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Tumor suppresson protein p53 governs human trophoblast lineage development II

GSE277759 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2025/09/22 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
24 samples: 12 conditions, mostly in duplicateGroups 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
Tumor suppressor protein p53 governs human trophoblast lineage developmentCell reports · 2025
Summary (written by the submitters)
In addition to being a potent tumor suppressor, the p53 protein (encoded by Trp53 in mouse and TP53 in human) has important functions in embryo development and stem cells. The Trp53-null mice exhibit developmental defects whereas p53 activation causes implantation failure. However, it remains unclear how p53 affects early embryonic cell lineage development.
Read the full summary ↓
We report here that p53 is highly expressed in the trophectoderm (TE) of the blastocyst and that blocking p53 activities arrests preimplantation embryo development. We have subsequently investigated p53 using human pluripotent stem cells (hPSCs) in the generation of human trophoblast stem cells (hTSCs). Genetic ablation of TP53 or chemical inhibition of p53 activities hinders the generation of hTSCs while enhancing the generation of amniotic cells. Furthermore, p53 deficiency in hTSCs results in epigenetic dysregulation of the trophoblast regulatory network involving the generation of mature syncytiotrophoblasts (STBs). In contrast, the generation and invasiveness of extravillous trophoblasts (EVTs) is enhanced. Single-cell transcriptomics analysis and experimental investigation further revealed the importance of p53 functions at multiple stages of human trophoblast development and identify that p53-mediated cell-cycle state determines trophoblast cell fate propensity. These findings for the first time demonstrate the important functions of p53 in human early embryonic cell lineage development and implicate possible links between the role of p53 in early development and tumor suppression.
Published in
Tumor suppressor protein p53 governs human trophoblast lineage development
Huang Y, Xu L, Fu H et al. · Cell reports 2025 · PMID 40971294 · doi:10.1016/j.celrep.2025.116310
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 GSE277759_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1163894 and SRA study SRP534076. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in duplicate
WT, Input ×2 KO, Input ×2 WT, p53, ChIP, ×2 KO, p53, ChIP, ×2 WT, H3K27ac, ChIP, ×2 KO, H3K27ac, ChIP, ×2 WT, H3K4me3, ChIP, ×2 KO, H3K4me3, ChIP, ×2 +4 more

Supports a between-group comparison across 24 samples.

How we read this: 12 replicated groups read from 24 sample titles; they account for 24 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
Datasets on a similar topic

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