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Extracellular vesicles alter trophoblast function in pregnancies complicated by COVID-19

GSE268230 Homo sapiens (human) RNA-seq (gene expression) 129 samples Submitted 2025/04/17 Platform GPL24676Platform GPL30882
At a glance

RNA-seq (gene expression) · human · 129 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
129 samples: 17 conditions, mostly with about 10 replicates eachGroups 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
Extracellular Vesicles Alter Trophoblast Function in Pregnancies Complicated by COVID-19Journal of extracellular vesicles · 2025
Summary (written by the submitters)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and resulting coronavirus disease (COVID-19) causes placental dysfunction, which increases the risk of adverse pregnancy outcomes. While abnormal placental pathology resulting from COVID-19 is common, direct infection of the placenta is rare. This suggests that pathophysiology associated with maternal COVID-19, rather than direct placental infection, is responsible for placental dysfunction and alteration of the placental transcriptome.
Read the full summary ↓
We hypothesized that maternal circulating extracellular vesicles (EVs), altered by COVID-19 during pregnancy, contribute to placental dysfunction. To examine this hypothesis, we characterized maternal circulating EVs from pregnancies complicated by COVID-19 and tested their effects on trophoblast cell physiology in vitro. We found that the gestational timing of COVID-19 is a major determinant of circulating EV function and cargo. In vitro trophoblast exposure to EVs isolated from patients with an active infection at the time of delivery, but not EVs isolated from Controls, altered key trophoblast functions including hormone production and invasion. Thus, circulating EVs from participants with an active infection, both symptomatic and asymptomatic cases, can disrupt vital trophoblast functions. EV cargo differed between participants with COVID-19 and Controls, which may contribute to the disruption of the placental transcriptome and morphology. Our findings show that COVID-19 can have effects throughout pregnancy on circulating EVs and circulating EVs are likely to participate in placental dysfunction induced by COVID-19.
Published in
Extracellular Vesicles Alter Trophoblast Function in Pregnancies Complicated by COVID-19
Golden TN, Mani S, Linn RL et al. · Journal of extracellular vesicles 2025 · PMID 40205960 · doi:10.1002/jev2.70051
This dataset
Open GSE268230 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 GSE268230_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 PRJNA1115213 and SRA study SRP509524. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40205960) ↗
Study design
17 conditions, mostly with about 10 replicates each
large extracellular vesicle, recovered 1st tr… ×10 large extracellular vesicle, recovered 2nd tr… ×10 large extracellular vesicle, recovered 3rd tr… ×10 large extracellular vesicle, active infection… ×10 small extracellular vesicle, recovered 1st tr… ×10 small extracellular vesicle, recovered 2nd tr… ×10 small extracellular vesicle, recovered 3rd tr… ×10 small extracellular vesicle, active infection… ×10 +9 more

Supports a between-group comparison across 129 samples.

How we read this: 17 replicated groups read from 129 sample titles; they account for 129 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

+ 89 more — browse all 129 samples with per-sample file links →

Datasets on a similar topic

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