Abstract
Thin endometriumQuery (TE) significantly contributes to poor embryo implantation and female infertility, yet its pathogenesis remains unclear, limiting effective treatment options. To identify potential TE-associated genes and explore underlying mechanisms for clinical therapy, we conducted RNA sequencing on 18 TE and 18 normal endometrium samples, followed by bioinformatics analysis. Total RNA was extracted from samples, reverse-transcribed into cDNA, and sequenced on the HiSeq 2500 platform, followed by differential expression analysis and functional enrichment of differentially expressed genes (DEGs). Functional enrichment and LASSO analysis identified key biomarkers, which were subsequently validated at both mRNA and protein levels. Immune infiltration patterns and correlations with immune cells were also examined. Consequently, ribosomal protein L7 (RPL7) and RCC1 domain-containing 1 (RCCD1) were identified as potential biomarkers, showing overexpression in TE and association with abnormal immune regulation. These findings suggest that RPL7 and RCCD1 may serve as specific biomarkers for TE, providing insights that could aid in developing targeted therapeutics to improve clinical outcomes.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2202-2215 |
| Number of pages | 14 |
| Journal | Reproductive Sciences |
| Volume | 32 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2025 |
Keywords
- Diagnostic biomarker
- Immune infiltration
- Machine learning
- RCCD1
- RPL7
- Thin endometrium
ASJC Scopus subject areas
- Obstetrics and Gynecology
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