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Exploration potential regulatory mechanisms in ovarian injury of mice exposed to low-pressure hypoxia through whole transcriptome sequencing analysis [RNA-seq]

GSE303172 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/07/29 Platform GPL28457
Summary
Chronic high-altitude hypoxia causes significant ovarian tissue damage. This study investigates the underlying mechanisms of ovarian injury in mice exposed to hypoxia, aiming to guide targeted therapy development. Mice were divided into either normal pressure (MP, n=15) or hypobaric hypoxia (PU, n=15) and samples from both groups were analyzed using whole-transcriptome sequencing data. Hub genes were identified through differential expression analysis and protein-protein interaction (PPI) network construction before their expression patterns were examined. Subsequently, functional enrichment was conducted. Key miRNAs, lncRNAs, circRNAs, and transcription factors (TFs) were ascertained. Finally, RT-qPCR and Western blotting (WB) were performed. Hmgcr, Ptgs2, and Mmp3 were identified as hub genes, all showing pronounced lower expression in PU samples. RT-qPCR analysis confirmed the downregulation of these genes, with WB analysis further demonstrating a significant reduction in their protein levels in PU samples. These hub genes were predominantly enriched in "oxidative phosphorylation" pathway. Furthermore, lncRNA-miRNA-mRNA, circRNA-miRNA-mRNA, and TF-mRNA regulatory networks were constructed. These networks highlighted key regulatory molecules, including the miRNA mmu-miR-144-3p, 2 lncRNAs (Miat and Neat1), 8 circRNAs (eg. novel_circ_041272-mu-miR-144-3p-Ptgs2), and 1 TF (Etv4). These results provide key insights for targeted ovarian injury therapies under low-pressure hypoxia.
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Direct links to NCBI, no account and no request form: the whole study as GSE303172_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1294279 and SRA study SRP602561. Searching any of these in the dataset finder brings you back here.

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