1. Modelling the cell cycle
G1 phase
M phase
G2 phase
S phase
Modelling the cell cycle
University of Surrey
Cellion Workshop, Lund, August 2006
Morgiane Richard

2. Content Modelling of population growth;
Modelling of the bystander effect;
Experiments at the Gray Cancer Institute;
Conclusions and future work

3. Growth of a population of cells
A single cell in the centre of the dish;
No radiation is applied;
The time scales of glucose diffusion and cell cycle are respected:
The update of the two CA are random;
The probability of updating the diffusion CA is much higher than the probability of updating the biological CA (ca. 103)
The simulation length represents 70 days.

4. Growth of a population of cells
But the simulation is run for about 2 weeks!
Cycling cells
Cells in G1
Dead cells

5. Modelling the bystander effect
Conditions of Schettino et al. (2005):
160 single cells on a dish;
Either 1 or all cells are irradiated;
Cells are let grow for 3 days and colonies are revisited.
Assumptions on the bystander effect:
Probability of triggering the BS: p = 4*d if dose < 0.25 and 1 otherwise.
Probability to survive the BS is 0.88.

6. Modelling the bystander effect

7. Experiments at the Gray Lab
Work on T98 glioma cell line;
Reproduction of the HRS-like survival curve:
first results promising;
Work on the bystander effect induced by irradiated cell conditioned medium:
No obvious bystander effect induced so far;
Toxicity of irradiated medium?

8. Conclusion and future work
Model validated for growth of population;
Test of assumptions made on the bystander effect in Schettino et al. (2005);
Coming soon:
SF described by a linear quadratic model;
BE switch on;
Do we get a HRS-type survival curve?

9. Thank you for your attention!
Any question?

10. Study of the bystander effect

11. Progress in vertical nanobeam construction

12. Progress in vertical nanobeam construction

13. Progress in vertical nanobeam construction

14. Progress in vertical nanobeam construction

15. Progress in vertical nanobeam constructionw f r o m s t .
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