← BioTransfer GEO Dataset Finder
GEO series

Insulin promotes LTP in mice by switching the energy substrate preference of astrocytes to fatty acids [Mus]

GSE280416 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/03/13 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 3 × Control (treated with saline) vs 3 × 1 h following Insulin exposure vs 3 × 6 h following Insulin exposure vs 2 × 15 min following Insulin exposureGroups 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)
A total of 46,202 transcripts were detected from RNA extracts from Mus musculus hippocampus. Genes were filtered by setting the minimum FPKM value to log2, followed by a parametric statistical test to identify differentially expressed genes. Within 15 min of insulin administration, 181 transcripts were upregulated and 55 were downregulated.
Read the full summary ↓
At this early time-point, genes with altered expression were almost exclusively related to neuronal functions. Within 1h following insulin treatment, a similar number of transcripts (173) were upregulated and the expression of three-fold more genes (140) were downregulated. At this time-point, 12 genes associated with the release of lipids and fatty acids were increased. Within 6h following intranasal insulin administration, the number of transcripts with elevated expression remained similar (164), but the number of genes with reduced expression declined to 77. At this time point the genes with elevated expression were largely relate to lipid metabolism. These data demonstrate that insulin delivered directly to the brain produces a rapid, robust, and time-dependent modification in gene expression related to lipid metabolism.
This dataset
Open GSE280416 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 GSE280416_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 PRJNA1178554 and SRA study SRP541521. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × Control (treated with saline) vs 3 × 1 h following Insulin exposure vs 3 × 6 h following Insulin exposure vs 2 × 15 min following Insulin exposure

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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 →

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.