Document Detail


What cycles the cell? -Robust autonomous cell cycle models.
MedLine Citation:
PMID:  19581341     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The cell cycle is one of the best studied cellular mechanisms at the experimental and theoretical levels. Although most of the important biochemical components and reactions of the cell cycle are probably known, the precise way the cell cycle dynamics are driven is still under debate. This phenomenon is not atypical to many other biological systems where the knowledge of the molecular building blocks and the interactions between them does not lead to a coherent picture of the appropriate dynamics. We here propose a methodology to develop plausible models for the driving mechanisms of embryonic and cancerous cell cycles. We first define a key property of the system (a cyclic behaviour in the case of the embryonic cell cycle) and set mathematical constraints on the types of two variable simplified systems robustly reproducing such a cyclic behaviour. We then expand these robust systems to three variables and reiterate the procedure. At each step, we further limit the type of expanded systems to fit the known microbiology until a detailed description of the system is obtained. This methodology produces mathematical descriptions of the required biological systems that are more robust to changes in the precise function and rate constants. This methodology can be extended to practically any type of subcellular mechanism.
Authors:
Orit Lavi; Yoram Louzoun
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-07-06
Journal Detail:
Title:  Mathematical medicine and biology : a journal of the IMA     Volume:  26     ISSN:  1477-8602     ISO Abbreviation:  Math Med Biol     Publication Date:  2009 Dec 
Date Detail:
Created Date:  2009-12-17     Completed Date:  2010-07-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101182345     Medline TA:  Math Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  337-59     Citation Subset:  IM    
Affiliation:
Department of Mathematics, Bar-Ilan University, Ramat Gan 52900, Israel.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Cell Cycle / physiology*
Cyclin-Dependent Kinases / physiology
Cyclins / physiology
E2F Transcription Factors / physiology
Embryo, Mammalian / cytology
Embryo, Nonmammalian / cytology
Eukaryotic Cells / cytology*,  pathology,  physiology
Feedback, Physiological / physiology
Humans
Kinetics
Models, Biological*
Monte Carlo Method
Neoplasms / pathology
Retinoblastoma Protein / physiology
S-Phase Kinase-Associated Proteins / physiology
Transcription Factors / physiology
Chemical
Reg. No./Substance:
0/Cyclins; 0/E2F Transcription Factors; 0/Retinoblastoma Protein; 0/S-Phase Kinase-Associated Proteins; 0/Transcription Factors; EC 2.7.11.22/Cyclin-Dependent Kinases

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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