Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and liver metastasis remains the major cause of death in CRC. Extensive genomic analysis provided valuable insight into the pathogenesis and progression of CRC. However, the major proteogenomic characterization of CRC liver metastasis is still unknown. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.
Project description:To explore the mechanisms underlying the pathogenesis of EV-A71 infection and to identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of the muscle tissue of BALB/c mice infected with EV-A71, including transcriptomic, proteomic and phosphoproteomic data. Our results showed that phagosome, complement and coagulation cascade pathway-related molecules were activated, and the expression of cell growth-related molecules was downregulated. Time course analysis revealed dynamic changes in the expression of the genes, and cluster analysis revealed different trends. Additionally, we mapped the global phosphorylation profiles to dysregulated kinases, predicting 32 drugs corresponding to 27 kinases. We found that kinase inhibitors have antiviral activity in vitro; vandetanib, nintedanib and dasatinib can inhibit virus replication in mice to some extent. Our multiple -omics dataset represents a useful resource for researchers seeking to better understand and identify candidate therapeutic drugs for treating EV-A71 infection.
Project description:Current clinical therapy of non-small cell lung cancer depends on histo-pathological classification. This approach poorly predicts clinical outcome for individual patients. Proteogenomic characterization analysis holds promise to improve clinical stratification, thus paving the way for individualized therapy. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human large cell lung cancer. Here we analyzed proteomes of 29 paired normal lung tissues and large cell lung cancer, identified significantly deregulated proteins associated with large cell lung cancer.