Inferring the Effects of Honokiol on the Notch Signaling Pathway in SW480 Colon Cancer Cells

被引:0
|
作者
Wynn, Michelle [1 ,2 ,3 ,4 ,5 ]
Consul, Nikita [6 ]
Merajver, Sofia [1 ,2 ]
Schnell, Santiago [3 ,4 ,5 ]
机构
[1] Univ Michigan, Sch Med, Dept Internal Med, Div Hematol & Oncol, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Med, Ctr Comprehens Canc, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Sch Med, Dept Mol & Integrat Physiol, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Sch Med, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Sch Med, Brehm Ctr Diabet Res, Ann Arbor, MI 48109 USA
[6] Columbia Univ Coll Phys & Surg, New York, NY 10032 USA
来源
CANCER INFORMATICS | 2014年 / 13卷
关键词
Notch; honokiol; reverse engineering; signaling pathways; logic networks;
D O I
10.4137/CIn.s14060
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
In a tumor cell, the development of acquired therapeutic resistance and the ability to survive in extracellular environments that differ from the primary site are the result of molecular adaptations in potentially highly plastic molecular networks. The accurate prediction of intracellular networks in a tumor remains a difficult problem in cancer informatics. In order to make truly rational patient-driven therapeutic decisions, it will be critical to develop methodologies that can accurately infer the molecular circuitry in the cells of a specific tumor. Despite enormous heterogeneity, cellular networks elicit deterministic digital-like responses. We discuss the use and limitations of methodologies that model molecular networks in cancer cells as a digital circuit. We also develop a network model of Notch signaling in colon cancer using a novel reverse engineering logic-based method and published western blot data to elucidate the interactions likely present in the circuits of the SW480 colon cancer cell line. Within this framework, we make predictions related to the role that honokiol may be playing as an anti-cancer drug.
引用
收藏
页码:1 / 12
页数:12
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