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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
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Biomarker screening in fetal growth restriction based on multiple RNA-seq studies
Xiaohui Li1, Xin He1, Zhengpeng Li2
1Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China.
European Journal of Obstetrics & Gynecology and Reproductive Biology: X
|November 13, 2023
Summary
This study identifies four novel gene biomarkers for fetal growth restriction (FGR) using bioinformatics analysis of RNA-seq data. These findings could aid in early FGR diagnosis and prediction.
Area of Science:
- Genomics
- Bioinformatics
- Obstetrics
Background:
- Fetal growth restriction (FGR) is a serious pregnancy complication with unclear early diagnostic markers.
- Sequencing technologies offer potential for identifying novel FGR biomarkers, but individual studies have limitations.
- Consolidating data from multiple studies is crucial for robust biomarker discovery.
Purpose of the Study:
- To identify reliable gene biomarkers for early diagnosis and prediction of FGR.
- To overcome limitations of individual studies by performing a meta-analysis of public RNA-seq data.
- To discover novel molecular targets for FGR.
Main Methods:
- Multi-step bioinformatics analysis of four public RNA-seq datasets.
- Differential gene expression analysis using DESeq2.
- Functional enrichment analysis and protein-protein interaction network (PPI) to identify hub genes.
- Validation using external microarray data.
Main Results:
- Identified 65 dysregulated genes in FGR cases compared to controls.
- Revealed ten hub genes associated with FGR through enrichment and PPI analyses.
- Validated four downregulated genes (CEACAM6, SCUBE2, DEFA4, MPO) as candidate FGR biomarkers.
Conclusions:
- Omics technologies are valuable for understanding pregnancy disorders like FGR.
- The identified candidate biomarkers warrant further investigation for clinical application.
- This research contributes to improving obstetric clinical practice through advanced molecular insights.
