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Fetal Sex Does Not Influence Rates of Gastrulation-Stage Alcohol-Induced Craniofacial Malformations in C57BL/6J Mice

GSE239355 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/03/19 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
12 samples: 7 × E7_embryo_male_WT vs 5 × E7_embryo_female_WTGroups 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
Gastrulation-stage alcohol exposure induces similar rates of craniofacial malformations in male and female C57BL/6J miceBirth defects research · 2024
Summary (written by the submitters)
Prenatal alcohol exposure during mouse gastrulation (embryonic day [E] 7 in mice, corresponding to ~3rd week of human pregnancy) impairs eye, facial, and cortical development, recapitulating birth defects characteristic of Fetal Alcohol Syndrome (FAS). However, the impact of sex on the prevalence or severity of craniofacial features associated with FAS is currently unknown.
Read the full summary ↓
The current study administered either alcohol (2.9g/kg, two i.p. doses, four hours apart) or vehicle control to pregnant C57BL/6J females on E7 and assessed fetal morphology at E17. Whereas sex did not affect fetal size in vehicle-treated litters, alcohol-exposed females were smaller than both control females and alcohol-treated males. Alcohol exposure increased the incidence of eye defects to a similar degree in males and females. Together, this suggests that females might be more sensitive to the general developmental effects of alcohol, but not to the effects of alcohol specifically on the craniofacies. We also established a developmental transcriptional baseline via whole transcriptomic analysis of untreated E7 embryos, and found 214 differentially expressed genes in females vs. males, including those in pathways related to cilia and mitochondria structure and function, histone demethylase activity, and pluripotency.
Published in
Gastrulation-stage alcohol exposure induces similar rates of craniofacial malformations in male and female C57BL/6J mice
Boschen KE, Dragicevich CJ, Fish EW et al. · Birth defects research 2024 · PMID 38116840 · doi:10.1002/bdr2.2292
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 GSE239355_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 PRJNA998893 and SRA study SRP451601. Searching any of these in the dataset finder brings you back here.

Study design
7 × E7_embryo_male_WT vs 5 × E7_embryo_female_WT

Supports a between-group comparison across 12 samples.

How we read this: 2 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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