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Trophoblast stem cell derivation from naive and primed hPSC enables ELF5 functional analysis (scRNAseq)

GSE281595 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2025/09/15 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
12 samples: 12 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
Trophoblast stem cell derivation from naive and primed hPSC enables ELF5 functional analysisStem cell reports · 2025
Summary (written by the submitters)
Human pluripotent stem cells (hPSCs) are valuable tools for studying placental biology, yet their differentiation into bona fide trophoblast stem cells (TSCs) remains challenging. In this study, we established and thoroughly compared naive and primed-derived TSC-like cells with primary human TSCs derived from pre-implantation blastocyst and first-trimester placenta.
Read the full summary ↓
Comprehensive analyses confirmed expression of trophoblast lineage-specific genes and typical placental features. Detailed transcriptional analyses revealed that naive-derived TSC-like cells resembled embryo and placenta-derived cell lines and differentiated faster and more directly into TSC than primed-derived cells. We used these TSC-like models to study the role of ELF5, a transcription factor indispensable for maintenance and differentiation in mouse TSC. In contrast to the mouse, knockout and knockdown experiments revealed that ELF5 is dispensable for human TSC-like cells self-renewal and differentiation. Our study provides valuable transcriptional data and highlights the utility of hPSC-derived TSC-like cells for modeling the placenta and studying gene function.
Published in
Trophoblast stem cell derivation from naive and primed hPSC enables ELF5 functional analysis
Sokka J, Lapinsuo E, Kvist J et al. · Stem cell reports 2025 · PMID 40939596 · doi:10.1016/j.stemcr.2025.102637
This dataset
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.

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 GSE281595_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1184766 and SRA study SRP544501. Searching any of these in the dataset finder brings you back here.

Study design
12 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 12 sample titles: 12 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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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.