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QUANTITATIVE PHYSIOLOGY OF CANCER CELL GROWTH: FROM PROTEOME PARTITIONING TO POPULATION RESPONSES - Enrico Bena

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QUANTITATIVE LAWS June 13 -June 24

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QUANTITATIVE PHYSIOLOGY OF CANCER CELL GROWTH: FROM PROTEOME PARTITIONING TO POPULATION RESPONSES - Enrico Bena

  1. 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, UniversitΓ  di Torino, Italy 4Department of Physics, UniversitΓ  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. 2. Bacteria under exponential phase of growth π‘Ÿ = π‘Ÿ0 + πœ† πœ… 𝑑 πœ™ 𝑅 + πœ™ 𝑃 = 1 βˆ’ πœ™ 𝑄 Adapted from: Scott M et al., Curr Opin Biotechnol. 2011 Q P R Bacteria
  3. 3. Cell line Cancer cells: Jurkat (human leukemia)
  4. 4. Cell line Cancer cells: Jurkat (human leukemia) lag exp stationary
  5. 5. Cell line Cancer cells: Jurkat (human leukemia) lag exp stationary π’•π’π’‚π’ˆ 𝑨 𝝀 𝑦 = 𝑨 βˆ™ 𝑒π‘₯𝑝 βˆ’exp⁑ 𝝀 βˆ™ 𝑒 𝑨 π’•π’π’‚π’ˆ βˆ’ 𝑑 + 1 𝝀 οƒ  Maximum growth rate Zwietering et al., Applied and Environmental Microbiology, 1990 Gompertz model
  6. 6. 30 βˆ™ 103 cells in 5 ml 300 βˆ™ 103 cells in 5 ml
  7. 7. 30 βˆ™ 103 cells in 5 ml 300 βˆ™ 103 cells in 5 ml
  8. 8. 30 βˆ™ 103 cells in 5 ml 300 βˆ™ 103 cells in 5 ml
  9. 9. 30 βˆ™ 103 cells in 5 ml 300 βˆ™ 103 cells in 5 ml
  10. 10. Acknowledgments β€’ From the group: β€’ Carla Bosia, Marco Del Giudice, Andrea De Martino, Andrea Pagnani, Riccardo Zecchina Matteo Osella β€’ From the lab: β€’ Francesco SgrΓ², Carlo Cosimo Campa, Emilia Turco β€’ From Imperial College (London) β€’ Francesca Ceroni, Alice Grob

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