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Impaired cell interactions at the pre-eclamptic maternal-fetal interface

GSE183338 Homo sapiens (human) Single-nucleus RNA-seq 22 samples Submitted 2025/03/31 Platform GPL20301
At a glance

Single-nucleus RNA-seq · human · 22 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
Homo sapiens (human)
Samples
22 samples: 22 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.
Paper
Senescent Syncytiotrophoblast Secretion During Early Onset PreeclampsiaHypertension (Dallas, Tex. : 1979) · 2025
Summary (written by the submitters)
Hypertensive disorders in pregnancy, of which the multisystem pathology pre-eclampsia is most severe, often lead to preterm delivery, maternal mortality and life-long complications. Pre-eclampsia lacks early screening tools and causal therapies, illustrating the urgent need for a better understanding of early disease dynamics.
Read the full summary ↓
Here, we present the first study comparing single-nuclei transcriptomes of human diseased preterm preeclamptic placentae and healthy controls, embedding the characterization of the maternal-fetal barrier dysfunction in the context of a comprehensive spatio-temporal study including early and late gestational placentae. Our results highlight and contextualize a perturbed communication from fetal to maternal side during the development of pre-eclampsia starting with a dysregulated trophoblast stem-cell maturation. We provide new targets for potential early disease prevention in order to protect mother and child from increased gestational mortality and morbidity but also from life-long increased cardiovascular disease risk.
Published in
Senescent Syncytiotrophoblast Secretion During Early Onset Preeclampsia
Nonn O, Debnath O, Valdes DS et al. · Hypertension (Dallas, Tex. : 1979) 2025 · PMID 39440423 · doi:10.1161/HYPERTENSIONAHA.124.23362
This dataset
Open GSE183338 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 GSE183338_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: 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 PRJNA760314. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39440423) ↗
Study design
22 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 22 sample titles: 22 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

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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.