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Transcriptomic analysis and experimental verification reveal the involvement of PI3K/AKT signaling pathway in high-altitude cognitive dysfunction [6_OHG]

GSE307180 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2025/11/14 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 5 × brain tissue, Mod vs 4 × brain tissue, Con vs 4 × brain tissue, 6-OHGGroups 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
6-Hydroxygenistein Ameliorates High Altitude Brain Injury via Activating PI3K/AKT Signaling Pathway Based on Transcriptomic Analysis and Experimental ValidationDrug design, development and therapy · 2025
Summary (written by the submitters)
Our Prior research has shown that 6-hydroxygenistein (6-OHG) alleviates hypobaric hypoxia induced brain injury (HHBI) achieved by its powerful antioxidant, anti-inflammatory, and anti-apoptotic capabilities, but its mechanism still requires additional investigation. The objective of this study was to uncover the protective mechanism of 6-OHG against HHBI based on transcriptomics analysis and experimental validation.The RNA-Seq analysis revealed 1585 differentially expressed genes (DEGs) between the Con and Mod groups, with 460 upregulated and 1125 downregulated.
Read the full summary ↓
Between the 6-OHG and Mod groups, there were 679 DEGs, including 348 upregulated and 331 downregulated genes. Go and KEGG function analyses highlighted the PI3K/AKT signaling pathway as a crucial regulatory mechanism. Western blot analysis showed that HH exposure caused a decrease in the ratios of p-PI3K/PI3K and p-AKT/AKT in the mouse brain, but this effect was reversed by 6-OHG treatment, indicating that 6-OHG activates the PI3K/AKT signaling pathway. Furthermore, LY294002, a selective PI3K inhibitor, effectively blocked this activation and also abolished the protective effects of 6-OHG on histopathological damage, as well as its antioxidant, anti-inflammatory, and anti-apoptotic activities in HHBI mice. In summary, 6-OHG mitigates HHBI by activating the PI3K/AKT signaling pathway, suggesting its potential therapeutic application for HHBI treatment.
Published in
6-Hydroxygenistein Ameliorates High Altitude Brain Injury via Activating PI3K/AKT Signaling Pathway Based on Transcriptomic Analysis and Experimental Validation
Xin Y, Wang G, Yang C et al. · Drug design, development and therapy 2025 · PMID 41017809 · doi:10.2147/DDDT.S526988
This dataset
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.

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 GSE307180_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1314700 and SRA study SRP617451. Searching any of these in the dataset finder brings you back here.

Study design
5 × brain tissue, Mod vs 4 × brain tissue, Con vs 4 × brain tissue, 6-OHG

Supports a between-group comparison across 13 samples.

How we read this: 3 replicated groups read from 13 sample titles; they account for 13 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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