ArticleHeliyon2024
Pre-eclampsia intronic polyadenylation enriched in VEGFA-VEGFR2 signaling pathway.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Trophoblast Function in Preeclampsia: Decoding the Mechanistic Roles of Coding and Non-Coding Genes.International journal of molecular sciences · 2025Review
- Environmental Toxicants in the Hispanic Community Epigenetically Contributing to Preeclampsia.Cardiovascular toxicology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: This study aims to reveal transcriptome-wide intronic polyadenylation (IPA) events associated with Pre-eclampsia (PE). Background: Pre-eclampsia (PE) is a potentially life-threatening complication of pregnancy, affecting both maternal and fetal health. However, our understanding of the underlying molecular mechanisms of PE remains limited. Objective: In this study, we conducted a transcriptome-wide analysis of gene expression levels and intronic polyadenylation (IPA) events in samples of patients with PE. We also conducted motif analysis and scanned the microRNA targeting IPA network. Method: We collected 90 PE-related samples from GEO database. IPA events were analyzed using IPAfinder software from hg38 alignment files from STAR. Miranda software was used to perform miRNA target gene prediction. Differentially expressed genes (DEG) were evaluated using edgeR with log2 fold change >1 and adjusted p-value <0.05. Function enrichment was performed through Clusterprofiler. Result: Our analysis revealed that genes in the VEGFA-VEGFR2 signaling pathway were functionally enriched with IPA events related to PE. We observed a negative correlation between gene expression levels and IPA events in VEGFA-VEGFR2 pathway. We identified LIN28B and AGO2 as the most significantly binding motifs to IPA sites. Furthermore, our analysis of miRNA binding sites associated with these IPA events revealed the central regulatory roles of miR-193b and miR-365a in IPA genes. Conclusion: Our findings suggest that transcriptome data-mining might be a useful approach in future studies aimed at identifying potential biomarkers for PE.
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Registered trials
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