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Immune Receptor Lag3 Deletion Alleviates Neurodegeneration Phenotypes in a Mouse Model of Alzheimer’s Disease

GSE307127 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/09/10 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 12 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
Immune receptor LAG3 regulates microglia function during Alzheimer's diseasebioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Alzheimer’s disease (AD) is the leading cause of dementia, but effective treatments remail unavailable. Using the 5xFAD familial AD mouse model, we show that deletion of the immune checkpoint receptor Lymphocyte activation gene 3 (Lag3) reduces amyloidosis, microgliosis, and neurodegeneration-related behavioral deficits. Transcriptional profiling revealed that Lag3 deletion reverses aberrant expression of disease-associated microglia (DAM) genes and decreased CD8+ T cells infiltration in the brain.
Read the full summary ↓
These findings suggest that Lag3 regulates microglia function and may represent a potential therapeutic target for AD.
Published in
Immune receptor LAG3 regulates microglia function during Alzheimer's disease
Perl AT, Wu J, Dong JD et al. · bioRxiv : the preprint server for biology 2026 · PMID 42182406 · doi:10.64898/2026.05.08.723911
This dataset
Open GSE307127 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 GSE307127_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 PRJNA1314557 and SRA study SRP617426. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42182406) ↗
Study design
12 conditions, mostly in triplicate
WT, 3 month, female, ×3 5xFAD+, 3 month, female, ×3 Lag3-/-, 3 month, female, ×3 Lag3-/-; 5xFAD+, 3 month, female, ×3 WT, 6 month, female, ×3 5xFAD+, 6 month, female, ×3 Lag3-/-, 6 month, female, ×3 Lag3-/-; 5xFAD+, 6 month, female, ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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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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.