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Resf1 is required for normal placental development and configuration of trophoblast cell-specific heterochromatin [scRNA-Seq]

GSE332968 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2026/05/22 Platform GPL34328
At a glance

Single-cell RNA-seq · mouse · 2 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
2 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)
Resf1 (Retroelement silencing factor 1) is involved in retroelement silencing cooperated with H3K9 methyltransferase SETDB1 by regulating H3K9 methylation in mouse embryonic stem cells (mESCs). However, it remains unknown whether Resf1 functions in retroelement silencing in vivo, and has a role in development. To address this question, we established Resf1-deficient mice.
Read the full summary ↓
The Resf1-deficient mice show developmental delay, partial embryonic lethality, and placental abnormalities. Remarkably, retroelements are also upregulated in the Resf1-deficient placenta, and this upregulation of retroelements correlates with elevated expression of nearby genes. Additionally, to determine whether Resf1 functions within the trophoblast lineage—given the heterogeneous cellular composition of the placenta—we established Resf1-deficient trophoblast stem cell (TSC) lines. Both undifferentiated TSCs and differentiated TSCs (D-TSCs) display increased retroelement expression along with elevated levels of genes associated with placental development. Furthermore, Resf1-deficient TSCs exhibit compromised maintenance of H3K9me3 domains, leading to instability. In summary, our findings illuminate Resf1's multifaceted roles beyond retroelement silencing, uncovering its significance in developmental processes and its intricate involvement in trophoblast lineage regulation.
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 GSE332968_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 PRJNA1469556 and SRA study SRP703046. Searching any of these in the dataset finder brings you back here.

Samples in this study

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