Team:Mexico-UNAM-CINVESTAV/Modeling/Theory

From 2010.igem.org

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== Software references ==
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* Funahashi, A., Tanimura, N., Morohashi, M., and Kitano, H., CellDesigner: a process diagram editor for gene-regulatory and biochemical networks, BIOSILICO, 1:159-162, 2003 [doi:10.1016/S1478-5382(03)02370-9]
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* Funahashi, A.; Matsuoka, Y.; Jouraku, A.; Morohashi, M.; Kikuchi, N.; Kitano, H."CellDesigner 3.5: A Versatile Modeling Tool for Biochemical Networks" Proceedings of the IEEE Volume 96, Issue 8, Aug. 2008 Page(s):1254 - 1265 [doi 10.1109/JPROC.2008.925458]

Revision as of 05:55, 27 October 2010


Model

We designed a model of the Cold shock reponse system in bacteria by describing each possible interaction between the cold shock proteins (CSP) and the cold induced proteins (CIP) and the non-cold induced proteins (non-CIP's) in bacteria. (see Figure 1)

Figure 1: Cualitative representation of the synthesis production of the Cold induced proteins (CIP) and the non-cold induced proteins (non-CIP's. The first part represent physiological temperature, the second the response to cold shock, the aclimatation phase and the third the cold adapted phase. Taken from Taken from Horn G, Hofweber R, Kremer W, Kalbitzer HR (2007) Structure and function of bacterial cold shock proteins. Cell Mol Life Sci 64: 1457–1470


After a complete research in the literature we realized that the amount of interaction between genes, mRNAS, proteins, enzymes, etc was very high. Then we tried to describe only the more significant behaivour of cold shock response system with special attention to the major cold shock protein: Cold shock protein A (CspA) (Figure 2).

Figure 2: Schematic view of several genes involved in cold shock protein A regulation system


One of the goals of our project is isolate the regulation mechanism of the CspA gene to be able to control the expression of any gene. We realized too that this mechanisms is very complex because there are many levels of regulation, transcriptional, post-transcriptional, mRNA stability and traductional. The amount of interactions was very high again so we tried to reduce our description to the main characteristics of the CspA regulation system. (Figure 3)


Figure 3: Simplified cold shock protein A system


It has been observed that the temperature stability affects mainly the translation of many E. coli proteins. And upon cold shock the properties of the CspA mrnas gives them the possibility to be translated much better than the rest of the mRNA of E coli. The effect of the cold shock is represented with the species COLD, this species is constant over time and means that the cell has had a temperature downshift from 37º to 10-15ºC.


The CspA gene is represented by the species Ecoligenes, whick transcribe CspA mRNA at high level. Later the translation of the gene is mediated by COLD and it can be high enough only in low temperatures. CspA gene will act as an RNA chaperone to help the production of the Ecoliprots species.


The E coli genes is represented by the species Ecoligenes that is constant over time too, and led to the production of Ecoliprots species. This synthesis is affected when COLD is "present" and by the CspA protein (RNA chaperone).


Later the Ecoliprots species is expected to reach certain level that is enough to inactivate the production of the CSPA mRNA.


Our more importat assumptions are that the effect of low temperature, 10 to 15ºC, is represented by the species COLD. This species more than a physical effect represent the interaction of the "molecule COLD" with the system. The other one is that the model only represents the system in cold shock enviroentment to the aclimatation phase. (See Figure 1 footer)


Figure 4: Set of equations



Software references

  • Funahashi, A., Tanimura, N., Morohashi, M., and Kitano, H., CellDesigner: a process diagram editor for gene-regulatory and biochemical networks, BIOSILICO, 1:159-162, 2003 [doi:10.1016/S1478-5382(03)02370-9]
  • Funahashi, A.; Matsuoka, Y.; Jouraku, A.; Morohashi, M.; Kikuchi, N.; Kitano, H."CellDesigner 3.5: A Versatile Modeling Tool for Biochemical Networks" Proceedings of the IEEE Volume 96, Issue 8, Aug. 2008 Page(s):1254 - 1265 [doi 10.1109/JPROC.2008.925458]