Identification and analysis of DEGs of mouse tumor cells by integrated bioinformatics methods

Mutations and genome instability are hallmarks of cancer. The advanced Next Generation Sequencing(NGS) technology now enables rapid and cost-effective analysis for tumoral and normal genomic translational research. In this research, mRNA sequencing was applied to get the whole transcriptome data of mouse B16F10 melanoma and CT26 colon carcinoma cells. Up regulation genes and down regulation genes were identified in tumor cells with differentially expressed genes(DEGs) analysis. The DEGs were analyzed with GO, KEGG and Reactome pathway enrichment study. Results demonstrated the DEGs and enriched pathways were mainly associated with cell proliferation and biosynthetic processing. Further, gene fusion and alternative splicing analysis reveled fusion genes and skipped exons were extensive exist within the chromosomes of tumor cells. Together, the integrated DEGs and bioinformatics analysis in this article may shed light on further research of cancer treating targets and molecular mechanisms of carcinogenesis.