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Transcriptomic profiling of human trophoblast stem cells (hTSCs) and HTR-8/SVneo cells under normal and MYBL2 knockdown conditions

GSE293321 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/04/07 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 3 × hTSCs-shNC vs 3 × hTSCs-shMYBL2 vs 3 × HTR8-shNC vs 3 × HTR8-shMYBL2Groups 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
Dysregulation of MYBL2 impairs extravillous trophoblast lineage development and function, contributing to recurrent spontaneous abortionProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
This dataset comprises the gene expression profiles of human trophoblast stem cells (hTSCs) and HTR-8/SVneo cells under WT and MYBL2 knockdown conditions. RNA sequencing (RNA-seq) was conducted to examine the effects of MYBL2 depletion on gene expression, with the goal of elucidating its role in trophoblast function, including stemness maintenance, differentiation, and invasion. This dataset offers valuable insights into the molecular mechanisms governed by MYBL2 in trophoblast biology and its potential relevance to pregnancy-related disorders.
Published in
Dysregulation of MYBL2 impairs extravillous trophoblast lineage development and function, contributing to recurrent spontaneous abortion
Wu ZH, Yi C, Chen EX et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40294258 · doi:10.1073/pnas.2421653122
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 GSE293321_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 PRJNA1244012 and SRA study SRP575147. Searching any of these in the dataset finder brings you back here.

Study design
3 × hTSCs-shNC vs 3 × hTSCs-shMYBL2 vs 3 × HTR8-shNC vs 3 × HTR8-shMYBL2

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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