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Single-Cell Sequencing Analysis of KLF5-Induced Multilineage Reprogramming in EpiSCs

GSE269422 Mus musculus (mouse) Single-cell RNA-seq 16 samples Submitted 2025/06/01 Platform GPL28330
At a glance

Single-cell RNA-seq · mouse · 16 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
16 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 early embryogenesis, Kruuppel-like factor KLF5 is expressed in inner cell mass (ICM), trophectoderm (TE), and primordial germ cell (PGC). It is wellknow to be essential for specifying the TE fate, as well as redundantly with KLF2/4 for specifying the ICM fate during the first fate segregation. Here, we aimed to clarify whether KLF5 regulates these three fates in vitro.
Read the full summary ↓
We firstly validated the necessity of KLF5 in mouse trophoblast stem cells (TSCs) and PGC-like cells. Mechanistically, we showed that KLF5 is deeply integrated into the transcriptional networks of ICM, TE and PGC in a context-dependent manner. Furthermore, KLF5 is almost the only factor capable of driving TSC fate from primed epiblast stem cells. It could also induce a transition from the primed to naive state just in the absence of WNT signaling. During this transition, KLF5 generates PGC-like cells, concomitantly. Taken together, our work supports KLF5 as a powerful and versatile specifier in both early embryonic lineage determination and in vitro cell fate reprogramming.
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 GSE269422_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 PRJNA1123589 and SRA study SRP513760. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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