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Transcriptomic profiling of the hypothalamus in a neonatal STZ-induced diabetes model: effects of Curcumin and Aged Garlic Extract.

GSE329555 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/05/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 4 × Diabetic Hypothalamus vs 3 × Control Hypothalamus vs 3 × Curcumin Treated Hypothalamus vs 2 × Aged garlic extract Treated HypothalamusGroups 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)
Type 2 Diabetes Mellitus (T2DM) is associated with a state of chronic low-grade inflammation that severely affects the central nervous system, particularly the hypothalamus, which acts as the master regulator of energy homeostasis. This study aimed to characterize the hypothalamic transcriptomic signature in a complex murine model of T2DM induced by neonatal administration of Streptozotocin (nSTZ, 70 mg/kg) followed by a chronic High-Fat Diet (HFD, 60% kcal from fat).
Read the full summary ↓
Given the neuroprotective properties of natural polyphenols, we evaluated the modulatory effects of Curcumin (50 mg/kg) and Aged Garlic Extract (EAE, 200 mg/kg) administered daily via oral gavage for 28 days. By employing high-throughput RNA sequencing (RNA-seq), we identified differentially expressed genes (DEGs) and perturbed molecular pathways involved in neuroinflammation, synaptic plasticity and gabaergic system. Our findings provide a comprehensive map of the gene expression changes associated with diabetic neurodegeneration and the therapeutic potential of nutraceutical interventions to restore hypothalamic function.
This dataset
Open GSE329555 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 GSE329555_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 PRJNA1459494 and SRA study SRP696114. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × Diabetic Hypothalamus vs 3 × Control Hypothalamus vs 3 × Curcumin Treated Hypothalamus vs 2 × Aged garlic extract Treated Hypothalamus

Supports a case/control comparison: 5 samples read as cases, 3 as controls.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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

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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.