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Spatially resolved maternal and fetal cell contributions to severe Preeclampsia

GSE319236 Homo sapiens (human) RNA-seq (gene expression) 152 samples Submitted 2026/06/11 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 152 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
152 samples: 140 distinct titles, 12 of them repeatedGroups 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 molecular and cellular pathophysiology of the maternal-fetal interface in preeclamsia remains poorly understood, but it is increasingly clear that both mother and fetus make independent contributions to it. Here, we spatially distinguish these contributions to the severe form of the disease, per tissue and cell type, in its Early and Late presentations in gestation.
Read the full summary ↓
In addition to concerted hypoxia, angiogenic imbalance, fibrosis and aberrant metabolism in the placenta, new maternal immune signatures, including changes in macrophages, mitochondrial dysfunction and interferon signalling in the placenta, myometrium or choreamniotic membranes, offer an explanation to systemic inflammation and endothelial dysfunction in the mother. These tissue and cell-specific responses are potential targets for therapy, with their prompt consideration in Early gestational disease likely most beneficial.
This dataset
Open GSE319236 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 GSE319236_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 PRJNA1422653 and SRA study SRP676562. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
140 distinct titles, 12 of them repeated
FVQ-PVBP ×2 FCM-PVBP ×2 FRH-PVBP ×2 FRK-PVBP ×2 FGS-PVBP ×2 FVQ-Myometrium-Spatial ×2 FCM-PVBP-Spatial ×2 FRH-PVBP-Spatial ×2 +4 more

How we read this: Read from 152 sample titles: 140 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

+ 112 more — browse all 152 samples with per-sample file links →

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.