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Remodeling the step-wise mouse placental development by using totipotent blastomere-like stem cells [RNA-seq]

GSE251982 Mus musculus (mouse) Single-cell RNA-seq 20 samples Submitted 2025/01/01 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 20 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
Mus musculus (mouse)
Samples
20 samples
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)
During development, totipotent blastomeres initiate the first cell fate decision to generate inner cell mass and trophectoderm. The trophectoderm forms the placenta mediating fetal-maternal communications, while placental deficiencies cause infertility and pregnancy disorders in humans. However, in vitro systems remodeling the step-wise placental development, particularly encompassing the pre-implantation phase, are still unavailable.
Read the full summary ↓
Here, using mouse totipotent blastomere-like cells (TBLCs), we successfully realize inducing and long-term maintaining trophectoderm-like stem cells (TELSCs), and further generating placental trophoblast organoids. Interestingly, an intermediate morula trophectoderm-like cells (TELCs) were transiently induced from TBLCs, and quickly converted into TELSCs assembling blastocyst trophectoderm. In 3D culturing condition, TELSCs can form rosette-like structures at peri-implantation period, to eventually generate trophoblast organoids, in which trophoblast progenitors/giant cells, spongiotrophoblasts and syncytiotrophoblasts were all identified at the single-cell level. Transcriptomic and epigenomic analyses enable tracing the step-by-step transition from TBLCs to mature trophoblast lineages. Thus, this study provides a comprehensive differentiation system to understand and investigate placental development.
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 GSE251982_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 PRJNA1057067 and SRA study SRP480093. Searching any of these in the dataset finder brings you back here.

Samples in this study

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