Genome-Wide Expression Difference of MicroRNAs in Basal Cell Carcinoma.
Hai-Peng WeiSong ZhanQing-An ZhuZhen-Juan ChenXian FengJun-Yuan ChenQi-Lin ZhangJingjie ZhaoLingzhang MengPublished in: Journal of immunology research (2021)
Distinct expression of the miRNAs has rarely been explored in basal cell carcinoma (BCC) of skin, and the regulatory role of miRNAs in BCC development remains quite opaque. Here, we collected control tissues from adjacent noncancerous skin (n = 15; control group) and tissues at tumor centers from patients with cheek BCC (n = 15; BCC group) using punch biopsies. After six small RNA sequencing- (sRNA-seq-) based miRNA expression profiles were generated for both BCC and controls, including three biological replicates, we conducted comparative analysis on the sRNA-seq dataset, discovering 181 differentially expressed miRNAs (DEMs) out of the 1,873 miRNAs in BCCs. In order to validate the sRNA-seq data, expression of 15 randomly selected DEMs was measured using the TaqMan probe-based quantitative real-time PCR. Functional analysis of predicted target genes of DEMs in BCCs shows that these miRNAs are primarily involved in various types of cancers, immune response, epithelial growth, and morphogenesis, as well as energy production and metabolism, indicating that BCC development is caused, at least in part, by changes in miRNA regulation for biological and disease processes. In particular, the "basal cell carcinoma pathways" were found to be enriched by predicted DEM targets, and regulatory relationships between DEMs and their targeted genes in this pathway were further uncovered. These results revealed the association between BCCs and abundant miRNA molecules that regulate target genes, functional modules, and signaling pathways in carcinogenesis.
Keyphrases
- basal cell carcinoma
- genome wide
- dna methylation
- single cell
- poor prognosis
- real time pcr
- immune response
- copy number
- gene expression
- rna seq
- transcription factor
- long non coding rna
- young adults
- dendritic cells
- high resolution
- epithelial mesenchymal transition
- living cells
- bioinformatics analysis
- big data
- inflammatory response
- deep learning
- artificial intelligence
- network analysis