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Epigenetic changes regulating the epithelial-mesenchymal transition in human trophoblast differentiation

GSE256412 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2024/07/03 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples: 22 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
Epigenetic changes regulating the epithelial-mesenchymal transition in human trophoblast differentiationbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
The phenotype of term, human placental extravillous trophoblast (EVT) reflects both the first trimester differentiation from villous cytotrophoblast (CTB) and later gestational changes, including the loss of proliferative and invasive capacity. Invasion abnormalities, as observed in preeclampsia and placenta accreta spectrum, are not usually diagnosed until the second or even third trimester of pregnancy.
Read the full summary ↓
Characterization of the normal processes at term, including arrest of invasion is therefore crucial. In this report gene expression analysis demonstrates definitively the epithelial-mesenchymal transition (EMT) mechanism which underlies differentiation and provides a trophoblast-specific EMT signature. Methylation profiling shows that CTB, already hypomethylated relative to other somatic cells, show a further degree of hypomethylation in their transition to EVT. A small fraction of genes show both gain of methylation and changes in gene expression. Prominent are genes involved in the EMT such as the transcription factor RUNX1, loss of which leads to reduced migratory capacity in JEG3 trophoblast cells. Examination of these EMT genes leads us to suggest that the gains of methylation may assist in maintaining term EVT in a mesenchymal but non-invasive state.
Published in
Epigenetic changes regulating the epithelial-mesenchymal transition in human trophoblast differentiation
Ackerman WE 4th, Rigo MM, DaSilva-Arnold SC et al. · bioRxiv : the preprint server for biology 2024 · PMID 39005325 · doi:10.1101/2024.07.02.601748
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 GSE256412_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: 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 PRJNA1079368 and SRA study SRP491130. Searching any of these in the dataset finder brings you back here.

Study design
22 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 22 sample titles: 22 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
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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.