QUANTITATIVE LAWS June 13 -June 24

1. Chiara ENRICO BENA1,2, M. Del Giudice1,2, E.Turco3,
M. Osella4, C. Bosia2
Collaborators: F. Ceroni5, A. Grob5
1Department of Applied Science and Technology, Politecnico di Torino, Italy
2Human Genetics Foundation – Torino, Italy
3Department of Molecular Biotechnology and Health Sciences, Università di Torino, Italy
4Department of Physics, Università di Torino, Italy
5Imperial College, London, UK
Quantitative Laws II, Como
Flash Talk
16.06.2016
QUANTITATIVE PHYSIOLOGY OF CANCER
CELL GROWTH: FROM PROTEOME
PARTITIONING TO POPULATION
RESPONSES

2. Bacteria under
exponential phase of growth
𝑟 = 𝑟0 +
𝜆
𝜅 𝑡
𝜙 𝑅 + 𝜙 𝑃 = 1 − 𝜙 𝑄
Adapted from: Scott M et al., Curr Opin Biotechnol. 2011
Q P
R
Bacteria

3. Cell line
Cancer cells: Jurkat (human leukemia)

4. Cell line
Cancer cells: Jurkat (human leukemia)
lag exp stationary

5. Cell line
Cancer cells: Jurkat (human leukemia)
lag exp stationary
𝒕𝒍𝒂𝒈
𝑨
𝝀
𝑦 = 𝑨 ∙ 𝑒𝑥𝑝 −exp⁡
𝝀 ∙ 𝑒
𝑨
𝒕𝒍𝒂𝒈 − 𝑡 + 1
𝝀  Maximum growth rate
Zwietering et al., Applied and Environmental Microbiology, 1990
Gompertz model

7. 30 ∙ 103
cells in 5 ml
300 ∙ 103
cells in 5 ml

8. 30 ∙ 103
cells in 5 ml
300 ∙ 103
cells in 5 ml

9. 30 ∙ 103 cells in 5 ml
300 ∙ 103
cells in 5 ml

10. 30 ∙ 103 cells in 5 ml
300 ∙ 103
cells in 5 ml

11. Acknowledgments
• From the group:
• Carla Bosia, Marco Del Giudice, Andrea De Martino, Andrea
Pagnani, Riccardo Zecchina
Matteo Osella
• From the lab:
• Francesco Sgrò, Carlo Cosimo Campa, Emilia Turco
• From Imperial College (London)
• Francesca Ceroni, Alice Grob