Single-cell transcriptomic analysis reveals the critical molecular pattern of UV-induced cutaneous squamous cell carcinoma.
Guorong YanLiang LiSibo ZhuYuhao WuYe-Qiang LiuLude ZhuZijun ZhaoFei WuNing JiaCaihe LiaoLong JiangQingyu ZengPeiru WangLei ShiZhe ZhengShan FangGuolong ZhangYichen TangXiuli L WangPublished in: Cell death & disease (2021)
Cutaneous squamous cell carcinoma (cSCC) is the second most common nonmelanoma skin cancer characterized by high invasiveness, heterogeneity, and mainly occurs in the ultraviolet (UV)-exposed regions of the skin, but its pathogenesis is still unclear. Here, we generated single-cell transcriptome profiles for 350 cells from six primary UV-induced cSCCs, together with matched adjacent skin samples, and three healthy control skin tissues by single-cell RNA-sequencing technology based on Smart-seq2 strategy. A series of bioinformatics analyses and in vitro experiments were used to decipher and validate the critical molecular pattern of cSCC. Results showed that cSCC cells and normal keratinocytes were significantly distinct in gene expression and chromosomal copy number variation. Furthermore, cSCC cells exhibited 18 hallmark pathways of cancer by gene set enrichment analysis. Differential expression analysis demonstrated that many members belonging to S100 gene family, SPRR gene family, and FABP5 were significantly upregulated in cSCC cells. Further experiments confirmed their upregulation and showed that S100A9 or FABP5 knockdown in cSCC cells inhibited their proliferation and migration through NF-κB pathway. Taken together, our data provide a valuable resource for deciphering the molecular pattern in UV-induced cSCC at a single-cell level and suggest that S100A9 and FABP5 may provide novel targets for therapeutic intervention of cSCC in the future.
Keyphrases
- single cell
- rna seq
- induced apoptosis
- copy number
- squamous cell carcinoma
- gene expression
- cell cycle arrest
- high throughput
- genome wide
- skin cancer
- high glucose
- dna methylation
- oxidative stress
- randomized controlled trial
- endoplasmic reticulum stress
- wound healing
- cell death
- big data
- drug induced
- inflammatory response
- young adults
- endothelial cells
- rectal cancer