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PPARG-centric transcriptional re-wiring during differentiation of human trophoblast stem cells into extravillous trophoblasts [RNA-seq]

GSE278375 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2025/06/24 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 32 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
32 samples: 16 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
PPARG-centric transcriptional re-wiring during differentiation of human trophoblast stem cells into extravillous trophoblastsNucleic acids research · 2025
Summary (written by the submitters)
Peroxisome Proliferator-Activated Receptor gamma (PPARG) is a nuclear receptor transcription factor critical for placental development. Using human trophoblast stem cells (TSCs) and their differentiation into extravillous trophoblasts (EVTs) as a model, we show that PPARG is required for both TSC self-renewal and EVT differentiation. ChIP-seq revealed that PPARG occupies distinct sets of regulatory elements in TSCs and EVTs, forming cell-type specific transcriptional networks.
Read the full summary ↓
Integration with other trophoblast-specific transcription factors suggests that PPARG participates in transcriptional re-wiring during EVT differentiation. Functionally, activation of PPARG promotes EVT invasion, suggesting a potential connection between PPARG signaling and placental pathologies such as placenta accreta. These findings highlight context-specific roles of PPARG in modulating gene expression and cell behavior during human trophoblast development.
Published in
PPARG-centric transcriptional re-wiring during differentiation of human trophoblast stem cells into extravillous trophoblasts
Guo Q, Choi J, Lee M et al. · Nucleic acids research 2025 · PMID 40705926 · doi:10.1093/nar/gkaf669
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 GSE278375_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 PRJNA1166892 and SRA study SRP535591. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly in duplicate
TSC_Ctrl_KD ×2 TSC_PPARG_KD ×2 EVTd3_T007_Ctrl ×2 EVTd3_T007_LGD ×2 EVTd3_T007 ×2 EVTd8_Ctrl_KD ×2 EVTd8_T007_Ctrl ×2 EVTd8_T007_LGD ×2 +8 more

Supports a between-group comparison across 32 samples.

How we read this: 16 replicated groups read from 32 sample titles; they account for 32 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
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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.