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Elevated zygotic let-7f-5p alters developmental trajectories and sex-specific somatic growth [Placenta]

GSE314710 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/05/26 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 18 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
Mus musculus (mouse)
Samples
18 samples: 18 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.
Summary (written by the submitters)
Paternal preconception experiences shape offspring development and longitudinal health outcomes, including disease risk. Small non-coding RNA (sncRNA) are potential causal agents in the germline transmission of paternal exposures at conception. In a previous repeated sampling human cohort, we identified that sperm microRNA (miRNA), let-7f-5p (let-7f), was significantly increased in response to elevated prior perceived stress.
Read the full summary ↓
To understand the potential role of sperm let-7f in the transmission of stress and its impact on development, we investigated outcomes produced by increasing zygote levels of this miRNA. We found alterations in gene expression at the blastocyst stage and at mid-gestation following zygotic microinjections. These changes were male-specific, and functional enrichment analyses revealed significant shifts in cellular developmental processes, metabolic functioning, neurodevelopment, and bone development. These sex-specific developmental differences persisted until adulthood, with let-7f males having greater somatic growth. Together, our findings demonstrate a clear role for sperm let-7f in shaping offspring trajectory.
This dataset
Open GSE314710 in finder → Find more mouse 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 GSE314710_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 PRJNA1392478 and SRA study SRP657294. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
18 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 18 sample titles: 18 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
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.