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In vitro reconstitution of epigenetic reprogramming in the human germ line [RNA-Seq]

GSE232076 Homo sapiens (human) RNA-seq (gene expression) 89 samples Submitted 2024/04/24 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 89 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
89 samples: 89 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
In vitro reconstitution of epigenetic reprogramming in the human germ lineNature · 2024
Summary (written by the submitters)
Epigenetic reprogramming resets parental epigenetic memories and differentiates primordial germ cells (PGCs) into mitotic pro-spermatogonia or oogonia, ensuring sexually dimorphic germ-cell development for totipotency. However, the mechanism of epigenetic reprogramming in humans remains unknown. Here, we establish a robust strategy for inducing epigenetic reprogramming and differentiation of pluripotent stem cell (PSC)-derived human PGC-like cells (hPGCLCs) into mitotic pro-spermatogonia or oogonia, coupled with their extensive amplification (~>10(10)-fold).
Read the full summary ↓
Strikingly, bone morphogenetic protein (BMP) signaling is the key driver of these processes. Mechanistically, BMP signaling attenuates the mitogen-activated protein kinase/extracellular-regulated kinase (MAPK/ERK) pathway and both de novo and maintenance DNA methyltransferase (DNMT) activities, promoting replication-coupled, passive DNA demethylation. On the other hand, tens-eleven translocation (TET) 1, an active DNA demethylase abundant in human germ cells, plays a dual role in hPGCLC differentiation: safeguarding hPGCLCs against differentiation into amnion-like cells by repressing key genes with bivalent promoters, and facilitating coordinated activation of genes vital for spermatogenesis and oogenesis by demethylating their promoters. Our study uncovers the principle of epigenetic reprogramming in humans, making a fundamental advance in human biology, and through the generation of abundant mitotic pro-spermatogonia and oogonia-like cells, represents a milestone for human in vitro gametogenesis (IVG) research and its potential translation into reproductive medicine.
Published in
In vitro reconstitution of epigenetic reprogramming in the human germ line
Murase Y, Yokogawa R, Yabuta Y et al. · Nature 2024 · PMID 38768632 · doi:10.1038/s41586-024-07526-6
This dataset
Open GSE232076 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE232076_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA970757 and SRA study SRP436690. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38768632) ↗
Study design
89 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 89 sample titles: 89 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

+ 49 more — browse all 89 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.