Computational studies for cancer cell lineage models and cell signaling
发布时间：2015年11月16日
浏览次数：9974
发布者:
主讲人： Xinfeng Liu, Associate Professor， University of South Carolina
活动时间： 从 2015-11-16 00:00 到 00:00
场地： Quan 9
时间：11月16日，12：30-1：30
地点：镜春园全斋9
Speaker: Xinfeng Liu, Associate Professor， University of South Carolina
Title: Computational studies for cancer cell lineage models and cell signaling
Abstract: Solid tumors are heterogeneous in composition. Cancer stem cells (CSCs) are a highly tumorigenic cell type found in developmentally diverse tumors that are believed to be resistant to standard chemotherapeutic drugs and responsible for tumor recurrence. Thus understanding the tumor growth kinetics is critical for development of novel strategies for cancer treatment. For the first part of this talk, I shall introduce mathematical modeling for the dynamical interaction between cancer stem cells (CSCs) and non-stem cancer cells, and our findings reveal that two negative feedback loops are critical in controlling the balance between the population of CSCs and that of non-stem cancer cells. Furthermore, the model with negative feedback suggests that over-expression of the oncogene HER2 leads to an increase of CSCs by regulating the division mode or proliferation rate of CSCs.
Scaffold, a class of proteins, plays many important roles in signal transduction. For the second part of my talk,through studying various models of scaffold, I will show novel regulations induced by scaffold binding in a multi-site phosphorylation system and with scaffold's spatial localization. To efficiently compute the models, we introduce a new class of fast numerical algorithm incorporated with adaptive mesh refinement and WENO scheme for solving the stiff systems with spatial dynamics.
地点：镜春园全斋9
Speaker: Xinfeng Liu, Associate Professor， University of South Carolina
Title: Computational studies for cancer cell lineage models and cell signaling
Abstract: Solid tumors are heterogeneous in composition. Cancer stem cells (CSCs) are a highly tumorigenic cell type found in developmentally diverse tumors that are believed to be resistant to standard chemotherapeutic drugs and responsible for tumor recurrence. Thus understanding the tumor growth kinetics is critical for development of novel strategies for cancer treatment. For the first part of this talk, I shall introduce mathematical modeling for the dynamical interaction between cancer stem cells (CSCs) and non-stem cancer cells, and our findings reveal that two negative feedback loops are critical in controlling the balance between the population of CSCs and that of non-stem cancer cells. Furthermore, the model with negative feedback suggests that over-expression of the oncogene HER2 leads to an increase of CSCs by regulating the division mode or proliferation rate of CSCs.
Scaffold, a class of proteins, plays many important roles in signal transduction. For the second part of my talk,through studying various models of scaffold, I will show novel regulations induced by scaffold binding in a multi-site phosphorylation system and with scaffold's spatial localization. To efficiently compute the models, we introduce a new class of fast numerical algorithm incorporated with adaptive mesh refinement and WENO scheme for solving the stiff systems with spatial dynamics.
