← BioTransfer GEO Dataset Finder
GEO series

The Aryl Hydrocarbon Receptor Directs the Differentiation of Progenitor Blastomeres

GSE196340 Mus musculus (mouse) Single-cell RNA-seq 336 samples Submitted 2025/02/07 Platform GPL15103
At a glance

Single-cell RNA-seq · mouse · 336 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
336 samples: 336 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)
Key regulatory decisions during cleavage divisions in mammalian embryogenesis determine the fate of preimplantation embryonic cells. Single-cell RNA-sequencing of early stage—2-cell, 4-cell, and 8-cell—blastomeres show that the aryl hydrocarbon receptor (AHR), traditionally considered as an environmental sensor, directs the segregation of 4-cell blastomeres.
Read the full summary ↓
Disruption of endogenous AHR functions in Ahr knockout embryos or in embryos from dams exposed to dioxin, the prototypic xenobiotic AHR agonist, significantly impairs blastocyst formation by causing repression of OCT4 expression, decline of CDX2 expression, loss of OCT4 and CDX2 transcriptional heterogeneity, and incidence of nonspecific pluripotency downregulation. Trajectory and gene variability analyses further confirm that deregulation of OCT4 functions and changes of transcriptional heterogeneity resulting from disruption of AHR functions restrict the emergence of differentiating blastomeres within these embryos. It appears that AHR governs the differentiation of progenitor blastomeres and that interference with AHR functions significantly perturbs embryogenesis.
This dataset
Open GSE196340 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 GSE196340_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA804478 and SRA study SRP358888. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
336 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 111 samples read as cases, 112 as controls.

How we read this: Read from 336 sample titles: 336 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

+ 296 more — browse all 336 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.