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Microglia TFEB Activation Attenuates Alzheimer’s Disease Pathology by Enhancing Autophagy-Lysosomal Function

GSE314708 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/02/13 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Microglia TFEB activation attenuates Alzheimer's disease pathology by enhancing autophagy-lysosomal functionJournal of neuroinflammation · 2026
Summary (written by the submitters)
Alzheimer’s disease (AD) is characterized by amyloid-β (Aβ) accumulation, neuroinflammation, synaptic dysfunction, and cognitive decline. Impairment of microglial autophagy-lysosomal pathway (ALP) is increasingly recognized as a key driver of the disease progression. Transcription factor EB (TFEB), a master regulator of ALP, has emerged as a promising therapeutic target; however, its specific role in microglia remains unclear.
Read the full summary ↓
Here, we aimed to determine the therapeutic effects of microglial TFEB expression in AD pathogenesis. We established a tamoxifen-inducible, microglia-specific TFEB-overexpressing 5xFAD mouse line (5xTFEB) and conducted behavioural testing, histopathology and biochemical analyses, live-cell imaging of Aβ phagocytosis, and bulk RNA sequencing. Differential gene expressions were analysed, and inflammasome activation was evaluated. Microglial TFEB overexpression restored ALP function, promoted phagolysosomal clearance of oligomeric Aβ, and reduced the amyloid burden in the cortex, hippocampus, and entorhinal cortex of the 5xFAD mice. These changes rescued memory deficits in both male and female 5xTFEB mice. Transcriptomic profiling revealed upregulation of ALP and downregulation of inflammatory signalling. Additionally, inflammasome activation was attenuated in 5xTFEB mice. Targeted TFEB activation in microglia reprograms degradative and immune pathways, enhancing Aβ clearance while alleviating neuroinflammation and cognitive impairment in AD. Overall, microglial TFEB modulation is a promising cell-type–specific therapeutic strategy for AD and related neurodegenerative disorders.
Published in
Microglia TFEB activation attenuates Alzheimer's disease pathology by enhancing autophagy-lysosomal function
Kim Y, Ha TY, Kondaurova O et al. · Journal of neuroinflammation 2026 · PMID 41673711 · doi:10.1186/s12974-026-03728-z
This dataset
Open GSE314708 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 GSE314708_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 PRJNA1392484 and SRA study SRP657292. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41673711) ↗
Study design
6 conditions, mostly in triplicate
WT_CX ×3 5xFAD_CX ×3 5xTFEB_CX ×3 WT_HP ×3 5xFAD_HP ×3 5xTFEB_HP ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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

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