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Global Transcriptome analyses in METTL3_high and METTL3_Low Human Trophoblast Stem Cells from idiopathic recurrent pregnancy losses (RPLs)

GSE319502 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/05/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 9 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
9 samples: 6 × METTL3_high RPL-TSC vs 3 × METTL3_low RPL-TSCGroups 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.
Summary (written by the submitters)
We established RPL-Patient specific TSC lines from placental tissues collected after patients undergoing procedures at the REI clinic at the University of Kansas Medical Center. Two groups of RPL-TSC lines were established. A control RPL-TSC group, which were established from placental tissues without any apparent defect in placental ultra-structure and trophoblast layers and also maintained high expressions of Methyl Transferase-Like3 (METTL3) in villous cytotrophoblast cells (CTBs).
Read the full summary ↓
The second group is the experimental RPL-TSC group, which were established from RPL-Placentae with defects in placental villi structure and trophoblast layers and showed strong repression of PRMT1 expression in villous CTBs. The established RPL-TSCs were tested for PRMT1 expression. TSCs showed similar expression patterns of METTL3 with respect to CTBs, from which they were established. Thus, RPL-TSC lines with high expression of METTL3 are called METTL3_high RPL-TSCs and The experimental RPL TSCs are called METTL3_low RPL-TSCs. Six METTL3_high RPL TSC lines and three METTL3_low RPL-TSC lines were used for global RNA-sequencing to identify global gene expression patterns.
This dataset
Open GSE319502 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 GSE319502_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 PRJNA1423631 and SRA study SRP677026. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 × METTL3_high RPL-TSC vs 3 × METTL3_low RPL-TSC

Supports a between-group comparison across 9 samples.

How we read this: 2 replicated groups read from 9 sample titles; they account for 9 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
Datasets on a similar topic

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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.