← BioTransfer GEO Dataset Finder
GEO series

APOE3 and APOE4 Human Astrocytes Differentially Modulate Alzheimer’s Disease Pathology and Microglial Responses in Chimeric Mice

GSE335500 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/07/09 Platform GPL24247
At a glance

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: 6 × Mouse cortex APOE3 astrocyte graft AD APP vs 6 × Mouse cortex APOE4 astrocyte graft AD APPGroups 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.
Summary (written by the submitters)
To investigate how APOE3 and APOE4 human iPSC-derived astrocytes influence the gene expression profile of the mouse host microglia in vivo, we performed bulk RNA sequencing of cortical regions adjacent to transplanted astrocytes in AD chimeric mice. Human iPSC-derived astrocytes (APOE3 or APOE4) were transplanted into neonatal Alzheimer's disease model mice and analyzed 6-7 months post-transplantation. Mouse-specific transcripts were analyzed to compare the transcriptomic profiles of host microglia in AD chimeric mice engrafted with APOE4 versus APOE3 human astrocytes.
This dataset
Open GSE335500 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE335500_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1478654 and SRA study SRP709739. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 × Mouse cortex APOE3 astrocyte graft AD APP vs 6 × Mouse cortex APOE4 astrocyte graft AD APP

Supports a between-group comparison across 12 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.