Integrated analysis of long non-coding RNAs and mRNAs associated with condyloma acuminatum.
Sizheng TaoPing CaoMei JinPeiyan SuoYuan ChenYu-Ye LiPublished in: The Journal of dermatology (2024)
Condyloma acuminatum (CA) is a prevalent sexually transmitted disease caused by low-risk human papillomavirus infection, characterized by high transmission and recurrence rates. Long non-coding RNAs (lncRNAs) play a crucial role in regulating gene transcription and are involved in various biological processes. Although recent studies have demonstrated the involvement of lncRNAs in cervical cancer, their expression profile and function in CA remain poorly understood. In this study, we aimed to identify messenger RNA (mRNA) and lncRNA expression patterns in CA using high-throughput lncRNA sequencing. We found that 3033 differentially expressed genes (DEGs) and 1090 differentially expressed lncRNAs (DELs) were significantly altered in CA compared to healthy controls. The results from quantitative reverse transcription polymerase chain reaction and immunohistochemical staining are in accordance with the observed trends in the sequencing data. Functional enrichment analysis revealed that upregulated DEGs in CA were involved in biological processes such as virus response, immune response, cell cycle regulation, the tumor necrosis factor signaling pathway, and the P53 signaling pathway. Co-expression network analysis identified potential target genes of DELs, with enrichment in biological processes such as cell differentiation, the intrinsic apoptotic signaling pathway, and pathways such as virus infection, pathways in cancer, T helper 17 cell differentiation, the mitogen-activated protein kinase signaling pathway, and the Wnt signaling pathway. Collectively, our findings indicate significant changes in the transcriptome profile, including mRNAs and lncRNAs, in CA compared to healthy controls. Our study provides new insights into the potential functions of lncRNAs in the pathogenesis of CA and identifies potential therapeutic targets for this disease.
Keyphrases
- signaling pathway
- long non coding rna
- network analysis
- poor prognosis
- genome wide analysis
- genome wide identification
- genome wide
- pi k akt
- cell cycle
- protein kinase
- single cell
- epithelial mesenchymal transition
- high throughput
- immune response
- induced apoptosis
- transcription factor
- cell proliferation
- rheumatoid arthritis
- stem cells
- dna methylation
- rna seq
- gene expression
- dendritic cells
- cell death
- machine learning
- young adults
- human health
- climate change
- risk assessment
- squamous cell carcinoma
- electronic health record
- regulatory t cells
- mass spectrometry
- copy number
- anti inflammatory
- artificial intelligence
- big data
- papillary thyroid