Transcriptome analysis of eutopic endometrial stromal cells in women with adenomyosis by RNA-sequencing.
Lin GanYongrong LiYan ChenMeihua HuangJian CaoMeiling CaoZhihui WangGuiping WanTao GuiPublished in: Bioengineered (2022)
This study aimed to identify differentially expressed genes (DEGs) and molecular pathways in eutopic endometrial stromal cells (EuESCs) from adenomyosis (AM) patients and to provide a new insight into the disease mechanisms. The gene expression profiles in adenomyotic EuESCs (A-EuESCs) and normal ESCs (N-ESCs) were analyzed by RNA-sequencing (RNA-Seq) and validated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses were performed to obtain insights into the functions of DEGs. The protein-protein interaction (PPI) network was constructed using the STRING database and visualized by Cytoscape software, and their hub genes were identified. A total of 458 up-/363 down-regulated genes were identified in A-EuESCs versus N-ESCs. The GO enrichment analysis showed that these genes were significantly enriched in calcium-dependent cell-cell adhesion. The most significant term of the KEGG pathway analysis was cytokine-cytokine receptor interaction. There were 145 nodes in the PPI network of the 157 DEGs, which were identified in significant enrichment pathway by the KEGG pathway analysis in N-ESCs and A-EuESCs. The PPI network revealed that IL-6 was a central hub gene. Besides, IL-6 was found as a central hub gene in the pro-inflammatory/chemotactic subnetwork, and EGF was noted as a central hub gene in the angiogenesis subnetwork. Our study indicated the alterations of transcriptomic profiles in A-EuESCs and provided new insights into the pathogenesis of AM. The A-EuESCs in women with AM have fundamental abnormalities that may predispose to pro-invasion/migration and angiogenesis.
Keyphrases
- genome wide identification
- genome wide
- single cell
- bioinformatics analysis
- rna seq
- protein protein
- transcription factor
- genome wide analysis
- copy number
- dna methylation
- network analysis
- small molecule
- end stage renal disease
- endothelial cells
- emergency department
- ejection fraction
- high resolution
- chronic kidney disease
- preterm infants
- cell adhesion
- squamous cell carcinoma
- early stage
- peritoneal dialysis
- anti inflammatory
- gene expression
- growth factor
- mesenchymal stem cells
- lymph node
- single molecule
- data analysis
- gestational age