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Presented by: University of Ottawa iGEM 2008 Nations Capital University of Ottawa Research intensive University First participation in iGEM competition Team exclusively composed and run by undergraduates Recombinant Proteins


  1. Presented by: University of Ottawa iGEM 2008

  2. Nation’s Capital

  3. University of Ottawa • Research intensive University • First participation in iGEM competition • Team exclusively composed and run by undergraduates

  4. Recombinant Proteins

  5. Expression System Bacteria Yeast Plant Mammalian Cells

  6. I’m Limitations Tired Over-expression of recombinant protein • High metabolic burden + stress • Reduced cell growth and productivity • Selective advantage of non-producers

  7. Our Project: The Pulsilator Synthesize recombinant proteins in short, controlled pulses , rather than continuously • Reduce average metabolic load and cellular stress • Allow cells time to recuperate • Maintain productivity of culture over long periods of time

  8. Our Project: The Pulsilator

  9. Chen M.-T., and Weiss R. (2005). Chassis Nature Biotech. 23(12): 1551-1555.

  10. Chen M.-T., and Weiss R. (2005). Chassis Nature Biotech. 23(12): 1551-1555.

  11. Chen M.-T., and Weiss R. (2005). Chassis Nature Biotech. 23(12): 1551-1555. Receiver cells Sender cells

  12. Chen M.-T., and Weiss R. (2005). Chassis Nature Biotech. 23(12): 1551-1555. Receiver cells Incorporate: (1) tet repressor feedforward Sender cells (2) Inducer degradation – Ckx Objectives: (1) Enable pulse-generation (2) Design network reset

  13. Pulse Generator Network Motif Incoherent Type 1 Feedforward loop IP SKN7 TetR IT1 FFL GFP

  14. Pulse Generator Reset CKX Neg. Feedback IT1 FFL IP SKN7 TetR IT1 FFL GFP

  15. The Design

  16. The Design

  17. Non-Genetic Knobs and Dials CKX E A gal/gluc IP SKN7 TetR aTc GFP

  18. Modeling

  19. Chen & Weiss, 2005

  20. Chen & Weiss, 2004 Population dynamics Inducer Pulse Generator Network

  21. Pulse Characteristics c 1.5 Concentration (a.u.) Amp. 1.3 Gain = (c-b)/b Resp. Width Time 1.1 b Offset = b-a a 0 10 20 30 Time (h)

  22. Mixed Sender-Receiver Population

  23. Mixed Sender-Receiver Population 0.050 k deg = 0.5 min -1 0.025 Concentration (a.u.) Pulsilator oscillations 0 somewhat fragile to 0 25 50 75 variation in Ckx 0.050 k deg = 50 min -1 parameters 0.025 0 0 25 50 75 Time (hours) K M = 40 K M = 0.15 K M = 1.5 K M = 0.015

  24. Periodic Induction Pulsilation!!!

  25. Periodic Induction

  26. Periodic Induction

  27. Periodic Induction offset offset …Low-pass filter!!!

  28. Fine Tuning E A CKX gal/gluc IP aTc SKN7 TetR GFP

  29. Fine Tuning Concentration (a.u.) 1.0 0.5 0 0 40 80 Time (min) No aTc Medium aTc Low aTc High aTc

  30. Modeling Summary • Pulse generation – Pulse characteristics sensitive to transcriptional kinetic parameters • Pulsilation – Sender-receiver configuration • Highly sensitive to enzyme kinetics of IP degradation – Periodic induction configuration • Robust • Low-pass filter • Tunable

  31. Lab Work Coarse tuning (genetic)

  32. SSRE Induction by IP Flow cytometry – single SSRE Cell Count Fluorescence Intensity at 530nm

  33. SSRE Induction by IP Flow cytometry – tandem SSRE 900 With IP Without IP Cell Count 10 0 10 1 10 2 10 3 Fluorescence Intensity (530nm)

  34. SSRE Induction by IP IP dose response curve Mean Fluorescence (530nm) IP concentration (µM)

  35. Future Directions • Maximize induction by IP • Integrate Ckx/TetR elements • Monitor IP decay by MS • Fine tuning • Adapt protocol for bioreactor production of different recombinant proteins

  36. Acknowledgements • Mila Tepliakova • Simon St. Pierre • Dawn Fraser • Dr. Ron Weiss • Dr. Ernesto Andrianantoandro • Dr. James Collins • Dr. Thomas Schmülling • Dr. Jikta Frébortová • Dr. André Lalonde

  37. Thank you to our sponsors

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