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Chromosomal instability in human trophoblast stem cells and placenta

GSE280832 Homo sapiens (human) Single-cell RNA-seq 26 samples Submitted 2025/03/31 Platform GPL28038
At a glance

Single-cell RNA-seq · human · 26 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
26 samples: 7 conditions, mostly with about 4 replicates eachGroups 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
Chromosomal instability in human trophoblast stem cells and placentasNature communications · 2025
Summary (written by the submitters)
The human placenta, a unique tumor-like organ, is typically thought to exhibit rare aneuploidy associated with adverse pregnancy outcomes. Discrepancies in reported aneuploidy prevalence in placenta likely stem from limitations in modeling and the resolution of detection methods. Here, we used isogenic trophoblast stem cells (TSCs) derived from both naïve and primed human pluripotent stem cells (hPSCs) to reveal the spontaneous occurrence of aneuploidy, suggesting chromosomal instability (CIN) as an inherent feature of the trophoblast lineage.
Read the full summary ↓
We identified potential pathways contributing to the occurrence and tolerance of CIN. These findings were further validated using single-cell multiome data from healthy human placentas, where we observed a high prevalence of heterogeneous aneuploidy across trophoblast cells. Despite extensive chromosomal abnormalities, TSCs maintained their proliferative and differentiation capacities, suggesting that CIN is a typical aspect of placental development. Our study challenges the traditional view of aneuploidy in the placenta and provides new insights into the role of CIN in normal placental function.
Published in
Chromosomal instability in human trophoblast stem cells and placentas
Wang D, Cearlock A, Lane K et al. · Nature communications 2025 · PMID 40280964 · doi:10.1038/s41467-025-59245-9
This dataset
Open GSE280832 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 GSE280832_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 PRJNA1180642 and SRA study SRP542496. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40280964) ↗
Study design
7 conditions, mostly with about 4 replicates each
nTSC ×4 nbTSC ×4 ccTSC ×4 pdTSC ×4 BAP ×4 RUES2 ×3 nRUES2 ×3

Supports a between-group comparison across 26 samples.

How we read this: 7 replicated groups read from 26 sample titles; they account for 26 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
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