GSE124029
Gene-expression patterns at transcriptional ans translational levels in the tissues of colorectal cancer are different from that in the correspondent adjacent regions
In the interest of gene expression status responsive to CRC, the colorectal tissues from the tumor and adjacency were isolated from the AOM/DSS mouse model, and then the transcriptomes and proteomes in these tissues were quantitatively profiled using next generation sequencing (NGS) and liquid chromatography mass spectrometry (LC-MS). The mutations in the transcriptomes exhibited huge diversity at either site or gene, while a few of mutated peptide were identified in these CRC tissues. Surprisingly, the inconsistent mutations in the gene expression transcriptional products were poorly supported by the genomic data at somatic mutations from the same mouse model. However, quantitative transcriptomic and proteomic data unveiled in the common and clearly differential patterns that enabled a distinction between the tumor and adjacent tissues, implying gene expression status as the sensitive indicators to characterize the CRC-related molecular features. The differentially expressed genes (DEGs) were enriched in the process of environmental information, while the differentially expressed proteins (DEPs) were concentrated in the metabolic pathways. Analysis towards the abundance of expressed products further clarified that most transcripts at lower abundance belonged to the genes within signaling pathways and most transcripts and proteins at higher abundance came from the genes located functioned in metabolism. Collecting transcriptomic and proteomic data in the cancer genome atlas (TCGA) and adopting the similar analysis strategy, the gene expression patterns were compared between human and mouse CRC. The functional themes of the cancer-related genes derived from transcriptomic as well as proteomic evidence in the mouse CRC were quite similar to that in human CRC. The CRC model upon the AOM/DSS mouse is therefore well mimic to human CRC. Overall design: Mutation detection and gene expression profiles of CRC and matched-normal tissues from AOM/DSS mice at both transcritomics and proteomics levels.