In recent years, human cancer genome projects provide unprecedented opportunities for the discovery of cancer genes and signaling pathways that contribute to tumor development. While numerous gene mutations can be identified from each cancer genome, what these mutations mean for cancer is a challenging question to address, especially for those from less understood putative new cancer genes. As a powerful approach, in silico bioinformatics analysis could efficiently sort out mutations that are predicted to damage gene function. Such an analysis of human large tumor suppressor genes, LATS1 and LATS2, has been carried out and the results support a role of hLATS1//2 as negative growth regulators and tumor suppressors.
Adaptor Proteins, Signal Transducing ; chemistry ; metabolism ; Animals ; Carrier Proteins ; chemistry ; metabolism ; Computational Biology ; Genes, Neoplasm ; Humans ; LIM Domain Proteins ; chemistry ; metabolism ; Mice ; Mutation ; Neoplasms ; genetics ; pathology ; Phosphoproteins ; chemistry ; metabolism ; Phosphorylation ; Protein Binding ; Protein Structure, Tertiary ; Protein-Serine-Threonine Kinases ; chemistry ; genetics ; metabolism ; Transferases (Other Substituted Phosphate Groups) ; chemistry ; metabolism ; Tumor Suppressor Proteins ; chemistry ; genetics ; metabolism