← BioTransfer GEO Dataset Finder
GEO series

Circadian Disruption Triggers Trophoblast Differentiation Failure via CLOCK-Dependent Chromatin Instability

GSE300156 Homo sapiens (human) Single-cell RNA-seq 8 samples Submitted 2026/06/18 Platform GPL16791
At a glance

Single-cell RNA-seq · human · 8 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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
8 samples: 4 × CON vs 4 × KDGroups 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)
Preeclampsia (PE), a life-threatening hypertensive disorder of pregnancy, lacks effective therapies due to poorly understood pathogenesis. While maternal sleep disturbances are epidemiologically linked to PE, the molecular mechanisms remain elusive. Here, we identify the circadian regulator CLOCK as a master epigenetic stabilizer critical for placental development, whose dysfunction drives PE pathogenesis.
Read the full summary ↓
Through multi-omics analyses of human PE placentae and mechanistic studies in murine models, we demonstrate that maternal sleep deprivation downregulates placental CLOCK, recapitulating PE phenotypes, and CLOCK deficiency triggers global chromatin decompression, suppresses WNT/β-catenin signaling, and arrests trophoblast differentiation. Mechanistically, CLOCK interacts with heterochromatin proteins HP1α and H1.0 to maintain nucleosome stability, while its loss increases chromatin accessibility and suppresses WNT/β-catenin signaling. Single-cell RNA-seq reveals CLOCK’s selective expression at the onset of differentiation, where its absence locks cells in a stem-like state. Crucially, WNT activation, stabilization of chromatin and melatonin rescues growth defects in CLOCK-deficient trophoblasts, highlighting actionable therapeutic strategies. Our findings establish a unifying mechanism for PE, linking maternal sleep disturbances, placental epigenetic instability, and impaired differentiation. These findings not only advance PE management but also illuminate a universal mechanism by which circadian regulators safeguard chromatin stability across developmental and disease contexts.
This dataset
Open GSE300156 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 GSE300156_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 PRJNA1279141 and SRA study SRP593020. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × CON vs 4 × KD

Supports a between-group comparison across 8 samples.

How we read this: 2 replicated groups read from 8 sample titles; they account for 8 of them. 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.