Satoru Miyano

TL;DR: This project focused its study on the LUC7L2 gene encoding a spliceosomal protein that interacts with U1 snRNP to recognize 5’ splice sites, in contrast to other splICEosomal genes mutated in MDS, which found abnormal splicing of genes involved in functionally important pathways including the RAS pathway (NF1) and the TGF-β pathway (SMAD5).

TL;DR: This chapter uses Cell Illustrator 3.0 (CI3.0) to understand the procedures for creating and simulating pathway models and shows how to model and simulate by drawing a pathway.

TL;DR: How the system works as a conglomerate of oncologists, cancer biologists, bioinformatics experts augmented with Watson and Genomon is reported, which drastically resolved the bottleneck of interpretation/translation.

TL;DR: This chapter describes the computational methods for estimating, modeling, and simulating biological systems, and devised a method to infer a gene network in terms of a linear system of differential equations from time-course gene expression data.

TL;DR: A novel computational method is proposed, designated network-constrained sparse common component analysis (NetSCCA), that extracts common structures of multiple networks characterizing molecular interaction in drug-sensitive and drug-resistant cell lines and has the capacity to characterize the molecular interplay between genes and crucial markers related to mechanisms of acquired drug resistance that cannot be revealed by analysis based solely on DEG.