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CYP2C29 Monooxygenase Promotes CDAA-HFD-Induced Liver Fibrosis

GSE311044 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2025/11/24 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples
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)
Cytochrome P450 (CYP) monooxygenases (predominately the CYP2C and CYP2J isoforms) catalyze the oxidative metabolism of polyunsaturated fatty acids to generate epoxy fatty acids (EpFAs) and fatty acid diols, which are bioactive lipid signaling molecules that regulate inflammation and other important biological processes. Animal and human studies suggest that this pathway is dysregulated in metabolic dysfunction-associated steatohepatitis (MASH) and related liver diseases; however, its functional role in disease development of MASH, especially liver fibrosis, remains poorly understood.
Read the full summary ↓
Here, we investigated the role of CYP2C29, the predominant CYP2C/2J isoform in mouse livers, in a choline-deficient, L-amino acid–defined, high-fat diet (CDAA-HFD)-induced liver fibrosis model. Compared with wild-type (WT) mice, CYP2C29 knockout (KO) mice exhibited reduced hepatic concentrations of CYP-derived EpFAs and fatty acid diols and attenuated development of liver fibrosis. Transcriptomic analysis further revealed that Cyp2c29 disruption suppressed the hepatic expression of multiple pro-fibrogenic, pro-inflammatory, and pro-angiogenic genes. Together, these findings demonstrate that the CYP monooxygenase pathway promotes the development of CDAA-HFD-induced liver fibrosis and its associated disorders.
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 GSE311044_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 PRJNA1368503 and SRA study SRP648063. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 14 more — browse all 14 samples with per-sample file links →

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