GEO series

Maternal prenatal stress induces sex-dependent changes in tRNA fragment families and cholinergic pathways in newborns

GSE275149 Homo sapiens (human) RNA-seq (gene expression) 59 samples Submitted 2025/04/07 Platform GPL18573

At a glance

RNA-seq (gene expression) · human · 59 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: 59 samples
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: Maternal prenatal stress induces sex-dependent changes in tRNA fragment families and cholinergic pathways in newbornsMolecular psychiatry · 2025

Summary (written by the submitters)

Maternal perceived prenatal stress (PPS) is a known risk factor for diverse developmental impairments in newborns, but the underlying molecular processes are incompletely understood. Here, we report that PPS responses altered the birth profiles of blood transfer RNA fragments (tRFs), 16-50nt long non-random cleavage products of tRNAs in a sex-dependent manner.

Read the full summary ↓

Importantly, comparing stressed versus control maternal and umbilical cord blood serum presented alterations that were not limited to individual tRFs, but rather reflected selective enrichments in particular tRF families grouped by their mitochondrial or nuclear genome origin, parental tRNA coded amino acid, and cleavage type. Supporting a stress- and sex-specific effects, grouped tRF families revealed shared length and expression patterns which were strongest in the female newborns. Of those, several tRFs carried complementary motifs to specific cholinergic mRNAs, indicating possible translational regulation similar to microRNAs. Compatible with the cholinergic regulation of stress reactions, those "CholinotRFs" achieved an AUC of 95% when classifying female newborns according to maternal PPS. Moreover, we found altered catalytic activity of serum acetylcholinesterase, which was particularly elevated in male newborns, marking a second sex-specific effect. Our findings demonstrate an association of tRF families' patterns with newborns' sex-specific stress response to PPS and may lead to better diagnosis and therapeutic tools for these and other stressors.

Published in

Maternal prenatal stress induces sex-dependent changes in tRNA fragment families and cholinergic pathways in newborns

Vaknine Treidel S, Lobmaier SM, Sharma R et al. · Molecular psychiatry 2025 · PMID 40188313 · doi:10.1038/s41380-025-03011-2

This dataset

Open GSE275149 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 GSE275149_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 PRJNA1149692 and SRA study SRP527303. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40188313) ↗

Samples in this study

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+ 59 more — browse all 59 samples with per-sample file links →

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