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Hepatic Lpcat3 Accelerates Nonalcoholic Fatty Liver Disease by slut1e1-related promoting fatty acid oxidation and reducing fatty acid synthesis [MCD RNA-seq]

GSE273291 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/01/10 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: 3 × M-CF vs 3 × M-CC vs 3 × M-MF vs 3 × M-MCGroups 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)
Non-alcoholic steatohepatitis (NASH) is a common chronic liver disease associated with metabolic disorders such as obesity, diabetes, and high cholesterol. It results in inflammation and fibrosis of liver tissue, eventually leading to cirrhosis and liver cancer. While LPCAT3 has been linked to the formation of fat cells, its role in the development of NASH is not yet fully understood.
Read the full summary ↓
The purpose of this study was to gain insights into the mechanisms that accelerate NASH induced by LPCAT3. We utilized a genetic engineering rodent model and transcriptomics sequencing approach to explore the role and regulatory mechanism of LPCAT3 in the development of NAFLD. Approach & Results: We studied the impact of Lpcat3 deficiency on NASH progression using three distinct Lpcat3 liver-specific knockout mouse (LKO) models and conducted RNA sequencing, lipidomics, and metabolomics studies on liver samples. Human samples were obtained and analyzed for LPCAT3 expression in patients with NASH to determine its correlation with disease severity. The HepG2 and Huh-7 cell lines were utilized for in vitro analyses. We discovered that LPCAT3 expression was elevated in human NASH livers, and its expression correlated with NAFLD activity score and fibrosis stage. Lpcat3 deficiency in the mouse liver slows the development of diet-induced NASH. Lpcat3 deficiency mechanistically reduces lipid production by inhibiting lipid metabolic pathwaysDeletion of Lpcat3 significantly improved lipid accumulation in NASH mice, possibly due to the involvement of sult1e1 in lipogenesis and oxidation regulation. Moreover, the hepatic overexpression of Lpcat3 significantly intensified lipid buildup in steatotic cells, indicating that LPCAT3 plays a crucial role in the progression of NASH. Conclusions: The findings indicate that LPCAT3 regulates the participation of sult1e1 in both adipogenesis and oxidation, leading to enhanced NASH outcomes.
This dataset
Open GSE273291 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 GSE273291_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: 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 PRJNA1141369 and SRA study SRP522757. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × M-CF vs 3 × M-CC vs 3 × M-MF vs 3 × M-MC

Supports a between-group comparison across 12 samples.

How we read this: 4 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
Datasets on a similar topic

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