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Investigating the potential molecular mechanisms of mogroside V on glucose homeostasis by transcriptome profiling of adult mouse hypothalamic cells

GSE275887 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2024/09/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 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.
Summary (written by the submitters)
In recent years, mogroside V (MV), primarily found in monk fruit, has garnered significant attention due to its reported health benefits, including anti-inflammatory, antioxidant properties, and its association with glucose metabolism. Understanding the impact of MV on the transcriptome represents a crucial challenge in unraveling its mechanisms of action and potential therapeutic applications.
Read the full summary ↓
This study aims to investigate the effects of varying doses of MV (15 µM, 60 µM, and 160 µM) on transcriptome profiles of adult mouse hypothalamus neuronal cells cultured in normal and high glucose conditions. The data presented demonstrate that up to 103 genes, depending on the study group, exhibited differential expression. Our results indicate activation of the Notch and FoxO signaling pathways associated with glucose metabolism as well as AMPK signaling pathway, a key regulator of glucose and lipid metabolism. The observed enrichment of pathways related to oxidative stress further supports the antioxidant properties of MV. Notably, the pathway analysis revealed dose-dependent effects of MV on glucose metabolism, solely under normal glucose conditions. However, these effects diminished in the presence of high glucose levels, with potential implications for cellular viability. Overall, our study underscores the potential role of MV in modulating glucose metabolism, inflammation, and oxidative stress. Further research, particularly in animal models, is needed to validate these findings and elucidate the potential therapeutic properties of MV supplementation.
This dataset
Open GSE275887 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 GSE275887_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 PRJNA1153497 and SRA study SRP529284. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in triplicate
NGC ×3 NG1 ×3 NG2 ×3 NG3 ×3 HGC ×3 HG1 ×3 HG2 ×3 HG3 ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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

Search all mouse RNA-seq datasets in GEO →

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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.