Towards an Experimental and Systems Biology Framework for Cancer Cell Therapeutics

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)

Volume 11, 5 Issues, 2016

Download PDF Flyer

Current Bioinformatics

Aims & ScopeAbstracted/Indexed in

Submit Abstracts Online Submit Manuscripts Online

Yi-Ping Phoebe Chen
Department of Computer Science and Information Technology
La Trobe University

View Full Editorial Board

Subscribe Purchase Articles Order Reprints

Current: 0.921
5 - Year: 1.045

Towards an Experimental and Systems Biology Framework for Cancer Cell Therapeutics

Current Bioinformatics, Volume 8 (E-pub ahead of print)

Author(s): Petar M Mitrasinovic.


Since most molecular studies on death of cells in tissues have been carried out on isolated cell populations due to known difficulties manifested by interactions with surrounding cells, a novel means of investigating general principles governing cellular functions under oxidative stress conditions is needed in order to shed more light on the background of cancer disease. It is believed that relevant signal transmission may be discovered by transition from molecular to modular cell biology. Systems-level kinetic models are thus expected to explain dynamic behavior and go far beyond the static pictures of the topologies of the signaling pathways. The outline of this review is to feature several representative problems, based on combined - experimental and systems biology studies over the last few years, with a particular emphasis both on the elucidation of how cells interpret the same signal stimulation in distinct fashions (cell death vs. cell survival) and on the identification of signaling molecules with therapeutic relevancy. The origin of oscillations in such molecular mechanisms under oxidative stress conditions and the implications of these oscillatory non-linearities for the development of successful therapies are discussed.

Purchase Online Order Reprints Order Eprints Rights and Permissions

Article Details

Volume: 8
First Page:
Page Count:
DOI: 10.2174/15748936113089990017
Global Biotechnology Congress 2016Drug Discovery and Therapy World Congress 2016

Related Journals

Webmaster Contact: Copyright © 2016 Bentham Science