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Blood-brain barrier disrupting stimuli induce production of extracellular vesicles with distinct protein cargoes and functionality

GSE315626 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2026/01/17 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 30 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
Homo sapiens (human)
Samples
30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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)
The blood-brain barrier (BBB) protects the brain from substances in the circulation; yet, this barrier can be breached. Systemic lupus erythematosus is a disease in which over 50% of patients experience manifestations of neuropsychiatric lupus (NPSLE), with many displaying BBB dysfunction. High levels of TNFα, IL-1b, C5a, and epinephrine, which have all been shown to cause BBB permeability, may be present in the serum of SLE patients.
Read the full summary ↓
Brain microvascular endothelial cells (BMVECs) are a major structural element of the BBB. We asked whether BMVECs stimulated with barrier-disrupting factors release extracellular vesicles (EVs) which might participate in autocrine signaling or might have utility as diagnostic biomarkers of BBB permeability. We analyzed proteins in EVs secreted by unstimulated and stimulated BMVECs by mass spectrometry and used secreted EVs for further BMVEC stimulation. We subjected BMVECs to bulk RNA-seq to identify response signatures to the initial stimulus and to secondary stimulation with EVs. We show that there are agent-specific EV-associated protein profiles. EVs from BMVECs subjected to BBB-breaching stimuli alter the BMVEC transcriptional program, representing a potential feed-forward mechanism. Finally, we suggest that the proteins associated with EVs might be markers of BBB disruption.
This dataset
Open GSE315626 in finder → Find more human 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 GSE315626_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 PRJNA1398350 and SRA study SRP659803. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 30 sample titles: 30 distinct titles with little repetition. 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 human RNA-seq datasets in GEO →

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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.