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Regenerative trophoblast models are largely in concordance with trophoblasts from peri-implantation human embryos while maintaining subtle differences

GSE232526 Homo sapiens (human) RNA-seq (gene expression) 41 samples Submitted 2024/08/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 41 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
41 samples: 41 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
Transcriptome comparisons of trophoblasts from regenerative cell models with peri-implantation human embryos†Biology of reproduction · 2024
Summary (written by the submitters)
The mechanisms controlling trophoblast proliferation and differentiation during embryo implantation are fundamentally important in defining a successful pregnancy, yet poorly understood. Human trophoblast stem cells (TSC) and BMP4/A83-01/PD17034-treated pluripotent stem cell derived trophoblast cells (BAP) are two widely employed, contemporary models to study trophoblast development and function but how faithfully they mimic the identity of early stage trophoblast cells has not been fully examined.
Read the full summary ↓
Here, we evaluate the transcriptomic profiles of trophoblast cells from these two widely used cell models and directly compare them with trophoblast cells from peri-implantation stage human embryos during extended embryo culture (EEC) between embryonic d 8 to d 12. Cells from BAP and TSC models all grouped closely with trophoblast cells from EEC, with the trophoblast sublineages, including cytotrophoblast (CTB), syncytiotrophoblast (STB), and extravillous-like migratory trophoblast (MTB), clustered together following dimensional analysis and unsupervised hierarchical clustering. However, subtle differences amongst models exist for each trophoblast sublineages. TSC-CTB is more similar to EEC-CTB from d 8 embryos with transcripts associated with increased Wnt signaling activities important for trophoblast stemness. BAP-CTB are more similar to EEC-CTB from d 10 and 12 embryos and upregulate transcripts important for trophoblast differentiation and invasion. For STB, EEC-STB showed enriched GO terms related to oxygen-dependent metabolism, while BAP and TSC-derived STB both prioritize lipid and membrane synthesis as well as actin reorganization and cell spreading. EEC-MTB transcripts indicate an increased level of invasiveness and motility compared to TSC-MTB with increased proliferative capacity. We also provide a pool of novel lineage markers in early trophoblast that were upregulated (>4-fold) across all three models and validate the presence of 11 proteins prominent in peri-implantation human embryos. Together, our comprehensive analysis revealed that both commonly used BAP and TSC models resemble features of peri-implantation trophoblasts, while still maintaining subtle transcriptomic differences in sublineages.
Published in
Transcriptome comparisons of trophoblasts from regenerative cell models with peri-implantation human embryos†
Logsdon DM, Ming H, Ezashi T et al. · Biology of reproduction 2024 · PMID 39109839 · doi:10.1093/biolre/ioae120
This dataset
Open GSE232526 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 GSE232526_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 PRJNA972666 and SRA study SRP437702. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39109839) ↗
Study design
41 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 41 sample titles: 41 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

+ 1 more — browse all 41 samples with per-sample file links →

Datasets on a similar topic

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