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Multi-omics of chorionic villus samples reveals early pregnancy placental dysfunction associated with preeclampsia

GSE295760 Homo sapiens (human) Non-coding RNA profiling 38 samples Submitted 2026/06/09 Platform GPL24676
At a glance

Non-coding RNA profiling · human · 38 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
38 samples: 22 distinct titles, 2 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.
Paper
Multi-Omics Reveals Early Pregnancy Placental Dysfunction Associated With Preterm and Term PreeclampsiaMedComm · 2026
Summary (written by the submitters)
Preeclampsia is a serious pregnancy-induced disorder unique to humans affecting 4.6% of pregnancies worldwide. Advances in the detection, prevention and treatment of preeclampsia have been poor due to our inadequate understanding of its pathogenesis. Here, we perform a multiomics study on early pregnancy placental biopsies (chorionic villus samples) from pregnancies that developed preterm and term preeclampsia compared to normotensive controls.
Read the full summary ↓
Using an integrative multivariate approach, we uncovered distinct molecular signatures: preterm preeclampsia was strongly associated with dysregulated lipoprotein metabolism, while term preeclampsia exhibited alterations in inflammatory pathways, notch signaling and ribosome assembly. These results challenge the prevailing notion that term preeclampsia is unrelated to early placental pregnancy dysfunction. Our study provides critical insights into the early pregnancy aberrations underlying both preterm and term preeclampsia, paving the way for novel predictive biomarker and targeted preventative treatments. This work represents a significant step towards unravelling the complex etiology of preeclampsia and improving maternal and perinatal health outcomes.
Published in
Multi-Omics Reveals Early Pregnancy Placental Dysfunction Associated With Preterm and Term Preeclampsia
Menkhorst E, Yang G, Yu Y et al. · MedComm 2026 · PMID 42253923 · doi:10.1002/mco2.70784
This dataset
Open GSE295760 in finder → Find more human 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 GSE295760_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 ↗

Also filed as BioProject PRJNA1256310 and SRA study SRP581727. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42253923) ↗
Study design
22 distinct titles, 2 of them repeated
Placenta, CVS 11-13 weeks gestation, C ×12 Placenta, CVS 11-13 weeks gestation, D ×6

How we read this: Read from 38 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
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