Estimating developmental states of tumors and normal tissues using a linear time-ordered model

Background: Tumor cells are considered to have an aberrant cell state, and some evidence indicates different development states appearing in the tumorigenesis. Embryonic development and stem cell differentiation are ordered processes in which the sequence of events over time is highly conserved. The “cancer attractor” concept integrates normal developmental processes and tumorigenesis into a high-dimensional “cell state space”, and provides a reasonable explanation of the relationship between these two biological processes from theoretical viewpoint. However, it is hard to describe such relationship by using existed experimental data; moreover, the measurement of different development states is also difficult. Results: Here, by applying a novel time-ordered linear model based on a co-bisector which represents the joint direction of a series of vectors, we described the trajectories of development process by a line and showed different developmental states of tumor cells from d...

• Type: Journal
• Year: 2011
• Where: BMCBI
• Authors: Bo Zhang, Beibei Chen, Tao Wu, Zhenyu Xuan, Xiaopeng Zhu, Runsheng Chen
• Keywords: Artificial Intelligence, BMCBI 2011, Cell State, Cell State Space, Developmental