GEO series

Chronic treatment with glucagon-like peptide-1/glucagon receptor co-agonist causes weight-loss independent improvements in hepatic steatosis

GSE243681 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/06/11 Platform GPL17021

At a glance

RNA-seq (gene expression) · mouse · 16 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: 16 samples: 4 × Semaglutide vs 4 × Dicretin vs 4 × Calorie restricted vs 4 × Saline controlGroups 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)

Co-agonists at the glucagon-like peptide-1/glucagon receptors (GLP1R/GCGR) show promise as treatments for metabolic dysfunction-associated steatotic liver disease (MASLD). Unlike GLP1, glucagon directly acts on the liver to reduce fat content. To date most metabolic studies have looked at heavily GLP1R-biased co-agonists and have not distinguished weight-loss versus weight loss-independent effects.

Read the full summary ↓

We demonstrate that 24 days’ treatment with Dicretin, a GLP1/GCGR co-agonist with high potency at the GCGR, in mice with hepatic steatosis secondary to diet-induced obesity leads to superior reduction of hepatic lipid content when compared to Semaglutide or equivalent weight loss by calorie restriction. Hepatic transcriptomic and metabolomic profiling demonstrated many changes that were unique to Dicretin-treated mice: some known targets of glucagon signalling and others with as yet unclear physiological significance. Our study supports the development of GLP1/GCGR co-agonists for treatment of MASLD and related conditions.

This dataset

Open GSE243681 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 GSE243681_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 PRJNA1019376 and SRA study SRP462256. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

4 × Semaglutide vs 4 × Dicretin vs 4 × Calorie restricted vs 4 × Saline control

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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

GSM7794041 Semaglutide 11 Semaglutide
GSM7794042 Semaglutide 15 Semaglutide
GSM7794043 Semaglutide 31 Semaglutide
GSM7794044 Semaglutide 51 Semaglutide
GSM7794045 Dicretin 14 Dicretin
GSM7794046 Dicretin 23 Dicretin
GSM7794047 Dicretin 64 Dicretin
GSM7794048 Dicretin 65 Dicretin
GSM7794049 Calorie restricted 7 Calorie restricted
GSM7794050 Calorie restricted 8 Calorie restricted
GSM7794051 Calorie restricted 52 Calorie restricted
GSM7794052 Calorie restricted 79 Calorie restricted
GSM7794053 Saline control 35 Saline control
GSM7794054 Saline control 50 Saline control
GSM7794055 Saline control 73 Saline control
GSM7794056 Saline control 78 Saline control

Datasets on a similar topic

GSE302656 Glucagon-like peptide-1 receptor agonism is associated with improved lung cancer outcomes and tumor growth control 10 samples shares peptide-1, glucagon-like
GSE286940 Glucagon-like peptide-1 receptor agonist prevents pulmonary fibrosis following acute COVID-19 infection associated with type 2 diabetes 5 samples shares peptide-1, glucagon-like
GSE307617 A low protein diet drives short and long-term improvements in metabolic health in a mouse model of sleeve gastrectomy 62 samples shares improvements
GSE292788 Cysteine deficiency triggers adipose tissue thermogenesis and weight-loss 48 samples shares weight-loss
GSE247241 Astrocyte morphology driven improvements to OCD phenotypes 16 samples shares improvements
GSE277578 Molecular Connectomics Reveals a Glucagon-Like Peptide 1 Sensitive Neural Circuit for Satiety 5 samples shares glucagon-like
GSE293660 Cysteine deficiency triggers adipose tissue thermogenesis and weight-loss [single-cell RNA-seq] 4 samples shares weight-loss

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.