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Acute Sleep Deprivation Accelerates Brain Endothelial Cell Senescence and Functional Changes of Endothelial Cells in Mice

GSE299158 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/06/07 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
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)
Sleep, a fundamental physiological process occupying approximately one - third of the human lifespan, is essential for maintaining overall health. Acute sleep deprivation (ASD), a prevalent condition in modern society, has been strongly associated with the pathogenesis of various neurodegenerative diseases. Endothelial cells play a pivotal role in regulating vascular tone, modulating inflammatory responses, and maintaining barrier integrity.
Read the full summary ↓
While previous research has indicated that sleep deprivation can contribute to endothelial cell dysfunction, potentially leading to the development of atherosclerosis, hypertension, and other vascular disorders, the precise effects of ASD on brain endothelial cells and the underlying molecular mechanisms remain incompletely understood. Our study focuses on exploring the specific effects of acute sleep deprivation on the phenotypic characteristics and molecular functions of brain endothelial cells. Through bioinformatics analysis and multiple experimental approaches, it reveals the close relationship between acute sleep deprivation and endothelial cell senescence as well as alterations in molecular functions. By uncovering the molecular change, we provides a theoretical basis and novel perspectives for the research and treatment of related diseases.
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 GSE299158_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: 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 PRJNA1272998 and SRA study SRP590541. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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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.