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Expression data of E13.5 placenta from intra-cytoplasmic sperm injection(ICSI)-F2 offspring

GSE300655 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/04/21 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 2 × control_37B vs 2 × ICSI_F2_63A vs 2 × control_63FGroups 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
Mouse ICSI impairs fertility of male offspring by disruption of fetomaternal toleranceDevelopment (Cambridge, England) · 2026
Summary (written by the submitters)
Various behavioural abnormalities and congenital anomalies were observed in the F2 offspring of ICSI (Kanatsu-Shinohara et al., 2023, J. Clin.). Invest. 133(22): e170140). The data presented here aim to clarify the cause of these abnormalities. Gene expression in the ICSI-F2 placenta was investigated using RNA sequencing (RNA-seq). ICSI was performed using C57BL/6 epididymal sperm and oocytes. Male ICSI-F2 offspring was mated with wild-type C57BL/6 female, and placentae recovered from pregnant females at E13.5 were examined for gene expression. Each group contains five biological replicates.
Published in
Mouse ICSI impairs fertility of male offspring by disruption of fetomaternal tolerance
Kanatsu-Shinohara M, Shiromoto Y, Ogonuki N et al. · Development (Cambridge, England) 2026 · PMID 42095840 · doi:10.1242/dev.205500
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 GSE300655_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 PRJNA1281613 and SRA study SRP594329. Searching any of these in the dataset finder brings you back here.

Study design
2 × control_37B vs 2 × ICSI_F2_63A vs 2 × control_63F

Supports a between-group comparison across 6 samples.

How we read this: 3 replicated groups read from 10 sample titles; they account for 6 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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