Consensus Gene Network Analysis Identifies the Key Similarities and Differences in Endothelial and Epithelial Cell Dynamics after Candida albicans Infection.
Surabhi NaikAkram MohammedPublished in: International journal of molecular sciences (2023)
Endothelial and epithelial cells are morphologically different and play a critical role in host defense during Candida albicans infection. Both cells respond to C. albicans infection by activating various signaling pathways and gene expression patterns. Their interactions with these pathogens can have beneficial and detrimental effects, and a better understanding of these interactions can help guide the development of new therapies for C. albicans infection. To identify the differences and similarities between human endothelial and oral epithelial cell transcriptomics during C. albicans infection, we performed consensus WGCNA on 32 RNA-seq samples by relating the consensus modules to endothelial-specific modules and analyzing the genes connected. This analysis resulted in the identification of 14 distinct modules. We demonstrated that the magenta module correlates significantly with C. albicans infection in each dataset. In addition, we found that the blue and cyan modules in the two datasets had opposite correlation coefficients with a C. albicans infection. However, the correlation coefficients and p -values between the two datasets were slightly different. Functional analyses of the hub of genes from endothelial cells elucidated the enrichment in TNF, AGE-RAGE, MAPK, and NF-κB signaling. On the other hand, glycolysis, pyruvate metabolism, amino acid, fructose, mannose, and vitamin B6 metabolism were enriched in epithelial cells. However, mitophagy, necroptosis, apoptotic processes, and hypoxia were enriched in both endothelial and epithelial cells. Protein-protein interaction analysis using STRING and CytoHubba revealed STAT3 , SNRPE , BIRC2 , and NFKB2 as endothelial hub genes, while RRS1 , SURF6 , HK2 , and LDHA genes were identified in epithelial cells. Understanding these similarities and differences may provide new insights into the pathogenesis of C. albicans infections and the development of new therapeutic targets and interventional strategies.
Keyphrases
- candida albicans
- endothelial cells
- network analysis
- biofilm formation
- rna seq
- genome wide
- signaling pathway
- gene expression
- bioinformatics analysis
- single cell
- high glucose
- pi k akt
- induced apoptosis
- cell death
- small molecule
- dna methylation
- rheumatoid arthritis
- oxidative stress
- protein protein
- vascular endothelial growth factor
- escherichia coli
- inflammatory response
- copy number
- clinical practice
- pseudomonas aeruginosa
- transcription factor
- nlrp inflammasome
- toll like receptor
- multidrug resistant
- immune response
- endoplasmic reticulum stress
- nuclear factor
- pluripotent stem cells
- genome wide analysis