM8247706 Hippocampus, 5xFAD, D45113, 4M
- GSM8247707 Hippocampus, WT, D45113, 1F
- GSM8247708 Hippocampus, WT, D45113, 2F
- GSM8247709 Hippocampus, WT, D45113, 3F
- GSM8247710 Hippocampus, WT, D45113, 4F
- GSM8247711 Hippocampus, WT, D45113, 1M
- GSM8247712 Hippocampus, WT, D45113, 2M
- GSM8247713 Hippocampus, WT, D45113, 3M
- GSM8247714 Hippocampus, WT, D45113, 4M
- GSM8247715 Hippocampus, 5xFAD, Vehicle, 1F
- GSM8247716 Hippocampus, 5xFAD, Vehicle, 2F
- GSM8247717 Hippocampus, 5xFAD, Vehicle, 3F
- GSM8247718 Hippocampus, 5xFAD, Vehicle, 4F
- GSM8247719 Hippocampus, 5xFAD, Vehicle, 1M
- GSM8247720 Hippocampus, 5xFAD, Vehicle, 2M
- GSM8247721 Hippocampus, 5xFAD, Vehicle, 3M
- GSM8247722 Hippocampus, 5xFAD, Vehicle, 4M
- GSM8247723 Hippocampus, WT, Vehicle, 1F
- GSM8247724 Hippocampus, WT, Vehicle, 2F
- GSM8247725 Hippocampus, WT, Vehicle, 3F
- GSM8247726 Hippocampus, WT, Vehicle, 4F
- GSM8247727 Hippocampus, WT, Vehicle, 1M
- GSM8247728 Hippocampus, WT, Vehicle, 2M
- GSM8247729 Hippocampus, WT, Vehicle, 3M
- GSM8247730 Hippocampus, WT, Vehicle, 4M
- GSE327618 Targeting microglial phosphatidylethanolamine synthesis pathway promotes GABARAP-associated phagocytosis and A clearance in Alzheimer's disease 9 samples shares targeting, microglia, alzheimer
- GSE296071 Selective targeting of mutant huntingtin intron-1 improves rescue provided by antisense oligonucleotides in HTT.Q111/+ mice 30 samples shares selective, targeting
- GSE328769 Alzheimer's disease associated Presenilin 2 N141I mutation impairs neuronal lipid homeostasis and mitochondrial dynamics through selective downregulation of the Golgi exchange factor Gbf1 16 samples shares selective, alzheimer
- GSE273647 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [RNA-seq 3] 10 samples shares selective, targeting
- GSE273648 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [RNA-seq 4] 10 samples shares selective, targeting
- GSE222227 Induced regulatory B cells stably expressing IL-10 cure CNS autoimmunity by targeting microglia 22 samples shares targeting, microglia
- GSE284500 Transcriptional profiling of hippocampus from a zQ175 KI mouse model of Huntington's disease treated with either HTT-10150 siRNA targeting full-length HTT or combination of HTT-634 and HTT-486 siRNAs targeting HTT1a 192 samples shares targeting
- GSE284497 Transcriptional profiling of striatum from a zQ175 KI mouse model of Huntington's disease treated with HTT-10150 siRNA targeting full-length Htt 143 samples shares targeting
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.