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Time-Course Analysis of Hepatic Single-Nuclei RNA-Sequencing in Mice Treated with 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD)

GSE254121 Mus musculus (mouse) Single-nucleus RNA-seq 42 samples Submitted 2024/08/20 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 42 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
42 samples: 42 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.
Paper
Cell-specific AHR-driven differential gene expression in the mouse liver cell following acute TCDD exposureBMC genomics · 2024
Summary (written by the submitters)
2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a persistent environmental contaminant that disrupts normal hepatic function. This disruption leads to the development and progression of non-alcoholic fatty liver disease (NAFLD) pathologies, including steatosis, steatohepatitis, and fibrosis. TCDD exerts hepatotoxic effects through activation of the aryl hydrocarbon receptor (AHR) eliciting transcriptional changes.
Read the full summary ↓
Although diverse liver cell types contribute to TCDD-induced hepatotoxicity, cell-specific transcriptional changes in response to acute TCDD exposure remain unclear. The objective of this project was to elucidate the cell-specific outcomes of AHR activation following acute TCDD exposure. We conducted liver single-nuclei RNA-sequencing from male C57BL/6 mice administered 30 μg/kg of TCDD or sesame oil and sacrificed at 2, 4, 8, 12, 18, 24, or 72 hours post-oral gavage. Leiden clustering and annotation identified 10 major liver cell types, and 2 macrophage and 8 endothelial cell (EC) subtypes. While most cell types maintained their relative abundance, neutrophils exhibited an increase at 72 hours in response to TCDD. Hepatocytes, ECs, and hepatic stellate cells (HSCs) were the only cell types with cell-specific gene expression changes with known AHR binding sites (1,550, 102, and 40, respectively). Functional enrichment analysis in response to TCDD revealed disruptions in the metabolism of steroids, primary bile acids, vitamins, retinols, and glutathione in addition to one-carbon metabolism. EC differential gene expression was associated with PI3-AKT signaling, as well as protein processing and transport pathways. HSCs were enriched in protein processing, ABC transporters, and the dysregulation of tryptophan and linoleic acid metabolism. Altogether, these results suggest that early responses to TCDD trigger cell-specific changes in gene expression in the liver, contributing to hepatotoxicity and the emergence of hepatic pathologies related to NAFLD.
Published in
Cell-specific AHR-driven differential gene expression in the mouse liver cell following acute TCDD exposure
Cholico GN, Nault R, Zacharewski T · BMC genomics 2024 · PMID 39198768 · doi:10.1186/s12864-024-10730-3
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 GSE254121_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: 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 PRJNA1068597 and SRA study SRP485776. Searching any of these in the dataset finder brings you back here.

Study design
42 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 42 sample titles: 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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