ArticleFrontiers in cell and developmental biology2024
Transcriptomic profile of premature ovarian insufficiency with RNA-sequencing.
Article in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Transcriptomic Insights into Acupuncture Mechanisms in Protecting Ovarian Function in Mice with Premature Ovarian Insufficiency.Chinese journal of integrative medicine · 2026Article
- Meiotic gene expression ofInternational journal of reproductive biomedicine · 2026Article
- Proteomics reveal serum biomarkers for early diagnosis in premature ovarian insufficiency.Frontiers in endocrinology · 2026Article
- SLC25A39 identified as a key regulator of hepatocellular carcinoma progression through the mitochondrial ROS-cytochrome c-caspase signaling axis.Cellular & molecular biology letters · 2025Article
- Absence of CDK12 in oocyte leads to female infertility.Cell death & disease · 2025Article
- TIMP4 serves as a novel potential prognostic biomarker for oral squamous cell carcinoma.Scientific reports · 2025Article
- Differential expression and correlation analysis of global transcriptome for obstructive sleep apnea hypopnea syndrome.Frontiers in molecular biosciences · 2025Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: This study aimed to explore the transcriptomic profile of premature ovarian insufficiency (POI) by investigating alterations in gene expression. Methods: A total of sixty-one women, comprising 31 individuals with POI in the POI group and 30 healthy women in the control group (HC group), aged between 24 and 40 years, were recruited for this study. The transcriptomic profiles of peripheral blood samples from all study subjects were analyzed using RNA-sequencing. Results: The results revealed 39 differentially expressed genes in individuals with POI compared to healthy controls, with 10 upregulated and 29 downregulated genes. Correlation analysis highlighted the relationship between the expression of SLC25A39, CNIH3, and PDZK1IP1 and hormone levels. Additionally, an effective classification model was developed using SLC25A39, CNIH3, PDZK1IP1, SHISA4, and LOC389834. Functional enrichment analysis demonstrated the involvement of these differentially expressed genes in the "haptoglobin-hemoglobin complex," while KEGG pathway analysis indicated their participation in the "Proteoglycans in cancer" pathway. Conclusion: The identified genes could play a crucial role in characterizing the genetic foundation of POI, potentially serving as valuable biomarkers for enhancing disease classification accuracy.
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