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Humanized Monoacylglycerol Acyltransferase 2 mice Become Obese and develop Metabolic Dysfunction-Associated Steatotic Liver Disease when fed a High Fat Diet

GSE283060 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2025/11/26 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 samples: 16 × Group 1 WT mice fed a HFD. RNASeq performed at end of study # vs 16 × Group 2 WT mice fed chow. RNASeq performed at end of the study # vs 16 × Group 3 Humanized Mgat2 mice fed a HFD. RNASeq performed at the end of the study # vs 16 × Group 4 Humanized Mgat2 mice fed chow. RNASeq performed at the end of the study #Groups 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)
Objective: Elevated monoacylglycerol acyltransferase 2 (hMOGAT2) expression is seen in individuals having obesity and mice lacking mMGAT2 activity are resistant to diet-induced obesity. Whether hMOGAT2 inhibitors have therapeutic value in treating obesity requires the use of physiologically relevant pre-clinical models to test for drug efficacy.
Read the full summary ↓
Methods: Here we characterized how humanized hMOGAT2 mice globally expressing hMOGAT2 responded metabolically to being fed a high fat diet. Results: hMOGAT2 and mMgat2 mice fed a high fat diet became obese, glucose-intolerant, and insulin resistant. Blood triglycerides and cholesterol levels were markedly elevated, as were liver triglycerides. Histological staining revealed the presence of metabolic dysfunction-associated steatotic liver disease (MASLD) and the beginning stages of metabolic dysfunction-associated steatohepatitis (MASH). Liver and adipose pAKTSer473 levels were decreased indicating defects in insulin signaling leading to pre-diabetes. Liver gluconeogenesis and de novo lipogenesis were likely increased based on the elevated gene expressions of Srebp2, Fasn, Pck1, and G6pc. TGF-β1-driven hepatic stellate cell activation led to extracellular matrix formation and increased pJNK-pSMAD2 and pJAK2-pSTAT5 signaling, contributing to hepatocyte apoptosis. Liver IL-4 and IL-13 levels were elevated further driving collagen deposition and the transition from MASLD to MASH. Conclusions: Results showing that humanized hMOGAT2 mice respond like mMgat2 mice lend support for their use as an in vivo preclinical efficacy model for testing hMOGAT2 inhibitors and for studying hMOGAT2 activity in the context of obesity
This dataset
Open GSE283060 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 GSE283060_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 PRJNA1191515 and SRA study SRP548102. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
16 × Group 1 WT mice fed a HFD. RNASeq performed at end of study # vs 16 × Group 2 WT mice fed chow. RNASeq performed at end of the study # vs 16 × Group 3 Humanized Mgat2 mice fed a HFD. RNASeq performed at the end of the study # vs 16 × Group 4 Humanized Mgat2 mice fed chow. RNASeq performed at the end of the study #

Supports a between-group comparison across 64 samples.

How we read this: 4 replicated groups read from 64 sample titles; they account for 64 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

+ 24 more — browse all 64 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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