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Clinical and Molecular differences of hypertensive disorders during pregnancy

GSE303463 Homo sapiens (human) RNA-seq (gene expression) 168 samples Submitted 2026/01/14 Platform GPL34281Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 168 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
168 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.
Paper
Clinical and Molecular Differences of Hypertensive Disorders During PregnancyArteriosclerosis, thrombosis, and vascular biology · 2026
Summary (written by the submitters)
Background: Hypertensive disorders of pregnancy (HDP) comprise a spectrum of four subtypes: chronic hypertension (cHTN), gestational hypertension (gHTN), preeclampsia (PE), and superimposed preeclampsia (siPE). Although often characterized as a spectrum of disease severity, there have been limited comparative studies of detailed clinical and molecular characteristics of these disorders.
Read the full summary ↓
We hereby evaluate HDP subtypes using clinical, placental histopathological and molecular data to compare the similarities and differences between HDP subtypes. Methods: We utilize data from over 10-year-long pregnancy cohort with detailed clinical and placental pathology, as well as placental tissue RNA-sequencing. Clinical diagnosis was based on current ACOG criteria, and placental gross and histologic examination was based on the Amsterdam consensus statement. Results: Clinical data analysis showed cHTN and gHTN to be more likely to have normal placental pathology, while PE and siPE were more enriched in maternal vascular malperfusion (MVM). RNA-seq showed distinct gene expression signatures and pathway activation across our HDP subgroups. We could not identify any molecular evidence that preeclampsia (PE or siPE) was an advanced stage of hypertensive disorder (gHTN or cHTN), but rather identified distinct gene expression profiles between these entities, suggesting preeclampsia (PE or siPE) and hypertension (gHTN or cHTN) are distinct pathophysiological conditions. Finally, we found that, in the presence of MVM, siPE and PE share significant gene expression profiles and pathway activation. Conclusion: Our findings suggest that MVM specifically differentiates pregnancies that progress to PE and siPE. MVM is thought to initiate in early gestation, indicating the cascade to PE/siPE maybe differentiated from gHTN/cHTN early in pregnancy. Incorporating placental evaluation into patient care is essential, in order to probe the etiology of HDP.
Published in
Clinical and Molecular Differences of Hypertensive Disorders During Pregnancy
Horii M, Morey R, Chousal JN et al. · Arteriosclerosis, thrombosis, and vascular biology 2026 · PMID 41467353 · doi:10.1161/ATVBAHA.125.323457
This dataset
Open GSE303463 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 GSE303463_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 PRJNA1295470 and SRA study SRP603101. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41467353) ↗
Study design
A cohort of 168 individual samples

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

How we read this: Sample titles run P1094 … P3318 and carry no group information.

Samples in this study

+ 128 more — browse all 168 samples with per-sample file links →

Datasets on a similar topic

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