Dynamics of resource allocation in Biological Systems II: On cancer cell metabolism
- Published
- Accepted
- Subject Areas
- Biochemistry, Cell Biology, Mathematical Biology, Molecular Biology, Oncology
- Keywords
- Warburg effect, Genomic instability, Cancer cell, Glycolysis, metabolite flux, Required resource content, resource partition, resource remainder
- Copyright
- © 2016 Jeff-Eke
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Dynamics of resource allocation in Biological Systems II: On cancer cell metabolism. PeerJ Preprints 4:e2533v1 https://doi.org/10.7287/peerj.preprints.2533v1
Abstract
Here we shall apply the approach presented in the paper Dynamics of resource allocation in biological systems in considering resource allocation in cancer cell metabolism, specifically, aerobic glycolysis (Warburg effect). Aerobic glycolysis, the metabolic phenomenon of cells utilizing glucose fermentation to lactate even under conditions of ample oxygen availability. We shall consider resource reallocations between processes of two hypothetical cells: a cancer cell and a normal cell. Specifically, we consider reallocation of resources between cancer-related processes of a cancer cell, normal processes of same cancer cell, and processes of a normal cell in attempts to satisfy the high resource requirements for cancer-related processes. In doing this, we draw inferences from the initial work and state hypotheses as pertains to cancer cell metabolism. From this hypotheses, we shall attempt explanation of Aerobic glycolysis. We end by considering genomic instability as a derivation of cancer cell metabolism.
Author Comment
Resource allocation dynamics in biological systems and application to cancer cell metabolism.