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Effect of an AAV1 containing an sh-RNA targeting Angptl2 on the hypocampus of male and female atherosclerotic mice

GSE278331 Mus musculus (mouse) Single-nucleus RNA-seq 12 samples Submitted 2025/07/02 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 12 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
12 samples
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
Targeting angiopoietin like-2 positive senescent cells improves cognitive impairment in adult male but not female atherosclerotic LDLr(-/-);hApoB(100)(+/+) miceGeroScience · 2025
Summary (written by the submitters)
Cerebral accumulation of inflammatory senescent cells (SnC) may compromise the continuum between endothelial (EC) and neuronal function, leading to vascular cognitive impairment (VCI). We hypothesized that targeted elimination of vascular SnC will preserve cerebrovascular and neuronal functions in atherosclerotic mice of both sexes, demonstrating the causal contribution of SnC in cognitive decline.
Read the full summary ↓
Male and female atherosclerotic mice (ATX; LDLR-/-;hApoB+/+, n=12 per group) of 6-month of age were treated twice over 3 months with an adeno-associated virus-1 delivering a shRNA targeting vascular Angptl2, a strong inflammatory factor of SnEC; a sh-scramble was used as a control. The Morris water maze test assessed cognition. In males, targeting vascular SnC had no effect on short-term memory but improved long-term memory (p<0.05 vs. sh-scramble); in contrast, in females, the treatment reduced short-term memory (p<0.05), and had no effect on long-term memory. Endothelium-dependent flow-mediated dilations in pressurized cerebral arteries were improved (p<0.05) by the treatment in both males and females. Single-nuclei RNA-sequencing (hippocampal region) revealed a strong sexual dimorphism in transcriptomics profile, with the overexpression of senescence pathways only in male vascular cells. The analysis also revealed that male sex predicted the response to the sh-Angptl2 in oligodendrocytes progenitor cells and neurons (AUC>0.8). Accordingly, the sh-Angptl2 reduced the number of EC expressing angptl2 in males (-75%), but not in females (-10%). In conclusion, these data demonstrate a sexual dimorphism in the causal contribution of vascular senescence in cerebrovascular dysfunction and cognitive impairment: only in male atherosclerotic mice, vascular senescence contributes to VCI.
Published in
Targeting angiopoietin like-2 positive senescent cells improves cognitive impairment in adult male but not female atherosclerotic LDLr(-/-);hApoB(100)(+/+) mice
Lambert M, Miquel G, Cagnone G et al. · GeroScience 2025 · PMID 40587054 · doi:10.1007/s11357-025-01763-x
This dataset
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.

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 GSE278331_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1166667 and SRA study SRP535475. Searching any of these in the dataset finder brings you back here.

Samples in this study

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