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Nicotinamide counteracts endothelin-1’s detrimental effect on uterine decidualization during early pregnancy by influencing EDNRB

GSE306844 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2025/12/04 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 15 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
Nicotinamide Counteracts the Detrimental Effect of Endothelin-1 on Uterine Decidualization During Early Pregnancy by Influencing EDNRBCells · 2025
Summary (written by the submitters)
Endothelin-1 is involved in pathogenesis of preeclampsia. Mice (Edn1H/+) having excess endothelin-1developed preeclampsia-like phenotypes during pregnancy in a maternal genotype-dependent manner. Here, we investigate whether decidualization is impaired in Edn1H/+ dams, and whether nicotinamide (a potent inhibitor of endothelin-1) executes any beneficial effect.
Read the full summary ↓
We compared implantation sites between wild type (WT) and Edn1H/+ dams with or without nicotinamide treatment. Implantation sites of Edn1H/+ dams exhibited abnormal ectoplacental cone and sinusoids with reduced vascular density in mesometrial regions of deciduae. There was more VEGF expression in decidua of Edn1H/+ dams than WT dams. The markers of decidualization were decreased in Edn1H/+ dams. Nicotinamide corrected the abnormality in Edn1H/+ dams. During differentiation (decidualization) of cultured human endometrial stomal cells, endothelin-1 halved the upregulated expression of markers of decidualization. Nicotinamide normalizes their expression. Nicotinamide counteracts ET-1’s detrimental effects on endometrial decidualization. It has potential to improve embryo implantation and subsequent pregnancy outcomes.
Published in
Nicotinamide Counteracts the Detrimental Effect of Endothelin-1 on Uterine Decidualization During Early Pregnancy by Influencing EDNRB
Wang Y, Ma Q, Chen M et al. · Cells 2025 · PMID 41227291 · doi:10.3390/cells14211645
This dataset
Open GSE306844 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 GSE306844_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 PRJNA1312496 and SRA study SRP614690. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41227291) ↗
Study design
15 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 15 sample titles: 15 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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