Genome-Wide RNA Sequencing Analysis in Human Dermal Fibroblasts Exposed to Low-Dose Ultraviolet A Radiation.
Jinyun WangSatoshi YanoKun XieYoshihisa OhataTaichi HaraPublished in: Genes (2022)
Ultraviolet A (UVA) radiation can pass through the epidermis and reach the dermal skin layer, contributing to photoaging, DNA damage, and photocarcinogenesis in dermal fibroblasts. High-dose UVA exposure induces erythema, whereas low-dose, long-term UVA exposure causes skin damage and cell senescence. Biomarkers for evaluating damage caused by low-dose UVA in fibroblasts are lacking, making it difficult to develop therapeutic agents for skin aging and aging-associated diseases. We performed RNA-sequencing to investigate gene and pathway alterations in low-dose UVA-irradiated human skin-derived NB1RGB primary fibroblasts. Differentially expressed genes were identified and subjected to Gene Ontology and reactome pathway analysis, which revealed enrichment in genes in the senescence-associated secretory phenotype, apoptosis, respiratory electron transport, and transcriptional regulation by tumor suppressor p53 pathways. Insulin-like growth factor binding protein 7 (IGFBP7) showed the lowest p -value in RNA-sequencing analysis and was associated with the senescence-associated secretory phenotype. Protein-protein interaction analysis revealed that Fos proto-oncogene had a high-confidence network with IGFBP7 as transcription factor of the IGFBP7 gene among SASP hit genes, which were validated using RT-qPCR. Because of their high sensitivity to low-dose UVA radiation, Fos and IGFBP7 show potential as biomarkers for evaluating the effect of low-dose UVA radiation on dermal fibroblasts.
Keyphrases
- low dose
- high dose
- genome wide
- dna damage
- single cell
- oxidative stress
- transcription factor
- endothelial cells
- genome wide identification
- dna methylation
- wound healing
- copy number
- binding protein
- protein protein
- small molecule
- radiation induced
- endoplasmic reticulum stress
- risk assessment
- mesenchymal stem cells
- stress induced
- gene expression
- soft tissue
- network analysis