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Adipogenesis, lipolysis, and extracellular matrix remodeling are early modulated by a triterpene-enriched natural extract in a mouse cell line and primary human adipocytes

GSE272831 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2024/07/31 Platform GPL20301Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 14 conditions, mostly in triplicateGroups 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
A triterpene-enriched natural extract from Eucalyptus tereticornis modulates the expression of genes involved in adipogenesis, lipolysis, and extracellular matrix remodeling in a primary human and mouse cell line adipocytePharmaceutical biology · 2025
Summary (written by the submitters)
Chronic Inflammation has a key role in the development of insulin resistance and type 2 diabetes. Previously, we demonstrated that OBE100, a natural extract from the leaves of Eucalyptus tereticornis, has anti-inflammatory properties. Three pentacyclic triterpenoids, ursolic acid, oleanolic acid, and ursolic acid lactone are the major compounds present in OBE100.
Read the full summary ↓
These molecules have shown multiple biological activities. In this study we analyzed how the compounds of OBE100 modify adipocyte gene expression using RNA sequencing. Triterpenoids regulate the inflammatory program in differentiated adipocytes, inhibiting the expression of many cytokines, chemokines, and inflammatory mediators. However, the OBE100 extract has a more powerful immunomodulatory effect than the triterpene mixture increasing the number of genes regulated, both in mouse and human models. Our study shows that OBE100 is a promising extract for the treatment of diabetes that can break the link between inflammation and insulin resistance.
Published in
A triterpene-enriched natural extract from Eucalyptus tereticornis modulates the expression of genes involved in adipogenesis, lipolysis, and extracellular matrix remodeling in a primary human and mouse cell line adipocyte
Acin S, Mejia-Garcia A, Fernandez GJ et al. · Pharmaceutical biology 2025 · PMID 40382687 · doi:10.1080/13880209.2025.2505443
This dataset
Open GSE272831 in finder → Find more 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 GSE272831_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 PRJNA1139062 and SRA study SRP521536. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40382687) ↗
Study design
14 conditions, mostly in triplicate
J774_cells_CONTROL ×3 J774_cells_CONTROL ACTIVADO ×3 J774_cells_OBE ×3 J774_cells_M ×3 J774_cells_UA ×3 J774_cells_OA ×3 J774_cells_UAL ×3 U937_cells_CONTROL ×3 +6 more

Supports a between-group comparison across 40 samples.

How we read this: 14 replicated groups read from 40 sample titles; they account for 40 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
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