Power-Law Modeling of Cancer Cell Fates Driven by Signaling Data to Reveal Drug Effects.

ABSTRACT: Extracellular signals are captured and transmitted by signaling proteins inside a cell. An important type of cellular responses to the signals is the cell fate decision, e.g., apoptosis. However, the underlying mechanisms of cell fate regulation are still unclear, thus comprehensive and detailed kinetic models are not yet available. Alternatively, data-driven models are promising to bridge signaling data with the phenotypic measurements of cell fates. The traditional linear model for data-driven modeling of signaling pathways has its limitations because it assumes that the a cell fate is proportional to the activities of signaling proteins, which is unlikely in the complex biological systems. Therefore, we propose a power-law model to relate the activities of all the measured signaling pro

SUBMITTER: Zhang F 

PROVIDER: S-EPMC5072688 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature